**The law of large numbers** is one of the most important theorems in probability theory. It states that, as a probabilistic process is repeated a *large number of times*, the relative frequencies of its possible outcomes will get closer and closer to their respective probabilities.

For example, flipping a regular coin many times results in approximately 50% heads and 50% tails frequency, since the probabilities of those outcomes are both 0.5.

The law of large numbers demonstrates and proves the fundamental relationship between the concepts of **probability** and **frequency**. In a way, it provides the bridge between probability theory and the real world.