https://issuesinsights.com/2020/03/27/if-the-covid-19-models-are-wrong-what-does-this-mean-for-climate-models/
It wasn’t long ago, just in recent days, in fact, that we were being told the coronavirus was going to kill more than 2 million Americans. But some researchers are indicating the forecasts of doom were driven by faulty models.
What then, are we supposed to make of the models that have been fueling the global warming hysteria?
The forecast used to predict 2.2 million U.S. deaths and 510,00 deaths in Great Britain was produced by Imperial College in London. It is “the epidemiological modeling which has informed policymaking in the United Kingdom and other countries in recent weeks.”
OK, but is the information reliable? Epidemiologist Sunetra Gupta is doubtful.
“I am surprised that there has been such unqualified acceptance of the Imperial model,” he said in the Financial Times.
Gupta’s team of researchers at Oxford believe both the hospitalization and mortality rates are much lower than the worst estimates, and immunity is more widespread than previously thought.
The Wall Street Journal has published an op-ed from professors of medicine at Stanford who said “projections of the death toll” reaching 2 million to 4 millon “could plausibly be orders of magnitude too high.” They believe “epidemiological modelers haven’t adequately adapted their estimates to account for” a number of important factors.