Dat ain't no strawman...
I think the best hypothesis is that g is working memory capacity plus speed of processing.
These are real things we can measure-- how fast neurons fire; how much info people can hold in consciousness and act on.
I think the best hypothesis is that g is working memory capacity plus speed of processing.
These are real things we can measure-- how fast neurons fire; how much info people can hold in consciousness and act on.
These are basic cognitive processes that are highly plausible as an explanation / definition of what g is.
Mendel, in 1865, explained the results of his simple
breeding experiments with peas in terms of 'factors' (the word gene
hadn't yet come into existence), about which nothing was known, except
that they served in Mendel's model as the cause of the observed
hereditary variation in a few specific characteristics of peas.
5. During the subsequent 88 years, Mendel's nondescript construct was
elaborated both theoretically and empirically.
T. H. Morgan
hypothesized that genes are arranged on the chromosomes and, on the
basis of linkage analyses from breeding experiments with fruit flies,
measured genes' relative positions on the chromosome. (His ordinal
scale [in 'decimorgans' or 'centimorgans'] at the time would probably
have been unacceptable to Barrett.) Then H. Muller found that specific
functions of single genes could be knocked out or mutated by X-rays,
thereby further establishing their identity as molecular entities.
If by training them you actually learn how to calculate faster and more accurately, or you enhance your vocabulary, then yes, you probably enhance those facettes of your intelligence that are part of what is also called "crystalline intelligence". On the other hand - "fluid intelligence" (e.g. problem solving) is a lot harder to train. But in any case, it mostly means that you learn from the tasks and get better at them. This effect is extremely strong if you do the same test more than once, it may exist when doing different tests with similar tasks, and it will probably not exist at all if presented with completely unknown tasks. This only shows that there are other influences on a test-result than just your intelligence. Most if not all psychological concepts can not be measured with absolute precision. That does not mean they are not existing, just that the measurement is not perfect. It's always an estimation of the real value. Comparing a measured IQ of 120 with one of 121 and saying one was higher than the other is absurd. Comparing a result of 100 with one of 130 is justified. The critical difference is a property of the test used, and is a function of its statistical reliability.
Cool. Thank you for so eloquently proving my point.
The genetics researchers recognized that Mendel's "factors," while a convenient enough model, weren't necessarily real and did a lot of work to establish what they actually were.
Someone came up with a testable hypothesis (they're molecular strucures arranged on the chromosomes), and someone else managed to find physical evidence proving the existence of such structures.
What's the difference between this and 'g'? Night and day. Jensen and his incompetent ilk apparently assume that because Mendel's genetic "factors" were real, so must their cognitive ones. There's no empirical work to confirm the existence, no substantial theory about where 'g' arises, and no physical evidence whatsoever.
Testable hypothesis with g have been made, and born fruit, as bpesta explained earlier in this thread in a post which you seem to have ignored entirely. Either show that the correllation is not present or admit that you are wrong.
I did manage, through repeated study and test-taking, to get a score of 178 on a mostly problem-solving test. I've noticed that, during this process (it took a few years, on and off) my general ability to analyse situations and solve problems did significantly improve.
So to me, that it can be studied, improved upon, and allowed to atrophy (I don't think I'd be able to get a 178 now) is a given.
Either show that the correllation is not present or admit that you are wrong.
If you "employ" causation, you effectively "employ" correlation. It's self-evident that if A causes B, then A correlates with B. When trying to discover a causal relationship, you look for a correlation between A and B after controlling for C through Z.Meanwhile, could you explain how you demonstrate event A "causes" B without employing correlation?
If you "employ" causation, you effectively "employ" correlation.
Either show that the correllation is not present or admit that you are wrong.
Oops, I guess I didn't make that clear.RIght. But when you "employ" correlation, you don't necessarily "employ" causation.