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PODCAST · science

Decoding Causality

by Amir Rafe

Welcome to Decoding Causality, where conversations unravel the mysteries of cause and effect. Inspired by the ideas explored in The Book of Why, this podcast delves into the fascinating world of causal reasoning, counterfactuals, and the science of asking ‘why.’ Each episode breaks down complex concepts into accessible and thought-provoking insights. Perfect for researchers, students, and curious minds, this podcast offers a fresh take on decision-making and discovery.

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Episodes

  1. Closing the Loop: What We Learned About Causality

    Season 1 - Extra: Wrap-up of The Book of Why Welcome back to the Decoding Causality podcast after a long hiatus! As Season 1 comes to a close, we are wrapping up our journey by summarizing the entirety of The Book of Why. In this episode, we explore the convergence of big data, artificial...

  2. S1E10. Can AI Ask Why? The Final Frontier of Causal Reasoning

    Season 1: The Book of Why As Season 1 comes to a close, we explore the convergence of big data, artificial intelligence, and the age-old question of “why.” While machines have become astonishingly good at pattern recognition, they still struggle with the essence of human understanding: causal...

  3. S1E09. Tracing the Invisible: How Causes Travel Through the World

    Season 1: The Book of Why What lies between cause and effect? In this episode, we delve into the concept of mediation, the hidden pathways that connect actions to outcomes. From James Lind’s battle with scurvy to groundbreaking diagrams in intelligence research, we explore how scientists uncover...

  4. S1E08. Imagining the Impossible: How Counterfactuals Shape Our World

    Season 1: The Book of Why What if Cleopatra’s nose had been shorter? What if Joe had taken the aspirin? In this episode, we climb to the top rung of the Ladder of Causation and explore the fascinating world of counterfactuals, alternate realities that help us understand what is and what could…

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  5. S1E07. Climbing the Causal Mountain: How to Predict the Impact of Interventions

    Season 1: The Book of Why Understanding what happens when we take action—rather than just observe—is at the heart of causal reasoning. In this episode, we ascend to the second rung of the Ladder of Causation: intervention. How can we predict the effects of a new drug, a change in policy, or even…

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  6. S1E06. The Paradox Problem: When Data Misleads Our Intuition

    Season 1: The Book of Why Sometimes, the numbers lie—or at least, they seem to. In this episode, we dive into some of the most famous paradoxes in statistics and probability, from Simpson’s paradox to the Monty Hall problem. These puzzles reveal the hidden tensions between correlation and...

  7. S1E05. Breaking the Illusion: How to Prove Causation Without Experiments

    Season 1: The Book of Why How can we prove that one thing causes another when experiments are impossible or unethical? In this episode, we explore the challenge of establishing causation using observational data and statistical reasoning. From historical scientific debates to modern…

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  8. S1E04. Untangling the Web: How to Overcome Hidden Bias in Data

    Season 1: The Book of Why Not all correlations are what they seem. Hidden biases, lurking variables, and confounding factors can distort our understanding of cause and effect—leading to flawed conclusions in science, medicine, and everyday decision-making. In this episode, we uncover the…

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  9. S1E03. The Detective’s Dilemma: How We Infer Causes from Evidence

    Season 1: The Book of Why What do Sherlock Holmes and artificial intelligence have in common? Both rely on evidence to reach conclusions, but only one truly understands why things happen. In this episode, we dive into the logic of inference, exploring how the Reverend Thomas Bayes and the...

  10. S1E02. The Causality Quest: From Superstition to Science

    Season 1: The Book of WhyFor centuries, humanity relied on intuition, folklore, and trial and error to understand the world. But how did we transition from anecdotal reasoning to the rigorous science of causal inference? In this episode, we uncover the historical breakthroughs that laid the...

  11. S1E01. From Data to Discovery: How We Learned to Ask Why

    Season 1: The Book of Why What separates humans from other species, and from today’s AI systems, is not just the ability to observe patterns but the power to ask why. In this episode, we explore the profound shift that enabled humanity to move beyond mere data collection to uncovering the hidden...

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ABOUT THIS SHOW

Welcome to Decoding Causality, where conversations unravel the mysteries of cause and effect. Inspired by the ideas explored in The Book of Why, this podcast delves into the fascinating world of causal reasoning, counterfactuals, and the science of asking ‘why.’ Each episode breaks down complex concepts into accessible and thought-provoking insights. Perfect for researchers, students, and curious minds, this podcast offers a fresh take on decision-making and discovery.

HOSTED BY

Amir Rafe

CATEGORIES

Frequently Asked Questions

How many episodes does Decoding Causality have?

Decoding Causality currently has 11 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is Decoding Causality about?

Welcome to Decoding Causality, where conversations unravel the mysteries of cause and effect. Inspired by the ideas explored in The Book of Why, this podcast delves into the fascinating world of causal reasoning, counterfactuals, and the science of asking ‘why.’ Each episode breaks down complex...

How often does Decoding Causality release new episodes?

Decoding Causality has 11 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to Decoding Causality?

You can listen to Decoding Causality on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts Decoding Causality?

Decoding Causality is created and hosted by Amir Rafe.
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