What is the law of small numbers? How does ignoring it lead to biased decision-making? The law of small numbers is the bias of making generalizations from a small sample size. In truth, the smaller your sample size, the more likely you are to have extreme results. If you’re not aware of this principle, when you have small sample sizes, you may be misled by outliers. We’ll cover two examples of the law of small numbers in action and how to use your awareness of it to make better decisions.
Law of Small Numbers: A Deceptive Cognitive Bias






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