After Repeated Failures, It’s Time To Permanently Dump Epidemic Models

Michael Fumento:

One reason Italy had so many “coronavirus deaths” seems to be coding, even though it’s still far more strict than the new CDC guidelines. Re-evaluation of death certificates by the country’s National Institute of Health showed only “12% with direct causality from coronavirus, while 88% of patients who have died have at least one pre-morbidity – many had two or three.”

Then Fauci finally said it. “I’ve spent a lot of time on the models. They don’t tell you anything.” A few days later CDC Director Robert Redfield also turned on the computer crystal balls. “Models are only as good as their assumptions, obviously there are a lot of unknowns about the virus” he said. “A model should never be used to assume that we have a number.”

Which, of course, is exactly how both a number of public health officials and the media have used the them.

Only one significant model appears to have been correct. But wasn’t. The University of Washington’s Institute for Health Metrics and Evaluation has actually been dramatically reduced and reduced.

Model defenders declare the plummets were based on the success of severe restrictions of civil liberties. “It just means we won,” declared an article in The Atlantic. Wrong. The bottom range of the models presumes the best-case scenario. If the low end is 100,000, that’s the low end.