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Yes, I agree that Raven's matrices are pretty good at measuring something in a way that's not super-reliant on language. I'm not inherently opposed to the notion of generalized intelligence as a construct either, I just think measuring it is pretty tricky. The Flynn effect is another great example - these instruments are nuanced, and it's important to really understand them in order to interpret their results.



Totally agree, I'm somewhat in sympathy with Shalizi's argument that g is just the result of iterated factor analysis. That being said, done well, these kinds of tests can provide useful data, especially if you're willing to randomly hire to calibrate performance (which no one ever is, sadly).




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