eli5: how does the probability of something being wrong (e.g., a false negative on an at-home/rapid antigen test) change when you do the same test multiple times?

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if there is a 98% chance the results will be correct (making it ~1/50 times it will be incorrect), would taking the test twice make the chance of it being incorrect ~1/100? then after three times ~1/200? or would it not change at all and still be 1/50?

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Anonymous 0 Comments

Doesn’t change, the longer you repeat the study the closer to the real probability it gets. Probability is not exact and the sample would be way to small. If its a 1 in 50 then you need at least 50 samples

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