J. Lopez Gallardo, a Physics Professor at the University of Texas, claims that there is a perfect "Pearson Coorelation" in the preliminary "PREP" electoral results of Mexico's Presidential election.
This means that the results do not have the random variations we would expect from the reports from actual voting, and must have been generated by a computer simulation or algorythm. Such correlations can be a key sign of rigged elections, such as Iran 2009.
In the discussion on Gallardo's Twitter pages, another professor suggests that Gallardo may have summed the data incorrectly.
Mexico's Presidency was stolen via centralized fraud in 1988, and the same was claimed for the 2006 election.
@wlmb @romerorochin Correlacion Pearson entre partidos del PREP perfecta: 1.000 durante 4.5 horas, it's a machine! http://t.co/8Y08XA2E" title="click here">twitter.com/J_LopezGallard"
-- Jorge Lopez Gallardo (@J_LopezGallardo) July 2, 2012
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