THIS POST IS CONTINUED FROM PART 14, BELOW--
CAPT AJIT VADAKAYIL SAYS AI MUST MEAN “INTELLIGENCE AUGUMENTATION “ IN FUTURE ..
Let this be IA
Let this be IA
OBJECTIVE AI CANNOT HAVE A VISION,
IT CANNOT PRIORITIZE,
IT CANT GLEAN CONTEXT,
IT CANT TELL THE MORAL OF A STORY ,
IT CANT RECOGNIZE A JOKE, OR BE A JUDGE IN A JOKE CONTEST
IT CANT DRIVE CHANGE,
IT CANNOT INNOVATE,
IT CANNOT DO ROOT CAUSE ANALYSIS ,
IT CANNOT MULTI-TASK,
IT CANNOT DETECT SARCASM,
IT CANNOT DO DYNAMIC RISK ASSESSMENT ,
IT IS UNABLE TO REFINE OWN KNOWLEDGE TO WISDOM,
IT IS BLIND TO SUBJECTIVITY,
IT CANNOT EVALUATE POTENTIAL,
IT CANNOT SELF IMPROVE WITH EXPERIENCE,
IT CANNOT UNLEARN
IT IS PRONE TO CATASTROPHIC FORGETTING
IT DOES NOT UNDERSTAND BASICS OF CAUSE AND EFFECT,
IT CANNOT JUDGE SUBJECTIVELY TO VETO/ ABORT,
IT CANNOT FOSTER TEAMWORK DUE TO RESTRICTED SCOPE,
IT CANNOT MENTOR,
IT CANNOT BE CREATIVE,
IT CANNOT THINK FOR ITSELF,
IT CANNOT TEACH OR ANSWER STUDENTs QUESTIONS,
IT CANNOT PATENT AN INVENTION,
IT CANNOT SEE THE BIG PICTURE ,
IT CANNOT FIGURE OUT WHAT IS MORALLY WRONG,
IT CANNOT PROVIDE NATURAL JUSTICE,
IT CANNOT FORMULATE LAWS
IT CANNOT FIGURE OUT WHAT GOES AGAINST HUMAN DIGNITY
IT CAN BE FOOLED EASILY USING DECOYS WHICH CANT FOOL A CHILD,
IT CANNOT BE A SELF STARTER,
IT CANNOT UNDERSTAND APT TIMING,
IT CANNOT FEEL
IT CANNOT GET INSPIRED
IT CANNOT USE PAIN AS FEEDBACK,
IT CANNOT GET EXCITED BY ANYTHING
IT HAS NO SPONTANEITY TO MAKE THE BEST OUT OF SITUATION
IT CAN BE CONFOUNDED BY NEW SITUATIONS
IT CANNOT FIGURE OUT GREY AREAS,
IT CANNOT GLEAN WORTH OR VALUE
IT CANNOT UNDERSTAND TEAMWORK DYNAMICS
IT HAS NO INTENTION
IT HAS NO INTUITION,
IT HAS NO FREE WILL
IT HAS NO DESIRE
IT CANNOT SET A GOAL
IT CANNOT BE SUBJECTED TO THE LAWS OF KARMA
ON THE CONTRARY IT CAN SPAWN FOUL AND RUTHLESS GLOBAL FRAUD ( CLIMATE CHANGE DUE TO CO2 ) WITH DELIBERATE BLACK BOX ALGORITHMS, JUST FEW AMONG MORE THAN 60 CRITICAL INHERENT DEFICIENCIES.
HUMANS HAVE THINGS A COMPUTER CAN NEVER HAVE.. A SUBCONSCIOUS BRAIN LOBE, REM SLEEP WHICH BACKS UP BETWEEN RIGHT/ LEFT BRAIN LOBES AND FROM AAKASHA BANK, A GUT WHICH INTUITS, 30 TRILLION BODY CELLS WHICH HOLD MEMORY, A VAGUS NERVE , AN AMYGDALA , 73% WATER IN BRAIN FOR MEMORY, 10 BILLION MILES ORGANIC DNA MOBIUS WIRING ETC.
SINGULARITY , MY ASS !
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https://ajitvadakayil.blogspot.com/2019/08/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/10/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2019/11/what-artificial-intelligence-cannot-do_4.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do.html
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https://ajitvadakayil.blogspot.com/2020/02/what-artificial-intelligence-cannot-do_21.html
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Ransomware attacks are
happening in India and it is not being reported.. Cyber awareness training is
crucial to detecting attacks
A British student Zain
Qaiser (24) from Barking, London was jailed for more than six years at Kingston
Crown Court for his ransomware attacks in 2019
A good defense for ISRO
against ransomware is the use of whitelisting software that only allows
specified programs to be run on the company's computers and therefore blocks
malware. If traveling, alert your IT department beforehand, especially if
you’re going to be using public wireless Internet.
Make sure you use a
trustworthy Virtual Private Network (VPN) when accessing public Wi-Fi
Few months ago US
prosecutors were forced to drop 11 narcotics cases against six suspected drug
dealers after crucial case files were lost in a ransomware infection
Few days ago Wool sales
across Australia have been halted after Talman, a major software supplier to
the industry, was hit by a ransomware attack that encrypted its production
databases. The attackers encrypted
certain database files, so that makes the whole system inoperative
The city of Del Rio in
Texas was forced to revert to pen and paper systems after a ransomware disabled
their servers; and a lone hacker gained access to Capital One's secure network
and more than 100 million customer accounts and credit card applications
Ransomware is software
that locks down part or all of a website until the owner pays ransom, usually
in difficult-to-trace cyber-currency such as Bitcoin.
Ransomware attacks are
typically carried out using a Trojan that is disguised as a legitimate file
that the user is tricked into downloading or opening when it arrives as an
email attachment. However, one high-profile example, the "WannaCry worm",
travelled automatically between computers without user interaction
Ransomware is growing
rapidly across the internet users but also for the IoT environment
Ransomware attacks are
highly profitable and relatively simple for malicious actors to carry out.
Last year there were
ransomware attacks on cities, hospitals, businesses and universities. Atlanta
spent $2.6 million to restore its systems rather than pay the $52,000 ransom.
Ransomware in 2019 cost the healthcare industry alone over $27 billion.
Ransomware is a form of
malware in which rogue software code effectively holds a user's computer
hostage until a "ransom" fee is paid. Ransomware often infiltrates a
PC as a computer worm or Trojan horse that takes advantage of open security
vulnerabilities.
It is possible for a
Ransomware to spread over a network to your computer. It no longer infects just
the mapped and hard drive of your computer system. Virus attacks nowadays can
take down the entire network down and result in business disruptions.
Ransomware attacks will
become increasingly common as long as there are vulnerable targets and
insurance companies behind them.
Particularly vulnerable are critical network
infrastructure entities, like rural power generation and utility companies,
small local telephone companies and other mission-critical infrastructure that
possibly don’t have the cybersecurity protection that their big city peers
might have.
New ransomware like
CryptXXX not only encrypts all of your files, but also steals Bitcoins if
they're present on your network, as well as stealing other sensitive data.
Ransomware is often
spread through phishing emails that contain malicious attachments or through
drive-by downloading. Drive-by downloading occurs when a user unknowingly
visits an infected website and then malware is downloaded and installed without
the user's knowledge.
Cyber criminals are
launching ransomware attacks that are specifically targeting industrial control
systems (ICS).. File-encrypting malware being built to directly infect computer
networks that control operations in manufacturing and utilities environments.
Files encrypted are renamed with a random five character file extension, while
victims are presented with a ransom note with an email address to contact to
negotiate a ransom to be paid in cryptocurrency.
I n order to protect against ransomware
attacks, it's recommended that ICS systems are segmented from the rest of the
network, so even if a standard Windows machine is compromised, an attacker
can't just move onto systems that control infrastructure.
Organisations should
also ensure that systems are regularly backed up and stored offline; and for
ICS operations in particular, backups must include the last known good-configuration
data to ensure a swift recovery.
European law enforcement agency Europol's annual cybercrime report – the
Internet Organised Crime Threat Assessment (IOCTA) – lists ransomware as the
most widespread and financially damaging cyberattack..
Cyber criminals are becoming more efficient,
picking and choosing their targets with the aim of causing the highest amount
of damage possible to organisations in order to demand much higher
ransoms.
Ransom demands are kept secret
-. ransom demands are now exceeding one million Euros. The Europol report warns there's a risk of cyber
criminals deploying ransomware attacks as a means of pure sabotage..
The
NotPetya attacks of 2017 showed how much damage can be done by a destructive
cyberattack of this kind: in some cases it led to large companies having to
almost entirely restore their networks from scratch, suffering large amounts of
downtime and large financial costs as a result.
NotPetya looked like
ransomware but the group behind it had no interest in receiving ransom
payments, the motivation behind the attack was pure destruction. The target for
this destruction was Ukraine, but the attack got out of control and spread
around the world.
A form of this ransomware attack emerged earlier this year.
Named GermanWiper, the ransomware hit organisations across Germany with attacks
that didn't encrypt files, but rewrote the files to destroy them.
Ultimately, it meant
that even if a user paid the ransom, they wouldn't get their files back at all
– unless they had offline back-ups.
Ransomware itself may
have changed but the methods for distributing it have stayed the same over the
last year: phishing emails and remote desktop protocols (RDPs) are the primary
infection vectors of the malware.
Often, the attackers
pushing ransomware are doing so with the aid of known vulnerabilities for which
vendors have already issued security updates. Because of this, Europol stresses
the importance of patching, especially when it comes to critical
vulnerabilities.
The report notes that
almost one million devices still haven't been patched against the powerful
BlueKeep vulnerability, leaving networks open to attacks using the exploit.
The message from
Europol is clear – ransomware and other cyberattacks won't be disappearing any
time soon, especially if cyber criminals are able to take advantage of known
vulnerabilities and old attacks.
In 2017, the WannaCry
ransomware attack hit organizations in over 150 countries around the world,
marking the beginning of a new era in cyberattack sophistication. Its success
lay in its ability to move laterally through an organization in a matter of
seconds while paralysing hard drives, and the incident went on to inspire
multiple copycat attacks
Malware is malicious
software, which - if able to run - can cause harm in many ways, including:--
causing a device to
become locked or unusable
stealing, deleting or
encrypting data
taking control of your
devices to attack other organisations
obtaining credentials
which allow access to your organisation's systems or services that you use
'mining' cryptocurrency
using services that may
cost you money (e.g. premium rate phone calls).
Ransomware is a type of
malware that prevents you from accessing your computer (or the data that is
stored on it). The computer itself may become locked, or the data on it might
be stolen, deleted or encrypted. Some ransomware will also try to spread to
other machines on the network, such as the Wannacry malware that impacted the
NHS in May 2017.
Occasionally malware is
presented as ransomware, but after the ransom is paid the files are not
decrypted. This is known as wiper malware. For these reasons, it's essential
that you always have a recent offline backup of your most important files and
data.
Make regular backups
The key action to take
to mitigate ransomware is to ensure that you have up-to-date backups of
important files; if so, you will be able to recover your data without having to
pay a ransom.
Make regular backups of
your most important files - it will be different for every organisation - and
check that you know how to restore the files from the backup.
Ensure that a backup is
kept separate from your network ('offline'), or in a cloud service designed for
this purpose - our blog on offline backups in an online world provides useful
additional advice for organisations.
Cloud syncing services
(like Dropbox, OneDrive and SharePoint, or Google Drive) should not be used as
your only backup. This is because they may automatically synchronise
immediately after your files have been 'ransomwared', and then you'll lose your
synchronised copies as well.
Make sure the device
containing your backup (such as an external hard drive or a USB stick) is not
permanently connected to your network and that you ideally have multiple
copies. An attacker may choose to launch a ransomware attack when they know
that the storage containing the backups is connected.
Prevent malware from
being delivered to devices
You can reduce the
likelihood of malicious content reaching your network through a combination of:-
filtering to only allow
file types you would expect to receive
blocking websites that
are known to be malicious
actively inspecting
content
using signatures to
block known malicious code
These are typically
done by network services rather than users' devices. Examples include:---
mail filtering (in
combination with spam filtering) which can block malicious emails and remove
executable attachments
intercepting proxies,
which block known-malicious websites
internet security
gateways, which can inspect content in certain protocols (including some
encrypted protocols) for known malware
safe browsing lists
within your web browsers which can prevent access to sites known to be hosting
malicious content
Public sector
organisations are encouraged to subscribe to the NCSC Protective DNS service;
this will prevent users from reaching known malicious sites.
Some ransomware attacks
are deployed by attackers who have gained access to networks through remote access
software like RDP. You should prevent attackers from being able to brute-force
access to your networks through this (or similar) software by either:----
authenticating using
Multi-Factor Authentication (MFA)
ensuring users have
first connected through a VPN that meets our recommendations.
Prevent malware from
running on devices
A 'defence in depth'
approach assumes that malware will reach your devices. You should therefore
take steps to prevent malware from running. The steps required will vary for
each device type and OS , but in general you should look to use device-level
security features such as:---
Centrally manage
enterprise devices in order to either:-
• only permit
applications trusted by the enterprise to run on devices using technologies
including AppLocker, or
• only permit the
running of applications from trusted app stores (or other trusted locations)
Consider whether
enterprise antivirus or anti-malware products are necessary, and keep the
software (and its definition files) up to date.
Provide security
education and awareness training to your people, for example NCSC's Top Tips
For Staff.
Disable or constrain
macros in productivity suites, which means:--
• disabling (or
constraining) other scripting environments (e.g. PowerShell)
• disabling autorun for
mounted media (prevent the use of removable media if it is not needed)
• protect your systems
from malicious Microsoft Office macros
In addition, attackers
can force their code to execute by exploiting vulnerabilities in the device.
Prevent this by keeping devices well-configured and up to date.
It is recommended that you:--
install security
updates as soon as they become available in order to fix exploitable bugs in
your products. The NCSC has produced guidance on how to manage vulnerabilities
within your organisation
enable automatic
updates for operating systems, applications, and firmware if you can
use the latest versions
of operating systems and applications to take advantage of the latest security
features
configure host-based
and network firewalls, disallowing inbound connections by default
The NCSC's End User
Devices Security Guidance provides advice on how to achieve this across a
variety of platforms.
Limit the impact of
infection and enable rapid response
If put in place, the
following steps will ensure your incident responders can help your organisation
to recover quickly.
Help prevent malware
spreading across your organisation by following NCSC guidance on preventing
lateral movement. This will help because attackers aim to move across machines
on the network. This might include targeting authentication credentials or
perhaps abusing built-in tools.
Use two-factor
authentication (also known as 2FA) to authenticate users so that if malware
steals credentials they can't be reused.
Ensure obsolete
platforms (OS and apps) are properly segregated from the rest of the network
Regularly review and
remove user permissions that are no longer required, to limit malware's ability
to spread. Malware can only spread to places on your network that infected
users' accounts have access to.
System Administrators
should avoid using their administrator accounts for email and web browsing, to
avoid malware being able to run with their high levels of system privilege.
Architect your network
so that management interfaces are minimally exposed (our blog post on
protecting management interfaces may help).
Practice good asset
management, including keeping track of which versions of software are installed
on your devices so that you can target security updates quickly if you need to.
Keep your
infrastructure patched, just as you keep your devices patched and prioritise
devices performing a security-related function on your network (such as
firewalls), and anything on your network boundary.
Develop an incident
response plan and exercise it.
Steps to take if your
organisation is already infected--
If your organisation
has already been infected with malware, these steps may help limit the impact
of the infection..
Immediately disconnect
the infected computers, laptops or tablets from all network connections,
whether wired, wireless or mobile phone based.
Consider whether
turning off your Wi-Fi and disabling any core network connections (including
switches) might be necessary in a very serious case.
Reset credentials
including passwords (especially for administrators) - but verify that you are
not locking yourself out of systems that are needed for recovery.
Safely wipe the
infected devices and reinstall the operating system.
Before you restore from
a backup, verify that it is free from malware and ransomware. You should only
restore from a backup if you are very confident that the backup is clean.
Connect devices to a
clean network in order to download, install and update the operating system and
all other software.
Install, update, and
run antivirus software.
Reconnect to your
network.
Monitor network traffic
and run antivirus scans to identify if any infection remains.
Note: Files encrypted
by most ransomware have no way of being decrypted by anyone other than the
attacker.
Don't waste your time or money on services that promise to do it. In
some cases, security professionals have produced tools that can decrypt files
due to weaknesses in the malware (which may be able to recover some data), but
you should take precautions before running unknown tools on your devices.
2020 will likely see an
increase in mobile threats, with hackers taking advantage of unsecured public
Wi-Fi networks to tap into users’ web sessions and steal identity data and
log-ins.
Hackers will be ramping up attacks that target users’ smartphones and
tablets, using malware hidden in ordinary-looking apps that users download
unwittingly – just the first half of 2019 saw a 50% increase in mobile banking
malware compared with 2018, for example, with users losing payment data,
credentials and money to cyber attackers.
Even public charging points can be
stocked with malware by attackers. In 2020, the devices we use most frequently
will become an increasingly popular attack surface.
Phishing will get even
more sophisticated. Most cyber attacks today generally begin with a successful
phishing attack. According to Microsoft, the number of inbound phishing emails
more than doubled in 2019.
In 2020, you can expect
to see attackers continue to use targeted spear phishing attacks in big
numbers, as open source intelligence (OSINT) tools like Maltego and the vast
amount of personal data available on sites like LinkedIn and Facebook enable
attackers to create ever more convincing phishing emails.
Worms make a comeback.
Worms have always been popular because they self-replicate, helping hackers
spread attacks without the need for user interaction. Following the drastic
warning of the WannaCry ransomware cryptoworm attacks of 2017 that caused
billions of dollars of damage, industry should have become a lot more vigilant.
However, 2020 presents
a new playing field for worms in the shape of Bluekeep, a Microsoft flaw that
affects computers and server operating systems and can let attackers remotely
run malware or ransomware on vulnerable computers.
AI and ML. 2020 will
also see attackers increasingly use artificial intelligence (AI) and machine
learning (ML) to scale up attacks past general human ability to recognize or
respond to them. AI and ML enable malicious programs to learn to attack things
by themselves and make cyber attacks quicker and easier to carry out.
Using AI, an attacker
can carry out multiple and repeated attacks on a network by programming a few
lines of code to perform most of the work.
Hackers are turning to AI and using it to weaponize malware and attacks
to counter the advancements made in cybersecurity solutions
The usual golden rules
apply. IT and OT cybersecurity should be assessed at board level and managed as
part of your critical business strategy and your organization’s corporate risk
management. Don’t get carried away spending on new tech and shiny boxes; focus
on finding a balance between spending on response and training as well as
pre-emptive defense and detection.
Companies should work
to combine ML with statistical analysis to predict attacks. ML and analytics
can help you uncover cyber attackers’ underlying attack patterns, thereby
enabling an AI system to predict attackers’ next moves, evaluate where a
subsequent attack is most likely to occur and even determine which threat
actors are the most likely originators.
Never assume, always
prepare
Never assume you will
not be the victim of a big data breach or major hack – your company will always
need to have managed threat management and intelligence in place as well as
detection and response systems and services. Be careful out there.
NATURAL LANGUAGE
PROCESSING: A specific ML approach that
helps computers understand, interpret,
and manipulate human language. It does this by breaking down language into shorter
pieces and discovering how the pieces
fit together to create meaning. Natural
language processing enables commonly
used services such as Google Translate and chatbots.
NLP is not Neuro
Linguistic Programming, a work of
charlatans
Text mining (also
referred to as text analytics) is an artificial intelligence (AI) technology
that uses natural language processing (NLP) to transform the free
(unstructured) text in documents and databases into normalized, structured data
suitable for analysis or to drive machine learning (ML) algorithms. text mining
is the process of examining large collections of documents to discover new
information or help answer specific research questions.
Text mining identifies
facts, relationships and assertions that would otherwise remain buried in the
mass of textual big data. Once extracted, this information is converted into a
structured form that can be further analyzed, or presented directly using clustered
HTML tables, mind maps, charts, etc. Text mining employs a variety of
methodologies to process the text, one of the most important of these being
Natural Language Processing (NLP).
Cognitive Computing –
describes platforms that combine artificial intelligence with all other aspects
of cognitive cycle – like perception, reasoning and optimizing decisions – that
collectively approaches human-level cognitive dynamics. They encompass
disciplines such as machine learning, natural language processing (NLP) and
computer vision among others.
The ultimate objective
of NLP is to read, decipher, understand, and make sense of the human languages
in a manner that is valuable
NLP is the ability to
extract or generate meaning and intent from text in a readable, stylistically
natural, and grammatically correct form.
Natural Language
Understanding (NLU) – a sub-field of natural language processing (NLP). It deals
with machine reading comprehension. Natural-language understanding is considered
an AI-hard problem.
Its application involves
automated reasoning, machine translation, question answering, news-gathering, text categorization,
voice-activation, archiving, and large-scale content analysis.
Natural Language
Understanding (NLU) is the comprehension by computers of the structure and
meaning of human language (e.g., English, Spanish, Japanese), allowing users to
interact with the computer using natural sentences”.
In other words, NLU is
Artificial Intelligence that uses computer software to interpret text and any
type of unstructured data. NLU can digest a text, translate it into computer
language and produce an output in a language that humans can understand.
NLU and natural
language processing (NLP) are often confused. Instead they are different parts
of the same process of natural language elaboration. Indeed, NLU is a component
of NLP. More precisely, it is a subset of the understanding and comprehension
part of natural language processing.
Natural language understanding
interprets the meaning that the user communicates and classifies it into proper
intents. For example, it is relatively easy for humans who speak the same
language to understand each other, although mispronunciations, choice of
vocabulary or phrasings may complicate this.
NLU is responsible for this task
of distinguishing what is meant by applying a range of processes such as text
categorization, content analysis and sentiment analysis, which enables the
machine to handle different inputs.
On the other hand,
natural language processing is an umbrella term to explain the whole process of
turning unstructured data into structured data. NLP helps technology to engage
in communication using natural human language. As a result, we now have the
opportunity to establish a conversation with virtual technology in order to
accomplish tasks and answer questions.
Natural language
generation (NLG) is the process of artificial intelligence interpreting data
and presenting or displaying the data in a digestible, easily understood
manner. These tools are used when processing large data sets, structured or
unstructured, to create business actions based on the data.
It involves using
databases to derive semantic intentions and convert them into human language. Natural-language
generation (NLG) is a software process that transforms structured data into
natural language. It can be used to produce long form content for organizations
to automate custom reports, as well as produce custom content for a web or
mobile application.
It can also be used to generate short blurbs of text in
interactive conversations (a chatbot) which might even be read out by a
text-to-speech system.
Automated NLG can be
compared to the process humans use when they turn ideas into writing or speech.
It can be described in
mathematical terms, or modeled in a computer for psychological research. NLG
systems can also be compared to translators of artificial computer languages,
such as decompilers or transpilers, which also produce human-readable code
generated from an intermediate representation.
Human languages tend to be
considerably more complex and allow for much more ambiguity and variety of
expression than programming languages, which makes NLG more challenging.
Turing Natural Language
Generation (T-NLG) is a 17 billion parameter language model by Microsoft that
outperforms the state of the art on many downstream NLP tasks. T-NLG is a Transformer-based generative
language model, which means it can generate words to complete open-ended
textual tasks.
In addition to completing an unfinished sentence, it can
generate direct answers to questions and summaries of input documents. Generative
models like T-NLG are important for NLP tasks since the goal is to respond as
directly, accurately, and fluently as humans can in any situation. With T-NLG
we can naturally summarize or answer questions about a personal document or
email thread.
NLG addresses a
different problem set than NLP/NLU, as the focus is on giving voice to data.
Specifically, NLG is meant to extract actionable insights from vast amounts of
data. We don’t normally think about
voice-enabling data, but the output is similar what text-to-speech produces.
That is, the content is converted to a different format that in many cases is
easier to consume, and makes the underlying content more valuable.
Whereas NLP/NLU works
with unstructured data – voice – NLG works with data, which is highly
structured. Rather than focus on the challenges of removing ambiguity from
language and understanding intent, NLG applies AI to create narratives around
the data, which can then be consumed either in text or voice form. NLG
platforms can provide workers with a personal virtual analyst to manage various
forms of data that otherwise require human effort.
NLG is tailor-made to
help workers get the most from the data that touches almost every aspect of
their jobs.
T-NLG is a Transformer-based
generative language model, which means it can generate words to complete
open-ended textual tasks. In addition to completing an unfinished sentence, it
can generate direct answers to questions and summaries of input documents
Scalability of AI, --
NLG can process vast amounts of data, so the tools are there to generate new
and richer insights that a manual effort could easily miss. Add to that the
speed of AI, where the benefit is the ability to generate reports faster than humans
can do. Not only that, but this means that reports can be dynamically updated
on the fly, such as when tallying real-time data for a survey poll.
AI is a branch of
computer science that aims to produce intelligent machines that have the
characteristics of a human like learning, perception, recognition, planning,
problem solving and reasoning. ..
Artificial intelligence
technologies are utilized in pattern recognition that understands languages
spoken by human beings and handwriting and in machine translation systems.
AI studies human
intelligence and aims at embedding intelligent behavior, learning, and
adaptation capabilities into machines. .. It has capacities for self-learning.
..This is the process of simulating human intelligence in machines. It includes
the different skills of humans like problem solving, reasoning, knowledge
gaining, learning, planning, manipulating, and perception..
AI deals with
intelligent behaviour, learning, and adaptation in machines. . It is designed
to exhibit features of human intelligence, including for example being able
understand questions via natural language (human speech), solve complex
problems and present reasoning, and output answers using natural language..
Machine learning is the
best tool so far to analyze, understand and identify a pattern in the data. Machine
learning provides machines the ability to learn automatically by feeding it
tons of data & allowing it to improve through experience. Thus, Machine
Learning is a practice of getting Machines to solve problems by gaining the
ability to think.
The distinctive feature
of AI is that the machine can go beyond its code and "learn" new
things and thus outgrow its original programming.
.
Machine learning is
much better at doing certain things than people, just as a dog is much better
at finding drugs than people, but you wouldn’t convict someone on a dog’s
evidence. And dogs are much more intelligent than any machine learning.
Until about 2013, If
you wanted to make a software system that could, say, recognise a cat in a
photo, you would write logical steps. You’d make something that looked for edges
in an image, and an eye detector, and a texture analyser for fur, and try to
count legs, and so on, and you’d bolt them all together... and it would never
really work. Conceptually, this is rather like trying to make a mechanical
horse - it’s possible in theory, but in practice the complexity is too great
for us to be able to describe. You end up with hundreds or thousands of
hand-written rules without getting a working model.
With machine learning,
we don’t use hand-written rules to recognise X or Y. Instead, we take a
thousand examples of X and a thousand examples of Y, and we get the computer to
build a model based on statistical analysis of those examples. Then we can give
that model a new data point and it says, with a given degree of accuracy, whether
it fits example set X or example set Y. Machine learning uses data to generate
a model, rather than a human being writing the model. This produces startlingly
good results, particularly for recognition or pattern-finding problems, and
this is the reason why the whole tech industry is being remade around machine
learning.
Machine Learning is the
science of getting computers to learn and act like humans do, and improve their
learning over time in autonomous fashion, by feeding them data and information
in the form of observations and real-world interactions.
Machine learning
systems are not interchangeable, even in a narrow application like image
recognition. You have to tune the structure of the system, sometimes just by
trial and error, to be good at spotting the particular features in the data
that you’re interested in, until you get to the desired degree of accuracy
People aren’t doing the
statistical analysis directly anymore - it’s being done by machines, that
generate models of great complexity and size that are not straightforward to
analyse.
Machine learning is the
best tool so far to analyze, understand and identify a pattern in the data. One
of the main ideas behind machine learning is that the computer can be trained
to automate tasks that would be exhaustive or impossible for a human being. The
clear breach from the traditional analysis is that machine learning can take
decisions with minimal human intervention.
The idea behind machine
learning is that the machine can learn without human intervention. The machine
needs to find a way to learn how to solve a task given the data. Machine Learning systems can learn on their
own, but only by recognizing patterns in large datasets and making decisions
based on similar situations. Machine
Learning is dependent on large amounts of data to be able to predict outcomes.
If there are few or no
structured inputs to extract patterns, Machine Learning systems can’t solve a
new problem that has no apparent relation to its prior knowledge.
Again, the idea behind
machine learning is that the machine can learn without human intervention. The
machine needs to find a way to learn how to solve a task given the data.
Learning without any
kind of supervision requires an ability to identify patterns in streams of
inputs, whereas learning with adequate supervision involves classification and
numerical regressions.
Computerized reasoning
is insight shown by machines, rather than the characteristic knowledge showed
by people Using processes like neural
network technology and machine learning, AI attaches an intelligent or smart
capacity to machines. Modern healthcare, telecoms, management, and financial
industries of today all employ AI for many of their business processes.
AI market is expected
to become a $ 200 billion industry by 2025.
Chatbots will power 88% of customer service by 2020
Within AI and next to
ML there are the fields of robotics, speech recognition, computer vision, etc.,
which are key building blocks towards enabling machine intelligence.
Government agencies
such as public safety and utilities have a particular need for machine learning
since they have multiple sources of data that can be mined for insights.
Given the complexity of
financial fraud, and the speed at which cybercriminals adapt, a combination of
supervised and unsupervised machine learning methods are needed to create a
model with sufficient predictive capability and accuracy.
Machine learning models
operate with tens of thousands of parameters and are far more effective in
finding subtle correlations in data, which may be hidden for an expert system,
or a human reviewer.
The biggest problem
with machine learning systems is that we ourselves don't quite understand
everything they're supposedly learning, nor are we certain they're learning
everything they should or could be. We've created systems that draw mostly,
though never entirely, correct inferences from ordinary data, by way of logic
that is by no means obvious.
The whole point of
machine learning is to infer the relationships between objects when, unlike the
tides, it isn't already clear to human beings what those relationships are.
Machine learning is put to use when linear regression or best-fit curves are
insufficient -- when math can't explain the relationship.
But perhaps that should
have been our first clue: If no mathematical correlation exists, then shouldn't
any other kind of relationship we can extrapolate be naturally weaker? Does a
relationship exist, for instance, between a certain tech journalist with a
goatee and any recorded inferences from suspected, goatee-wearing watch-list
terrorists? And if there does exist such a relationship, should it?
.
With an AI that can
examine thousands of scans in a minute, the “dull drudgery” is left to
machines, and the doctors are freed to concentrate on the parts of the job that
require more complex, subtle, experience-based judgment of the best treatments
and the needs of the patient.
Explainability,
meanwhile, is the extent to which the internal mechanics of a machine or deep
learning system can be explained in human terms. It’s easy to miss the subtle
difference with interpretability, but consider it like this: interpretability
is about being able to discern the mechanics without necessarily knowing why.
Explainability is being able to quite literally explain what is happening.
Data gathering. All
machine learning models require data as inputs. In today’s increasingly
digitized world, data can be derived from various sources including user
interactions on a website, collections of photo images and sensor recordings.
Data preparation. Data
collected are rarely in a usable state as-is. Data often need to be cleaned,
transformed and checked for errors before they are ready to be fed into a
model.
Data preparation is the
process of cleaning and transforming raw data prior to processing and analysis.
It is an important step prior to processing and often involves reformatting
data, making corrections to data and the combining of data sets to enrich data
Data preparation is the
act of manipulating (or pre-processing) raw data (which may come from disparate
data sources) into a form that can readily and accurately be analysed, e.g. for
business purposes.
Data preparation is the
first step in data analytics projects and can include many discrete tasks such
as loading data or data ingestion, data fusion, data cleaning, data
augmentation, and data delivery.
The issues to be dealt
with fall into two main categories:--
systematic errors
involving large numbers of data records, probably because they have come from
different sources;
individual errors
affecting small numbers of data records, probably due to errors in the original
data entry.
Data Preparation
involves checking or logging the data in; checking the data for accuracy;
entering the data into the computer; transforming the data, and developing and documenting
a database structure that integrates the various measures.
There are a wide
variety of ways to enter the data into the computer for analysis. Probably the
easiest is to just type the data in directly. In order to assure a high level
of data accuracy, the analyst should use a procedure called double entry. In
this procedure you enter the data once.
Then, you use a special
program that allows you to enter the data a second time and checks each second
entry against the first. If there is a discrepancy, the program notifies the
user and allows the user to determine the correct entry. This double entry
procedure significantly reduces entry errors.
