RESEARCHING MENSA - AstroInvestigators · RESEARCHING MENSA Contributed by ... the Mensa Society, ... Mensa set a 98th percentile cutoff on test results to qualify. That is, the candidate

RESEARCHING MENSA

Contributed by Astroinvestigators

Diane Sabel & Steven Zimmerman

INTRODUCTION

“In some parts of life, like mathematics and science, yeah, I was a genius. I

would top all the top scores you could ever measure it by.” Steve Wozniak

Co-Founder, Apple Inc.

What makes a person a genius? How can we measure intelligence? In

1946, two English barristers, Roland Berrill and Doctor Lance Ware, founded

the Mensa Society, whose stated purpose was threefold.

1. To identify and foster human intelligence for the benefit of

humanity.

2. To promote research into the nature, uses and characteristics of

intelligence.

3. To provide stimulating intellectual and social opportunities for

Mensa members.

The word Mensa means table, and Mensa is a round table society where

race, religion, nationality, age, education and politics are ignored.

To address the question of how do you define a genius, Mensa set a 98th

percentile cutoff on test results to qualify. That is, the candidate would

have to score better than 98% of the general population on standardized

intelligence tests to be admitted to the society.

ABSTRACT

The goal of this research project is to determine if there is anastrological

“signature” in the natal charts of persons who are Mensa members.

METHODOLOGY

The AstroInvestigators have collected389 charts of Mensa members, which will be evaluated in comparison to an automatically generated control group to determine whether or not the Mensa members have a “genius signature” in their charts that is not present in the charts of the control group. We also have 99 charts of people with limited education for comparison.We used the Air Software Fast Research program to conduct our research. More information about this program is available at www.alphee.com. We have created models of events to evaluate based upon what we might expect to see in the natal charts of geniuses, such as the positions and aspects of Mercury. The scope of this study will cover the Ptolemaic aspects plus many more, using the Modern rulers and the Placidus house system. The Fast Research program has the chi-square set to two, control groups created randomly with the amount of the control group consisting of 50 generated charts per natal chart. The orb for the aspects has been set to 5°. Over 700 different criteria will be evaluated by the Fast Research software.

RESULTS

For the sets of criteria to be evaluated, the charts of Mensa members were

compared to a control group of charts generated by the AIR Fast Research

program. For purposes of comparison, the charts of persons with limited

education will also be evaluated by the Fast Research program. Here are

the results for the chart files evaluated by the Fast Research program. The

commentary for each group will focus on the results that occurred “often”.

The results that are listed as “seldom” are shown, but just for the purpose

of comparison. The seldom results give us what we would not expect to

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see; in other words, what is not working as a criteria to use for the final

Neural Net Model.

RESULTS BY SIGN

Mensa Table 1

Limited Education Table 2

When we begin to evaluate the results for the data by sign, we must first

point out that when we see a result that is strong for both Mensa members

and persons of limited education that would not be used for determining a

candidate for Mensa. For example, in this data set, we have Mars in Gemini

EVENT Mensa Sign OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT ([)ö(´) 43 31.7 4.0 (95.5%) OFTEN

NAT (_)ö(Ã) 41 32.3 2.4 (87.5%) OFTEN

NAT (a)ö(¿) 46 35.4 3.2 (92.6%) OFTEN

NAT (g)ö(ª) 45 33.5 4.0 (95.4%) OFTEN

NAT ([)ö(§) 22 33.7 4.1 (95.6%) SELDOM

NAT (a)ö(§) 23 31 2.1 (84.9%) SELDOM

NAT (a)ö(FIRE SIGNS) 80 94.9 2.3 (87.4%) SELDOM

NAT (c)ö(¥) 27 35.6 2.1 (84.9%) SELDOM

NAT (g)ö(§) 19 26.3 2.0 (84.7%) SELDOM

NAT (g)ö(FIXED SIGNS) 106 124.7 2.8 (90.7%) SELDOM

EVENT Ltd IQ Signs OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT ([)ö(¥) 13 8.6 2.2 (86.2%) OFTEN

NAT ([)ö(§) 13 8.1 3.0 (91.8%) OFTEN

NAT ([)ö(FIXED SIGNS) 41 32.3 2.3 (87.2%) OFTEN

NAT (a)ö(¥) 13 8 3.1 (92.1%) OFTEN

NAT (c)ö(¥) 14 8.2 4.1 (95.8%) OFTEN

NAT (g)ö(ª) 13 8.8 2.0 (84.3%) OFTEN

NAT (g)ö(Æ) 13 5.9 8.5 (99.7%) OFTEN

NAT (g)ö(EASTER HEMISPHERE) 59 44.1 5.1 (97.6%) OFTEN

NAT (j)ö(Ã) 15 9.7 2.9 (91.0%) OFTEN

NAT (j)ö(FIXED SIGNS) 40 31.1 2.6 (89.0%) OFTEN

NAT ([)ö(´) 3 8.2 3.3 (93.2%) SELDOM

NAT ([)ö(¿) 3 8.2 3.3 (92.9%) SELDOM

NAT ([)ö(MUTABLE SIGNS) 23 32.9 3.0 (91.5%) SELDOM

NAT (_)ö(¾) 3 8.1 3.2 (92.6%) SELDOM

NAT (c)ö(¾) 3 8.3 3.4 (93.5%) SELDOM

NAT (g)ö(FIRE SIGNS) 16 24.8 3.1 (92.3%) SELDOM

NAT (g)ö(WESTERN HEMISPHERE) 40 54.9 4.1 (95.6%) SELDOM

NAT (j)ö(EARTH SIGNS) 17 25.1 2.6 (89.5%) SELDOM

NAT (m)ö(¾) 5 9.7 2.3 (86.7%) SELDOM

NAT (m)ö(FIRE SIGNS) 16 22.8 2.0 (84.5%) SELDOM

appearing in both results, so we would exclude this from our model. What

we would focus on is Mensa having the Sun in Virgo with a chi-square of 4.0

and a 95.5% of appearing in the natal charts of Mensa members. The

strong result for the Moon in Aquarius and Mercury in Capricorn (see table

1) must also be included in the final model to run through Neural Net.

RESULTS BY SPEED

Mensa Table 3

Limited EducationTable 4

When we run the data for both groups through the research program with

the criteria for planetary speed, Mercury direct in motion has a chi-square

of 3.4 and a 93.3% probability of occurring in Mensa charts, while we don’t

find that in the charts of those whose education is limited. The Limited

education group has more involvement with Saturn, and the outers.

