Skip to main content

Cows in the Maze – Ian Stewart ****

When I was a teenager I delighted in Martin Gardner’s books like Mathematical Puzzles and Diversions, taken from his Scientific American columns. British mathematician Ian Stewart has taken over Gardner’s role and continues to amaze and boggle the mind with the possibilities of recreational maths in his latest collection.
For me it was rather a mixed bunch. The best were great fun – the worst would only really engage the sort of person who thinks calculating pi by hand is a form of entertainment. I think to some extent Stewart has a problem because Gardner had already picked off the really entertaining, truly amazing stuff, and Stewart is left with either more of the same, or things that aren’t so engaging. Even so it’s an enjoyable read for anyone who finds mathematical puzzles fun – just be prepared to skip over one or two bits.
In a few of the sections Stewart adopts a story-telling form, and these are the weakest, as he’s not a great fiction writer and the result is too whimsical and irritating. Having said that, his three part story approach to time travel is interesting, if rather limited, but would have been so much better without the H. G. Wells pastiche.
In many of his books, Stewart is excellent at explaining obscure maths to the general reader, but for this one I think he assumes just a bit too much knowledge, and his explanations (for example of the symmetry breaking in animal gaits) can be quite confusing. This was particularly unfortunate in his ‘interrogators fallacy’ section where he tries but fails to explain why some arguments used in trials don’t hold up statistically. This chapter needs totally re-writing.
Despite these concerns, there’s much to interest the recreational maths fan. I was delighted to see a piece on what he refers to as ‘bends’ but are what normal people call knots. He has to do this because it’s a classic case of mathematicians living in their own tiny and often irrelevant worlds – according to the standard mathematical definition, a knot is in an infinitely thin line and both ends of the line are joined up. That is not a knot, guys. But this piece by Stewart deals with the maths of real knots.
A mixed bag, then, but there’s enough really good stuff in here to allow it four stars and to suggest than any recreational maths enthusiasts would be mad not to add a copy to their bookshelves.

Paperback:  
Using these links earns us commission at no cost to you
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...