I would be interested in any adopter and adoptee combination.
My wife (& ex) adopted a child prior to birth and meeting the birth family almost 30 years later causes me to give weight to nature and nurture concerning personality. I was not in the picture until 6th year, so maybe it was set by then anyway.
@treco since you accept the inescapable scientific and experiential reality of deeply rooted, genetic race differences, how much would you say Christianity is an impediment to accepting this information?
Since there’s the whole made in the image of God portion of Christianity for instance, would you say attempting to take a stand against this racial differences is almost a proxy for defending modern Christianity?
This is such a misrepresentation of the facts. “Very similar” is far from the truth. Twin studies have shown that identical twins have tendencies to be more similar than fraternal twins, but not to the extent where those traits are deemed overwhelmingly hereditary; i.e. not, as you say, “very similar.” All it does is demonstrate genetic influence on those traits, not genetic dictation of those traits.
If anything, I am just being nit-picky, and certainly have not read the entirety of this thread. Perhaps you and I are of the same opinion and I merely misinterpreted your statement as excluding environmental effects.
To be fair, you should cite more than just Bouchard. While he has produced great studies over the years, it is tough to give much value to statements when only citing a single researcher.
I think this study gives a much greater insight into the topic, and includes precedent work of Brouchard.
Let me 'splain for you. I’ll try to use small words.
In that cute little Table you pasted for us, the column labeled “r” presents a statistic called the correlation coefficient for each chosen measure of “intelligence” and the respective “things it predicts” (there are plenty of problems with merely assuming that the data used are actually perfect metrics of subjective things like “creativity” and “happiness” but for the moment let’s assume that they are).
The correlation coefficient is a statistical measurement that ranges from -1 to 1. A correlation coefficient of -1 indicates strong “negative” agreement between two variables (i.e. as one thing goes up, the other thing goes down). A correlation coefficient of 0 indicates absolutely no relationship between the two variables. As you might guess, then, a correlation coefficient of 1 indicates strong “positive” agreement (as one thing goes up, the other thing goes up).
Notice how many of the things in that table actually have very low correlation coefficients? (a correlation of 0.2 is rather weak evidence of a meaningful relationship between “intelligence” and the respective measures of “outcome” listed). Whatever measure(s) they’re using for intelligence across the respective studies have strong associations with “academic performance in primary education” and “educational attainment” (hardly surprising, given that intelligence tests are typically going to be oriented around traits that associate with academic performance) but really mediocre relationships with most of the other things listed in the table (pretty much everything from “creativity” on down has no meaningful relationship with intelligence, at least based on the data presented here). So that “list of things it predicts” is really not all that compelling, champ. It says that “intelligence” is at-best-moderately associated with an assortment of academic metrics, weakly associated with another handful of things, and not at all associated with the entire bottom half of the table.
How is “explaining that your list of things that IQ predicts isn’t actually a list of things that IQ predicts because you don’t understand the graphic you copy/pasted, and therefore does not actually support your position that IQ is important” not relevant to the thread?
It’s not irrelevant, I’ve just lost interest with debating with someone who won’t take a stance on the topic at this point. You’ve followed this thread, been presented a wealth of data yet won’t openly state your stance. I mean criticizing this particular post is fine, but what is your stance when everything is weighed in aggregate?
Admittedly, this occurred in a different thread, but here you go:
When I bother to post something in this thread, it’s usually to explain that something about the latest part of your “wealth of data” is actually not all that supportive (and in some cases directly contradictory) of whatever point you’re attempting to make with it.
I am staying in my lane, by sticking primarily to what I know well (statistics and data analysis) instead of your approach of “making wild guesses and sweeping generalizations based on a “wealth of data” that you don’t understand, then stating your belief as fact.”
So then perhaps you might explain why a large part of your argument that IQ is important is dependent on the aforementioned table showing that IQ is highly correlated with educational attainment?