strong law of large numbers

The strong law of large numbers states that if you repeat a random experiment many times (like flipping a coin or rolling a die), the average result will almost certainly get closer and closer to the expected value over time. In other words, as the number of trials increases, the average outcome stabilizes around the true average, making the long-term result predictable and consistent, despite randomness in individual trials.