In Bayesian A/B testing, we model the metric for each variant as a random variable with some probability distribution.
By accepting variants that offer a small improvement, Bayesian A/B testing asserts that the false positive rate — the proportion of times we accept the treatment when the treatment is not actually better — is not very important.
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Often we have an uncomforable feeling, such as sadness, fear or shame, our first reaction is to reject that feeling.
We may tell ourselves that feeling is a bad feeling that we do not want to have. Then we may do something to try to get rid of the feeling, such as trying to push it awa...
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