“Type I” and “Type II” errors, names first given by Jerzy Neyman and Egon Pearson to describe rejecting a null hypothesis when it’s true and accepting one when it’s not, are too vague for stat newcomers (and in general). This is better. [via]
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A closer look at the age old question of where there are more bars than grocery stores, and vice versa.
Many lists of maps promise to change the way you see the world, but this one actually does.
Due to budget cuts, there is no plan for an updated atlas. So I recreated the original 1870 Atlas using today’s publicly available data.
Here’s a chart to show you how long you have until you start to feel your age.