So-Called Experts Wrong Again, This Time About Mask Mandates

In the case of the COVID-19 pandemic, group think doesn’t pay, says OutKick founder Clay Travis.

Clay used a New York Times survey of 570 epidemiologists to illustrated his point. The epidemiologists were asked earlier this month how long they thought Americans would be required to wear masks.

“80% of them said for a year or more. Some said forever. Just 5% said a few more months. Three days after the survey the mask mandate ended,” Clay tweeted. “None saw it coming.”

This is where the “group think” angle comes in.

“Time after time ‘experts’ have been proven to be guilty of group think and poor at assessing dynamic & evolving situations, even in fields they have spent their entire lives studying,” Clay tweeted. “This is fantastic evidence of this group think.”

Along with that, it is true that virus experts have sort of stuck to a worst-case-scenario narrative, then often fall silent when their theories are proven incorrect or flawed.

As Clay pointed out, this appears to be one of those times.

Written by Sam Amico

Sam Amico spent 15 years covering the NBA for Sports Illustrated, FOX Sports and, along with a few other spots, and currently runs his own basketball website on the side,


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  1. Actually most doctors make over 80 percent of their money from Medicare/ government. I will bet over 90 percent the epidemiologists are government workers teachers, University professors, paid cdc or nih grants. There maybe a couple from “think tanks” and that is where the 5 percent probably are. Ie Cato, heritage, reason foundation. There are a couple of contrarians at Stanford and Harvard (they were involved with the great Barrington declaration) but outside those very few most “epidemiologist” are wonky government types.

  2. Any field with tons of uncontrolled variables is HIGHLY vulnerable to trendy or political pressure.
    So, psychology, climate “science”, economics, social “science” …. and epidemiology among others

    • You are 100% correct. I’ve always said this about climate science. There are too many variables and this allows bias, politics and money to influence the results. The only way to stop it would be consequences for theories that don’t pan out. But of course we don’t have a real media so there never are.

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