The popular science and science fiction book review site
Subscribe to this blog
Follow by Email
Search This Blog
The Simpsons and their Mathematical Secrets – Simon Singh ****
Updated for paperback edition
Through the years we have had a whole slew of books dedicated to discovering the science or maths used in a fiction book, movie or TV show – think, for instance of The Physics of Star Trek or The Science of Middle Earth. And at first sight, Simon Singh’s new book (which he tells me has been brewing in his mind for a good few years) is more of the same, but in fact it takes rather a different approach. Where the other books look for the science etc. inherent in the world created in the storyline, Singh’s new title picks out the mathematics explicitly incorporated by the writers into the Simpsons (and in its companion show, Futurama, to which the final few chapters are dedicated).
I confess I haven’t much time for Futurama, but despite having always enjoyed the Simpsons, I hadn’t spotted the unusually high level of mathematical content, the result of several of the writers having maths, science or computer science backgrounds. Sometimes it manifests in just a passing reference – perhaps the title of a book glimpsed for a second, or something written on a blackboard in the background. At others the maths is central to the storyline.
In some ways, what should be a ‘best of both worlds’ crossover book that appeals to both Simpsons fans and maths nerds (publishers love crossover books) is in danger of being the opposite kind of product (I mean product in a mathematical sense – how else?), by being a book that only appeals to maths nerds who are also fans of the Simpsons. As I almost qualify for this, I was going to enjoy reading it anyway, but what saved it from being the mathematical equivalent of trainspotting (‘Did you know that in episode #382, the number 47 is referred to ironically as a square, even though everyone knows it isn’t, fnaar, fnaar!’*) was Singh’s indubitable writing skill and ability to bring in interesting asides and deviations.
Popular maths will always have a smaller audience than popular science for good reason, but if you have only the smallest interest in maths and some enjoyment of either the Simpsons or Futurama you should find this an excellent entertainment, and certainly a revelation when it comes to the lengths that the writers will go to get some little mathematical reference in.
* This isn’t a real example, but the sort of thing I mean
This is a very important little book ('little' isn't derogatory - it's just quite short and in a small format) - it gets to the heart of the problem with applying artificial intelligence techniques to large amounts of data and thinking that somehow this will result in wisdom.
Gary Smith as an economics professor who teaches statistics, understands numbers and, despite being a self-confessed computer addict, is well aware of the limitations of computer algorithms and big data. What he makes clear here is that we forget at our peril that computers do not understand the data that they process, and as a result are very susceptible to GIGO - garbage in, garbage out. Yet we are increasingly dependent on computer-made decisions coming out of black box algorithms which mine vast quantities of data to find correlations and use these to make predictions. What's wrong with this? We don't know how the algorithms are making their predictions - and the algorithms don't kn…
A new Marcus Chown book is always a treat - and this is like a box of chocolates: a collection of bite-sized delights as Chown presents us with 50 science facts that are strange and wonderful.
The title is a quote from William Blake's Auguries of Innocence: 'To see a World in a Grain of Sand, / And a Heaven in a Wild Flower, / Hold Infinity in the palm of your hand, / And Eternity in an hour.' It would seem particularly appropriate if this book were read on a mobile phone (so it would be literally in the palm), which could well be true for ebook users, as the short essays make excellent reading for a commute, or at bedtime. I found them distinctly moreish - making it difficult to put the book down as I read just one more. And perhaps another. Oh, and that next one looks really interesting...
Each of the 50 pieces has a title and a short introductory heading, which mostly give a feel for the topic. The very first of these, however, briefly baffled me: 'You are a third mus…
Occasionally you read a book and think 'I wish I'd thought of that.' This was my immediate reaction to Ryan North's How to Invent Everything. The central conceit manages to be both funny and inspiring as a framework for writing an 'everything you ever wanted to know about everything (and particularly science)' book.
What How to Invent Everything claims to be is a manual for users of a time machine (from some point in the future). Specifically it's a manual for dealing with the situation of the time machine going wrong and stranding the user in the past. At first it appears that it's going to tell you how to fix the broken time machine - but then admits this is impossible. Since you're stuck in the past, you might as well make the best of your surroundings, so the aim of the rest of the book is to give you the knowledge you need to build your own civilisation from scratch.
We start with a fun flow chart for working out just how far back in time you are…