Study #1 to #60: pattern-analysis of planetary pictures
Posted: Fri Feb 21, 2025 11:34 am
Providing ChatGPT 40 the data of the 60 cancer-disease case-studies I tried to get more information about the planetary patterns. The input data file was structured like this to prevent empty data cells:

The first line of the excel-sheet consists of the variable names. The data material starts at line #2 und the last data line is line 572.
Those planetary equations with "mixed" time-qualities I had not included in the excel-data-file (e.g. equation with SUtransit/NEnatal, ...) because including such equations would have contradicted the data-file-format.
I have focused only on the planetary eqations not on the interaction between "time-quality" like solar, lunar, progression, transit and the planetary equations.
First I will present an output regarding the most important frequency counts of astrological patterns:

We can see an overwhelming dominance of MA/SA and NE/PL.
Statistical Significance of MA/SA=NE/PL Overrepresentation
Key Statistical Findings



Finally I will present a graph theory based network analysis of the planetary patterns. Those planetary items (planets, midpoints) that have more interconnections, symbolized with lines play a more dominant role.


Zachariel

The first line of the excel-sheet consists of the variable names. The data material starts at line #2 und the last data line is line 572.
Those planetary equations with "mixed" time-qualities I had not included in the excel-data-file (e.g. equation with SUtransit/NEnatal, ...) because including such equations would have contradicted the data-file-format.
I have focused only on the planetary eqations not on the interaction between "time-quality" like solar, lunar, progression, transit and the planetary equations.
First I will present an output regarding the most important frequency counts of astrological patterns:

We can see an overwhelming dominance of MA/SA and NE/PL.
Statistical Significance of MA/SA=NE/PL Overrepresentation
Key Statistical Findings
- Total Equations Analyzed: 571
- Observed MA/SA=NE/PL Occurrences: 73
- Expected Frequency (Random Distribution): 5.88
- p-value (Binomial Test): p < 0.0001
- A p-value of < 0.0001 indicates that the probability of MA/SA=NE/PL appearing this frequently due to random chance is extremely low.
- MA/SA=NE/PL is statistically overrepresented in the dataset, suggesting a non-random association with the analyzed cases (cancer-related deaths).



Finally I will present a graph theory based network analysis of the planetary patterns. Those planetary items (planets, midpoints) that have more interconnections, symbolized with lines play a more dominant role.


Zachariel