Data preparation is a
pre-processing step that involves cleansing, transforming, and consolidating
data. In other words, it is a process that involves connecting to one or many
different data sources, cleaning dirty data, reformatting or restructuring
data, and finally merging this data to be consumed for analysis. More often
than not, this is the most time consuming step of the entire analysis life
cycle and the speed and efficiency of the data prep process directly impacts
the time it takes to discover insights.
Cleaning up messy data
involves tasks such as:--
Merging: Combine/enrich
relevant data from different datasets into a new dataset
Appending: Combine two
smaller (but similar) datasets into a larger dataset
Filtering: Rule-based
narrowing of a larger dataset into a smaller dataset
Deduping: Remove
duplicates based on specific criteria as defined
Cleansing: Edit or
replace values, i.e. some records had “F” as gender while others had “Female”;
alter to have “Female” for all records or set NULL values to a default value
Transforming: Convert
missing values or derive a new column from existing column(s)
Aggregating: Roll up
data to have summarized data for analysis
Sampling &
Partitioning: This involves breaking down the entire dataset into a smaller set
of sample data to reduce the size of the training data. These samples are then
used for training, testing, and validating the model. It is important to ensure
that the sample set includes data covering various scenarios to ensure the
model is trained accordingly and not end up with a biased or inaccurate model.
Data becomes a precious
resource only if it is cleansed, well-labeled, annotated, and prepared. Once
the data goes through various stages of fitness tests it then finally becomes
qualified for further processing. The processing could be of several methods -
data ingested to BI tools, CRM database, developing algorithms for analytical
models, data management tools and so on.
More than 80% of a data
scientist’s time is spent on preparing the data.
Data scientists should
ideally be spending more of their time interacting with data, advanced
analytics, training and evaluating the model, and deploy to production.
Only 20% of the time
goes into the major chunk of the process. In order to overcome time
constraints, organizations need to reduce the time taken (varies depending on
the complexity of the project) on cleansing, augmenting, labeling and enriching
the data by leveraging expert solutions for data engineering, labeling, and
preparation.
This brings us to the
concept of Garbage in garbage out i.e. the quality of output is determined by
the quality of the input.
The Data Preparation
Process—
Here’s a quick brief of
the data preparation process specific to machine learning models:--
Data extraction the
first stage of the data workflow is the extraction process which is typically
retrieval of data from unstructured sources like web pages, PDF documents,
spool files, emails, etc. The process deployed in extracting the information
from the web is termed as web scraping.
Data profiling is the
process of reviewing existing data to improve the quality and bring structure
through a format. This helps in assessing the quality and coherence to
particular standards. Most machine learning models fail to work when the
datasets are imbalanced and not well-profiled.
Data cleansing ensures
data is clean, comprehensive, error-free with accurate information as it helps
in detecting outliers not only for texts and numeric but also irrelevant pixels
from images. You can eliminate bias and obsolete information to ensure your
data is clean.
Data transformation is
transforming data to make it homogeneous. Data like addresses, names, and other
field types are represented in different formats and data transformation helps
in standardizing and normalizing this.
Data anonymization is
the process of removing or encrypting personal information from the datasets to
protect privacy.
Data augmentation is
used to diversify the data available for your training models. Bringing in
additional information without extracting new information includes cropping and
padding to train neural networks.
Data sampling Identify
representative subsets from large datasets to analyze and manipulate data.
Feature engineering is
a major determinant of classifying a machine learning model as a good or a bad
model. To improve the model accuracy you would combine datasets to consolidate
it into one.
Data Labeling - An
essential and integral part of data preparation .. Labeling is simply assigning tags to a
set of unlabeled data to make it more identifiable for predictive
analysis.
These labels indicate
whether the animal in the photo is a dog or a fox ..
Labeling helps the
machine learning model to guess and predict a piece of unlabeled data as a
result of feeding the model with millions of labeled data.
Poor data and good
models are a bad combination that can ruin the efficiency and performance of
the model you intend to build.
There are a plenty of
data preparation solutions available out there that can help you save time and
achieve efficiency. Though there are self-service data preparation tools
available out there in the market, the managed services slightly have an edge
over them considering the scalability of the in-house infrastructure,
leveraging vast data collection from disparate sources, compliance to various
data norms and guidelines, getting expert assistance as and when needed.
Data preprocessing is a
data mining technique that involves transforming raw data into an
understandable format. Real-world data is often incomplete, inconsistent,
and/or lacking in certain behaviors or trends, and is likely to contain many
errors.
Steps Of data
preprocessing:--
Data cleaning: fill in
missing values, smooth noisy data, identify or remove outliers, and resolve
inconsistencies.
Data integration: using
multiple databases, data cubes, or files.
Data transformation:
normalization and aggregation.
Data Generalization is
the process of creating successive layers of summary data in an evaluational
database. It is a process of zooming out to get a broader view of a problem,
trend or situation. It is also known as rolling-up data.
The training data is
used to make sure the machine recognizes patterns in the data, the
cross-validation data is used to ensure better accuracy and efficiency of the
algorithm used to train the machine, and the test data is used to see how well
the machine can predict new answers based on its training
Dataset is split into
training and testing sets. The training dataset is used to build and train the
model while the testing dataset, which is kept separate, is used to evaluate
how well the model performs. It is important to assess the model on data it has
not seen before in order to ensure that it has indeed learned something about
the underlying structure of the data rather than simply “memorized” the
training data.
Training data's output
is available to model whereas testing data is the unseen data for which predictions
have to be made.
In machine learning, a
common task is the study and construction of algorithms that can learn from and
make predictions on data. Such algorithms work by making data-driven
predictions or decisions,through building a mathematical model from input
data.
The data used to build
the final model usually comes from multiple datasets. In particular, three data
sets are commonly used in different stages of the creation of the model.
The model is initially
fit on a training dataset, that is a set of examples used to fit the
parameters (e.g. weights of connections between neurons in artificial neural
networks) of the model. The model (e.g. a neural net or a naive Bayes
classifier) is trained on the training dataset using a supervised learning
method (e.g. gradient descent or stochastic gradient descent).
In practice, the
training dataset often consists of pairs of an input vector (or scalar) and the
corresponding output vector (or scalar), which is commonly denoted as the
target (or label). The current model is run with the training dataset and
produces a result, which is then compared with the target, for each input
vector in the training dataset.
Based on the result of the comparison and the
specific learning algorithm being used, the parameters of the model are
adjusted. The model fitting can include both variable selection and parameter
estimation.
Successively, the
fitted model is used to predict the responses for the observations in a second
dataset called the validation dataset. The validation dataset provides an
unbiased evaluation of a model fit on the training dataset while tuning the
model's hyperparameters (e.g. the number of hidden units in a neural
network .
Validation datasets can be used for regularization by early
stopping: stop training when the error on the validation dataset increases, as
this is a sign of overfitting to the training dataset. This simple procedure
is complicated in practice by the fact that the validation dataset's error may
fluctuate during training, producing multiple local minima. This complication
has led to the creation of many ad-hoc rules for deciding when overfitting has
truly begun.
Finally, the test
dataset is a dataset used to provide an unbiased evaluation of a final model
fit on the training dataset . If the data in the test dataset has never been
used in training (for example in cross-validation), the test dataset is also
called a holdout dataset.
Fit and train models.
This is the step where various types of ML models such as regression models,
random forests and neural networks are built and applied to the training data.
Models are iterated on by making small adjustments to their parameters in order
to improve their performance with the goal of generating the most accurate
predictions possible.
Evaluate model on the
test dataset. The top performing model is used on the testing data to get a
sense of how the model will perform on real world data it’s never seen before.
Based on the results, further refinement and tuning of the model may be needed.
Make predictions! Once
the model is finalized, it can begin to be used to answer the question it was
designed for.
If the data available
is that there are more women homemakers and more men computer programmers, and
the mathematical model the machine is building is actually taking that
distribution into account you end up with distributions you don't want to
promote.
A 50/50 distribution between males and females reflects the desired
result in the absence of any other information, but the distribution in the
data has a higher proportion of women associated with one class than men.
The desired value
judgments must be added in or results filtered by an external process, because
the math doesn't tell the machine learning algorithm how to differentiate.
AI, machine learning
and deep learning can produce dangerous results if unchecked by extrapolating
outdated mores to predict the future. The result would be the perpetuation of
unjust perceptions of the past. Any responsible AI technology must be aware of
these limitations and take the steps to avoid them.
One concept that could
compromise ML is known as poisoning the well.
This is where malicious
actors take advantage of the machine learning process and taint the data pool
from which these systems learn how to identify malicious code.
By inserting fraudulent
code into the process, attackers can cause a system to generate false
positives, undermining its intended functionality.
.
Google’s Android
operating system is an open book. Its Play Store is a neutral platform, making
it easy for tech vendors and app developers to post wares for download.
However, some malicious actors have exploited the platform’s open structure
through malware
Google announced that
it has removed around 600 apps from the Play Store as a part of a protracted
effort to clamp down on groups that have violated the company’s disruptive ad
policy. The purged apps collectively account for over 4.5 billion downloads
Once a computer is
infected by malware, criminals can hurt consumers and enterprises in many ways.
Deepfakes can be
leveraged in targeted malicious attacks to extort or manipulate perception and
truth.
Microsoft was able to
successfully implement ML (built into Windows Defense AV) to detect and
mitigate Emotet malware. Emotet is a mature threat that is well known for its
polymorphic capabilities, making it next to impossible to detect the next
variant in the campaign using signature-based strategies.
Detection of Emotet
using AI was achieved through modeling in a decision tree, related to
probabilities, weighted components and calculations performed by the tool. It
also included real-time cloud machine learning across the Windows Defender
complex ML models. This enabled deep learning and real-time protection within
an AI solution set to successfully detect and block Emotet.
AI must be adopted and
implemented in a well-considered, deliberate fashion with an initial emphasis
on manual execution and consistently capable outcomes. Once this is
accomplished organizations can then implement components of orchestration and
automation towards long-term AI goals.
The use of ML/AI today
is best performed to streamline operations in a big data world that’s
constantly changing. Shoddy implementation is a far greater threat than actual
AI-empowered malware today.
As AI becomes a greater
presence in the cybersecurity landscape, how organizations position and defend
will separate survivors from victims. This is especially true for organizations
that embrace the need to transform, leveraging AI to help wade through big
data, contextualized modeling and decisions that need to be made to
operationalize future security
Major banks throughout
Asia were hit by hackers deploying a malicious code, named Silence Malware, on
the banks’ networks; Facebook was the victim of an attack that exposed 540
million records about Facebook users and published them on Amazon's cloud
computing service.
Security researchers found four billion records from 1.2
billion people on an unsecured Elasticsearch server; the UK’s Labour Party
reported it was hit with two DDoS cyber-attacks in the run up to the country’s
general election;. 2019 was also the year of deepfakes, with 2% of deepfake
videos on YouTube featuring corporate figures.
CYBERSECURITY SOLUTIONS
THAT RELY ON ML USE DATA FROM PRIOR CYBER-ATTACKS TO RESPOND TO NEWER BUT
SOMEWHAT SIMILAR RISKS.. FALSE FLAG ATTACKS POISON THE SYSTEM
In this way, an AI
system powered by ML can leverage what it knows and understands about past
attacks and threats to identify other attacks in the same vein or style.
Because hackers are
consistently building upon older threats – including new abilities or tweaking
previously used samples to build out a malware family – utilizing AI and ML
systems to look out for and provide notification of emerging attacks could be
beneficial to stemming the tide of zero-day threats.
In information
technology a reasoning system is a software system that generates conclusions
from available knowledge using logical techniques such as deduction and
induction. Reasoning systems play an important role in the implementation of
artificial intelligence and knowledge-based systems.
By the everyday usage
definition of the phrase, all computer systems are reasoning systems in that
they all automate some type of logic or decision. In typical use in the Information
Technology field however, the phrase is usually reserved for systems that
perform more complex kinds of reasoning.
For example, not for
systems that do fairly straightforward types of reasoning such as calculating a
sales tax or customer discount but making logical inferences about a medical
diagnosis or mathematical theorem.
Reasoning systems come
in two modes: interactive and batch processing. Interactive systems interface
with the user to ask clarifying questions or otherwise allow the user to guide
the reasoning process. Batch systems take in all the available information at
once and generate the best answer possible without user feedback or guidance.
Reasoning systems have
a wide field of application that includes scheduling, business rule processing,
problem solving, complex event processing, intrusion detection, predictive
analytics, robotics, computer vision, and natural language processing.
Conventional,
data-crunching artificial intelligence, which is the foundation of deep
learning, isn’t enough on its own; the human-like reasoning of symbolic
artificial intelligence is fascinating, but on its own, it isn’t enough either.
The unique hybrid
combination of the two — numeric data analytics techniques that include
statistical analysis, modeling, and machine learning, plus the explainability
(and transparency) of symbolic artificial intelligence — is now termed
“cognitive AI.”
A Cognitive computer or
system learn at scale, reasons with purpose and interacts with humans
naturally. Rather than being explicitly programmed, these systems learn and
reason from their interactions with human beings and their experiences with
their environment. Cognitive computing overlaps with Artificial Intelligence
and involves similar technologies to power cognitive applications.
Using cognitive
computing systems helps in making better human decisions at work. Some of the
applications of cognitive computing include speech recognition, sentiment
analysis, face detection, risk assessment, and fraud detection.
Cognitive computing
systems synthesize data from various information sources while weighing context
and conflicting evidence to suggest suitable answers. To achieve this,
cognitive systems include self-learning technologies using data mining, pattern
recognition, and natural language processing (NLP) to understand the way the
human brain works.
Key Attributes--
Adaptive: Cognitive
systems must be flexible enough to understand the changes in the information.
Also, the systems must be able to digest dynamic data in real-time and make
adjustments as the data and environment change.
Interactive:
Human-computer interaction (HCI) is a critical component in cognitive systems.
Users must be able to interact with cognitive machines and define their needs
as those needs change. The technologies must also be able to interact with
other processors, devices and cloud platforms.
Iterative and stateful:
Also, these systems must be able to identify problems by asking questions or
pulling in additional data if the problem is incomplete. The systems do this by
maintaining information about similar situations that have previously occurred.
Contextual: Cognitive
systems must understand, identify and mine contextual data, such as syntax,
time, location, domain, requirements, a specific user’s profile, tasks or
goals. They may draw on multiple sources of information, including structured
and unstructured data and visual, auditory or sensor data.
AI augments human
thinking to solve complex problems. ... Cognitive Computing focuses on mimicking
human behavior and reasoning to solve complex problems. Cognitive Computing
tries to replicate how humans would solve problems while AI seeks to create new
ways to solve problems that can potentially be better than humans
Cognitive computing is
a subset of AI and although the underlying purpose for both these technologies
is to simplify tasks, the difference lies in the way they approach tasks. AI is
used to augment human thinking and solve complex problems
Cognitive computing
describes technologies that are based on the scientific principles behind
artificial intelligence and signal processing, encompassing machine
self-learning, human-computer interaction, natural language processing, data
mining and more.
Cognitive Computing
focuses on mimicking human behavior and reasoning to solve complex problems. AI
augments human thinking to solve complex problems. It focuses on providing
accurate results. It simulates human thought processes to find solutions to
complex problems
AI augments human
thinking to solve complex problems. It focuses on accurately reflecting reality
and providing accurate results. Cognitive Computing focuses on mimicking human
behavior and reasoning to solve complex problems.
Cognitive
computing combines the power of computational processing with
the power of human thinking. ... The Cognitive data scientist has the ability
of use, customize or develop cognitive approach to solve problems or improve
results
PROFORMA: Cognitive Computing // Artificial Intelligence
Cognitive Computing
focuses on mimicking human behavior and reasoning to solve complex problems. //AI augments human thinking to solve complex
problems. It focuses on providing accurate results.
CC simulates human
thought processes to find solutions to complex problems. //AI finds patterns to learn or reveal hidden information and
find solutions.
CC simply supplement
information for humans to make decisions.// AI
is responsible for making decisions on their own minimizing the role of humans.
CC is mostly used in
sectors like customer service, health care, industries, etc. // AI is mostly used in finance,
security, healthcare, retail, manufacturing, etc.
An advanced application
of cognitive modeling is the creation of cognitive machines, which are AI
programs that approximate some areas of human cognition
Applications of
Cognitive AI--
Smart IoT: This
includes connecting and optimizing devices, data and the IoT. But assuming we get more sensors and devices,
the real key is what’s going to connect them.
AI-Enabled
Cybersecurity: We can fight the cyber-attacks with the use of data security
encryption and enhanced situational awareness powered by AI. This will provide
a document, data, and network locking using smart distributed data secured by
an AI key.
Content AI: A solution
powered by cognitive intelligence continuously learns and reasons and can
simultaneously integrate location, time of day, user habits, semantic
intensity, intent, sentiment, social media, contextual awareness, and other
personal attributes
Cognitive Analytics in
Healthcare: The technology implements human-like reasoning software functions
that perform deductive, inductive and abductive analysis for life sciences
applications.
Intent-Based NLP:
Cognitive intelligence can help a business become more analytical in their
approach to management and decision making. This will work as the next step
from machine learning and the future applications of AI will incline towards
using this for performing logical reasoning and analysis.
What are the business
benefits of cognitive computing?
Improved data
collection and interpretation: Cognitive computing applications analyze
patterns and apply machine learning to replicate human capabilities such as
deduction, learning, perception and reasoning. Both structured and unstructured
data can be collected from diverse sources, and in-depth cognitive analytics
are applied to interpret the data.
That information can then be used to improve
visibility into internal processes, how your products and services are being
received, what your customers’ preferences are and how best to build their
loyalty.
Troubleshooting and
error detection: By applying cognitive concepts to a robust technological
environment, cognitive computing can help you more quickly and accurately
identify issues in business processes and uncover opportunities for solutions.
More informed
decision-making: Through its data collection and analysis capabilities,
cognitive computing allows for more informed, strategic decision-making and
business intelligence. This can lead to more efficient business processes,
smarter financial decisions, and overall improved efficiency and cost savings.
Improved customer
retention: Cognitive computing sets the stage for a more helpful, informed
customer-to-technology experience, improving customer interactions. Its ability
to interact with and understand and learn from humans greatly improves overall
customer retention and satisfaction.
]
Cognitive Computing. is
a platform that represents a new era of computing based on its ability to
interact in natural language, process vast amounts of disparate forms of big
data and learn from each interaction.. cognitive
era is a merger of the immense strengths of computers with the current
capabilities of their human operators
Cognitive analytics is
considered as cutting edge framework that chats in human dialect and causes
specialists to settle on better choices by understanding the complexities of
huge information. In the present situation, the vast majority of the
information got is unstructured, for example, pictures, recordings, normal
dialect and images.
Cognitive analytics, with the assistance of various
advances, for example, characteristic dialect handling, machine learning and
robotized thinking, makes an interpretation of unstructured information to
detect, induce and foresee the best arrangement.
cognitive analytics
have a unique way of approaching toward an information where it reveals
patterns, connections and juxtaposition of unpredicted insights. These
processes will assist in bringing out possibilities and will be managed by
autonomous and self-learning platforms. The self-learning pattern of cognitive
enterprise will pave the way in leveraging multifaceted technologies as,
internet of things
The Internet of things
(IoT) is a system of interrelated computing devices, mechanical and digital
machines are provided with unique identifiers (UIDs) and the ability to
transfer data over a network without requiring human-to-human or
human-to-computer interaction.
The definition of the
Internet of things has evolved due to the convergence of multiple technologies,
real-time analytics, machine learning, commodity sensors, and embedded
systems. Traditional fields of embedded systems, wireless sensor networks,
control systems, automation (including home and building automation), and
others all contribute to enabling the Internet of things.
In the consumer
market, IoT technology is most synonymous with products pertaining to the
concept of the "smart home", covering devices and appliances (such as
lighting fixtures, thermostats, home security systems and cameras, and other
home appliances) that support one or more common ecosystems, and can be
controlled via devices associated with that ecosystem, such as smartphones and
smart speakers.
Cognitive analytics is
a field of analytics that tries to mimic the human brain by draw inferences
from existing data and patterns, draws conclusions based on existing knowledge
bases and then inserts this back into the knowledge base for future inferences
- a self learning feedback loop.
When you harness the
power of analytics, automation, and artificial intelligence (AI), you can
uncover hidden relationships from vast amounts of data. Implementing the right
strategy and technology will balance speed, cost, and quality to deliver
measurable business value.
Deep Reasoning is the
field of enabling machines to understand implicit relationships between
different things. For example, consider the following: “all animals drink
water. Cats are animals”. Here, the implicit relationship is that all cats
drink water, but that was never explicitly stated.
Turns out humans are really
good at this kind of relational reasoning and understanding how different
things relate to one another, but it doesn’t come so easily to computers which
operate on strict, explicit rules. Deep reasoning allows AI to understand
abstract relationships between different ‘things’.
A “relation network”
module can easily be plugged into a deep learning model to give it relational
reasoning capabilities.
They did this using 3
networks:---
A
Long-Short-Term-Memory (LSTM) network for processing the question
A convolutional neural
network (CNN) for processing the image
A Relation Network (RN)
to understand how the different objects relate to each other.
Key technology
components were at the core of the wildly successful NASA Mars Rover’s mission.
Alone and 150 million miles from Earth, the rover was able to successfully
adapt to conditions without direct instruction. After a dust storm, it taught
itself to rotate its solar panels and shake off accumulated dust blocking
essential solar ray absorption. Then it taught itself to correlate sensory
evidence with mission objectives to build the first practical weather model of
another planet.
Artificial general
intelligence (AGI) is the representation of generalized human cognitive
abilities in software so that, faced with an unfamiliar task, the AI system
could find a solution.
While benefits of AGI
are obvious, its eventual transition to ASI may create machines that human may
struggle to control. Humans will gain as long as their natural intelligence
controls intelligence of machines.
-
SOCIAL MEDIA MINING IS THE PROCESS OF OBTAINING BIG DATA FROM USER-GENERATED CONTENT ON SOCIAL MEDIA SITES AND MOBILE APPS IN ORDER TO EXTRACT PATTERNS, FORM CONCLUSIONS ABOUT USERS, AND ACT UPON THE INFORMATION, OFTEN FOR THE PURPOSE OF MAKING MONEY BY SELLING IT TO MALICIOUS SPY AGENCIES.
THE FACEBOOK–CAMBRIDGE ANALYTICA DATA SCANDAL WAS A MAJOR POLITICAL SCANDAL IN EARLY 2018 WHEN IT WAS REVEALED THAT CAMBRIDGE ANALYTICA HAD HARVESTED THE PERSONAL DATA OF MILLIONS OF PEOPLE'S FACEBOOK PROFILES WITHOUT THEIR CONSENT..
FACEBOOK REGULARLY COLLECTS IMMENSE VOLUMES OF DATA ON ITS USERS BY TRAWLING THROUGH ADS THAT WERE CLICKED, UPDATES ON PROFILES, SHOWS WATCHED, AND HOLIDAYS, FILING ALL THAT DATA AWAY IN ORDER TO “HELP ADVERTISERS REACH PEOPLE…INTERESTED IN THEIR PRODUCTS, SERVICES, AND CAUSES”.
COMPANIES LIKE GOOGLE SELL DATA ALL THE TIME
SOCIAL MEDIA MINING REQUIRES HUMAN DATA ANALYSTS AND AUTOMATED SOFTWARE PROGRAMS TO SIFT THROUGH MASSIVE AMOUNTS OF RAW SOCIAL MEDIA DATA IN ORDER TO DISCERN PATTERNS AND TRENDS RELATING TO SOCIAL MEDIA USAGE, ONLINE BEHAVIOURS, PERSONAL CHOICES , SOLIDARITY PREFERENCES, SHARING OF CONTENT, CONNECTIONS BETWEEN INDIVIDUALS, ONLINE BUYING BEHAVIOUR, AND MORE.
THESE PATTERNS AND TRENDS ARE OF INTEREST TO KOSHER COMPANIES, HOSTILE GOVERNMENTS AND NOT-FOR-PROFIT ORGANIZATIONS, AS THESE ORGANIZATIONS CAN USE THESE PATTERNS AND TRENDS TO DESIGN THEIR STRATEGIES OR INTRODUCE NEW PROGRAMS, NEW PRODUCTS, PROCESSES OR SERVICES.
SOCIAL MEDIA MINING USES A RANGE OF BASIC CONCEPTS FROM COMPUTER SCIENCE, DATA MINING, MACHINE LEARNING AND STATISTICS. FACEBOOK/ TWITTER MINERS DEVELOP ALGORITHMS SUITABLE FOR INVESTIGATING MASSIVE FILES OF SOCIAL MEDIA DATA.
SOCIAL MEDIA MINING IS BASED ON THEORIES AND METHODOLOGIES FROM SOCIAL NETWORK ANALYSIS, NETWORK SCIENCE, SOCIOLOGY, ETHNOGRAPHY, OPTIMIZATION AND MATHEMATICS. IT ENCOMPASSES THE TOOLS TO FORMALLY REPRESENT, MEASURE AND MODEL MEANINGFUL PATTERNS FROM LARGE-SCALE SOCIAL MEDIA DATA
WEB DATA MINING CAN LEND INFORMATION OUT TO OTHER BUSINESSES FOR MONEY. USERS ARE UNAWARE OF HOW THE INFORMATION COLLECTED ABOUT THEM IS BEING USED. ... HENCE, IT IS UNETHICAL TO USE WEB DATA MINING AS PEOPLE'S PRIVACY IS VIOLATED..
SOCIAL MEDIA ALSO PROVIDES A PERFECT SANDBOX FOR ETHNOGRAPHIES AND STUDYING PEOPLE FOR RELIGIOUS CONVERSIONS OR EVEN HOMOSEXUALITY / DRUG SELLER GROUPS TO HIJACK THEM..
IN USA SOCIAL MEDIA SITES INCLUDING YOUTUBE AND FACEBOOK PLAYED A SIGNIFICANT ROLE IN RAISING FUNDS AND GETTING CANDIDATES’ MESSAGES TO VOTERS, AND THE DATABASE COLLECTED FROM FACEBOOK ALLOWED CAMPAIGNS TO “IDENTIFY POSSIBLE SWING VOTERS AND CRAFT MESSAGES MORE LIKELY TO RESONATE.”
PRISM IS A CODE NAME FOR A PROGRAM UNDER WHICH THE UNITED STATES NATIONAL SECURITY AGENCY (NSA) COLLECTS INTERNET COMMUNICATIONS FROM VARIOUS U.S. INTERNET COMPANIES..
PRISM IS A TOOL USED BY THE US NATIONAL SECURITY AGENCY (NSA) TO COLLECT PRIVATE ELECTRONIC DATA BELONGING TO USERS OF MAJOR INTERNET SERVICES LIKE GMAIL, FACEBOOK, TWITTER ETC
EDWARD SNOWDEN, AN INTELLIGENCE CONTRACTOR FORMERLY EMPLOYED BY THE NSA/ CIA CONFESSED RESPONSIBILITY FOR LEAKING THE PRISM DOCUMENTS.
NSA PROGRAMS COLLECT TWO KINDS OF DATA: METADATA AND CONTENT. METADATA IS THE SENSITIVE BYPRODUCT OF COMMUNICATIONS, SUCH AS PHONE RECORDS THAT REVEAL THE PARTICIPANTS, TIMES, AND DURATIONS OF CALLS; THE COMMUNICATIONS COLLECTED BY PRISM INCLUDE THE CONTENTS OF EMAILS, CHATS, VOIP CALLS, CLOUD-STORED FILES, AND MORE.
CONTINUED TO 2--
With machine learning,
they can’t be sure what discriminatory features the system might learn. Absent
the market forces, unless companies are compelled to be transparent about the
development and their use of opaque technology in domains where fairness
matters, it’s not going to happen.
Machine Learning enable systems to learn patterns from data
and subsequently improve from experience. It is an interdisciplinary field that
includes information theory, control theory, statistics, and computer science.
As it gathers and sorts more information, machine learning constantly gets
better at identifying types and forms of data with little or no hard coded
rules. For example, through pattern recognition, machine learning will increase
the accuracy of identifying specific objects or images.
Multi-Task learning is
a sub-field of Machine Learning that aims to solve multiple different tasks at
the same time, by taking advantage of the similarities between different tasks.
AI CANNOT MATCH HUMAN
REASONING
At a high level,
Machine Learning is the ability to adapt to new data independently and through
iterations. Applications learn from
previous computations and transactions and use “pattern recognition” to produce
reliable and informed results.
To better understand
the uses of Machine Learning, consider some instances where Machine Learning is
applied: the self-driving Google car; cyber fraud detection; and, online
recommendation engines from Facebook, Netflix, and Amazon. Machines can enable
all of these things by filtering useful pieces of information and piecing them
together based on patterns to get accurate results.
The process flow
depicted here represents how Machine Learning works:-
Typical results from
Machine Learning applications we either see or don’t regularly include web
search results, real-time ads on web pages and mobile devices, email spam
filtering, network intrusion detection, and pattern and image recognition. All
these are by-products of using Machine Learning to analyze massive volumes of
data.
.
Traditional programming
involves specifying a sequence of instructions that dictate to the computer
exactly what to do. Machine learning, on the other hand, is a different
programming paradigm wherein the engineer provides examples comprising what the
expected output of the program should be for a given input.
The machine
learning system then explores the set of all possible computer programs in
order to find the program that most closely generates the expected output for
the corresponding input data. Thus, with this programming paradigm, the
engineer does not need to figure out how to instruct the computer to accomplish
a task, provided they have a sufficient number of examples for the system to
identify the correct program in the search space.
For example, if you
give a machine learning program many photos of pregnancy ultrasounds together
with a list of indications to identify the gender, it’s likely to learn to
analyze ultrasound gender results in the future. ML programs compare different
information to find common patterns and come up with correct results.
.
Overall, ML is a
learning process, which the machine can achieve on its own without being
explicitly programmed to do. Machine learning involves computer learning from
experience.
AI involves a computer
executing a task a human could do. Machine learning involves the computer
learning from its experience and making decisions based on the information.
While the two approaches are different, they are often used together to achieve
many goals in different industries.
Machine Learning
techniques. While there is nothing inherently wrong with Machine Learning, the
main caveat for a successful Machine Learning outcome is sufficient and
representative historical data for the machine to learn from.
For example, if
an AI model is learning to recognize chairs and has only seen standard dining
chairs that have four legs, the model may believe that chairs are only defined
by four legs. This means if the model is shown to, say, a desk chair that has
one pillar, it will not recognize it as a chair.
Machine learning is
predicated on learning from data, so having the right quantity and quality is
essential. Security leaders should ask the following questions about their data
sources to optimize their machine learning deployments:.
Machine learning is all
about assigning a task and letting a computer decide the most efficient way to
do it. Because they don’t understand, it’s easy to end up with a computer
“learning” how to solve a different problem from what you wanted.
With machine learning,
a computer isn’t programmed to perform a specific task. Instead, it’s fed data
and evaluated on its performance at the task.
An elementary example of
machine learning is image recognition. Let’s say we want to train a computer
program to identify photos that have a dog in them. We can give a computer
millions of images, some of which have dogs in them and some don’t. The images
are labeled whether they have a dog in them or not. The computer program
“trains” itself to recognize what dogs look like based on that data set.
The interpretability of
a machine learning model is essential for gaining insight into model behavior.
Understanding the rationale behind the model's predictions would certainly help
users decide when to trust or not to trust their predictions which is
fundamental if one plans to take action based on a prediction, or when choosing
whether to deploy a new model.
Error in Machine
Learning is the difference in the expected output and the predicted output of
the model. It is a measure of how well the model performs over a given set of
data.
For binary
classification problems, there are two primary types of errors. Type 1 errors
(false positives) and Type 2 errors (false negatives). It's often possible
through model selection and tuning to increase one while decreasing the other,
and often one must choose which error type is more acceptable.
In supervised learning
applications in machine learning and statistical learning theory,
generalization error (also known as the out-of-sample error ) is a measure of
how accurately an algorithm is able to predict outcome values for previously
unseen data.
Because learning algorithms are evaluated on finite samples, the
evaluation of a learning algorithm may be sensitive to sampling error. As a
result, measurements of prediction error on the current data may not provide
much information about predictive ability on new data.
Generalization error can
be minimized by avoiding overfitting in the learning algorithm. The performance
of a machine learning algorithm is measured by plots of the generalization
error values through the learning process, which are called learning curves.
