I found this Linda S. Gottfredson link on the inductivist: http://www.udel.edu/educ/gottfredson/reprints/. She is an intelligence researcher who has done work finding variables that correlate with "g". She claims "g" correlates positively to various measures of health including sperm count. I am not an expert on this "g" phenomenon but if half of what these "g-men" say is true, then it is a little spooky.
But then I got to thinking, the normal distribution itself is a little spooky. Not all variables in nature are normally distributed like height or “g”. Mortality is a good counter example. However, in most cases the averages of most random variables will be normally distributed. That is if you took the age of death for 1000 sets of 1000 people (1,000,000) the distribution of the averages would be bell shaped.
That, the results of the central limit theorem, is spooky if you ask me. If you have the misfortune of ever taking a math stat class you will have to prove the central limit theorem for various cases: independent random variables, weakly dependent random variables, identical distributed random variables, etc. What do you always get: the bell curve. This seems a lot spookier to me than the golden ratio.
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