Bounce: The Myth of Talent and the Power of Practice. Matthew Syed

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had practised for more hours. Further research has shown that when top performers seem to possess an early gift for music, it is often because they have been given extra tuition at home by their parents.

      But what about child prodigies – kids who reach world class while still in adolescence? Have they not learned at a super-fast rate? Well, no. As we shall see in the next chapter, child prodigies may look as if they have reached the top in double-quick time, but the reality is that they have compressed astronomical quantities of practice into the short period between birth and adolescence.

      As John Sloboda, professor of psychology at Keele University, put it: ‘There is absolutely no evidence of a “fast track” for high achievers.’ Jack Nicklaus, the most successful golfer of all time, has made the same point: ‘Nobody – but nobody – has ever become really proficient at golf without practice, without doing a lot of thinking and then hitting a lot of shots. It isn’t so much a lack of talent; it’s a lack of being able to repeat good shots consistently that frustrates most players. And the only answer to that is practice.’

      The same conclusion – about the primacy of practice – is reached by widening the perspective, as Ericsson has shown. Just consider the way in which standards have risen dramatically in just about every area of human endeavour. Take music: when Franz Liszt composed Feux Follets in 1826, it was said to be virtually unplayable; today, it is performed by every top pianist.

      The same is true in sport. When the winner of the men’s 100 metres in the 1900 Olympics clocked 11.0 seconds, it was considered a miracle; today that time would not be sufficient to qualify for the final of the secondary school national trials. In diving, the double somersault was almost prohibited in the 1924 Olympics because it was considered dangerous; now it is routine. The fastest time for the marathon in the 1896 Olympics was just a few minutes faster than the entry time for today’s Boston Marathon, which is achieved by thousands of amateurs.

      In academia, too, standards are spiralling ever upwards. The thirteenth-century English scholar Roger Bacon argued that it was impossible to master mathematics in less than thirty to forty years; today calculus is taught to almost every college student. And so it goes on.

      But the key point is that these improvements have not occurred because people are getting more talented: Darwinian evolution operates over a much longer time span. They must have occurred, therefore, because people are practising longer, harder (due to professionalism), and smarter. It is the quality and quantity of practice, not genes, that is driving progress. And if that is true of society, why not accept that it is also true of individuals?

      So the question is: How long do you need to practise in order to achieve excellence? Extensive research, it turns out, has come up with a very specific answer to that question: from art to science and from board games to tennis, it has been found that a minimum of ten years is required to reach world-class status in any complex task.

      In chess, for example, Herbert Simon and William Chase, two American psychologists, found that nobody had attained the level of an international grandmaster ‘with less than a decade’s intense preparation with the game’. In music composition, John Hayes also found that ten years of dedication is required to achieve excellence, a verdict that features centrally in his book The Complete Problem Solver.

      An analysis of the top nine golfers of the twentieth century showed that they won their first international competition at around twenty-five years of age, which was, on average, more than ten years after they started golfing. The same finding has been discovered in fields as diverse as mathematics, tennis, swimming, and long-distance running.

      The same is even true in academia. In a study of the 120 most important scientists and 123 most famous poets and authors of the nineteenth century, it was found that ten years elapsed between their first work and their best work. Ten years, then, is the magic number for the attainment of excellence.

      In Outliers, Malcolm Gladwell points out that most top performers practise for around one thousand hours per year (it is difficult to sustain the quality of practice if you go beyond this), so he re-describes the ten-year rule as the ten-thousand-hour rule. This is the minimum time necessary for the acquisition of expertise in any complex task. It is also, of course, the number of hours that the top violinists had practised in the Ericsson experiment.*

      Now think about how often you have heard people dismiss their own potential with statements like ‘I am not a natural linguist’ or ‘I don’t have the brain for numbers’ or ‘I lack the coordination for sport’. Where is the evidence for such pessimism? Often it is based upon nothing more than a few weeks or a few months of half-hearted effort. What the science is telling us is that many thousands of hours of practice are necessary to break into the realm of excellence.

      Before going on, it’s worth emphasizing something about the upcoming chapters: the truth of the arguments will have urgent implications for the way we choose to live our lives. If we believe that attaining excellence hinges on talent, we are likely to give up if we show insufficient early promise. And this will be perfectly rational, given the premise.

      If, on the other hand, we believe that talent is not (or is only marginally) implicated in our future achievements, we are likely to persevere. Moreover, we will be inclined to move heaven and earth to get the right opportunities for ourselves and our families: the right teacher, access to decent facilities; the entire coalition of factors that lead to the top. And, if we are right, we will eventually excel. What we decide about the nature of talent, then, could scarcely be more important.

      To conclude this section, here’s an example from Outliers that evokes the twin insights of modern research on excellence: namely, the importance of opportunity on the one hand and practice on the other.

      In the mid-1980s Roger Barnsley, a Canadian psychologist, was with his family at a Lethbridge Broncos ice hockey game when he was alerted by his wife – who was leafing through the programme – to what looked like an extraordinary coincidence: many of the players had birthdays in the early months of the calendar.

      ‘I thought she was crazy,’ Barnsley told Gladwell. ‘But I looked through it, and what she was saying just jumped out at me. For some reason, there were an incredible number of January, February, and March birth dates.’

      What was going on? Had a genetic mutation affected only those Canadian ice hockey players born in the early part of the year? Was it something to do with the alignment of the stars in the early part of the calendar?

      In fact the explanation was simple: the eligibility cut-off date for all age-based ice hockey in Canada is 1 January. That means that a ten-year-old boy born in January could be playing alongside another boy born almost twelve months later. This difference in age can represent a huge difference in terms of physical development at that time of life.

      As Gladwell puts it:

      This being Canada, the most ice hockey-crazed country on earth, coaches start to select players for the travelling rep squad – the all-star teams – at the age of nine or ten, and of course they are more likely to view as talented the bigger and more coordinated players, who have had the benefit of critical extra months of maturity.

      And what happens when a player gets chosen for a rep squad? He gets better coaching, and his teammates are better, and he plays fifty or seventy-five games a season instead of twenty games a season ... By the age of thirteen or fourteen, with the benefit of better coaching and all that extra practice under his belt, he’s the one more likely to make it to the Major Junior A League, and from there into the big leagues.

      The skewed distribution

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