584. Examining School Closure Policies During The Pandemic: Untested Models Vs. Empirical Evidence Feat. David Zweig UnSILOed With Greg LaBlanc podcast

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584. Examining School Closure Policies During the Pandemic: Untested Models vs. Empirical Evidence feat. David Zweig

2d ago 1:13:03

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How did political and social pressures affect public health decisions during the pandemic, and how did media reporting amplify those effects? What is the cost when experts detach from evidence-based medicine for policymaking and defer decisions to those without the proper expertise?

David Zweig is a journalist, novelist, and musician. He is also the author of An Abundance of Caution: American Schools, the Virus, and a Story of Bad Decisions.

Greg and David discuss David’s journey from working on a different book during the pandemic to documenting the school closure policies and their implications. They cover various topics, including public health, expertise, the state of science, partisanship, tribalism in academia and the public sector, and how those factors influenced the policy and decisions during COVID. David talks about the decision-making processes behind prolonged school closures despite falling hospitalization rates, the role of media coverage, the politicization of public health recommendations, and the long-term impact on children’s education and mental health.

*unSILOed Podcast is produced by University FM.*

Episode Quotes:

The failure of the expert class

30:39: One of the reasons that I felt motivated to spend years writing this book [An Abundance of Caution: American Schools, the Virus, and a Story of Bad Decisions], and just painstakingly trying to create a document. So I am hoping that, if I am not too big for my britches here, I hope in a decade, or a couple of decades or more from now, people will look back at the book and use this as a tool to understand: How does something like this happen, where science and evidence are ignored? And not only is it ignored, but it is ignored by the people who ostensibly are the experts who should know better. I do not spend a lot of time criticizing Trump, or, you know, Alex Jones, or conspiracy theorist people, because that's boring. I already do not expect them to know what is going on, but I do expect people with advanced degrees. I do expect physicians, I do expect these public health experts. And my book, in many ways, is a study of how those people—it is the failure of the expert class.

Intuition over data

15:28: Real-world, like empirical evidence, was ignored almost entirely. And when it was acknowledged, even in a minimal way, it was dismissed with a bunch of really contrived reasons that were based again on the expert's intuition. None of this was based on any evidence or data.

When models reflect privilege

01:07:54: It's quite important to note that the people who made the models also tended to be the people who did the best in the pandemic. That's what this guy Eric Berg's philosopher, who I interviewed, pointed out to me many times. Like, boy, that's pretty ironic that the people who chose how to create these models, they were the ones who were in comfortable homes. They were the ones who had their kid. They probably had one or another parent at home with the kid to help them with their studying. Maybe they could pay for a tutor. Maybe they went to their vacation home somewhere. If the people designing the pandemic response were in a studio apartment in the Bronx with four children, with one absent parent, and with one of the kids sick and with a learning disability, I'm pretty darn sure that their recommendations would have been quite different if those were the circumstances they were living in.

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