EVENT MENSA SPEED OCCURENCE AVERAGE CONTROL CHi SQ.(PROB) STAT

NAT (a) (D) 330 316.4 3.4 (93.3%) OFTEN

NAT (a) (SLOW)(D) 171 150.3 4.6 (96.7%) OFTEN

NAT (g) (õ)(#) 30 18.4 5.9 (98.5%) OFTEN

NAT (g) (SLOW)(#) 42 31.9 3.1 (91.9%) OFTEN

NAT (j) (STATIONARY)(#) 28 19.1 3.6 (94.2%) OFTEN

NAT (o) (SLOW)(#) 95 80.4 3.1 (92.3%) OFTEN

NAT (x) (D) 255 236.1 4.0 (95.4%) OFTEN

NAT (x) (FAST)(D) 160 138.8 4.9 (97.3%) OFTEN

NAT (a) (#) 59 72.6 3.4 (93.3%) SELDOM

NAT (g) (SLOW)(D) 46 60.4 4.5 (96.6%) SELDOM

NAT (o) (ô)(D) 93 113.8 5.7 (98.3%) SELDOM

NAT (x) (#) 134 152.9 4.0 (95.4%) SELDOM

EVENT Ltd IQ Speed OCCURENCE AVERAGE CONTROL CHi SQ.(PROB) STAT

NAT (m) (ô)(D) 40 31.2 3.4 (93.4%) OFTEN

NAT (m) (STATIONARY)(D) 12 6.7 3.4 (93.3%) OFTEN

NAT (r) (ô)(#) 31 21.5 4.7 (96.9%) OFTEN

NAT (w) (ô)(D) 36 27.8 3.1 (92.2%) OFTEN

NAT (w) (STATIONARY)(D) 16 6.6 8.8 (99.7%) OFTEN

NAT (x) (ô)(D) 39 29.3 4.2 (96.0%) OFTEN

NAT (m) (õ)(#) 11 18.5 4.5 (96.6%) SELDOM

NAT (r) (ô)(D) 18 27.9 5.6 (98.2%) SELDOM

NAT (w) (FAST)(D) 25 33.1 3.2 (92.6%) SELDOM

NAT (x) (õ)(D) 19 29.1 5.6 (98.2%) SELDOM

RESULTS MORE BY SIGN AND OTHERS

Mensa Table 5

EVENT Mensa Sign and More OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT (a)ö(EARTH SIGNS) 108 93.4 2.3 (87.0%) OFTEN

NAT [ IN SIGN DETRIMENT BY j 78 64.8 2.7 (90.0%) OFTEN

NAT [ IN SIGN DETRIMENT(MODERN) BY r 43 31.1 4.5 (96.7%) OFTEN

NAT [ IN SIGN EXALTED BY a 79 63.7 3.7 (94.4%) OFTEN

NAT [ IN SIGN FALL OF c 43 31.1 4.5 (96.7%) OFTEN

NAT [ IN SIGN RULED BY a 78 64.8 2.7 (90.0%) OFTEN

NAT [ IN SIGN RULED(MODERN) BY a 78 64.8 2.7 (90.0%) OFTEN

NAT a IN SIGN DETRIMENT BY _ 46 34.6 3.7 (94.7%) OFTEN

NAT a IN SIGN DETRIMENT(MODERN) BY _ 46 34.6 3.7 (94.7%) OFTEN

NAT a IN SIGN DETRIMENT(MODERN) BY r 39 30.6 2.3 (87.0%) OFTEN

NAT a IN SIGN EXALTED BY g 46 34.6 3.7 (94.7%) OFTEN

NAT a IN SIGN FALL OF c 39 30.6 2.3 (87.0%) OFTEN

NAT a IN SIGN FALL OF j 46 34.6 3.7 (94.7%) OFTEN

NAT a IN SIGN RULED(MODERN) BY m 46 34.6 3.7 (94.7%) OFTEN

NAT c IN OWN SIGN OF EXALTATION 35 27.3 2.2 (85.9%) OFTEN

NAT c IN SIGN FALL OF a 68 54.8 3.2 (92.6%) OFTEN

NAT c IN SIGN RULED(MODERN) BY r 35 27.3 2.2 (85.9%) OFTEN

NAT g IN SIGN DETRIMENT(MODERN) BY j 45 32.3 5.0 (97.5%) OFTEN

NAT m IN SIGN DETRIMENT(MODERN) BY j 40 31.7 2.1 (85.7%) OFTEN

NAT ([)ö(FIRE SIGNS) 84 98.2 2.1 (84.8%) SELDOM

NAT (a)ö(FIRE SIGNS) 80 96 2.7 (89.7%) SELDOM

NAT (g)ö(EARTH SIGNS) 83 99.7 2.8 (90.7%) SELDOM


NAT [ IN SIGN DETRIMENT BY g 51 63.6 2.5 (88.5%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY w 22 31.1 2.6 (89.6%) SELDOM

NAT [ IN SIGN EXALTED BY _ 22 31.1 2.6 (89.6%) SELDOM

NAT [ IN SIGN RULED BY c 51 63.6 2.5 (88.5%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY c 51 63.6 2.5 (88.5%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY j 24 32.8 2.4 (87.6%) SELDOM

NAT c IN OWN SIGN OF DETRIMENT 57 70.9 2.7 (90.0%) SELDOM

NAT c IN OWN SIGN OF DETRIMENT(MODERN) 57 70.9 2.7 (90.0%) SELDOM

NAT c IN SIGN RULED BY g 57 70.9 2.7 (90.0%) SELDOM

NAT g IN SIGN DETRIMENT(MODERN) BY w 19 27.6 2.7 (89.9%) SELDOM

NAT g IN SIGN EXALTED BY _ 19 27.6 2.7 (89.9%) SELDOM


For this particular set of criteria, we see that Mercury in Earth signs has

returned a very positive result with a chi-square of 2.3 and an 87.0%

probability of Mercury being posited in an Earth sign in the charts of Mensa

members. As we can see on Table 5, there are many more criteria that

have a good result, and these will be included in the final model. What

stands out, as with the other criteria sets we have studied so far, there is a

preponderance of events that have occurred in the charts in the charts of

EVENT Ltd IQ Signs and More OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT


