The inspection paradox occurs when sampling methods systematically oversample larger instances, leading to biased perceptions across various domains like class sizes, flight occupancy, and social networks. Through multiple real-world examples and data analysis, the phenomenon demonstrates how observers often experience skewed distributions that differ significantly from actual statistics. Statistical awareness of this paradox is crucial for accurate data interpretation and experimental design.

http://allendowney.blogspot.com/2015/08/the-inspection-paradox-is-everywhere.html

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