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Data scientists find more than 432,000 votes that were systematically removed from Trump in Pennsylvania
By Ethan Huff // Jan 06, 2021

Election analysts from the Data Integrity Group have determined that President Donald Trump was robbed of nearly half a million votes in the state of Pennsylvania.


Both mail-in and Election Day votes for Trump were removed to the tune of about 432,000, they say, which if corrected is more than enough to deliver the state to the Commander-in-Chief, who is the rightful winner.

Time-series data from the election clearly shows votes for Trump decrementing in numerous counties when they should have been increasing. Something was seriously remiss – or better worded, seriously fraudulent – that deserves further attention.

In at least the following 15 counties, vote removals were occurred that definitively prove foul play and fraud:

• Allegheny County

• Armstrong County

• Carbon County

• Chester County

• Dauphin County

• Delaware County

• Erie County

• Lackawanna County

• Lehigh County

• Luzerne County

• Montgomery County

• Northampton County

• Pike County

• Washington County

• Westmoreland County

In Allegheny, Chester, and Lehigh Counties specifically, absentee votes were removed from the count.

"There were vote movements across all candidates. However, we did not see the same type of negative decrements to any of the [other] candidates that we saw with President Trump's tallies, and they happened repeatedly with no explanation," says Lynda McLaughlin, one of the group's members, as quoted by The Epoch Times.

In Georgia, more than 30,000 votes were stolen from Trump; another 12,173 were switched to Biden

The Data Integrity Group is comprised of scientists, engineers and machine learning experts who work together with their own respective skillsets to determine whether or not voting data was manipulated. In this case, they determined that it was in Pennsylvania.

They also took a look at Georgia and found that similar fraud took place. More than 30,000 votes were stolen from Trump, they found, while another 12,173 were switched to Biden. This, too, is more than enough, if corrected, to deliver Georgia to Trump.

Concerning Georgia, the Data Integrity Group did not name any specific officials at the state or county level who were involved with the fraud, nor did they name any machine manufacturers that may have been complicit in the heist.

At the end of the day, the company wants each analyzed state to authorize full forensic audits to fix the situation and uphold election integrity. To certify the results in these two states would be highly irresponsible, they say.

"The bottom line is the errors were made. Data confirms these errors and it shouldn't matter if they were machine or human, they're still errors and deserve a second review and thorough analysis with forensic audits to find the answers," the group said in a statement.

Edison Research, the company that takes the certified results from the secretaries of state and shares it with the media, admitted in its own right that "errors" could have been made throughout the process that warrant further investigation.

Edison has admitted that a reporting error did happen, resulting in a CNN live broadcast depicting 19,958 votes being magically switched from Trump to Biden in real time.

According to company executive vice president Rob Farman, this "switching" error stemmed from a brief reporting error by Edison that was later resolved. A similar situation occurred in Armstrong, Penn., when an Edison team member allegedly inputted the vote tally backwards.

At first, it was displayed that Trump had 24,233 votes while Biden only had 4,275 votes. This was apparently wrong, and was later switched to show 4,275 votes for Trump and 24,233 votes for Biden.

"If Biden wins this 'fraud,' it will never matter again 'who' or 'what' you vote," warned one commenter at The Epoch Times about the importance of all this.

More of the latest news about the fraudulent 2020 election can be found at Trump.news.

Sources for this article include:



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