NAT (j)ö(DAY(DIURNAL) SIGNS) 58 47.9 2.1 (85.7%) OFTEN

NAT [ IN OWN SIGN OF EXALTATION 13 8.1 3.0 (91.8%) OFTEN

NAT [ IN SIGN DETRIMENT(MODERN) BY w 13 8.2 2.7 (90.3%) OFTEN

NAT [ IN SIGN EXALTED BY _ 13 8.2 2.7 (90.3%) OFTEN

NAT [ IN SIGN FALL OF m 13 8.1 3.0 (91.8%) OFTEN

NAT [ IN SIGN RULED(MODERN) BY g 13 8.1 3.0 (91.8%) OFTEN

NAT a IN SIGN EXALTED BY [ 13 8 3.2 (92.5%) OFTEN

NAT a IN SIGN FALL OF m 13 8 3.2 (92.5%) OFTEN

NAT a IN SIGN RULED(MODERN) BY g 13 8 3.2 (92.5%) OFTEN

NAT c IN SIGN EXALTED BY [ 14 8.5 3.5 (93.9%) OFTEN

NAT c IN SIGN FALL OF m 14 8.5 3.5 (93.9%) OFTEN

NAT c IN SIGN RULED(MODERN) BY g 14 8.5 3.5 (93.9%) OFTEN


NAT g IN SIGN EXALTED BY c 13 6.3 7.1 (99.2%) OFTEN

NAT g IN SIGN RULED BY m 19 13.5 2.2 (86.5%) OFTEN

NAT g IN SIGN RULED(MODERN) BY r 13 6.3 7.1 (99.2%) OFTEN

NAT j IN SIGN DETRIMENT BY [ 15 9.8 2.8 (90.5%) OFTEN

NAT j IN SIGN DETRIMENT(MODERN) BY [ 15 9.8 2.8 (90.5%) OFTEN

NAT j IN SIGN RULED(MODERN) BY o 15 9.8 2.8 (90.5%) OFTEN





NAT (j)ö(NIGHT(NOCTURNAL) SIGNS) 41 51.1 2.0 (84.4%) SELDOM

NAT [ IN SIGN DETRIMENT BY _ 3 7.4 2.6 (89.5%) SELDOM

NAT [ IN SIGN DETRIMENT BY j 9 17.1 3.9 (95.1%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY _ 3 7.4 2.6 (89.5%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY r 3 8.6 3.7 (94.5%) SELDOM

NAT [ IN SIGN EXALTED BY g 3 7.4 2.6 (89.5%) SELDOM

NAT [ IN SIGN FALL OF c 3 8.6 3.7 (94.5%) SELDOM

NAT [ IN SIGN FALL OF j 3 7.4 2.6 (89.5%) SELDOM

NAT [ IN SIGN RULED BY a 9 17.1 3.9 (95.1%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY a 9 17.1 3.9 (95.1%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY m 3 7.4 2.6 (89.5%) SELDOM

NAT _ IN SIGN RULED(MODERN) BY j 3 8.3 3.4 (93.3%) SELDOM

NAT c IN SIGN RULED(MODERN) BY j 3 8.1 3.2 (92.6%) SELDOM

the Mensa members that are not occurring in the charts of people with a

limited education. This is what we are looking for to build a model for

Neural Net.

RESULTS MISCELANEUS

MENSA Table 7

EVENT MENSA MISC OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT 2 a PHASE 52 40.6 3.2 (92.6%) OFTEN

