Skip to main content

How to Predict the Unpredictable - William Poundstone ****

There's a certain kind of maths title that delights. It's not the kind of pure maths you'd find in an Ian Stewart book, where maths is an intricate, latticework puzzle like a net of spun sugar that need have no connection to the real world. No, this is maths as impure and dirty as it gets. It sneaks up behind us and takes us by surprise, because this is the maths at the interface with psychology - maths that often challenges our beliefs and understanding of the world. It can be both deeply satisfying and quite interesting in a QI fashion, all at the same time.

I suppose the classic of this field is Freakonomics, though I would also recommend The Tiger that Isn't and (in a modest way), my own Dice World. What William Poundstone does with great aplomb here is to unpick our dubious relationship with randomness. In the first half of the book he points out how we are particularly poor envisaging randomness, and how, as a result, if you understand how people get it wrong, it's possible to get an unexpected edge in everything from rock - paper - scissors to multiple choice questions. This all starts with a lovely description of the 'outguessing machine' an incredibly simple device that nonetheless is generally capable at beating humans at a guessing game.

The second part of the book is rather more tenuously linked by the idea of a 'hot hand' - the sport (and specifically basketball) delusion that people who are on a winning streak are more likely to succeed again - coupled with the gamblers' fallacy, which says that, for instance, after a run of black on a roulette wheel, red is more likely to come up. As Poundstone points out, these two apparently contradictory fallacies are actually linked, as the first is only applied in something involving human skill, while the second is reserved for mechanical outcomes. He shows how an understanding of these can help with football betting, property prices and the stock market.

I loved the book until well over half way through. Even in the apparently straightforward answer to 'how to outguess the lottery', Poundstone goes further than the traditional 'by using random selections, rather than human choice.' He isn't going over the boundary to say you can predict the outcome - that really is unpredictable - but rather how to maximise your winnings if you do win. Towards the end of the book, though the content got too specialist for me. There was too much on sports betting, which I have no interest in, and then on ways to beat the stock market, a section which is far too long and technically detailed for the general reader. It's a real shame that this section is used to end the book as it means the whole thing ends on quite a downer.

Don't get me wrong - the concept of beating the stock market is mind-boggling, as the market itself is the kind of chaotic system that isn't possible to forecast. But Poundstone shows how some measures, dependent on the inability of traders to overcome our ability to read patterns into randomness that isn't there, give a long term guidance on action.  And this would have been great if covered in five pages. But as the 36 page finale of the book it's a disappointment. 

So this is mostly a great book - do read it and be prepared to be delighted - but unless you are a sports better or play the markets be prepared for a little disappointment towards the end.


Paperback 

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

Comments

Popular posts from this blog

Luna: Moon Rising (SF) - Ian McDonald ****

I'm not the natural audience for this book. Game of Thrones l eaves me cold - and it's hard not to feel the influence of GoT (and a whole lot of Dune )   underneath a veneer of science fiction and the trappings of a South American drug cartel in the cod-medieval family power battles and chivalric details. There are even dragons (of a sort). I'd be really sad if the future did involve this sort of throwback feudalism. However, remarkably, despite this I found Luna: Moon Rising kept me engaged. The fact is that Ian McDonald can put together a good plot with intricate machinations, which is enough to carry the reader through what can be a bewildering collection of characters. The two page scene-setter saying who did what to whom at the start was useful, but I could have done with family trees for the main family as I was constantly forgetting who was who - especially easy as McDonald endows many families with characters with the same first initial (e.g. Ariel and Al...

Adventures of a Computational Explorer - Stephen Wolfram ***

Stephen Wolfram, the man behind the scientist's mathematical tool of choice, Mathematica, plus a whole host of other software products, including the uncanny Wolfram Alpha knowledge engine, is undoubtedly a genius of the first order. In this book, we get an uncensored excursion into the mind of genius - which is, without doubt, a fascinating prospect. The book consists of a collection of essays and speeches that Wolfram has produced over the last ten to fifteen years, covering an eclectic range of topics. Like all such collections, the result is something that lacks the coherence of a book with a narrative that runs through it, inevitably introducing a degree of repetition and a mix of interesting and not-so-interesting topics - but there's likely to be something to catch the attention anyone who is into computing or mathematics. One of the most interesting pieces is the opening one, where Wolfram describes being a consultant on the SF movie Arrival. He seems to hav...

E=mc2: A biography of the world’s most famous equation – David Bodanis *****

David Bodanis is a storyteller, and he fulfils this role with flair in E=mc2. The premise of the book is simple – Einstein himself has been biographed (biographised?) to death, but no one has picked out this most famous of equations, dusted it down and told us what it means, where it comes from and what it has delivered. Allegedly, Bodanis was inspired to write the book after hearing see an interview with actress Cameron Diaz in which she commented that she’d really like to know what that famous collection of letters was all about. Although the book had been around for a while already when this review was written (September 2005), it seemed a very apt moment to cover it, as the equation is, as I write, exactly 100 years old. So when better to have a biography? Bodanis starts off by telling us about the individual elements of the equation. What the different letters mean, where the equal sign comes from and so on. This is entertaining, though he seems to tire of the approach on...