Thanks! I guess one way to motivate our argument is that if the information-processing capabilities of humans were below the diminishing returns point, then we would have expect that individual humans with much greater than average information-processing capabilities to have distinct advantage in jobs such as CEOs and leaders. This doesn’t seem to be the case.
I don’t understand, this seems clearly the case to me. Higher IQ seems to result in substantially higher performance in approximately all domains of life, and I strongly expect the population of successful CEOs to have many standard deviations above average IQ.
How many standard deviations? My (admittedly only partially justified) guess is that there are diminishing returns to being (say) three standard deviations above the mean compared to two in a CEO position as opposed to (say) a mathematician. (Not that IQ is perfectly correlated with math success either.)
At least for income the effect seems robust into the tails, where IIRC each standard deviation added a fixed amount of expected income in basically the complete dataset.
I don’t understand, this seems clearly the case to me. Higher IQ seems to result in substantially higher performance in approximately all domains of life, and I strongly expect the population of successful CEOs to have many standard deviations above average IQ.
This can’t actually happen, but only due to the normal distribution of human intelligence placing hard caps on how much variance exists in humans.
There are only (by definition) 100 CEOs of Fortune 100 companies, so a priori, they could have an IQ score of the top 100 humans which (assuming a normal distribution) would be at least 4 standard deviations above the mean (see here).
I don’t understand, this seems clearly the case to me. Higher IQ seems to result in substantially higher performance in approximately all domains of life, and I strongly expect the population of successful CEOs to have many standard deviations above average IQ.
How many standard deviations? My (admittedly only partially justified) guess is that there are diminishing returns to being (say) three standard deviations above the mean compared to two in a CEO position as opposed to (say) a mathematician. (Not that IQ is perfectly correlated with math success either.)
At least for income the effect seems robust into the tails, where IIRC each standard deviation added a fixed amount of expected income in basically the complete dataset.
This can’t actually happen, but only due to the normal distribution of human intelligence placing hard caps on how much variance exists in humans.
There are only (by definition) 100 CEOs of Fortune 100 companies, so a priori, they could have an IQ score of the top 100 humans which (assuming a normal distribution) would be at least 4 standard deviations above the mean (see here).