Interviews with Anthropologists about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology
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#352 - Our Bayesian Priors: A Dialogue with Tom Chivers
Manage episode 424592213 series 2820214
Contenu fourni par Converging Dialogues. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Converging Dialogues ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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
379 episodes
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Manage episode 424592213 series 2820214
Contenu fourni par Converging Dialogues. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Converging Dialogues ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.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
379 episodes
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Interviews with Anthropologists about their New Books Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology
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continue reading
This Anthro Life is the premiere go-to Anthropology Podcast that fuses human insights with cultural storytelling. We equip you with a deep understanding of the human experience to revolutionize your decision-making strategies and social impact. Head over to https://www.thisanthrolife.org to learn more. Spearheaded by acclaimed Anthropologist Dr. Adam Gamwell, This Anthro Life equips leaders, individuals, and organizations to shape a more compassionate future. We aim to broaden perspectives a ...
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DNA science. Artificial intelligence. Smartphones and 3D printers. Science and technology have transformed the world we live in. But how did we get here? It wasn’t by accident. Well, sometimes it was. It was also the result of hard work, teamwork, and competition. And incredibly surprising moments. Hosted by bestselling author Steven Johnson (“How We Got To Now”), American Innovations uses immersive scenes to tell the stories of the scientists, engineers, and ordinary people behind the great ...
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continue reading
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