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The Astro
Investigators
A
NEW FUTURISTIC VIEW OF ASTROLOGICAL RESEARCH
By
Alphee Lavoie, Former NCGR Research Director, NCGR Level IV
Wouldn't it be wonderful if, in just seconds, a parent or a teacher could find the right career potential for any child?
With serious work, Astrology has exactly that potential to make this possible
Air Software’s Astro
Investigators Research Program has a module in which we use
NeuralNet mathematics to create an artificial intelligence to give weights to
thousands of Astronomical/Astrological criteria. The program uses 75% of the
group sample to educate the computer, and then 25% of the group sample to test
the findings against it. By using various statistical mathematics, it arrives at
strong and weak criteria that the control group has in common. Depending on the
strength or weakness of these criteria, the program assigns each one a weight
value. In this system, we use the regular Astrological criteria but also go far
beyond that, using different, unusual, and out of the ordinary criteria, such
as, planetary phases, aspect between planetary phases, planetary speed and
acceleration, all types of planetary pictures and much more.
We took thousands of charts of scientists, musicians, actors, military people, teachers, and sportsmen and ran them through the NeuralNet program to create special models. Once these models are made, an entire file of natal charts can be compared with each of these models and weighed accordingly. This is a wonderful feature that lends itself to so many areas of research. For example, we could take thousands of natal charts of youngsters and see what profession each child would be best suited for according to the natal chart. Our goal is to create hundreds of these NeuralNet models for many professions. The biggest problem that we have in astrology is getting accurate birth times…just the birth date is not good enough. This is not an easy job. According to a survey, there are at least 2 million people who believe in astrology. If we can convince all these people to send us their birth data, we would have no problem; we’d have sufficient data.
EXAMPLE
OF OUR RESEARCH
The following graph shows actors. I purposely chose actors who
are also singers to show where their talents lie. Is their talent that of a
singer or actor?
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The next graph is of sports people. Notice that even though a
sport person can be aggressive they would not be good military people. Look at
the three boxers.
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The adjacent graph is of musicians.
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The adjacent graph is of scientists. All of them show talents
in science but also as teachers.
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The next graph is of people in the Military. NOTICE that
Hitler is a better actor than a Military person.
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THE SAME
TECHNIQUES WORK TO FORECAST RAIN
I took all the days when we had over an inch of rain in Connecticut, from 1948 to 1999. I then calculated all the Quarter Moons before these days and ran the Quarter Moons through one of the NeuralNet modules of our AIR Software’s Astro Investigator Software. The Neural Net’s artificial intelligence created a model for 1 inch of rain or more. I can use this model to forecast the possibilities of rain falling in Connecticut. The graph above displays that.
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Thanks Alphee