The passage from a Gaussian distribution of talent to a power-law distribution of outcomes is explained by network effects, demand/scarcity influence on pricing of non-commodities & other nonlinearities that cause every inch of talent to be extremely > valuable than the previous.
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What about that long-term Harvard study of their graduates? IIRC the most important advice was to not become an alcoholic... and presumably graduate from Harvard.
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The key finding of that longitudinal study was that happiness stemmed from close social bonds over your lifetime. In terms of financial success the study was less proscriptive IIRC.
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No reason to reconcile it.
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Hm. Curious to read and see what traits the "talented" people were considered to have and what traits might have gone unconsidered.
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should have been submitted to Stats, not Physics
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They would be less than impressed there. This is the most complicated and obtuse way of modeling a log-normal distribution & looking at cutoffs I've ever seen (comes out of their defining each event as multiplicative) and adds nothing to previous cliometrics or expertise work.
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That sounds like a very interesting study. :) Why would the result they found be counterintuitive (last sentence), though?
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For a high IQ, be sure to choose your grandparents very carefully.
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