Skip to main content

What is the Name of This Book? - Raymond Smullyan ***

This classic recreational mathematics title, based on logic problems (thanks to Tim Harford for the recommendation) dates back to 1978, though it feels as if it might have been written forty years earlier from the type of humour it features, a feeling enhanced by the publisher's decision to reprint it by scanning an old edition, rather than resetting it.

There is some excellent material in here, some familiar, others still with a novel edge today. There are some basic challenges - for example we're looking at a picture and told 'Brothers and sisters have I none, but this man's son is my father's son' and asked whose picture it is, plus some catch-you-out puzzles such as asking in which country you'd bury the survivors of a plane that crashes right on the border of the US and Canada. But the meat and drink of the book is a whole slew of puzzles where we are required to deduce something from a set of logical statements.

Many of these puzzles are based on variants of a situation where there are two different kinds of people, one type who who always lies and the other type who always tells the truth (sometimes there is a third kind who might do either). These problems come in all sorts of variants featuring knights and knaves, Dracula, zombies and more, but the basic principles are aways the same, though the combinations become more and more convoluted. There are also a very similar feeling set of puzzles where a number of statements are put against each other, such as caskets with labels on that indicate between them where treasure is located. And we also get some consideration of the extremes where logical statements become meaningless, such as 'This statement is false.'

The truth/lie problems take up significantly more than half of the book, and after the first few I did find these too much like work rather than fun and couldn't be bothered to work them out. The fun in mathematical puzzles and diversions comes from novelty - when you are presented with one problem after another that is just a variant on the previous one, it becomes hard to retain much enthusiasm.

There were also some examples of logic problems that suffer very badly from the 'only one solution' fallacy, which can be a failing in mathematicians. One that's in the book involves a person who every day leaves his flat on (say) the 25th floor and every evening comes home but gets out on (say) the 23rd floor. Why? Raymond Smullyan gives us the traditional 'right' answer - but I've used this as an exercise in creativity sessions and had more than 20 right different, equally valid, right answers proposed. This is the difference between problems set in the real world and those in a mathematical world where you can have someone who 'always lies'.

There's also something of an oddity in that Smullyan repeatedly asks us through the book 'What is the name of this book?' I was expecting some kind of clever-clever response like 'What' (because 'What' is the name of this book), although the question mark at the end of the title rather precludes it being a statement. But Smullyan responds 'Well, the name of the book is "What is the Name of This Book?". Since that is what's printed on both the cover and the spine, it's hard to be surprised. I can only guess that, since the illustration has most of the title ripped off, that the original version didn't also have the full title printed on it. Otherwise it's a very limp ending.

Overall, there's some excellent material here, but if you stripped out the dated humour and the repetition of variants on the same problem, what's left is probably not much more than a long magazine article.

Paperback:

Using these links earns us commission at no cost to you

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on