In March 2021, a doctor in Brazil named Ricardo Savares published a now-discredited research paper that went viral on social media. It had been a year since the first wave of the COVID-19 pandemic forced governments to apply desperate measures collectively known as lockdowns. The findings were quite remarkable on the face of it, says Gideon Mayavid's cats, an epidemiologist at the University of Wollongong, Australia. As he and others would show, the results were wrong because of errors in the paper's choice of statistical methods.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode