The law of small numbers (or hasty generalization) is the tendency to jump to a conclusion without enough evidence. In statistics, it’s called bias from insensitivity to sample size – generalizing from a limited number of events (a sample) selected from a much larger number of events (the population). For example, if a mutual fund…
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