UPDATE: Benford’s Law Has Been Used to Prove Election Fraud in the Past – Joe Biden’s Numbers in Michigan are 99% Flawed — No Surprise that Tech Giants are Banning This Information

From a TGP reader, Austin :

Biden’s vote numbers in Michigan do not match Benford’s law at a 99.999% significance level.

Benfords law has been used on many occasions to prove election fraud (2000&2004 elections, 2003 California gubernatorial election, etc.).

Let me know if you would elaboration but the numbers can be computed in a spreadsheet using data taken from Michigan’s election data tracker from individual precincts. For context, Biden scored a 0.0000017 and trump scored a 0.58.

While Benford’s Law is not 100% proof that fraudulent data has been manufactured, “In the United States, evidence-based on Benford’s law has been admitted in criminal cases at the federal, state, and local levels.”

It was also used to determine fraud in the 2000 and 2004 U.S elections. I conducted a Chi-test comparing Michigan’s precinct vote counts to Benford’s law and found that Biden/Haris votes returned a, 0.000017% (Statistically significant, especially with a very large sample) whereas Trump/Pence votes returned a score of,
53.059791% and whilst looking at my data set I noticed there were 0 write-in votes in Michigan.

Very odd stuff.

This is the source I used for my data, https://detroitmi.gov/webapp/election-results.

Here are some pictures of the spreadsheets with a graph comparison of the expected results vs what actually happened.

Trump’s data matches the law

(not manufactured vote counts):

Biden’s data differs greatly (fake data)

The highlighted percentage value tells you how sure you can be that fraud was committed, typically a score below 0.05 is statistically significant, and Biden scored a 0.00000017

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