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
##這本書從一月讀到四月，一開始覺得很棒，給我瞭新的啓發，range maybe better than hyperspecialization and do not feel lag behind 但是一整本書翻來覆去的將案例就有點說教瞭 but still, it inspired me and mitigated my anxiety.
評分##Outliers的作者做瞭首頁推薦，其實兩本書的觀點並不矛盾，綜閤起來看，個人成長應盡可能拓展知識寬度和經曆的豐富性（range)，找到真正的興趣點和專長之後再集中精力齣成就，先前探索的過程也不會被浪費，有range的成就反而可能會更大。隻給三顆星是因為作者很多觀點挺好，但論證過程太多例子看著重復且纍
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##讀完整本書的收獲和讀完書名的收獲差不多。書的內容基本就是用各種角落裏挖齣的符閤自己論點的真實故事，澆上無限的瑣碎細節，生生填滿的。
評分##用 pss.plus 讀完。例子篇幅太長。
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
評分##這本書從一月讀到四月，一開始覺得很棒，給我瞭新的啓發，range maybe better than hyperspecialization and do not feel lag behind 但是一整本書翻來覆去的將案例就有點說教瞭 but still, it inspired me and mitigated my anxiety.
評分##大概三章就能講明白的道理，車軲轆話不停地說，反復地說……
評分##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
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