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Decoding Causality
Amir Rafe
10 episodes
1 week ago
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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Science
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All content for Decoding Causality is the property of Amir Rafe and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Science
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S1E08. Imagining the Impossible: How Counterfactuals Shape Our World
Decoding Causality
16 minutes 12 seconds
7 months ago
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 have been. We’ll examine how imagining different scenarios is more than philosophical musing, it's central to assigning blame, making predictions, and defining responsibility. From climate change attribution to legal causation, we uncover how counterfactual reasoning powers everything from scientific discovery to everyday decision-making.

We also compare two powerful approaches to counterfactuals: the structural causal models that give us a precise computational framework, and the potential outcomes model rooted in statistics. What makes one more effective than the other? And how can machines learn to think in “what ifs” the way humans do?

🔍 Stay Connected

📧 Email: ⁠⁠amir.rafe@usu.edu⁠⁠

🌐 Website: ⁠⁠https://pozapas.github.io/⁠⁠

🔗 LinkedIn: ⁠⁠https://www.linkedin.com/in/amir-rafe-08770854/⁠⁠

🐦 X: ⁠⁠https://x.com/rafeamir⁠⁠

Decoding Causality
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.