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    Sean Carroll’s Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas

    Ever wanted to know how music affects your brain, what quantum mechanics really is, or how black holes work? Do you wonder why you get emotional each time you see a certain movie, or how on earth video games are designed? Then you’ve come to the right place. Each week, Sean Carroll will host conversations with some of the most interesting thinkers in the world. From neuroscientists and engineers to authors and television producers, Sean and his guests talk about the biggest ideas in science, philosophy, culture and much more.

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    Copyright: © Sean Carroll 2026

    • Apple Podcasts
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    Latest Episodes:
    153 | John Preskill on Quantum Computers and What They're Good For Jun 28, 2021
    Show notes

    Depending on who you listen to, quantum computers are either the biggest technological change coming down the road or just another overhyped bubble. Today we're talking with a good person to listen to: John Preskill, one of the leaders in modern quantum information science. We talk about what a quantum computer is and promising technologies for actually building them. John emphasizes that quantum computers are tailor-made for simulating the behavior of quantum systems like molecules and materials; whether they will lead to breakthroughs in cryptography or optimization problems is less clear. Then we relate the idea of quantum information back to gravity and the emergence of spacetime. (If you want to build and run your own quantum algorithm, try the IBM Quantum Experience.)

    Support Mindscape on Patreon.

    John Preskill received his Ph.D. in physics from Harvard University. He is currently the Richard P. Feynman Professor of Theoretical Physics at Caltech and the Davis Leadership Chair at the Institute for Quantum Information and Matter, as well as an Amazon Scholar at Amazon Web Services. Before moving into quantum information, he was a leading researcher in quantum field theory and black holes. He is the winner of multiple bets with Stephen Hawking.

    • Caltech Theory Group web page
    • Caltech IQIM web page
    • Google Scholar publications
    • Blog posts at Quantum Frontiers
    • Wikipedia
    • Twitter

    152 | Charis Kubrin on Criminology, Incarceration, and Hip-Hop Jun 21, 2021
    Show notes

    It's all well and good to talk abstractly about morality and justice, but at some point you have to sit down and figure out what to do about people who break the rules. In our modern legal system, mostly that involves incarceration, especially for so-called "street crimes." Here in the US, we've taken that strategy to extremes, leading the world in the number of incarcerated people per capita. How do we decide who goes to prison, and how should we decide? I talk with criminologist Charis Kubrin on how the justice system distinguishes guilt from innocence. We discuss one interesting issue at length: the use of rap lyrics written by defendants as evidence of guilt. What role should artistic creations play in deciding someone's culpability of a crime?

    Support Mindscape on Patreon.

    Charis Kubrin received her Ph.D. from the University of Washington. She is currently a professor of Criminology and Law and Society at the University of California, Irvine. She is co-author of the textbook Introduction to Criminal Justice: a Sociological Perspective. Among her awards are the Ruth Shonie Cavan Award and the Coramae Richey Mann Award from the American Society of Criminology, and the W.E.B. DuBois Award and the Paul Tappan Award from the Western Society of Criminology.

    • Web page
    • Google Scholar publications
    • Wikipedia
    • Twitter

    151 | Jordan Ellenberg on the Mathematics of Political Boundaries Jun 14, 2021
    Show notes

    Any system in which politicians represent geographical districts with boundaries chosen by the politicians themselves is vulnerable to gerrymandering: carving up districts to increase the amount of seats that a given party is expected to win. But even fairly-drawn boundaries can end up quite complex, so how do we know that a given map is unfairly skewed? Math comes to the rescue. We can ask whether the likely outcome of a given map is very unusual within the set of all possible reasonable maps. That's a hard math problem, however — the set of all possible maps is pretty big — so we have to be clever to solve it. I talk with geometer Jordan Ellenberg about how ideas like random walks and Markov chains help us judge the fairness of political boundaries.

    Support Mindscape on Patreon.

    Jordan Ellenberg received his Ph.D. in mathematics from Harvard University in 1998. He is currently the John D. MacArthur professor of mathematics at the University of Wisconsin. He competed in the International Mathematical Olympiad three times, winning a gold medal twice. Among his awards are the MAA Euler Book Prize and a Guggenheim Fellowship. He is the author of How Not to Be Wrong and the novel The Grasshopper King. His new book is Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else.

    • Web site
    • Wisconsin web page
    • Google Scholar publications
    • Amazon author page
    • Wikipedia
    • Twitter

    AMA | June 2021 Jun 10, 2021
    Show notes

    Welcome to the June 2021 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). I take the large number of questions asked by Patreons, whittle them down to a more manageable size — based primarily on whether I have anything interesting to say about them, not whether the questions themselves are good — and sometimes group them together if they are about a similar topic. Enjoy!

    Support Mindscape on Patreon.


