148 | Henry Farrell on Democracy as a Problem-Solving Mechanism

148 | Henry Farrell on Democracy as a Problem-Solving Mechanism

Democracy posits the radical idea that political power and legitimacy should ultimately be found in all of the people, rather than a small group of experts or for that matter arbitrarily-chosen hereditary dynasties. Nevertheless, a good case can be made that the bottom-up and experimental nature of democracy actually makes for better problem-solving in the political arena than other systems. Political theorist Henry Farrell (in collaboration with statistician Cosma Shalizi) has made exactly that case. We discuss the general idea of solving social problems, and compare different kinds of macro-institutions — markets, hierarchies, and democracies — to ask whether democracies aren't merely politically just, but also an efficient way of generating good ideas.

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Henry Farrell received his Ph.D. in Government from Georgetown University. He is currently the Stavros Niarchos Foundation Agora Institute Professor of International Affairs at the Johns Hopkins School of Advanced International Studies. He was the 2019 recipient of the Friedrich Schiedel Prize for Politics & Technology. He is a member of the Council on Foreign Relations and co-leader of the Moral Economy of Technology initiative at Stanford University. He is a co-founder of Crooked Timber blog, as well as the Monkey Cage blog at the Washington Post.


Avsnitt(415)

Holiday Message 2025 | The Romance of the University

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AMA | December 2025

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338 | Ryan Patterson on the Physics of Neutrinos

338 | Ryan Patterson on the Physics of Neutrinos

The story goes that Wolfgang Pauli, who first proposed the existence of neutrinos, was embarrassed to have done so, as it was considered uncouth to hypothesize new particles that could not be detected...

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337 | Kevin Zollman on Game Theory, Signals, and Meaning

337 | Kevin Zollman on Game Theory, Signals, and Meaning

Game theory is a way of quantitatively describing what happens any time one thing interacts with another thing, when both things have goals and potential rewards. That's a pretty broad class of intere...

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336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI

336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI

Machine learning using neural networks has led to a remarkable leap forward in artificial intelligence, and the technological and social ramifications have been discussed at great length. To understan...

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AMA | November 2025

AMA | November 2025

Welcome to the November 2025 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). We take questions asked by Pa...

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335 | Andrew Jaffe on Models, Probability, and the Universe

335 | Andrew Jaffe on Models, Probability, and the Universe

Science has an incredibly impressive track record of uncovering nonintuitive ideas about the universe that turn out to be surprisingly accurate. It can be tempting to think of scientific discoveries a...

10 Nov 20251h 17min

334 | Daniel Whiteson on the Physics of and by Aliens

334 | Daniel Whiteson on the Physics of and by Aliens

The universe as revealed by physics is objective: it's out there, existing and behaving in ways that are completely independent of human thought. But the process by which we learn about the universe, ...

3 Nov 20251h 14min

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