Statistical Evidence of Dominion Election Fraud? Time to Audit the Machines
From the Overview [EXCERPT]:
Statistical analysis of past presidential races supports the view that in 2020, in counties where Dominion Machines were deployed, the voting outcomes were on average (nationwide) approximately 1.5% higher for Joe Biden and 1.5% lower for Donald Trump after adjusting for other demographic and past voting preferences. Upon running hundreds of models, I would say the national average effect appears to be somewhere between 1.0% and 1.6%.
For Dominion to have switched the election from Trump to Biden, it would have had to have increased Biden outcomes (with a corresponding reduction in Trump outcomes) by 0.3% in Georgia, 0.6% in Arizona, 2.1% in Wisconsin, and 2.5% in Nevada.
Scroll down to see the U.S.A. maps of counties where Dominion machines were used:
Dominion Map - counties using Dominion Voting Machines - 2008
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Dominion Map - counties using Dominion Voting Machines - 2012
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Dominion Map - counties using Dominion Voting Machines - 2016
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Dominion Map - counties using Dominion Voting Machines - 2020
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Fact check: Vote spikes in Wisconsin, Michigan and Pennsylvania do not prove election fraud
EXCERPTS:
A spokesman for data analysis website FiveThirtyEight ( fivethirtyeight.com/ ) told Reuters via email that the jumps in Michigan and Wisconsin were due to counties releasing large batches of results all at once and that the votes were not just for Biden. One large jump of almost 140,000 ballots in Michigan was due to a clerical error that has since been resolved. In Pennsylvania both the Trump and Biden campaign gained around 1 million votes on the night of Nov. 3 to Nov. 4.
The FiveThirtyEight election blog update at 8:29 a.m. EST on Nov. 4 by Dan Hopkins, which shows a graph of the Pennsylvania vote count on the night of Nov. 3 to Nov. 4 ( here ) does not show a dump of 1 million votes for Biden alone. Between 12 a.m. and 6 a.m. EST the graph says that both Trump and Biden's votes increased by approximately 1 million. The biggest increase was from midnight to 3 a.m. after which the tallies stayed very stable, not 2:00-4:00 a.m. as the social media posts suggest.