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The amount they improved was directly related to the adopting family's socioeconomic status. "Children adopted by farmers and laborers had average IQ scores of 85.5; those placed with middle-class families had average scores of 92. The average IQ scores of youngsters placed in well-to-do homes climbed more than 20 points, to 98." [41] [49]
In the United States, the increase was continuous and approximately linear from the earliest years of testing to about 1998 when the gains stopped and some tests even showed decreasing test scores. For example, the average scores of black people on some IQ tests in 1995 were the same as the scores of white people in 1945. [70]
The genes that influence how smart we are are located on the X chromosomes. And if you recall, women have two X chromosomes. There's basically no way your smarts come from Dad.
This is one of the most important factors in understanding human group differences in IQ test scores and other measures of cognitive ability. It is estimated that genes contribute about 20–40% of the variance in intelligence in childhood and about 80% in adulthood. Thus the environment and its interaction with genes account for a high ...
IQ tests are valid measurements of a real human ability—what people generally describe as "intelligence"—that is important to many parts of contemporary life. Intelligence, as measured by IQ tests, is about 80 percent heritable. Intelligent parents are much more likely to have intelligent children than other parents.
His discovery was confirmed later by many other studies. While trying to understand these remarkable test score increases, Flynn had postulated in 1987 that "IQ tests do not measure intelligence but rather a correlate with a weak causal link to intelligence". [135] [136] By 2009, however, Flynn felt that the IQ test score changes are real. He ...
Genetic correlations can be used in GWASes by using polygenic scores or genome-wide hits for one (often more easily measured) trait to increase the prior probability of variants for a second trait; for example, since intelligence and years of education are highly genetically correlated, a GWAS for education will inherently also be a GWAS for ...
A theory to explain the fertility-intelligence relationship is that while income and IQ are positively correlated, [35] income is also in itself a fertility factor that correlates inversely with fertility, that is, the higher the incomes, the lower the fertility rates and vice versa.
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