The Optional Stopping Theorem states that for a martingale, the expected value at a stopping time is equal to the initial expected value, provided certain conditions are met. This theorem is fundamental in understanding the behavior of stochastic processes under random stopping rules and has significant implications in areas like gambling, finance, and statistics.