Skip to main content

Magical Mathematics – Persi Diaconis & Ron Graham ***

This is an oddity of a popular maths book in that the approachable bits of the book aren’t, on the whole, about maths but about magic. Magic is a strange topic – for me, certainly, it has a fascination. When I was at school I briefly flirted with the school’s magical society, but in the end I hadn’t the patience to practice the tricks over and over again until they were slick enough to be worth watching. I wanted instant magic that didn’t require sleight of hand ability. The other interesting thing about magic as a topic is that we seem, mostly, to have lost patience with the traditional forms. On the TV show Britain’s Got Talent, magicians mostly don’t fare well as the audience and judges don’t have the patience to sit through the build. We love Derren Brown’s dramatic showmanship, but not traditional tricks. This means that Persi Diaconis and Ron Graham have a potentially difficult audience.
Magical Mathematics really has three different threads interwoven. There’s biographical information about magicians (this is the smallest part). There are details of how to do tricks. And there’s the maths behind the tricks. These are actual tricks which at first sight should have appealed to my young self because they are worked by mathematics – the magician need have no physical dexterity. This sounds horribly like the kind of recreational maths (you know, magic squares and the like) that mathematicians get all excited about but for most people cause big yawns. However, when you look at some of these tricks in terms of the effect, they are very impressive. I particularly like one where five spectators each cut a pack of cards in turn, then take a card each. They are asked to do a simple thing (everyone with a red card stands up), and the magician then tells each of them which card they are holding. That really is impressive.
Of course there’s no gain without pain, and in the case of this trick, though there is no dexterity required, you do have to remember (or otherwise access) quite a lot of information. Even so it’s a great trick, and the maths behind it, on de Bruijn sequences (don’t ask) is also really interesting, including some real world applications of the mathematical structure that’s used. This is by far the most engaging bit of the book – but even here, the maths isn’t particularly well explained. I didn’t really get the first explanation and it was only because there’s a second chapter dedicated to the applications that I grasped what was going on. It’s not complicated, it’s just that the explanation isn’t particularly well written.
Other sections of the book proved less interesting. The tricks were not so impressive or the maths was obscure, hard to follow and, frankly, more than a little dull. It got even worse when juggling was brought into the mix, something that, along with mimes, should have been banished from the world many years ago. Only jugglers appreciate juggling.
The underlying thesis, that you can do real, entertaining magic driven by maths was interesting (though I wish it hadn’t concentrated so much on card magic, which is one of the less appealing aspects of the business). The idea of combining explanations of tricks with info on the maths was good too. But overall the book (and I’ve no idea why it’s in a near-coffee table format) didn’t really work for me.

Hardback:  

Kindle:  
Review by Brian Clegg

Comments

Popular posts from this blog

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

Nanotechnology - Rahul Rao ****

There was a time when nanotechnology was both going to transform the world and wipe us out - a similar position to our view of AI today. On the positive transformation side there was K. Eric Drexler's visions in the 1986 Engines of Creation. Arguably as much science fiction as engineering possibilities, it predicted the ability to use vast armies of assemblers to put objects together from individual atoms.  On the negative side was the vision of grey goo, out of control nanotechnology consuming all in its path as it made more and more copies of itself. In 2003, for instance, the then Prince Charles made the headlines  when newspapers reported ‘The prince has raised the spectre of the “grey goo” catastrophe in which sub-microscopic machines designed to share intelligence and replicate themselves take over and devour the planet.’ These days the expectations have been eased down a notch or two. Where nanotechnology has succeeded, it has been with the likes of atom-thick mat...