In The American Spectator, David Catron discusses the work of Dr. Navid Keshavarz-Nia, a cybersecurity expert who has concluded “with high confidence that the election 2020 data were altered in all battleground states.” Catron writes (abridged):
During the weeks following November 3, innumerable election experts and statistical analysts have pored over the voting data upon which former Vice President Joe Biden’s purported campaign victory ostensibly stands. A growing body of evidence ranging from straightforward ballot audits to complex quantitative analyses suggests that the tabulation of the votes was characterized by enough chicanery to alter the outcome of the election. Consequently, a consensus has gradually developed among the auditors of publicly available information released by the states, and it contradicts the narrative promulgated by the Democrats and the media. The more data experts see, the less convinced they are that Biden won.
Among the analysts who question the legitimacy of Biden’s victory is Dr. Navid Keshavarz-Nia, a cybersecurity expert whose technical expertise was touted by the New York Times last September and who has been described as a hero in the Washington Monthly. It’s unlikely that either publication will be singing his praises for his work pursuant to the recent election. His damning analysis of the electronic manipulation of votes that occurred in the early hours of November 4 appears in a sworn affidavit included with C.J. Pearson v. Kemp, a lawsuit filed by Attorney Sidney Powell in the U.S. District Court for the Northern District of Georgia. His nine-page affidavit (Exhibit 26) describes how it is possible to manipulate votes, where this occurred, and sums up his findings as follows:
I conclude with high confidence that the election 2020 data were altered in all battleground states resulting in hundreds of thousands of votes that were cast for President Trump to be transferred to Vice President Biden. These alterations were the result of systemic and widespread exploitable vulnerabilities in DVS, Scytl/SOE Software and Smartmatic systems that enabled operators to achieve the desired results. In my view, the evidence is overwhelming and incontrovertible.
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