At the core of Bayes’ rule is a principle: Even if we have very little data, we can still forecast the future by making assumptions and then skewing them based on what we observe about the world.
Humans are astoundingly good Bayesian predictors, even if we’re unaware of it. Humans can make these kinds of calculations without having to think about them very hard. Sometimes, however, we make mistakes.