See previous post about quotes from the medical genetics and physical anthropology literature on admixture analysis and the causal interpretation. There’s quite a few older admixture studies that examined relationships between racial ancestry and intelligence. Most of these used quite crude methods such as interviewer judgement. Some used a better method, namely objectively measured skin […]

How easy is it to get provocative findings using mainstream methods published? Well, it depends on how provocative. Here’s a second round of generally nonsensical reviews for our PING paper (which you can read here and judge yourself: a good chunk of readers of this blog are themselves researchers and don’t need others to review […]

We have a new big paper out: Kirkegaard, E. O. W., & Fuerst, J. (2017). Admixture in Argentina. Mankind Quarterly, 57(4). Retrieved from mankindquarterly.org/archive/issue/57-4/4 Abstract Analyses of the relationships between cognitive ability, socioeconomic outcomes, and European ancestry were carried out at multiple levels in Argentina: individual (max. n = 5,920), district (n = 437), municipal […]

Nisbett’s 2009 book on intelligence, Intelligence and how to get it, is a goldmine of stupid claims that one can quote-mine for introduction and discussion sections of papers. For instance, Nisbett tries to argue that brain size is not causal for intelligence! He writes: The correlation between cranial capacity and IQ is probably about .30-.40 […]

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 […]

A friend of mine and his brother just received their 23andme results. In a table they look like this (I have added myself for comparison): Macrorace Bro1 Bro2 Emil European 52.6 53 99.8 MENA 42.5 41.3 0.2 South Asian 2.8 3.4 0 East Asian & Amerindian 1.1 0.7 0 Sub-Saharan African 0.5 0.5 0 Oceanian […]

UNFINISHED ANALYSIS. POSTED HERE TO ESTABLISH PRIORITY. MORE TO FOLLOW! Updated 2015-12-04 Remains to be done: Admixture analysis (doing) Proofreading and editing Deciding how to control for age and scanner (technical question) Abstract I explore a large (N≈1000), open dataset of brain measurements and find a general factor of brain size (GBSF) that covers all […]

Some time ago a new paper came out from the 23andme people reporting admixture among US ethnoracial groups (Bryc et al, 2014). Per our still on-going admixture project (current draft here), one could see if admixture predicts academic achievement (or IQ, if such were available). We (that is, John did) put together achievement data (reading […]

For those who have been living under a rock (i.e. not following my on Twitter), John Fuerst have been very good at compiling data from published research. Have a look at Human Varieties with the tag Admixture Mapping. He asked me to help him analyze it and write it up. I gladly obliged, you can […]