The Mental Models Daily Podcast

Overgeneralizing from Small Samples


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Overgeneralizing from small samples occurs when individuals draw broad conclusions or make sweeping generalizations based on limited or unrepresentative data. This cognitive bias can lead to inaccurate beliefs or judgments about a larger population, as the sample size may not adequately capture the diversity or complexity of the whole.


Jumping to conclusions from limited data? That’s a shortcut to mistakes. Analyze broadly, decide wisely.


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The Mental Models Daily PodcastBy Mental Models Daily

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