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PROBABILITY: How a 250-Year-Old Theorem Still Explains the World

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Manage episode 429473347 series 2557376
Kandungan disediakan oleh Next Big Idea Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Next Big Idea Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Back in the 1700s, in a spa town outside of London, Thomas Bayes, a Presbyterian minister and amateur mathematician, invented a formula that lets you figure out how likely something is to happen based on what you already know. It changed the world. Today, pollsters use it to forecast election results and bookies to predict Super Bowl scores. For neuroscientists, it explains how our brains work; for computer scientists, it's the principle behind artificial intelligence.

In this episode, we explore the modern-day applications of this game-changing theorem with the help of Tom Chivers, author of the new book "Everything Is Predictable: How Bayesian Statistics Explain Our World."

🎙️ Follow The Next Big Idea Daily on Apple Podcasts or Spotify

🎁 Get 20% off a Next Big Idea Club membership when you use code PODCAST at nextbigideaclub.com

  continue reading

379 episod

Artwork
iconKongsi
 
Manage episode 429473347 series 2557376
Kandungan disediakan oleh Next Big Idea Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Next Big Idea Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Back in the 1700s, in a spa town outside of London, Thomas Bayes, a Presbyterian minister and amateur mathematician, invented a formula that lets you figure out how likely something is to happen based on what you already know. It changed the world. Today, pollsters use it to forecast election results and bookies to predict Super Bowl scores. For neuroscientists, it explains how our brains work; for computer scientists, it's the principle behind artificial intelligence.

In this episode, we explore the modern-day applications of this game-changing theorem with the help of Tom Chivers, author of the new book "Everything Is Predictable: How Bayesian Statistics Explain Our World."

🎙️ Follow The Next Big Idea Daily on Apple Podcasts or Spotify

🎁 Get 20% off a Next Big Idea Club membership when you use code PODCAST at nextbigideaclub.com

  continue reading

379 episod

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