https://spectator.org/covid-lockdowns-experts/
It has now been nearly a year since “public health experts” began appearing on television talk shows insisting that, to survive COVID-19, the nation would have to pursue unprecedented mitigation policies. They told us that our salvation required draconian measures such as school closures, stay-at-home orders, and business lockdowns. Moreover, we were advised not to expect a fast return to our normal lives. In early April 2020, for example, Dr. Ezekiel Emanuel solemnly assured us, “We will not be able to return to normalcy until we find a vaccine…. We need to prepare ourselves for this to last 18 months or so and for the toll that it will take.”
The good doctor didn’t mention that, for a man of his means, “the toll that it will take” would be negligible even as it disrupted the education of millions of children, rendered their parents unemployed, and wreaked social and psychological havoc throughout society. The sainted Dr. Anthony Fauci echoed Dr. Zeke: “I know it’s difficult … this is inconvenient from an economic and a personal standpoint, but we just have to do it.” Not coincidentally, Fauci is the highest-paid bureaucrat in Washington. But not all public health experts accepted the cost-benefit analyses offered by Drs. Emanuel and Fauci.
Among the first actual epidemiologists who advised that more information was needed before draconian mitigation measures could be scientifically justified was Dr. John P. A. Ioannidis of the Stanford University School of Medicine. Dr. Ioannidis questioned the reasoning used by people like Emanuel and Fauci in an essay published in STAT, where he wrote that the precipitous response to the pandemic was “a once-in-a-century evidence fiasco” and that decisions of monumental significance were being made without truly dependable data concerning how many people had been infected:
The data collected so far on how many people are infected and how the epidemic is evolving are utterly unreliable. Given the limited testing to date, some deaths and probably the vast majority of infections due to SARS-CoV-2 are being missed.… In the absence of data, prepare-for-the-worst reasoning leads to extreme measures of social distancing and lockdowns. Unfortunately, we do not know if these measures work.… [w]e don’t know how long social distancing measures and lockdowns can be maintained without major consequences to the economy, society, and mental health.