Scientist, engineer, politician, entrepreneur, and 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.
Dr. Ayyadurai found that there were two possibilities for such an implausible descrepancy: either there was a niche demographic of Independent Biden voters that existed beyond the computer model’s ability to replicate the curve, or Biden’s votes were multiplied by 1.3 (130%).
In the latter scenario, President Trump’s vote totals would have to be reduced by 30% in accordance with the 130% gained by Biden, a scenario could only occur through swapping preexisting votes between the two candidates.
“So basically, votes were being eaten from President Trump and being handed over to Mr. Biden,” Dr. Ayyadurai noted.
The Doctor’s full presentation, as well as other presentations of evidence of vote tampering, can be can be viewed below.