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by jw887c
1624 days ago
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My favorite flaw of averages isn't even mentioned in this article. It's the aggregation of averages across covariates. The more covariates (higher dimensions) your problem has, the less likely the population will exist "in the average". This was explored in a famous study of Air Force pilots and when measuring across 10 different dimensions, found that 0 pilots were "average" across all 10. https://www.thestar.com/news/insight/2016/01/16/when-us-air-... >There was no such thing as an average pilot. If you’ve designed a cockpit to fit the average pilot, you’ve actually designed it to fit no one. edit: wrong link |
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It's probably this one?
https://www.thestar.com/news/insight/2016/01/16/when-us-air-...
(PS: this is my favourite pet theory why UX is such a trainwreck these days, UIs are designed for an "average user" that doesn't exist, driven by "telemetry averages")