21 | Alex Rosenberg on Naturalism, History, and Theory of Mind

21 | Alex Rosenberg on Naturalism, History, and Theory of Mind

We humans love to tell ourselves stories about why things happened the way they did; if the stories are sufficiently serious, we label this activity "history." Part of getting history right is simply an accurate recounting of the facts, but part of it is generally taken to be some kind of explanation about why. How much should we trust these explanations? This is a question with philosophical implications as well as historical ones, and philosopher Alex Rosenberg's new book How History Gets Things Wrong claims that we should basically not trust them at all. It's not that we get the facts wrong, it's that we have wrong ideas about causality and how the human mind works, and we can't help but import these wrong ideas to our beliefs about history. Alex and I dig into how this claim arises naturally from a certain way that naturalists should think about the world. Alex Rosenberg is the R. Taylor Cole Professor of Philosophy at Duke University, with secondary appointments in biology and political science. He has been a Guggenheim Fellow and winner of the Lakatos Award for the best book in the philosophy of science. Rosenberg is the author of numerous books and articles on philosophical aspects of various subjects, including biology, cognitive science, economics, history, causation, and atheism. He has also written two novels, The Girl from Krakow and Autumn in Oxford. Web site Duke home page Wikipedia page Amazon author page Interview at 3:AM Interview at What Is It Like to Be a Philosopher?

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Jaksot(426)

341 | Stewart Brand on Maintenance as an Organizing Principle

341 | Stewart Brand on Maintenance as an Organizing Principle

"Things fall apart; the centre cannot hold," wrote W.B. Yeats. I don't know about the centre, but the tendency of things to fall apart is pretty universal, ultimately due to the Second Law of Thermody...

19 Tammi 1h 12min

340 | Rebecca Newberger Goldstein on What Matters and Why It Matters

340 | Rebecca Newberger Goldstein on What Matters and Why It Matters

At any given moment, an uncountable number of events are happening, but only some of them matter to us. What does it mean for something to matter, and more importantly, what does it mean for us to mat...

12 Tammi 1h 18min

339 | Ned Block on Whether Consciousness Requires Biology

339 | Ned Block on Whether Consciousness Requires Biology

It's become increasingly clear that the Turing Test -- determining whether human interlocutors can tell whether a conversation is being carried out by a human or a machine -- is not a good way to thin...

5 Tammi 1h 11min

Holiday Message 2025 | The Romance of the University

Holiday Message 2025 | The Romance of the University

Time for the holiday message! Rounding off the year with a brief and casual reflection on some issue that doesn't quite rise to the level of a full solo podcast. And hopefully something uplifting. Thi...

22 Joulu 202542min

AMA | December 2025

AMA | December 2025

Welcome to the December 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...

15 Joulu 20253h 36min

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...

8 Joulu 20251h 26min

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...

1 Joulu 20251h 17min

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...

24 Marras 20251h 14min

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