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I like each of these bc they each compress a pretty complex counterargument into a single image that avoids getting lost in the details. Are there more? https://t.co/zx3qrcRgZ4
@eshear The proliferation of images is such a gigantic shift in the experience of human communication. It staggers me to think sometimes about how early we are, how many more things like this will be built, etc
@eshear great point. re #3 tho, important not to confuse normal distribution w cauchy distribution, whose tails are so fat that while it has a sample mean, the mean never converges because outliers are common enough to drag the mean away from the peak in the center https://t.co/jkdNnY8CTh
@eshear https://t.co/CefVpMEwn0
@eshear Maybe these from https://t.co/Xl9wk0ZpxP https://t.co/fy8f29Zz4t
