The intuition that random events such as coin flips should alternate between heads and tails more than they do has been described by statisticians as a “clustering illusion.” Random distributions seem to us to have too many clusters or streaks of consecutive outcomes of the same type, and so we have difficulty accepting their true origins.
An inbuilt tendency to interpret clustering as an indication of a causal process at work.
