Skip to main content

The Talent Code – Daniel Coyle ****

I started off as something of a sceptic with this book – I wasn’t sure if it was an ‘improve yourself’ manual or a science book, and to begin with it is very, very repetitive. (If I see ‘skill is a myelin insulation that wraps neural circuits and that grows according to certain signals’ one more time I’ll scream.) But it grew on me as an approach, even though I have some issues with the message, which I’ll come back to.
The odd thing about it is that the central scientific concept has been known about for decades – what happens is not at all new – but why it happens is a revelation. The idea is that through reinforcement – ‘deep practice’ as Daniel Coyle calls it – particularly when things go wrong in ways we can pick up and learn from – our brain develops pathways that become more efficient. This has been talked about for a long time in terms of the brain being a self-patterning system, where the more we use particularly pathways the more bandwidth they carry – the only new bit of science is the knowledge that this ‘thickening’ is actually of the myelin sheath around the neurons.
However, what Coyle does most effectively is to combine the information about this feature of the brain with observations of how to practice, an understanding of how seeing individuals break out can ‘ignite’ breakthroughs in others, and an excellent analysis of the most effective approach to coaching. As he makes clear, the idea that good coaching is about strong leadership and charisma simply isn’t true – it’s much more about micro manipulation on the edge of an individual’s or team’s capabilities.
This aspect of making pathways easier to use has been a conscious factor in creativity circles for many years as an example of why, to be creative, you need to slow down, to let your mind wander – because under pressure the brain uses those high bandwidth pathways and you do the same old thing. So Coyle’s ‘talent code’ is actually about how to shut down creativity. To be creative you need to make new links, new connections, travel down little used routes. If his book is correct, the talent this approach fosters is great for the sort of activity that has to be mechanical, automatic and without real creativity – playing music or sport, for example – but is useless for any kind of talent requiring creative thought.
Coyle fails to pick up on this. What he doesn’t spot is that there are two distinct aspects to a creative art like music or writing. One is technical skill. This is what he concentrates on with music (his writing examples are few and poor). But there is also the creativity required in being a composer, which requires a whole different kind of capability. Similarly, he points out a lot of writing is craft. And it is. This aspect of it can be enhanced by the approach he mentions. But it’s useless for coming up with new ideas – an equally important part of writing.
This is why the vast majority of the book concentrates on playing sport and playing music – both low creativity, high physical skill activities. As long as you realize this is what the book is about, then it really is worth reading and makes great points. What is off-putting and should be ignored though is Coyle’s claim, typified in the subtitle ‘unlocking the secret of skill in maths, art, music, sport and just about everything’ that this is a universal panacea. Sadly, it isn’t.

Paperback:  
Using these links earns us commission at no cost to you   
Review by Brian Clegg

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on...