Not the importance of 'top down' idealizations in Gauss's proof — these are essential even for the most empirical and 'bottom-up' of concerns: error in data collection.
Particularly interesting is how this story overlaps with the surprisingly slow process by which the mean was adopted as the main measure of central tendency.
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