Skip to main content

Blink – Malcolm Gladwell ****

Malcolm Gladwell hit the big time with his previous book The Tipping Point. Now he’s done it again (though perhaps not to the same extent) with Blink. The premise of the book is very simple. We often make decisions very quickly – in a second or two. In some cases these decisions are good. In others they’re bad. And sometimes experts, after years of study, can become good at the ones the rest of us are bad at. Probably they do this by unconsciously selecting a small but significant part of the data we are presented with in any situation. That’s it. That’s the whole book, as far as significant content goes.
So how come it scores so highly? Because Gladwell does it so well. What makes the book are the stories, illustrating the different points. There’s no great wisdom here, nothing really new, but Gladwell’s presentation is so good that it’s an enjoyable book to read that feels as if it’s giving you something even when it does much. The stories that are used to illustrate the points are fresh and interesting, and that’s what makes all the difference. Oh, that and the fact that (like Tipping Point) it bucks the trend for ridiculously fat books that work better as doorstops than good reading (but seem to impress those who give out prizes – they must be good, they’re LONG). This book you can read on a rainy afternoon, and feel all the better for it.
There are a couple of omissions that are a shame. Gladwell doesn’t make enough about the fact, well known from creativity studies, that the assumptions we make get in the way of good instant decision making. It’s there in some of his examples, but not really brought out very well. We can train ourselves to watch out for assumptions and defuse them (this means slowing down, getting away from the instant, blink moment), but most of us plunge in with the assumptions.
The other, even more total omission is any reference to the fact that there are some types of decision we just aren’t programmed to handle, and which all of us are very bad at doing quickly. Most typical is any decision involving probability. Our brains just can’t cope with probability very well (this is why casinos and bookkeepers are so rich). If you have any doubts about this, check out the Ferraris & Goats problem, a snap decision that pretty well everyone gets wrong until they’ve applied lots of thought – even mathematical experts.
These omissions don’t get in the way of the fact this is a fun little book, driven largely by scientific research into the way we make quick decisions. Delightful reading.

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

Comments

Popular posts from this blog

Six Maths Essentials - Terence Tao *****

This is a book in the 'compact collection of science/maths essays' category beloved of publishers because they can charge hardback prices for fewer than 80 pages of text - but don't let that put you off, because it's excellent. Terence Tao introduces six areas of mathematics: numbers, algebra, geometry, probability, analysis and dynamics. Each of these is descriptive rather than practical (there are only a couple of school-level equations in sight), done in a way that gets to the heart of 'what's the point of this subject' with precision and a good level of storytelling. It's a shame in a way that analysis and dynamics form the final third of the book (apart from a short epilogue), because they don't work as well as the other sections. For the first four, practically everyone will have a vague idea of what they are and what they do - but Tao is then able to open our eyes to their wonders and power. Because Tao has to stay away from any detail of what...

To Think Like a Statistician - Bradley Efron ****

An old advert had the tag line 'it does what it says on the tin'. There's a vagueness about the title of this book that requires Bayes' theorem to work out whether it really does what it says on the cover. If you think this book will tell you how to think like a statistician, it's unlikely that you will be satisfied. But if you think it will tell you how a statistician thinks, it is much closer to being true. Sadly this makes the tag line I've seen 'Why you don’t need to be a statistician to think like one' entirely wrong. In the book, Bradley Efron gives us plenty of detail on how statisticians apply probability to try to understand better what is happening in the world. He makes a great point that his high school mathematical education consisted primarily of algebra, geometry and trigonometry. While these 'proved invaluable to my subsequent scientific studies' they hardly ever crop up in the news, where the one mathematical subject that does oc...

Bradley Efron - Five Way Interview

Bradley Efron is Max Stein Professor emeritus of Statistics and of Biomedical Data Science at Stanford University. He is the inventor of the bootstrap method for assessing statistical accuracy and has published extensively on the theory and practice of data analysis. He has served as president of the American Statistical Association and the Institute of Mathematical Statistics.  A MacArthur fellow, he is a member of the National Academy of Sciences and received the National Medal of Science in 2005. His remarkable contributions to his field were recognized again with the 2018 International Prize in Statistics, which noted his influence on 'statistical thinking in every way, including new pathways in how we communicate and teach statistics to all.' His latest book is To Think Like a Statistician . Why mathematics?   Abstract mathematics and I had an amicable divorce following my Caltech graduation. (I really wasn’t very good at it.) Statistics is a branch of applied mathematics...