Coronavirus and the Stats: Your Questions Answered
Apr 23, 2020
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David Spiegelhalter, a prominent statistician from the University of Cambridge, Sheila Bird, a biometrics expert from the University of Edinburgh, and John Ioannidis, a Stanford professor known for critiquing COVID-19 data, share insights on pandemic statistics. They tackle the complexities of death counts and the implications of herd immunity versus lockdowns. The trio discusses varying impacts across Europe, the collateral damage of healthcare disruptions, and the importance of context in interpreting the pandemic data, offering a clearer understanding of this global crisis.
Feeling confused by all the data and metrics about coronavirus that are flying around? In this episode, Britain’s most eminent statistician David Spiegelhalter, biometrics expert Sheila Bird, and the American scientist John Ioannidis, who has written that Covid-19 ‘might be a one-in-a-century evidence fiasco’. The conversation is chaired by Anne McElvoy of The Economist.