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 key word for each of the topic categories: What and Where , plus key words from three of other the remaining four categories: Who, When Date, When Year and How.

When Date Year How

We show the first three most statistically significant tables that resulted from this category of experiments. These tables are all in the same place and with a core of the same key words and ELSs. However, from one table to the other, you will find one key word change, making all these 3 tables especially related.

Mumbai_when_date_year_how_sel1
The search produced a cylinder size of 74. 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 9.5/10,000.
Mumbai_when_date_year_how_sel2
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 15.5/10,000.
Mumbai_when_date_year_how_sel3
The search produced a cylinder size of 74. 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 18.5/10,000.

Who When Date Year

Taj Mahal

There was no table for the Taj Mahal with p-value less than 1/50.

Oberoi

Mumbai_who_when_date_year_sel2
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 154.5/10,000.

Nariman

Mumbai_who_when_date_year_sel1
The search produced a cylinder size of 74. 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 5.5/10,000.

Who When Date How

Taj Mahal

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

Oberoi

Mumbai_who_when_date_how_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 22.5/10,000.

Chabad

Mumbai_who_when_date_how_chabad_right
Right:
Mumbai_who_when_date_how_left
Left: The search produced a cylinder size of 2541. 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 How

Taj Mahal

In this category, there is a large table with the key word Taj Mahal. Because of its size we do not show it. The p-value for the table is 48.5/10,000.

Oberoi

Mumbai_who_when_year_how_oberoi
The search produced a cylinder size of 262. 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 less than 85.5/10,000.

Chabad House

In this category, there are tables for both Chabad House and Nariman. The first table occurs with the key word Mumbai. Not shown is a similar table with the key word Bombay and where the p-value is 9.5/10,000.

Mumbai_who_when_year_how_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 less than 24.5/100,000.
Mumbai_who_when_year_how_chabad
The search produced a cylinder size of 77. 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 less than 26.5/10,000.

Who When Date Year How

Taj Mahal

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

Oberoi

Mumbai_who_when_date_year_how_Oberoi
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 less than 37.5/10,000.

Nariman

There was a table of 163 rows by 111 column on a cylinder size of 951 with ELSs of the key words טבח טרר, Massacre Terror; מומביי, Mumbai; הודו, India; נארימן, Nariman; בכט חשון, On Cheshvon 29; בהתשסט in 5769; and מחבלים Terrorists. 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 3.5/10,000. Because the table is 163 rows by 111 columns, it is too large to show so we omit the table.

Developments

Mumbai_who_developed
The search produced a cylinder size of 153. 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 would be less than 1/10,000, had the key word choices been a priori.
Finding by Dr. Moshe Katz with additions by Rabbi Glazerson and Professor Haralick
Mumbai_massacre
The search produced a cylinder size of 300. The expected number of ELSs was set to 100.
Finding by Rabbi Glazerson