| Suzel
Fuzeau-Braesch's twin's investigation Introduction:
Suzel
Fuzeau-Braesch (Head of Researches in CNRS France) has published in his book
"Astrology : the Proof by Two" (ed. Robert Laffont, S.A., Paris, 1992) an
interesting investigation that she made on a population of 251 couples of twins.
She tried to determine if the small difference of birth time between twins could lead to a
measurable impact in their life.
Protocol:
To
achieve that mission, she imagined a protocol summarized in the following steps :
She
collected first the birth information (including the birth times) of 251 couples of twins.
She
calculated their birth charts as well as some interpretations given by a computer program
in order to create impartial parameters correlated to each twin inside each couple
(251x2=502 birth charts).
The
computer calculated automatically for each couple of twin's one parameter easy to detect
(active, affective, directing, expansive, stable,….) and determined whose one in the
couple fits the best to that parameter.
She
sent an investigation form to the family of each twin's couple and asked their relatives
to fill the form in which they had to determine which twin was fitting the best to a
certain parameter.
After
receiving the answers, she could make the correlations between the answers coming from the
251 families and the answers given by the computer.
NOTA: if no correlation exists, it was supposed to get around 50% of accordance between
the computer answers and the family answers.
|
Results:
The
results are presented here under:
|
| Right answers |
|
153 |
| Wrong answers |
|
65 |
| Null answers |
|
20 |
|
|
Number
of right answers (computer answers are equal to families answers): 153
Number
of wrong answers (computer answers are not equal to families answers): 65
Number
of null answers (impossibility to determine the proposed difference between the twins): 20
|
Conclusion:
If we
consider, in the worst case, that all the null answers (20) could have been wrong answers,
the number of wrong answers is now 85.
Therefore, the proportion between wrong and right answers is 85/153, which is impossible
to result from the hazard.
The probability to get such result is lower than 0.01% which means that the chance
is smaller than 1/10 000 ! |