Tfw people still cite the Shalizi post in 2019
Of course, if this was actually true, people who tried to construct tests without g factors would have succeeded instead of repeatedly failing for decades despite best efforts. But, those who refuse to look at reality are doomed to repeat mistakes forever. https://humanvarieties.org/2013/04/03/is-psychometric-g-a-myth/ …https://twitter.com/WiringTheBrain/status/1092065551680196608 …
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I think as engineers, we often get spoiled by causality (my excuse). "anyone who understands factor analysis realises that you can have correlations and a single largest factor even if there are no underlying causal reasons... Nonetheless, these models may still be useful."
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That Statistical Myth correlates with salaries and social achievements, isn't it?
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