Why Those COVID-19 Models Aren’t Real Science, by Gary Galles

The shortcomings and deficiency of “official” coronavirus science are manifest and legion. From Gary Galles at mises.org:

Since the onset of the COVID-19 crisis, Americans have been told countless times that public policy was based on Science (with a capital S) and that the public should just obey the scientists.

But the accuracy of their predictions and the consequent appropriateness of policies seems to have been little better than Ask Dr. Science and the 0 percent accuracy rate of its answers.

In fact, the massive errors in measurement that have been part and parcel of the scientific COVID Kops show should bring us back to what Lord Kelvin said about science and measurement: “If you cannot measure it, then it is not science” and “your theory is apt to be based more upon imagination than upon knowledge.”

To get an idea of how serious the COVID measurement problems are, one need only look to the two medical experts most commonly appearing on our TV screens. Dr. Anthony Fauci recently testified his belief that its death toll is “almost certainly higher” than reported, because “there may have been people who died at home who did have COVID, who were not counted as COVID because they never really got to the hospital.” In contrast, the Washington Post recently reported that Deborah Birx believes that the Centers for Disease Control and Prevention’s (CDC) accounting system is double counting some cases, boosting case and mortality measurements “by as much as 25 percent.” And what could be a clearer statement of the measurement problems than Birx’s assertion that “there is nothing from the CDC that I can trust”?

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4 responses to “Why Those COVID-19 Models Aren’t Real Science, by Gary Galles

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