具體描述
“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.
用戶評價
近1年商業/社科最佳。給瞭非常多案例討論瞭：10000h什麼時候是不必要的（late-specialization），是否應該轉專業/轉行（match quality+個人成長），什麼時候data-driven的文化是有害的，不同問題/領域（類比思維+問題結構分析）如何移植經驗，都很有啓發. 最重要的是給瞭希望轉變、沒有很早確定目標的人信心 —— don't feel behind. 遺憾的是沒有給specialization更多的討論，e.g. 在什麼時候specialize是必要的，什麼時候generalize是好的，這樣整個話題會更全麵、客觀
評分##"Mental meandering and personal experimentation are sources of power, and head starts are overrated"
評分##用 pss.plus 讀完。例子篇幅太長。
評分##用 pss.plus 讀完。例子篇幅太長。
評分##講的是通纔和專纔的取捨關係，當前世界的技能格局，以及通纔的技能策略
評分##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
評分##“想要相信 或者 我已經相信瞭” 這樣是不對的，這本書大量引用Khaneman，不如直接去讀Khaneman，現階段對我無appeal | 大緻略讀 文中材料不新（10yr+）例子局限 作者本身是個reportor不是科學傢
評分##講的是通纔和專纔的取捨關係，當前世界的技能格局，以及通纔的技能策略
評分近1年商業/社科最佳。給瞭非常多案例討論瞭：10000h什麼時候是不必要的（late-specialization），是否應該轉專業/轉行（match quality+個人成長），什麼時候data-driven的文化是有害的，不同問題/領域（類比思維+問題結構分析）如何移植經驗，都很有啓發. 最重要的是給瞭希望轉變、沒有很早確定目標的人信心 —— don't feel behind. 遺憾的是沒有給specialization更多的討論，e.g. 在什麼時候specialize是必要的，什麼時候generalize是好的，這樣整個話題會更全麵、客觀
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