Follow and learn

Quantitude

This is a must listen! The Quantitude podcast co-hosted and masterfully produced by Patrick Curran (UNC@CH) and Greg Hancock (UMD) is proof that great comedy can also be done sitting down and despite mastering only a bad pirate accent and being of Transylvanian lineage (😎). And it’s about quantitative methods and academia. The dudes are seriously flawed, though; they’re likelihoodists who get a kick out of calling up Bayesians at 5:40 in the morning asking them to explain themselves.

Recent pods

Andrew Gelman et al.

You know this one. Running since 2004, the Statistical Modeling, Causal Inference, and Social Science blog coordinated by statistician and political scientist Andrew Gelman (Columbia) - but also contributed to by an increasing number of his collaborators - functions like a statistics consultancy desk for the world. Andrew is probably the most influential voice for pragmatic Bayesianism in the social sciences, and a prolific textbook author who has gifted treasures to quantitative educators worldwide.

Recent posts

Richard McElreath

Richard is best known outside the field of evolutionary anthropology for his foundational Bayesian textbook Statistical Rethinking and related YouTube course lectures. Currently directing a Max Planck Institute in Leipzig, his blog Elements of Evolutionary Anthropology is not extremely active, but it makes up for that with the quality of the thoughts conveyed in each post.

Recent posts

Andrew Heiss

Andrew Heiss is a political scientist and public policy researcher at GSU. He has the strongest explicit commitment to making all aspects of his work open and transparent that you’ll find anywhere on the internet today. His blog dives deeply into various technical aspects of social science programming and it’s a wonderful resource for learning about coding in R.

Recent posts

Learning Bayesian Statistics

Hosted by Alexandre Andorra, a Bayesian modeller at PyMC Labs, the Learning Bayesian Statistics podcast focuses on long-form conversations with various people who have contributed to Bayesian modelling in various academic fields and industries. Some recent episodes have a hybrid workshop format with a videocast available on the series’ YouTube channel.

Recent pods

Data Is Plural

Data Is Plural is a long-running newsletter curated by Jeremy Singer-Vine, currently a data editor for the New York Times (previously at BuzzFeed, The Wall Street Journal and Slate). It’s a good idea to subscribe to the newsletter to receive a list of interesting and useful publicly available datasets every once in a while, which are also added to a Google Docs spreadsheet containing all the datasets listed in past editions of the newsletter. It also has an associated podcast, although that has been quiet recently.

Recent newsletters

Frank Harrell

Frank Harrell is Professor of Biostatistics at Vanderbilt University and is known in the R community for his popular R packages. His blog Statistical Thinking has been going since 2017 and contains very useful posts on various statistical tests and models implemented in R.

Recent posts

Danielle Navarro

I first encountered Danielle’s work as the author of a very lucid online textbook on Learning Statistics with R from back when she was a lecturer in quantitative psychology at the University of Adelaide. She has since moved into industry and has developed many cool interests in computational methods (including generative art). Her data science blog Notes from a data witch is a treasure trove.

Recent posts

Kieran Healy

Fellow sociologist Kieran Healy (Duke) is a prolific author on both substantive and technical topics. He has written on almost everything from organ procurement, through the institutionalization of mass shootings as a ritual of American childhood, to the problems of digital capitalism. His Plain Person’s Guide to Plain Text Social Science has been a terrific resource for those transitioning to computationally reproducible research workflows, and he is best known in the R social science community for his book on Data Visualization. His blog is just as diverse and interesting.

Recent posts