    150 | Simon DeDeo on How Explanations Work and Why They Sometimes Fail Jun 07, 2021
    Show notes

    You observe a phenomenon, and come up with an explanation for it. That's true for scientists, but also for literally every person. (Why won't my car start? I bet it's out of gas.) But there are literally an infinite number of possible explanations for every phenomenon we observe. How do we invent ones we think are promising, and then decide between them once invented? Simon DeDeo (in collaboration with Zachary Wojtowicz) has proposed a way to connect explanatory values ("simplicity," "fitting the data," etc) to specific mathematical expressions in Bayesian reasoning. We talk about what makes explanations good, and how they can get out of control, leading to conspiracy theories or general crackpottery, from QAnon to flat earthers.

    Support Mindscape on Patreon.

    Simon DeDeo received his Ph.D. in astrophysics from Princeton University. He is currently an Assistant Professor in Social and Decision Sciences at Carnegie Mellon University, and External Professor at the Santa Fe Institute.

    • Web site
    • Carnegie Mellon web page
    • "From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning," Wojtowicz and DeDeo
    • Axiom of Chance blog
    • Google Scholar publications

    149 | Lee Smolin on Time, Philosophy, and the Nature of Reality May 31, 2021
    Show notes

    The challenge to a theoretical physicist pushing beyond our best current theories is that there are too many ways to go. What parts of the existing paradigm do you keep, which do you discard, and why make those choices? Among today's theorists, Lee Smolin is unusually reflective about what principles should guide us in the construction of new theories. And he is happy to suggest radical revisions to well-established ideas, in areas from the nature of time to the workings of quantum mechanics. We talk about time, the universe, the role of philosophy, a new picture of spacetime, and the future of physics.

    Support Mindscape on Patreon.

    Lee Smolin received his Ph.D. in physics from Harvard University. He is currently on the faculty of the Perimeter Institute in Waterloo, Canada, where he was a founding member. Among his awards are the Majorana Prize, the Klopsteg Memorial Award, and the Buchalter Cosmology Prize. He is the author of several books, most recently Einstein's Unfinished Revolution: The Search for What Lies Beyond the Quantum.

    • Web site
    • Perimeter Institute page
    • Google Scholar publications
    • Amazon author page
    • Wikipedia

    148 | Henry Farrell on Democracy as a Problem-Solving Mechanism May 24, 2021
    Show notes

    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.

    Support Mindscape on Patreon.

    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.

    • Web site
    • Johns Hopkins web page
    • "Pursuing Cognitive Democracy," Farrell & Shalizi
    • Crooked Timber posts
    • Washington Post columns
    • Wikipedia
    • Twitter

    147 | Rachel Laudan on Cuisine, Culture, and Empire May 17, 2021
    Show notes

    For as much as people talk about food, a good case can be made that we don't give it the attention or respect it actually deserves. Food is central to human life, and how we go about the process of creating and consuming it — from agriculture to distribution to cooking to dining — touches the most mundane aspects of our daily routines as well as large-scale questions of geopolitics and culture. Rachel Laudan is a historian of science whose masterful book, Cuisine and Empire, traces the development of the major world cuisines and how they intersect with politics, religion, and war. We talk about all this, and Rachel gives her pitch for granting more respect to "middling cuisine" around the world.

    Support Mindscape on Patreon.

    Rachel Laudan received a Ph. D. in History and Philosophy of Science from University College London. She retired from academia after teaching at Carnegie-Mellon, the University of Pittsburgh, Virginia Tech, and the University of Hawaii. Among her awards are the Jane Grigson/Julia Child prize of the International Association of Culinary Professionals and the IACP Cookbook Award for Best Book in Culinary History.

    • Web site
    • Blog
    • Amazon author page
    • Wikipedia
    • Twitter

    AMA | May 2021 May 13, 2021
    Show notes

    Welcome to the May 2021 Ask Me Anything episode of Mindscape! These monthly excursions are funded by Patreon supporters (who are also the ones asking the questions). I take the large number of questions asked by Patreons, whittle them down to a more manageable size — based primarily on whether I have anything interesting to say about them, not whether the questions themselves are good — and sometimes group them together if they are about a similar topic.

    Enjoy!

    Support Mindscape on Patreon.


    146 | Emily Riehl on Topology, Categories, and the Future of Mathematics May 10, 2021
    Show notes

    "A way that math can make the world a better place is by making it a more interesting place to be a conscious being." So says mathematician Emily Riehl near the start of this episode, and it's a good summary of what's to come. Emily works in realms of topology and category theory that are far away from practical applications, or even to some non-practical areas of theoretical physics. But they help us think about what is possible and how everything fits together, and what's more interesting than that? We talk about what topology is, the specific example of homotopy — how things deform into other things — and how thinking about that leads us into groups, rings, groupoids, and ultimately to category theory, the most abstract of them all.

    Support Mindscape on Patreon.

    Emily Riehl received a Ph.D in mathematics from the University of Chicago. She is currently an associate professor of mathematics at Johns Hopkins University. Among her honors are the JHU President's Frontier Award and the Joan & Joseph Birman Research Prize. She is author of Categorical Homotopy Theory, and co-author of the upcoming Elements of ∞-Category Theory. She competed on the United States women's national Australian rules football team, where she served as vice-captain.

    • Johns Hopkins web page
    • Google Scholar publications
    • Quanta profile
    • Wikipedia
    • Twitter

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