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From The Mastery Project Podcast: The 10,000 Hour Myth
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The 10,000-hour rule grew out of K. Anders Ericsson’s research on elite violinists, and Ericsson spent much of his later career explaining that it misread his data. What separated his best performers was a particular kind of practice, aimed at their weakest points and paired with immediate feedback. A later meta-analysis found that even this kind of practice explains only part of the difference between people who become excellent and people who do not.
The third week.
If you have ever started learning something with real enthusiasm, whether coding, guitar, public speaking or the brachial plexus, the first week or two may have gone well. Everything is new, and early progress comes quickly.
For many people the third week is different. The easy gains are used up. You have improved enough to see how far there is to go, and the distance between what you want to produce and what you can produce looks very large. A common response is to drift toward something else and decide the timing was wrong.
That response is understandable. The more useful question is what the people who keep going are doing differently, and the research answer involves less talent and fewer shortcuts than the popular version suggests.
Hours alone do not produce experts.
Malcolm Gladwell’s Outliers made 10,000 hours the best-known number in the study of expertise. The figure came from Ericsson’s work with violinists at a Berlin music academy (Ericsson, Krampe & Tesch-Römer, 1993), and Ericsson later wrote that the popular rule got the finding wrong. The number of hours mattered less than how those hours were spent.
Typing shows why. Many people have typed for thousands of hours and stopped getting faster years ago. Once a skill is good enough for everyday use, more hours of the same use tend to keep it at that level.
What Ericsson found in top performers was deliberate practice: identifying the specific part of a skill you do worst, working on exactly that part just beyond your current ability, getting immediate feedback, and repeating. Ordinary practice rehearses what you can already do. Deliberate practice goes looking for what you can’t do yet.
A story about Kobe Bryant circulates in several versions, and I can’t confirm any of them. A trainer arrives at a gym before dawn expecting highlight-reel moves and finds Bryant drilling basic footwork over and over. The point holds with or without the story. Practice built around your weaknesses is uncomfortable, and that discomfort is one reason so many people stop at the first plateau.
Greene’s apprenticeship stage.
Robert Greene’s Mastery follows how figures from Leonardo da Vinci to Charles Darwin learned their fields. Greene argues that each of them went through a long apprenticeship first, and he treats humility as its main requirement.
This is where ego gets in the way. Learning something new means being slow and visibly worse than the people around you for a long time. Some people who could learn the material stop anyway, because being a beginner for months is hard to tolerate. Greene’s subjects accepted the apprentice role on purpose. They watched, learned the rules, made a great many mistakes and took correction.
The payoff shows up in the skill itself. Someone learning guitar places each finger consciously at first, and it sounds bad and hurts. With enough repetition the movement leaves conscious control, and the player starts listening to the music instead of watching their hands. Greene describes the later stages of mastery in these terms: the rules are still there, and the person no longer has to think about them.
Flow depends on the match between challenge and ability.
Part of what keeps people going is flow, the state of full absorption in which self-consciousness drops away and time seems to move differently. Mihaly Csikszentmihalyi, who named it, found that flow tends to occur when a task’s challenge is well matched to the person’s ability or slightly beyond it. A 2015 meta-analysis found moderate support for that link (Fong, Zaleski & Leach, 2015).
The condition has a consequence. When the challenge is far beyond what you can do, the likelier result is anxiety, and when the task is too easy, boredom. Building ability is what makes flow available more often, for a surgeon in the middle of a complex procedure as much as for a musician.
The standard keeps rising.
People at the top of a field rarely describe an endpoint. As they improve, they notice more of what they don’t yet know.
I think of it as a dark room. A beginner holds a small flashlight, sees a circle a few feet wide and assumes the room is small. As ability grows, the light gets stronger and shows a much larger space than the beginner imagined. Standards rise with it, and the finish line moves back.
People who stay with a field for decades often describe this as part of what keeps them in it, because the work keeps offering something new.
The one thing to do.
Pick a skill you are working on now and name the one component you do worst. Choose a single piece, such as the chord change you avoid or the anatomy region you skip when you review.
Spend fifteen minutes on that piece this week, with some form of immediate feedback, such as a recording of yourself or a question bank that shows the correct answer. Expect it to feel worse than practicing what you already do well.
If you are in the third week of something right now and not as good as you want to be, that is a normal stage of learning and a poor basis for deciding you lack ability.
If starting is harder for you than continuing, the post on discipline and design covers how to shrink the first step. If practice going badly is what shakes you, the post on real toughness covers that.
What this does not show.
Deliberate practice matters, but a large meta-analysis found that it accounted for a minority of the differences in performance: about 26% in games, 21% in music, 18% in sports, 4% in education and less than 1% in professions (Macnamara, Hambrick & Oswald, 2014). Starting age, working memory, access to good coaching and opportunity also matter. Practice alone does not determine the outcome.
Some popular claims about flow go beyond the evidence, especially specific accounts of the brain chemistry behind it, such as those in Steven Kotler’s writing. The link between challenge, ability and absorption is well supported; the neurochemical detail is not settled.
Greene’s Mastery is narrative history built from biographies, not a controlled study. It describes what the path has looked like for some people and cannot show how it works for everyone.
References
- Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
- Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363
- Ericsson, A., & Pool, R. (2016). Peak: Secrets from the new science of expertise. Houghton Mifflin Harcourt.
- Fong, C. J., Zaleski, D. J., & Leach, J. K. (2015). The challenge–skill balance and antecedents of flow: A meta-analytic investigation. The Journal of Positive Psychology, 10(5), 425–446. https://doi.org/10.1080/17439760.2014.967799
- Gladwell, M. (2008). Outliers: The story of success. Little, Brown.
- Greene, R. (2012). Mastery. Viking.
- Macnamara, B. N., Hambrick, D. Z., & Oswald, F. L. (2014). Deliberate practice and performance in music, games, sports, education, and professions: A meta-analysis. Psychological Science, 25(8), 1608–1618. https://doi.org/10.1177/0956797614535810