four-time Massachusetts Institute of Technology degree holder Dr. Shiva Ayyadurai delved deep into Arizona’s 2020 presidential election vote tabulation data during the state’s election integrity hearing on Monday. Dr. Ayyadurai revealed that pattern recognition software that tried to replicate the curve of Joe Biden’s reported vote total could only match the reported results if votes for Biden were counted at a 130% rate – in other words, every Democrat ballot counting for 1.3 votes to Trump’s 1.0.

Dr. Ayyadurai’s software tried numerous solutions to replicate the curve of Biden’s vote count in 734 Arizona precincts, and “the only one that we were able to come close to matching was this, and I want everyone to look at this carefully. The interesting possibility we find here is that when the Democrat percentage is 130% Mr. Biden, and -30% Mr. Trump… it matches perfectly. Near perfectly. The slopes match, the curves match the shapes match.”

“So what that tells us is that this demographic distribution of allocation of party affiliations is what can generate this, and I find it highly implausible because this means that Mr. Biden got 130% of Democrat voters, and President Trump got negative 30%,” Dr. Ayyadurai stated.

Team Trump @TeamTrump

Dr. Shiva Ayyadurai presents his data at the #ArizonaHearing, showing the only way for Biden to have statistically caught up with @realDonaldTrump was if Democrat votes came in at 130% for Biden and -30% for Trump

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