https://en.wikipedia.org/wiki/John_Ioannidis#COVID-19
> In an editorial on STAT published March 17, 2020, Ioannidis called the global response to the COVID-19 pandemic a "once-in-a-century evidence fiasco" and wrote that lockdowns were likely an overreaction to unreliable data.[14] He estimated that the coronavirus could cause 10,000 U.S. deaths if it infected 1% of the U.S. population, and argued that more data was needed to determine if the virus would spread more.[28][5][14] The virus in fact eventually infected far more people, and would cause more than 600,000 deaths in the U.S.[29][28][5] Marc Lipsitch, Director of the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health, objected to Ioannidis's characterization of the global response in a reply that was published on STAT the next day after Ioannidis's.[30]
> Ioannidis widely promoted a study of which he had been co-author, "COVID-19 Antibody Seroprevalence in Santa Clara County, California", released as a preprint on April 17, 2020. It asserted that Santa Clara County's number of infections was between 50 and 85 times higher than the official count, putting the virus's fatality rate as low as 0.1% to 0.2%.[n 1][32][29] Ioannidis concluded from the study that the coronavirus is "not the apocalyptic problem we thought".[33] The message found favor with right-wing media outlets, but the paper drew criticism from a number of epidemiologists who said its testing was inaccurate and its methods were sloppy.
Okay then.
Nothing like spending a career picking apart people's research and then generating absolutely garbage research outside your field of expertise, that is widely criticized by people who are actually the experts in that field...as being inaccurate and sloppy.
COVID hit, dude went all Don Quixote seeing conspiracies everywhere, and then generated a paper that suited his personal biases...
