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Business & Economics Decision-making & Problem Solving

The Great Mental Models, Volume 1

General Thinking Concepts

by (author) Shane Parrish & Rhiannon Beaubien

Publisher
Penguin Publishing Group
Initial publish date
Oct 2024
Category
Decision-Making & Problem Solving, Personal & Practical Guides, Skills
  • Hardback

    ISBN
    9780593719978
    Publish Date
    Oct 2024
    List Price
    $39.99

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Description

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast.

This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you.

Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields.

Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back.

The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results.

Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity.

This book will teach you how to:

  • Avoid blind spots when looking at problems.
  • Find non-obvious solutions.
  • Anticipate and achieve desired outcomes.
  • Play to your strengths, avoid your weaknesses,

… and more.

The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.

About the authors

Shane is the founder of Farnam Street, and currently resides in Ottawa, Canada. Farnam Street (FS) is one of the world’s fastest growing websites, dedicated to helping our readers master the best of what other people have already figured out. We curate, examine and explore the timeless ideas and mental models that history’s brightest minds have used to live lives of purpose. Our readers include students, teachers, CEOs, coaches, athletes, artists, leaders, followers, politicians and more. They’re not defined by gender, age, income, or politics but rather by a shared passion for avoiding problems, making better decisions, and lifelong learning.

Shane Parrish's profile page

Rhiannon Beaubien is a writer and the managing editor at Farnam Street Media where she leads the development of The Great Mental Models book series. She is based out of Ottawa, Canada and regularly explores how to apply the timeless ideas behind mental models on fs.blog. She worked at a Canadian intelligence agency for more than ten years and is also an author of fiction.

Rhiannon Beaubien's profile page

Editorial Reviews

“I’m really glad this exists in the world and I can see that I will be recommending it often.”
— Matt Mullenweg, co-founder of WordPress, founder and CEO of Automattic

“If you’ve read Charlie Munger’s Almanack this is the book you deeply crave in its wake. … Learn the big ideas from the big disciplines and you’ll be able to twist and turn problems in interesting ways at unprecedented speeds. … You owe yourself this book.”
— Simon Eskildsen

“This is what non-fiction books should aspire to be like. Informative, concise, universal, practical, visual, sharing stories and examples for context. Definitely, a must-read if you’re into universal multi-disciplinary thinking.”
— Carl Rannaberg

“I can truly say it is one of the best books I’ve ever had the pleasure of getting lost in. I loved the book and the challenges to conventional wisdom and thinking it presents.”
— Rod Berryman

“Want to learn? Read This! This should be a standard text for high school and university students.”
— Code Cubitt

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