Hey lefties, trust the science!
That’s the mantra, right?
Well, a group of data scientists revealed stunning information in their testimony earlier this week.
During the Georgia State Senate hearing, the team’s analysis shows that 17,650 votes were switched from Trump to Biden.
“What we have here is we actually have fraud that we can prove in this election, there was fraud in Georgia’s election, we can prove it with data,” https://t.co/mm75W93TbA
— daniel schofield sr. (@SchofieldSr) January 2, 2021
The first thing I have seen that’s really convincing. There’s no way this many votes are subtracted from the number already received “I want to make that very, very clear that at no point in an incremental process, should you decrement it,” Lobue said. https://t.co/SS6I5nSrph
— Patrick Moore (@EcoSenseNow) January 2, 2021
Trust the science, leftists!
Data Scientists: Georgia Election Data shows 17,650 votes switched from Trump to Biden
— 🇺🇸 Tiff 🇺🇸 (@LATiffani1) January 2, 2021
Biden “won” Georgia by roughly 12,000 votes.
This revelation immediately flips the state for Trump.
The data scientists showed how Trump’s votes decreased in several counties when they should be incremental:
*Source: Epoch Times*
This clear example of vote switching proves election fraud on a scientific level.
That’s what the left wants, science?
Well, the group of data scientists provided the evidence.
Don’t expect the mainstream media to recognize this scathing information:
“No credible evidence” @jaketapper You do realize what an ass you sound like and how you’ve lost all credibility as a journalist and reporter. You may have one of the worst poker faces in the game. Your RBF is something you should work on in 2021 🤥https://t.co/GkltDn8KH5
— Travis Aaron Wade (@TravisAaronWade) January 2, 2021
Epoch Times reported on the findings:
A team led by Lynda McLaughlin, along with data scientists Justin Mealey and Dave Lobue, presented the results before the Georgia Senate Judiciary Subcommittee on Elections.
Mealey worked as an electronic warfare technician in the U.S. Navy for nine and a half years and was a former Central Intelligence Agency (CIA) contractor as a data analyst and programmer for the National Counterterrorism Center. He currently works for one of the “Big Four” accounting firms as a programmer.
Lobue is a data scientist with over a decade of experience in a number of industries.
“What we have here is we actually have fraud that we can prove in this election, there was fraud in Georgia’s election, we can prove it with data,” Mealey said. “The voting will of the people of Georgia is not reflected in what was certified by the Secretary of State.”
According to their analysis on time series election data which was published online as early as Dec. 24, Trump’s votes were decrementing in various counties instead of increasing as they do normally.
17,650 votes were allegedly switched from Trump to Biden as result.
The team said the switching happened at the county level and was hard to be observed at the state level because the decrements were offset by accurate data uploaded by other counties.
A “clear example of vote switching” happened in DeKalb county, they said.
At 9:11 p.m. local time, Trump received 29,391 votes as Biden simultaneously received 17,218. However, in the next reported time update, Trump’s votes became 17,218 while Biden’s changed to 29,391.
In this single event, 12,173 votes were switched, the data scientists believe.
“I want to make that very, very clear that at no point in an incremental process, should you decrement it,” Lobue said.
State-certified election results show Trump lost Georgia by 12,670 votes. The Trump campaign is still challenging the results in various courts.
McLaughlin’s team didn’t name any state official, county official, or related voting machine manufacturers for wrongdoing. They emphasized that the analysis is not partisan.
“The analysis we’re going to be reviewing is purely scientific, not based on any political affiliation, red, blue, left, or right. The objective really focuses on numbers, data, and machine network systems,” he said.