From a study of 30 violin students in Berlin (1993) to the "rule" in the bestseller Outliers (2008)
Sources: Ericsson, Krampe and Tesch-Römer (Psychological Review, 1993); Ericsson and Pool, Peak (2016); Campitelli and Gobet (2011); Macnamara, Hambrick and Oswald (Psychological Science, 2014); Hambrick et al. (Intelligence, 2014).
A small study of violin students became the "10,000-hour rule" for every profession. The real question is not "how many hours" but "what kind of hours, and how much do hours explain".
Every retelling dropped one more condition.
Sources: Simon and Chase, American Scientist 61(4), 1973 (the 10,000–50,000 hours figure as quoted in Gladwell, The New Yorker, 2013, secondary source); Ericsson et al. (1993); Levitin (2006); Gladwell (2008, 2013); Ericsson and Pool (2016).
Sources: Hambrick, Oswald, Altmann, Meinz, Gobet and Campitelli, Intelligence 45, 2014; Platz, Kopiez, Lehmann and Wolf, Frontiers in Psychology, 2014; Macnamara, Moreau and Hambrick, Perspectives on Psychological Science 11(3), 2016 (18%); the ~1% figure for elite athletes per BPS Research Digest and Fox News (2016), secondary sources.
11 common versions of the myth, checked against the original research. Click a line to see why.
In violin (Ericsson 1993) and chess (Gobet and Campitelli 2007), nobody reached the top with very little practice. The fastest of 104 Argentinian players still needed about 3,000 hours.
This is Ericsson's central point from 1993 to Peak (2016): narrow goals, feedback, slightly beyond your ability. The review of doctors (Choudhry 2005) shows that years on the job do not automatically make people better.
About 18–26% according to Macnamara (2014), 30–34% when corrected for measurement error (Hambrick 2014). Not small, but not everything.
The number has a real origin: the average of the best violin group at age 20. But it is an average, recalled from memory, and at that age they were not yet masters. In chess, hours to master level differ almost 8-fold (3,016 to 23,608).
The 12% is an average across many domains and measures. Ericsson disputed the definition used in that analysis; correcting for measurement error gives higher shares. The sources still disagree, but nobody says practice is useless.
They did play a great deal. But Ericsson argues that nightly performing is not deliberate practice, and that Gladwell did not distinguish the two. An anecdote cannot prove a rule.
That swaps one myth for another. The unexplained part includes starting age, working memory, personality, quality of teaching, environment and measurement error, not just genes. Gobet and Campitelli: practice is "necessary but not sufficient".
In the Argentinian chess sample, some players had practised more than 25,000 hours without reaching master level (Campitelli and Gobet 2011). The 2019 replication also found the best group did not practise more than the good group.
Ericsson says the number varies from field to field. In professions, practice explained under 1% of differences, in education 4% (Macnamara 2014).
The name is Gladwell's (2008). Ericsson later wrote that the rule misrepresents his research in several ways (Peak, 2016; Salon, 2016).
Routine hours on the job are not deliberate practice. 32 of 62 evaluations of doctors found quality declined with years in practice (Choudhry 2005).
Sources: as in Part 3 and the list in Part 8. Ericsson's point that "performing is not deliberate practice" read via interviews and secondary quotations (Wharton Knowledge, Salon 2016).
Scores are Mark's assessment based on the sources in Part 8, not figures from a study. Higher means more wrong, more persistent, more harmful.
Half right: the right practice is necessary, but there is no magic number, and not every hour is equal.
A round number, a fair-sounding promise ("anyone can do it"), and great stories about the Beatles and Bill Gates. It is easier to remember than "deliberate practice explains a sizeable but not complete share of differences in performance, depending on the field".
Both sides of the debate agree on one thing: practice helps. They differ on how big its share is and how to measure it.
For any skill at work: presenting, writing emails, Excel, client interviews, coding.
Original papers first. Where only a secondary source was available, it is labelled next to the number.