Error (statistical
error) describes the difference between a value obtained from a data collection
process and the 'true' value for the population. The greater the error, the
less representative the data are of the population. Data can be affected by two
types of error: sampling error and non-sampling error.
There are tradeoffs
between the types of errors that a machine learning practitioner must consider
and often choose to accept. For binary classification problems, there are two
primary types of errors. Type 1 errors (false positives) and Type 2 errors
(false negatives)
In statistics,
imputation is the process of replacing missing data with substituted values.
When substituting for a data point, it is known as "unit imputation";
when substituting for a component of a data point, it is known as "item
imputation".
There are three main
problems that missing data causes: missing data can introduce a substantial
amount of bias, make the handling and analysis of the data more arduous, and
create reductions in efficiency.
Because
missing data can create problems for analyzing data, imputation is seen as a
way to avoid pitfalls involved with listwise deletion of cases that have
missing values. That is to say, when one or more values are missing for a case,
most statistical packages default to discarding any case that has a missing
value, which may introduce bias or affect the representativeness of the
results.
Imputation preserves all cases by replacing missing data with an
estimated value based on other available information. Once all missing values
have been imputed, the data set can then be analysed using standard techniques
for complete data
Feature Scaling or
Standardization: It is a step of Data Pre Processing which is applied to independent
variables or features of data. It basically helps to normalise the data within
a particular range. Sometimes, it also helps in speeding up the calculations in
an algorithm
In machine learning, a
hyperparameter is a parameter whose value is set before the learning process
begins. ... Given these hyperparameters, the training algorithm learns the
parameters from the data
By contrast, the values
of other parameters are derived via training.
Hyperparameters can be
classified as model hyperparameters, that cannot be inferred while fitting the
machine to the training set because they refer to the model selection task, or
algorithm hyperparameters, that in principle have no influence on the
performance of the model but affect the speed and quality of the learning
process. An example of the first type is the topology and size of a neural
network. An example of the second type is learning rate or mini-batch size.
Model selection is the
process of choosing between different machine learning approaches - e.g. SVM,
logistic regression, etc - or choosing between different hyperparameters or
sets of features for the same machine learning approach - e.g. deciding between
the polynomial degrees/complexities for linear regression..
Model selection is the task of selecting a
statistical model from a set of candidate models, given data. In the simplest
cases, a pre-existing set of data is considered. However, the task can also
involve the design of experiments such that the data collected is well-suited
to the problem of model selection.
Model selection is the
process of choosing one among many candidate models for a predictive modeling
problem.
There may be many competing
concerns when performing model selection beyond model performance, such as
complexity, maintainability, and available resources.
The two main classes of
model selection techniques are probabilistic measures and resampling methods.
A “good enough” model
may refer to many things and is specific to your project, such as:--
A model that meets the
requirements and constraints of project stakeholders.
A model that is
sufficiently skillful given the time and resources available.
A model that is
skillful as compared to naive models.
A model that is
skillful relative to other tested models.
A model that is
skillful relative to the state-of-the-art.
Some algorithms require
specialized data preparation in order to best expose the structure of the
problem to the learning algorithm. Therefore, we must go one step further and
consider model selection as the process of selecting among model development
pipelines.
Each pipeline may take
in the same raw training dataset and outputs a model that can be evaluated in
the same manner but may require different or overlapping computational steps,
such as:--
Data filtering.
Data transformation.
Feature selection.
Feature engineering.
Random errors most often
result from limitations in the equipment or techniques used to make a
measurement.
Noise is a distortion
in data, that is unwanted by the perceiver of data. Noisy data is data with a
large amount of additional meaningless information in it called noise. This
includes data corruption and the term is often used as a synonym for corrupt
data. It also includes any data that a user system cannot understand and
interpreted correctly.
Noisy data is data that
is corrupted, or distorted, or has a low Signal-to-Noise Ratio. Improper
procedures (or improperly-documented procedures) to subtract out the noise in
data can lead to a false sense of accuracy or false conclusions.
Data = true signal +
noise
Noise often causes the
algorithms to miss out patterns in the data.
Data filtering is the
task of reducing the content of noise or errors from measured process data. It
is an important task because measurement noise masks the important features in
the data and limits their usefulness in practice.
Noisy data is data with
a large amount of additional meaningless information in it called noise This includes data corruption and the term is
often used as a synonym for corrupt data. It also includes any data that a user system
cannot understand and interpreted correctly.
Many systems, for example, cannot use
unstructured text. Noisy data can adversely affect the results of any data
analysis and skew conclusions if not handled properly. Statistical analysis is
sometimes used to weed the noise out of noisy data
Any data that has been
received, stored, or changed in such a manner that it cannot be read or used by
the program that originally created it can be described as noisy. Noisy data
unnecessarily increases the amount of storage space required and can also
adversely affect the results of any data mining analysis.
Benefits of identifying
& treating noise in data:---
enables the DS
algorithm to train faster.
reduces the complexity
of a model and makes it easier to interpret
improves the accuracy
of a model if the right subset is chosen
reduces overfitting
The common method for
the removal of noise is optimal linear filtering method, and some algorithms in
this method are Wiener filtering, Kalman filtering and spectral subtraction
technique. ... All of the above techniques show an increased Signal to Noise
Ratio (SNR) after processing, as seen in the simulation results.
Even though many
differences exist between AI and ML, they are closely connected. AI and ML are often viewed as the body and the
brain. The body collects information, the brain processes it. The same is with
AI, which accumulates information while ML processes it.
When people use these
two terms interchangeably, they fail to have a deeper understanding of the
concepts while intuitively understanding how closely related they are.
We understand about
cause and effect.. All ML could do was
follow the pattern. When the pattern changed, it was helpless.
The data that is
obtained from the real world is not ideal or noise-free. It contains a lot of
noise, which needs to be filtered out before applying the Machine Learning
Algorithms.
Classification: A lot
of classes will be misclassified in the training set as well as the validation
set. On data visualization, the graph would indicate that if there was a more
complex model, more classes would have been correctly classified.
Regression: The final
“Best Fit” line will fail to fit the data points in an effective manner. On
visualization, it would clearly seem that a more complex curve can fit the data
better.
Train a more complex
model Obtain more features: If the data
set lacks enough features to get a clear inference, then Feature Engineering or
collecting more features will help fit the data better.
Decrease
Regularization: Regularization is the process that helps Generalize the model
by avoiding overfitting. However, if the model is learning less or underfitting,
then it is better to decrease or completely remove Regularization techniques so
that the model can learn better.
New Model Architecture:
Finally, if none of the above approaches work, then a new model can be used,
which may provide better results.
Remove features: As a
contrast to the steps to avoid underfitting, if the number of features is too
many, then the model tends to overfit. Hence, reducing the number of
unnecessary or irrelevant features often leads to a better and more generalized
model. Deep Learning models are usually not affected by this.
There are several
methods to calculate error in Machine Learning. One of the most commonly used
terminologies to represent the error is called the Loss/Cost Function. It Mean
Squared Error formula definition
The necessity of
minimization of Errors: As it is obvious from the previously shown graphs, the
higher the error, the worse the model performs. Hence, the error of the
prediction of a model can be considered as a performance measure: Lower the
error of a model, the better it performs.
In addition to that, a
model judges its own performance and trains itself based on the error created
between its own output and the expected output. The primary target of the model
is to minimize the error so as to get the best parameters that would fit the
data perfectly.
An electronic health
record (EHR) is a digital version of a patient chart, an inclusive snapshot of
the patient’s medical history. It contains input from all the practitioners
that are involved in the client’s care, offering a comprehensive view of the
client’s health and treatment history.
EHRs are real-time,
patient-centered records that make information available instantly and securely
to authorized users. ... Allow access to evidence-based tools that providers
can use to make decisions about a patient's care
Purpose of HER ?
health information and
data.
result management.
order management.
decision support.
electronic
communication and connectivity.
patient support.
administrative
processes and reporting.
reporting and
population health.
An electronic
recordkeeping system (ERKS), also known as an electronic records management
system in some jurisdictions, is an information/computer system with the
necessary records management capabilities designed to electronically collect,
organise, classify and control the creation, storage, retrieval, distribution
EMRs are not designed
to be shared outside the individual practice.
Using Electronic Health
Records (EHRs), all the history of patient’s medical data can be recorded and
stored appropriately in a centralized system. In olden days and even now in
some healthcare organizations health records of the patients are saved on
paper. However, technical advancements have changed this scenario and the
health records can be saved in digital formats.
This enhances the
quality of medical services and care provided to the patients.
Healthcare
organizations like hospitals, clinics and even individual medical practices
have been taking advantage of EHRs in several ways. They are very useful not
only to the practitioners but also to the patients.
Top advantages of
Electronic Health Records
• Keeping a record of
up-to-date and accurate data about the patients in digital format
• Ensuring fast access
to the medical data of patients for efficient and coordinated care
• Sharing the
electronic medical data in a safe and secure manner with patients or other
hospital staff
• Helping proper
documentation of all the patient data
• Decreasing paperwork
and setting the hospital staff free for other important tasks
• Enabling more
effective diagnosis of patients with reduced medical errors and safer
operations; thus improving the health of patients
• Boosting interaction
and communication between patients and care providers
• Ensuring that the
patient data remains safe and secure
• Enabling the patients
to review their medical history, take necessary precautions and be alert about
their treatments.
• Helping the care
providers to enhance their productivity and efficiency while meeting their
business goals
• Integrating patient
data from different resources for better clinical decision-making
Electronic Health Records
ensure that the processes become faster because the entries are not done
manually. EHRs increase transparency so that doctors can immediately access
previous health issues of the patients and provide better treatment.
Providing remote
treatments is possible with EHRs as they can be easily paired with the
healthcare management system or health apps or smartphones. It forms a powerful
connection and important patient data can be accessed from anywhere. As a
result, doctors can follow-up with patients and keep in touch. This facility is
extremely helpful in case of an emergency. One more benefit that EHRs provide
is improving inventory management of drugs. Recording the data alerts of the
concerned person for increasing the drug supply in a timely manner.
Electronic health
records are designed to be shared with other providers and authorized users may
instantly access a patient’s EHR from across different healthcare providers.
As a rule, EHRs contain
the following data:--
Patient’s demographic,
billing, and insurance information;
Physical history and
physicians’ orders;
Medication allergy
information;
Nursing assessments,
notes, and graphics of vital signs;
Laboratory and radiology
results;
Trending labs, vital
signs, results, and activities pages for easy reference
Links to important
clinical information and support
Reports for quality and
safety personnel
An electronic medical
record (EMR) is a digital version of a patient’s chart used by a single
practice: a physician, nurse practitioner, specialist, dentist, surgeon or
clinic. In its essence, it is digitalized chart that healthcare facilities
previously used to keep track of treatments, medications, changes in condition,
etc. These medical documents are private and confidential and are not usually
shared outside the medical practice where they originated.
Electronic medical
records make it easier to track data over time and to monitor the client’s
health more reliably, which leads to better long-term care.
Elements of EMRs:--
EMRs usually contain
the following information about the client:
Medical history,
physicals, notes by providers, and consults from other physicians
Medications and
allergies, including immunization history
Alerts to the office
and the patients for preventative tests and/or procedures, e.g. lab tests to
follow-up colonoscopies
An electronic personal
health record (PHR) provides an electronic record of the client’s
health-related information and is managed by the client. It is a universally
accessible and comprehensible tool for managing health information, promoting
health maintenance, and assisting with chronic disease management.
A PHR may
contain information from multiple sources such as physicians, home monitoring
devices, wearables, and other data furnished by the client. With PHRs, each
client can view and control their medical data in a secure setting and share it
with other parties.
However, it is not a
legal record unless so defined and is subject to various legal limitations.
Besides, though PHRs can provide important insights and give a fuller view of
the client’s health and lifestyle, its inaccuracy and lack of structure lead to
limited use of it in the clinical and medical studies.
Digital medical records
may offer significant advantages both to patients and healthcare providers:--
Medical errors are
reduced and healthcare is improved thanks to accurate and up-to-date
information;
Patient charts are more
complete and clear — without the need to decipher illegible scribbles;
Information sharing
reduces duplicate testing;
Improved information
access makes prescribing medication safer and more reliable;Promoting patient
participation can encourage healthier lifestyles;
More complete
information improves diagnostics;
Facilitating
communication between the practitioner and client;
Enabling secure sharing
of client’s medical information among multiple providers;
Increasing
administrative efficiency in scheduling, billing, and collections, resulting in
lower business-related costs for the organization
Improving EHR/EMR
design and handling requires mapping complaints to specific EHR/EMR features
and design decisions, which is not always a straightforward process.
Over the
last year, more informatics researchers and software vendors have turned their
attention to EHR/EMR systems, and more of them have started to rely on AI to
give deeper insights into the design and handling of the electronic records.
The free structure of
clinical notes is notoriously difficult to read and categorize with
straightforward algorithms. AI and natural language processing, however, can
handle the heterogeneity of unstructured or semistructured data making them a
useful part of EHRs.
Flatiron Health’s (
owned by Roche ) human “abstractors” review provider uses AI to recognize key
terms and uncover insights from unstructured documents. Amazon Web Services
recently announced a cloud-based service that uses AI to extract and index data
from clinical notes.
As healthcare costs
grow and new methods are tested, home devices such as glucometers or blood
pressure cuffs that automatically measure and send the results to the EHR are
gaining momentum.
Moreover, data streams from the Internet of Things, including
home monitors, wearables, and bedside medical devices, can auto-populate notes
and provide data for predictive analytics. Some companies have even more
advanced devices such as the smart t-shirts of Hexoskin, which can measure
several cardiovascular metrics and are being used in clinical studies and
at-home disease monitoring. This means
Besides, electronic
patient-reported outcomes and personal health records are also being leveraged
more and more as providers emphasize the importance of patient-centered care
and self disease management; all of these data sources are most useful when
they can be integrated into the existing EHR.
Hexoskin is an open
data smart shirt for monitoring EKG, heart rate, heart rate variability,
breathing rate, breathing volume, actigraphy and other activity measurements
like step counting and cadence.
Hexoskin launched in
2013 the first washable smart shirts that capture cardiac, respiratory, and
activity body metrics.
As you sleep at night,
you cycle through periods of REM and non-REM sleep. Non-REM sleep occurs in
three stages, and then you will enter REM sleep.
Non-REM Sleep
According to WebMD, the
three phases of non-REM sleep are:--
Phase 1: As you first
drift off to sleep you are entering phase 1 of non-REM sleep. You are relaxed,
but may stir or awake easily for about five to ten minutes.
Phase 2: Phase 2
prepares your body for deep sleep. Your heart rate and body temperature will
lower as you begin to sleep lightly.
Phase 3: Deep sleep
begins in phase 3, and you will not be easily woken up as your body works to
repair tissue and bones and strengthen your immune system.
REM Sleep
REM stands for Rapid
Eye Movement. During this cycle of your sleep, your eyes will move and dart
quickly beneath your eyelids. During REM sleep, your brain activity increases,
your pulse quickens, and you have dreams. REM sleep first takes place after
you’ve been sleeping for around 90 minutes. The first cycle usually lasts about
10 minutes, and each cycle time will increase to as long as one hour in the
last phase before you awake.
The importance of REM
sleep, in particular, is attributed to the fact that during this phase of
sleep, your brain exercises important neural connections which are key to
mental and overall well-being and health.
REM Sleep Behavior
Disorder is a sleep disorder that causes you to physically act out vivid dreams
through erratic and violent arm and leg movements. This disorder can come about
suddenly, and impact your sleep several times a night.
During REM sleep, your
body usually remains motionless, but the symptoms of REM Sleep Behavior
Disorder include:--
Movements such as
flailing, kicking, or punching in response to especially vivid or frightening
dreams.
Noises such as yelling,
talking, or crying while you are sleeping.
Ability to vividly
remember the dream you were experiencing if you are woken up.
AI vs ML
The key difference
between the two concepts involve---
• Goal – The goal of AI is to increase
the chances of success. Meanwhile, ML’s aim is to improve accuracy without
caring for success.
• Nature- AI is a computer program
doing smart work. ML is the way for the computer program to learn from
experience.
• Future – The future goal of AI is to
stimulate intelligence for solving highly complex programs. The ML’s goal is to
keep learning from data to maximize the performance.
• Approach – AI involves
decision-making. ML allows the computer to learn new things from the available
information.
• Solutions – AI looks for optimal
solutions. ML looks for the only solution.
Reasoning is the
process of using existing knowledge to draw conclusions, make predictions, or
construct explanations.
The following are a few
major types of reasoning.:---
Deductive Reasoning.
Inductive Reasoning.
Abductive Reasoning.
Backward Induction.
Critical Thinking.
Counterfactual
Thinking.
Intuition.
In theoretical
research, deduction, induction and abduction can be also known as modes of
argumentation:
Deduction: Data finding
first to support an argument.
Induction: From
argument finding to explanation of data;
Abduction: Supplying a
permit or license that enables or allows us to move from data to argument.
The difference between
abductive reasoning and inductive reasoning is a subtle one; both use evidence
to form guesses that are likely, but not guaranteed, to be true. However,
abductive reasoning looks for cause-and-effect relationships, while induction
seeks to determine general rules
Abductive reasoning is a form of
logical inference which starts with an observation or set of observations then
seeks to find the simplest and most likely explanation for the observations. It is a process
of research in which the logic of creativity/justification is given more
importance than the logic of justification.
It is more like a process rather than a conclusion/outcome in hypothesis
formation.
Abductive reasoning is
an extension of deductive reasoning, but in abductive reasoning, the premises
do not guarantee the conclusion.
Example:-
Implication: Cricket
ground is wet if it is raining
Axiom: Cricket ground
is wet.
Conclusion It is
raining.
Abductive reasoning
typically begins with an incomplete set of observations and proceeds to the
likeliest possible explanation for the set. It yields the kind
of daily decision-making that does its best with the information at hand, which
often is incomplete. It is the
opposite of deductive reasoning.
Inductive reasoning makes broad
generalizations from specific observations. Basically, there is data, then
conclusions are drawn from the data. ... An example of inductive logic is,
"The coin I pulled from the bag is a penny"
Inductive approach is
common but less effective when compared to deductive. In this approach you
research the topic first and then argument comes up which is based on your
research. This is also called reactive writing.
Inductive reasoning
begins with observations that are specific and limited in scope, and proceeds
to a generalized conclusion that is likely, but not certain, in light of
accumulated evidence. You could say that inductive reasoning moves from the
specific to the general.
Inductive reasoning arrives at a conclusion using limited sets of facts by
the process of generalization. It starts with the series of specific facts or
data and reaches to a general statement or conclusion.
Inductive reasoning is
a type of propositional logic, which is also known as cause-effect reasoning or
bottom-up reasoning. We use historical data or various premises to generate a generic rule, for
which premises support the conclusion. Premises provide probable supports to the conclusion, so the truth of premises
does not guarantee the truth of the conclusion.
Example:--
Premise: All of the
pigeons we have seen in the zoo are white.
Conclusion: Therefore,
we can expect all the pigeons to be white.
Inductive research
works the other way, from specific to broader generalizations and theories. This
type of research sometimes informally called a bottom up research. Conclusions are most likely based on
premises. This type of research commonly
involves some degree of uncertainty. Observations likely to be used for it. Inferring ‘effects’ from ‘causes’.. There are usually two variables in the
research which are X and Y.
Inductive research
starts with the findings which are very limited and specific in scope, and then
continues to an outcome or conclusion which is generalized but not very certain
in the light of collected data. In inductive approach the premises are there to
support the result or conclusion but they do no ensure it. Therefore the
conclusion is known as hypothesis.
Deductive reasoning is
when you move from a general statement to a more specific statement through a
logical thought process. ... One of the examples of deductive reasoning is from
Aristotle: All men or mortal. Socrates is a man. Therefore, Socrates is mortal
Deductive reasoning
starts with the assertion of a general rule and proceeds from there to a
guaranteed specific conclusion. It is
about deducing new information from logically related known information. It is
the form of valid reasoning, which means the argument's conclusion must be true
when the premises are true.
Deductive reasoning is
a type of propositional logic in AI, and it requires various rules and facts. It
is sometimes referred to as top-down reasoning, and contradictory to inductive
reasoning. The truth of the premises guarantees the truth of the conclusion.
Deductive reasoning uses
given information, premises or accepted general rules to reach a proven
conclusion. On the other hand, inductive logic or reasoning involves making
generalizations based upon behavior observed in specific cases.
Example:--
Premise-1: All the
human eats veggies
Premise-2: Suresh is
human.
Conclusion: Suresh eats
veggies.
Deductive research goes
from theories to data. Task is to find theories which are very well-known or
generally defined and then apply them to a specific phenomenon. The collected
data will then either approve or disapprove these theories which you have tried
to apply; both of these outcomes will be then valuable.
Quantitative research
is most commonly linked or associated with Deductive approach.
In this approach you
highlight or outline an argument based on your existing knowledge about the
selected subject or topic, then research on it to fill in the gaps. This is
also called active reading.
The difference between
abductive reasoning and inductive reasoning is a subtle one; both use evidence
to form guesses that are likely, but not guaranteed, to be true. However,
abductive reasoning looks for cause-and-effect relationships, while induction
seeks to determine general rules.
It suggests that the
best way to distinguish between induction and abduction is this: both are
ampliative, meaning that the conclusion goes beyond what is (logically) contained
in the premises (which is why they are non-necessary inferences), but in
abduction there is an implicit or explicit appeal to explanatory .
Both induction and abduction are ampliative, which means that the
conclusion goes totally beyond what is basically contained in the researched
premises. But in abduction there is an understood or clear appeal to
descriptive reflections, whereas it’s not the same in induction. In induction
there is only an appeal to experiential statistics. (“Only” is emphasized
because there may also in abduction).
Deduction-- In writing,
argument is used in an attempt to convince the reader of the truth or falsity
of some proposal or thesis. Two of the methods used are induction and
deduction. Induction is a process of reasoning (arguing) which infers a general
conclusion based.
Reasoning is the
process of using existing knowledge to draw conclusions, make predictions, or
construct explanations. Three methods of reasoning are the deductive,
inductive, and abductive approaches. Deductive reasoning: conclusion guaranteed
Analytics – encompasses
the discovery, interpretation, and communication of meaningful patterns in
data. It relies on the simultaneous application of statistics, computer
programming and operations research to quantify performance and is particularly
valuable in areas with large amounts of recorded information. The goal of this
exercise is to guide decision-making based on the business context. The
analytics flow comprises descriptive, diagnostic, predictive analytics and
eventually prescriptive steps.
In monotonic reasoning,
once the conclusion is taken, then it will remain the same even if we add some
other information to existing information in our knowledge base. In monotonic
reasoning, adding knowledge does not decrease the set of prepositions that can
be derived.
Monotonic learning is
when an agent may not learn the knowledge that contradicts with what it already
known or exists, it will not replace a statement with its negation. Thus, the
knowledge base may only grow with new facts in a monotonic fashion.
The advantages of
monotonic learning are:--
1.greatly simplified
truth-maintenance
2.greater choice in
learning strategies
In monotonic reasoning,
once the conclusion is taken, then it will remain the same even if we add some
other information to existing information in our knowledge base. In monotonic
reasoning, adding knowledge does not decrease the set of prepositions that can
be derived.
To solve monotonic
problems, we can derive the valid conclusion from the available facts only, and
it will not be affected by new facts.
Monotonic reasoning is
not useful for the real-time systems, as in real time, facts get changed, so we
cannot use monotonic reasoning. It is used in conventional reasoning systems, and a logic-based system is monotonic.
Any theorem proving is
an example of monotonic reasoning.
Example:--
Earth revolves around the
Sun.
It is a true fact, and
it cannot be changed even if we add another sentence in knowledge base like,
"The moon revolves around the earth" Or "Earth is not
round," etc.
Advantages of Monotonic
Reasoning:--
In monotonic reasoning,
each old proof will always remain valid.
If we deduce some facts
from available facts, then it will remain valid for always.
Disadvantages of
Monotonic Reasoning:--
We cannot represent the
real world scenarios using Monotonic reasoning.
Hypothesis knowledge
cannot be expressed with monotonic reasoning, which means facts should be true.
Since we can only
derive conclusions from the old proofs, so new knowledge from the real world
cannot be added.
The term “non-monotonic
logic” covers a family of formal
frameworks devised to capture and represent defeasible inference. Reasoners
draw conclusions defeasibly when they reserve the right to retract them in the
light of further information. Defeasible
reasoning is dynamic in that it allows for a retraction of inferences.
A non-monotonic logic
is a formal logic whose consequence relation is not monotonic. In other words,
non-monotonic logics are devised to capture and represent defeasible inferences
(cf. defeasible reasoning), i.e., a kind of inference in which reasoners draw
tentative conclusions, enabling reasoners to retract their conclusion(s) based
on further evidence.
Most studied formal logics have a monotonic
consequence relation, meaning that adding a formula to a theory never produces
a reduction of its set of consequences. Intuitively, monotonicity indicates
that learning a new piece of knowledge cannot reduce the set of what is known.
A monotonic logic cannot handle various reasoning tasks such as reasoning by
default (consequences may be derived only because of lack of evidence of the
contrary), abductive reasoning (consequences are only deduced as most likely
explanations), some important approaches to reasoning about knowledge (the
ignorance of a consequence must be retracted when the consequence becomes
known), and similarly, belief revision (new knowledge may contradict old
beliefs).
In Non-monotonic
reasoning, some conclusions may be invalidated if we add some more information
to our knowledge base.
Logic will be said as
non-monotonic if some conclusions can be invalidated by adding more knowledge
into our knowledge base.
Non-monotonic reasoning
deals with incomplete and uncertain models.
"Human perceptions
for various things in daily life, "is a general example of non-monotonic
reasoning.
Example: Let suppose
the knowledge base contains the following knowledge:
Birds can fly
Penguins cannot fly
Pitty is a bird
So from the above
sentences, we can conclude that Pitty can fly.
However, if we add one
another sentence into knowledge base "Pitty is a penguin", which
concludes "Pitty cannot fly", so it invalidates the above conclusion.
Advantages of
Non-monotonic reasoning:--
For real-world systems
such as Robot navigation, we can use non-monotonic reasoning.
In Non-monotonic
reasoning, we can choose probabilistic facts or can make assumptions.
Disadvantages of
Non-monotonic Reasoning:--
In non-monotonic
reasoning, the old facts may be invalidated by adding new sentences.
It cannot be used for
theorem proving.
Abductive reasoning is
the process of deriving the most likely explanations of the known facts. An
abductive logic should not be monotonic because the most likely explanations
are not necessarily correct.
For example, the most likely explanation for
seeing wet grass is that it rained; however, this explanation has to be
retracted when learning that the real cause of the grass being wet was a
sprinkler. Since the old explanation (it rained) is retracted because of the
addition of a piece of knowledge (a sprinkler was active), any logic that
models explanations is non-monotonic.
If a logic includes
formulae that mean that something is not known, this logic should not be
monotonic. Indeed, learning something that was previously not known leads to
the removal of the formula specifying that this piece of knowledge is not
known. This second change (a removal caused by an addition) violates the condition
of monotonicity. A logic for reasoning about knowledge is the autoepistemic
logic.
Common Sense Reasoning--
Common sense reasoning
is an informal form of reasoning, which can be gained through experiences. It simulates the human ability to make presumptions about events which occurs on
every day.
It relies on good
judgment rather than exact logic and operates on heuristic knowledge and
heuristic rules.
Example:---
One person can be at
one place at a time.
If I put my hand in a
fire, then it will burn.
The above two
statements are the examples of common sense reasoning which a human mind can easily
understand and assume.
The
hypothetico-deductive model or method is a proposed description of the
scientific method.
According to it, scientific inquiry proceeds by formulating
a hypothesis in a form that can be falsifiable, using a test on observable data
where the outcome is not yet known. A test outcome that could have and does run
contrary to predictions of the hypothesis is taken as a falsification of the
hypothesis.
A test outcome that could have, but does not run contrary to the
hypothesis corroborates the theory. It is then proposed to compare the
explanatory value of competing hypotheses by testing how stringently they are
corroborated by their predictions.
###### SUBJECT--- SUPEREME COURT ALLOWS CRYPTO CURRENCY TRADING #########
WHY IS SUPREME COURT PLAYING GOD?...
WE THE PEOPLE ASK CJI BOBDE...
WHY IS CHANDRACHUD AND NARIMAN LOVED BY THE JEWISH DEEP STATE ?..
WE KNOW THE TRAITOR JUDGES IN FOREIGN PAYROLL..
WHY DOES PM MODI AND LAW MINISTER PRASAD GIVE SO MUCH OF LEEWAY TO THESE TWO "LIBERAL JUDGES" WHO KICKED BHARATMATA INTO THE KOSHER ADULTERY/ HOMOSEXUAL MANDI?...
WE THE PEOPLE DO NOT WANT CHANDRACUD AS INDIAs CJI.. THE DEEP STATE HAS KEPT HIM IN POLE POSITION.. WE KNOW WHY !!
SUPREME COURT HAS NO POWERS TO INTERFERE IN GOVTS FINANCIAL DECISIONS ..
DESH DROHI INDIANS ARE USING BITCOIN FOR MONEY LAUNDERING , PEDOPHILIA AND FUNDING TERRORISTS AND RUNNING DRUGS..
BITCOIN IS NOT DECENTRALIZED. … KOSHER MINERS ARE THE DE FACTO CENTRAL AUTHORITY IN BITCOIN EXCHANGES….. THEY’RE ACTUALLY CENTRALLY CONTROLLED BY A MAFIA POOL OF KOSHER MINERS, WHO CAN BASICALLY REWRITE BLOCKCHAIN HISTORY AT WILL. …
WHY IS SUPREME COURT PLAYING GOD?...
WE THE PEOPLE ASK CJI BOBDE...
WHY IS CHANDRACHUD AND NARIMAN LOVED BY THE JEWISH DEEP STATE ?..
WE KNOW THE TRAITOR JUDGES IN FOREIGN PAYROLL..
WHY DOES PM MODI AND LAW MINISTER PRASAD GIVE SO MUCH OF LEEWAY TO THESE TWO "LIBERAL JUDGES" WHO KICKED BHARATMATA INTO THE KOSHER ADULTERY/ HOMOSEXUAL MANDI?...
WE THE PEOPLE DO NOT WANT CHANDRACUD AS INDIAs CJI.. THE DEEP STATE HAS KEPT HIM IN POLE POSITION.. WE KNOW WHY !!
SUPREME COURT HAS NO POWERS TO INTERFERE IN GOVTS FINANCIAL DECISIONS ..
DESH DROHI INDIANS ARE USING BITCOIN FOR MONEY LAUNDERING , PEDOPHILIA AND FUNDING TERRORISTS AND RUNNING DRUGS..
BITCOIN IS NOT DECENTRALIZED. … KOSHER MINERS ARE THE DE FACTO CENTRAL AUTHORITY IN BITCOIN EXCHANGES….. THEY’RE ACTUALLY CENTRALLY CONTROLLED BY A MAFIA POOL OF KOSHER MINERS, WHO CAN BASICALLY REWRITE BLOCKCHAIN HISTORY AT WILL. …
IN 10 YEARS OF ITS EXISTENCE ALL THAT BLOCKCHAIN HAS ACHIEVED IS TO REGULARIZE GRABBED LAND IN ISRAEL AND GEORGIA BY WHITE JEWS. …
CHANDRABABU NAIDU TRIED TO USE BITCOIN/ BLOCKCHAIN TO REGULARIZE GRABBED LAND AT AMARAVATI….
OUR PM AND LAW MINISTER ARE USELESS ..
OUR JUDICIARY IS THE WORST ON THE PLANET… TRAITORS WHO CREATED THE NAXAL RED CORRIDOR AND CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS ..
SINCE 1947, RBI HAS BEEN CONTROLLED BY JEW ROTHSCHILD.. ARE WE A BANANA REPUBLIC?...
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
READ ALL 18 PARTS OF THE POST BELOW—
http://ajitvadakayil.blogspot.com/2018/04/blockchain-bitcoin-must-be-kicked-out.html
WE WATCH..
capt ajit vadakayil
..'
Ransomware is a form malware that, when downloaded to a
device, scrambles or deletes all data until a ransom is paid to restore it.
In
2020 a new organization will be hit by a ransomware attack every 13.2 seconds. It has the potential to cripple networks and
cause catastrophic harm to infrastructure.
