This is a statistical tool for generating a distribution of likely outcomes given a probability distribution of the discrete events. The broad-strokes mechanism is repeated sampling of the underlying probabilities, combined into an outcome. The result is an aggregated probability distribution.
Given 6 events, each a coin flip (50/50 likely), you could calculate the true probability of getting all heads with probability of random selection. Monte Carlo let’s you empirically reach a similar number but with an approximate view of what you’d see as a distribution.