A long tail distribution, also known as a fat-tailed distribution, exhibits extreme values that occur more frequently than predicted by a normal distribution. It has a heavy tail, indicating a higher probability of rare and large events compared to a standard distribution. Examples include the distribution of financial assets, natural disasters, and disease outbreaks, where small but frequent events coexist with infrequent but impactful extreme events.