Ransomware begins with
malicious software being downloaded onto an endpoint device, like a desktop
computer, laptop or smartphone. This
usually happens because of user error and ignorance of security risks.
One common method of
distributing malware is through phishing attacks. This involves an attacker
attaching an infected document or URL to an email, while disguising it as being
legitimate to trick users into opening it, which will install the malware on their
device.
Another popular method
of spreading ransomware is using a ‘trojan horse’ virus style. This involves
disguising ransomware as legitimate software online, and then infecting devices
after users install this software.
Ransomware typically
works very quickly. In seconds, the malicious software will take over critical
process on the device, and search for files to be encrypted, meaning all of the
data within them is scrambled. The ransomware will likely delete any files it
cannot encrypt.
The ransomware will
then infect any other hard-drives or USB devices connected to the infected host
machine. Any new devices or files added to the infected device will also be
encrypted after this point. Then, the virus will begin sending out signals to
all of the other devices on the network, to attempt to infect them as well.
This whole process
happens extremely quickly, and in just a few minutes the device will display a
message that looks like this:
As you can see, it’s a
‘cyber blackmail’ note, which tells users that their files are locked, and that
if a payment is not made, they will be deleted.
The traitor judges of India have made crypto currency
legal in india..
One of the most famous
examples of ransomware is the WannaCry ransomware attack. WannaCry was a piece
of malware that infected over 242,000 computers across 155 companies within a
single day.
It encrypted all files it found on a device and requested users pay
$320 worth of bitcoin payments to restore them.
Payments will be demanded in bitcoin, as
this payment method cannot be traced, and there is often a countdown, which
puts pressure on companies to act quickly in making payments to attackers.
There are different types of ransomware. Some
threaten to release the encrypted data to the public, which may be damaging to
companies who need to protect customer or business data.
Ransomware can be
hugely damaging to businesses, causing loss of productivity and often financial
losses.
Most obviously there is the loss
of files and data, which may represent hundreds of hours of work, or customer
data that is critical to the smooth running of your organization.
If ISRO or
DRDO is affected we know the grave implications..
Our 75 year old brain dead NSA
Ajit Doval must be put out to pasture…
By targeting people
with phishing attacks, attackers can bypass traditional security technologies
with ransomware. Email is a weak point in many businesses’ security
infrastructure, and hackers can exploit this by using phishing emails to trick
users into opening malicious files and attachments. By using trojan horse
viruses, hackers also target human error by causing them to inadvertently to
download malicious files.
CAN WE EVER EXPECT ILLITERATE CHAIWAALA MODI TO TALK ABOUT
RANSOMWARE INSTEAD OF GANDHI AND BR AMBEDKAR IN HIS PATHETIC NAY BULLSHIT MANN
KE BAATH ( MEANT FOR MILKING VOTES ? )
As ransomware is
commonly delivered through email, email security is crucial to stop ransomware.
Secure Email gateway technologies filter email communications with URL defences
and attachment sandboxing to identify threats and block them from being
delivered to users. This can stop ransomware from arriving on endpoint devices
and block users from inadvertently installing ransomware onto their device.
If a homosexual
gets an “I LOVE YOU” message by email
attachment , he is bound to open it.
Ransomware is also
commonly delivered through phishing. Secure email gateways can block phishing
attacks, but there is also Post-Delivery Protection technologies, which use
machine learning and AI algorithms to detect phishing attacks, and display
warning banners within emails to alert them that an email may be suspicious.
This helps users to avoid phishing emails which may contain a ransomware
attack.
DNS Web filtering
solutions stop users from visiting dangerous websites and downloading malicious
files. This helps to block viruses that spread ransomware from being downloaded
from the internet, including trojan horse viruses that disguise malware as
legitimate business software. DNS filtering – or Domain Name System filtering
to give it its full title – is a technique of blocking access to certain
websites, webpages, or IP addresses. DNS is what allows easy to remember domain
names to be used – such as Wikipedia.com – rather than typing in very difficult
to remember IP addresses – such as 198.35.26.96. DNS maps IP addresses to
domain names.
DNS filters can also
block malicious third party adverts. Web filters should be configured to
aggressively block threats, and to stop users from visiting dangerous or
unknown domains. Utilizing Isolation can also be an important tool to stop
ransomware downloads. Isolation technologies completely remove threats away
from users by isolating browsing activity in secure servers and displaying a
safe render to users. This can help to prevent ransomware as any malicious
software is executed in the secure container and does not affect the users
themselves. The main benefit of Isolation is that it doesn’t impact the user’s
experience whatsoever, delivering high security efficacy with a seamless
browsing experience.
When a domain is
purchased from a domain register and that domain is hosted, it is assigned a
unique IP address that allows the site to be located. When you attempt to
access a website, a DNS query will be performed. Your DNS server will look up
the IP address of the domain/webpage, which will allow a connection to be made
between the browser and the server where the website is hosted. The webpage
will then be loaded.
So how does DNS web
filtering work? With DNS filtering in place, rather than the DNS server
returning the IP address if the website exists, the request will be subjected
to certain controls. DNS blocking occurs if a particular webpage or IP address
is known to be malicious via blacklists or is determined to be potentially
malicious by the web filter. Instead of being connected to the website the user
was attempting to access, the user is instead directed to a local IP address
that displays a block page explaining why the site cannot be accessed.
This control could be
applied at the router level, via your ISP, or a third party – a web filtering
service provider. In the case of the latter, the user – a business for instance
– would point their DNS to the service provider. That service provider
maintains a blacklist of malicious webpages/IP addresses. If a site is known to
be malicious, access to malicious sites will be blocked.
Since the service
provider will also categorize webpages, the DNS filter can also be used to
block access to certain categories of webpages – pornography, child
pornography, file sharing websites, gambling, and gaming sites for instance.
Provided a business creates an acceptable usage policy (AUP)and sets that
policy with the service provider, the AUP will be enforced. Since DNS filtering
is low-latency, there will be next to no delay in accessing safe websites that
do not breach an organization’s acceptable Internet usage policies.
Will a DNS Filter Block
All Malicious Websites?
Unfortunately, no DNS filtering
solution will block all malicious websites, as in order to do so, a webpage
must first be determined to be malicious. If a cybercriminal sets up a
brand-new phishing webpage, there will be a delay between the page being
created and it being checked and added to a blocklist. However, a DNS web
filter will block the majority of malicious websites.
Can DNS Filtering be
Bypassed?
The short answer is
yes. Proxy servers and anonymizer sites could be used to mask traffic and
bypass the DNS filter unless the chosen solution also blocks access to these
anonymizer sites. An end user could also manually change their DNS settings
locally unless they have been locked down. Determined individuals may be able
to find a way to bypass DNS filtering, but for most end users, a DNS filter
will block any attempt to access forbidden or harmful website content.
No single cybersecurity
solution will allow you to block 100% of malicious websites or all NSFW
websites, but DNS filtering should certainly be part of your cybersecurity
defences as it will allow the majority of malicious sites and malware to be
blocked.
Security Awareness
Training solutions typically also provide phishing simulation technologies.
This means admins can create customized simulated phishing emails, and send
them out to employees to test how effectively they can detect attacks. Phishing
simulation is an ideal way to help view your security efficacy across the
organization, and is a useful tool to help identify users that need more
security training to help stop the spread of ransomware.
If a ransomware attack
succeeds and your data is compromised, the best way to protect your
organization is to be able to restore the data you need quickly and minimize
the downtime. The best way to protect data is to ensure that it is backed up in
multiple places, including in your main storage area, on local disks, and in a
cloud continuity service. In the event of a ransomware attack, backing up data
means you will be able to mitigate the loss of any encrypted files and regain
functionality of systems.
The best Cloud Data
Backup and Recovery platforms will allow businesses to recover data in the case
of a disaster, will be available anytime, and will be easily integrated with
existing cloud applications and endpoint devices, with a secure and stable
global cloud infrastructure. Cloud data
backup and recovery is an important tools to remediating against Ransomware.
I WAS ONCE
ASKED TO FLY TO EUROPE THE MEET THE REAL OWNER OF THE SHIPPING COMPANY ON WHOSE
SHIP I WAS TO WORK.
AS A CAPTAIN
YOU RARELY GET TO TALK TO THE SHIPOWNER..
THE OWNER, A
YOUNG BLOKE, TOOK ME FOR DINNER AND THEN WHILE WE WERE SIPPING
PREMIUM WINE, ASKED ME IF THERE IS ANY WAY TO STOP EMBEZZELMENT IN HIS
COMPANY..
HIS COMPANY AND SHIP HAD ALL
WHITES.. I WAS A OUTSIDER ,, A BROWN MAN..
HE SAID THAT
HE WAS TOLD ONLY CAPT AJIT VADAKAYIL CAN PUT HIS FINGER AT THE RIGHT PLACE AND
CONNECT DOTS .
SO I TOLD
HIM..
“YOUR COMPANY HAS A SOFTWARE—A BLANKET ONE ENCOMPASSING
ALL SHIP AND SHORE OPERATIONS — WHICH IS
“DELIBERATELY “ KEPT TOO COMPLICATED..
THE BIGGEST DRAW BACK IS THAT YOU DON’T GET A
BIRDs EYE VIEW OF THE SITUATION.. YOU ARE FORCED TO BE IN TUNNEL VISION MODE
WITH NARROW SPECTRUM POP UP WINDOWS. NO NORMAL BRAIN CAN COPE UP WITH THIS LOAD..
YOU ARE ARM TWISTED TO TRUST THE SOFTWARE..
UNLESS YOU ARE EXTREMELY BRIGHT, YOU CANT
FIGURE OUT HOW MONEY IS BEING BLED..
PEOPLE IN YOUR OFFICE ARE STEALING LEFT,
RIGHT AND CENTRE.. THE TECHNICAL
SUPERINTENDENTS ARE IN LEAGUE WITH SHIP STAFF TO MAKE FALSE REQUISITIONS , SIGN
FAKE INVOICES ( FOR SHORT SUPPLY/
SERVICES )
THIS SHIPOWNER
NEARLY CHOKED .. AND HE BEGGED ME TO GIVE SOLUTIONS TO MITIGATE
I DID !
SOMEBODY CALLED ME UP AND ASKED ME..
CAPTAIN—
WHO IS MUHAMMAD IBN MUSA AL-KHWARIZMI WHOM MODERN HISTORIANS ARE CALLING THE “FATHER OF COMPUTER SCIENCE” AND THE “FATHER OF ALGORITHMS”??.
LISTEN –
ARAB MUHAMMAD IBN MUSA AL-KHWARIZMI WAS A BRAIN DEAD FELLOW WHOSE ENTIRE WORK WAS SOLD TO HIM TRANSLATED INTO ARABIC BY THE CALCIUT KING FOR GOLD.
THE CALICUT KING MADE HIS MONEY BY NOT ONLY SELLING SPICES –BUT KNOWLEDGE TOO.
HE MAMANKAM FEST HELF AT TIRUNAVAYA KERALA BY THE CALICUT KING EVERY 12 YEARS WAS AN OCCASION WHERE KNOWLEDGE WAS SOLD FOR GOLD.
http://ajitvadakayil.blogspot.com/2019/10/perumal-title-of-calicut-thiyya-kings.html
EVERY ANCIENT GREEK SCHOLAR ( PYTHAGORAS/ PLATO/ SOCRATES ETC ) EXCEPT ARISTOTLE STUDIED AT KODUNGALLUR UNIVERSITY.. THE KERALA SCHOOL OF MATH WAS PART OF IT.
OUR ANCIENT BOOKS ON KNOWLEDGE DID NOT HAVE THE AUTHORs NAME AFFIXED ON THE COVER AS WE CONSIDERED BOOKS AS THE WORK OF SOULS , WHO WOULD BE BORN IN ANOTHER WOMANs WOMB AFTER DEATH.
THE GREEKS TOOK ADVANTAGE OF THIS , STOLE KNOWLEDGE FROM KERALA / INDIA AND PATENTED IT IN THEIR OWN NAMES, WITH HALF BAKED UNDERSTANDING .
WHEN THE KING OF CALICUT CAME TO KNOW THIS, HE BLACKBALLED GREEKS FROM KODUNGALLUR UNIVERSITY .. AND SUDDENLY ANCIENT GREEK KNOWLEDGE DRIED UP LIKE WATER IN THE HOT DESERT SANDS.
LATER THE CALICUT KING SOLD TRANSLATED INTO ARABIC KNOWLEDGE TO BRAIN DEAD ARABS LIKE MUHAMMAD IBN MUSA AL-KHWARIZMI FOR GOLD..
THESE ARAB MIDDLE MEN SOLD KNOWLEDGE ( LIKE MIDDLEMEN FOR SPICES) TO WHITE MEN FOR A PREMIUM.
FIBONACCI TOOK HIS ARABIC WORKS TO ITALY FROM BEJAYA , ALGERIA.
http://ajitvadakayil.blogspot.com/2010/12/perfect-six-pack-capt-ajit-vadakayil.html
EVERY VESTIGE OF ARAB KNOWLEDGE IN THE MIDDLE AGES WAS SOLD IN TRANSLATED ARABIC BY KODUNGALLUR UNIVERSITY FOR GOLD..
FROM 800 AD TO 1450 AD KODUNGALLUR UNIVERSITY OWNED BY THE CALICUT KING EARNED HUGE AMOUNT OF GOLD FOR SELLING READY MADE TRANSLATED KNOWLEDGE ..
THIS IS TIPU SULTANS GOLD WHO STOLE IT FROM NORTH KERALA TEMPLE VAULTS.. ROTHSCHILD BECAME THE RICHEST MAN ON THIS PLANET BY STEALING TIPU SUTANs GOLD IN 1799 AD.
http://ajitvadakayil.blogspot.com/2011/10/tipu-sultan-unmasked-capt-ajit.html
WHEN TIPU SULTAN WAS BLASTING TEMPLE VAULTS, LESS THAN 1% OF THE GOLD WAS SECRETLY TRANSFERRED TO SOUTH KERALA ( TRADITIONAL ENEMIES ) OF THE CALICUT KING. LIKE HOW SADDAM HUSSAIN FLEW HIS FIGHTER JETS TO ENEMY IRAN .
THIS IS THE GOLD WHICH WAS UNEARTHED FROM PADMANABHASWAMY TEMPLE..
http://ajitvadakayil.blogspot.com/2013/01/mansa-musa-king-of-mali-and-sri.html
ALGORITHMS ARE SHORTCUTS PEOPLE USE TO TELL COMPUTERS WHAT TO DO. AT ITS MOST BASIC, AN ALGORITHM SIMPLY TELLS A COMPUTER WHAT TO DO NEXT WITH AN “AND,” “OR,” OR “NOT” STATEMENT.
THE ALGORITHM IS BASICALLY A CODE DEVELOPED TO CARRY OUT A SPECIFIC PROCESS. ALGORITHMS ARE SETS OF RULES, INITIALLY SET BY HUMANS, FOR COMPUTER PROGRAMS TO FOLLOW.
A PROGRAMMING ALGORITHM IS A COMPUTER PROCEDURE THAT IS A LOT LIKE A RECIPE (CALLED A PROCEDURE) AND TELLS YOUR COMPUTER PRECISELY WHAT STEPS TO TAKE TO SOLVE A PROBLEM OR REACH A GOAL.
THERE IS NO ARTIFICIAL INTELLIGENCE WITHOUT ALGORITHMS. ALGORITHMS ARE, IN PART, OUR OPINIONS EMBEDDED IN CODE.
ALGORITHMS ARE AS OLD AS DANAVA CIVILIZATION ITSELF – THIEF GREEK EUCLID’S ALGORITHM BEING ONE OF THE FIRST EXAMPLES DATING BACK SOME 2300 YEARS
EUCLID JUST PATENTED MATH HE LEARNT IN THE KERALA SCHOOL OF MATH IN HIS OWN NAME.. EUCLID IS A THIEF LIKE PYTHAGORAS WHO LEARNT IN THE KERALA SCHOOL OF MATH.
http://ajitvadakayil.blogspot.com/2011/01/isaac-newton-calculus-thief-capt-ajit.html
ALGEBRA DERIVED FROM BRAIN DEAD AL-JABR, ONE OF THE TWO OPERATIONS HE USED TO SOLVE QUADRATIC EQUATIONS.
ALGORISM AND ALGORITHM STEM FROM ALGORITMI, THE LATIN FORM OF HIS NAME.
CONTINUED TO 2--
-
CONTINUED FROM 1-
BRAIN DEAD CUNT AL-KHWARIZMI DEVELOPED THE CONCEPT OF THE ALGORITHM IN MATHEMATICS -WHICH IS A REASON FOR HIS BEING CALLED THE GRANDFATHER OF COMPUTER SCIENCE ( SIC ).. THEY SAY THAT THE WORD “ALGORITHM” IS ACTUALLY DERIVED FROM A LATINIZED VERSION OF AL-KHWARIZMI’S NAME BRAAAYYYYYYY.
ALGORITMI DE NUMERO INDORUM IN ENGLISH AL-KHWARIZMI ON THE HINDU ART OF RECKONING GAVE RISE TO THE WORD ALGORITHM DERIVING FROM HIS NAME IN THE TITLE. THE WORK DESCRIBES THE HINDU PLACE-VALUE SYSTEM OF NUMERALS BASED ON 1, 2, 3, 4, 5, 6, 7, 8, 9, AND 0. THE FIRST USE OF ZERO AS A PLACE HOLDER IN POSITIONAL BASE NOTATION WAS DUE TO AL-KHWARIZMI IN THIS WORK.
ANOTHER IMPORTANT WORK BY AL-KHWARIZMI WAS HIS WORK SINDHIND ZIJ ON ASTRONOMY. THE WORK, DESCRIBED IN DETAIL IN , IS BASED IN INDIAN ASTRONOMICAL WORKS..
THE MAIN TOPICS COVERED BY AL-KHWARIZMI IN THE SINDHIND ZIJ ARE CALENDARS; CALCULATING TRUE POSITIONS OF THE SUN, MOON AND PLANETS, TABLES OF SINES AND TANGENTS; SPHERICAL ASTRONOMY; ASTROLOGICAL TABLES; PARALLAX AND ECLIPSE CALCULATIONS; AND VISIBILITY OF THE MOON. A RELATED MANUSCRIPT, ATTRIBUTED TO AL-KHWARIZMI, ON SPHERICAL TRIGONOMETRY IS DISCUSSED..
PTOLEMY’ ENTIRE WORKS ARE LIFTED FROM KODUNGALLUR UNIVERSITY KERALA OWNED BY THE CALICUT KING. AL-KHWARIZMI'S TABLES WERE CAST ON PTOLEMY’S TABLES.
AL-KHWARIZMI WROTE ON THE ASTROLABE AND SUNDIALS ,WHICH ARE HINDU INSTRUMENTS
THERE IS A STATUE OF MUHAMMAD IBN MUSA AL-KHWARIZMI HOLDING UP AN ASTROLABE IN FRONT OF THE FACULTY OF MATHEMATICS OF AMIRKABIR UNIVERSITY OF TECHNOLOGY IN TEHRAN . HE GOT AN ASTROLABE INSTRUMENT AND TRANSLATED INTO ARABIC NOTES OF THE MANUAL ( BOTH CONSTRUCTION AND OPERATIONAL ) FOR GOLD .. HIS ASTROLABE INSTRUMENT HAD PLATES FOR MECCA/ ISTANBUL/ ALEXANDRIA.
ASTROLABE BRASS INSTRUMENTS WERE SOLD BY KODUNGALLUR UNIVERSITY PROFESSORS AT THE LIBRARY OF CORDOBA IN SPAIN..
THESE SIMPLE BRASS DEEP SEA NAVIGATION INSTRUMENTS WERE PRODUCED MUCH BEFORE THE COMPLICATED ANTIKYTHERA AUTOMATIC ( PERPETUAL MOTION ) MECHANISM..
THE DEEP SEA NAVIGATING SHIPS OF QUEEN DIDO , A KERALA THIYYA PRINCESS WHO TAUGHT AT THE UNIVERSITY OF ALEXANDRIA IN 1600 BC ( ON DEPUTATION FROM KODUNGALLUR UNIVERSITY ) CARRIED THESE INSTRUMENTS..
http://ajitvadakayil.blogspot.com/2019/05/the-ancient-7000-year-old-shakti.html
ASTROLABE IT IS AN ELABORATE INCLINOMETER, HISTORICALLY USED BY ASTRONOMERS AND NAVIGATORS TO MEASURE THE ALTITUDE ABOVE THE HORIZON OF A CELESTIAL BODY, DAY OR NIGHT.
IT CAN BE USED TO IDENTIFY STARS OR PLANETS, TO DETERMINE LOCAL LATITUDE GIVEN LOCAL TIME (AND VICE VERSA), TO SURVEY, OR TO TRIANGULATE. ASTROLABE WAS CALLED SITARA YANTRA..
http://ajitvadakayil.blogspot.com/2019/09/onam-our-only-link-to-planets-oldest.html
AN ASTROLABE (SOLD IN CORDOBA SPAIN ) WAS EXCAVATED FROM THE WRECK SITE OF A PORTUGUESE ARMADA SHIP AS THE OLDEST IN THE WORLD. THEY ALSO CERTIFIED A SHIP'S BELL -- DATED 1498 -- RECOVERED FROM THE SAME WRECK SITE ALSO AS THE OLDEST IN THE WORLD.
DONT EVER THINK THAT VASCO DA GAMA AND COLUMBUS NAVIGATED ON WESTERN TECHNOLOGY.. THEY USED ANCIENT DEEP SEA NAVIGATING INSTRUMENTS OF ANCIENT KERALA THIYYA NAVIGATORS..
DIOPHANTUS STUDIED IN KODUNGALLUR UNIVERSITY. HE IS THE AUTHOR OF A SERIES OF BOOKS CALLED ARITHMETICA, ALL LIFTED FROM KERALA SCHOOL OF MATH.
THIEF DIOPHANTUS WAS THE FIRST GREEK MATHEMATICIAN WHO RECOGNIZED FRACTIONS AS NUMBERS; THUS HE ALLOWED POSITIVE RATIONAL NUMBERS FOR THE COEFFICIENTS AND SOLUTIONS.
IN MODERN USE, DIOPHANTINE EQUATIONS ARE USUALLY ALGEBRAIC EQUATIONS WITH INTEGER COEFFICIENTS, FOR WHICH INTEGER SOLUTIONS ARE SOUGHT. DIOPHANTUS WAS A BRAIN DEAD FELLOW WHO STOLE HIS ALGEBRA FROM THE KERALA SCHOOL OF MATH.
MEDIOCRE BRAIN JEW ALBERT EINSTEIN WAS A THIEF… HE STOLE FROM PART TWO ( BRAHMANAS ) AND PART THREE ( ARANYAKAS ) OF THE VEDAS..
http://ajitvadakayil.blogspot.com/2018/11/albert-einstein-was-thief-plagiarist.html
LIES WONT WORK.. A BROWN BLOGGER IS IN TOWN !
Capt ajit vadakayil
..
-
JEW GEORGE SOROS IS A WEE AGENT OF JEW ROTHSCHILD WHO RULED INDIA...
JEW GEORGE SOROS IS BEING USED BY THE JEWISH DEEP STATE TO MAKE INDIA IMPLODE FROM WITHIN..
THE WHITE JEW KNOWS THAN IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER AND IT PLANS TO MAKE INDIA IMPLODE FROM WITHIN..
HARSH MANDER WHO TRIGGERED THE DELHI ANTI-CAA MUSLIM RIGHTS RIOTS IS AN AGENT OF JEW SOROS WHO HAS DONATED ONE BILLION USD TO FIGHT HINDUS AND CREATE DISCORD IN INDIA....
https://www.opensocietyfoundations.org/who-we-are/boards/human-rights-initiative-advisory-board
HARDH MANDAR IS A BOARD MEMBER OF OPEN SOCIETY FOUNDATIONS -- A JEWISH DEEP STATE ORGANISATION LED BY GEORGE SOROS ..
https://www.opindia.com/2020/01/george-soros-1-billion-dollar-fight-nationalists-pm-modi-usa-china-russia/
ONE BILLION USD DONATION BY GEORGE SOROS TO CREATE ANTI-HINDU SENTIMENTS IN INDIA IS THE TIP OF THE ICEBERG.. AS GEORGE SOROS HAS ALREADY DONATED 32 BILLION TO OPEN SOCIETY FOUNDATIONS..
https://www.opensocietyfoundations.org/george-soros
WE ASK AJIT DOVAL.. AS NSA WHAT IS YOUR JOB?.. IS IT TO GO AROUND CONSOLING MUSLIMS AFTER CAA DELHI RIOTS ?..
MANY INDIAN JOURNALISTS , COLLEGIUM JUDGES , PROFESSORS OF SOCIAL SCIENCES IN ELITE INDIAN COLLEGES ARE IN DEEP STATE PAYROLL.
WHY IS HARDH MANDAR NOT IN JAIL ?..
WHY HAS JUDICIARY LEGALIZED BITCOIN WHICH IS USED TO FUND ISLAMIC MERCENARIES IN KASHMIR AND DESH DROHIS IN INDIA?...
HARSH MANDER WHO IS SPONSORED BY LIBERAL INDIAN JUDGES IS THE CHAIRMAN OF GEORGE SOROS’S OPEN SOCIETY FOUNDATION’S HUMAN RIGHTS INITIATIVE ADVISORY BOARD..
WE WANT THIS FOREIGN FUNDED DESH DROHI ORG KARWAN E MOHABBAT TO BE PROFILED..
MODI IS NAIVE TO BELIEVE THAT JEWS WHO SPONSORED HIM WITH A SIKH TURBAN IN 1976, IS ON HIS SIDE.. WE ASK MODI TO WORK FOR BHARATMATA NOT HIS JEWISH MASTERS ..
WE WATCH..
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
capt ajit vadakayil
..
JEW ROTHSCHILD WHO COOLED UP PALI SPEAKING / PIG EATING GAUTAMA BUDDHA AND PALI SCRIPT FOR THIS BURMESE DIALECT , CONVERTED—
SHRADDHA TO SADDA
CHAKRA TO CHAKKA,
DHARMA TO DHAMMA,
KARMA TO KAMMA,
SUTRA TO SUTTA ,
SATVA TO SATTA ,
PUTRA TO PUTTA ,
VASTU TO VATTU ETC..
SO ROMILA BABY , LET US ALL DANCE TO HUMMA ( HARAMI ).
https://www.youtube.com/watch?v=IhdUyiK-TTI
capt ajit vadakayil
..
SEND THIS COMMENT TO ROMILA THAPAR
SHRADDHA TO SADDA
CHAKRA TO CHAKKA,
DHARMA TO DHAMMA,
KARMA TO KAMMA,
SUTRA TO SUTTA ,
SATVA TO SATTA ,
PUTRA TO PUTTA ,
VASTU TO VATTU ETC..
SO ROMILA BABY , LET US ALL DANCE TO HUMMA ( HARAMI ).
https://www.youtube.com/watch?v=IhdUyiK-TTI
capt ajit vadakayil
..
SEND THIS COMMENT TO ROMILA THAPAR
BELOW: EUROPE AND SCANDINAVIA
HAVE CHRISTIAN POPULATION.. BUT THEIR RULERS ARE CRYPTO JEWS INSTALLED BY THE
JEWISH DEEP STATE..
SEAMLESS BOUNDARIES AND SINGLE EURO CURRENCY WAS A ROTHSCHILD CONSPIRACY..
PIR ALI MUSLIM TAGORE WAS ROTHSCHILDs AGENT FOR "SEAMLESS BOUNDARIES" AND "HEAVEN OF FREEDOM"..
THIS POST IS NOW CONTINUED TO PART 16, BELOW--
https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do.html
CAPT AJIT VADAKAYIL
..
COMMENTS IN THIS POST IS NOW OPEN..
ReplyDeleteDO NOT MAKE COMMENTS IN ANY POST HAVING MORE THAN 200 COMMENTS..
###### SUBJECT--- SUPEREME COURT ALLOWS CRYPTO CURRENCY TRADING #########
ReplyDeleteWHY IS SUPREME COURT PLAYING GOD?...
WE THE PEOPLE ASK CJI BOBDE...
WHY IS CHANDRACHUD AND NARIMAN LOVED BY THE JEWISH DEEP STATE ?..
WE KNOW THE TRAITOR JUDGES IN FOREIGN PAYROLL..
WHY DOES PM MODI AND LAW MINISTER PRASAD GIVE SO MUCH OF LEEWAY TO THESE TWO "LIBERAL JUDGES" WHO KICKED BHARATMATA INTO THE KOSHER ADULTERY/ HOMOSEXUAL MANDI?...
WE THE PEOPLE DO NOT WANT CHANDRACUD AS INDIAs CJI.. THE DEEP STATE HAS KEPT HIM IN POLE POSITION.. WE KNOW WHY !!
SUPREME COURT HAS NO POWERS TO INTERFERE IN GOVTS FINANCIAL DECISIONS ..
DESH DROHI INDIANS ARE USING BITCOIN FOR MONEY LAUNDERING , PEDOPHILIA AND FUNDING TERRORISTS AND RUNNING DRUGS..
BITCOIN IS NOT DECENTRALIZED. … KOSHER MINERS ARE THE DE FACTO CENTRAL AUTHORITY IN BITCOIN EXCHANGES….. THEY’RE ACTUALLY CENTRALLY CONTROLLED BY A MAFIA POOL OF KOSHER MINERS, WHO CAN BASICALLY REWRITE BLOCKCHAIN HISTORY AT WILL. …
IN 10 YEARS OF ITS EXISTENCE ALL THAT BLOCKCHAIN HAS ACHIEVED IS TO REGULARIZE GRABBED LAND IN ISRAEL AND GEORGIA BY WHITE JEWS. …
CHANDRABABY NAIDU TRIED TO USE BITCOIND/ BLOCKCHAIN TO REGULARISE GRABBED LAND AT AMARAVATI….
OUR PM AND LAW MINISTER ARE USELESS ..
OUR JUDICIARY IS THE WORST ON THE PLANET… TRAITORS WHO CREATED THE NAXAL RED CORRIDOR AND CAUSED ETHNIC CLEANSING OF KASHMIRI PANDITS ..
SINCE 1947, RBI HAS BEEN CONTROLLED BY JEW ROTHSCHILD.. ARE WE A BANANA REPUBLIC?...
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
READ ALL 18 PARTS OF THE POST BELOW—
http://ajitvadakayil.blogspot.com/2018/04/blockchain-bitcoin-must-be-kicked-out.html
WE WATCH..
capt ajit vadakayil
..'
PUT ABOVE COMMENT IN WEBSITES OF--
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SPREAD ON SOCIAL MEDIA
SPREAD MESSAGE VIA WHATS APP
ALL MUST PARTICIPATE
ASK RBI, RBI GOVERNOR, FINANCE MINISTER, PMO, PM MODI, LAW MINISTER FOR AN ACK..
WITH THIS RULING INDIA WILL NOT BE ABLE TO BECOME THIS PLANETs NO 1 SUPERPOWER IN 13 YEARS ... MODI WILL RUN AWAY TO HIS SAFE HOUSE IN ISRAEL ..
Deletepmo: PMOPG/E/2020/0108674
DeletePMOPG/E/2020/0108616
DeleteDORVU/E/2020/00406
Sent mails to the following ids,some of which are officials of finance ministry.
shaktikanta.das@nic.in
governor@rbi.org.in
fmo@nic.in
mphamirpur@gmail.com
swamy39@gmail.com
contact@amitshah.co.in
amitshah.mp@sansad.nic.in
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rajeevkumar@nic.in
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supremecourt@nic.in
ombirlakota@gmail.com
rajeev@rajeev.in
sachdeva.ak@nic.in
amitabh.kant@nic.in
vch-niti@gov.in
DeletePMOPG/E/2020/0108715
MINHA/E/2020/02260 DEPOJ/E/2020/00975
MOIAB/E/2020/00512 DPLNG/E/2020/00252
MODEF/E/2020/00679 DMAFF/E/2020/00023
DORVU/E/2020/00407 DOCOM/E/2020/00235
MINPA/E/2020/00145 LGVED/E/2020/00069
Sent Emails the above list which Charishma posted.
DeleteSent Emails to most in the list.
DeletePMOPG/E/2020/0109156
Deletehttps://twitter.com/KshitijGundale1/status/1235239007006539776?s=19
Dear Capt Ajit sir,
Deletehttps://twitter.com/IwerePm/status/1235254358851211265?s=19
Captain, this is my comment..
