[The Strange Math That Predicts (Almost) Anything](https://www.youtube.com/watch?v=KZeIEiBrT_w) mathematical systems that transition from one state to another, where the next state depends only on the current state—not the sequence of events that preceded it. Origins of Predictive Math: The video traces how Markov developed his chains to prove Nekrasov wrong, leading to a new way of modeling probabilistic systems. Markov Chains Explained: These are mathematical systems that transition from one state to another, where the next state depends only on the current state—not the sequence of events that preceded it. Monte Carlo Methods: Introduced by Stanislaw Ulam, these use randomness to solve problems that might be deterministic in principle, and are widely used in simulations today. Applications: From search engines and weather forecasting to game theory and AI, these mathematical tools help predict outcomes in complex systems. Cultural Commentary: The video also critiques how mode...