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Sen. Paul Calls Out ‘Anomalies in Vote Counts,’ Big Tech

By: Eric Mack

NEWSMAX

Count Sen. Rand Paul, R-Ky., as an election “statistical anomaly” skeptic and one wary of big tech censorship of conservative voices.

Paul noted President Donald Trump’s “margin of ‘defeat'” was covered by overnight “data dumps” in four key battleground states.

Paul tweeted:

“Interesting . . . Trump margin of “defeat” in 4 states occurred in 4 data dumps between 1:34-6:31 AM. Statistical anomaly? Fraud? Look at the evidence and decide for yourself.(That is, if Big Tech allows u to read this) Anomalies in Vote Counts; https://votepatternanalysis.substack.com/p/voting-anomalies-2020”

On cue, Twitter slapped a “this claim about election fraud is disputed.”

Twitter has been using that to reject Republican attempts to contest the presidential election results amid evidence of illegal votes, including from those who are deceased, unconstitutional election law changes forced by courts and Democrat officials against the will of the state legislatures, and questions about election voting systems.

The voting anamolies outlined by the report linked to by Paul are:

  • “An update in Michigan listed as of 6:31AM Eastern Time on November 4th, 2020, which shows 141,258 votes for Joe Biden and 5,968 votes for Donald Trump
  • An update in Wisconsin listed as 3:42AM Central Time on November 4th, 2020, which shows 143,379 votes for Joe Biden and 25,163 votes for Donald Trump
  • A vote update in Georgia listed at 1:34AM Eastern Time on November 4th, 2020, which shows 136,155 votes for Joe Biden and 29,115 votes for Donald Trump
  • An update in Michigan listed as of 3:50AM Eastern Time on November 4th, 2020, which shows 54,497 votes for Joe Biden and 4,718 votes for Donald Trump”

According to the data study:

“In particular, we are able to quantify the extent of compliance with this property and discover that, of the 8,954 vote updates used in the analysis, these four decisive updates were the 1st, 2nd, 4th, and 7th most anomalous updates in the entire data set. Not only does each of these vote updates not follow the generally observed pattern, but the anomalous behavior of these updates is particularly extreme. That is, these vote updates are outliers of the outliers.”

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