Probabilistic Living: What Would Bayes Do?

Most of us are terrible at predicting the future because we focus on “noise” instead of “signals”. To ground yourself in reality, ask: “What would Bayes do?”. Bayes’ Theorem is a mathematical formula for updating your predictions based on new, relevant evidence.

Essentially, it calculates conditional probability: the likelihood of Event A occurring if Event B has already happened. Instead of making “salacious guesses,” you plug in known probabilities to find a result rooted in reality. Inherent in Bayesian thinking is the need to constantly update your outlook as new information arrives. It’s about accepting that while everything is uncertain, the world is often more predictable than it seems if you use the right numbers.