2.9.24 – EPOCH TIMES

“Mail-In Ballot Fraud Study: Trump Almost Certainly Won in 2020”

By Tom Ozimek

Excerpts from this article:

Mail-In Ballot Fraud Study Finds Trump ‘Almost Certainly’ Won in 2020 | The Epoch Times

A new study examining the likely impact that fraudulent mail-in ballots had in the 2020 election concludes that the outcome would “almost certainly” have been different without the massive expansion of voting by mail.

The Heartland Institute
study tried to gauge the probable impact that fraudulent mail-in ballots cast for both then-candidate Joe Biden and his opponent, President Donald Trump, would have had on the overall 2020 election results.

The study was
based on data obtained from a Heartland/Rasmussen survey in December that revealed that roughly one in five mail-in voters admitted to potentially fraudulent actions in the presidential election.

After the researchers carried out additional analyses of the data,
they concluded that mail-in ballot fraud “significantly” impacted the 2020 presidential election.

They also found that,
absent the huge expansion of mail-in ballots during the pandemic, which was often done without legislative approval, President Trump would most likely have won.

“Had the 2020 election been conducted like every national election has been over the past two centuries, wherein the vast majority of voters cast ballots in-person rather than by mail, Donald Trump would have almost certainly been re-elected,”
the report’s authors wrote.

Over 43 percent of 2020 votes were cast by mail, the highest percentage in U.S. history.



The new study examined raw data from the December survey carried out jointly between Heartland Institute and Rasmussen Reports,
which tried to assess the level of fraudulent voting that took place in 2020.

The December survey, which President Trump called “the biggest story of the year,” suggested that roughly 20 percent of mail-in voters engaged in at least one potentially fraudulent action in the 2020 election, such as voting in a state where they’re no longer permanent residents.

In the
new study, Heartland analysts say that, after reviewing the raw survey data, subjecting it to additional statistical treatment and more thorough analysis, they now believe they can conclude that 28.2 percent of respondents who voted by mail committed at least one type of behavior that is “under most circumstances, illegal” and so potentially amounts to voter fraud.

“This means that more than one-in-four ballots cast by mail in 2020 were likely cast fraudulently, and thus should not have been counted,”
the researchers wrote.

A Heartland Institute research editor and research fellow who was involved in the study explained to The Epoch Times in a telephone interview that
there are narrow exceptions where a surveyed behavior may be legal, like filling out a mail-in ballot on behalf of another voter if that person is blind, illiterate, or disabled, and requests assistance.

However, the research fellow, Jack McPherrin, said such cases were within the margin of error and not statistically significant.



In addition to reassessing the likely overall degree of fraudulent mail-in ballots in the 2020 election, Heartland analysts calculated the potential impact that fraudulent mail-in ballots might have produced in the six key swing states that President Trump officially lost.

This, then, was used to determine the impact of potentially fraudulent mail-in ballots on the overall 2020 election result.

First, the researchers analyzed the electoral results for the six swing states—Arizona, Georgia, Michigan, Nevada, Pennsylvania, and Wisconsin—under the 28.2 percent fraudulent mail-in ballot scenario that they estimated based on the raw survey data.

Then they calculated the electoral results in the six states under the different scenarios, each with a lower assumed percentage of fraudulent ballots, ranging from 28.2 percent all the way down to 1 percent.

For each of the 29 scenarios that they assesses,
the researchers calculated the estimated number of fraudulent ballots, which were then subtracted from overall 2020 vote totals to generate a new estimate for vote totals.

Overall, of the 29 different scenarios presented in the study, the researchers concluded that President Trump would have won the 2020 election in all but three.

Specifically, they calculated that the only scenarios that would affirm the official 2020 election result, namely that candidate Biden won, were mail-in ballot fraud levels between 1 and 3 percent of ballots cast.

Mail-in ballot fraud rates higher than 3 percent would, according to the study, mean more fraudulent Biden votes that should be subtracted from the total, putting President Trump ahead.

For example,
the adjustment to the vote tallies under fraud percentage rates between 13 and 6 percent would mean President Trump would have won Arizona, Georgia, Pennsylvania, and Wisconsin, though he would have still lost in Michigan and Nevada.

Under such a scenario, President Trump would have won 289 Electoral College votes compared to candidate Biden’s 249.

In scenarios of 5–4 percent fraud, each candidate would have received 269 Electoral College votes, but President Trump would likely still have won because Republicans controlled more state delegations and, under a tie scenario, Congress would have voted based on the number of delegates.

the researchers expressed confidence in their overall assessment that the level of mail-in ballot fraud was over 25 percent, indicative of an actual Trump win.

“We have no reason to believe that our survey overstated voter fraud by more than 25 percentage points, and thus,
we must conclude that the best available evidence suggests that mail-in ballot fraud significantly impacted the 2020 presidential election, in favor of Joe Biden, the paper’s authors wrote.

the authors of the Heartland study call for state legislatures to do all in their power to ensure the 2024 presidential election is as secure as possible, mostly by severely limiting mail-in voting and adopting other commonsense policies to prevent mail-in voter fraud.



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