DeleteCrypto currency do not meet RBI regulations which is why it is banned by RBI. SC has no constitutional right to finger with other Govt. bodies . It is proved all over the world that crypto currency is worst than gambling and its value dropped to less than 500%. It is primarily used to fund terrorist activities, drug cartel transactions, supari payments to kill enemy payments etc, which is why on the recommendations of Central Govt RBI banned it. Now SC open flood gates to encourage terrorism in J&K, West Bengal, Kerala where ISI can make untraceable payments. India's military secrets also can be bought easily by enemy countries. It is really sad to note some judges are paving way for these anti-national activities. Modi Govt should bring an act to curtail involvement of SC in crypto currencies and save India from the commie judges..
MODI STANDS IN THE SHADOWS AND MANIPULATES JUDGES WHO BLEED BBHARATMATA..
DeleteWE ALL KNOW HOW CHILDLESS MODI LEGALIZED HOMOSEXUALITY/ ADULTERY..
Elder Figure, Sent emails to adds given by Charishma here and have asked for an ack.
DeleteYour Registration Number is : PMOPG/E/2020/0110946
Deletesend to pmo, rbi & many more:-
Deleteregistration number PMOPG/E/2020/0108821
registration number PMOPG/E/2020/0108825 .
https://twitter.com/AKJANGRA17/status/1235191189638242305?s=20
WE ASK PUTIN TO TEACH CRYPTO JEW ERDOGAN A LESSON HE WILL TAKE TO HIS GRAVE..
ReplyDeleteIF DEEP STATE AGENT ERDOGAN WANTS A SAFE BUFFER ZONE, LET HIM CREATE THAT IN HIS OWN COUNTRY TURKEY--- NOT SOVEREIGN NATION SYRIA..
WHEN THERE WAS A COUP IN TURKEY, IT WAS NATO JET FIGHTERS WHO BOMBED THE PATRIOTIC REBELS HOLDING THE FORT IN HELICOPTERS , SUDDENLY IN MINUTES ..
RUSSIA MUST NOT HAVE AN ALLIANCE WITH TURKEY WHO IS A DOUBLE AGENT FOR NATO, USA AND ISRAEL.
WHEN PUTIN MEETS MEGALOMANIAC ERDOGAN TOMORROW, HE MUST RUB HIS TURKISH NOSE ON THE GROUND..
RUSSIA HAS MADE A HUGE MISTAKE BY SELLING S400 SYSTEM TO TURKEY... IT IS BEING REVERSE ENGINEERED BY JEWS..
https://twitter.com/shahid_siddiqui/status/1235121731494281216
ReplyDeleteTHIS PAKISTANI ISI DARLING WILL BE IN JAIL SOO..
Ajit Sir,
ReplyDeleteThis Majinder Sirsa from Delhi is a GAD'DAR.
What is this?
Means the Sikh while attacking Hindus will not bother if our religion is HINDUISM but when it comes to them for falling as victim created out of their own mischief they play the Victim card.
In the entire India, this fellow Majinder Sirsa is simply rocking Sikh को यह हो गया, Sikh को वह हो गया
अरे... हिंदुओं को कुछ तुम Sikh लोग करोगे तो, "हिन्दुओं को यह हो गया ,हिन्दुओं को वह हो गया" ; वैसे कुछ आवाज नहीँ आनी है
आज Malabar में कुछ हुआ है एक बल्ले बल्ले गबरू ultra modern Sikh लौंड को,उसको लेकर क्या गला फाड़ रहा है यह Majinder Sirsa.
Means total Malayali community is racial...
Majinder Sirsa has tweeted
Few weeks ago, a Sardar in Bhubaneswar was attacked by a pre-planned plot by a fellow Sikh Sardar and Odia people got bad name.
Even they called for declaring Sikhism as independent religion so that the land belonging to Sikh Mutts in Puri District can be grabbed by them.
Again today, in Madhya Pradesh some case has happened with Sikh students who were appearing for 12th Board Exam to which that Majinder Sirsa has threatened & appealed to PMO HMO.
मतलब SIKH बहुत दूध के धुले हैं और हम बहुत बुरे हैं
Here in Odisha, the Sikhs shocked me.
क्या case घुमाया उन लोगों ने
Sikhs are becoming more dangerous than Muslims.
Every damn Sikh handle mentions that Sikh protected Hindus & pretending to be great sacrificed lots.
Ajit Sir,
ReplyDeleteJust remove this fellow Tarek Fateh in which so ever blog you have mentioned giving him pride of the space & Flush him down the Shit hole.
Pathetic fellow, ridiculing the BJP MLA from Assam, Haripriya Suman for her statement on Cow's Urine as remedy to Corona Virus.
I simply stole your blog's screenshot from Rajesh Rawat who has posted below Tarek Fateh's TL & tweeted to sarbananda sonowal, BJP4Assam, Saptagiri Ulaka(Koraput MP who ridiculed the same) and Baba Ramdev.
Twitter has limited my features, hence can't put the link here.
Tarek Fateh is a NONSENSE.
Playing from gallery & ridiculing our Vedic knowledge.
Moron Tarek Fateh & that fellow supports India...Double agent spy...
WE THE PEOPLE WANT TO KNOW
ReplyDeleteWHY IS HARSH MANDER THE PET OF THE ITALIAN MAINO JEWESS NOT IN JAIL?
WE HE PEOPLE DEMAND A PROBE INTO THE ANTI-NATIONAL AND ANTI-HINDU ACTIVITIES OF HARSH MANDAR WHEN HE WAS MEMBER OF NAC..
WHAT IS THSI FELLOW CONNECTION WITH THE COMMIE PROFESSORS OF BERKELEY UC? WHAT ARE THE SOURCES OF HIS INDIAN AND FOREIGN FUNDS?
WE WANT HARSH MANDAR TO BE SACKED FROM ALL TEACHING POSITIONS IN INDIA..
I HAVE READ SOME OF HIS BOOKS.. TOTAL NONSENSE.. IS THIS FELLOW SANE ?
WE WANT HIS ROLE IN THE ANTI-HINDU CVB FOISTED BY NAC TO BE PROBED..
HARSH MANDAR IS GUILTY OF INCITING MOBS IN DELHI.. HE HAS HIS SUPPORTERS AMONG FOREIGN FUNDED SUPREME COURT JUDGES..
https://www.opindia.com/2020/03/harsh-mander-secularism-ayodhya-supreme-court-caa-nrc-mob-violence-viral-video/
READ BOTH PARTS OF THE POST BELOW--
https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF--
DeleteHARSH MANDAR
EXTERNAL MINISTER/ MINISTRY
PMO
PM MODI
NITI AYOG
AMITABH KANT
NCERT
EDUCATION MINISTER/ MINISTRY
ALL MPs OF INDIA
ALL MLAs OF INDIA
CMs OF ALL INDIAN STATES
DGPs OF ALL STATES
GOVERNORS OF ALL STATES
PRESIDENT OF INDIA
VP OF INDIA
SPEAKER LOK SABHA
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CJI BOBDE
ATTORNEY GENERAL
ALL SUPREME COURT JUDGES
ALL SUPREME COURT LAWYERS
LAW MINISTER/ MINISTRY CENTRE AND STATE
ALL HIGH COURT CHIEF JUSTICES
DAVID FRAWLEY
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KONRAED ELST
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RAW
IB
NIA
ED
CBI
AMIT SHAH
HOME MINISTRY
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ALL 3 ARMED FORCE CHIEFS
CDS
NALIN KOHLI
GVL NARASIMHA RAO
SAMBIT PATRA
VIVEK OBEROI
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ASHOK PANDIT
ANUPAM KHER
KANGANA RANAUT
VIVEK AGNIHOTRI
KIRON KHER
MEENAKSHI LEKHI
SMRITI IRANI
PRASOON JOSHI
MADHUR BHANDARKAR
SWAPAN DASGUPTA
SONAL MANSINGH
MADHU KISHWAR
SUDHIR CHAUDHARY
GEN GD BAKSHI
RSN SINGH
E SREEDHARAN
MOHANLAL
SURESH GOPI
CHANDAN MITRA
RAHUL EASWWAR
TOM VADAKKAN
E SREEDHARAN
PC GEORGE MLA
SRIDHARAN PILLAI
PARASARAN
SAI DEEPAK
VIDYASAGAR GURUMURTHY
PRAKASH RAJ
KAMALAHASSAN
ALPESH THAKORE
CHANDRASEKHAR OF BHIM ARMY
TEESTA SETALVAD
KAVITA KRISHNAN
SHUBHA MUDGAL
NALINI SINGH
DILIP CHERIAN
SUMEET CHOPRA
DINESH VARSHNEY
VC OF JNU
VC OF DU/ JU/ TISS
DEAN OF FTII
KANCHA ILAIH
RAJEEV CHANDRASHEKAR
MOHANDAS PAI
SPREAD ON SOCIAL MEDIA
https://twitter.com/shree1082002/status/1235192630817853440
Deletehttps://twitter.com/rakeshsivan/status/1235366189578235905
Deletehttps://twitter.com/rakeshsivan/status/1235366236592234499
https://twitter.com/prashantjani777/status/1235608197966200833
Deletehttps://twitter.com/prashantjani777/status/1235608382809071617
https://twitter.com/prashantjani777/status/1235608523515584512
https://twitter.com/prashantjani777/status/1235608669816909824
https://twitter.com/prashantjani777/status/1235608886671028225
https://twitter.com/prashantjani777/status/1235608998927310848
Your Registration Number is : PMOPG/E/2020/0110937
DeleteCome hell or high water please Captain do NOT allow Modi/Israel to do river linking. Promise ur dedicated readers that much.
ReplyDeletehttp://www.attukal.org/pongala20/pongala20.htm
ReplyDeleteATTUKAL PONGALA IS NOT A RITUAL CONNECTED WITH SANATANA DHARMA..
HERE MEN SLAVE FOR WOMEN..
THIS FAKE RITUAL STARTED BY KANCHI MUTT IN TIRUVANATHAPURAM HAS "KANNAGI" OF TAMIL FAKE BOOK SILAPPATHIKARAM AS THE HEROINE..
KANNAGI IS A FAKE ROTHSCHILD CREATED GODDESS.
https://en.wikipedia.org/wiki/Kannagi
THE MOST HALLOWED SPOT ON THE PLANET WHERE ANCIENT GREEKS RECEIVED THEIR CONVOCATION OF "TAT TWAM ASI" IS DESECRATED WITH SEMEN/ MENSES BLOOD AND SHIT OF BLACK FACED LOW CLASS TAMILS .. ALL IN THE NAME OF KANNAGI..
http://ajitvadakayil.blogspot.com/2013/03/kodungallur-bharani-festival-capt-ajit.html
SORRY, THIS IS NOT WOMENs POWER, WHERE MEN ACT AS SLAVES TO WOMEN..
https://www.theweek.in/content/archival/news/india/attukal-pongala-a-celebration-of-women-power-in-kerala-capital.html
IN KERALA EMPOWERED WOMEN ARE HOMEMAKERS --LIKE MY WIFE. THEIR JOY IS DERIVED FROM RUNNING A HAPPY HOME..
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF--
DeleteCM OF KERALA PINARAYI VIJAYAN
ALL KERALA MPs AND MLAs
ALL KERALA COLLECTORS
ALL KERELA MEDIA
RAHUL EASHWAR
PADMA PILLAI ( FAT WOMAN)
SASHI THAROOR
E SREEDHARAN
MOHANLAL
ALL MEDIA OF KERALA
KERALA HIGH COURT CHIEF JUDTICE
ARUNDHATI ROY
ANNA VETTIKAD
KERALA ASSEMBLY SPEAKER
ZAKKA JACOB
SURESH GOPI
DAVID FRAWLEY
STEPHEN KNAPP
WILLIAM DALRYMPLE
KONRAED ELST
FRANCOIS GAUTIER
PMO
PM MODI
NITI AYOG
AMITABH KANT
https://twitter.com/rakeshsivan/status/1235367847154470912
DeleteYour Registration Number is : PMOPG/E/2020/0110931
Deletewomen all over the world are trying to move towards Sanatana Dharma to make sense of life. eg. yoga, ayurveda, reiki
In India they are trying reverse to misguide Indian women
bollywood actresses who have to depend on yoga and ayurveda for their bread and butter, run down Sanatana dharma just for few bucks or stay in the industry
INTERNATIONAL ASSOCIATION OF GENOCIDE SCHOLARS WAS FOUNDED BY THE JEWISH DEEP STATE TO DO PROPAGANDA FOR JEWS..
ReplyDeleteGREGORY STANTON IS AN EX-PRESIDENT OF THIS ORG WHICH CONVERTS SURISE TO SUNSET.. IN 1999 STANTON FOUNDED GENOCIDE WATCH.
COMMIE JEW GREGORY STANTON HAS ANNOUNCED THAT HINDUS ARE DOING GENOCIDE ( OF MUSLIMS ) IN INDIA..
https://www.sabrangindia.in/article/preparation-genocide-under-way-india-dr-gregory-stanton
GREGORY BABY NEVER HEARD OF GENOCIDE OF KASHMIRI PANDITS BY MUSLIMS FUNDED BY PAKISTANI ISI, WITH HELP OF INDIAN JUDICIARY AND INDIAN MEDIA ..
GREGORY BABY HEARD OF ONLY SIX MILLION JEWS DEAD DURING WW2.. HE DOES NOT KNOW THAT HITLER WAS A JEW WHO ELIMINATED ANAL SEX RECEIVING JEWS WHO WERE UNWANTED IN THE PROMISED LAND..
ROMANI GYPSIES MURDERED BY JEW HITLER WAS COUNTED AS JEWS DEAD..
WHY DOES INTERNATIONAL ASSOCIATION OF GENOCIDE SCHOLARS DO NOTHING ABOUT THE MOST PERSECUTED RACE , THE ROMANI GYPSIES? ALL THIS KOSHER ORG IS TRYING IS TO ARM TWIST INDIA INTO ABSORBING THE CRIMINAL DNA ROHINGYA MUSLIMS..
WE ASK THE MODI GOVT.. WARN GREGORY STANTON OF ARREST AND INCARCERATION FOR PEDDLING LIES..
http://ajitvadakayil.blogspot.com/2019/11/history-of-romani-gypsies-capt-ajit.html
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF-
GREGORY STANTON
INTERNATIONAL ASSOCIATION OF GENOCIDE SCHOLARS
GENOCIDE WATCH
PMO
PM MODI
EXTERNAL AFFAIRS MINISTRY/ MINISTRY
TRUMP
PUTIN
BORIS JOHNSON
MACRON
ANGELA MERKEL
ABASSADORS TO AND FROM ABOVE NATIONS.
UN CHIEF
UNHCHR CHIEF
I&B MINISTER / MINISTRY
NCERT
EDUCATION MINISTRY/ MINISTER
NSA
AJIT DOVAL
RAW
IB
CBI
NIA
ED
AMIT SHAH
HOME MINISTRY
DEFENCE MINISTER/ MINISTRY
ALL 3 ARMED FORCE CHIEFS-- PLUS TOP CDS CHIEF
ALL DGPs OF INDIA
ALL IGs OF INDIA
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CJI BOBDE
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ATTORNEY GENERAL
LAW MINISTER PRASAD / MINISTRY CENTRE AND STATES
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PGURUS
SWAMY
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KONRAED ELST
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NITI AYOG
AMITABH KANT
PRESIDENT OF INDIA
VP OF INDIA
SPEAKER LOK SABHA
SPEAKER RAJYA SABHA
THAMBI SUNDAR PICHAI
SATYA NADELLA
CEO OF WIKIPEDIA
QUORA CEO ANGELO D ADAMS
QUORA MODERATION TEAM
KURT OF QUORA
GAUTAM SHEWAKRAMANI
ALL INDIAN THINK TANKS
https://twitter.com/Sashwatdharma/status/1235416033898332160 - presidents
Deletehttps://twitter.com/Sashwatdharma/status/1235416713300070400 - embassies
Tweeted.
Sent emails to dgps,igs, governors and law ministers.
https://twitter.com/shree1082002/status/1235492563773034496
Deletehttps://twitter.com/prashantjani777/status/1235565756122910721
Deletehttps://twitter.com/prashantjani777/status/1235566505955188736
https://twitter.com/prashantjani777/status/1235567227560173568
https://twitter.com/prashantjani777/status/1235567728678797312
https://twitter.com/prashantjani777/status/1235568038059085824
https://twitter.com/prashantjani777/status/1235568169185665024
Your Registration Number is : PMOPG/E/2020/0110929
Deletehttps://twitter.com/AnaMyID
ReplyDeleteTWITTER SPONSORED THIS SLUT TO RUN DOWN SANATANA DHARMA AND INDIA..
WHO CARES FOR SLUTS?
https://www.nytimes.com/2020/03/03/world/europe/putin-proposes-constitutional-ban-on-gay-marriage.html
ReplyDeletePUTIN HAS CHARACTER
UNLIKE CHILDLESS MODI
Master Ji
ReplyDeleteAgenda 21? The Plan To Depopulate 95% Of The World By 2030 and corona virus part of it?
https://massawakening.org/how-does-agenda-21-is-being-implemented-worldwide/
Thanks
Captain Sir,
ReplyDeleteReceived following responses:
1. MOIAB/E/2020/00493
Name Of Complainant
C Prabhu
Date of Receipt
03/03/2020
Received By Ministry/Department
Information and Broadcasting
Regarding Torture/murder of IB officer Ankit Sharma by an illegal immigrant muslim immigrant mob led by AAP leader tahir hussain..
- Nothing will happen as traitor judiciary and MSM media are on the side of illegal immigrant muslims.
INDIAN COPS/ SECURITY AGENCIES HAVE NO PRIDE OR HONOR.
...
...
WE THE PEOPLE WATCH IN UTTER FRUSTRATION HOW ILLEGAL COLLEGIUM JUDICIARY IS TREATING "WE THE PEOPLE" AND THE CONSTITUTION IN CONTEMPT..
Current Status
Case closed
Date of Action
04/03/2020
Reason
Others
Remarks
The subject matter is general in nature and may not be treated as a grievance
Officer Concerns To
Officer Name
P. K. Abdul Kareem
Officer Designation
Economic Advisor
Contact Address
Email Address
pka.kareem@nic.in
Contact Number
01123383374
2. MINHA/E/2020/02201
Name Of Complainant
C Prabhu
Date of Receipt
03/03/2020
Received By Ministry/Department
Home Affairs
Regarding Torture/murder of IB officer Ankit Sharma by an illegal immigrant muslim immigrant mob led by AAP leader tahir hussain..
- Nothing will happen as traitor judiciary and MSM media are on the side of illegal immigrant muslims.
INDIAN COPS/ SECURITY AGENCIES HAVE NO PRIDE OR HONOR.
This is why CJI Gogoi was able to treat CBI cheif like a class dunce and make him sit in a corner of court room the whole day.
...
...
WE THE PEOPLE WATCH IN UTTER FRUSTRATION HOW ILLEGAL COLLEGIUM JUDICIARY IS TREATING "WE THE PEOPLE" AND THE CONSTITUTION IN CONTEMPT..
Current Status
Case closed
Date of Action
04/03/2020
Reason
Others
Remarks
Quoting from someone s blog does not constitute a grievance. This is personal view of blog writer.
Officer Concerns To
Officer Name
Saheli Ghosh Roy
Officer Designation
Joint Secretary C&IC
Contact Address
Room No. 188, North Block, New Delhi
Email Address
jscpg-mha@nic.in
Contact Number
23092392
3. MINHA/E/2020/00561
Date of Receipt
15/01/2020
Received By Ministry/Department
Home Affairs
https://en.wikipedia.org/wiki/National_Human_Rights_Commission_of_India
WE ASK PM MODI
ABOLISH ALL HUMAN RIGHTS ORGS IN INDIA.. THEY ARE ALL CONTROLLED BY THE JEWISH DEEP STATE AND THE --NATIONAL PRAYER BREAKFAST GROUP--..
FORM A NEW NHRC WHO ARE LOYAL TO THE WATAN . WE DONT CARE FOR WESTERN OPINION ON THIS..
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
REMEMBER-- OUR CONSTITUTION PROTECTS ONLY --LAW ABIDING-- INDIAN CITIZENS..
Current Status
Case closed
Date of Action
17/01/2020
Reason
Others
Remarks
Quoting from someone s blog does not constitute a grievance. This is personal view of blog writer.
Officer Concerns To
Officer Name
Saheli Ghosh Roy
Officer Designation
Joint Secretary C&IC
Contact Address
Room No. 188, North Block, New Delhi
Email Address
jscpg-mha@nic.in
Contact Number
23092392
4. MINHA/E/2020/00560
Date of Receipt
15/01/2020
Received By Ministry/Department
Home Affairs
HARDCORE URBAN NAXALS HAVE SELECTED CADRE TO GET --JOURNALIST LICENSE -- TO DO RABBLE ROUSING AND PUT POLICE AND ELECTED EXECUTIVE ON THE BACKFOOT.
ILLEGAL JUDICIARY IS IN CAHOOTS ..
FOREIGN FUNDED NGOs FILE PIL IMMEDIATELY AFTER A HEGELIAN DIALECIC FALSE FLAG INCIDENT..
...
...
THE ENTIRE MAIN STREAM MEDIA AND TV CONDONED THE ROASTING ALIVE OF 59 PEOPLE ( ALMOST ALL WOMEN AND CHILDREN ) ON 27TH FEB 2002-- SINCE THE PAST 17 YEARS .
WE WANT OUR USELESS AND ILLEGAL COLLEGIUM JUDICIARY TO BE DISMANTLED AND BUILD UP AGAIN..
Current Status
Case closed
Date of Action
17/01/2020
Reason
Others
Remarks
Quoting from someone s blog does not constitute a grievance. This is personal view of blog writer.
Officer Concerns To
Officer Name
Saheli Ghosh Roy
Officer Designation
Joint Secretary C&IC
Contact Address
Room No. 188, North Block, New Delhi
Email Address
jscpg-mha@nic.in
Contact Number
23092392
Captain Sir,
ReplyDeleteContinuing for the earlier grievances:
5. MINHA/E/2020/00555
Date of Receipt
15/01/2020
Received By Ministry/Department
Home Affairs
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
we the people who are above the constitution want illegal collegium judiciary to be disbanded..
njac still stands.. the judicial review striking down njac is unconstitutional and hence null and void..
we want the entire constitution to be revised, bearing in mind that we are in the modern age..
there are loopholes which the foreign payroll judges have been taking advantage of..
section 14 is for wee --internal rules withing judiciary--.. not majestic laws for the entire nation..
we the people will not allow artificial intelligence black box algorithms ( as cji bobde wants ) to hijack our constitution .. dharma is subjective.. not one single judge knows how to do root cause analysis..
Current Status
Case closed
Date of Action
17/01/2020
Reason
Others
Remarks
Quoting from someone s blog does not constitute a grievance. This is personal view of blog writer.
Officer Concerns To
Officer Name
Saheli Ghosh Roy
Officer Designation
Joint Secretary C&IC
Contact Address
Room No. 188, North Block, New Delhi
Email Address
jscpg-mha@nic.in
Contact Number
23092392
6. DPLNG/E/2020/00239
Date of Receipt
03/03/2020
Received By Ministry/Department
NITI Aayog
Regarding Torture/murder of IB officer Ankit Sharma by an illegal immigrant muslim immigrant mob led by AAP leader tahir hussain..
- Nothing will happen as traitor judiciary and MSM media are on the side of illegal immigrant muslims.
INDIAN COPS/ SECURITY AGENCIES HAVE NO PRIDE OR HONOR.
...
...
WE THE PEOPLE WATCH IN UTTER FRUSTRATION HOW ILLEGAL COLLEGIUM JUDICIARY IS TREATING "WE THE PEOPLE" AND THE CONSTITUTION IN CONTEMPT..
Current Status
Case closed
Date of Action
04/03/2020
Reason
Others
Remarks
Officer Concerns To
Officer Name
Shri Alok Kumar
Officer Designation
Adviser OMandC
Contact Address
Room No. 264, NITI Aayog, Sansad Marg, New Delhi
Email Address
alokkumar.up@nic.in
Contact Number
23096613
7. DMAFF/E/2020/00014
Date of Receipt
03/03/2020
Received By Ministry/Department
Military Affairs
Regarding Torture/murder of IB officer Ankit Sharma by an illegal immigrant muslim immigrant mob led by AAP leader tahir hussain..
- Nothing will happen as traitor judiciary and MSM media are on the side of illegal immigrant muslims.
INDIAN COPS/ SECURITY AGENCIES HAVE NO PRIDE OR HONOR.
...
...
WE THE PEOPLE WATCH IN UTTER FRUSTRATION HOW ILLEGAL COLLEGIUM JUDICIARY IS TREATING "WE THE PEOPLE" AND THE CONSTITUTION IN CONTEMPT..
Current Status
Grievance received
Date of Action
03/03/2020
Officer Concerns To
Forwarded to
Military Affairs
Officer Name
Mr Shantanu
Officer Designation
Joint Secretary
Contact Address
Email Address
shantanu97@nic.in
Contact Number
23013694
Captain,
ReplyDeleteHe has been exposed through several outlets by your readers based on a comment made by you. Some people are listening..
https://timesofindia.indiatimes.com/india/jet-ex-promoter-naresh-goyal-detained-by-ed-booked-for-laundering/articleshow/74483943.cms
https://asiatimes.com/2020/03/china-suppressed-covid-19-with-ai-and-big-data/
ReplyDeleteSOMEBODY ASKED ME-- CAPTAIN, WHAT IS BIG DATA?
AI HAS THE CAPABILITY OF WORKING ON ENORMOUS AMOUNTS OF DATA. THE DATA COLLECTED IS NOT JUST SIMPLE DATA BUT RATHER DATA THAT INCLUDES EVERY MINUTE DETAIL ABOUT AN EVENT OR TRANSACTION. THIS IS ALSO KNOWN AS “BIG DATA”.
BIG DATA IS A FIELD THAT TREATS WAYS TO ANALYZE, SYSTEMATICALLY EXTRACT INFORMATION FROM, OR OTHERWISE DEAL WITH DATA SETS THAT ARE TOO LARGE OR COMPLEX TO BE DEALT WITH BY TRADITIONAL DATA-PROCESSING APPLICATION SOFTWARE.
DATA WITH MANY CASES (ROWS) OFFER GREATER STATISTICAL POWER, WHILE DATA WITH HIGHER COMPLEXITY (MORE ATTRIBUTES OR COLUMNS) MAY LEAD TO A HIGHER FALSE DISCOVERY RATE.BIG DATA CHALLENGES INCLUDE CAPTURING DATA, DATA STORAGE, DATA ANALYSIS, SEARCH, SHARING, TRANSFER, VISUALIZATION, QUERYING, UPDATING,
INFORMATION PRIVACY AND DATA SOURCE. BIG DATA WAS ORIGINALLY ASSOCIATED WITH THREE KEY CONCEPTS: VOLUME, VARIETY, AND VELOCITY.
WHEN WE HANDLE BIG DATA, WE MAY NOT SAMPLE BUT SIMPLY OBSERVE AND TRACK WHAT HAPPENS. THEREFORE, BIG DATA OFTEN INCLUDES DATA WITH SIZES THAT EXCEED THE CAPACITY OF TRADITIONAL SOFTWARE TO PROCESS WITHIN AN ACCEPTABLE TIME AND VALUE.
KOSHER INSURANCE COMPANIES MANIPULATE BIG DATA TO LAUGH ALL THE WAY TO THE BANK..
ON AUG. 6, 2019, THE U.S. FOOD AND DRUG ADMINISTRATION (FDA) PUBLICLY REBUKED THE SWISS PHARMACEUTICAL COMPANY NOVARTIS FOR MANIPULATING DATA INVOLVING ITS $2.1 MILLION GENE THERAPY.
RESULTS ARE OFTEN DIFFICULT TO REPRODUCE ACCURATELY, BEING OBSCURED BY NOISE, ARTIFACTS, AND OTHER EXTRANEOUS DATA.
THAT MEANS THAT EVEN IF A SCIENTIST DOES FALSIFY DATA, THEY CAN EXPECT TO GET AWAY WITH IT – OR AT LEAST CLAIM INNOCENCE IF THEIR RESULTS CONFLICT WITH OTHERS IN THE SAME FIELD.
THERE ARE NO "SCIENTIFIC POLICE" WHO ARE TRAINED TO FIGHT SCIENTIFIC CRIMES; ALL INVESTIGATIONS ARE MADE BY EXPERTS IN SCIENCE BUT AMATEURS IN DEALING WITH CRIMINALS.
IT IS RELATIVELY EASY TO CHEAT ALTHOUGH DIFFICULT TO KNOW EXACTLY HOW MANY SCIENTISTS FABRICATE DATA
https://www.statnews.com/2019/10/29/data-falsification-still-problematic-china-india-generic-drug-plants/
FABRICATION IS MAKING UP RESULTS AND RECORDING OR REPORTING THEM. THIS IS SOMETIMES REFERRED TO AS "DRYLABBING". A MORE MINOR FORM OF FABRICATION IS WHERE REFERENCES ARE INCLUDED TO GIVE ARGUMENTS THE APPEARANCE OF WIDESPREAD ACCEPTANCE, BUT ARE ACTUALLY FAKE, OR DO NOT SUPPORT THE ARGUMENT.
FALSIFICATION IS MANIPULATING RESEARCH MATERIALS, EQUIPMENT, OR PROCESSES OR CHANGING OR OMITTING DATA OR RESULTS SUCH THAT THE RESEARCH IS NOT ACCURATELY REPRESENTED IN THE RESEARCH RECORD.
FOR CASES OF FABRICATED EVIDENCE, THE CONSEQUENCES CAN BE WIDE-RANGING, WITH OTHERS WORKING TO CONFIRM (OR REFUTE) THE FALSE FINDING, OR WITH RESEARCH AGENDAS BEING DISTORTED TO ADDRESS THE FRAUDULENT EVIDENCE.
THE PILTDOWN MAN / PEKING MAN/ LUCY FRAUDS ARE CASES IN POINT—TO PROVE THAT MAD MAN CHARLES DARWIN IS RIGHT.. EVEN GOOGLE PLAYED KOSHER BALL GIVING A DOODLE TO LUCY THE MISSING LINK..
EVIL PHARMA HIRES HIT MEN MERCENARIES TO KILL WHISTLE BLOWERS..
IN STATISTICS, A MISLEADING GRAPH, ALSO KNOWN AS A DISTORTED GRAPH, IS A GRAPH THAT MISREPRESENTS DATA, CONSTITUTING A MISUSE OF STATISTICS AND WITH THE RESULT THAT AN INCORRECT CONCLUSION MAY BE DERIVED FROM IT.
THERE IS A FOREIGN PAYROLL LOBBY IN INDIA TOSHOWCASE THAT INDIA IS A BEGGAR NATION ( UNDER MODI ) , WHEN INDIA IS THE ONLY ROARING ECONOMY ON THIS PLANET,, THE ONLY ONE WITH POTENTIAL.
CONTINUED TO 2-
CONTINUED FROM 1--
DeleteROTHSCHILDs RATING AGENCIES FITCH/ MOODYs / S7p ARE PART OF THIS CONSPIRACY..
MISLEADING GRAPHS MAY BE CREATED INTENTIONALLY TO HINDER THE PROPER INTERPRETATION OF DATA
THE FIELD OF DATA VISUALIZATION DESCRIBES WAYS TO PRESENT INFORMATION THAT AVOIDS CREATING MISLEADING GRAPHS. DATA VISUALIZATION IS THE GRAPHIC REPRESENTATION OF DATA.
ACCOUNTING FRAUD IS THE INTENTIONAL MANIPULATION OF FINANCIAL STATEMENTS TO CREATE A FALSE APPEARANCE OF CORPORATE FINANCIAL HEALTH.
THE ENRON SCANDAL IS ONE OF THE MOST FAMOUS EXAMPLES OF ACCOUNTING FRAUD IN HISTORY. WE STILL HAVE NOT PUNISHED ENRON.. THE CEO OF ENRON REBECCA MARKS USED TO COME TO INDIA IN MINISKIRT WITHOUT PANTIES AND FLASH HER BLONDE HAIRY TWAT AT MARATHA MANOOS POLITICIANS.
