While I am re-writing our PING study to become a substantial target article, John is sending it to various journals in the mean time to poke about their editorial biases. Here’s a recent reply, which was thankfully quite up front about the bias: From: Frontiers <noreply@frontiersin.org> Sent: Monday, September 25, 2017 5:05 PM To: j122177@hotmail.com […]

Using the crude measures of literacy and numeracy discussed in a previous post, it is possible to quantify the cognitive ability gap for US Black-White in the 1800s. The data come from: A’Hearn, B., Baten, J., & Crayen, D. (2009). Quantifying quantitative literacy: Age heaping and the history of human capital. The Journal of Economic […]

These are the Google Translated versions of the original French. We are trying to obtain regional data for Belgian communes to use for our study, as well as nationality or group level data for general interest. You can see the preliminary analyses here. Needless to say, it is hard to find out what is actually […]

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 […]

Since this one is well-covered already, I don’t need to add much. See e.g.: Nintil: Why so few women in CS: the Google memo is fundamentally right Slatestarcodex: Contra Grant On Exaggerated Differences Lee Jussim, David P Schmitt, Geoffrey Miller, Debra W Soh’s writings Math ability and sex Because lots of people keep claiming there […]

Richard Herrnstein, (1971), IQ, The Atlantic Had been looking for this one for years. Gwern managed to find it. I’ll host a mirror here. Perhaps the most interesting thing about the article is the introduction written by the editors. It ends thus: The Jensen report (as this article has come to be miscalled} dealt with […]

It could probably have been resolved decades ago, and definitely within the last 10 years with genomic data, yet it is still not. Why? Essentially, it’s because of bias in academia. It begins early: data access, then there’s authors’ own publication bias, then finally editorial and reviewing bias (all caused by lack of political/belief diversity […]

Given enough motivation, QRPs, biased reviewing and time, one can build an entire literature of studies proving anything. There’s plenty of all of these to prove left-wing ideological beliefs (and libertarian in economics). However, it is much harder to QRP large N datasets to give preferred results. So, what do large scale studies show about […]

In the SSC subreddit, someone reposted that data showing the strong race bias in the admission process for medicine. I reposted it on Twitter with some snark, to the usual effect: How racism looks like. I recommend keeping this in mind when you choose a doctor. t.co/0RzYyaT1gq pic.twitter.com/ftVX5uvMDg — Emil OW Kirkegaard (@KirkegaardEmil) June 23, […]