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

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

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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

“Much of the information that guides our behavior in the context of Covid-19 is probabilistic,” writes @sioroberts in @NYTScience. “Humans on their own, however, without a Bayesian model for a compass, are notoriously bad at fathoming individual risk.” https://t.co/CotrgT7kut https://t.co/hpedZB8wfk — PolitiTweet.org

Posted Aug. 4, 2020 Hibernated