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lumb63 3 days ago

I suspect that this is an instance where “the scientific consensus” is wrong because to suggest contrary to that is wrongthink and enough to have one ostracized not only from science, but also society as a whole. I would love to be wrong, so if someone could explain this to me, I’d be very receptive to an explanation of why this logic is wrong:

First, let’s substitute emotionally charged terms for more neutral terms; e.g. imagine rather than discussing intelligence and race, we are discussing something else highly heritable and some other method of grouping genetically similar individuals, e.g. height and family. The analogous claim would therefore be that “although height differences have a large hereditary component, it does not follow that disparities in height between families have a genetic basis.” This seems very clearly false to me. It is in the realm of “I cannot fathom how an intelligent person could disagree with this” territory for me. If variable A has a causative correlation with variable B and two groups score similarly with respect to variable A, then they are probably similar with respect to variable B. Of course there are other variables, such as nutrition, sleep, and what have you, but that does not eliminate a correlation. In fact, for something which is “highly heritable” it seems to me that genetics would necessarily be the predominant factor.

It’s a really unfortunate conclusion, so again, I’d love to be wrong, but I cannot wrap my head around how it can be.

judofyr 3 days ago | parent | next [-]

> Suggest contrary to that is wrongthink and enough to have one ostracized not only from science, but also society as a whole.

There's many scientists who have published the "contrary". They were not ostracized from science or from society as a whole. These saw next to none negative impact to their position while they were alive. Other scientists have published rebuttals and later some of the originals articles have been retracted.

J. Philippe Rushton: 250 published articles, 6 books, the most famous university professor in Canada. Retractions of this work came 8 years after his death.

Arthur Jensen: Wrote a controversial paper in 1969. Ended up publishing 400 articles. Remained a professor for his full life.

Hans Eysenck: The most cited living psychologist in peer-reviewed scientific journal literature. It took more than 20 years before any of his papers were retracted.

There's a lot of published articles about the "contrary view" that you can read. You can also read the rebuttals by the current scientific consensus (cited above).

> The analogous claim would therefore be that “although height differences have a large hereditary component, it does not follow that disparities in height between families have a genetic basis.” This seems very clearly false to me.

But this is not an analogous claim since you're talking about disparities between families. The analogous claim would be: "although height differences have a large hereditary component, it does not follow that disparities in height between groups have a genetic basis".

A very simple example for height[1]: The Japanese grew 10 cm taller from mid-20th century to early 2000s. Originally people thought that the shortness of the Japanese was related to their genetics, but this rapid growth (which also correlates with their improved economy) suggests that the group difference between Japanese and other groups was not related to the genetic component of height variance.

[1]: Secular Changes in Relative Height of Children in Japan, South Korea and Taiwan: Is “Genetics” the Key Determinant? https://biomedgrid.com/pdf/AJBSR.MS.ID.000857.pdf

Jensson 3 days ago | parent [-]

> A very simple example for height[1]: The Japanese grew 10 cm taller from mid-20th century to early 2000s. Originally people thought that the shortness of the Japanese was related to their genetics, but this rapid growth (which also correlates with their improved economy) suggests that the group difference between Japanese and other groups was not related to the genetic component of height variance.

Every group grew taller as they got richer, but Japanese people are still short even today when they are rich. So existence of other factors doesn't rule out the genetic factor.

jacquesm 3 days ago | parent | prev [-]

You're wrong. Some of the smartest kids I know are from immigrant children. It is their background - and society's response to that background - that hinders them, not their genetics. More so if they aren't lily white. Note how anything you say about this subject will be used to generalize to much larger groups (of which you can find some prime examples in this very thread) than the ones that IQ tests themselves target: individuals. And you can't say much about how an individual scores on their IQ test without accounting for their environment because that's a massive factor.

All of your arguments more or less equate to 'I don't understand the subject matter, but I'd like to see my biases confirmed'. And, predictably, you see your biases confirmed. But some of the smartest individuals that ever lived came from backgrounds and populations that - assuming the genetic component is as strong as you make it out to be - would have precluded them from being that smart.

Bluntly: wealth and access to opportunity have as much to do with how well you score on an IQ test versus what your genetic make-up is. Yes, it is a factor. No, it is not such a massive factor that it dwarfs out the other two once you start looking at larger groups. Income disparity and nutrition alone already negate it.

https://en.wikipedia.org/wiki/Effect_of_health_on_intelligen...

And that's just looking at that particular individual, good luck to you if your mom and dad were highly intelligent but you ended up as the child of drugs or alcohol consumers. Nothing you personally can do about that is going to make up for that difference vs growing up as the child of affluent and moderately intelligent people.

IQ tests are a very imprecise yardstick, and drawing far reaching conclusions about the results without appreciating the complexity behind squashing a multi-dimensional question into a single scalar, especially when you are starting out from a very biased position is not going to lead to a happy ending. Before you know it you'll be measuring skull volume.