The New York Times

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Last Checked Sept. 6, 2020

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Tue Aug 04 18:23:15 +0000 2020

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The New York Times @nytimes

Take the scenario of Covid-19 antibodies testing, for instance. Running the numbers through the Bayesian gears, the theorem calculates what you really want to know: the probability that the test result is correct. https://t.co/CotrgT7kut https://t.co/q65tCXIFvJ — PolitiTweet.org

Posted Aug. 4, 2020 Hibernated

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The New York Times @nytimes

Known as Bayes’s theorem, the formula is a device for rationally updating our prior beliefs and uncertainties based on observed evidence. In other words, “As we learn more, our beliefs should change,” said Marc Lipsitch, an epidemiologist at Harvard. https://t.co/CotrgT7kut https://t.co/n5bGblFWoq — PolitiTweet.org

Posted Aug. 4, 2020 Hibernated

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The New York Times @nytimes

Bayes’s theorem as applied to the Covid-19 antibodies test is expressed as a probability, “P” — with, say, “T” for a positive test result and “C” for the presence of Covid-19 antibodies https://t.co/CotrgT7kut https://t.co/oMBeIsy9l4 — PolitiTweet.org

Posted Aug. 4, 2020 Hibernated