@StuartJRitchie A friend reviewed your book. If you're not bored of responding to reviews, curious what you think:https://www.goodreads.com/review/show/1806210914 …
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ha, i totally missed myself doing that! went back to look over the book and it's right there. whoops
anyway, my basic beef w/ g is: i think a lot can go wrong when you do stats w/o an underlying causal model
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basically i just agree with borsboom's "attack of the psychometricians" http://www.stat.cmu.edu/~brian/Pmka-Attack-V71-N3/pmka-2006-71.3-425-440-borsboom.pdf …
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and i thought fitness/"f" was a clear example where we could do stats w/o modeling and not really learn much
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in the book, you mention thomson then say g "exists" in any event; i think existence claims require models
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unless it's the case that any factor i get out of PCA etc "exists," giving us a weird ontology full of...
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...things with no clear tie to the casual structure we're more sure of (from physics etc)
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I think we actually agree in every respect. By "exists" I just meant that the factor is there (it could've been otherwise, cf. Thurstone)...
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...in the data, explains a lot of the variance (again, could've been otherwise), and predicts stuff IRL.
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*nod* but if those are the only criteria, we'd end up granting existence to nonsense variables ...
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