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PhD Dr. Douglas Frank: The identical computer algorithm was applied in every state to steal the 2020 election

16 May

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Dr. Douglas Frank holds a Ph.D in Surface Analytical Chemistry for the University of Cincinnati. Dr. Frank is an internationally recognized scientist with over fifty scientific publications.

Expert Reveals That the Same Computer Algorithm Was Applied in Every State to Steal the 2020 Election

WHAT DR. FRANK DISCOVERED ABOUT NOV. 2020 ELECTIONS

Dr. Frank has spent countless hours since the 2020 elections following the data of the election returns county by county across such states as Ohio, Pennsylvania, and Colorado to name a few.

Dr. Frank’s scientific and mathematical investigation has revealed that there was absolutely massive cyber fraud in the 2020 elections.

Dr. Frank’s investigation reveals that the 2010 national census data was used to pre-set the algorithms in the voting machines.  This in turn manipulated the 2020 election rolls by injecting phantom votes into the election totals.

His scientific investigation documented and proved that numerous states throughout America had more people voting than lived in many of the counties.

By using the 2010 census, the cheaters [China, Iran, the Biden campaign, the Democrats?] who pre-set the algorithm “keys” produced votes for voters who had passed away or who no longer lived in the county or state.

In numerous documented cases, voters showed up to vote at their precinct only to be told they had already voted, when in fact, they had not voted.

What is now being revealed by the scientific investigation of Dr. Frank is that these Americans had their votes cast for them through a highly sophisticated computer program.

This fraud did not occur in just a few precincts, counties, or swing states but occurred on a national basis as shown by Dr. Frank’s statistics and charts.  

Dr. Frank also reveals that even in the states President Trump won, the President won those states by larger numbers than was reported.

 
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Posted by on May 16, 2021 in Uncategorized

 

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