New Study by John Lott Jr. Reveals Biden Received More than 225,000 Excess Votes in 2020 Election

A new report by John Lott, Jr. at the journal Public Choices reveals Joe Biden received more than 250,000 excess votes for president in the 2020 election.

Lott says there were 255,000 excess votes and possibly as many as 368,000 for Biden in the key states.

The Washington Examiner reported:

A new deep dive into discrepancies in the ballot counts of six key battleground states in the 2020 election has turned up more than 250,000 “excess votes” for President Joe Biden, and maybe far more.

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The key point in the upcoming peer-reviewed study for the journal Public Choice by economist and noted gun expert John Lott Jr. is that the excess voting may challenge — or explain — Biden’s margin of victory over former President Donald Trump in Arizona, Georgia, Michigan, Nevada, Pennsylvania, and Wisconsin.

In his report, on the Public Choice website but still awaiting final approval, Lott said that there were 255,000 excess votes and possibly as many as 368,000 for Biden in the key states.

And in a review of his statistical study he provided to RealClearPolitics, he said that “Biden only carried these states — Arizona, Georgia, Michigan, Nevada, Pennsylvania, and Wisconsin — by a total of 313,253 votes. Excluding Michigan, the gap was 159,065.”

Lott, who runs the Crime Prevention Research Center, said that his report was not meant to overturn the 2020 election but to reinforce the need for changes to voter identification, absentee voting, and provisional ballots.

“The point of this work isn’t to contest the 2020 election, but to point out that we have a real problem that needs to be dealt with. Americans must have confidence in future elections,” he wrote.

In the study, Lott reviewed voter registration rolls, actual in-person vote counts, absentee voting, and provisional ballots in counties where fraud has been alleged or suggested. He compared those counts to neighboring counties, arguing that the percentages should be similar.

Read the rest here.

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