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I think he’s saying that the distribution of human heights has definite scale, not the Gaussian?
by klysm 2y ago
I think he’s saying that the distribution of human heights has definite scale, not the Gaussian?
- deepnet 2y agoJinlian (1964–1982) of China was 8 feet, 1 inch (2.46 centimeters) when she died, making her the tallest woman ever. According to Guinness World Records, Zeng is the only woman to have passed 8 feet (about 2.44 meters) Mean from article 163. So the facts check out. Author is correct. Also very interesting the suggestion that human height is not Gaussian. Snip : “ Why female soldiers only? If we were to mix male and female soldiers, we would get a distribution with two peaks, which would not be Gaussian. “ Which begs the question what other human statistics are non Gaussian if sexes are mixed and does this apply to other strong differentiators like historical time, nutrition, neural tribes ? Statistics is highly non-trivial. “
- nwnwhwje 2y agoNothing is Gaussian then. What probability distribution allows for Graham's Number to be a possibility?
- klysm 2y agoThe Gaussian has non-zero mass everywhere.
- dekhn 2y agoHuman height (by gender) very nearly follows a gaussian distribution- because height is determined (hand-wave away complexity) by a sum of many independent random variables. In reality it's not truly gaussian for a number of reasons.
- wodenokoto 2y agoNo, author very much says the Gaussian has definite scale: > There are a few distributions like this with a definite scale, but the Gaussian is the most famous one.