Read all 33 parts -
http://ajitvadakayil.blogspot.in/2017/02/shell-companies-for-money-laundering.html
FROM SHARAD PAWAR TO SURESH PRABHU, THE ENRON-DABHOL SAGA HAS INDEED TRAVELLED A LONG DISTANCE—KICKED UNDER THE KOSHER CARPET .
I EXPOSED ENRON AND THEIR INDIAN AGENTS— BUT HEY, MODI DISHED OUT PADMA VIBHUSHAN TO THE POINT MAN POLITICIAN. THIS IS THE SAD STORY OF INDIA...
capt ajit vadakayil
..
IF I WERE PM
ReplyDeleteTHE ITALIAN WAITRESS, HARDH MANDAR, BELGIAN JEAN DREZE ETC WOULD ALL BE IN JAIL, ALONG WITH FOREIGN PAYROLL JUDGES WHO ALLOW A FOREIGN WOMAN TO BECOME EMPRESS OF INDIA VIA NAC..
dear captain, tweets sent in response to the below thread http://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html?showComment=1583315844863#c4760862646085872626
ReplyDeletehttps://twitter.com/rakeshsivan/status/1235364448724017152
https://twitter.com/rakeshsivan/status/1235364019583635456
https://twitter.com/rakeshsivan/status/1235364072092098560
Pakistan or the Partition of India by B R Ambedkar. https://www.mea.gov.in/Images/attach/amb/Volume_08.pdf This is a great book written by Ambedkar must read, He exposes the centuries of muslim savagery in India. Islamic doctrines like Darul Harab, islam and slavery and many other facts few people know he wrote against Islam. All these illiterate anti CAA protestors always carry posters of Ambedkar without knowing what he has written on Islam. In this day and age if someone says what Ambedkar said 70 years ago, he would be labelled as an RSS agent. Lol, muslims are fools who cant look beyond what they read in Madrasas and what their clerics tell them. This book is an eye opener for every secular, liberal, and especially Dalits rambling muslim-dalit unity.
ReplyDeleteDear Ajit Sir,
ReplyDeletePlease put a post on Santana Dharma.
Make it a super duper post जिसको पढ़के we will drop our jaws out of awe & realisation will explode our consciousness to super Wisdom.
Sent mails about Supreme Court playing God and allowing Bitcoin trading, Captain.
ReplyDeleteYour Registration Number is : PMOPG/E/2020/0109723
Awaiting acknowledgement.
Regards,
Prapulla
Dear Ajit Sir,
ReplyDeleteModi is in "चने के झाड़ में"
Subramanian Swamy has tweeted that Modi is not available for meeting.
Means these people who are part of a team can't fix a schedule to hear each other.
Swamy wrote a letter & it's about protection of Hindus(चलता है इस मामले में MOSSAD Agent होने के बावजूद) bcoz meeting couldn't be scheduled & it has gone by a common friend of both Swamy & Modi, it has been a month.
बेईमान निकला यह Modi.
Took our votes, got a whooping 303 MP seats & enjoying his time between Delhi & SardarSarovar dam.
बस उतना ही उसका काम है
Disappointing
Captain,
ReplyDeleteThis fellow Rahul eshwar has become unbearable by subtly attacking Hinduism in the name of being neutral.i feel like killing this effimate looking asshole
WHO SENT THIS STUPID FELLOW TO LONDON TO BE TRAINED IN "WORLD LEADERSHIP?"
DeleteRahul Easwar creates an atmosphere of severe frustration.
DeleteAhhhhhh...that fellow puts "SHRI" as salutation to Imran Khan Niazi of Pakistan.
I have never seen such a pathetic turncoat who creeped inside for Hindus & still holds opinion building.
Easwar is called on TV debates.
This Easwar, Arnab Goswami, Syed Asad Abbas(from Banglore) frequent Prime Time debates & only speak Garbage.
Arnab Goswami is indeed a closet Commie along with Uber RICH Media Baron Rajeev Chandrasekhar.
That Assad Abbas will blow his lungs out.
Sometimes I feel that fellow's lungs will explode on the TV debate LIVE.
Horrible panelists.
Who becomes the owner of a sold product?
ReplyDeleteOfcourse the buyer ! He can do as he pleases with the purchased goods.
Why did the king sell his knowledge for gold? Was he in a pinch? Or altruistic reason?
THE ORIGINAL KORAN WRITTEN IN CHERAMAN PERUMAL MOSQUE KODUNGALLUR AFTER THE DEATH OF MOHAMMAD , WAS SOLD BY THE CALICUT KING TO KING MANSA MUSA OF MALI FOR A FORTUNE IN GOLD ..
DeleteTHIS IS THE MOST EXPENSIVE BOOK ON THE PLANET..
THIS ORIGINAL KORAN DOES NOT CONTAIN JESUS , MOSES , ADAM , ABRAHAM, SARA , NOAH, GABRIEL ETC -- FAKE CHARACTERS COOKED UP BY JEWESS HELENA IN 325 AD..
http://ajitvadakayil.blogspot.com/2019/09/istanbul-deep-seat-of-jewish-deep-state.html
THE ORIGINAL KORAN LIES IN A FOXHOLE UNDER THE DESERT SANDS OF TIMBUCTOO.
ROTHSCHILD USED THE FRENCH LEGION TO UNEARTH THIS PRICELESS BOOK, MORE THAN 20 TIMES -- NO SUCCESS.
http://ajitvadakayil.blogspot.com/2013/01/mansa-musa-king-of-mali-and-sri.html
KORAN AND HADITH HAS BEEN POISON INJECTED BY JEW ROTHSCHILD.. THIS IS WHY MUSLIMS KEEP BOMBING EACH OTHERs MOSQUES..
THIS IS WHY MOHAMMMADs FAMILY GRAVES ARE IN RUINS.. AND NOBODY CAN SEE THE DARGAH OF MOHAMMAD..
SOME DEVOUT MUSLIMS TRIED -- THEY WERE MURDERED BY THE JEWISH AL SAUD FAMILY, AND BURIED UNDER THE SANDS..
http://ajitvadakayil.blogspot.com/2015/05/lawrence-of-arabia-part-3-crypto-jewish.html
capt ajit vadakayil
..
Dear Capt Ajit sir,
Deletehttps://twitter.com/IwerePm/status/1235509689263067136?s=19
Dear Capt Ajit sir,
DeleteYou said that there was ancient trade between Mansu Musa of Mali, Timbuktu and Calicut king via Atlantic Ocean who was the richest man to ever live with a networth of over $ 400 Billion as stated in the below video at 5:47... https://www.youtube.com/watch?v=bySo8lauxIU
Why then no Keralite has gone back to search for the missing old original Koran buried in Timbuktu ? Are there not any instruments which can scan and detect this book from underground ?
Since you have given it out, it's high time someone finds this out sooner.....am sure there will be many venture capitalists who will fund this sort of project to go to Timbiktu for Koran hunting !!!!
https://www.quora.com/What-are-some-facts-from-the-Vedas-that-have-been-proven-by-science
ReplyDeleteCHECK OUT A MUSLIM FROM CALICUT RAZIMAN TV ( HE IS REALLY A JEW ) PRETENDING TO BE AN EXPERT OF VEDAS, UPANISHADS AND SANATANA DHARMA
HE SHOULD STICK TO HIS KORAN— WHICH TELLS HIM HOW TO SELL BAD DATES AND BUY GOOD DATES
QUORA GIVES HIM PRIDE OF PLACE , WHEN HE RUNS DOWN HIS OWN MOTHERLAND , OUR GLORIOUS HISTORY AND CULTURE
RAZIMAN TV SAYS HE IS A MAPPILA.. BEFORE ISLAM WAS BORN MAPPILAS WERE HINDUS... THEY WERE DESERT OVERLAND CAMEL TRANSPORTERS OF THE SPICES OF CALICUT KING..
TELL HIM TO READ THIS LINK BELOW , TO GET A WHIFF OF AMAZING SANATANA DHARMA..
SANATANA DHARMA IS ADVANCED QUANTUM PHYSICS..
http://ajitvadakayil.blogspot.com/2018/09/sanatana-dharma-hinduism-exhumed-and.html
I HAVE READ THE KORAN, AND I CAN DEBATE WITH ANY KORAN EXPERT / SCHOLAR , INCLUDING ZAKIR NAIK..
capt ajit vadakayil
..
SEND THE ABOVE COMMENT TO-
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PUT ABOVE AS A SCREEN SHOT ON QUORA
Your Registration Number is : PMOPG/E/2020/0110140
DeletePublished in Quora
Deletehttps://www.quora.com/What-are-some-facts-from-the-Vedas-that-have-been-proven-by-science/answer/Raziman-T-V/comment/130734666
Another superb masterpiece from d master of masters U r just God sent for us, disled/ wayward masses Hope u use d near perfect speech to text apps that exists today -so as to gv rest to ur over worked fingers while typing We don't want to lose ur enlightening (future) blogs May God Bless You n keep u in good health
ReplyDeleteNamaskar & Gratitude
Name Of Complainant
ReplyDeleteVardhan Talera
Date of Receipt
29/09/2019
Received By Ministry/Department
Home Affairs
Grievance Description
https://www.counterview.net/2019/01/ngt-imbroglio-downstream-people-to.html
THE SARDAR SAROVAR DAM ALWAYS NEGLECTED THE WATER NEEDS OF GUJARATI PEOPLE DOWN STREAM OF NARMADA RIVER..
AS A RESULT HOUSES WERE CONSTRUCTED CLOSER TO THE RIVER BANKS.
FOR MODIs BIRTHDAY SARDAR SAROVAR DAM RESERVOIR WAS OVERFILLED SO THAT HE CAN HAVE A GOD VIEW OF THE DAM AND ENJOY..
THIS CAUSED MASSIVE FLOODING UP STREAM OF NARAMADA RIVER , CAUSING DEATHS AND UNTOLD MISERY TO PEOPLE OF MADHYA PRADESH..
https://scroll.in/article/936966/as-sardar-sarovar-dam-inches-to-full-capacity-178-madhya-pradesh-villages-prepare-to-be-submerged
NOW THE SARDAR SAROVAR DAM CANNOT HOLD ANY MORE WATER, AND IS CONSTRAINED TO RELEASE DAM RESERVOIR WATER IN HUGE QUANTITIES..THE LIKES OF WHICH HAS NEVER EVER HAPPENED SINCE THE DAM WAS BUILT..
DEATHS DOWN STREAM IN GUJARAT ARE NOT BEING REPORTED.. THE MEDIA HAS BEEN SILENCED...
THE RIVER WATER CANNOT READILY DRAIN INTO THE GULF OF CAMBAY DUE TO TIDAL HIGH WATER SPRINGS..
https://ajitvadakayil.blogspot.com/2019/09/comments-overflow-for-inoperative-load_17.html
WE ASK -- IS INDIA A BANANA REPUBLIC
IS THERE NO ACCOUNTABILITY
WHY HAS PM MODI/ CM OF GUJARAT AND CM OF MADHYA PRADESH NOT MADE A STATEMENT
WHY IS ONLY MEDHA PATKAR CRYING
THE GUILTY DAM OFFICERS MUST BE JAILED..
WE WATCH..
capt ajit vadakayil
.........
Below is the reply
https://drive.google.com/open?id=1DRUs19A-L4fQSqzpsDH7_rgO4t07EbCN
BOYCOTT THIS HOMOSEXUAL MOVIE.. 99% OF HOMOSEXUALS ARE PEDOPHILES..
ReplyDeleteTHEY THINK LUST IS LOVE..
https://www.india.com/showbiz/shubh-mangal-zyada-saavdhan-box-office-colletion-day-13-ayushmann-khurranas-film-is-going-slow-earns-rs-57-99-crores-3961861/
BOYCOTT THIS MOVIE THAPPAD MADE BY CULTURAL TERRORISTS
https://www.policeresults.com/thappad-box-office-collection/
https://timesofindia.indiatimes.com/business/india-business/tax-officials-threaten-to-cut-workload-in-protest-over-working-conditions/articleshow/74486773.cms
ReplyDeleteIT IS TIME TO GET RID OF THESE TAPEWORMS IN BHARATMATAs STOMACH
http://ajitvadakayil.blogspot.com/2014/11/abolish-income-tax-in-india-have.html
These are the selective reasons we are supporting Mossad agent Swamy.
DeleteSometimes I feel, Swamy has lost his capacity to differentiate what to prefer for himself to catapult him back to apex & what he needs to do to please his Rothschild masters.
In one tweet, some months back, Swamy was handcuffed to speak against Rothschild to which Swamy said he was the one to get rid of those Rothschild who were getting greedy with 2G spectrum.
Ajit Sir, I didn't understand the above.
What does Swamy mean by that...?
https://www.quora.com/What-are-some-facts-from-the-Vedas-that-have-been-proven-by-science/answer/Prashant-Jani-17?prompt_topic_bio=1
ReplyDeletehttps://twitter.com/prashantjani777/status/1235539784782749697
https://twitter.com/prashantjani777/status/1235540133610426368
https://twitter.com/prashantjani777/status/1235540378973061121
https://twitter.com/prashantjani777/status/1235540555096117249
https://twitter.com/prashantjani777/status/1235541926377426950
Your Registration Number is : PMOPG/E/2020/0110389
ReplyDeletesubject--- supereme court allows crypto currency trading ..
Asked for an ack too Also spread on whatsap
Govt has restricted Yes Bank from making any payment to any depositor beyond Rs50,000/- (all accounts combined). This is applicable from March5, 2020 to April 3, 2020.
ReplyDeleteAny amounts above this can be allowed only for following purposes with special permission from RBI:
1) Medical emergency
2) payment for foreign education for a dependent
3) marriage in the family.
Dear Capt Ajit sir,
ReplyDeletePls bring this company Huobo to be booked and cases filed...
They are on twitter and say you can buy BTC on Huobi OTC! IMPS, UPI, Paytm & Credit Cards accepted!
https://twitter.com/HuobiGlobal/status/1232959362785693696
Dear Capt Ajit sir,
ReplyDeleteNow we have safe homes for love jihad couples...what a way to destroy Danava civilization of Kerala, which has remained harmonious inspite of multiple experiments.
https://www.thenewsminute.com/article/kerala-open-safe-homes-inter-caste-couples-119597
Dear Capt Ajit sir,
ReplyDeleteNewsX has flashed that Govt issues moratorium on Yes Bank, applicable NOW from 5 Mar to 3 April 2020...depositors can't withdraw more than Rs 50000/- .
What's going on....banking sector is losing faith of clients now.
Only judges are sacred , politicians, police, IB can be abused threatened killed etc.
ReplyDeleteMelords are a cut above the rest.
SOMEBODY ASKED ME
ReplyDeleteWHY ARE YOU SO SURE THAT HITLER WAS A JEW
WELL-- REAL SECRETS WILL BE REVEALED ONLY AFTER 97% SEGMENT.. RIGHT NOW MY REVELATIONS ARE IN THE 60% SEGMENT
YOU HAVE NO IDEA HOW JEW HITLER SCREWED THE GERMAN CHRISTIANS IN HIS ARMY
NOBODY HAS REVEALED HOW MANY GERMAN CHRISTIAN SOLDIERS FROZE TO DEATH, BECAUSE THEY WERE NOT ISSUED WINTER CLOTHING..
https://en.wikipedia.org/wiki/Operation_Barbarossa
DURING WINTER THE LUB OIL AND WATER RADIATORS OF GERMAN TANKS FROZE.. AFTER THE WINTER WAS OVER THESE HUGE AND POWERFUL TANKS GOT CAUGHT IN THE SLUSH MUD..
THE REAL TRUTHS OF WW2 HAS NOT BEEN TOLD
ONLY CAPT AJIT VADAKAYIL HAS THE PERCEPTION TO EXHUME WW2 TRUTHS..
http://ajitvadakayil.blogspot.com/2015/10/if-zionist-jews-created-isis-who.html
JEWISH HISTORIANS HID THE FACT THAT INDIAN SOLDIERS AND THEIR MULES WERE SACRIFICED AT DUNKIRK SO THAT THE WHITE COWARDS UNDER JEW CHURCHILL CAN ESCAPE..
EVERY PHOTO AND VIDEO WHICH SHOWS INDIAN SOLDIERS HOLDING THE FORT , HAS BEEN DESTROYED.. THEY JUST SHOWED FEW MULES OUT OF THE 4100 INDIAN MULES WITH SOME WHITE SOLDIERS
http://ajitvadakayil.blogspot.com/2017/07/dunkirk-christopher-nolan-2017-movie.html
WHEN THESE BASTARDS CELEBRATE THE SUCCESS OF THE DUNKIRK EVACUATION ( JEW HITLER ALLOWED IT ) THEY COMPLETELY IGNORE THE INDIAN SOLDIERS WHO ALLOWED IT TO HAPPENS BY LAYING MINES AT CALAIS TO THWART THE GERMANS..
THE ROTHSCHILD HISTORIANS DO NOT MENTION THE ROLE OF INDIAN LASCARS WHO MANNED THE SMALL SHIPS WHICH EVACUATED THE WHITE SOLDIERS..
ONE INDIAN SERANG ( BOSUN ) TOLD ME THE STORY.. HE WAS THERE AT DUNKIRK--
HE RETIRED ON MY SHIP AND WHEN HE WAS CLIMBING DOWN THE SHIPs GANGWAY WAS SINGING A SONG IN GUJARATI.
I GUESS HE WAS HAPPY TO BE IN ONCE PIECE AT THE AGE OF 60. HE JOINED SEA AT THE AGE OF 14..
http://ajitvadakayil.blogspot.com/2010/05/lascar-original-indian-merchant-navy.html
ROTHSCHILDs AGENT GANDHI ( APOSTLE OF PEACE ) AND BR AMBEDKAR RECRUITED SOLDIERS FOR WW2 ..
http://ajitvadakayil.blogspot.com/2013/02/the-indian-navy-mutiny-of-1946-only-war.html
WE THOUGHT MODI WILL RE-WRITE FALSE HISTORY NCERT BOOKS.. BUT THIS PATHETIC GUJARATI FELLOW IS A SLAVE TO JEW ROTHSCHILD..
IN MANY WAYS GUJJU NO 2 MODI IS WORSE THAT GUJJU NO 1 GANDHI
http://ajitvadakayil.blogspot.com/2011/11/general-eisenhowers-secret-holocaust-of.html
CAPT AJIT VADAKAYIL WILL WRITE MODIs LEGACY=== NOT HIS JEWISH MASTERS.
capt ajit vadakayil
..
SOMEBODY ASKED ME
DeleteCAPTAIN
HOW DO YOU KNOW THE RUSSIAN WINTER DEFEATED OPERATION BARBAROSSA-- AND THAT CHRISTIAN GERMAN SOLDIERS WERE SENT TO THEIR DEATH DELIBERATELY BY JEW HITLER..
https://en.wikipedia.org/wiki/Operation_Barbarossa
http://ajitvadakayil.blogspot.com/2015/10/if-zionist-jews-created-isis-who.html
WELL I AM NOT ONE OF THOSE HISTORIANS WHO WROTE ABOUT CLIMBING THE EVEREST WITHOUT EVER SEEING THE MOUNTAIN..
I AM THE CONDOR WHO HAS EXPERIENCED IT ALL..
I HAVE FACED WORSE ICE THAT WHAT ANY GERMAN WOULD HAVE FACED IN THE RUSSIAN WINTER -- TRYING TO TAKE OVER LENINGRAD AND MOSCOW..
GERMAN SHOULD HAVE SET OUT TO CONQUER MOSCOW FROM GERMANY TWO MONTHS IN ADVANCE IN APRIL 1941 ...
I AM RESPONSIBLE ( DESPITE BEING FROM A TROPICAL PLACE ) MANY CRITICAL FREEZING WEATHER PRECAUTIONS AT SEA..
http://ajitvadakayil.blogspot.com/2011/01/freezing-weather-precautions-on.html
THINKING IS THE MOST DIFFICULT TASK TO DO , RIGHT?
http://ajitvadakayil.blogspot.com/2011/02/naive-sailor-weather-routing-capt-ajit.html
SHIPS SANK AT SEA AND NOBODY CARED.. RATHER THEY DID NOT KNOW WHAT THE FUCK HAPPENED..
http://ajitvadakayil.blogspot.com/2011/01/naive-sailor-sinking-ships-capt-ajit.html
DEAD MEN TELL NO TALES.. GERMAN ARMORED DIVISIONS DID NOT EVEN HAVE THE FUEL TO RETREAT FROM RUSSIA .. PARTISANS SENT BY STALIN BLEW UP THEIR FUEL DEPOTS..
HORRIBLE LACK OF PLANNING.. GERMAN SOLDIERS DID NOT HAVE SNOW BOOTS OR WINTER CLOTHING
RUSSIA WILL COLLAPSE SAID JEW HITLER-- MY ASS.
NONE OF THE GERMAN TANKS/ TRUCK HAD WINTERIZED EQUIPMENT.. MINES DONT WORK IN WINTER..
GERMAN HAD NO SKIS AND WERE FOOT SLOGGING IN KNEE DEEP SNOW.. MOST BECAME PARTIALLY BLIND AS THEY HAD NO SNOW GLARE GOGGLES..
THE GREATEST CAUSALITY WAS THE FALL OF MORALE OF THE GERMAN ARMY WHO WERE ALWAYS ON A HIGH..
JEW HITLER CONCEIVED LEBENSRAUM TO SCREW HIS OWN NATION GERMANY ( HITLER RAN AWAY TO ARGENTINA ) ..
ROTHSCHILD HAD A SUPER SPY JEW RICHARD SORGE IN JAPAN, WHO ENSURED THAT JAPAN WOULD NOT ATTACK RUSSIA FROM THE EAST – AND ALL WELL CLAD EASTERN SIBERIAN TROOPS ( 18 ELITE DIVISIONS ) WERE RELOCATED TO SAVE MOSCOW..
http://ajitvadakayil.blogspot.com/2012/10/the-lie-of-pearl-harbour-revealed-capt.html
BY NOV 1941 GERMAN TANKS AND TRUCKS SANK UPTO THEIR AXLES IN SOFT MUD.
RUSSIAN T-34 TANKS HAD WIDE TRACKS WHICH COULD NAVIGATE IN SOFT MUD AND THEIR ARMOUR WAS IMPENETRABLE ( BETTER METALLURGY )
JEW HITLER KNEW THAT RUSSIAN RAIL TRACKS ARE WIDER THAN THE GERMAN ONES-- AND HENCE NO REINFORCEMENTS WOULD BE SENT BY TRAIN..LOGISTICS WAS DEAD.. WHEN RUSSIANS FELL BACK, THEY DID SO TO THEIR SUPPLY BASES..
GERMANS REACHED 11 MILES OFF MOSCOW TO FIND THAT WOMEN AND CHILDREN HAD DUG DEEP MOATS WITH SPADE..
ALL THIS IS KEPT A GREAT SECRET..
Capt ajit vadakayil
..
SEND ABOVE TWO COMMENTS TO-
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DEFENCE MINISTRY
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CDS
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ALL MILITARY TRAINING ACADEMY DEANS
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ALSO SEND TO--
TRUMP
PUTIN
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AMBASSADOR TO FROM ABOVE NATIONS
EXTERNAL AFFAIRS MINISTER/ MINISTRY
Ajit Sir,
DeleteRussian Handles operating on Twitter are cowards.
They operate without identity but have good international followers.
They are pro-active but are apprehensive about Jews.
Everyone is scared of Jews.
After I bombarded a good handle with Muhammad Kemal Ataturk being a Jew & even put a picture of Ataturk glorified in TIME magazine "How a Jew took over Turkey", that fellow didnot reply as it will pull attention but after some hours BLOCKED ME.
That handle is a part of Spy of Russian govt for sure.
I asked him that Moscow shouldn't sell S-400 to Turkey to which his reply was that Moscow also has to look for Business opportunities.
Few months ago, a young Russian traveller of age 29 years was touring India & Odisha was on his list.
I was there near Lingaraj Temple & he asked me how to get inside.
I mentioned that Caucasian are not allowed but took him to an elevated platform from where one can see the inside of Temple & take pics.
I tricked him & got so many informations.
What he was reluctant to say but finally pronounced is that STALIN was a JEW.
Russians don't openly criticise Jews or take an open stand against Israel.
And Ajit Sir, your information about LASCARS will give a good script for an Indian Producer to make a movie but will for sure have spins.
"Thugs of Hindostan" picked from you was meant to give INDIANS a bad name, you mothballed it.
Lol...!!!
https://twitter.com/Sashwatdharma/status/1235773358932926465 - presidents, embassies
DeleteTweeted &
Emailed to all dgps.
Sent to Putin.
DeleteMailed to-
38ashokroad@gmail.com
rmo@mod.nic.in
webmaster.indianarmy@nic.in
pronavy.dprmod@nic.in
proiaf.dprmod@nic.in
info@nibindia.in
contact@amitshah.co.in
amitabh.kant@nic.in
vch-niti@gov.in
narendramodi1234@gmail.com
We are trying to spread it in twitter an in our family friends
DeleteMandar
Capt, Ayatollah Ali Khamenei today tweeted about how Indian Muslims are in danger and "extremist" hindus must be confronted. Sad to see a trusted ally suddenly acting hostile. But then this isn't the first time. Ayatollah Khomiemini had commented few years ago how "oppressed" muslims are in Kashmir. If this continues, Iran will lose a close friend and ally.
ReplyDeleteDear Sir,
ReplyDeleteSent to pmo
https://drive.google.com/drive/folders/1SbtuhlPHl-U1OFPrS9k5ARr3xAZNqX97?usp=sharing
(hoping for a backswing from you)
Regards
Div
China is busy selling dual use equipment to Pakistan for its missiles.
ReplyDeleteThere will never be a Hindi Chini bhai bhai.
https://timesofindia.indiatimes.com/india/irans-ayatollah-khamenei-slams-india-for-delhi-riots/articleshow/74502299.cms
ReplyDeleteWARN IRAN..
INDIA IS THE ONLY MORAL NATION ON THIS PLANET....
THIS BELLIGERENT STANCE OF IRAN AGAINST INDIA , WILL COST THEM DEAR..
AS A RETALIATION, CUT DOWN OIL IMPORTS FROM IRAN TO ZERO.. LET IRAN REMAIN A ISLAMIC PARIAH NATION..
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF
PMO
PM MODI
EXTERNAL AFFAIRS MINISTER/ MINISTRY
Iran seems to have rattled by the grand reception accorded to trump during his visit to india.
Deletehttps://twitter.com/rakeshsivan/status/1235801549978226689
Deletehttps://twitter.com/prashantjani777/status/1235919609192214528
DeleteYour Registration Number is : PMOPG/E/2020/0111792
Deletehttps://www.thehindu.com/news/national/covid-19-rajya-sabha-erupts-on-cow-urine-claims/article30993771.ece
ReplyDeleteWhy these people dont say that nano gold colloids in vedic indian humped cow can invade virus?
Additions to the list of oxymorons
ReplyDeleteFriendly Chinese govt.
Moderate muslims
Efficient judiciary ....
https://timesofindia.indiatimes.com/blogs/toi-edit-page/caa-is-necessary-why-the-many-arguments-about-its-being-unconstitutional-dont-hold-water/
ReplyDeleteHarish Salve.....
...."the fact that certain ideologies which are but dust on the bookshelves of political history in the countries of their origin continue to be romanced by intellectuals, some of whom dominate civil society and civil discourse. All this creates a fertile ground for protests and aggressive debates – and when it comes to romanticising such movements, perhaps the feeling is why let the truth spoil a good story!"
Are lawyers this verbose....
WE THE PEOPLE DEMAND THIS FROM MODI/ AMIT SHAH
ReplyDeleteNAME AND SHAME THE RIOTERS ..
DISPLAY THEIR FACES AND NAMES AT EVERY STREET CORNER..
THIS WILL BE A IRON CLAD DETERRENT ..
NO NATION ON THIS PLANET ALLOWS POLICE TO BE SHOT AT BY RIOTERS..
WE DONT NEED ANY JAANKAARI FROM IRAN AS TO HOW TO TREAT INDIAN MUSLIMS..
NOT ONE INDIAN MUSLIM WANTS TO GO TO PAKISTAN..THERE ARE MORE MUSLIMS IN INDIA THAN IN PAKISTAN..
CENSURE RABBLE ROUSERS LIKE HARSH MANDAR, TEESTA SETALVAD, RANA AYYUB, SWARA BHASKAR, NIDHI RAZDAN, BARKHA DUTT, SIDDHARTH VARADARAJAN ETC
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF--
PMO
PM MODI
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DGPs OF ALL STATES
Sent to-
Deleteamitshah.mp@sansad.nic.in
alokmittal.nia@gov.in
info@nibindia.in
jscpg-mha@nic.in
Also had sent the above comment on iran to mea
https://twitter.com/rakeshsivan/status/1235797755127189504
DeleteYogi has done it in UP.
Deletehttps://twitter.com/prashantjani777/status/1235905863472345088
Deletehttps://twitter.com/prashantjani777/status/1235906805982691328
https://twitter.com/prashantjani777/status/1235907723407036422
Your Registration Number is : PMOPG/E/2020/0111791
DeleteNamaste captain,
DeleteMail sent to following addresses :
amitshah.mp@sansad.nic.in
alokmittal.nia@gov.in
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info.nia@gov.in
information@cbi.gov.in
ed-del-rev@nic.in
Thanks ,
Hemanth
Looks like Yogi Adityanath has implemented naming and shaming the rioters, Captain.
ReplyDeletehttps://news.google.com/articles/CAIiEMpVdwDCGu3-IIBf_asPzf8qGQgEKhAIACoHCAow5qqNCzD4q58DMPbXpwY?hl=en-IN&gl=IN&ceid=IN%3Aen
Brawl erupts in Turkish parliament - https://www.youtube.com/watch?v=GoHQtkG6HFE
ReplyDeleteCrass Rustic people these Turks are. Their MPs fighting like street hooligans right in the parliament.
It is very likely in the near future the GOI may have to undo what Curzon did to Bengal.
ReplyDeleteDear Capt Ajit sir,
ReplyDeleteHarsh Mandar is a member of Italian API's (Ara Pacis Initiative) council for Dignity, Forgiveness, Justice and Reconciliation...connected to Italian govt and Italian secret service, helping west to achieve foreign policy goals.
https://www.opindia.com/2020/03/harsh-mander-ara-pacis-initiative-italian-govt-secret-service-foriegn-policy-india/
Dear Capt Ajit sir,
ReplyDeletehttps://twitter.com/IwerePm/status/1235826791425560578?s=19
Name Of Complainant
ReplyDeleteVardhan Talera
Date of Receipt
04/03/2020
Received By Ministry/Department
Prime Ministers Office
Grievance Description
WE THE PEOPLE WANT TO KNOW
WHY IS HARSH MANDER THE PET OF THE ITALIAN MAINO JEWESS NOT IN JAIL?
WE HE PEOPLE DEMAND A PROBE INTO THE ANTI-NATIONAL AND ANTI-HINDU ACTIVITIES OF HARSH MANDAR WHEN HE WAS MEMBER OF NAC..
WHAT IS THSI FELLOW CONNECTION WITH THE COMMIE PROFESSORS OF BERKELEY UC? WHAT ARE THE SOURCES OF HIS INDIAN AND FOREIGN FUNDS?
WE WANT HARSH MANDAR TO BE SACKED FROM ALL TEACHING POSITIONS IN INDIA..
I HAVE READ SOME OF HIS BOOKS.. TOTAL NONSENSE.. IS THIS FELLOW SANE ?
WE WANT HIS ROLE IN THE ANTI-HINDU CVB FOISTED BY NAC TO BE PROBED..
HARSH MANDAR IS GUILTY OF INCITING MOBS IN DELHI.. HE HAS HIS SUPPORTERS AMONG FOREIGN FUNDED SUPREME COURT JUDGES..
https://www.opindia.com/2020/03/harsh-mander-secularism-ayodhya-supreme-court-caa-nrc-mob-violence-viral-video/
READ BOTH PARTS OF THE POST BELOW--
https://ajitvadakayil.blogspot.com/2019/12/how-italian-waitress-became-empress-of.html
capt ajit vadakayil
..
Current Status
Case closed
Date of Action
06/03/2020
Reason
Others
Remarks
sent to the concerned
Captain,
ReplyDeleteYou have always warned about private banks and insurance companies going from toehold to foothold in india.No one paid heed.Now the private bank yes bank went bankrupt and the rbi says that sbi will bail out that bank. So public sector bank now will bail out the private entity.In the recent budget gradual privatization is LIC is announced.What are our ministries worth who dont take the priceless suggestions you make in the interest of the nation?
