Are Americans really polarized along party lines? Today, we discuss a new paper from our co-host Anthony Fowler, about one of the most common tools researchers use to measure public opinion: simple yes-or-no survey questions.

Most political surveys ask people to choose between two options—support or oppose, yes or no. But Fowler’s research shows that these binary questions can hide important nuance in how people actually think about policy. When researchers analyze these responses, it can make voters appear more polarized—or more ideologically inconsistent—than they really are.

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Is academic dishonesty connected to political power in China? That question is explored in a new paper from Shaoda Wang, Assistant Professor at the University of Chicago Harris School of Public Policy. Wang and his co-authors explore how plagiarism detection in graduate dissertations is connected to patterns of cheating in career paths and institutional behavior. What lessons might this hold for politics, meritocracy, and institutional performance elsewhere?

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In this episode, we sit down with Stanford political scientist Andy Hall and PhD candidate Graham Straus to unpack their new paper, “How Accurately Did Claude Code Replicate and Extend a Published Political Science Paper?” — an empirical audit of what happens when an AI agent is asked to replicate and extend a real research project.

Last January, Andy asked Claude Code to generate an extension of an existing empirical political science paper in under an hour. The results were surprising: Claude correctly replicated the original estimates exactly and collected new data with very high accuracy. But did Claude make mistakes? Straus independently audited Claude’s work to see how accurate, reliable, and scientifically sound it really was.

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