Basic statistics question: the GMA predictors research seems to mostly be using the Pearson correlation coefficient, which I understand to measure linear correlation between variables.
But a linear correlation would imply that billionaires have an IQ of 10,000 or something which is clearly implausible. Are these correlations actually measuring something which could plausibly be linearly related (e.g. Z score for both IQ and income)?
I read through a few of the papers cited and didn’t see any mention of this. I expect this to be especially significant at the tails, which is what you are looking at here.
Are these correlations actually measuring something which could plausibly be linearly related (e.g. Z score for both IQ and income)?
I haven’t looked at the papers to check and don’t remember but my guess would be that it’s something like this. Plus maybe some papers looking at things other than correlation.
Basic statistics question: the GMA predictors research seems to mostly be using the Pearson correlation coefficient, which I understand to measure linear correlation between variables.
But a linear correlation would imply that billionaires have an IQ of 10,000 or something which is clearly implausible. Are these correlations actually measuring something which could plausibly be linearly related (e.g. Z score for both IQ and income)?
I read through a few of the papers cited and didn’t see any mention of this. I expect this to be especially significant at the tails, which is what you are looking at here.
I haven’t looked at the papers to check and don’t remember but my guess would be that it’s something like this. Plus maybe some papers looking at things other than correlation.