HUGE UPDATE: Dr. Fauci and Dr. Birx Used Imperial College Model — NOW CONFIRMED AS A COMPLETE FRAUD — To Persuade President Trump to Lock Down Entire US Economy!
By Jim Hoft | Gateway Pundit
Published May 6, 2020

Bullet Points

** 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 economyand 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

[snip]

...After Dr. Birx and Dr. Fauci sat with the president the US went into lockdown and since that time over 30 MILLION Americans have lost their jobs and thousands of companies have gone bankrupt.

In late March, Neil Ferguson, who was behind the Imperial College coronavirus study, backtracked and said 20,000 Brits may die from the coronavirus instead of his original estimates of 500,000.

Neil Ferguson resigned from his government post as researcher this week after he was caught breaking his own lockdown rules by meeting with his married mistress at his home.

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.