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Any of these individuals listed above know how to contact me immediately (if you don’t already) https://t.co/HxXSwnuZ6N. This clip with what I discovered ties it all Together! Triple Booyah!— BobbyPiton (@BobbyPiton3) December 22, 2020
Data scientist Bobby Piton has been studying raw data from the Nov. 3 election in several states.
Through his work he has identified a group of what he calls “Phantom Voters” – voters who vote in ways that are highly suspicious.
In Arizona, for example, Piton has identified 460,000 voters who apparently classified themselves as “U” voters when filling out voter registrations. The “U” designates a voter’s gender.
Piton believes it stands for “Unidentified” or “Unsure” but has been unable to get a clear answer from Arizona officials (which is bizarre in itself).
These “U” voters, Piton says, voted nearly in unison – with a 94% correlation – across all ages from 18 to 100 in the Nov. 3 election – a number that is nearly impossible to have occurred naturally.
By way of contrast, Piton points out the correlation number is 63% for voters who classified themselves as “M” (male) voters and 58% for “F” (female) voters. These lower correlation numbers are more in-line with traditional patterns as a person’s voting pattern tends to change over time.
Piton is also conducting the same analysis on voters in Pennsylvania. The findings there are even stranger as there is no way for voters to even designate themselves as “U” voters. Officials there have no idea where the designation came from or how it got in the data.
Please watch and share this important analysis. You can watch Piton’s interview with Mike Adams in its entirety here.