Signaled Codes - summary

This page describes the most significant and simplest result on this site as of mid-2009.

The results below were found using principles from Professor Rips' new "TC Network" idea. "TC Network" refers to a series of tables, or "nodes", which "belong together". These networks reveal an organized structure of the codes.

This page focuses on only one aspect of TC Networks, called "same-column signals". The following example diagram depicts 2 signals originating from a single column (left). Both signals are later confirmed at another location (right):

Examples with actual codes follow.

Same-column signals - examples

Example 1 - a sentence which self-echoes (concerning the netherworld).

Example 2 - signals from one code to another (connecting joy and Messiah)

Example 3 - an additional Messiah signal (connecting revenge and Messiah)

Example 4 - reconfirming the Messiah signals from Examples 2 and 3.

Example 4 and its buildup comprise the most dramatic and simplest result on this site.

Conclusion

Same-column signals have high significance due to the fact that the choices of both the key words and their locations are constrained:

1) By letting the codes signal the key words of interest, we remove any subjective judgement in this critical decision.

2) We are restricted to a small set of possible locations - typically areas surrounding only a few instances of axis ELSs.

3) Further, we restrict to highly relevant topics and to horizontal and vertical ELSs.

4) Due to these restrictions, the results obtained are unlike any obtainable in a monkey text. For instance, per examples 2 and 3 above, it is extremely rare (1 in a million plus plus) to find a monkey text with such strong starting tables (see the long phrase at the top of each example). That is only hurdle 1. Hurdle 2: only if we could obtain one million such monkey texts passing hurdle 1, would there be a chance that one of them would have its signaled key words so strongly confirmed (repeated). At that point we would still need to subject this monkey text to hurdle 3, yet another one-in-a-million test, which is a re-confirmation such as that found in example 4. Then we could finally say that the monkey text competes with the Torah result.

Note that signaled codes (and more generally TC networks) combine several former discoveries of the last several years: repetition of encoded ideas among multiple tables (Haralick, Levitt, Rips); pointers (which are significant and unique locations in the text pinpointed for example by the best parallel meetings of key words - Rotenberg); passing significance hurdles in order to be accepted (Bombach, Levitt, Rips and others); and statistical measuring methods (Gans, Haralick, Rips and others).

In summary, this kind of methodology generates a self-regulating, self-unfolding, self-test for Torah Codes.