NAT 5 a PHASE 77 65.3 2.1 (85.1%) OFTEN

NAT 6 o PHASE 66 49.9 5.2 (97.8%) OFTEN

NAT 6 w PHASE 60 47.4 3.3 (93.2%) OFTEN

NAT 8 g PHASE 29 18.5 5.9 (98.5%) OFTEN

NAT (_) ö ( -50°..-23°28') DECLIN 38 29.9 2.2 (86.4%) OFTEN

NAT (j) ö ( 23°28'..50°) DECLIN 3 1.1 3.6 (94.1%) OFTEN

NAT (o) APHELION ORB 00°12' 2 0.46 5.2 (97.7%) OFTEN

[ FIRST RISING BEFORE r 28 21 2.3 (87.5%) OFTEN

a FIRST RISING BEFORE g 46 37.2 2.1 (85.0%) OFTEN

a INTERCEPTED 48 38.4 2.4 (88.1%) OFTEN

m FIRST RISING BEFORE _ 59 47.5 2.8 (90.4%) OFTEN

o INTERCEPTED 49 38.5 2.9 (91.0%) OFTEN

r FIRST RISING BEFORE c 48 37.8 2.7 (90.2%) OFTEN

r INTERCEPTED 56 43.2 3.8 (94.9%) OFTEN

NAT a IN DECANATE RULED BY j 31 19.8 6.6 (99.0%) OFTEN

NAT (g) BACK NAT w 59 46.6 6.3 (98.8%) OFTEN

NAT g IN FACE OF j 23 13.7 5.7 (98.3%) OFTEN

[ FIRST RISING BEFORE m 13 6.4 4.9 (97.3%) OFTEN


NAT ([) BACK NAT m 59 48.4 4.6 (96.7%) OFTEN

c FIRST RISING BEFORE x 14 7.7 4.0 (95.6%) OFTEN

NAT RULE OF ì IN › 14 7.8 4.0 (95.4%) OFTEN

_ FIRST RISING BEFORE [ 11 5.6 3.8 (95.0%) OFTEN

NAT RULE OF ì IN ë 15 8.8 3.6 (94.4%) OFTEN

NAT (c)ö(ë NAT) 15 9 3.4 (93.3%) OFTEN

NAT (a)ö(ë NAT) 54 32 12.7 (100.0%)OFTEN

NAT m IN FACE OF [ 8 3.7 3.3 (92.9%) OFTEN

NAT (m)ö(í NAT) 75 61.4 3.3 (92.9%) OFTEN

NAT (x)ö(‹ NAT) 10 3.5 6.4 (98.9%) OFTEN

NAT RULE OF “ IN ë 20 10.9 5.6 (98.2%) OFTEN

NAT RULE OF • IN ‹ 10 3.9 5.4 (97.9%) OFTEN

NAT (a)ö(¿) 9 3.7 4.6 (96.8%) OFTEN



NAT c IN OWN SIGN OF DETRIMENT 7 2.4 4.6 (96.7%) OFTEN

NAT c IN SIGN RULED BY g 7 2.4 4.6 (96.7%) OFTEN

NAT PLANETS AND xñ 90-120-150 NAT PLANETS AND xñ 4 0.76 4.4 (96.5%) OFTEN

NAT ([)ö(ë NAT) 11 5.2 4.3 (96.1%) OFTEN

NAT (a)ö(NIGHT(NOCTURNAL) SIGNS) 215 195.8 3.8 (94.9%) OFTEN

NAT PLANETS AND xñ MYSTIC RECTANGLE NAT PLANETS AND xñ 3 0.52 3.5 (93.9%) OFTEN

NAT o IN EGYPT TERM c 5 1.6 3.5 (93.8%) OFTEN

r FIRST RISING BEFORE g 7 2.9 3.4 (93.5%) OFTEN

NAT 2 g PHASE 24 34.6 3.2 (92.8%) SELDOM

NAT 3 o PHASE 33 48.9 5.2 (97.7%) SELDOM

NAT 7 w PHASE 37 47.6 2.4 (87.6%) SELDOM

NAT 8 r PHASE 36 47.9 3.0 (91.5%) SELDOM

NAT (c) BACK NAT o 170 189.9 2.1 (85.1%) SELDOM

j FIRST RISING BEFORE a 22 30.2 2.2 (86.6%) SELDOM

m FIRST RISING BEFORE a 20 29.2 2.9 (91.1%) SELDOM

r FIRST RISING BEFORE g 49 61.1 2.4 (87.9%) SELDOM

NAT (a)ö(« NAT) 19 34.3 9.5 (99.8%) SELDOM

NAT ([)ö(‹ NAT) 18 33 9.4 (99.8%) SELDOM


Once again when we evaluate the data using the listed criteria, we can see a

marked difference in the results. The Mensa members clearly have

elements in their charts that are lacking in the charts of persons with a

limited education. In particular, for Mensa we find that Mercury is

intercepted with a chi-square of with a chi-square of 2.4 and an 88.1%

probability that Mensa members would have this aspect. Neptune and

Uranus are also intercepted with a high probability of occurring in the

Mensa members. (See Table 7) Conversely, in the charts of limited

education people, we see Mars intercepted, with a chi-square of 4.7 and a

97.0% probability that we when we find this interception in the natal chart,

that person would fall into the category of a person with limited education.

EVENT Ltd IQ Misc OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT 1 a PHASE 13 7.8 3.5 (94.0%) OFTEN

NAT 2 m PHASE 17 11.9 2.2 (86.3%) OFTEN

NAT 2 r PHASE 19 11.7 4.6 (96.7%) OFTEN

NAT 3 w PHASE 18 12.1 2.8 (90.8%) OFTEN

NAT WANING CRESCENT MOON 19 11.8 4.4 (96.4%) OFTEN

NAT ([) BACK NAT m 59 48 2.5 (88.6%) OFTEN

NAT (g) BACK NAT w 59 46.7 3.3 (92.8%) OFTEN

NAT PLANETS 120-60-180 NAT PLANETS 46 37 2.2 (86.2%) OFTEN

[ FIRST RISING BEFORE _ 10 6.1 2.5 (88.8%) OFTEN

[ FIRST RISING BEFORE m 13 6 8.3 (99.6%) OFTEN

_ FIRST RISING BEFORE [ 11 5.9 4.4 (96.4%) OFTEN

_ FIRST RISING BEFORE a 11 6.4 3.3 (92.9%) OFTEN

g INTERCEPTED 16 9.4 4.7 (97.0%) OFTEN

m FIRST RISING BEFORE c 13 8.3 2.7 (89.7%) OFTEN

NAT 1 o PHASE 6 11.9 2.9 (91.3%) SELDOM

NAT 1 w PHASE 7 12 2.1 (85.0%) SELDOM

NAT 3 r PHASE 6 13.2 3.9 (95.3%) SELDOM

NAT 4 c PHASE 13 21.6 3.4 (93.5%) SELDOM

NAT 8 m PHASE 6 11.1 2.3 (87.2%) SELDOM

NAT FIRST QUARTER MOON 6 12 3.0 (91.8%) SELDOM

NAT (_) ö ( -50°..-23°28') DECLIN 3 6.8 2.1 (85.3%) SELDOM

NAT (a) ö ( 23°28'..50°) DECLIN 1 5 3.2 (92.7%) SELDOM

[ FIRST RISING BEFORE ñ 2 6.2 2.8 (90.7%) SELDOM

[ INTERCEPTED 5 10.2 2.7 (89.8%) SELDOM

o FIRST RISING BEFORE j 3 7.5 2.7 (90.0%) SELDOM

w FIRST RISING BEFORE g 3 6.9 2.2 (86.1%) SELDOM

RESULTS BY RULERS

Mensa Table 9

EVENT MENSA RULERS OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT [ IN SIGN DETRIMENT(MODERN) BY r 43 33.6 2.6 (89.3%) OFTEN

NAT [ IN SIGN EXALTED BY a 79 63.9 3.6 (94.2%) OFTEN

NAT [ IN SIGN FALL OF c 43 33.6 2.6 (89.3%) OFTEN


NAT a IN SIGN DETRIMENT(MODERN) BY _ 46 34.6 3.7 (94.7%) OFTEN

NAT a IN SIGN EXALTED BY g 46 34.6 3.7 (94.7%) OFTEN


NAT a IN SIGN RULED(MODERN) BY m 46 34.6 3.7 (94.7%) OFTEN



NAT c IN SIGN FALL OF a 68 53.5 3.9 (95.3%) OFTEN

NAT c IN SIGN RULED(MODERN) BY r 35 25.8 3.3 (93.0%) OFTEN


NAT ([)ö(FIRE SIGNS) 84 98 2.0 (84.4%) SELDOM

NAT ([)ö(FIRE SIGNS) 84 98 2.0 (84.4%) SELDOM





NAT [ IN SIGN DETRIMENT BY g 51 65.3 3.1 (92.3%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY w 22 31.9 3.1 (91.9%) SELDOM

NAT [ IN SIGN EXALTED BY _ 22 31.9 3.1 (91.9%) SELDOM

NAT [ IN SIGN RULED BY c 51 65.3 3.1 (92.3%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY c 51 65.3 3.1 (92.3%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY j 24 33.1 2.5 (88.6%) SELDOM





NAT c IN SIGN RULED BY g 57 70.2 2.5 (88.5%) SELDOM

NAT g IN SIGN DETRIMENT(MODERN) BY w 19 26.8 2.3 (86.6%) SELDOM

NAT g IN SIGN EXALTED BY _ 19 26.8 2.3 (86.6%) SELDOM


When evaluating the results by planetary rulers, once again we find that

that there is a marked difference in the results between the Mensa

members and limited education persons. For example, the Sun appearing in

a sign exalted by Mercury (Virgo), has a 3.6 chi square andand a 94.2%

probability of appearing in the charts of Mensa members. In the file of the

persons with limited education, the Sun appears in the sign of its own

exaltation, (Aries), with a rather low occurrence, but with a chi-square of

3.1 and a probability of 92.1%. See tables 9 and 10 for more examples.

