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Super Thinking

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Super Thinking

The Big Book of Mental Models

Portfolio,

15 min. de leitura
10 Ideias Fundamentais
Áudio & Texto

Sobre o que é?

Shortcuts help the world’s best thinkers distinguish great ideas from the not-so-great.


Editorial Rating

8

Qualities

  • Applicable
  • Well Structured
  • Concrete Examples

Recommendation

People use mental models – that is, concepts – to approach, analyze or anticipate decisions and problem solving. “Super models” imbue you with the power of super thinking to strengthen your decision-making skill. Husband-and-wife team Gabriel Weinberg and Lauren McCann list 300+ mental models from (and applicable to) a wide range of fields to guide you through challenging decisions. Their insightful, fast-paced reference manual offers practical examples you’ll read and return to again and again.

Summary

Apply mental models to improve how you make decisions and handle complexity.

Mental models are decision-making frameworks that assist you in making complex decisions and help you differentiate between good and bad ideas. “Super models” provide the power of “super thinking,” which strengthens your decision-making skills. These models function as shortcuts that zip you past “lower-level thinking.”

Investor Charlie Munger, the vice chairman of Berkshire Hathaway, champions mental models as tools that help you arrange facts into usable structures. Speaking at Stanford Law School in 1996, Munger emphasized that effective multidisciplinary thinking means embracing the best ideas from various disciplines. Mental models help you jump boundaries.

Most mental models aren’t innate, but you can learn and apply them to a variety of categories and situations. After you internalize the models, it’s difficult to consider functioning without them. For example, multiplication is a mental model; it creates greater efficiencies than addition, a simpler model. Once you understand multiplication, you can’t imagine not...

About the Authors

Gabriel Weinberg is the founder and CEO of DuckDuckGo and the co-author of Traction. Articles by statistician and researcher Lauren McCann, PhD, have appeared in The New England Journal of Medicine


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