New paper out: book review of Lynn and Becker’s The Intelligence of Nations (2019)

Kirkegaard, E. O. W. (2019). Solid numbers, missed opportunities: Review of The intelligence of nations. Evolutionary Behavioral Sciences. doi.org/10.1037/ebs0000181 ResearchGate I was asked to review this new book written by David Becker and Richard Lynn. It’s the long work in progress that James Thompson has blogged about on numerous occasions. This book presents the latest…

Continue Reading

Review: Cognitive Capitalism (Heiner Rindermann)

Rindermann, H. (2018). Cognitive capitalism: human capital and the wellbeing of nations. Cambridge, United Kingdom ; New York, NY: University Printing House. Heiner was kind enough to send me a reviewer’s (paper) copy. Unfortunately, I lack the time to write up a formal book review, and so this blogpost will have to do. James Thompson already…

Continue Reading

Review: The Censor’s Hand (Carl E. Schneider)

Schneider, C. (2015). The censor’s hand: the misregulation of human-subject research. Cambridge, Massachusetts: The MIT Press. Medical and social progress depend on research with human subjects. When that research is done in institutions getting federal money, it is regulated (often minutely) by federally required and supervised bureaucracies called “institutional review boards” (IRBs). Do–can–these IRBs do…

Continue Reading

Austrian economics: worse than expected — Review of Democracy, the God that failed (Hoppe)

After reading a book defending limitations to free trade/protectionism, it was time for something completely different. So I looked around after any current, well-regarded (in their circles) Austrian libertarian economist. Because I know many ancap people, I just picked one of those they often mentioned: Hans-Hermann Hoppe. Looking over his Wikipedia profile, you’d probably get the general…

Continue Reading

Regression Modeling Strategies (2nd ed.) – Frank Harrell (review)

www.goodreads.com/book/show/10753824-regression-modeling-strategies I heard some good things about this book, and some of it is good. Surely, the general approach outlined in the introduction is pretty sound. He sets up the following principles: Satisfaction of model assumptions improves precision and increases statistical power. It is more productive to make a model fit step by step (e.g.,…

Continue Reading

The neuroscience of intelligence: very preliminary because of power failure and lack of multivariate studies

I don’t have time to provide extensive citations for this post, so some things are cited from memory. You should be able to locate the relevant literature, but otherwise just ask. Haier, R. J. (2016). The Neuroscience of Intelligence (1 edition). New York, NY: Cambridge University Press. Because I’m writing a neuroscience-related paper or two,…

Continue Reading