Bayesian inference is a way of using past information to predict what could happen in the future. Think of it like a game. If a group of people get together and flip a coin, it's likely that the coin will land on heads or tails with the same frequency (50/50 chance). With Bayesian inference, you can use the past information (like how often the coin landed on heads or tails) to make a bet and guess what will happen the next time the coin is flipped.