Relationships between class and fertility and IQ and fertility used to routinely be negative in the not-so-distant past.
But across the developed world, they're increasingly positive, albeit only slightly. In this Swedish birth cohort (1951-67), the transition came early:
In this example, there's also some interesting confounding: between families, IQ isn't monotonically associated with fertility, but within families, it is.
Something seems to suppress the IQ-fertility relationship between families!
Sweden's positive IQ-fertility gradient (which, above, is just for males, since it's draftee data), has been around for quite a while (but has varied, too), whereas in countries like France, Japan, and the U.S., the gradient shift towards being slightly positive is more recent.
This is a really strong claim based on really scant evidence.
Add in a control for family history or use Bonferroni instead of Benjamini-Hochberg and 5-aminovaleric acid betaine goes nonsignificant. Add in polygenic risk scores too and Cyclo(Leu-Pro) goes nonsignificant.
Using a small number of the total tests (multiple comparison correction was too lax), the model with both metabolites in it alone led to p-values of 0.3512 for 5-AVAB and 0.0188 for Cyclo(Leu-Pro) and that's from a model without family history or genetic risk.
I don't see any good reason why, but the authors preferred to make inferences from a model missing important controls they had available
But to make matters worse, 5-AVAB wasn't measured super well, and the analyses with cLP were not quantitative at all, as most data was missing
I have just put out an article dealing with numerous misconceptions about this topic, and a complete explanation of why autism diagnoses have become more common.
It starts with acknowledging that more kids are diagnosed than in the past:
But this is misleading for a few reasons.
One has to do with how this data was sourced. We didn't have a DSM with autism in it before 1980, so all the oldest people in this cohort were diagnosed as adults.
Adults are underdiagnosed. Go out of your way to diagnose? Same rates.
So something is off about this graph.
A major issue is that the older diagnoses here were done under a more arbitrary criteria: Autism has only been a described thing since Kanner's studies in 1943 and mass diagnosis kicked off in 1980.
In 2016, researchers found that the minority-White wage gap was overestimated by about 10% because, at work, non-Whites tended to partake in more leisure, waiting around, etc.
They delayed releasing the study out of fear Trump would "use it as a propaganda piece."
They explicitly admitted that they let their personal politics get in the way of releasing a study with contentious but correct findings.
That doesn't inspire trust, but at the same time, given the topic, it might!
This isn't the worst example of scientists hurting the public for political reasons.
More infamously, this guy stopped the release of the COVID vaccines to prevent Trump from winning re-election in 2020, killing tens of thousands in the process.