EVENT Ltd IQ Rulers OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT


NAT [ IN OWN SIGN OF EXALTATION 13 8 3.1 (92.1%) OFTEN

NAT [ IN SIGN FALL OF m 13 8 3.1 (92.1%) OFTEN

NAT [ IN SIGN RULED(MODERN) BY g 13 8 3.1 (92.1%) OFTEN

NAT _ IN SIGN DETRIMENT BY [ 12 7.7 2.3 (87.4%) OFTEN

NAT _ IN SIGN DETRIMENT(MODERN) BY [ 12 7.7 2.3 (87.4%) OFTEN

NAT _ IN SIGN RULED(MODERN) BY o 12 7.7 2.3 (87.4%) OFTEN

NAT a IN OWN SIGN OF FALL 22 15.8 2.4 (88.1%) OFTEN

NAT a IN SIGN EXALTED BY [ 13 8.8 2.0 (84.6%) OFTEN

NAT a IN SIGN FALL OF m 13 8.8 2.0 (84.6%) OFTEN

NAT a IN SIGN RULED(MODERN) BY g 13 8.8 2.0 (84.6%) OFTEN

NAT c IN SIGN EXALTED BY [ 14 8.3 3.9 (95.2%) OFTEN

NAT c IN SIGN FALL OF m 14 8.3 3.9 (95.2%) OFTEN

NAT c IN SIGN RULED(MODERN) BY g 14 8.3 3.9 (95.2%) OFTEN

NAT g IN SIGN EXALTED BY c 13 6.3 7.2 (99.3%) OFTEN


NAT ([)ö(EARTH SIGNS) 19 26.5 2.1 (85.4%) SELDOM





NAT (m)ö(FIRE SIGNS) 16 23.2 2.2 (86.4%) SELDOM

NAT [ IN SIGN DETRIMENT BY _ 3 7.8 3.0 (91.4%) SELDOM

NAT [ IN SIGN DETRIMENT BY j 9 17.4 4.0 (95.6%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY _ 3 7.8 3.0 (91.4%) SELDOM

NAT [ IN SIGN DETRIMENT(MODERN) BY r 3 9.2 4.2 (95.9%) SELDOM

NAT [ IN SIGN EXALTED BY g 3 7.8 3.0 (91.4%) SELDOM

NAT [ IN SIGN FALL OF c 3 9.2 4.2 (95.9%) SELDOM

NAT [ IN SIGN FALL OF j 3 7.8 3.0 (91.4%) SELDOM

NAT [ IN SIGN RULED BY a 9 17.4 4.0 (95.6%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY a 9 17.4 4.0 (95.6%) SELDOM

NAT [ IN SIGN RULED(MODERN) BY m 3 7.8 3.0 (91.4%) SELDOM

NAT _ IN SIGN RULED(MODERN) BY j 3 8.5 3.5 (94.0%) SELDOM

NAT c IN SIGN RULED(MODERN) BY j 3 7.9 3.0 (91.9%) SELDOM

NAT m IN SIGN RULED(MODERN) BY j 5 9.4 2.1 (84.9%) SELDOM

RESULTS BY HOUSE

Mensa Table 11


EVENT MENSA HOUSE OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT ([)ö(„ NAT) 40 31.9 2.1 (84.9%) OFTEN

