I’m an assistant teaching professor of Statistics & Data Science at Carnegie Mellon University. I work on statistical models to understand and predict where events occur, while also helping lead the Teaching Statistics Group study how students learn statistics and how we can teach better.
You should read my book Statistics Done Wrong, the woefully complete guide to the many ways that statistics is abused in science. Now available in print, published by No Starch Press!
You might be interested in
You can contact me at areinhar@stat.cmu.edu or find me in my office, Baker 232K.
Notebooks
I keep extensive online notebooks on random topics of interest to me. Some recent updates:
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Privacy and surveillance – April 24, 2023
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Algorithmic fairness – April 16, 2023
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Causality – December 2, 2022
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Regression – September 2, 2022
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Dimensional analysis in statistics – August 4, 2022
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Survey sampling – June 14, 2022
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Algorithmic due process – May 7, 2022
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The many-hands and many-causes problems – January 18, 2022
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Machine learning and law – January 10, 2022
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Statistical misconceptions – August 10, 2021
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…and a bunch more.
Blog
Recent posts from the refsmmat report:
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Other writing
Old projects
- ScienceForums.net, one of the world’s largest online discussion forums focused on science and science news.
- The Regressomatic, an interactive demonstration of linear regression diagnostics.
- jsphys, a Javascript-powered special relativity simulator for classroom use.
- madman, a Python-based Mad Libs generator that uses Markov chains to generate rather alarming texts. Provide a perfectly sensible text file and madman makes it less sensible.
- seuss, a Python-based poetry generator that uses Markov chains to create humorous and surprising poems.