Can We Predict The Entire Life Of A Human Using Vedic Astrology + Modern Day Technology? ~ could this B 1 of the "reasons" our gov. built the HUGE "complex" in ....Utah ??? ...folks "we" R b'ing "harvested" in EVERY sense of the word!
by Rajsing Mohapatro.http://www.collective-evolution.com/2015/05/16/big-data-vedic-astrology-the-invention-of-a-new-human-life-prediction-system/
This article describes how the abundance
of personal data generated about individuals through various
technologies (internet history, social networks, wearable devices, etc.)
that we come across in our day-to-day life can potentially one day be
utilized to develop a new system to predict the life of every human
being on Earth. This system would be something similar to the ancient
Vedic astrology system which is being used, even today, to predict human
life events and possibilities.
It also attempts to explain how big data
analytics played an important role in the invention of ancient
astrology systems even thousands of years ago (through mythological
references) and how it is possibly going to play the same role in the
creation of a next gen technology-based human prediction system.
About Big Data Analytic
Big data analytics have been in use by
most of the big business houses for some time now to uncover such things
as business trends, insights, and patterns, and their correlation
to the psychology of customers/consumers. Recently, because of its far
reaching ability to successfully predict human behavioural patterns, the
application of data analytics has been spreading into many fields.
For example, it’s being used by police
departments to predict crime occurrences in their area, by employers to
forecast employee future actions, behaviours, productivity and
psychology, and by retailers to predict customers/ consumers
preferences.
Vedic Astrology & The World’s Oldest Big Data Projects
The period of Vedic civilization
witnessed the birth of a number of amazing systems and methodologies,
such as Yogasutra, Ayurveda, Vedic mathematics and Astrology. As per
mythological scriptures, these inventions and discoveries were made
possible by the siddhis (metaphysical powers) or yogic power of the
great Vedic sages (thinkers). During that period, different versions of
astrological systems were developed by different sages based on their
research and findings in the field. All of these versions (branches)
differ slightly in the way calculations are made or formulas are applied
to predict future events, but they all revolve around a common
philosophy which forms the very basis of these prediction techniques.
That is, planetary alignments and movements influence the human body and mind. Though
its validity and accuracy still remain highly debatable, if we go by
Indian mythological references, it appears that the lifecycle of many of
these astrology projects consisted of three major phases – the same as
any of the present day big data analytic projects: 1) Detailed data
gathering, 2) Analysis and 3) Devising formulas/rules based on the
findings.
One such project was the Bhrigu
astrology system, which was created by a great sage of the same name who
was believed to have attained great siddhis through deep meditation and
penance.
First Phase: Data Collection
In the first phase, Bhrigu focused on
collecting data about detailed life events capturing every moment of
500,000 individuals spreading across different geographies/social and
economic classes.
Second Phase: Crunching Of Data
As the analysis of these huge and
unstructured data sets required a brain matching the combined power of
thousands of modern day servers, he approached the best available
computing powerhouse available at the time to aid him. That
powerhouse was none other than the “mythological god Ganesha,” also
known as the god of intellect, mathematics, and algos, and the bestower
of problem solving and analytic skills. In Vedic scriptures he is often
described as having an intellect or processing power equal to the power
of the thousand finest brains put together (like a cluster of a thousand
powerful server nodes). In yogic theology, he is the manifestation of
intellect in the human brain and, once activated fully through deep
meditation techniques, gives unmatched intellect and power. And after
invoking the power of Ganesha in his mind, Bhrigu continued with his
analysis of all the data he had collected.
Third Phase: Deriving Rules & Formulas
His careful crunching of detailed data
helped him to uncover the hidden correlation between human life events
and personality traits with planetary alignments, enabling him to
formulate rules to predict most human life events. He then shared his
findings with his community. Over time, further improvements were made
based on various observations and some rules were altered to correspond
to social, biological and environmental evolutions.
One question remains unanswered here.
How did he manage to collect the vast personal data of so many
individuals? This can again be attributed to a yogic power called citta
siddhi (mind reading power). It’s a metaphysical power often described
in many ancient scriptures, having been used for reading any
individual’s memory – even memories to which the native brain has lost
access.
Even after a thousand years, astrology
is practiced extensively in most parts of India mainly for two reasons
1) to predict personality, future events, and various possibilities
about an individual’s life, and 2) to predict successful marital life
between prospective marriage partners (matchmaking services).
Nobody knows the truth behind these
astrology systems for certain, nor does anyone know if these sages truly
had the siddhis to create such amazing projects. But one thing we now
know is that we have the technology required to replace those siddhis
and invent a similar prediction system.
Designing A New Human Life Prediction System
At first glance, the idea of collecting
data about a large number of individuals detailing every moment of their
lives and then analyzing the same appears impossible.