NAT ([)ö(ë NAT) 44 32 4.5 (96.5%) OFTEN

NAT (a)ö(› NAT) 43 31.3 4.3 (96.3%) OFTEN

NAT (a)ö(ë NAT) 54 32.9 13.5 (100.0%) OFTEN

NAT (c)ö(„ NAT) 50 31.7 10.5 (99.9%) OFTEN

NAT (c)ö(ð NAT) 44 32.6 4.0 (95.5%) OFTEN

NAT (c)ö(ë NAT) 42 32 3.1 (92.1%) OFTEN

NAT (g)ö(ð NAT) 45 33.3 4.1 (95.7%) OFTEN

NAT (g)ö(ï NAT) 43 31.6 4.1 (95.7%) OFTEN

NAT (j)ö(ì NAT) 45 34.4 3.3 (92.9%) OFTEN

NAT (m)ö(„ NAT) 43 32.2 3.6 (94.2%) OFTEN

NAT (m)ö(‹ NAT) 42 33.4 2.2 (86.4%) OFTEN

NAT (r)ö(« NAT) 41 31.3 3.0 (91.6%) OFTEN

NAT ([)ö(‹ NAT) 18 34.4 7.8 (99.5%) SELDOM

NAT ([)ö(î NAT) 22 32.6 3.4 (93.7%) SELDOM

NAT (a)ö(‹ NAT) 22 32.8 3.6 (94.1%) SELDOM

NAT (a)ö(« NAT) 19 33.8 6.5 (99.0%) SELDOM

NAT (c)ö(‹ NAT) 20 33.7 5.6 (98.2%) SELDOM

NAT (c)ö(› NAT) 19 32.4 5.6 (98.2%) SELDOM

NAT (g)ö(î NAT) 22 32.1 3.2 (92.4%) SELDOM

NAT (j)ö(ð NAT) 23 33.3 3.2 (92.5%) SELDOM

NAT (m)ö(í NAT) 23 32.5 2.8 (90.3%) SELDOM

EVENT Ltd IQ House OCCURENCEAVERAGE CONTROLCHi SQ.(PROB)STAT

NAT (_)ö(ë NAT) 12 7.9 2.2 (85.8%) OFTEN

NAT (c)ö(ë NAT) 15 8.9 4.1 (95.8%) OFTEN

NAT (j)ö(ë NAT) 13 7.9 3.3 (92.8%) OFTEN

NAT (m)ö(ð NAT) 13 8.3 2.6 (89.5%) OFTEN

NAT (o)ö(„ NAT) 12 7.9 2.1 (85.5%) OFTEN

NAT (r)ö(„ NAT) 14 8.7 3.2 (92.6%) OFTEN

NAT (w)ö(ð NAT) 15 9 4.0 (95.6%) OFTEN

NAT (w)ö(ë NAT) 12 7 3.5 (93.9%) OFTEN

NAT ([)ö(„ NAT) 4 8.3 2.3 (86.7%) SELDOM

NAT (j)ö(î NAT) 4 8.7 2.6 (89.1%) SELDOM

NAT (m)ö(‹ NAT) 3 8.4 3.4 (93.6%) SELDOM

NAT (o)ö(î NAT) 2 7.7 4.3 (96.1%) SELDOM

NAT (w)ö(„ NAT) 2 7.2 3.8 (94.8%) SELDOM

The evaluation of the planets by house have given us results that are in step

with what we have seen so far. The two chart files, Mensa members and

limited education people, have given us clear indications of which criteria

are present in one file not appearing in the other. For instance, the Sun

appearing in the 1st house with a chi-square of 2.1 has a probability of

84.9% of appearing in the natal charts of Mensa members. The Mensa

group also has Mercury posited in the 10th house, with a chi-square of 4.3

and a probability of 96.3 to be found in Mensa group. For the limited

education group, nothing really stands out, except the fact that are no

results for Mercury or the Sun. See more results on tables 11 and 12.