Dear Capt Ajit sir,
ReplyDeleteHow can we find how many Electoral bonds YES Bank Management donated to BJP ? Infact, can we get the electoral bonds issued data from all banks be made transparent and that gives a clue of the coverup from RBI and Govt of the day is concerned.
JEW GEORGE SOROS IS A WEE AGENT OF JEW ROTHSCHILD WHO RULED INDIA...
ReplyDeleteJEW GEORGE SOROS IS BEING USED BY THE JEWISH DEEP STATE TO MAKE INDIA IMPLODE FROM WITHIN..
THE WHITE JEW KNOWS THAN IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER AND IT PLANS TO MAKE INDIA IMPLODE FROM WITHIN..
HARSH MANDER WHO TRIGGERED THE DELHI ANTI-CAA MUSLIM RIGHTS RIOTS IS AN AGENT OF JEW SOROS WHO HAS DONATED ONE BILLION USD TO FIGHT HINDUS AND CREATE DISCORD IN INDIA....
https://www.opensocietyfoundations.org/who-we-are/boards/human-rights-initiative-advisory-board
HARDH MANDAR IS A BOARD MEMBER OF OPEN SOCIETY FOUNDATIONS -- A JEWISH DEEP STATE ORGANISATION LED BY GEORGE SOROS ..
https://www.opindia.com/2020/01/george-soros-1-billion-dollar-fight-nationalists-pm-modi-usa-china-russia/
ONE BILLION USD DONATION BY GEORGE SOROS TO CREATE ANTI-HINDU SENTIMENTS IN INDIA IS THE TIP OF THE ICEBERG.. AS GEORGE SOROS HAS ALREADY DONATED 32 BILLION TO OPEN SOCIETY FOUNDATIONS..
https://www.opensocietyfoundations.org/george-soros
WE ASK AJIT DOVAL.. AS NSA WHAT IS YOUR JOB?.. IS IT TO GO AROUND CONSOLING MUSLIMS AFTER CAA DELHI RIOTS ?..
MANY INDIAN JOURNALISTS , COLLEGIUM JUDGES , PROFESSORS OF SOCIAL SCIENCES IN ELITE INDIAN COLLEGES ARE IN DEEP STATE PAYROLL.
WHY IS HARDH MANDAR NOT IN JAIL ?..
WHY HAS JUDICIARY LEGALIZED BITCOIN WHICH IS USED TO FUND ISLAMIC MERCENARIES IN KASHMIR AND DESH DROHIS IN INDIA?...
HARSH MANDER WHO IS SPONSORED BY LIBERAL INDIAN JUDGES IS THE CHAIRMAN OF GEORGE SOROS’S OPEN SOCIETY FOUNDATION’S HUMAN RIGHTS INITIATIVE ADVISORY BOARD..
WE WANT THIS FOREIGN FUNDED DESH DROHI ORG KARWAN E MOHABBAT TO BE PROFILED..
MODI IS NAIVE TO BELIEVE THAT JEWS WHO SPONSORED HIM WITH A SIKH TURBAN IN 1976, IS ON HIS SIDE.. WE ASK MODI TO WORK FOR BHARATMATA NOT HIS JEWISHBMASTERS ..
WE WATCH..
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF--
DeleteHARSH MANDAR
EXTERNAL MINISTER/ MINISTRY
TRUMP
PUTIN
AMBASSADORS TO FROM USA/ RUSSIA
PMO
PM MODI
AJIT DOVAL
RAW
IB
NIA
ED
CBI
AMIT SHAH
HOME MINISTRY
DEFENCE MINISTER/ MINISTRY
ALL 3 ARMED FORCE CHIEFS
CDS
DAVID FRAWLEY
STEPHEN KNAPP
WILLIAM DALRYMPLE
KONRAED ELST
FRANCOIS GAUTIER
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ATTORNEY GENERAL
ALL SUPREME COURT JUDGES
ALL SUPREME COURT LAWYERS
LAW MINISTER/ MINISTRY CENTRE AND STATE
ALL HIGH COURT CHIEF JUSTICES
ALL MPs OF INDIA
ALL MLAs OF INDIA
CMs OF ALL INDIAN STATES
DGPs OF ALL STATES
GOVERNORS OF ALL STATES
PRESIDENT OF INDIA
VP OF INDIA
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NITI AYOG
AMITABH KANT
NCERT
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NALIN KOHLI
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SAMBIT PATRA
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VIVEK AGNIHOTRI
KIRON KHER
MEENAKSHI LEKHI
SMRITI IRANI
PRASOON JOSHI
MADHUR BHANDARKAR
SWAPAN DASGUPTA
SONAL MANSINGH
MADHU KISHWAR
SUDHIR CHAUDHARY
GEN GD BAKSHI
RSN SINGH
E SREEDHARAN
MOHANLAL
SURESH GOPI
CHANDAN MITRA
RAHUL EASWWAR
TOM VADAKKAN
E SREEDHARAN
PC GEORGE MLA
SRIDHARAN PILLAI
PARASARAN
SAI DEEPAK
VIDYASAGAR GURUMURTHY
RAJEEV CHANDRASHEKAR
MOHANDAS PAI
CLOSET COMMIE ARNAB GOSWMI
RAJDEEP SARDESAI
BARKHA DUTT
NAVIKA KUMAR
ZAKKA JACOB
ANAND NARASIMHAN
FAYE DSOUZA
BARKHA DUTT
SHEKHAR GUPTA
PRANNOY JAMES ROY
AROON PURIE
VINEET JAIN
RAGHAV BAHL
SIDHARTH VARADARAJAN
N RAM
KAMALAHASSAN
ALPESH THAKORE
CHANDRASEKHAR OF BHIM ARMY
TEESTA SETALVAD
KAVITA KRISHNAN
SHUBHA MUDGAL
NALINI SINGH
DILIP CHERIAN
SUMEET CHOPRA
DINESH VARSHNEY
VC OF JNU
VC OF DU/ JU/ TISS
DEAN OF FTII
KANCHA ILAIH
BRINDA KARAT
PRAKASH KARAT
SITARAM YECHURY
MANI SHANKAR AIYERAN
ROMILA THAPAR
IRFAN HABIB
NIVEDITA MENON
AYESHA KIDWAI
DANIEL RAJA
KARAN THAPAR
SHOBHAA DE
ARUNDHATI ROY
SHASHI THAROOR
SPREAD ON SOCIAL MEDIA
JEW GEORGE SOROS IS A WEE AGENT OF JEW ROTHSCHILD WHO RULED INDIA...
ReplyDeleteJEW GEORGE SOROS IS BEING USED BY THE JEWISH DEEP STATE TO MAKE INDIA IMPLODE FROM WITHIN..
THE WHITE JEW KNOWS THAN IN 13 YEARS INDIA WILL BE THIS PLANETs NO 1 SUPERPOWER AND IT PLANS TO MAKE INDIA IMPLODE FROM WITHIN..
HARSH MANDER WHO TRIGGERED THE DELHI ANTI-CAA MUSLIM RIGHTS RIOTS IS AN AGENT OF JEW SOROS WHO HAS DONATED ONE BILLION USD TO FIGHT HINDUS AND CREATE DISCORD IN INDIA....
https://www.opensocietyfoundations.org/who-we-are/boards/human-rights-initiative-advisory-board
HARDH MANDAR IS A BOARD MEMBER OF OPEN SOCIETY FOUNDATIONS -- A JEWISH DEEP STATE ORGANISATION LED BY GEORGE SOROS ..
https://www.opindia.com/2020/01/george-soros-1-billion-dollar-fight-nationalists-pm-modi-usa-china-russia/
ONE BILLION USD DONATION BY GEORGE SOROS TO CREATE ANTI-HINDU SENTIMENTS IN INDIA IS THE TIP OF THE ICEBERG.. AS GEORGE SOROS HAS ALREADY DONATED 32 BILLION TO OPEN SOCIETY FOUNDATIONS..
https://www.opensocietyfoundations.org/george-soros
WE ASK AJIT DOVAL.. AS NSA WHAT IS YOUR JOB?.. IS IT TO GO AROUND CONSOLING MUSLIMS AFTER CAA DELHI RIOTS ?..
MANY INDIAN JOURNALISTS , COLLEGIUM JUDGES , PROFESSORS OF SOCIAL SCIENCES IN ELITE INDIAN COLLEGES ARE IN DEEP STATE PAYROLL.
WHY IS HARDH MANDAR NOT IN JAIL ?..
WHY HAS JUDICIARY LEGALIZED BITCOIN WHICH IS USED TO FUND ISLAMIC MERCENARIES IN KASHMIR AND DESH DROHIS IN INDIA?...
HARSH MANDER WHO IS SPONSORED BY LIBERAL INDIAN JUDGES IS THE CHAIRMAN OF GEORGE SOROS’S OPEN SOCIETY FOUNDATION’S HUMAN RIGHTS INITIATIVE ADVISORY BOARD..
WE WANT THIS FOREIGN FUNDED DESH DROHI ORG KARWAN E MOHABBAT TO BE PROFILED..
MODI IS NAIVE TO BELIEVE THAT JEWS WHO SPONSORED HIM WITH A SIKH TURBAN IN 1976, IS ON HIS SIDE.. WE ASK MODI TO WORK FOR BHARATMATA NOT HIS JEWISH MASTERS ..
WE WATCH..
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
capt ajit vadakayil
..
PUT ABOVE COMMENT IN WEBSITES OF--
DeleteHARSH MANDAR
EXTERNAL MINISTER/ MINISTRY
TRUMP
PUTIN
AMBASSADORS TO FROM USA/ RUSSIA
PMO
PM MODI
AJIT DOVAL
RAW
IB
NIA
ED
CBI
AMIT SHAH
HOME MINISTRY
DEFENCE MINISTER/ MINISTRY
ALL 3 ARMED FORCE CHIEFS
CDS
FINANCE MINISTER/ MINISTRY
DAVID FRAWLEY
STEPHEN KNAPP
WILLIAM DALRYMPLE
KONRAED ELST
FRANCOIS GAUTIER
CJI BOBDE
ATTORNEY GENERAL
ALL SUPREME COURT JUDGES
ALL SUPREME COURT LAWYERS
LAW MINISTER/ MINISTRY CENTRE AND STATE
ALL HIGH COURT CHIEF JUSTICES
ALL MPs OF INDIA
ALL MLAs OF INDIA
CMs OF ALL INDIAN STATES
DGPs OF ALL STATES
GOVERNORS OF ALL STATES
PRESIDENT OF INDIA
VP OF INDIA
SPEAKER LOK SABHA
SPEAKER RAJYA SABHA
NITI AYOG
AMITABH KANT
NCERT
EDUCATION MINISTER/ MINISTRY
NALIN KOHLI
GVL NARASIMHA RAO
SAMBIT PATRA
VIVEK OBEROI
GAUTAM GAMBHIR
ASHOK PANDIT
ANUPAM KHER
KANGANA RANAUT
VIVEK AGNIHOTRI
KIRON KHER
MEENAKSHI LEKHI
SMRITI IRANI
PRASOON JOSHI
MADHUR BHANDARKAR
SWAPAN DASGUPTA
SONAL MANSINGH
MADHU KISHWAR
SUDHIR CHAUDHARY
GEN GD BAKSHI
RSN SINGH
E SREEDHARAN
MOHANLAL
SURESH GOPI
CHANDAN MITRA
RAHUL EASWWAR
TOM VADAKKAN
E SREEDHARAN
PC GEORGE MLA
SRIDHARAN PILLAI
PARASARAN
SAI DEEPAK
VIDYASAGAR GURUMURTHY
RAJEEV CHANDRASHEKAR
MOHANDAS PAI
CLOSET COMMIE ARNAB GOSWMI
RAJDEEP SARDESAI
BARKHA DUTT
NAVIKA KUMAR
ZAKKA JACOB
ANAND NARASIMHAN
FAYE DSOUZA
BARKHA DUTT
SHEKHAR GUPTA
PRANNOY JAMES ROY
AROON PURIE
VINEET JAIN
RAGHAV BAHL
SIDHARTH VARADARAJAN
N RAM
KAMALAHASSAN
ALPESH THAKORE
CHANDRASEKHAR OF BHIM ARMY
TEESTA SETALVAD
KAVITA KRISHNAN
SHUBHA MUDGAL
NALINI SINGH
DILIP CHERIAN
SUMEET CHOPRA
DINESH VARSHNEY
VC OF JNU
VC OF DU/ JU/ TISS
DEAN OF FTII
KANCHA ILAIH
BRINDA KARAT
PRAKASH KARAT
SITARAM YECHURY
MANI SHANKAR AIYERAN
ROMILA THAPAR
IRFAN HABIB
NIVEDITA MENON
AYESHA KIDWAI
DANIEL RAJA
KARAN THAPAR
SHOBHAA DE
ARUNDHATI ROY
SHASHI THAROOR
RANA AYYUB
THAMBI SUNDAR PICHAI
SATYA NADELLA
CEO OF WIKIPEDIA
QUORA CEO ANGELO D ADAMS
QUORA MODERATION TEAM
KURT OF QUORA
GAUTAM SHEWAKRAMANI
ALL INDIAN THINK TANKS
SPREAD ON SOCIAL MEDIA
ALL MUST PARTICIPATE..
DeleteREADERS WHO CANNOT MUST FUCK OFF FROM MY SITE..
sent to pmo : PMOPG/E/2020/0111605
DeleteEmailed to indian embassy officials in russia
to external affairs ministry officials
Harsh Mander is omnipresent.
Deletehttp://www.opindia.com/2020/03/harsh-mander-ara-pacis-initiative-italian-govt-secret-service-foriegn-policy-india/
Ajit Sir,
The entire network is exposed here which includes Open Society too.
PMO & HMO, both are horrible.
Can't arrest this fellow.
He may fly off.
It doesn't work - they get banned over and over again, including myself. Total India doesn't have a awareness or awareness of this.
DeleteI have sent mail to Narendra Modi & Amit Shah.
DeleteLet's see if they arrest this fellow Harsh Mander.
Sent to
DeleteModi, Putin & Trump
PMOPG/E/2020/0111614
info.nia@gov.in
information@cbi.gov.in
ed-del-rev@nic.in
contact@amitshah.co.in
17akbarroad@gmail.com
supremecourt@nic.in
Nirmala Sitharaman • nsitharaman@gmail.com
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PRO IAF • proiaf.dprmod@nic.in
pronavy.dprmod@nic.in
secy.president@rb.nic.in
amitabh.kant@nic.in
vc@mail.jnu.ac.in
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mvnaidu@sansad.nic.in
MINHA/E/2020/02327 DEPOJ/E/2020/01010
MOIAB/E/2020/00528 DPLNG/E/2020/00267
MODEF/E/2020/00705 DMAFF/E/2020/00030
MOSJE/E/2020/00554 DSEHE/E/2020/01050
DORVU/E/2020/00419 DLGLA/E/2020/00372
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MOPRJ/E/2020/00285 GOVJK/E/2020/00139
GNCTD/E/2020/01616 CAGAO/E/2020/01609
DODIV/E/2020/00082
Dear sir,
DeleteSent to narendramodi1234@gmail.com by copy paste
Regards
Divij
Captain sent Emails to Modi,Shah and a few others.
DeleteSent to-
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supremecourt@nic.in
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rammadhav@gmail.com
rajeev@rajeev.in
https://twitter.com/rakeshsivan/status/1235953301998325760
Deletehttps://twitter.com/rakeshsivan/status/1235953216350642177
https://twitter.com/rakeshsivan/status/1235953622258606080
Master Ji,
DeleteSent mail to
dcp.hq@delhipolice.gov.in, dcp-vigilance-dl@nic.in, Yogi.Adityanath@sansad.nic.in, Nirmala Sitharaman , chairperson-ncw@nic.in, wim-dfs@nic.in, jsrev@nic.in, jsabc-dea@nic.in, pjavadekar@gmail.com, pseam@mea.gov.in, jpnadda@gmail.com, pstohrm@gov.in, vijaympingale@gmail.com, ravis@sansad.nic.in, nitin.gadkari@nic.in, vaibhav.dange@nic.in, jscpg-mha@nic.in, request-hrd@gov.in, secy.inb@nic.in, pjamwal@gmail.com, spprabhu1@gmail.com, sambitswaraj@gmail.com, vasundhararajeofficial@gmail.com, governor@rbi.org.in, urijitpatel@rbi.org.in, office@arunjaitley.com, csoffice@nic.in, cs@punjab.gov.in, cmup@nic.in, feedback-mha@nic.in, minister.yas@nic.in, ms-ncw@nic.in, mib.inb@nic.in, mvnaidu@sansad.nic.in, m.subbarayan@nic.in, manoharparrikar@yahoo.co.in, sharma.rekha@gov.in, supremecourt@nic.in, sushma.sahu@gov.in, jsncw-wcd@nic.in, pp.chaudhary@sansad.nic.in, rawat.alok@gov.in, rsdalal@hry.nic.in, drhrshvardhan@gmail.com, lk-admin@nic.in, amitabh.kant@nic.in, ambuj.sharma38@nic.in, 17akbarroad@gmail.com, ajaitley@sansad.nic.in, admin@nic.in, kashish.mittal@ias.nic.in, smritizirzni@gmail.com, smritizirani@sansad.nic.in, abvpasom@gmail.com, abvpbihar@rediffmail.com, abvpcentralup@gmail.com, abvpdelhi@gmail.com, abvpharyana@gmail.com, abvphp@gmail.com, abvpkarnataka@yahoo.com, abvpnestates@gmail.com, abvptn@gmail.com, abvputtaranchal@gmail.com, abvpwesternup@gmail.com, advanilk@sansad.nic.in, alokkumar.up@nic.in, arpolice@rediffmail.com, bjpandaman1990@rediffmail.com, bjphqo@gmail.com, bk.gupta@nic.in, chief.advisor@telangana.gov.in, chiefminister@karnataka.gov.in, chiefminister@kerala.gov.in, cm@maharashtra.gov.in, cm@mp.nic.in, cm_nagaland@yahoo.com, cmcell@tn.gov.in, cmo@nic.in, cmsect-jk@nic.in, contact@amitshah.co.in, contact@hindujagruti.org, contactus@rss.org, cs-manipur@nic.in, cs-mizoram@nic.in, cs@hry.nic.in, dg.prisons@kerala.gov.in, dgp-bih@nic.in, dgp-gs@gujarat.gov.in, dgp-mnp@nic.in, dgp-rj@nic.in, dgp.punjab.police@punjab.gov.in, dgp@and.nic.in, dgp@appolice.gov.in, dgp@keralapolice.gov.in, dgpmp@mppolice.gov.in, dgpms.mumbai@mahapolice.gov.in, dgptripura@yahoo.co.in, dirhq-cbdt@nic.in, eam@mea.gov.in, gandhim@nic.in, gandhim@sansad.nic.in, gaur_piyush@rediffmail.com, indiaportal@gov.in, info@vhp.org, jharkhandabvp@gmail.com, jp.nadda@sansad.nic.in, jse@nic.in, keralaprisons@gov.in, kk.rao@gov.in, lk.advani@sansad.nic.in, manoharpaaricar@yahoo.co.in, meghpol@hotmail.com, mpofficebhopal@gmail.com, nahmad@jharkhandpolice.gov.in, neera.bali@nic.in, nirmal_chouhan@hotmail.com, nsab.nscs@nic.in, office@wgs-cet.in, officelka@gmail.com, p.chhabra@nic.in, padma.ravi@nic.in, piyush@bjp.org, pnath@nic.in, police-chd@nic.in, pscm@hry.nic.in, ramvilas.paswan@sansad.nic.in, rc.miz@gmail.com, s.kalyanaraman@nic.in, s_mahajan@nic.in, sachin.rane@schneider-electric.com, secy.president@rb.nic.in
Thanks
Kannan
Registration Number : MODEF/E/2020/00710
DeleteRegistration Number : MINHA/E/2020/02340
Your Registration Number is : PMOPG/E/2020/0111790
https://twitter.com/Sashwatdharma/status/1236130370870886400 - pres., embassies
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Namaste Captain,
DeleteMessage sent to following addresses :
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jpnadda@gmail.com
pstohrm@gov.in
vijaympingale@gmail.com
ravis@sansad.nic.in
nitin.gadkari@nic.in
vaibhav.dange@nic.in
jscpg-mha@nic.in
request-hrd@gov.in
secy.inb@nic.in
pjamwal@gmail.com
spprabhu1@gmail.com
sambitswaraj@gmail.com
vasundhararajeofficial@gmail.com
governor@rbi.org.in
urijitpatel@rbi.org.in
office@arunjaitley.com
csoffice@nic.in
cs@punjab.gov.in
cmup@nic.in
feedback-mha@nic.in
minister.yas@nic.in
ms-ncw@nic.in
mib.inb@nic.in
mvnaidu@sansad.nic.in
m.subbarayan@nic.in
manoharparrikar@yahoo.co.in
sharma.rekha@gov.in
supremecourt@nic.in
sushma.sahu@gov.in
jsncw-wcd@nic.in
pp.chaudhary@sansad.nic.in
rawat.alok@gov.in
rsdalal@hry.nic.in
drhrshvardhan@gmail.com
lk-admin@nic.in
amitabh.kant@nic.in
ambuj.sharma38@nic.in
17akbarroad@gmail.com
ajaitley@sansad.nic.in
admin@nic.in
kashish.mittal@ias.nic.in
smritizirzni@gmail.com
smritizirani@sansad.nic.in
abvpasom@gmail.com
abvpbihar@rediffmail.com
abvpcentralup@gmail.com
abvpdelhi@gmail.com
abvpharyana@gmail.com
abvphp@gmail.com
abvpkarnataka@yahoo.com
abvpnestates@gmail.com
abvptn@gmail.com
abvputtaranchal@gmail.com
abvpwesternup@gmail.com
advanilk@sansad.nic.in
alokkumar.up@nic.in
arpolice@rediffmail.com
bjpandaman1990@rediffmail.com
bjphqo@gmail.com
bk.gupta@nic.in
chief.advisor@telangana.gov.in
chiefminister@karnataka.gov.in
chiefminister@kerala.gov.in
cm@maharashtra.gov.in
cm@mp.nic.in
cm_nagaland@yahoo.com
cmcell@tn.gov.in
cmo@nic.in
cmsect-jk@nic.in
contact@amitshah.co.in
contact@hindujagruti.org
contactus@rss.org
cs-manipur@nic.in
cs-mizoram@nic.in
cs@hry.nic.in
dg.prisons@kerala.gov.in
dgp-bih@nic.in
dgp-gs@gujarat.gov.in
dgp-mnp@nic.in
dgp-rj@nic.in
dgp.punjab.police@punjab.gov.in
dgp@and.nic.in
dgp@appolice.gov.in
dgp@keralapolice.gov.in
dgpmp@mppolice.gov.in
dgpms.mumbai@mahapolice.gov.in
dgptripura@yahoo.co.in
dirhq-cbdt@nic.in
eam@mea.gov.in
gandhim@nic.in
gandhim@sansad.nic.in
gaur_piyush@rediffmail.com
indiaportal@gov.in
info@vhp.org
jharkhandabvp@gmail.com
jp.nadda@sansad.nic.in
jse@nic.in
keralaprisons@gov.in
kk.rao@gov.in
lk.advani@sansad.nic.in
manoharpaaricar@yahoo.co.in
meghpol@hotmail.com
mpofficebhopal@gmail.com
nahmad@jharkhandpolice.gov.in
neera.bali@nic.in
nirmal_chouhan@hotmail.com
nsab.nscs@nic.in
office@wgs-cet.in
officelka@gmail.com
Yogi.Adityanath@sansad.nic.in
Thanks and regards,
Hemanth
Captain,
DeleteAlso sent message to following :
info.nia@gov.in,
information@cbi.gov.in,
ed-del-rev@nic.in,
contact@amitshah.co.in,
17akbarroad@gmail.com,
supremecourt@nic.in,
nsitharaman@gmail.com,
eam@mea.gov.in,
rusembindija@mid.ru,
hoc.washington@mea.gov.in,
protocolnewdelhi@state.gov,
amb.moscow@mea.gov.in,
webmaster.indianarmy@nic.in,
proiaf.dprmod@nic.in,
pronavy.dprmod@nic.in,
secy.president@rb.nic.in,
amitabh.kant@nic.in,
vc@mail.jnu.ac.in,
vc@du.ac.in,
mvnaidu@sansad.nic.in,
narendramodi1234@gmail.com,
amitshah.mp@sansad.nic.in,
mosfinance@nic.in,
appointment.fm@gov.in,
ravis@sansad.nic.in,
info@nibindia.in,
yogi.adityanath@sansad.nic.in,
sambitswaraj@gmail.com,
minister.hrd@gov.in,
minister.inb@gov.in
Thanks and regards,
Hemanth
sent mails to the below :
DeleteDate: Sat, 7 Mar 2020 at 13:04
Subject: Fwd: https://www.opensocietyfoundations.org/who-we-are/boards/human-rights-initiative-advisory-board
To: , , , , <17akbarroad@gmail.com>, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ram Madhav ,
SOMEONE CALLED ME UP AND CRIED..
ReplyDeleteCAPTAIN
YOU HAVE POINTED OUT POISON INJECTION BY JEWISH DEEP STATE IN BIBLE AND KORAN..
CAN YOU GIVE THREE SOLID EXAMPLES OF POISON INJECTION IN HINDU SCRIPTURES?..
LISTEN-
IN SANATANA DHARMA BHAKTI ( RELIGIOUS DOGMA BLIND DEVOTION TO GOD ) IS TABOO..
IN SANATANA DHARMA ONLY SHRADDHA ( FAITH EMANATING FROM CONSCIENCE OR SOUL VOICE ) IS ALLOWED..
WE NEVER HEARD OF ANY "BHAKTI MOVEMENT " HEROES ( COOKED UP BY JEW ROTHSCHILD AND TAUGHT IN NCERT BOOKS ) TILL THE WHITE INVADER CAME TO INDIA..
ADI SHANKARACHARYA WHO DIED 4000 YEARS AGO, WAS FORWARD DATED AND CONVERTED INTO A BHAKTO MOVEMENT HERO..
https://en.wikipedia.org/wiki/Bhakti_movement
############
EXAMPLE ONE:--
In Shvetashvatara Upanishad, 6.23, SHRADDHA was replaced with BHAKTI as follows,
यस्य देवे परा भक्तिः यथा देवे तथा गुरौ ।
तस्यैते कथिता ह्यर्थाः प्रकाशन्ते महात्मनः ॥ २३ ॥[90]
He who has highest BHAKTI of Deva ,
just like his Deva, so for his Guru ,
To him who is high-minded,
these teachings will be illuminating.
---— Shvetashvatara Upanishad 6.23
####################
EXAMPLE TWO:--
पुरुष: स पर: पार्थ भक्त्या लभ्यस्त्वनन्यया |
यस्यान्त:स्थानि भूतानि येन सर्वमिदं ततम् || 22||
puruṣhaḥ sa paraḥ pārtha BHAKTyā labhyas tvananyayā
yasyāntaḥ-sthāni bhūtāni yena sarvam idaṁ tatam
Translation
BG 8.22: The Supreme Divine Personality is greater than all that exists. Although He is all-pervading and all living beings are situated in Him, yet He can be known only through BHAKTI ( devotion ).
#####################
EXAMPLE THREE --
भक्त्या मामभिजानाति यावान्यश्चास्मि तत्त्वत: |
ततो मां तत्त्वतो ज्ञात्वा विशते तदनन्तरम् || 55||
BHAKTyā mām abhijānāti yāvān yaśh chāsmi tattvataḥ
tato māṁ tattvato jñātvā viśhate tad-anantaram
Translation
BG 18.55: Only by loving BHAKTI ( devotion ) to me does one come to know who I am in truth. Then, having come to know me, my devotee enters into full consciousness of me.
######################
AT EVERY DESH DROHI LITERARY FEST, A HUGE CHUNK OF TIME IS LEFT ASIDE FOR THE FAKE AND BACKDATED CREATIONS OF ROTHSCHILDs BHAKTI MOVEMENT..
THIS FOUL AND CUNNING SUBSTITUTION OF SHRADDHA WITH BHAKTI, IN THE WARP AND WEFT OF HINDUISM BY JEW ROTHSCHILD REDUCED THE GREAT SPIRITUALITY OF SANATANA DHARMA TO THE ABSURD LEVEL OF SINGLE HOLY BOOK/ SINGLE MESSIAH RELIGIONS ..
VERY SOON I WILL PEN MY SANATANA DHARMA PART 121 POST.. I WILL EXPLAIN FURTHER..
capt ajit vadakayil
..
JEW ROTHSCHILD WHO COOLED UP PALI SPEAKING / PIG EATING GAUTAMA BUDDHA AND PALI SCRIPT FOR THIS BURMESE DIALECT , CONVERTED—
DeleteSHRADDHA TO SADDA
CHAKRA TO CHAKKA,
DHARMA TO DHAMMA,
KARMA TO KAMMA,
SUTRA TO SUTTA ,
SATVA TO SATTA ,
PUTRA TO PUTTA ,
VASTU TO VATTU ETC..
SO ROMILA BABY , LET US ALL DANCE TO HUMMA ( HARAMI ).
https://www.youtube.com/watch?v=IhdUyiK-TTI
capt ajit vadakayil
..
SEND THIS COMMENT TO ROMILA THAPAR
Dear Capt Ajit sir,
ReplyDeleteUP CM Yogi Adityanath has already done it...shamed the rioters and asked the public to take pictures in public places of the advertisement and get them to pay the fines for joint and several liability.
https://www.facebook.com/photo.php?fbid=1082489698791617&set=pcb.1082489752124945&type=3&theater
https://timesofindia.indiatimes.com/business/india-business/depositors-money-safe-nirmala-sitharaman-on-yes-bank-crisis/articleshow/74508458.cms
ReplyDeleteWHY IS JNU WOMAN NIRMALA SITARAMAN SAVING PRIVATE BANKS?
THIS TRAITOR JNU WOMAN ( ALONG WITH MODI WHO WORE A MOSSAD SPONSORED SIKH TURBAN IN 1976 ) IS IN CAHOOTS WITH TRAITOR JUDGES-- WHO HAVE LEGALIZED BITCOIN..
THE JEWISH DEEP STATE IS FUELING UNREST IN INDIA USING BITCOIN..
75 YEAR OLD AJIT DOVAL IS DINOSAUR GREASE AND TACKLE MINDSET.. HE CANNOT THINK FOR NUTS WHEN IT COMES TO MODERN AFFAIRS ..
Ajit Sir,
ReplyDeleteThis is the scariest.
That Corona Virus is a combination of SARS & AIDS.
https://amp.news.com.au/lifestyle/health/health-problems/chinese-doctors-say-coronavirus-like-a-combination-of-sars-and-aids-can-cause-irreversible-lung-damage/news-story/f58f19c5eeae99b845c54e2d2b9305ca?__twitter_impression=true
These people are indeed serious about depopulation programme.
The lungs damaged, Pulmonary fibrosis is permanent by Corona Virus means irreversible according to the autopsy report of patients.
This one below as suspected:
It comes as a group of Chinese scientists warn that the virus has mutated into a more aggressive strain.
Impact on immune system is same as the impact suffered by AIDS, permanently loosing the immune system.
What will happen???
ReplyDeleteAnjaliMarch 5, 2020 at 7:39 AM
I have heard from very reliable sources that PM is doing hath yoga to go without sleep like Laxman and Hanuman. I have messaged all and sundry to request PM to postpone this tapa for post-retirement days.
as a small so that good Dharmic decisions are taken
ReplyDeleteRob WatsonMarch 6, 2020 at 4:50 PM
Captain, please consider https://www.youtube.com/watch?time_continue=30&v=Ryf3F9WCAlU&feature=emb_logo
https://twitter.com/RMCpost/status/1235888038821027845
ReplyDeleteTHIS CUNT NAMED RAVINAR THINKS PEOPLE PUT COMMENTS IN HIS WEBSITE -- TO RIDE ON HIS WEE SHOULDERS..
THIS CHOOT WHO RUNS MEDIACROOKS HAD ONCE SPAMMED ME FOR POSTING ( MESSAGE CRITICAL FOR SAVING BHARATMATA ) IN HIS TWITTER SITE..
HE THOUGHT I WILL DERIVE PERSONAL FAAYADA .. HIS ENTIRE READERSHIP FOR ONE FULL YEAR IS A FEW HOURS FOR ME..
