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#352 - Our Bayesian Priors: A Dialogue with Tom Chivers

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Manage episode 424592213 series 2820214
Content provided by Converging Dialogues. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Converging Dialogues 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://player.fm/legal.

In this episode, Xavier Bonilla has a dialogue with Tom Chivers about Bayesian probability and the impact Bayesian priors have on ourselves. They define Bayesian priors, Thomas Bayes, subjective aspects of Bayes theorem, and the problematic elements of statistical figures such as Galton, Pearson, and Fisher. They talk about the replication crisis, p-hacking, where priors come from, AI, Friston’s free energy principle, and Bayesian priors in our world today.

Tom Chivers is a science writer. He does freelance science writing and also writes for Semafor.com’s daily Flagship email. Before joining Semafor, he was a science editor at UnHerd, science writer for BuzzFeed UK, and features writer for the Telegraph. He is the author of several books including the most recent, Everything Is Predictable: How Bayesian Statistics Explain Our World.

Website: https://tomchivers.com/


Get full access to Converging Dialogues at convergingdialogues.substack.com/subscribe
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354 episodes

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iconShare
 
Manage episode 424592213 series 2820214
Content provided by Converging Dialogues. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Converging Dialogues 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://player.fm/legal.

In this episode, Xavier Bonilla has a dialogue with Tom Chivers about Bayesian probability and the impact Bayesian priors have on ourselves. They define Bayesian priors, Thomas Bayes, subjective aspects of Bayes theorem, and the problematic elements of statistical figures such as Galton, Pearson, and Fisher. They talk about the replication crisis, p-hacking, where priors come from, AI, Friston’s free energy principle, and Bayesian priors in our world today.

Tom Chivers is a science writer. He does freelance science writing and also writes for Semafor.com’s daily Flagship email. Before joining Semafor, he was a science editor at UnHerd, science writer for BuzzFeed UK, and features writer for the Telegraph. He is the author of several books including the most recent, Everything Is Predictable: How Bayesian Statistics Explain Our World.

Website: https://tomchivers.com/


Get full access to Converging Dialogues at convergingdialogues.substack.com/subscribe
  continue reading

354 episodes

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