MIT professor Dr. Shiva and colleagues discovered a pattern in Michigan voter data whereby tens of thousands of Trump votes were taken away and added to Biden totals. As the video describes the program was designed to skim more votes away from large pools of Trump votes and avoid small pools, in order to be less noticeable. The proportion of straight ticket Republican voters serves as the indicator of precincts where larger numbers of Trump only votes can be switched to Biden only votes (only refers to a vote not part of a party line ballot. The linear relationship is quite striking and abnormal. The more voters in a precinct voted Republican party line, the more Trump only votes in that precinct were taken away.
From Jo Nova website:
A “Transistor Function” algorithm has been used to alter voting patterns in Michigan. It has a “Weighted Race” feature.
Dr. Shiva Ayyadurai, an MIT engineer and Fulbright Scholar, with Phil Evans B.S.E.E. and Benny Smith (election commissioner and data analyst) have back-analyzed the pattern of voting in Michigan and figured out the electronic algorithm used to alter votes. Voting patterns are distorted in a way that can only be explained by a linear transformation (an algebraic equation) and he can approximate that equation and slope of the line. This means he can calculate how many votes were flipped and he does, and it’s massive.
This one form of fraud alone is enough to flip the election to Biden. That’s without all the postal vote backdating, the dead people voting, the out of state votes, the discarded ballots, the crooked media coverups, the pollsters fakery and the Pfizer hiding of the Covid Vaccine news. Trump won the election despite all the other trickery. If there had been real media coverage, honest vaccine headlines, exposure of Hunter Biden and honest polling the election probably could have been called by 8pm on Election day.
The action analysis starts at 13:30 minutes.
In disconcerting news, votes are stored as a decimal fraction. They are not even trying to record votes as whole numbers, as individual choices.
The dashed orange line should be a flat line, instead the downward slope “cuts in” and votes are increasingly distorted in precincts where more Republicans vote. The ratio depends on the percentage of Republican voters in a precinct. The more Republicans there are, the more likely they are to abandon Trump and vote a Biden-then-Republican ticket.
The slope of that line is “too perfect” — it’s almost perfectly linear. The transistor effect kicks in and shows that the same algorithm was used in different counties across all precincts. The pattern is non-random. Even if you wanted to believe that Rep voters were tired of Trump it would not happen in a perfect line that depended on the number of Rep voters around you. (45 mins.)
via Science Matters
November 12, 2020 at 01:27PM