I was working on a study and while doing so, I updated all my R packages. To my surprise, this changed the results in my analysis to a degree that it caused a change in the conclusion. I suspected it was due to an update in the psych package. The update notes read: Bug fixed […]

Back in January, Steve Hsu did an interview with Daphne Martschenko who is a phd candidate at Cambridge in education. She’s basically doing science journalism on behavioral genetics as far as I can tell. Now there’s a new interview up. I have some comments to it because Steve was a little too nice. Bias from […]

Read Gwern’s review: www.goodreads.com/review/show/1433728829 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 […]

So, I posted this: Abstract We used data from the PING study (n≈1200) to examine the relationship between cognitive ability, socioeconomic outcomes and genomic racial ancestry. We found that when genomic ancestry was not included in models, self-reported race/ethnicity (SIRE) was a useful predictor of cognitive ability/S, but when genomic ancestry was included, SIRE lost […]

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 […]


Some of the talks from ISIR 2016 in Saint Petersburg are now online. In particular, I enjoyed Detterman’s talk, but of course I think he is too pessimistic about reproductive genetics. All the talks were recorded, but only the long ones with the most famous people are published so far, so you will have to […]

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” […]