That doesn’t change the fact that you’re selectively counting only one side of a closed loop process. Methane may be a more efficient greenhouse gas than CO2 but if that effect dominated, we would expect to see the global warming trend start with the evolution of ruminants, not the Industrial Revolution (a time when the North American ruminant population actually declined a significant amount!)
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.
