HALLIBURTON AND GULF OIL SPILL
SPILL BABY, SPILL...
On May 12, 2010, Washington Post Staff Writers Steven Mufson and David A. Fahrenthold wrote that “Three major oil industry executives agreed on one thing in a pair of Senate hearings Tuesday: Someone else was to blame for the drilling rig accident that triggered the massive oil spill in the Gulf of Mexico. BP blamed the failure of Transocean's blowout preventer and raised a new question about whether Transocean disregarded "anomalous pressure test readings" just hours before the explosion. Transocean blamed decisions made by BP and cited possible flaws in the cementing job done by Halliburton. And Halliburton said that it had faithfully followed BP's instructions and that Transocean had started replacing a heavy drilling mud with seawater before the well was sealed with a cement plug.” The disaster occurred on April 20, 2010. The first report of oil being successfully captured did not come until May 16, 2010.
On the matrix above, the axis term is HALLIBURTON. This 9-letter spelling at skip 121,400 required a wrapped matrix (more than 1 computer pass through Torah’s 304,805 letters) to locate. In the 190-letter matrix we find THE OIL, DISASTER and the Hebrew year of the disaster: 5770 (2010).
STATISTICAL VALUE OF THE MATRIX. The matrix is based on the lowest ELS of one transliteration of HALLIBURTON, however other transliterations exist. THE OIL and 5770 were at the same skip, but no extra value is assigned for this fact. In the case of THE OIL, although I would normally use the frequency of this term found via Roffman skip formula - and this only in Hebrew, I varied the protocal here to a more conservative one because I knew that oil is a common word in the Torah in the open text. However, the frequency of the three letters the make up oil are also, at skip +1, very high frequency due to combination of letters from two words. So I added the frequency of THE OIL in English at skip +1 to the frequency of THE OIL at a Hebrew ELS. This method is not perfect, but it's better than ignoring the problem. The final p value of the matrix was thus estimated at 0.001826 which equates to about 1 chance in 547. This is a better result than what was found when Louisiana was used as the axis term.