Bayesian probabilities are about trying to determine the probability that something is true or false given the evidence, and updating those claims as new evidence becomes available. At one point, it was reported that the virus only seriously affected older people, specifically the elderly. What evidence led to that claim? Has posterior evidence influenced the degree to which that claim seems true? What other evidence might cause you to update the probability that the claim that “the virus only seriously affects older people” to be true?
