posterior

In probability and statistics, a "posterior" refers to the updated likelihood of a hypothesis or event after considering new evidence or information. Initially, you have an existing belief called the "prior." When new data is obtained, Bayes' theorem helps combine this prior with the evidence to produce the "posterior," which is a revised, more informed probability. Think of it as adjusting your expectations based on fresh information, leading to a more accurate understanding of the likelihood of an event or hypothesis.