Fauci is a Hillary Clinton fan and Deep State operative whose agenda was to hoax the country in order to destroy the economy in order to damage Trump’s reelection chances. He’s also tied to Bill Gates and will profit from Gates’d expectedly forthcoming mandatory vaccine.
Excerpted From The Gateway Pundit:
** Dr. Tony Fauci and Dr. Deborah Birx used the Imperial College Model to persuade President Trump to lock down the ENTIRE US ECONOMY.
** The fraudulent model predicted 2.2 million American deaths from the coronavirus pandemic
** The authors of the Imperial College Model shared their findings with the White House Coronavirus task force in early March
** Dr. Fauci and Dr. Birx then met with President Trump privately and urged him to shut down the US economy and destroy the record Trump economy
** A new critique of the Imperial College Model finds the study is “completely unusable for scientific purposes” — The study is a sham
** Dr. Fauci and Dr. Birx pushed a garbage model on the White House and the American public and destroyed the US economy
Devastating critique of apocalyptic covid19 "modeler" Neil Ferguson's "code": "unusable for scientific purposes, given that a key part of the scientific method is the ability to replicate results…the findings might not be real at all" https://t.co/GmD2O695SM h/t @AlexBerenson pic.twitter.com/74dHU5EQzl
— Andrew Bostom (@andrewbostom) May 6, 2020
As reported weeks ago — in mid April Dr. Fauci admitted that it was he and Dr. Birx who persuaded President Trump to lock down the US economy knowing the massive destruction this would cause in jobs, lives and commerce.
President admitted that during a press conference in April that “two very smart people” came into his office and urged him to lock down the economy or 2.2 million Americans would die from the China virus.
But President Trump did not say who those “two very smart people” were.
President Trump: “The big projection being that 2.2 million people would die if we did nothing. That was another decision we made, close it up. That was a big decision that we made. Two very smart people walked into my office and said listen these are your alternatives. And that was a projection of 1.5 to 2.2 million people would die if we didn’t close it up. That’s a lot of people.”
Dr. Fauci later admitted he persuaded the president to shut down and kill off the US economy.
Sheri Fink at The New York Times back on March 16, 2020, described the scenario that led to the US economic lockdown.
In her report Fink describes how Imperial College researchers including Neil Ferguson shared their projections with Dr. Fauci and Dr. Birx and the White House coronavirus task force:
“…Asked at a news conference with President Trump about what had led to the change in thinking by a White House task force, Dr. Deborah Birx, one of the task force leaders, said new information had come from a model developed in Britain.
Dr. Birx’s description of the findings was consistent with those in the report, released on Monday by an epidemic modeling group at Imperial College London. The lead author of the study, Neil Ferguson, an epidemiology professor, said in an interview that his group had shared their projections with the White House task force about a week ago and that an early copy of the report was sent over the weekend.”
And now Sue Denim, a software engineer for 30 years, studied the Dr. Ferguson’s model and concluded it is complete garbage and cannot be scientifically replicated.
In her concluding remarks Denim says the Imperial College model “should be retracted immediately.”
Conclusions. All papers based on this code should be retracted immediately. Imperial’s modelling efforts should be reset with a new team that isn’t under Professor Ferguson, and which has a commitment to replicable results with published code from day one.
On a personal level, I’d go further and suggest that all academic epidemiology be defunded. This sort of work is best done by the insurance sector. Insurers employ modellers and data scientists, but also employ managers whose job is to decide whether a model is accurate enough for real world usage and professional software engineers to ensure model software is properly tested, understandable and so on. Academic efforts don’t have these people, and the results speak for themselves.