RESULTS BY ASPECTS

Mensa Table 13

EVENT OCCURENCE AVERAGE CONTROL CHi SQ.(PROB) STAT

NAT c ( D) Í NAT w ( #) SEPARATE MAXORB 05° 10 2.7 8.7 (99.7%) OFTEN

NAT _ Ï NAT o ( D) MAXORB 05° BACK 50 32.3 8.5 (99.6%) OFTEN

NAT _ É NAT a SEPARATE MAXORB 05° 18 8.8 6.6 (99.0%) OFTEN

NAT m ( D) Í NAT r ( D) MAXORB 05° BACK 34 21 6.6 (99.0%) OFTEN

NAT [ Ì NAT ñ SEPARATE MAXORB 05° FRONT 11 4.1 6.3 (98.9%) OFTEN

NAT _ Ï NAT m SEPARATE MAXORB 05° FRONT 38 24.5 6.3 (98.9%) OFTEN

NAT c Í NAT w APPLY MAXORB 05° FRONT 10 3.5 6.3 (98.8%) OFTEN

NAT _ Ï NAT m APPLY MAXORB 05° FRONT 6 1.4 5.9 (98.5%) OFTEN

NAT a ( D) Í NAT r ( D) APPLY MAXORB 05° BACK 10 3.8 5.8 (98.4%) OFTEN

NAT j Ï NAT r SEPARATE MAXORB 05° BACK 7 2 5.7 (98.3%) OFTEN

NAT w ( #) Í NAT ñ ( #) MAXORB 05° BACK 12 5.1 5.7 (98.3%) OFTEN

NAT o ( D) É NAT ñ ( #) SEPARATE MAXORB 05° 24 13.9 5.7 (98.3%) OFTEN

NAT a ( D) Ï NAT w ( #) SEPARATE MAXORB 05° 21 11.6 5.7 (98.3%) OFTEN

NAT j ( D) Ì NAT ñ ( D) SEPARATE MAXORB 05° FRONT 13 5.8 5.6 (98.2%) OFTEN

NAT a ( D) Í NAT ñ ( D) MAXORB 05° 11 4.5 5.6 (98.2%) OFTEN

NAT g ( D) Í NAT m ( D) APPLY MAXORB 05° BACK 5 0.94 5.6 (98.2%) OFTEN

NAT a Ì NAT r MAXORB 05° FRONT 47 32.9 5.5 (98.1%) OFTEN

NAT g ( D) Í NAT m ( #) SEPARATE MAXORB 05° 98 78.6 5.5 (98.1%) OFTEN

NAT a ( D) Ï NAT m ( #) SEPARATE MAXORB 05° FRONT 5 0.98 5.4 (98.0%) OFTEN

NAT a ( D) Í NAT ñ ( D) APPLY MAXORB 05° 8 2.7 5.4 (98.0%) OFTEN

NAT _ Ò NAT w ( #) SEPARATE MAXORB 05° 6 1.5 5.4 (98.0%) OFTEN

NAT o ( D) Ò NAT ñ ( #) SEPARATE MAXORB 05° 8 2.7 5.3 (97.8%) OFTEN

NAT _ É NAT w ( #) SEPARATE MAXORB 05° 20 11.1 5.3 (97.8%) OFTEN

NAT _ Ì NAT g ( D) APPLY MAXORB 05° 18 9.7 5.2 (97.8%) OFTEN

NAT c ( D) Ï NAT w ( #) SEPARATE MAXORB 05° 35 23.2 5.2 (97.7%) OFTEN

NAT c Ï NAT m MAXORB 05° BACK 18 9.7 5.2 (97.7%) OFTEN

NAT m ( D) Ï NAT ñ ( #) SEPARATE MAXORB 05° BACK 6 1.7 5.0 (97.4%) OFTEN

NAT m ( #) Ì NAT o ( #) SEPARATE MAXORB 05° 6 1.7 5.0 (97.4%) OFTEN

NAT g ( D) É NAT o ( D) SEPARATE MAXORB 05° 19 10.6 4.9 (97.4%) OFTEN

NAT _ É NAT o ( #) SEPARATE MAXORB 05° 7 2.3 4.9 (97.3%) OFTEN

NAT m Ì NAT w SEPARATE MAXORB 05° FRONT 31 20.2 4.9 (97.3%) OFTEN

NAT r ( D) Í NAT ñ ( D) MAXORB 05° 43 30.3 4.9 (97.3%) OFTEN

NAT _ Ï NAT m ( D) MAXORB 05° FRONT 43 30.3 4.9 (97.3%) OFTEN

NAT c Í NAT r SEPARATE MAXORB 05° BACK 11 4.8 4.9 (97.3%) OFTEN

NAT g Í NAT ñ APPLY MAXORB 05° 9 3.5 4.8 (97.2%) OFTEN

NAT m ( D) Í NAT ñ ( #) SEPARATE MAXORB 05° FRONT 5 1.2 4.8 (97.2%) OFTEN

NAT c ( D) Ï NAT m ( #) SEPARATE MAXORB 05° BACK 6 1.7 4.8 (97.1%) OFTEN

NAT _ Ì NAT g ( D) MAXORB 05° FRONT 209 187.8 4.6 (96.8%) OFTEN

NAT j ( D) Í NAT r ( #) MAXORB 05° 16 8.6 4.6 (96.8%) OFTEN

NAT r ( D) Ì NAT ñ ( D) SEPARATE MAXORB 05° 46 33.2 4.6 (96.7%) OFTEN

NAT j ( D) Ì NAT ñ ( D) MAXORB 05° FRONT 19 10.9 4.6 (96.7%) OFTEN

NAT _ Ì NAT j ( #) APPLY MAXORB 05° BACK 6 1.8 4.5 (96.6%) OFTEN

NAT m Ò NAT ñ APPLY MAXORB 05° 5 1.3 4.5 (96.6%) OFTEN

NAT _ É NAT a ( D) SEPARATE MAXORB 05° 9 3.7 4.5 (96.6%) OFTEN

NAT g ( D) Ì NAT w ( #) MAXORB 05° BACK 12 5.8 4.5 (96.6%) OFTEN

NAT a ( D) Í NAT ñ ( D) MAXORB 05° BACK 330 314.3 4.5 (96.5%) OFTEN

NAT m ( D) Í NAT ñ ( #) SEPARATE MAXORB 05° BACK 18 10.2 4.5 (96.5%) OFTEN

NAT g ( #) Ì NAT w ( #) SEPARATE MAXORB 05° 78 62.1 4.4 (96.4%) OFTEN

NAT c ( D) Ï NAT w ( #) MAXORB 05° 15 8 4.4 (96.4%) OFTEN

NAT r ( D) Í NAT ñ ( D) SEPARATE MAXORB 05° 20 11.8 4.4 (96.4%) OFTEN

NAT j ( D) Ì NAT w ( #) MAXORB 05° 12 5.8 4.4 (96.4%) OFTEN

NAT c ( D) Ò NAT r ( #) MAXORB 05° 7 2.5 4.4 (96.3%) OFTEN

NAT r Õ NAT ñ SEPARATE MAXORB 05° FRONT 12 5.8 4.4 (96.3%) OFTEN

NAT j ( D) É NAT ñ ( D) MAXORB 05° 6 1.9 4.4 (96.3%) OFTEN

NAT r ( #) Õ NAT x ( D) SEPARATE MAXORB 05° 19 11.1 4.3 (96.3%) OFTEN

NAT r ( #) Õ NAT ñ ( #) APPLY MAXORB 05° 10 4.5 4.3 (96.2%) OFTEN

NAT c ( D) × NAT ñ ( #) MAXORB 05° BACK 5 1.3 4.3 (96.2%) OFTEN

NAT o ( #) Í NAT r ( D) APPLY MAXORB 05° 68 53.2 4.3 (96.2%) OFTEN


For the sake of brevity, the entire results file for aspects will not

EVENT OCCURENCE AVERAGE CONTROL CHi SQ.(PROB) STAT

NAT [ Í NAT w MAXORB 05° BACK 11 2.5 11.5 (99.9%) OFTEN

NAT [ Í NAT w ( D) MAXORB 05° BACK 11 2.5 11.5 (99.9%) OFTEN

NAT a É NAT j MAXORB 05° 10 2.7 9.0 (99.7%) OFTEN

NAT _ Ï NAT o APPLY MAXORB 05° BACK 7 1.5 7.3 (99.3%) OFTEN

NAT _ Ì NAT ñ ( #) SEPARATE MAXORB 05° FRONT 6 1.2 6.6 (99.0%) OFTEN

NAT [ Í NAT w APPLY MAXORB 05° BACK 6 1.3 6.4 (98.9%) OFTEN

NAT [ Í NAT w ( D) APPLY MAXORB 05° BACK 6 1.3 6.4 (98.9%) OFTEN

NAT _ Ì NAT ñ SEPARATE MAXORB 05° FRONT 6 1.4 5.9 (98.5%) OFTEN

NAT j Ì NAT m SEPARATE MAXORB 05° 7 2.1 5.6 (98.2%) OFTEN

NAT a ( #) Í NAT r ( D) MAXORB 05° FRONT 4 0.54 5.4 (98.0%) OFTEN

NAT [ Ø NAT r MAXORB 05° 11 4.8 5.3 (97.9%) OFTEN

NAT [ Ø NAT r ( #) MAXORB 05° 11 4.8 5.3 (97.9%) OFTEN

NAT a É NAT j APPLY MAXORB 05° 6 1.6 5.3 (97.9%) OFTEN

NAT _ Ì NAT ñ ( #) SEPARATE MAXORB 05° 7 2.2 5.1 (97.7%) OFTEN

NAT c Í NAT m MAXORB 05° BACK 7 2.3 5.1 (97.6%) OFTEN

NAT j Í NAT o APPLY MAXORB 05° BACK 5 1.1 5.1 (97.6%) OFTEN

NAT _ Ï NAT o ( #) APPLY MAXORB 05° BACK 4 0.62 5.1 (97.6%) OFTEN

