Self-Growth
SuperforecastingSuperforecasting

Superforecasting

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Philip E. Tetlock & Dan Gardner

Mary Simpson’s inability to foresee the 2007 financial crisis, despite her expertise in economics, became a pivotal moment that drove her to join the Good Judgment Project and develop into a superforecaster, embodying the growth mindset described by psychologist Carol Dweck. This mindset, which views skills as cultivable through effort, contrasts with the fixed mindset that sees abilities as static. Historical figures like John Maynard Keynes illustrate the power of adaptability, as he transformed investment failures into opportunities for refinement. This iterative process of learning—attempting, failing, analyzing, and adjusting—has fueled progress in fields like aviation and medicine. However, theoretical knowledge alone is insufficient; hands-on experience, combined with constructive feedback, is essential for mastery. Professions like meteorology thrive on this principle, while others, like law enforcement, often lack the immediate feedback necessary for improvement. Superforecasters exemplify this commitment to growth, systematically dissecting uncertainties, integrating diverse perspectives, and continuously refining their predictions as new evidence emerges. Their success underscores that forecasting is not about innate talent but about adopting deliberate, evidence-based practices—a skill accessible to anyone willing to embrace effort and adaptability.

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¿De qué trata?

Superforecasting is not about innate genius but the disciplined application of evidence-based reasoning and adaptability. This book delves into the methods and mindsets that enable ordinary individuals to make extraordinary predictions, emphasizing the power of breaking down complex questions, embracing feedback, and maintaining a growth-oriented perspective. Through real-world examples and insights from psychology and decision-making, it reveals how anyone can refine their forecasting skills to navigate uncertainty with precision. A compelling exploration of how clear thinking and continuous learning can unlock the potential for accurate foresight in an unpredictable world.

Resumen del libro

Philip E. Tetlock is the Annenberg University Professor at the University of Pennsylvania. He's a co-leader of the multi-year Good Judgment Project and is the author of Expert Political Judgment and coauthor of Counterfactual Thought Experiments in World Politics with Aaron Belkin. Over his career, he's published over 200 peer-reviewed articles and earned recognition from scientific entities such as the National Academy of Sciences and the American Psychological Association.

Mary Simpson’s inability to foresee the 2007 financial crisis, despite her expertise in economics, became a pivotal moment that drove her to join the Good Judgment Project and develop into a superforecaster, embodying the growth mindset described by psychologist Carol Dweck. This mindset, which views skills as cultivable through effort, contrasts with the fixed mindset that sees abilities as static. Historical figures like John Maynard Keynes illustrate the power of adaptability, as he transformed investment failures into opportunities for refinement. This iterative process of learning—attempting, failing, analyzing, and adjusting—has fueled progress in fields like aviation and medicine. However, theoretical knowledge alone is insufficient; hands-on experience, combined with constructive feedback, is essential for mastery. Professions like meteorology thrive on this principle, while others, like law enforcement, often lack the immediate feedback necessary for improvement. Superforecasters exemplify this commitment to growth, systematically dissecting uncertainties, integrating diverse perspectives, and continuously refining their predictions as new evidence emerges. Their success underscores that forecasting is not about innate talent but about adopting deliberate, evidence-based practices—a skill accessible to anyone willing to embrace effort and adaptability.

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bite5 Bites

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