Lort's Law is a principle in the field of statistics and probability that describes the relationship between the frequency of events and their likelihood of occurrence. It suggests that the more frequently an event happens, the less likely it is to happen again in the near future. This concept is often applied in various fields, including economics and social sciences, to analyze patterns and predict future outcomes. The law is named after Lort, a statistician who contributed to the understanding of random events and their distributions. By recognizing this relationship, researchers can better interpret data and make informed decisions based on observed trends.