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BREAKING : Biden's Voting Results Violate "Benford's Law" - an Explainer

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First published at 08:24 UTC on November 7th, 2020.

#benfordslaw
#election
#joebiden

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For all you numberphile's and election watchers, here is an explainer of what Benford's Law is. Benford's Law is used to check that a natural distribution of numbers in a series holds true. This is also useful to detect "election fraud". Indications are, that votes cast for Biden in key races "DO violate this key principle", whereas all other candidates "hold true".

Here is the Github repo containing Benford's Law breakdown on key States. Note the difference in Joe Biden's distribution graphs : https://github.com/cjph8914/2020_benfords

From TheRedElephants.com :
https://theredelephants.com/there-is-undeniable-mathematical-evidence-the-election-is-being-stolen/

A 5th November edit on Wikipedia stated that "other experts consider Benford's Law problematic or misleading as a statistical indicator of election fraud". WHO'S LEG ARE THEY TRYING TO PULL.
https://en.wikipedia.org/w/index.php?title=Benford%27s_law&type=revision&diff=987236297&oldid=987235982#Election_data

If you want a deep-dive into Benford's Law and its uses, here is book from Mark J. Nigrini PhD titled "Benford's Law - Applications for Forensic Accounting, Auditing, and Fraud Detection". Includes a section on Election Results (Page 132).
https://b-ok.global/dl/2341802/23af9d?dsource=recommend

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