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“Too Long to Read”: Fauci Dismissed Scientist's Warning that China Was Lying About COVID-19 Deaths

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Thanks to emails obtained via the Freedom of Information Act, we can now see Dr. Anthony Fauci’s emails during the COVID-19 pandemic, some of which show us his responses to the scientific community about what was happening.

One such email from physicist Erik A. Nilsen shows a Fauci that apparently didn’t have the patience to read due to its length, and dismissed it with a short and curt response of “too long to read.” What Fauci was dismissing, however, was the clear indication that China was lying about the number of people that were dying due to COVID-19, and that the virus was circulating within the U.S. since 2019.

It’s an email that’s worth reading. Within it, Nilsen tells Fauci that the information he has very well might be new and could save lives within the United States if it’s acted upon quickly.

“I’m only mentioning this so you don’t think I’m a paranoid freak,” wrote Nilsen. “I’m convinced you already know the outbreak is way past the point of containment, and, unfortunately, herd immunity will soon ensue. Then, outbreak 2 will happen shortly after, and, hopefully, not ad infinitum.”

“I’m writing to make sure you already know or at least suspect everything I’m about to tell you,” he continued. “I need to clear my conscience because it’s possible (albeit unlikely) that some of what tell you is new and possibly useful in, at least, saving lives in the USA.”

Nilsen then details the spread of the virus in China through models he created through discussions he’s had with other people in the scientific community, including scientists within China. He was even blocked for a few days from Chinese servers and only given access again after a warning from the country.

“I’m confident that China stop counting dead COVID-19 infected bodies since ~January 7, 2020. They’ve been adding fabricated data daily to show (to save face) the world and their own people an impressive flattening of China outbreak curve,” wrote the physicist. “It’s easy to prove this via data analysis because, for example, improbable coincidences occurred in much of the

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