Closely related to stereotyping, the human mind tends to generalize based on general rules from a sample set of data. But sometimes when the data does not fit the population, it leads to overgeneralization. As Daniel Kahneman puts it: Extreme outcomes (both high and low) are more likely to be found in small than in large samples. This explanation is not causal.