NAT _ Í NAT a ( D) APPLY MAXORB 05° BACK 5 1.1 5.0 (97.5%) OFTEN

NAT [ Í NAT w MAXORB 05° 11 5 5.0 (97.5%) OFTEN

NAT [ Í NAT w ( D) MAXORB 05° 11 5 5.0 (97.5%) OFTEN

NAT j ( D) Ï NAT w ( #) APPLY MAXORB 05° 5 1.2 4.9 (97.4%) OFTEN

NAT a ( #) Ï NAT r ( #) MAXORB 05° BACK 4 0.66 4.9 (97.3%) OFTEN

NAT c ( D) Ì NAT x ( D) APPLY MAXORB 05° 7 2.4 4.8 (97.2%) OFTEN

NAT a ( #) É NAT j ( D) MAXORB 05° 4 0.68 4.8 (97.2%) OFTEN

NAT g ( D) Ï NAT w ( D) MAXORB 05° BACK 4 0.68 4.8 (97.2%) OFTEN

NAT c Ì NAT w MAXORB 05° 12 5.8 4.8 (97.2%) OFTEN

NAT r ( #) Í NAT ñ ( D) MAXORB 05° BACK 3 0.24 4.8 (97.1%) OFTEN

NAT a Ï NAT r MAXORB 05° BACK 8 3 4.8 (97.1%) OFTEN

NAT [ Í NAT w SEPARATE MAXORB 05° BACK 5 1.2 4.7 (97.0%) OFTEN

NAT [ Í NAT w ( D) SEPARATE MAXORB 05° BACK 5 1.2 4.7 (97.0%) OFTEN

NAT a ( #) Í NAT w ( D) SEPARATE MAXORB 05° 3 0.26 4.7 (96.9%) OFTEN

NAT g ( D) Ï NAT w ( D) SEPARATE MAXORB 05° BACK 3 0.28 4.6 (96.8%) OFTEN

NAT c Í NAT ñ MAXORB 05° BACK 7 2.5 4.6 (96.7%) OFTEN

NAT c ( D) Í NAT ñ ( #) MAXORB 05° BACK 6 1.9 4.5 (96.7%) OFTEN

NAT j ( #) Ï NAT x ( D) APPLY MAXORB 05° BACK 3 0.3 4.5 (96.6%) OFTEN

NAT c ( D) É NAT g ( D) APPLY MAXORB 05° 6 1.9 4.4 (96.5%) OFTEN

NAT g ( D) × NAT w ( D) MAXORB 05° BACK 6 1.9 4.4 (96.5%) OFTEN

NAT m Ø NAT r APPLY MAXORB 05° 7 2.5 4.4 (96.5%) OFTEN

NAT c Õ NAT x SEPARATE MAXORB 05° 7 2.5 4.4 (96.5%) OFTEN

NAT c Ì NAT ñ MAXORB 05° FRONT 7 2.5 4.4 (96.3%) OFTEN

NAT o ( D) Ì NAT w ( #) MAXORB 05° 5 1.3 4.4 (96.3%) OFTEN

NAT _ Í NAT a APPLY MAXORB 05° BACK 5 1.3 4.4 (96.3%) OFTEN

NAT _ Ï NAT m SEPARATE MAXORB 05° BACK 5 1.3 4.4 (96.3%) OFTEN

NAT c ( D) Ì NAT ñ ( #) MAXORB 05° FRONT 6 1.9 4.3 (96.2%) OFTEN

NAT a ( #) Í NAT r ( D) MAXORB 05° 4 0.82 4.3 (96.2%) OFTEN

NAT _ Ì NAT ñ SEPARATE MAXORB 05° 7 2.6 4.2 (96.0%) OFTEN

NAT m ( D) Ï NAT ñ ( #) SEPARATE MAXORB 05° FRONT 4 0.84 4.2 (96.0%) OFTEN

NAT a ( D) É NAT j ( D) MAXORB 05° 6 2 4.2 (95.9%) OFTEN

NAT c É NAT g APPLY MAXORB 05° 6 2 4.2 (95.9%) OFTEN

NAT j ( D) Í NAT x ( D) SEPARATE MAXORB 05° 4 0.86 4.2 (95.9%) OFTEN

NAT j ( D) Ï NAT r ( #) MAXORB 05° BACK 4 0.86 4.2 (95.9%) OFTEN

NAT j ( D) Ï NAT w ( #) MAXORB 05° 6 2 4.1 (95.8%) OFTEN

NAT c ( D) Ì NAT w ( D) SEPARATE MAXORB 05° 6 2 4.1 (95.8%) OFTEN

NAT g ( D) Ì NAT j ( D) APPLY MAXORB 05° FRONT 4 0.88 4.1 (95.7%) OFTEN

NAT c ( D) Ì NAT ñ ( #) MAXORB 05° 9 4 4.1 (95.7%) OFTEN

NAT c Ì NAT x APPLY MAXORB 05° 7 2.7 4.1 (95.6%) OFTEN

NAT a ( D) Ò NAT o ( #) APPLY MAXORB 05° 4 0.9 4.0 (95.5%) OFTEN

NAT c ( D) Ì NAT ñ ( #) APPLY MAXORB 05° FRONT 4 0.9 4.0 (95.5%) OFTEN

NAT o ( D) Ì NAT w ( #) SEPARATE MAXORB 05° 4 0.92 4.0 (95.4%) OFTEN

be shown as there are over 700 criteria just for the aspect study alone. Just

as we see in the previous studies, significant differences appear between

the two files. The Moon sextiling Mars with a chi-square of 4.6 and a

probability of 96.8% of occurring the charts of Mensa members stands out

in the results.

Surprisingly, the aspect file, which was the largest group of criteria to be

studied by far, did not return much data of statistical significance.

NEURAL NET

All of criteria sets where then run through Neural Net in order to create a

model for Black Box. Black Box can take any data file, run it through the

models that are created through Fast Research, and then tell you what is

working, and what is not. For example, Sun in Virgo is very likely to be

found in the charts of Mensa members, while the Sun in Taurus is less likely

to be found there. The planets Mercury and Uranus are also indicated by

the Neural Net to play a significant role.

Here are the Neural Net results.

SHOWN ABOVE ARE THE RESULTS FOR MENSA MEMBERS

ABOVE ARE THE RESULTS FOR LIMITED EDUCATION PEOPLE

It becomes immediately apparent that Neural Net Black Box model has

found marked differences between the charts of Mensa members and the

charts of the Limited Education group.

The more color we see, the more similarities have been found in the Mensa

charts in comparison to the model that was created by the Fast Research.

The less color means the criteria in the model don’t fit the charts of people

with limited education.

This study is a perfect example to point out the validity of the Neural Net

Research.

All we need do is enter a data set (natal chart files), and then make a model

asking the software to look for whatever criteria we wish to search for. The

Fast Research Program will take it from there, analyzing the data for us.

Then when we have our results, we run Neural Net, and we can create a

Black Box Model for people to run their own natal data

through to see if they are likely to be a candidate for Mensa !

And for those of us who may not be Mensa candidates……….

“The major work of the world is not done by geniuses. It is done by

ordinary people, with balance in their lives, who have learned to

work in an extraordinary manner.”

Gordon B. Hinckley

Documents

RESEARCHING MENSA - AstroInvestigators · RESEARCHING MENSA Contributed by ... the Mensa Society, ... Mensa set a 98th percentile cutoff on test results to qualify. That is, the candidate