After watching the MIT Dr. Shiva video on vote data analysis, along side other analytics and I came across a realization.
The 10-15 point Biden landslide "polls" were predicting was supposed to happen, it was calculated out.
But there were SO many registered Democrats that /1
actually voted for Trump, things didn't go so cleanly.(and of course super turnout on new voters, but in this case D votes are important).
Dr. Shiva's analysis shows that vote switching was done by an algorithm, and the more R a district is, the more votes that get switched. /2
There is a point where the % of R is high enough, then algorithm starts applying.
So in D districts, it looks like nothing was tampered with. And yet Trump still had significantly more votes than party tickets.
Many Democrats voted Trump. /3
So one of the big stumbling blocks the cheaters tripped over was registered D voting for Trump.
In all likelyhood, @BrandonStraka, the #WalkAwayCampaign and people like them, kept the race close enough despite the cheating. (special shout out to @DrKarlynB!) /4
So I just wanted to say a big thank you to everyone who worked hard to reach out and campaigned hard to disprove the lies in media. Show them they weren't alone.
Your efforts clearly found their mark.
Thank you.
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There is a lot of obvious red flags that cast shadows on the election BEFORE Trump said anything.
Many people, professional and private citizen alike, have since been digging. We have several forms of analytics that show clear anomalies in the battle ground states, favoring Ds.