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The History of Revolutionary Ideas: The Bayesian Revolution w/David Spiegelhalter

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Manage episode 471634101 series 3469425
Content provided by D&HR Media Ltd and David Runciman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by D&HR Media Ltd and David Runciman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Today’s revolutionary idea is something a bit different: David talks to statistician David Spiegelhalter about how an eighteenth-century theory of probability emerged from relative obscurity in the twentieth century to reconfigure our understanding of the relationship between past, present and future. What was Thomas Bayes’s original idea about doing probability in reverse: from effect to cause? What happened when this way of thinking passed through the vortex of the French Revolution? How has it come to lie behind recent innovations in political polling, AI, self-driving cars, medical research and so much more? Why does it remain controversial to this day?

The latest edition of our free fortnightly newsletter is available: to get it in your inbox sign up now https://www.ppfideas.com/newsletter

Next time: 1848: The Liberal Revolution w/Chris Clark

Past Present Future is part of the Airwave Podcast Network

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

199 episodes

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iconShare
 
Manage episode 471634101 series 3469425
Content provided by D&HR Media Ltd and David Runciman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by D&HR Media Ltd and David Runciman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Today’s revolutionary idea is something a bit different: David talks to statistician David Spiegelhalter about how an eighteenth-century theory of probability emerged from relative obscurity in the twentieth century to reconfigure our understanding of the relationship between past, present and future. What was Thomas Bayes’s original idea about doing probability in reverse: from effect to cause? What happened when this way of thinking passed through the vortex of the French Revolution? How has it come to lie behind recent innovations in political polling, AI, self-driving cars, medical research and so much more? Why does it remain controversial to this day?

The latest edition of our free fortnightly newsletter is available: to get it in your inbox sign up now https://www.ppfideas.com/newsletter

Next time: 1848: The Liberal Revolution w/Chris Clark

Past Present Future is part of the Airwave Podcast Network

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

199 episodes

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