IF I GET PISSED OFF I WILL REVEAL / EXPOSE HIS TRAITOR ANCESTORS.. AND THEN HE WILL GET STONED BY HIS OWN FOLLOWERS ..
capt ajit vadakayil
..
PUT THIS IN UGLY FELLOW WITH PIGEON CHEST -- RAVINARs TWITTER SITE ..
Ajit Sir,
DeleteRavinar is now not that much in position as he was before.
His Twitter account MediaCrook & his own personal account got permanently suspended by Twitter.
Again he is building up.
After our repeated relay of tweets as taunts & also by personal mediation, finally Kapil Mishra of Delhi got rid of Gaurav Pradhan.
Kapil Mishra came to know that Gaurav Pradhan is a fraud after his election defeat.
We wonder if Tejasvi Surya knows or not.
How naive are the followers of Gaurav Pradhan, again they have started following him.
Some people will never learn.
Ajit Sir, you must read the so called insightful comments by Gaurav Pradhan, when Modi declared with drawing from Twitter & SM.
Halwai says, it's he who knows How to make Twitter to sink.
Wow, Halwai will peek & pick all information from your AI Series.
Respected Sir,
ReplyDeleteIs condor and the vehicle of Lord Vishnu--Sri Garuda one and the same.
Thank you
QUICK THINKIN' TRINITY.
DeleteINDEED !
ANGEL GABRIEL OF KORAN/ BIBLE/ TORAH IS LIFTED FROM GARUDA..
http://ajitvadakayil.blogspot.com/2015/09/garuda-vimana-of-vishnu-and-garuda.html
Namaste
DeleteIn my initial days of reading your blogs years ago, I remember thinking of you as having some connection with Lord Vishnu's Garuda...Like an incarnation of him or something similar.. Your face also looks like that!
AIYOOOOO
DeleteTOBA TOAHBAAAAHHHH
@Free Spirit
DeleteEven I sometimes feel that Ajit Sir is doing the task of Bhagwaan Parashuram.
Bhagwaan Parashuram will be the teacher of Bhagwaan Kalki.
If Ajit Sir's genome is speaking to him, not a big deal if Ajit Sir is Bhagwaan Parashuram(God calling from within)
I don't find anything funny, if this happens.
These knowledge, full of wisdom also technology related knowledge and insights, covering topics across spectrum, Bhagwaan Kalki will catch at a glimpse.
For us, This is how knowledge is imparted. Dose by dose and we are swallowing it.
Bhagwaan Kalki will simply read & understand.
I AM JUST A RETIRED SHIP CAPTAIN WHO LOVES HIS BEER
DeleteDear Capt Ajit sir,
ReplyDeleteErdogan and his delegation travelled to Moscow to meet with Putin. Putin had them stand under the statue of Catherine II, the Empress of Russia who crushed the Ottoman Empire in the Russo-Turkish War (1768–1774). It doesn’t get more humiliating than this for Erdogan.
This is what that scum deserves...he needs to be sent to Siberia for longggg..
https://www.facebook.com/100001781461007/posts/2686201808115842/
VERY SOON I WILL PEN MY SANATANA DHARMA PART 121 POST.. I WILL EXPLAIN FURTHER.
ReplyDeletePlease post it very soon _/\_
http://thealtworld.com/scott_ritter/new-putin-erdogan-deal-is-sugar-coating-the-turks-surrender
ReplyDeleteCRYPTO JEW ERDOGAN IS A DANGER TO THIS PLANET.. THE DEEP STATE SUPPORTS HIM..
IS PUTIN NAIVE?
PMC bank depositors made huge headlines was a convenient beating stick to use by opposition. They have proactively done this for Yes bank. Voters weeping on TV is any govt no no.
ReplyDeleteTo readers
ReplyDeleteThose who want to save the blogs
1. Mozilla firefox in adroid
2. Opera mini vpn in android
3. Search urself how to save
4. so on
No grudges against anyone past present furture 1000 times
Regards
Maaaaa
Malayalam channels Asianet News, Media one banned for 48 hours for coverage of Delhi riots - https://www.thenewsminute.com/article/malayalam-channels-asianet-news-media-one-barred-48-hours-coverage-delhi-riots-119683
ReplyDeleteNamaste Master Ji,
ReplyDeleteVery much eagerly looking for SANATANA DHARMA PART 121
Shraddha , Savitur , asatoma sadgamaya
OUR THOUGHTS ARE ELECTRIC, OUR EMOTIONS ARE MAGNETIC , OUR INTENTIONS ARE SCALAR . KARMA IS INTENTION BASED AS PER 6000 YEAR OLD BHAGAWAD GITA
and many more - have brought in great change and silent revolution in me with Master Ji and Shiv ji blessings.
Thanks a zillion with gratitude
https://caravanmagazine.in/business/new-affidavit-indiabulls-case-accuses-yes-bank-dubious-loans-thousands-crores
ReplyDeleteJNU WOMAN NIRMALA SITARAMAN FUCKED THE COMMERCE MINISTRY, DEFENSE MINISTRY AND NOW SHE IS SCREWING THE FINANCE MINISTRY..
YES BANK IS A ROTHSCHILD FRONT BANK..
99% OF THE KAPOORS IN INDIA WITH FAIR EYES AND PALE SKIN, WHO GREAT GRANDFATHERS WERE FROM PESHAWAR-- ALL ALL JEWS. A LOT OF THEM ARE IN BOLLYWOOD..
RANA KAPOORs BROTHER-IN-LAW WAS KILLED IN THE OBEROI HOTEL WHEN AJMAL KASAB AND TERRORIST PARTY ATTACKED.. THAT DAY TAJ AND OBEROI WERE FULL OF DESH DROHI CRYPTO JEW DIAMOND MERCHANTS.
BINDU KAPOOR, RAVNEET GILL, RAJAT MONGA ALL ARE MODI GOVTs BLUE EYED BOYS
YES BANK LOANED MONEY TO SHELL COMPANIES WHICH HAD ZERO NET VALUE.. THIS MONEY HAS BEEN SIPHONED OFF ABROAD....
https://www.outlookbusiness.com/strategy/trend/how-yes-banks-rana-kapoor-made-rs20-billion-from-loans-worth-rs60-billion-to-indiabulls-5516
I WROTE A 33 PART POST ON SHELL COMPANIES.. TILL THEN MODI GOVT DID NOT HAVE A CLUE..
http://ajitvadakayil.blogspot.com/2017/03/shell-companies-for-money-laundering_31.html
AJIT DOVAL AT THE AGE OF 75 DYES HIS HAIR AND PLAYS JAMES BOND-- INSTEAD OF DOING HIS JOB AS NSA..
https://economictimes.indiatimes.com/wealth/personal-finance-news/yes-bank-ceo-rana-kapoors-family-buys-rs-128-cr-house-next-to-mukesh-ambanis-antilla/articleshow/20300618.cms?from=mdr
capt ajit vadakayil
..
But Ajit Sir,
DeleteSwamy wants to be the FM.
If we are going to blame N.Sitharaman then Swamy will lap up the vacancy and put his kind of RBI Governor.
Swamy said it without any hiccup here in Bhubaneswar OTV NEWS that he should be the FM.
Swamy is eyeing the post.
It simply flies off my head that why such a desperation & at this age.
Swamy should give full time to his org. Viraat Hindu Sangram.
For Many things we readers don't have the capacity to understand.
Politics is so complex.
There is no other choice. These people are no different from Ajmal Kasab.
DeleteKasab was a brainwashed person.
These bankers knew at they were doing.
They must be tried and punished under the anti terrorism laws.
A terrorist with his bullet kills instantly a few hundreds.
A corrupt banker hands out a lingering death to millions of account holders.
Modi has clearly laid out a rule that those who are above 75 years of age are not given party tickets.There is zero possibility of subramanian swamy becoming FM at the age of 80.
DeleteCaptain,
As you rightly said this woman screwed up all the ministries she handled.
https://m.economictimes.com/news/defence/navy-to-allow-women-on-board-warships-sooner-rather-than-later-sunil-lanba/articleshow/61884151.cms
new ships are being constructed with suitable facilities to embark lady officers on board.And this ajit doval does not know anything about world intrigue except pakistan.Deep state is trying to implode india from within in all possible ways.what are these intelligence,security and regulatory departments doing?
So Ajit Sir,
DeleteFinally ED raided the house of Rana Kapoor.
I copied pasted that link from the above, Rs.128Crore Bunglow & simply relayed on Handles of as many Bigshots as possible.
Shri Jagannatha Temple Trust has a whooping Rs545 crore in Yes Bank.
With Shell Companies being the middleman operating to finance WHORE games like IPL CRICKET, this government must reply that why has Lord's money being used for financing the payments of WHORES & PROSTITUTES of Bollywood & Central Asian Cheerleaders shaking their parts in IPL CRICKET.
IPL must close down.
That Bastard Lalit Modi is enjoying his life in Austria & Amsterdam.
This Shri Jagannatha Temple Trust also must be screwed up.
Bastards used Lord's money for financing payments of Prostitutes & Whores.
Except Middle class depositors money that must reach to them, better this YesBank close down.
Why should RBI & N.Sitharaman bailout this Benami Bank...
AJIT DOVAL WAS A RAW FIELD ASSET INSIDE PAKISTAN.. I KNOW WHAT HE DID VIA ONE OF HIS COLLEAGUES ..
DeleteTHIS DOES NOT MEAN THAT HE CAN HEAD NSA..
NSA CHAIR IS MEANT FOR THE TECHNICALLY SAVVY.. FOR THINKERS -- NOT DOERS ..
IF AJIT DOVAL READS MY AI SERIES OR SHELL SERIES OR BITCOIN SERIES-- WHAT CAN HE UNDERSTAND?
I CAN PUT A 500 ITEM SIMPLE BASICS EXAM FOR AJIT DOVAL -- AND HE WILL SCORE LESS THAT 2%..
FUTURE WARS MUST BE PREVENTED..
CHINA IS SO FAR AHEAD OF INDIA IN ARTIFICIAL INTELLIGENCE THAT THEY CAN TIE UP INDIA IN KNOTS..
AND MODI IS ON HIS OWN TRIP.. WHATEVER HE DOES , BOILS DOWN TO MILKING VOTES..
I WAS WONDERING WHAT MODI IS UPTO WHEN HE WROTE ABOUT GIVING UP HIS SOCIAL MEDIA ACCOUNTS..
IT BECAME CLEAR TWO DAYS LATER-- HE WAS TARGETING 50% OF THE INDIAN POPULATION (WOMEN) FOR VOTES..
VOTE MAANGTHA HAI BHAIYYA..
MODI AND AJIT DOVAL HAVE FORMED A MUTUAL ADMIRATION SOCIETY --LIKE SWAMY AND RAJIV MALHOTRA
Modi is using this women's day opportunity to prop up indian version of deep state agent greta thunberg.
Deletehttps://mobile.twitter.com/mygovindia/status/1235567576085721090
For this pathetic modi government this indian child deep state agent is inspiration.World leaders including trump and putin had denounced mental midget greta thunberg,but our modi has not spoken one word against her.
Is Pakistan be behind the recent Delhi riots ? Here is a policy document produced by the Pakistan Senate in 2016. http://www.senate.gov.pk/1web/whole/whole07.pdf They deleted it here is the wayback machine version - https://web.archive.org/web/20190330150613/http://www.senate.gov.pk/1web/whole/whole07.pdf
ReplyDeletePoint 8 is interesting - 8. India's own fault-lines in their alienated Muslims, Sikhs, Christians and Dalits as well as the growing Maoist insurgency be highlighted. In this context, services of two official think tanks whose principal task is to study India, the Islamabad Policy Research Institute (IPRI) and Institute of Regional Studies (IRS) can be attached to the relevant Committees of the Parliament. Modi and his RSS ideology of Hindutva should be targeted.
Pak is openly publishing and carrying out subversive activities in India and Doval is trying hard to look like James Bond.
Namaskaram Master Ji
ReplyDeleteThanks a zillion with gratitude for divine blessings shower early morning.
Namastae and Namaskaram
https://www.newsclick.in/The-Maze-of-Political-Links-of-Indiabull-Sameer-Gehlaut
ReplyDeleteMother in BJP
In laws from congress.
IF A RICH MAN DONATED TO BJP/ CONGRESS -- HE WILL BE PROTECTED..
DeleteTHIS IS HOW CRONY CAPITALISM WORKS..
http://ajitvadakayil.blogspot.com/2012/11/kleptocracy-in-india-lobbying-pimping.html
ILLEGAL COLLEGIUM JUDICIARY IN INDIA IS THE MOST CORRUPT ORG.
I WROTE MY 33 PART SHELL SERIES FOR MODI AND AJIT DOVAL..
https://caravanmagazine.in/business/pil-indiabulls-reliance-public-money-private-wealth-scam
IMAGINE SUPREME COURT IS SPONSORING BITCOIN..
Ajit Sir,
Delete《There are many potential investors who have approached us after seeing the scheme of reconstruction for #YesBank: SBI Chairman Rajnish Kumar》
कितना उल्लू बना रहे हैं आम जनता को
Now, Dhanalaxmi Bank is owned by Reliance and Reliance is in partner with SBI.
बस काम खतम
SBI is pathetic, giving severe frustrations.
When Kingfisher & Jet Airways screwed up SBI, they simply flew off never to return.
Here again SBI is playing the same game.
These people are so mad to plaster the cracks that they have no time to analyse that common people can catch hold of their over-smart moves.
Captain,
ReplyDeleteSupreme court said that NGO shouldn't be banned for getting funds from foreign nations who funds the protests and strikes in India without any political mean
This decision came on the case of NGO INSAAF
KAYASTHA RAVI SHANKAR PRASAD WAS A NAXALITE IN 1976.
DeleteTODAY AS LAW MINISTER HE IS NO DIFFERENT..
HOW DO YOU THINK THIS FELLOW BECAME LAW MINISTER -- WHERE FOREIGN PAYROLL JUDGES PLAY GOD ?
https://timesofindia.indiatimes.com/india/breaking-news-live-updates-march-7/liveblog/74521150.cms
ReplyDeleteWHY IS MODI SAVING ROTHSCHILDs PRIVATE BANKS?
CHAKKAR KYA HAI?
WILL HE SAVE AXIS BANK AND HSBC NEXT?
IN UK TATA HAS SAVE THE PENSIONS OF WHITE MEN WHO HAVE RETIRED.. NOW YOU AND ME PAY TAX TO LET THESE USELESS WHITE MEN LEAD HAPPY RETIRED LIVES..
JRD TATAS MOTHER WAS A FRENCH WOMAN SUZANNE BRIERE ( SOONI ) …. CYRUS MISTRY IS AN IRISH CITIZEN…. HIS MOTHER PATSY IS IRISH… NOEL TATA'S MOTHER ( RATAN TATA'S STEP-MOTHER ) IS SIMONE DUNOYER -A FRENCHWOMAN. …
ONLY IDIOTS WILL SET UP BUSINESS IN BRITAIN, WHERE PEOPLE WANT MONEY WITHOUT WORKING FOR IT…. THE JOHN BULL IS VERY CONSCIOUS OF HIS RIGHTS AND PENSION DEMANDS…..
TATA STEEL WAS AWARDED THE '2015 WORLD'S MOST ETHICAL COMPANY' AWARD UNDER THE METALS CATEGORY BY THE ETHISPHERE INSTITUTE. …….
THIS WAS THE THIRD TIME, THAT TATA STEEL WON THIS AWARD… BRAAAAYYYYYYYYY!...... SOMETIMES TO GET SUCH AN AWARD , YOU HAVE TO BECOME A CH0OT AND SIT ON CHANNE KA JHAAD……
TATA STEEL ACQUIRED THE STEEL GIANT CORUS IN 2007……TO FEND OFF A BRAZILIAN RIVAL, COMPANHIA SIDERÚRGICA NACIONAL (CSN) (THIS WAS A ROTHSCHILD SIGNATURE TRICK FOR WHICH ONLY THEIR EX-OPIUM DRUG RUNNING AGENTS FALL )…..
TATA HAD TO PAY A 70% PREMIUM OVER THE STOCK PRICE…… MIND YOU, JEW ROTHSCHILD WAS BROUGHT IN TO ADVISE TATA STEEL— IN ADDITION TO ABN AMRO AND DEUTSCHE BANK—LATE IN THE GAME AFTER THE BRAZILIAN COMPANY CSN UPPED THE STAKES ( A GAME FOR CHO0TS )……..
ON 30/31 JANUARY AN AUCTION WAS HELD BY THE PANEL FOR CORUS'S SHARES, WITH TATA OUTBIDDING CSN AT £6.08 VS £6.03 PER SHARE…….. CSN'S BID HAD BEEN SUPPORTED BY GOLDMAN SACHS WHILST TATA'S WAS SUPPORTED BY ABN AMRO, ROTHSCHILDS, AND DEUTSCHE BANK…………..
SAAB ROTHSCHILD KI LEELA THA, WITH AN EX –OPIUM BUSINESS PARTNER !......
TATA PAID ONLY $4BN (£2.8BN) OF THE ESTIMATED $14BN FINAL PRICE OUT OF ITS OWN FUNDS – THE REST WAS BORROWED, MAINLY FROM INDIAN PUBLIC SECTOR BANKS. CORUS STEEL WAS ACQUIRED BY TATA OF INDIA IN 2007, AND RENAMED TATA STEEL EUROPE IN SEPTEMBER 2010…….
IN SEPTEMBER 2010, CORUS ANNOUNCED THAT IT WAS CHANGING ITS NAME TO TATA STEEL EUROPE AND ADOPTING THE TATA LOGO……… WE THE PEOPLE OF INDIA WANT TO KNOW WHY ARUN JAITLEY AND MODI IS ONLY AFTER VIJAYA MALLYA……. WHAT ABOUT THE LOANS TAKEN BY TATA AND OTHERS ?.......
EVEN IF TATA STEEL SELLS , THE HUMONGOUS GBP 15 BILLION BRITISH STEEL PENSION SCHEME, A PART OF TATA STEEL UK, HAS 130,000 MEMBERS AND WILL NOT BE TAKEN OVER BY THE NEW BUYER….. THIS MEANS THE LIABILITY STAYS WITH TATA STEEL……. DO YOU HAVE ANY IDEA HOW MUCH IS 15 BILLION POUNDS ? …….
ARE THESE PATHETIC MEAT AND POTATO LIMEY STEEL WORKERS LORDS AND DUKES?....... WHY WERE INDIAN TAXPAYER-FUNDED PUBLIC SECTOR BANKS SO WILLING TO LEND TO TATA TO BUY UP AN OVERPRICED AND DEFUNCT CORUS STEEL , EVEN AS THEY DENIED LOANS TO INDIAN FARMERS COMMITTING SUICIDE AND SMALL-SCALE COTTAGE INDUSTRIES?........
REPAYMENT OF THOSE LOANS WAS SUPPOSED TO BE MADE OUT OF THE PROFITS OF TATA STEEL EUROPE. BUT THOSE PROFITS NEVER CAME…. ONLY IDIOTS INVEST IN BRITISH INDUSTRY…… BRITISH WHO NEVER SWEATED IN THEIR LIVES, WANT TO RETIRE IN LUXURY BY MAKING INDIANS PAY FOR THEM ........
WE HEARD RATAN TATAS CONVERSATIONS WITH NIRA RADIA …..65 PARSIS WERE KNIGHTED BY JEW ROTHSCHILD BEFORE 1947, WE KNOW WHY TODAY..
TODDAY USA IS REVISING THE DEAD CITY OF DETROIT USING TATA. ROTHSCHILD SCREWED FORDs CITY OF DETROIT USING COMMIE JEW LABOUR UNIONS FOR CRITICIZING JEWS ...
http://ajitvadakayil.blogspot.com/2018/05/henry-ford-victim-of-jewish-retribution.html
http://ajitvadakayil.blogspot.com/2010/11/drug-runners-of-india-capt-ajit.html
capt ajit vadakayil ..
you know captain the word's "love u from the core of my heart" these words i have only said to you,,,,,,no body else,,not even those who gave birth to me and neither those who raised me...
DeleteDear Capt Ajit sir,
Deletehttps://twitter.com/IwerePm/status/1236338579539804165?s=19
One of the first capitation colleges were started by the Kerala king.
ReplyDeleteIf you had enough gold , you would be taught and given a translated copy free.
Pioneer indeed.
Manipal etc are Johnny come lately types.
Brilliant business acumen.
NOT FOR PEANUTS
DeleteFOR ENORMOUS AMOUNT OF GOLD..
GREEKS PATENTED THIS KNOWLEDGE FREE IN THE OWN NAMES..
ANCIENT GREEK KNOWLEDGE ( PYTHAGORAS / PLATO TYPES ) DRIED WATER WATER IN THE HOT DESERT SANDS..
MIDDLE AGE ARAB KNOWLEDGE SPROUTED LIKE FLOWERS IN THE DESERT SANDS..
TILL A BROWN BLOGGER CAME ON THE SCENE NOBODY HAD THE CEREBRAL WHEREWITHAL TO FIGURE OUT THIS STRANGE INCONSISTENCY.
EVEN TODAY KERALA HAS THE BEST SOCIAL INDICATORS ON THE PLANET., FAR AHEAD OF EUROPE / SCANDINAVIA AND REST OF THE PLANET
WE HAVE 100% LITERACY.. THE ONLY ONES WHO CANT READ A NEWSPAPER ARE IMMIGRANTS AND BEGGARS FROM OTHER INDIAN STATES..
SANATANA DHARMA SPROUTED FROM KERALA ( DANAVA CIVILIZATION ).. WE CIVILISED THIS PLANET..
ROTHSCHILD TRIED TO HIDE THIS...HE FELL PHUTT ON HIS KOSHER FACE..
@nami, if you mean he commercialized education, you are wrong. Education was not sold. All Greek scholars studied free. They didn't give gold. When first quran was edited , I don't think Mohammed had any of the gold.
DeleteThanks,
Srini
I think Sir has answered it perfectly.
DeleteNothing wrong in capitation colleges and having a good business sense.
Hi Sir,
ReplyDeleteToday is my birthday. Please bless me.
Thanks,
Srini
https://timesofindia.indiatimes.com/sports/cricket/news/i-dont-see-anyone-stepping-into-ms-dhoni-and-yuvraj-singhs-shoes-msk-prasad/articleshow/74521412.cms
ReplyDeleteMSK PRASAD KILLED MATCH WINNER AMBATI RAYUDUs CAREER..
Hi capt,
ReplyDeleteNGOs cannot be denied foreign funds even if they indulge in bandhs, agitations for public causes: Supreme Court
https://www.opindia.com/2020/03/supreme-court-ngo-foreign-funds-agitations-protests-public-cause-politics/
No judiciary reforms possible unless these traitor judges are hanged by special courts as you say. Now Soros can fund naxals and other anti national elements. Finally Swara and her ilk will be employed.
https://www.opindia.com/2020/03/supreme-court-ngo-foreign-funds-agitations-protests-public-cause-politics/?fbclid=IwAR3MxowS6Nr6yAJEPuwlFNxtSPuvw05bc5E_Bwsji2D8BvZ-s-1V0dZqzl8 Sir, we are losing hope
ReplyDeletehttps://timesofindia.indiatimes.com/world/us/hindu-american-foundation-accuses-uscirf-of-perpetuating-misinformation-on-caa/articleshow/74523482.cms
ReplyDeleteINDIA DOES NOT CARE FOR USA.
THOSE DAYS ARE LONG GONE.
Dear Captain,
ReplyDeleteWhat does climate change protest do to children?
Does that make them unpatrotic and make them extreme left all throughout their life?
Is that the danger you have asked to Punish Parent and Teachers who encourage that
This India Greta trolled by many deshbhakts including your readers
https://twitter.com/LicypriyaK/status/1236191223985012737?s=20
https://boxofficeindia.com/report-details.php?articleid=5987
ReplyDeleteCULTURAL TERRORISM ..
https://www.addatoday.com/2020/03/shubh-mangal-zyada-saavdhan-second-week.html
ReplyDeleteINDIA HAS THE LEAST AMOUNT OF HOMOSEXUALS ON THIS PLANET BY PERCENTAGE
99% HOMOSEXUALS ARE PEDOPHILES..
Dear Readers,
ReplyDeleteSomeone please share all the e-mail ids of officials in India & officials across the globe.
I want to save it & put the e-mails.
This YESBANK must tank.
@charishma or @DebdootSarkar please share.
Thanks and Regards.
Master Ji,
ReplyDeletecorona virus and kobe bryant hoax. Please watch if you have time
https://youtu.be/dccnlZu-_4A
Thanks
Hi Sir,
ReplyDeleteDid you remove your new post on embezzlement?
Thanks,
Srini
Dear Capt Ajit sir,
ReplyDeleteWhy is this British co. Entering India now....to arm the naxals and Maoists....supplying secretly like fake currencies ?
https://m.hindustantimes.com/india-news/70-years-after-independence-england-s-webley-and-scott-to-make-guns-in-india-for-civilians/story-GQ1GNWkGP1hc2wuvx5ZQaJ_amp.html
ReplyDeletehttps://www.livemint.com/news/india/sc-quashes-rbi-ban-on-cryprocurrency-11583300795934.html
WHENEVER BHARATMATA IS BLED BY THE ILLEGAL COLLEGIUM JUDICIARY, YOU CAN BE COCK SURE LIBERAL JUDGES NARIMAN OR CHANDRACHUD WILL BE IN THE BENCH..
THESE TWO JUDGES WERE IN THE BENCH WHICH LEGALIZED HOMOSEXUALITY AND ADULTERY..
CHILDLESS MODI STOOD IN THE SHADOWS AND MADE THIS JEWISH DEEP STATE WISH HAPPEN TO DECIMATE OUR PRICELESS CULTURE. INDIA IS NO LONGER A MORAL NATION..
BITCOIN IS USED IN THE PEDOPHILE / PORN INDUSTRY. . BITCOIN IS USED TO BUY DRUGS , PAY TERRORISTS/ MERCENARIES TO MURDER PEOPLE..
73% OF BITCOIN TRANSACTIONS ARE USED FOR ILLICIT ACTIVITIES..
I WROTE AN 18 PART POST , DESCRIBING WHAT BITCOIN IS..
http://ajitvadakayil.blogspot.com/2018/04/blockchain-bitcoin-must-be-kicked-out.html
BOTH PM MODI AND NSA AJIT DOVAL HAVE BEEN BLEEDING BHARATMATA WHILE CLAIMING TO BE GREAT DESH BHAKTS..
WITH KAYASTAS LAW MINISTER RAVISHANKAR PRASAD AND I&B MINISTER PRAKASH JAVEDEKAR, THIS GRUESOME FOURSOME HAS ENSURED THAT THE WATAN IS GOING TO THE DOGS..
EVERYBODY KNEW THAT ROTHSCHILD DARLING PAPA CHANDRACHUD WOULD BE CJI.. YOU SHOULD HAVE SEEN THE TANDAV OF THIS FELLOW IN 1976 TARGETING INDIRA GANDHI..
NOW EVERYBODY KNOWS THAT BETA CHANDRACHUD WILL BE CJI -- THIS IS HOW MUCH THINGS ARE PREDICTABLE IN INDIA..
I WROTE A 33 PART POST DESCRIBING WHAT SHELL COMPANIES ARE AND HOW THE WATAN IS BEING BLED ...
TODAY WE KNOW HOW INDIAN BANKS ARE LENDING HUGE MONEY TO SHELL COMPANIES RUN BY PEOPLE WHO DONATE TO BJP.
http://ajitvadakayil.blogspot.com/2017/03/shell-companies-for-money-laundering_31.html
I WANT ALL MY READERS TO READ THE BELOW POST CAREFULLY.. HOW BITCOIN BRIBED JUDGES ARE ALLOWED TO PLAY GOD BY SLAVES TO THE JEWISH DEEP STATE WHO RULE INDIA..
https://ajitvadakayil.blogspot.com/2020/01/we-people-are-done-with-illegal.html
THERE IS NO WAY TO RETRIEVE BITCOIN THAT HAS BEEN STOLEN OR CONNED, AND NO WAY TO REVERT THE TRANSACTION.
IN TEN YEARS OF BLOCKCHAIN EXISTENCE ALL IT HAS DONE IS TO REGULARISE GRABBED LAND IN ISRAEL AND GEORGIA BY JEWS..
CHANDRABABU NAIDU WANTED TO USE BLOCKCHAIN TO COVER UP GRABBED LAND IN AMARAVATI..
BITCOIN MAKES IT EASY FOR SCAMMERS , TERRORISTS , PEDOPHILES TO GET THEIR ILLEGAL MONEY AND RUN.
ARTIFICIAL INTELLIGENCE IS USED TO KEEP BITCOIN OFF THE WATCH CRIME RADAR..FALSE POSITIVES ARE USED AS DECOY..
I HAVE PENNED A 16 PART BLOG SERIES ( UNFINISHED ) ON AI..
https://ajitvadakayil.blogspot.com/2020/03/what-artificial-intelligence-cannot-do.html
ALMOST ALL BITCOIN IS USED IN THE DARK WEB ANONYMOUSLY AND THIS IS A TOOL FOR MONEY LAUNDERING AND RANSOMWARE. TRACKS ARE COVERED..
THE BIGGEST CRIMINALS OF INDIA ARE BITCOIN TRADING GUJARATIS FROM SURAT WHO DONATE TO BJP..
capt ajit vadakayil
..
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DeleteYour Registration Number is : PMOPG/E/2020/0112886
DeleteI have sent many to pmo bit I dont receive any mail from them.
Sent to
DeletePutin, Trump & Modi
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pranaam captain,
DeletePMOPG/E/2020/0113017
previous comment on corona virus closed with remarks "FILE"
Name Of Complainant
Prashant Jani
Date of Receipt
03/03/2020
Received By Ministry/Department
Prime Ministers Office
Grievance Description
Respected PM Modi,
Please acknowledge reeipt of following comment regarding Corona Virus:
http://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html?showComment=1583152277491c4807103654795916093
https://ajitvadakayil.blogspot.com/2020/02/coronavirus-deaths-nano-gold-colloids.html
NANO GOLD COLLOIDS AND OZONE CAN BE USED TO COMBAT CORONAVIRUS..
GOLD COLLOIDS AS TREATMENT FOR VIRUS IS MENTIONED IN 6200 YEAR OLD CHARAKA SAMHITA-- AN AYURVEDIC TEXT..
capt ajit vadakayil
Current Status
Case closed
Date of Action
05/03/2020
Remarks
FILE
Master Ji,
DeleteSent mail to already shared list and tweeted https://mobile.twitter.com/kannanlp/status/1236348981329846272
When I kept the mail subject as Bitcoin - immediately Google gmail has blocked almost 73 email contacts and when I changed the subject with screenshots the message was sent properly.
All social media/ Internet Corporate giants decide the truth for us hiding the information and reality and suppressing truth
Thanks
Only players change, game remains same. i.e Loot and scoot.
ReplyDeleteCapt
ReplyDeletesent to finance ministry officials
and to pmo: PMOPG/E/2020/0112936
Dear Capt Ajit sir,
ReplyDeletehttps://twitter.com/IwerePm/status/1236337084136210432?s=19
pranaam captain,
ReplyDeleteit would be bad enough if rothschild banks were allowed to operate in India in a straightforward way just taking advantage of indian market to make profits.
so then how much worse is it if they are allowed to make pre-plaaned loans destined to become NPA so that TATAs can fund videshi pensions?
https://economictimes.indiatimes.com/news/economy/policy/sc-orders-rbi-to-disclose-defaulters-list-npas-of-banks-under-rti/articleshow/69053289.cms
cant imagine SC will hold RBI in contempt for not disclosing top NPA names.
was trying to remember where you revealed how punishment of germany was part of ww2 apart from establishment of israel. that was because germany was trying to undermine rothschild bhikmangaa banking cartel by trying to be debt free.
so just typed "ajit vadakayil german currency" in google and got the following post on #3 - http://ajitvadakayil.blogspot.com/2011/11/general-eisenhowers-secret-holocaust-of.html this information was a shocker captain and helped to understand why they went out of the way to make germans suffer.
therefore all this FDI in banking / insurance/ defense sector will harm india unless we make our own weapons. till that time as you said captain, we should take russian help / get enough submarines, etc and most importantly destroy collegium judiciary.
COMMENTS IN THIS POST IS NOW CLOSED..
ReplyDelete