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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Questioning Conventional Wisdom in the COVID-19 Crisis, with Dr. Jay Bhattacharya
Recorded on March 27, 2020
Dr. Jay Bhattacharya is a professor of medicine at Stanford University. He is a research associate at the National Bureau of Economic Research and a senior fellow at both the Stanford Institute for Economic Policy Research and the Stanford Freeman Spogli Institute. His March 24, 2020, article in the Wall Street Journal questions the premise that “coronavirus would kill millions without shelter-in-place orders and quarantines.” In the article he suggests that “there’s little evidence to confirm that premise—and projections of the death toll could plausibly be orders of magnitude too high.” In this edition of Uncommon Knowledge with Peter Robinson we asked Dr. Bhattacharya to defend that statement and describe to us how he arrived at this conclusion. We get into the details of his research, which used data collected from hotspots around the world and his background as a doctor, a medical researcher, and an economist. It’s not popular right now to question conventional wisdom on sheltering in place, but Dr. Bhattacharya makes a strong case for challenging it, based in economics and science.
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