Decoding 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 intelligence, and the age-old question of “why.” While machines have become astonishingly good at pattern rec...

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 reasoning. In this episode, we reflect on how the Causal Revolution challenged traditional statistics and...

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 the mechanisms that explain how and why effects occur. When we ask, “Does Drug B prevent heart attacks...

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 ce...

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 a personal decision if we’ve never observed it before? We explore the tools that make this possible: b...

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 causation, challenging our intuition and exposing the limitations of traditional data analysis. Why do paradox...

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 breakthroughs, we examine how researchers separate real causal relationships from misleading correlations. What meth...

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 challenge of confounding and how controlled experiments, causal diagrams, and statistical techniques help us se...

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 principles of probability laid the groundwork for reasoning from effect to cause. From medical diagnoses to fo...

Season 1: The Book of Why For 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 foundation for modern causality, from the early insights of Francis Galton to the statistical revolution th...

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 web of cause and effect. From the Garden of Eden to the Cognitive Revolution, we trace the origins of...