But in reality we have already made such technological progress that
carrying out a big data project to predict human lives doesn’t seem so
unrealistic. We have the necessary computing power and sophisticated
algos to analyze any type of data of any size and complexity, and our
ever growing addictions/dependencies to various technologies ensure that
we encapsulate every moment of our lives in digital format. And our
digital footprints are potentially the perfect alternatives for the
“citta siddhis” (mind reading power of past and present things) of the
sages. Let’s see how:
Available Sources For Harvesting Personal Data About A Large Number of Individuals
Through social media: Most
of us don’t think twice about sharing on social media. But our actions
on these various platforms – past tweets, updates, likes, shares,
pictures, and more – can easily be analyzed to construct an accurate
representation of who we are as a person. These social media activities
paint a clear picture of our thoughts, emotions, interests, moods, and
tastes, along with marking our actions and important life events. They
reveal our views on religion, politics, and culture, along with our many
likes and dislikes. Someone could also learn about our romantic
entanglements, our joys and our sorrows, and our relationships with
friends and family. Our favourite hangout places and restaurants are
there for discovery, along with all of the major life events and
achievements we have experienced in recent years.
Similarly, the content of our past
personal mail, text, audio, video conversations, and group chats can
describe the state of mind or mood of a person for that moment.
By analyzing our search data, online activity log, and mobile app data: Through
careful study of our past Google search history, one can make out what
thoughts, ideas, questions and cognitive abilities were playing in our
mind at a given point of time and how curious/anxious/worried we were to
know certain things at certain points of time. It captures almost all
psychological aspects of a human brain.
Our online news and book subscriptions
and our App data can speak about our reading, listening, and watching
habits, along with our preferences on various subjects. Similarly, our
online shopping records, digital wallets, and credit/ debit card
statements can define whether we are consumerists or essentialists, as
well as revealing our preferences for food, drinks, and goods and
services.
This data can also divulge the many dark
sides of our life and health which we may not be aware of. For example,
our sexual health, preferences and fantasies over a period of time can
be guessed based on the type and quantity of health care products and
accessories we purchase or from the content we read/watch or search
online.
Past digital records: A
simple study of our e-mail history and employment records can state
everything about our professional life like our behaviour, ethics,
conduct, accomplishments, skills, career growth and more.
Similarly, our medical reports would
show what illnesses we had during that period, what diseases/illness we
are most prone to and what treatments we have already received.
Likewise, with a quick run-through of
our financial records (bank statements, investment statements,
asset/property purchase and sales records) one can easily guess the
gains and losses we had with respect to time – how bad/good we are at
making decisions, how much debt we have, what possessions we have and
what we have lost.
With the arrival of advanced and wearable devices: With
the advent of wearable fitness devices, we will be literally storing
every movement of our day-to-day life. The patterns of our body
movement, breathing, heartbeat, and perhaps even brain activity would
all be there for the taking. If analyzed, one could see how much
exercise we do, how much sleep we get every day, and how our biological
activities change with respect to time and location, and with
those changes, what thoughts, actions, and mood changes get invoked in
our brain. In other words, an analysis of our brain activity would tell
what kind of dream (good/bad) we had on the same night three years ago.
With the internet of things, our
interaction with every single household device is set to go digital. And
a careful examination of this data would tell a whole lot about our
day-to-day life. With new devices like tech glasses on the rise, we
will be saving everything that we see and every bit of sound that we
hear or speak in the future. Whatever our senses perceive is also
perceived by these devices and gets stored somewhere.
Analysis of data to derive prediction rules/formulas: We
might be surprised to learn that if all this data pertaining to a
person can be retrieved and consolidated in a timeline, a digital form
of memory system parallel to that of our own could be developed, and it
would be so vastly powerful that the human brain would appear far
inferior in comparison.
If the above mentioned digital data
about a very large number of people, cutting across various geographies,
races, and economic classes, can be collected and analyzed effectively
with sophisticated algorithms, then all the personality traits and past
life events of individuals can be determined with great accuracy.
With this information in hand anyone can
become a matchmaking astrologer. Any individual can predict whether a
successful marriage between a couple would be possible or not based on
their personality trait compatibility, sexual preferences, commonalities
and interests (travel, music, art, shopping).
The analysis of all of this data may
also reveal how our behaviour, thoughts, interests, appearance, bodily
functions, and certain aspects of our personality go through changes
with respect to location and time? Could we then determine if these
occurrences and changes show any predictable patterns with respect to
location, age, geography, seasonal changes, and planetary alignment at
the time of birth? If so, then it would validate the Vedic time
astrology systems (formulas). If not, then it might still help us
uncover other unknown factors which could be playing a role in defining
our personality and our life events, such as biometric data or gene
sequencing, thus making a new prediction system possible.
What are your thoughts on the potential of a life prediction system? Let us know via the comment section below!
Related Content
http://www.bloomberg.com/news/2014-12-29/big-data-knows-when-you-re-going-to-quit-your-job-before-you-do.html
http://www.networkworld.com/article/2686051/big-data-business-intelligence/predicting-crime-with-big-data-welcome-to-minority-report-for-real.html
http://en.wikipedia.org/wiki/Bhrigu_Samhita
http://www.bloomberg.com/news/2014-12-29/big-data-knows-when-you-re-going-to-quit-your-job-before-you-do.html
http://www.networkworld.com/article/2686051/big-data-business-intelligence/predicting-crime-with-big-data-welcome-to-minority-report-for-real.html
http://en.wikipedia.org/wiki/Bhrigu_Samhita
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