
What Is Leukemia?

Deaths: Some 21,600 persons will die from leukemia this year in the U.S; approximately 12,000 males and 9,600
Causes of Leukemia
The specific cause of leukemia is still not known. Scientists suspect that viral, genetic, environmental, or immunologic factors may be involved.
Some viruses cause leukemia in animals; but in humans, viruses cause only one rare type of leukemia. Even if a virus is involved, leukemia is not contagious. There is no increased incidence of leukemia among people (friends, family, care givers) who have close contact with leukemia patients.
There may be a genetic predisposition to leukemia. There are rare families where people born with Chromosome damage may have genes that increase their chances of developing leukemia.
Chemicals: The commonest chemical exposure linked to leukaemia is probably cigarette smoking. Benzene in high concentrations is known to cause leukaemia and it is possible that other, similar organic chemicals, may increase the risk of leukaemia and related diseases.
Radiation: Ionizing radiation is the term used for the kind of radiation given off by Xray machines or by radioactive materials. High doses of radiation can definitely increase the risk of leukaemia and related diseases. This was shown by the atomic bomb survivors and by the experience of other people accidentally exposed to high levels of radiation.
Methods of Treatment
Encoded Words:
Central Term Leukemia Skip 2075 Cancer Disease Blood Malignant Evil Cells Cell theWhite Cause Existence Alteration in theGenes Virus Radiation Bleeding Anemia because of that He did Substance Chemical Therapy 2Chloro Adenosine 
Cluster 1 : Row Split by 3
Cluster 2 (The Same Matrix, with more encoded words) Row Split by 3

Cluster 3 : Row Split by 6
Statistical AnalysisProbability of the Matrix
What is the statistical relevance of the Cluster 1, 2, and 3 matrix?
If we add up the positive matrix Rvalues from the Cluster 1 Matrix Report, we get a cumulative matrix Rvalue of ( 9.101 )(using the text Rvalue for the main term). Then taking the antilog of the total matrix Rvalue, we get( 1,261,827,534.590670 ). That means that cluster 1 is very relevant when viewed statistically from a frequency point of view. There is 1 chance in 1,261,827,534 of the matrix occurring with all of the terms in such a small matrix. Or as stated in expected occurrence for the matrix, we'd expect 0,00000000792 chance of occurrences. Let's restate it in another way much more conservatively. Cluster 1 has 506 letters,so there are 602.38 matrices of that size in the Torah (304,805 DIVIDED BY 506) ).Conservatively then,if we divide the above chance of occurrence by 602.38 , then we still have a probability of 1 chance in 2,094,736 , or an expected matrix occurence of 0.0000004.
We can also divide it by the row split to account for looking at 17. 2,094,736 divided by 3 equals 698,245. Therefore, conservatively stated, the probability of cluster 1 above is 1 chance in 698,245. This is a very significant matrix.
Webmaster note: There is controversy regarding calculating code matrix terms from the surface text as if they were random terms for statistics purposes. We believe that one should note the meaningfulness of surface terms (those at an ELS of +1) in the explanation, but not include them for statistical purposes. When we add up significant terms from cluster 1 (ignoring terms in the surface text at an ELS of +1), we get an overall Rvalue of 3.022. We then measure the expected occurrences of the main term for an ELS search range of 2075 to 2075 in the Torah and note there are 10.96 expected occurrences. We calculate E=1052, and divided by 10.96 equals 95.98. Next we conservatively correct it for a rowsplit of 3, by dividing by 3. Our final odds for cluster 1 matrix are 1 chance in 32, or 0.313. This is not a very significant matrix if we conservatively ignore terms from the surface text for statistics purposes.
Cluster 2 Statistics positive matrix Rvalues = 7.343 antilog of the total matrix Rvalue = 22029264.63053 matrix occurring with all of the terms = 1 chance in 22,029,264 expected occurrence for the matrix = 0.0000000453 chance of occurrence matrices of that size in the Torah = 88.34 probability of 1 chance in 249,369 or expected matrix occurence of 0.00004

Webmaster note: Recalculating the statistics and ignoring the terms at an ELS of +1 in the surface text, the overall Rvalue is 3.753 and E=5662.4. Dividing by the expected occurrences of the main term in the Torah, 10.96, we get 5662.4 divided by 10.96=516.6. Corrected for a rowsplit of 3 we get odds for the matrix of 1 chance in 172, or 0.00581. While this is higher than cluster 1, it still is not a very significant matrix, when the terms from the surface text at an ELS of +1 are ignored for statistics purposes.
Cluster 3 Statistics positive matrix Rvalues = 6.881 antilog of the total matrix Rvalue = 7,603,262 matrix occurring with all of the terms = 1 chance in 7,603,262 expected occurrence for the matrix = 0.00000131 chance of occurrence matrices of that size in the Torah = 133.686 probability of 1 chance in 56,874 or expected matrix occurence of 0.00017

Webmaster note: Ignoring terms from the surface text at an ELS of +1 for statistics purposes, the overall Rvalue is 5.651. Corrected for 10.96 expected occurrences of the main term in the Torah, and a rowsplit of 6, we get odds of 1 chance in 6808 or 0.000147. This is more significant than cluster 1 & 2, but not as significant as other matrixes on this site. I would still term it a minor matrix.