Jonathan Mummolo
1.7K posts

Jonathan Mummolo
@jonmummolo
Political scientist @Princeton researching policing, American politics, discrimination, stats. Former reporter @washingtonpost. https://t.co/2DnFqk0sa8







Our key finding: decisions are perceived as harder than logistics. Our measures reveal that citizens perceive deciding who to support as more difficult than registering to vote, casting a ballot in person, waiting in line 10 minutes, updating registration after moving, or showing ID to vote.






Ok so like….i say this as someone who used to be an academic and believes, still, in the value of academic research and writing: why do we need 1,000 academic papers produced at record speed?




Last weekend I posted that Claude Code created a full empirical polisci study in an hour. A lot of people asked: but how accurate was the study? The answer: quite accurate, with some interesting mistakes and important limitations. To get the answer, Graham Straus kindly offered to do an independent, manual audit—collecting the same data and extending the paper like Claude did, but without using any AI. Here’s what he found: Claude replicated the original paper exactly, coded 29/30 CA counties correctly on treatment timing, and collected election data that correlated >.999 with manual collection. The three main errors Graham found—mis-coding one county’s treatment year, omitting data collection for several potentially relevant races in always-treated states, and not using non-presidential elections to compute turnout—are similar to the kinds of mistakes a human might make on a first pass at writing this paper, and had only small effects on the subsequent estimates. On the other hand, when Claude tried to create new analyses that weren’t straightforward extensions of the original paper, it did worse. No hallucinations or crazy errors, per se, but it drifted from the prompt and produced results we found to be poorly conceived. My read: –AI today is already an extremely powerful way to rapidly update and extend well-contained, simple empirical papers. –To do empirical social science research well, it absolutely needs guidance and oversight from human experts. We’ll be sharing broader thoughts on this work, what we learned by doing it, and where we go from here next week on my blog. Thank you to the many, many people who reached out, asked questions, and offered feedback on this project.

I too have noticed that, when you replace words with other words that have different meanings, peoples' reactions often change.






Large language models can answer surveys and pass the tests to check that a respondent is human economist.com/united-states/…









My new paper in @The_JOP shows that arbitrary changes in how leaders talk about diversity in government affects perceptions of governance (joint w/ @jonmummolo and Madeleine Marr). Women remain underrepresented in the bureaucracy, but rhetoric emphasizing even a small share of women bureaucrats can still impart the impression of substantive representation. E.g. stating that 20% of an agency's jobs are held by women (rather than 80% held by men) boosts perceptions that the agency is looking after women’s interests. journals.uchicago.edu/doi/10.1086/73…
