IQ is largely a pseudoscientific swindle
medium.com
medium.com
> To get the point, consider that if someone has mental needs, there will be 100% correlation between performance and IQ tests. But the performance doesn’t correlate as well at higher levels, though, unaware of the effect of the nonlinearity, the psychologists will think it does.(The statistical spin, as a marketing argument, is that a person with an IQ of 70 cannot prove theorems, which is obvious for a measure of unintelligence — but they fail to reveal how many IQs of 150 are doing menial jobs. So “vey low IQ” may provide information, while “very high IQ” may convey nothing better than random — it is not even a necessary condition.).
At the very least, even the author seems to be saying that IQ is a useful metric for understanding the world on the low end.
Dunno what the author is trying to say. Most psychologists into IQ should know it is a normal distributed scale. And a correlation of 1 with any empiric data with IQ is just hyperbole. Who says there is any perfect correlation with something and IQ in the lowest range.
I don't think famous scientists like Einstein were particularly wealthy.
Whatever "merit" is, it's certainly easier to define (differently for each of us, I'm sure) than "intelligence" is.
Wealth is a means to get yourself novelty in the form of top notch products, services, experiences and trophy assets.
No amount of money would have bought Einstein the novelty he was seeking. Many people chase that dragon for their whole life and never get to take a hit.
"correlation is 80% between test and retest, meaning you being you explains less than 64% of your test results"
"IQ decorrelates as it goes higher"
"So “very low IQ” may provide information, while “very high IQ” may convey nothing better than random"
> "IQ decorrelates as it goes higher"
That is to be expected.
Let's say as an example we model performance as the equal sum of two gaussian distributed variables - inborn, static ability that changes between people, and how well someone is feeling on the day of the test. This is similar to how ELO scoring works in chess and video games.
In this case let's say a person scores 3 standard deviations above the average - this could either mean that person has 3 StdDev ability and an average day (a probablity of about 0.1%) OR he has 2 StdDev ability (2%) with an 1 StDev 'lucky' day (16%) for a probability of 0.3%.
This means, the further off center we go in the distribution the larger the proportion of the 'lucky' people will be, compared to innate high scorers.
Edit: On second thought, the argument works a little better if you assume that the variance of the "daily fluctuation" distribution is proportional to the magnitude of the "innate" one, so someone with an "innate" 70 varies +/- 7 per day, but someone with an "innate" 150 varies +/- 15.
That's only relevant for the shape of the distribution. Any usage of the distribution will certainly include a comparison operation which is not symmetric across IQ 100.
The idea that you can claim a person's beauty quotient is 8.675 is of course insane. That beauty itself isn't tied to a particular moment in time is crazy too. Or that we could determine what degree beauty is heritable. Or even more laughable that some subsets of people are simply more inherently beautiful then others. (Except for woman of mixed Indonesian descent who are in fact inherently attractive.)
You go through all of that and then you hear back "But I know Marilyn Monroe is more attractive then my neighbor," and sure, enough she was but that gets you exactly no where close to what your claiming.
Put a Masai (Maasai) cattleman next to a university graduate and give them the same IQ test. I venture to say that the uni graduate would win hands down. But the next test would make meaningless his 'western' background knowledge.
Put the Masai cattleman and the university graduate in the African countryside that covers the background knowledge that the Masai requires for his livelihood and leave them there. Go away and come back three months later. I venture to say that the Masai man would be fit and healthy. The uni graduate would very likely have perished.
The "background knowledge" is an odd term to use, since it's neither knowledge nor a background to anything, but anyways, the "background knowldge" ins't even useful to westerners. It's not in and of itself useful at all, and that is sort of the point. Most IQ tests are simple pattern recognition and deduction tests, because pasterns are simple and universal.
> IQ is a measure of how well you do IQ tests
We completely agree. They aren't intended to test anything except give you a score quantifying how well you do on IQ tests. On their own they are completely useless and irrelevant. Like a Scale that doesn't state any units, you might weight yourself and go "oh, I weigh 12.3 somethings" and that's not really relevant to anything. The usefulness of IQ comes entirely from the fact that we can correlate the score with other things. Just like the kilogram as a unit used in quantifying mass is useful because suddenly we can use it to correlate your score on the scale with risk of getting diabetes and other things.
IQ-score isn't a measure of knowledge, it isn't a measure of smartness, and it won't even correlate perfectly with how people would arrange people based on a perceived intelligence (though here id does get close). An IQ-score is just a score of how well you do in IQ-tests. But since there is a great deal of correlations we can draw from those correlations it's an extremely useful score. But of cause it comes under attack constantly by people who fell they are smarter than what the score suggests they are, and they might very well be smarter, maybe they are just not good at pattern recognition and deduction, that doesn't mean you're dumb. Just like weighing above a certain limit might mean you statistically have a larger change of having diabetes doesn't mean you automatically have it. But it's literally dumb when these people go out and try to argue that weighing things with scales doesn't work because they got diagnosed with diabetes even though the scale says their below the at risk group.
I've read a number of things by the author and there are a lot of interesting points. But I personally find the tone hard.