The original theory was precisely that there's a general factor ("g").
If you run anything sufficiently complex through a principal component analysis you'll get several orthogonal factors, decreasing in importance. The question then is whether the first factor dominates or not.
My understanding is that it does, with "g" explaining some 50% of the variance, and the various smaller "s" factors maybe 5% to 20% at most.
Those sub-scores BTW are very helpful in indicating or diagnosing learning disabilities. Folks with autism or adhd can have very different strength / weaknesses in intelligence.
Not perfect sure, but I don't think any other modern system exists that can still run most executables compiled for it nearly a quarter of a century ago?
Still not enough to make me want to use it, but I am genuinely impressed by that.
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