Markov chains are useful for simplifying complex systems by modeling them as memoryless processes where only the current state determines the next step.

“And it's this memoryless property that makes Markov chains so powerful because it's what allows you to take these extremely complex systems and simplify them a lot to still make meaningful predictions.”