Mumbai Massacre Torahcode Experiments

On this webpage, we show the network of Torah code tables that resulted from our experiments as described on the previous webpage. The first table just has key words from the topic What Where category. Each table after the first table must have one of the key word from each of the topic categories: What and Where , plus one key word from one of the four remaining categories: Who, When Date, When Year, or How.

What Where

Mumbai What Where
The search produced a cylinder size of 185. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 53.5/1,000.

Who

Taj Mahal

Mumbai_who_Taj
The search produced a cylinder size of 9670. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 8.5/10,000.

Oberoi

Mumbai_who_Oberoi
The search produced a cylinder size of 300. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 107.5/10,000.

Nariman House Chabad House

Mumbai_who_Chabad
The search produced a cylinder size of 162. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 47.5/10,000.

When Date

Mumbai_when_date
The search produced a cylinder size of 3697. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 13/10,000.

When Year

Mumbai_when_year
The search produced a cylinder size of 106. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 31.5/10,000.

How

Mumbai_how
The search produced a cylinder size of 381. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 19.5/10,000.
Mumbai_how1
The search produced a cylinder size of 181. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 43.5/10,000.
Mumbai_how2
The search produced a cylinder size of 181. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce a table as compact as that produced by the Torah text is 51.5/10,000.