In a 1988 study,
Retherford and
Sewell examined the association between the measured intelligence and fertility of over 9,000 high school graduates in Wisconsin in 1957, and confirmed the inverse relationship between IQ and fertility for both sexes, but much more so for females. If children had, on average, the same IQ as their parents, IQ would decline by .81 points per generation. Taking .71 for the
additive heritability of IQ as given by
behavioural geneticists John L. Jinks and
David Fulker, they calculated a dysgenic decline of .57 IQ points per generation. In a subsequent attempt of theirs to more definitively identify the exact causal grounds of these observations, they argued, that "path analysis (statistics)|[p]ath analysis shows that the effects of IQ on subsequent family size are almost entirely indirect through education". Accordingly, it often proved useful to rely on
educational attainment alone in such correlation studies insofar as
it is known to be a relatively good proxy for IQ, correlating with it at circa .55. Conducting a study along such lines and therefore retrieving a correspondingly larger national sample,
David C. Rowe and colleagues (1999) found not only that achieved education had a high
heritability (.68) and that half of the variance in education was explained by an underlying genetic component shared by IQ, education, and
SES. One study investigating fertility and education carried out in 1991 found that
high school dropouts in the United States had the most children (2.5 on average), with high school graduates having fewer children, and college graduates having the fewest children (1.56 on average).
Herrnstein and
Murray, in their best-selling 1994 book
The Bell Curve, argued that the average
genotypic IQ of the United States was declining due to both dysgenetic fertility and
large scale immigration of groups with
ex hypothesi lower average IQ than the previous population mean. Controversial psychologist
Richard Lynn has been a well-known advocate for the validity of dysgenic hypotheses under modern conditions. In a 1999 study, he examined the relationship between the intelligence of adults aged 40 and above with their respective numbers of children such as siblings, positing that "correlations were found to be significantly negative at -0.05 and -0.09 respectively, indicating the presence of dysgenic fertility." Furthermore, reporting that there was virtually no correlation between women's intelligence and the number of children they considered ideal, he surprisingly observed that this negative correlation held true
only for women. In 2004, Lynn and Marian Van Court attempted a straightforward replication of Vining's work. Their study returned similar results, with the genotypic decline measuring at 0.9 IQ points per generation for the total sample and 0.75 IQ points for whites only. However, a 2014 paper by similarly controversial
evolutionary psychologist Satoshi Kanazawa, using data from the
National Child Development Study, found that more intelligent women and men were, in fact, both more likely to want to be childless, but that only more intelligent women – not men – were more likely to
actually be childless. It is helpful to exclude some confounding variables from adjacent research regarding the correlation of
fertility and income. In a 2006 statistical analysis of the US
General Social Survey, it was found that higher relative income indeed led to both a greater frequency of sex and greater fecundity
in men. Nonetheless, intelligence and fertility were shown to remain negatively correlated throughout. This exact asymmetry was again replicated based on data from
National Longitudinal Surveys. Population economist
Vegard Skirbekk on the other hand had already argued on the grounds of another large multi-national dataset that this characteristic "status-fertility relation" had long since stalled or even reversed for males just as well. Criminologist
Brian Boutwell et al. (2013) reported a strong negative association between county-level IQ and county-level fertility rates in the United States. == Possible causes ==