Mumbai Massacre Torahcode Experiments

On this webpage, we show the network of Torah code tables that resulted from our experiments as described previously. Each table must have one of the key word for each of the topic categories: What and Where , plus key words from at least two of the other the remaining four categories: Who, When Date, When Year and How.

Who When Date

Taj Mahal

There was no statistically signficant table for the Who When Date category involving the Taj Mahal.

Oberoi

Mumbai_who_when_date_oberoi
The search produced a cylinder size of 78. 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 133/10,000.

Nariman House Chabad House

Mumbai_who_when_date_nariman
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 7.5/10,000.

Who When Year

Taj Mahal

There was no statistically signficant table for the Who When Year category involving the Taj Mahal.

Oberoi

Mumbai_who_when_year_oberoi
The search produced a cylinder size of 107. 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 55/10,000.

Chabad

Mumbai_who_when_year_chabad
The search produced a cylinder size of 152. 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 30.5/10,000.

Who How

Taj Mahal

Mumbai_who_how_taj_right
Right:
Mumbai_who_how_taj_left
Left: The search produced a cylinder size of 6449. 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 59.5/10,000.

Oberoi

Mumbai_who_how_oberoi
The search produced a cylinder size of 58. 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 57/10,000.

Nariman

Mumbai_who_how_nariman
Left: The search produced a cylinder size of 204. 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 66/10,000.

When Date Year

Mumbai_when_date_year
The search produced a cylinder size of 73. 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 29.5/10,000.

When Date How

Mumbai_when_date_how
The search produced a cylinder size of 2539. 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 15.5/10,000.

When Year How

Mumbai_when_year_how
The search produced a cylinder size of 12,636. 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 48.5/10,000.
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