His main research focus lies in the evolution of cultural behaviors. Expanding on his work in anthropology, he has also been researching the social dynamics of the replication crisis in science and contributing to statistical education.[8][9] His work has been covered by professional and popular media, e.g. in Nature,[10]The Economist[11]Pacific Standard,[1] and The Atlantic.[12]
Selected publications
Books
McElreath, Richard and Robert Boyd, Mathematical Models of Social Evolution: A Guide for the Perplexed. University of Chicago Press, 2007
McElreath, Richard. Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman and Hall/CRC, 2015.
Articles and chapters
Henrich, Joseph, Robert Boyd, Samuel Bowles, Colin Camerer, Ernst Fehr, Herbert Gintis, and Richard McElreath. "In search of homo economicus: behavioral experiments in 15 small-scale societies." American Economic Review 91, no. 2 (2001): 73–78.
Henrich, Joseph, Richard McElreath, Abigail Barr, Jean Ensminger, Clark Barrett, Alexander Bolyanatz, Juan Camilo Cardenas et al. "Costly punishment across human societies." Science 312, no. 5781 (2006): 1767–1770.
Henrich, Joseph, Jean Ensminger, Richard McElreath, Abigail Barr, Clark Barrett, Alexander Bolyanatz, Juan Camilo Cardenas et al. "Markets, religion, community size, and the evolution of fairness and punishment." Science 327, no. 5972 (2010): 1480–1484.
Henrich, Joseph, and Richard McElreath. "The evolution of cultural evolution." Evolutionary Anthropology: Issues, News, and Reviews: Issues, News, and Reviews 12, no. 3 (2003): 123–135.
Dawes, Christopher T., James H. Fowler, Tim Johnson, Richard McElreath, and Oleg Smirnov. "Egalitarian motives in humans." Nature 446, no. 7137 (2007): 794.
^Sweet, Tracy M. (July 27, 2017). "A Review of Statistical Rethinking: A Bayesian Course With Examples in R and Stan". Journal of Educational and Behavioral Statistics. 42 (1): 107–110. doi:10.3102/1076998616659752. ISSN1076-9986. S2CID125035918.
^Gelman, Andrew; Lee, Daniel; Guo, Jiqiang (October 1, 2015). "Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization". Journal of Educational and Behavioral Statistics. 40 (5): 530–543. doi:10.3102/1076998615606113. ISSN1076-9986. S2CID220415167.