FLASHBACK: IT and Data Experts Identified Material Fraud in the 2020 Election in Georgia Where 30,000 Votes were Removed from President Trump Yet Raffensperger Certified These Fraudulent Results for Biden by 12,000 Votes Anyways

In the Spotlight

By Joe Hoft 

Published July 17, 2022

Data experts from the Data Integrity Group identified material fraud in the 2020 Election in Georgia that would have given President Trump the lead in the state.  However, this was ignored by Secretary of State Raffensperger who certified the state for Biden anyways. 

Looking back at a presentation to the Georgia Senate on December 30, 2020, a group of Data experts from the Data Integrity Group identified fraud that resulted in President Biden stealing the election in the state.  The state ignored this fraud and certified the election anyways.

Lynda McLaughlin from the Data Integrity Group, along with data scientists Justin Mealey and Dave Lobue, presented their results before the Georgia Senate Judiciary Subcommittee on Elections.

Justin Mealey 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.

Dave 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,” Justin Mealey said. “The voting will of the people of Georgia is not reflected in what was certified by the Secretary of State.”

Dave Lobue shared the following in his presentation:

We objectively focused on numbers, data, and machine network systems. Based on our extensive analysis against precinct, county and state voting results we’ve identified over 40 data points where negative voting, and outright vote switching across candidates has totalled over 200,000 votes.  Separately we’ve applied machine learning algorithms that are regularly used for anomaly detection of fraud and financial services that flagged over 500 precincts with over one million corresponding votes that exhibited suspicious activity.

The data analysts then went on to claim that for a candidate to receive 75% or more of all the votes in a precinct is abnormal.   Receiving over 90% in a precinct is a marker for fraud.  Then the experts provided a chart showing that in Fulton County, Georgia alone there were 51 precincts with 90-93% of the ballots for Joe Biden, 51 precincts with 94% of the ballots for Joe Biden, 36 precincts with 95% of the ballots for Joe Biden and another 36 precincts with 96 to 100% of the ballots for Joe Biden.   Overall, over 150 precincts in Fulton County voted 90% plus for Biden which was over 152,000 Biden votes.  This was clearly suspicious or outright fraudulent activity.

The data experts next presented data on DeKalb County.  In 94 precincts Biden received 90% or more of the vote.  Again, this was suspicious or fraudulent activity.

Then the experts discussed Dodge County where 7,008 votes were removed from President Trump’s vote totals.  In Putnam County where 5,935 votes were removed from President Trump’s totals and Dougherty County 17,650 votes were removed from President Trump.  In total in these counties, President Trump had over 30,000 votes disappear. 

These same analysts show that in Fulton County there were 12,173 ballots that were switched from Trump to Biden.  Combined with the votes that disappeared, there are more than 50,000 Trump votes that were eliminated from the certified results in Georgia – more than enough for Trump to win the election in Georgia.

Next, the analysts talk about how your vote eventually makes it to the New York Times and other mainstream media outlets.  After you check in at a poll pad, you make your choices and then cast your vote and a ballot image is created on your machine.  When the polls close SD cards containing all the ballot images are removed from the terminals and transported by car to a drop-off location.  Then they are transferred by police escort to an election warehouse.

Inside the warehouse, the SD cards are run through tabulation software like Dominion’s Democracy Suite.  The ballots are counted at this time and forwarded to a Dominion server that inserts those totals into a SQL server database.  From that point, it’s directly transmitted to the SCTYL election night reporting server.  This server transmits the totals to the secretary of state and data aggregators like Edison for reporting to the mainstream media.

In the data entry process for county updates, the following options are available to anyone with access to these computers working with election software as noted in the middle box in the diagram below.  These users can create new batches, reject batches, validate batches and validate and publish batches.  Anyone with access to the system at this point can manipulate and create large batches of votes.

The experts in Georgia used the SCYTL source data and the New York Times Edison data as noted in the chart below.

There is no manual interface in the process involved above because data is moved between machines and accumulated, it’s not manually tabulated by individuals.  Therefore the data showing the 50,000 ballots netted from President Trump was done through the machines.  At no point in this process should President Trump’s votes be reduced.  This is an incremental process and not a decremental one.  To date, there has been no rationale for why all these ballots were reduced from President Trump.

Finally, for the ballots that were adjudicated, the original image is deleted and replaced with the new image.  The original image is gone forever.  Therefore the ballot recount didn’t include the original ballot images that were previously destroyed.  Also, from an audit perspective, we have no idea who made the changes and created the new images.

See the entire discussion below.

Video here.

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