Scott’s Mixtape is dedicated to teaching causal inference, econometrics, and applied empirical research with a focus on how AI agents are transforming how researchers work. Practical tutorials, live research, and documentation of what works and doesn’t.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 828 | Founded | 6 years ago | Last Issue | 3 days ago |
| Active | |||||
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causalinf.substack.comLatest Issues
Where and how will the human be in the loop?
This paper came across my desk today. It’s by two authors from Hugging Face — Margarett Mitchell and Avijit Ghosh — and Samir Passi from Data & Society. I think it is a very important paper that if you are reading this substack, you should...
Which covariates? When to include them?
I mentioned the other day that I have been building a harness for causal inference. Harness is probably not the most accurate word because what I mean by it is a GUI-like structure that will allow me to undertake guided semi-autonomous empi...
Some thoughts about AI in practice
Sorry I haven’t updated lately. I am unusually busy even for me. I went to Arkansas last week to give a talk, I’m going to Boston this weekend to be in the office at Kennedy, I am in Syracuse next week to give a talk, and then I’m in Milan...
Remix release day
Well today is it.
Well today is it. Today is the day I start classes at Baylor, after being gone a year to Harvard, and today is also the day that my new book Causal Inference: the Remix, comes out in the United States.
How and why I am using hooks (part 1)
Don’t edit raw data
I am, as readers know, enthusiastically using agents for empirical research. And probably you’ve noticed over the last several months low key frustration at the same time. A feeling that something is not quite right, bu...
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Authors
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Economist and Professor at Baylor University, author of Causal Inference: the Mixtape.
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