*apparently*
(smdh for not remembering this properly)
the same test can have a false positive rate of near 0% (say you have a great test and/or are testing only very very sick patients in a overwhelming outbreak eg Mexico)
or near 100% (say testing COVID19 in New Zealand)
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a critical number to know is: what is the chance that if you test someone who is negative, what is the chance they tests positive. if you can this x then you multiply this by the number of tests N and then you know the # of false positives... does anyone remember that term?
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Replying to @DanielleFong
I think the worse are the false negative, because they still going around infecting others ... https://www.mathsisfun.com/data/probability-false-negatives-positives.html …
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yes you are right but the meme running around (because elon said it)
is that a lot of tests are false positives and i'm trying to outrace the misunderstanding.
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