In 'Principles: Life and Work', Ray Dalio shares the principles he has developed over his career that have helped him achieve success. The book is divided into three sections: the first section explains how Dalio's principles were formed from his personal and professional experiences; the second section outlines life principles, such as embracing reality, being radically open-minded, and understanding the importance of pain and reflection in personal growth; and the third section focuses on work principles, including the use of radical truth and radical transparency to transform an organization. Dalio advocates for systematizing decision-making into algorithms, learning from failures, and building a culture where it is okay to make mistakes but unacceptable not to learn from them.
In this book, Tetlock and Gardner present the results of the Good Judgment Project, a massive forecasting tournament that identified a small group of 'superforecasters' who are exceptionally good at predicting future events. The authors explain that good forecasting does not require powerful computers or arcane methods but involves gathering evidence from various sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. The book uses stories of forecasting successes and failures, as well as interviews with high-level decision makers, to illustrate these principles and demonstrate how anyone can improve their forecasting abilities[3][4][5].
In this book, Philip E. Tetlock evaluates the predictive abilities of experts by analyzing 27,451 verifiable predictions made by 284 world-renowned experts over more than 20 years. He finds that expert predictions are often no better than random guesses and identifies two types of thinkers: 'hedgehogs,' who are confident in their single, overarching idea, and 'foxes,' who are more eclectic and adaptable. Tetlock argues that foxes are generally more accurate in their predictions due to their ability to consider multiple perspectives and adapt to new information. The book also explores how the media often favors hedgehogs for their confident and decisive statements, despite their lower accuracy.
In this book, Tetlock and Gardner present the results of the Good Judgment Project, a massive forecasting tournament that identified a small group of 'superforecasters' who are exceptionally good at predicting future events. The authors explain that good forecasting does not require powerful computers or arcane methods but involves gathering evidence from various sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. The book uses stories of forecasting successes and failures, as well as interviews with high-level decision makers, to illustrate these principles and demonstrate how anyone can improve their forecasting abilities[3][4][5].
This book provides a detailed biography of Leo Szilárd, highlighting his contributions to nuclear physics and his role in the Manhattan Project. It explores Szilárd's life, from his early days to his involvement in the development of the atomic bomb, and his interactions with other notable figures like Albert Einstein.
Have you ever been infuriated by a doctor's unwillingness to give you an honest, probabilistic estimate about what to expect? Or a lawyer who won't tell you the chances you'll win your case?
Their behaviour is so frustrating because accurately predicting the future is central to every action we take. If we can't assess the likelihood of different outcomes we're in a complete bind, whether the decision concerns war and peace, work and study, or Black Mirror and RuPaul's Drag Race.
Which is why the research of Professor Philip Tetlock is relevant for all of us each and every day.
He has spent 40 years as a meticulous social scientist, collecting millions of predictions from tens of thousands of people, in order to figure out how good humans really are at foreseeing the future, and what habits of thought allow us to do better.
Along with other psychologists, he identified that many ordinary people are attracted to a 'folk probability' that draws just three distinctions — 'impossible', 'possible' and 'certain' — and which leads to major systemic mistakes. But with the right mindset and training we can become capable of accurately discriminating between differences as fine as 56% as against 57% likely.
• Links to learn more, summary and full transcript
• The calibration training app
• Sign up for the Civ-5 counterfactual forecasting tournament
• A review of the evidence on good forecasting practices
• Learn more about Effective Altruism Global
In the aftermath of Iraq and WMDs the US intelligence community hired him to prevent the same ever happening again, and his guide — Superforecasting: The Art and Science of Prediction — became a bestseller back in 2014.
That was five years ago. In today's interview, Tetlock explains how his research agenda continues to advance, today using the game Civilization 5 to see how well we can predict what would have happened in elusive counterfactual worlds we never get to see, and discovering how simple algorithms can complement or substitute for human judgement.
We discuss how his work can be applied to your personal life to answer high-stakes questions, like how likely you are to thrive in a given career path, or whether your business idea will be a billion-dollar unicorn — or fall apart catastrophically. (To help you get better at figuring those things out, our site now has a training app developed by the Open Philanthropy Project and Clearer Thinking that teaches you to distinguish your '70 percents' from your '80 percents'.)
We also bring some tough methodological questions raised by the author of a recent review of the forecasting literature. And we find out what jobs people can take to make improving the reasonableness of decision-making in major institutions that shape the world their profession, as it has been for Tetlock over many decades.
We view Tetlock's work as so core to living well that we've brought him back for a second and longer appearance on the show — his first was back in episode 15.
Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: type 80,000 Hours into your podcasting app.
The 80,000 Hours Podcast is produced by Keiran Harris.
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