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causality
Explore "causality" with insightful episodes like "Why Reality, Space & Time Is An Illusion! - Evidence We're Living In A Simulation | Donald Hoffman", "#282 — Do You Really Have a Self?", "196 | Judea Pearl on Cause and Effect", "Research Methods - Types of experiment" and "Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI" from podcasts like ""Impact Theory with Tom Bilyeu", "Making Sense with Sam Harris", "Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas", "AQA A-Level Psychology" and "Lex Fridman Podcast"" and more!
Episodes (7)
#282 — Do You Really Have a Self?
Sam Harris speaks with Jay Garfield about the illusion of the self. They discuss the default sense of subjectivity, the difference between absolute and conventional truth, interdependence, free will, subject-object duality, emptiness, the “mind-only” school of Buddhism, scientific realism and experiential anti-realism, and other topics.
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Learning how to train your mind is the single greatest investment you can make in life. That’s why Sam Harris created the Waking Up app. From rational mindfulness practice to lessons on some of life’s most important topics, join Sam as he demystifies the practice of meditation and explores the theory behind it.
196 | Judea Pearl on Cause and Effect
To say that event A causes event B is to not only make a claim about our actual world, but about other possible worlds — in worlds where A didn’t happen but everything else was the same, B would not have happened. This leads to an obvious difficulty if we want to infer causes from sets of data — we generally only have data about the actual world. Happily, there are ways around this difficulty, and the study of causal relations is of central importance in modern social science and artificial intelligence research. Judea Pearl has been the leader of the “causal revolution,” and we talk about what that means and what questions remain unanswered.
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Judea Pearl received a Ph.D. in electrical engineering from the Polytechnic Institute of Brooklyn. He is currently a professor of computer science and statistics and director of the Cognitive Systems Laboratory at UCLA. He is a founding editor of the Journal of Causal Inference. Among his awards are the Lakatos Award in the philosophy of science, The Allen Newell Award from the Association for Computing Machinery, the Benjamin Franklin Medal, the Rumelhart Prize from the Cognitive Science Society, the ACM Turing Award, and the Grenander Prize from the American Mathematical Society. He is the co-author (with Dana MacKenzie) of The Book of Why: The New Science of Cause and Effect.
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