OKCupid dataset (not public right now, contact me if you want the password). Draft paper: osf.io/p9ixw/ I looked at whether there was evidence for cognitive dysgenics in the OKCupid dataset. The unrepresentativeness of the dataset is not much of a problem here: indeed we are very much interested in younger people looking to date since […]

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. […]

In the interest of publishing null findings: I tried estimating US state IQs from the mean cognitive ability for users in the OKCupid dataset. However, this did not work out. This was a far shot to begin with due to massive self-selection and somewhat non-random sampling. Actually, what I really wanted was another way to […]

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 […]

Non-Shared Environment Doesn’t Just Mean Schools And Peers Scott Alexander has a new post out summarizing the interpretations of what constitutes non-shared environment in the ACE model estimates from standard (MZ-DZ) twin studies. I’m happy that he wrote that up because I had been thinking of writing up the same points, but he is a […]

Medical researchers have noticed that some diseases differ by SIRE (self-identified race/ethnicity) groups which differ by genomic (racial) ancestry. Hence, when genomic measures became available (last 15 years or so), they measured peoples relative proportions of ancestry in mixed populations to see if the diseases would be predictable by ancestry. They were. This establishes with […]

Comment on: infoproc.blogspot.dk/2016/02/missing-heritability-and-gcta-update-on.html First, skim this paper: journals.plos.org/ploso… 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 […]

Link: www.gwern.net/Embryo%20selection Embryo selection an add-on to IVF [his summary]: harvest x eggs fertilize them and create x embryos culture the embryos to either cleavage (2-4 days) or blastocyst (5-6 days) stage; of them, y will still be alive & not grossly abnormal freeze the embryos optional: embryo selection using quality and PGS unfreeze & […]

Paper is on Scihub. There are a few researchers engaged in the cognitive sociology adventure. Aside from myself and John Fuerst, Noah Carl has also taken up the task. There is of course also Richard Lynn, the grand old man of these studies (publishing his first in 1979). Mostly the job of doing these analyses […]