Read Gwern’s review: Aside from that, it’s a lot of wasted opportunity. For instance, the income~IQ relationship. The discussion is extremely economisty. Not even mentioned that people vary a lot in their job preferences for job types which is linked to the wages of these jobs. This creates a lot of noise for the […]

Here’s a collection of previously unused datasets (by hereditarians) that are useful. Australia: 45 and Up. Huge, n=250k, medical dataset that has country of origin and many socioeconomic indicators. Costs a lot of money to obtain access. United States: Mean income from census Children of Immigrants Longitudinal Study (CILS) United Kingdom: Prison population by nationality […]

Following the publication of another gender pay gap article, I wondered: What kinds of gender gaps do people think are important to talk about? Googling stuff is a crude measure of just this. The results: “gender wage gap” 448,000 “gender pay gap” 462,000 “gender income gap”, 14,000 “gender wealth gap” 4,340 vs. “gender lifespan gap” […]

In a not so well written paper (that we should update to be better presented), John Fuerst and I previously used two hypotheses using the National Longitudinal Survey of Freshman dataset: Spatial transferability: when people move, they tend to keep their psychological traits and culture. Generational transferability: when people have children, their children tend to […]

Some people claim that the climate has direct causal influences on income, cognitive ability and so on. Usually, these academics just regress IQ on climate variables at the country or US state-level. However, it is possible to do it at the US county-level too. Unfortunately, it is difficult to find climate data by the county. […]

I am doing an S factor study of US counties in the usual way. For that reason, I need some kind of county-level cognitive ability estimate. I know that this is possible to create using the Add Health database, but that the data are not sharable. However, it may be possible to do some tricks, […]

I forgot to post this blog post at the time of publication as I usually do. However, here it is. As explored in some previous posts, John Fuerst and I have spent about 1.25 years (!) producing a massive article: published version runs 119 pages; 25k words without the references; 159k characters incl. spaces. We […]

This is actually an older post, but by accident I posted it on the Danish language sister blog. @KirkegaardEmil Really? — JayMan (@JayMan471) September 4, 2015 I don’t know what study that is, however, I do have numbers for the performance of Yugoslavians in Denmark and Norway. There are both numbers for persons from […]

Comment on: First, skim this paper:… Genomic prediction works fairly well. This recent paper does a cross-data cross-method analysis of genomic prediction methods using 10 fold cross-validation to account for overfitting. In general, the compressed sensing/lasso/regularization methods perform well, but surprisingly an even simpler method comes out on top (mRMR): Maximum Relevancy Minimum […]