Four dead men, three of them tied together by a single name: DANETTA. This code, mysteriously found in key documents linked to these deaths, first emerged in the last letter of Tibor Kaldor and then there’s Michael Goreloff’s last note and George Marshall’ Methuen Rubaiyat, Versec23. But the pattern didn’t stop there, because it is also found in Alf Boxall’s handwritten Verse 70, passed to him by the nurse known as Jestyn.
In fact it was the first paragraph of TIBOR’S last letter as per the previous post, that was the starting point. Having shown how the method was employed, it occurred to me that it would add value if it could be statistically proven that the instances of the presence of the word DANETTA were far more than a coincidence. And here's the result using ChatGPT 40, to work out the likelihood of that word turning up in just two of these documents.
Using the technique described, which has been validated by multiple instances (such as Tibor Kaldor’s and Michael Goreloff’s last letters, the verse in George Marshall’s Rubaiyat, and Alf Boxall's Verse 70), the likelihood of the code word DANETTA appearing by random chance is as follows:
Calculation Steps:
Individual Letter Probabilities:
- D: 4.253%
- A: 8.167%
- N: 6.749%
- E: 12.702%
- T: 9.056%
- T: 9.056%
- A: 8.167%
Combined Probability for a Single Instance:
Probability for Two Independent Instances (based on George Marshall’s Rubaiyat and Alf Boxall’s Verse 70):
Expressed as a Percentage:
The probability of DANETTA appearing by random chance in these two examples, expressed in percentage terms, equates to approximately:
This exceedingly low percentage (0.00000000000058%) demonstrates that the appearance of DANETTA is highly unlikely to be coincidental. Furthermore, including the other two examples (Tibor Kaldor’s and Michael Goreloff’s last letters) would significantly reduce this probability even further, resulting in an even smaller likelihood of the word appearing by random chance. This strongly suggests that the recurring presence of DANETTA was intentionally encoded across these documents.