Torah code tables, or as they are popularly called Bible Codes, are tables made from the text of the Torah, the Five Books of Moses, in which related words can be found in horizontal, vertical, or diagonal, orientation patterns. The words found in a table are called equidistant letter sequences. They are called equidistant letter sequences (ELS for short) because their letters come from the text, not necessarily letter after letter of the text, but with the same skip from letter to letter of the ELS. Different ELSs in the same table will in general have different skips. A table is actually a selected window on a cylinder of particular size around which are spiraled the letters of the Torah text, without spaces or punctuation marks.
The Torah code tables on this website relate to major historical events or have relevance to concepts in Judaism and Kabbalah. Unless othersize stated, all Torah code tables on the website are produced with an objective and statistically valid methodology.
Objective Methodology
There is one objective and statistically valid methodology by which a table can be judged as either something likely to happen by chance or as unlikely to happen by chance. That methodology is to perform a Monte Carlo experiment. To perform an experiment requires a protocol. The protocol specifies the list of key words to be used, the ELS skip specification, the criteria by which ELSs skips are considered to be resonant to a cylinder size, the measure of table compactness, and the control text population on which the experiment is done. The experiment estimates the fraction of texts in the control population that produce tables whose compactness is as good or better than that produced by the Torah text. This fraction is called the p-value of the experiment. When the p-value is small, it suggests that the table is unlikely to happen by chance. When the p-value is large, say greater than 1/100, it suggests that it is more likely that the table happens by chance. The Monte Carlo experiment estimates the fraction by sampling a large number of texts from the control population and by a fixed unchanging algorithm performs the search process, identically on each text, to construct a best table from each text.
Because of the complexities of the letter dependencies in the text, the fraction of texts in the control population that produce as good or better tables than the Torah text must be estimated by the Monte Carlo experiment and cannot be estimated by any analytic method as is done in some commercially available software and as shown on some websites. None of these analytic methods produce a probability that corresponds to any Monte Carlo exerimental result.
All the tables shown on this website use table area as the measure of compactness and the monkey text population is called the ELS random placement monkey text population.
Technical explanations of Torah codes, how tables are formed, and the meaning of p-level can be found in the tutorial.