具体描述
“Range is an urgent and important book, an essential read for bosses, parents, coaches, and anyone who cares about improving performance.” —Daniel H. Pink
What's the most effective path to success in any domain? It's not what you think.
Plenty of experts argue that anyone who wants to develop a skill, play an instrument, or lead their field should start early, focus intensely, and rack up as many hours of deliberate practice as possible. If you dabble or delay, you’ll never catch up to the people who got a head start. But a closer look at research on the world’s top performers, from professional athletes to Nobel laureates, shows that early specialization is the exception, not the rule.
David Epstein examined the world’s most successful athletes, artists, musicians, inventors, forecasters and scientists. He discovered that in most fields—especially those that are complex and unpredictable—generalists, not specialists, are primed to excel. Generalists often find their path late, and they juggle many interests rather than focusing on one. They’re also more creative, more agile, and able to make connections their more specialized peers can’t see.
Provocative, rigorous, and engrossing, Range makes a compelling case for actively cultivating inefficiency. Failing a test is the best way to learn. Frequent quitters end up with the most fulfilling careers. The most impactful inventors cross domains rather than deepening their knowledge in a single area. As experts silo themselves further while computers master more of the skills once reserved for highly focused humans, people who think broadly and embrace diverse experiences and perspectives will increasingly thrive.
用户评价
近1年商业/社科最佳。给了非常多案例讨论了：10000h什么时候是不必要的（late-specialization），是否应该转专业/转行（match quality+个人成长），什么时候data-driven的文化是有害的，不同问题/领域（类比思维+问题结构分析）如何移植经验，都很有启发. 最重要的是给了希望转变、没有很早确定目标的人信心 —— don't feel behind. 遗憾的是没有给specialization更多的讨论，e.g. 在什么时候specialize是必要的，什么时候generalize是好的，这样整个话题会更全面、客观
评分##读完整本书的收获和读完书名的收获差不多。书的内容基本就是用各种角落里挖出的符合自己论点的真实故事，浇上无限的琐碎细节，生生填满的。
评分近1年商业/社科最佳。给了非常多案例讨论了：10000h什么时候是不必要的（late-specialization），是否应该转专业/转行（match quality+个人成长），什么时候data-driven的文化是有害的，不同问题/领域（类比思维+问题结构分析）如何移植经验，都很有启发. 最重要的是给了希望转变、没有很早确定目标的人信心 —— don't feel behind. 遗憾的是没有给specialization更多的讨论，e.g. 在什么时候specialize是必要的，什么时候generalize是好的，这样整个话题会更全面、客观
评分##"Mental meandering and personal experimentation are sources of power, and head starts are overrated"
评分##full of stories that are bit too verbose to explain simple concepts.. finished 5 chapters (1) sampling before settling (2) analogical thinking (3) narrow-minded/biases due to narrow field
评分##Finished 10/12 chapters. A great challenge to 10k hour rule and don't be afraid of falling behind. When match quality isn’t good, quitting is a better way out to seek other options you feel passionate about where grit and perseverance are in the way of ‘quitting’. Van Gogh and self-discovery of rare genetic disease example
评分近1年商业/社科最佳。给了非常多案例讨论了：10000h什么时候是不必要的（late-specialization），是否应该转专业/转行（match quality+个人成长），什么时候data-driven的文化是有害的，不同问题/领域（类比思维+问题结构分析）如何移植经验，都很有启发. 最重要的是给了希望转变、没有很早确定目标的人信心 —— don't feel behind. 遗憾的是没有给specialization更多的讨论，e.g. 在什么时候specialize是必要的，什么时候generalize是好的，这样整个话题会更全面、客观
评分##“想要相信 或者 我已经相信了” 这样是不对的，这本书大量引用Khaneman，不如直接去读Khaneman，现阶段对我无appeal | 大致略读 文中材料不新（10yr+）例子局限 作者本身是个reportor不是科学家
评分##讲的是通才和专才的取舍关系，当前世界的技能格局，以及通才的技能策略
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