The law of large numbers is a fundamental principle in probability theory that states that as the number of independent trials or observations increases, the average of the results will converge towards the expected value or mean. This principle is crucial in the context of insurance and imperfect information, as it helps explain how insurance companies can accurately predict and manage risk by pooling a large number of independent risks.