This is classical Bayesian inference. You update your priors when new information comes in. If something happens that you thought was unlikely, you update your credence about this event.
yes and perhaps the difficulty of using a frequentist approach on a sample size of 1 is why the parent post thought that you cannot learn anything from a sample size of 1...