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# John McCain

The Republican Candidate for the President of the United States in 2008 is John McCain. McCain is currently serving as senator from Arizona. John McCain is an ethical politician with a sound vision for the country. He has a remarkable long sustained record of leadership, experience and demonstrable political accomplishments. He was first elected to the U.S. House of Representatives from Arizona in 1982 and has served as senator from Arizona since 1986.

John McCain has sponsored legislation to close loopholes for special interests. He has sponsored reform legislation such as campaign finance reform. The legislation was passed as the McCain-Feingold Act in 2002. He has worked for change, accomplished change, not just talked about it.

1. Where

For the name key word, we try the following possibilities: John McCain, JohnMcCain, J. McCain, and Mccain. For the occupation key word we use President and U.S.. This makes a total of 4 key word combination sets. However, there is no ELS for the key word JohnMcCain. So there is a total of 3 key word combination sets. With expected number of ELSs set to 100, none of the best tables for the 3 key word sets are interesting.

We checked to see what happens if the expected number of ELSs is set high, to 500. Here the best table involved the key word McCain. The probability that a text from the ELS random placement text population would produce as a compact table as that produced by the Torah text is 79/1,000.

The cylinder size produced by the search is 30. With expected number of ELSs set to 500, the probability that a text from the ELS random placement text population would produce a table as small as the one produced by the Torah text is 79/1,000. Although this is the best result we have obtained in our explorations, it is not so statistically interesting.
Finding by Professor Haralick

2. When Date

In this category of experiment we used three forms for McCain and three forms for the date Cheshvon 6, making a total of 9 key word combination sets. None of the tables were interesting.

3. When Year

Next we make an experiment using one of the key words John McCain, J. McCain, and McCain, the key word President, and one of the key words for the year 5769, In 5769, (5)769 and In (5)769. There are a total of 12 combinations of key word sets. The best key word combination set used the key word McCain, President and In (5)769. With expected number of ELSs set to 100, the probability that at text from the ELS random placement text population would produce as compact a text as that produced by the Torah text is 17/1,000.

The cylinder size produced by the search is 17,372. 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 small as the one produced by the Torah text is 17/1,000.
Finding by Professor Haralick

4. How

In this category of experiments we use for our key word sets one of three name key words, John McCain, J. McCain, and Mccain, the key word President and either the key word for is/was elected or will be elected. This makes a total of 6 key word combination sets. With expected number of ELSs set to 100, the best table used the key word is/was elected . 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 16/1000.

The cylinder size produced by the search is 30. 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 small as the one produced by the Torah text is 16/1,000.
Finding by Professor Haralick

5. Where When Date

In this group of experiments there are three forms for McCain, and three forms for the date Cheshvon 6, making a total of 9 key word combination sets. None produced an interesting table.

6. Where When Year

In this group of experiments, there are three forms for McCain and four forms for the year 5769, making a total of 12 key word combination sets. The most interesting table used the key words John McCain, and 5769. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would have as compact a table as that produced by the Torah text is 28/1,0000.

The cylinder size produced by the search is 1703. 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 small as the one produced by the Torah text is 28/1,000.
Finding by Professor Haralick

7. Where How

In this category of experiments we use three forms for McCain and two forms for being elected, making a total of 6 key word combination sets. It is perhaps noteworthy that the two McCain tables we have shown occur in the same location and have a common axis ELS of McCain. Thus it is no surprise that there is a statistically significant table having for its key words McCain, Is/was elected, President, and US. In fact, such a table is the best table using the three forms for the McCain key words and the two forms for the being elected key words.

The cylinder size produced by the search is 30. The expected number of ELSs had to be set to 500, in order to pick up the skip -31 ELS of US. Had this been an apriori experiment, we could say that the probability that at text from the ELS random placement population would produce as compact a table as that produced by the Torah text is 3.5/1,000.
Finding by Professor Haralick

8. When Date Year

In this group of experiments, there are three forms for McCain, three forms for the date Cheshvon 6 and four forms for the year 5769, making a total of 36 key word combination sets. None produced interesting tables.

9. When Date How

In this experiment, we have three forms for the name McCain, three forms for the date Cheshvon 6 , and 2 forms for being elected. With expected number of ELSs set to 100, the best table used the key words Is/was elected and 6th of Cheshvon. The probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 14.5/1,000.

The cylinder size produced by the search is 6,657. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 14.5/1,000.
Finding by Professor Haralick

10. When Year How

Next, we try experiments to link the election of McCain with the year which is 5769. So to the three forms for McCain and the key word for President, we add key words for either Is/was elected or Will be elected. And we add key words for the year 5769, in 5769, (5)769, and in (5)769. This makes a total of 24 key word combination sets. The best resulting table used the key word McCain, Is/was elected, President, and In (5)769. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 12.5/1,000.

The cylinder size produced by the search is 17,370. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 12.5/1,000.
Finding by Professor Haralick

11. Where When Date Year

In this category of experiments, there are three forms for McCain, three forms for the date Cheshvon 6, and four forms for the year 5769, making a total of 36 key word combination sets. An interesting table resulted when for the choices , and . With the expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would have as compact a table as that produced by the Torah text is 40.5/1,000.

The cylinder size produced by the search is 206. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 40.5/1,000.
Finding by Professor Haralick

12. Where When Date How

In this category of experiments, there are three forms for McCain, three forms for the date Cheshvon 6 and two forms for being elected, making a total of 18 key word combination sets. None produced an interesting table.

13. Where When Year How

In this experiment, there are three forms for McCain, four forms for the year 5769, and two forms for being elected, making a total of 24 key word combination sets. The most interesting table used the key words J. McCain, Will be elected, and (5)769. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 25.5/1,000.

The cylinder size produced by the search is 7764. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 25.5/1,000.
Finding by Professor Haralick

14. When Date Year How

In this category of experiments, there are three forms for McCain, three forms for the date Cheshvon 6, four forms for the year 5769, and two forms for being elected, making a total of 72 key word combination sets. With expected number of ELSs set to 100, the best table had a p-value of .0885 and is considered not interesting.

15.Where When Date Year How

In this category of experiments, we use three forms for McCain, three forms for the date Cheshvon 6, four forms for the year 5769, and two forms for being elected, making a total of 72 key word combination sets. The best combination used the key words McCain, will be elected, Cheshvon 6, and In (5)769. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 53.5/1,000.

The cylinder size produced by the search is 1,657. With expected number of ELSs set to 100, the probability that a text from the ELS random placement text population would produce as compact a table as that produced by the Torah text is 53.5/1,000.
Finding by Professor Haralick