
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 | 820 | Founded | 5 years ago | Last Issue | 3 days ago |
| Active | |||||

Six months ago, it was both original and true to say that AI agents were capable of autonomously, start to finish, producing a manuscript of contemporary quantitative empirical research. Many of us had either done it ourselves or seen it do...
On Monday night I attended Olivia Dean’s concert at the Garden in Boston. Me and my friend had floor seats, and once the stadium was nearly full, I remarked to them that I couldn’t remember the last time being in such a place where I was so...
I teach history of economic thought at Baylor every year. I asked to have it handed down to me because of this strong desire I have towards community and story. My connection to community and story is deeply rooted in some combination of my...
My preference for teaching new concepts in statistics and causal inference to people is like this.
Discuss history of thought
Lead with narrative
Show numerical examples
Maybe something then interactive like a vid...
Paul Goldsmith-Pinkham posted on his substack feed the other day a link to this interesting blog post by Geoffrey Litt called “Understanding is the new bottleneck”.
Paul Goldsmith-Pinkham posted on his substack feed the other day a link to...
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The writers behind this newsletter.
Economist and Professor at Baylor University, author of Causal Inference: the Mixtape.
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