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Instead of just talking about their past in a general way, the matrix diagram often showed very surprising connections and made visible peculiar interactions that otherwise would have escaped from view.
This research about birthdays, family members and trauma in the personal biography and history tale showed striking connections, sometimes even over generations.
If you didn't read in-between the pages:
Life Cycles, Genealogy-Family-Hist. or Introd. - Life Cycles Matrix ® Diagram
I suggest you to read these now
as they are essential to the understanding of the following text.
In this biographic research work, a striking phenomena surfaced: the birthday of the client's children seemed to have a tendency to 'land' on or near the birth line of one of the parents. As this was observed time and again, I decided to do a first research with some 30 birthdays of children as well as their parents. Out of this first very small group came the astonishing result of 38 % instead of the statistically expected 20% 'landings' on or near the birth line of their parents!
Immediately, I realised myself that this was a very welcome item! Because now, I had an objective way of proving scientifically and statistically that there was something remarkable going on with birthdays in combination with 3.2 years life cycles, completely unknown to modern science and psychology. No esoteric high flier stuff but back to basic facts. One of the most steadfastly, carefully and exactly recorded data in the world are birthdays!
The next research I set up in June 1999 was to get world-wide a set of at least 250 birthdays of children, amass them and decide if they where conformed with the demand of true statistics. Only then they where processed on Matrix diagrams to avoid biased results in any favour whatsoever.
What I observed when grouping those birthdays in 6 lots of approximately 40 was:
A) Each group had roughley the same overall results and a consistency over the whole lot of 250 birthdays with reasonable deviations in the outcoming hit percentages (end result: 34,4 % hit rate).
B) Other phenomena where showing themselves also in a peculiar way, such as a lot of 'Mid' landings. This means that according to the rather rigid terms of the research, they gave no 'hits'. But there was a remarkable occurrency of this 'Mid' landings, with the child 'positioning' its birth line between that of the parents. This seems to be a meaningful indication for future research.
C) As I was also interested in getting the best but accurate results, I experimented with more relaxed or more critical criteria in the measurement of a hit. Very remarkably, the more narrow way of evaluation (only 4 months measuring bandwidth to produce a hit) gave higher overall statistics than a broader - 6 months bandwidth - evaluation! This means that something very significant is going on with an important part of the children as experts in statistical science will confirm. A jump from 20 to 34.4% is really a big leap.
D) In the diagrams, larger families arranged themselves often with a certain 'regular' pattern or theme. Example: 3 children more or less on one line, together with one parent and another child on the general 'opposite line' of the first 3. It was at that moment not possible to investigate this in depth but the example of Jeroen on one of the other pages shows this phenomenon clearly (Genealogy-Family-History page - Example #Jeroen).
A sample report with the resulting data of the '250 research':
|
Group: |
Total |
Hits |
Hits |
Total |
% |
|
1 |
37 |
6 |
7 |
13 |
35.1 |
|
2 |
42 |
10 |
8 |
18 |
42.8 |
|
3 |
40 |
11 |
2 |
13 |
32.5 |
|
4 |
42 |
5 |
7 |
12 |
28.6 |
|
5 |
45 |
7 |
7 |
14 |
31.1 |
|
6 |
43 |
8 |
8 |
16 |
37.2 |
|
Total |
250 |
47 |
39 |
86 |
34.4% |
|
Corrected less #3 |
(210) |
(36) |
(37) |
(73) |
(34.8%) |
Conversion table 3.2 years cycles and year calendar. (new window)
The fathers scored 'best' in hit-rate (47 hits or 54.6%) against the mothers (39 hits or 45.3%) but this result is largely biased by group 3 with an important deviation. When omitting group 3, you get 'Corrected #3' with almost identical results for fathers and mothers. This is the reason to do a research over much larger groups.
Future research should enlighten the reasons why and how those 'hitters' are spread over countries, age, family interaction, with or without 'birth control families' and so forth. I have the intention to do a really massive research over the whole world of at least 1000 birthdays to see if these findings are consistent with different population groups, continents and whatsoever.
Curious now for future developments? Me too!
© Feb. 2000 - Rik Wellens ;-)
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