BENFORD'S LAW: Maths Point To Massive Election Fraud in California...

The November 3, 2020, Presidential election data from California should set off alarm bells. Election data generated by the natural voting process will closely match Benford’s Law predictions. (Benford’s Law, or the rule of leading digits, is used as an indicator of fraud in numerical data.) Of course, there can be exceptions, but Benford’s Law points to areas to investigate. Benford’s Law predicts that for real, natural data, the frequency of leading digits (1 through 9) will occur at or near the following percentages of the transactions or tallies. Deviations from these predicted percentages should be investigated.

Here are the official presidential totals for California, as released by Dr. Shirley N. Weber, Secretary of State (also released by Alex Padilla, Secretary of State through January 28, 2021):

The difference in votes tallied is 5,104,121 in favor of Biden. The average precinct size is 1073 votes. Biden had a nearly 2-1 official victory margin over Trump across the state. Here are detailed statistics for the statewide election, again, from Dr. Weber.

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