Myth 11 · Myths
The 10,000 hours that were an average, not a rule
The "10,000-hour rule" says anyone becomes an expert after that much practice, but the study behind it reported an average for one group, and later reviews found practice explains only part of skill.
- Ericsson, Krampe and Tesch-Römer, Psychological Review
- Berlin, Germany
- 1993
- 3 min read
On this page
Before you readWhat would you do?
A colleague wants to get good at writing prompts for AI tools. Which plan matches what the evidence says about practice?
Pick an answer now. The file tells you whether you were right.
01The file in one minute
1The myth
Anyone becomes a world-class expert after 10,000 hours of practice.
2The source
A 1993 study found the best violin students in Berlin had averaged roughly 10,000 hours of deliberate practice by age 20.
3The evidence
A 2014 meta-analysis found deliberate practice explained about 12% of performance differences overall.
4The lesson for AI
Better practice beats more practice, for people and for AI models: feedback and good examples matter.
02Timeline
1993
Ericsson and colleagues publish their study of violin students.
2008
Malcolm Gladwell's Outliers popularises the "10,000-hour rule".
2014
A meta-analysis finds practice explains only part of skill differences.
03The myth
In 1993 the psychologist Anders Ericsson and two colleagues published a study of violin students at a music academy in Berlin. Using diaries and interviews, they estimated how much time students had spent in deliberate practice, meaning focused work on weak spots with feedback. By age 20 the best violinists had averaged roughly 10,000 hours, more than the less accomplished groups.
In 2008 the writer Malcolm Gladwell popularised the "10,000-hour rule" in his book Outliers, using examples such as the Beatles and Bill Gates. The phrase spread as a promise that 10,000 hours of practice will make anyone world class.
Ericsson later said the number was an average for one group, not a threshold, and that the kind of practice mattered more than the hours. In 2014 a meta-analysis by Brooke Macnamara and colleagues pooled many studies and found deliberate practice explained about 12% of the differences in performance overall, more in games and music and much less in professions.
04What the evidence says
Practice matters a great deal. But people start from different places, learn at different speeds, get different coaching and work in fields with different rules. In stable fields with clear feedback, like chess, practice explains more. In messy fields, like many jobs, it explains less.
Quality also counts. Ten thousand hours of repeating what you already know builds less skill than fewer hours spent on your weak points with feedback.
The AI angle: AI models also improve more from better training than from extra volume alone. Clean, varied examples and clear feedback help a model, and a person, the most.
The idea behind this caseLesson: How machines learn →
05How to spot the next one
- Ask whether a famous number was a rule, an average or just an example.
- Spend practice time on your weak spots, with feedback from someone better or from a clear result.
- Expect different people to need different amounts of practice, and do not see slower progress as failure.
- When you use AI to practise, ask it to point out your mistakes instead of just doing the task for you.
07 — Sources
- The role of deliberate practice in the acquisition of expert performance · Psychological Review · 1993
- Deliberate Practice and Performance in Music, Games, Sports, Education, and Professions: A Meta-Analysis · Psychological Science · 2014