Statistical Evidence of Dominion Election Fraud? Time to Audit the Machines

Dominion Voting
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Overview

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. The apparent average “Dominion Effect” is greater than the margin in Arizona and Georgia, and close to the margin for Wisconsin and Nevada. It is not hard to picture a scenario where the actual effect in Wisconsin and Nevada was greater than the national average and would have changed the current reported outcome in those two states.

Assuming the “Dominion Effect” is real, it is possible that an audit of these machines would overturn the election.

These results are scientifically valid and typically have a p-value of less than 1%, meaning the chances of this math occurring randomly are less than 1 in 100. This article, and its FAQ, shows many ways to model the “Dominion Effect.”

The best way to restore faith in the system is to audit the Dominion voting machines in Arizona, Georgia, Nevada, and Wisconsin.

Study Design

In 2008, although Dominion was in many counties in New York and had an insignificant presence in Wisconsin, it had no presence in the rest of the USA.

Dominion built up its presence in 2012, increased it in 2016, and increased it further in 2020.

The following images, taken from verifiedvoting.org, show the build up from a geographic perspective.

state-build-up-images-1024×663-1

We wish to know if Dominion affects elections so we will test election results from 2008, when Dominion was not present, against 2020 when Dominion was fully present and alleged to have committed fraud. We will exclude New York from this analysis because Dominion already had a presence there in 2008. We also will exclude Alaska for lack of county specific data.

Our study is as follows:

  • Null hypothesis: Dominion machines are not associated with change in voter outcomes
  • Alternative hypothesis: The presence of Dominion machines affects election outcomes.

To do this study, we will link results from 2008 to 2020 by each county, parish, or in some cases city. Since this is usually based on county, we will refer to it as county in this article.

By comparing the county to itself, we are constructing the test similar to how a drug company would test the effects of its proposed therapy. In this case, we have 3,050 counties that do not have Dominion in 2008. In 2020, 657 of the counties have Dominion while 2,388 do not. If we assume that the same societal forces are acting upon all of these counties equally, then in comparing the average change from 2008 to 2020 for Dominion counties versus non Dominion counties, we should have a similar change in voter share. In this regard, it is as if Dominion is the proposed treatment, and non-Dominion is the placebo.

By Ben Turner

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