Range: Why Generalists Triumph in a Specialized World
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Read between April 1 - April 30, 2025
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I dove into work showing that highly credentialed experts can become so narrow-minded that they actually get worse with experience, even while becoming more confident—a dangerous combination. And I was stunned when cognitive psychologists I spoke with led me to an enormous and too often ignored body of work demonstrating that learning itself is best done slowly to accumulate lasting knowledge, even when that means performing poorly on tests of immediate progress. That is, the most effective learning looks inefficient; it looks like falling behind.
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Overspecialization can lead to collective tragedy even when every individual separately takes the most reasonable course of action.
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“if all you have is a hammer, everything looks like a nail”
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The challenge we all face is how to maintain the benefits of breadth, diverse experience, interdisciplinary thinking, and delayed concentration in a world that increasingly incentivizes, even demands, hyperspecialization.
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In wicked domains, the rules of the game are often unclear or incomplete, there may or may not be repetitive patterns and they may not be obvious, and feedback is often delayed, inaccurate, or both.
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Moravec’s paradox: machines and humans frequently have opposite strengths and weaknesses.
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Our greatest strength is the exact opposite of narrow specialization. It is the ability to integrate broadly.
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“AI systems are like savants.” They need stable structures and narrow worlds.
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everyone needs habits of mind that allow them to dance across disciplines.
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Three-quarters of American college graduates go on to a career unrelated to their major—a
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“Children do not practice exercises to learn to talk. . . . Children learn to read after their ability to talk has been well established.”
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Learners become better at applying their knowledge to a situation they’ve never seen before, which is the essence of creativity.
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Frustration is not a sign you are not learning, but ease is.
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“winners”—he generally meant individuals who reach the apex of their domain—quit fast and often when they detect that a plan is not the best fit, and do not feel bad about it. “We fail,” he wrote, when we stick with “tasks we don’t have the guts to quit.”
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The trouble, Godin noted, is that humans are bedeviled by the “sunk cost fallacy.” Having invested time or money in something, we are loath to leave it, because that would mean we had wasted our time or money, even though it is already gone.
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“You have to carry a big basket to bring something home.” She repeats that phrase today, to mean that a mind kept wide open will take something from every new experience.
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The most momentous personality changes occur between age eighteen and one’s late twenties, so specializing early is a task of predicting match quality for a person who does not yet exist.
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“If you get someone into a context that suits them,” Ogas said, “they’ll more likely work hard and it will look like grit from the outside.”
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we learn who we are only by living, and not before.
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“I think it happens more often than we’d love to admit, because we tend to view things with all the information we’ve gathered in our industry, and sometimes that puts us down a path that goes into a wall. It’s hard to back up and find another path.”
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Einstellung effect, a psychology term for the tendency of problem solvers to employ only familiar methods even if better ones are available.
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Yokoi was the first to admit it. “I don’t have any particular specialist skills,” he once said. “I have a sort of vague knowledge of everything.” He advised young employees not just to play with technology for its own sake, but to play with ideas. Do not be an engineer, he said, be a producer. “The producer knows that there’s such a thing as a semiconductor, but doesn’t need to know its inner workings. . . . That can be left to the experts.” He argued, “Everyone takes the approach of learning detailed, complex skills. If no one did this then there wouldn’t be people who shine as ...more
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His hypothesis is that organizations simply don’t need as many specialists. “As information becomes more broadly available, the need for somebody to just advance a field isn’t as critical because in effect they are available to everybody,” he said. He is suggesting that communication technology has limited the number of hyperspecialists required to work on a particular narrow problem, because their breakthroughs can be communicated quickly and widely to others—the