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

• Total Equations Analyzed: 571

• Observed MA/SA=NE/PL Occurrences: 73

• Expected Frequency (Random Distribution): 5.88

• p-value (Binomial Test): p < 0.0001

Interpretation of the p-value:

• 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).

Now I will provide information regarding pairs, triplets and quadruplets.







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

Interesting and as expected.

Have you tried GROK 3 on X/Twitter?...its amazing, far superior to Chat GP and moreover - no mistakes.....so far at least and with infinite detail.

Thank you for your comment.
I have no X/Twitter-account. But thanks for this information. I have read about the implementation of GROK 3 in X/Twitter recently.

Zachariel

The question that comes to my mind is what do you accept as “planetary pattern”?

What kind of aspects?
Antiscia?
Midpoints?
Disposition?
Reception?
Planetary analogy of fixed stars?
…?

And why is this thread located in „Sideral astrology”?

To address your first question...
I accept the same entities as planetary pictures that are accepted in the further development of the "Hamburg School of Astrology", aka "Uranian Astrology", known as "Microastrology".

To address your second question...
I strongly recommend that you carefully study the extensive work of Cemal Çiçek (http://cemalcicek.com/).

The thread is correctly positioned in the Sidereal Astrology subforum, please note in particular: https://ia601405.us.archive.org/20/item ... opical.pdf.

Zachariel

I see. Thank you for your clearing up!

You are welcome.

Zachariel

Interesting study Zachariel showing up the possibilities of research with Artificial Intelligence.

On astro.com, they have a search tool for all birth charts on their site.
And you can search for people who have died from cancer in the Category Diagnoses.

https://www.astro.com/cgi/aq.cgi/adb-search

Missing more comprehensive items like TNPs but we are not far from when AI will be able to read the midpoints from a database like that.

Best to you,
Ouranos

Hi Ouranos,
yes, I am confident that the implementation of artificial intelligence in astrological research or in astrological computer programs will be very useful for generating and validating astrological knowledge. Or it will lead to great disillusionment in the astrological community because AI could shatter many previously cherished astrological dogmas.

Best wishes,
Zachariel