Skip to main content

L.A. Math by James D. Stein ****

It has always seemed that it would be a great idea to write fiction which managed to painlessly get across ideas in science or mathematics, but usually the outcome of attempting to do this is something distinctly worthy that lacks any entertainment or effectiveness as a narrative. 

In L.A. Math, James Stein has managed the closest approximation to getting it just right I've yet to see. The stories work as detective tales, but the denouement relies not on sophisticated detection but on mathematical deduction. The style is quite old-fashioned - I'd liken it to a cross between P. G. Wodehouse and the classic American crime writer Ellery Queen - but I don't see this as a bad thing. The storylines might not be soul-searching literary fiction, but they are entertaining and engaging tales. The main character, Freddy Carmichael (we're already getting that Wodehouse vibe) is a detective, but struggles with solving cases where maths features strongly. Luckily, though, his slob of a landlord and housemate, Pete Lennox, has an incisive mathematical mind and helps Freddy out when he's at a loss.

Admittedly no one is going to read this book and become a maths star, but there's always a pleasure in having a chance to think through the mathematical puzzle and take on the detective. 

In this respect, I thought the first story was disappointing, as it's not possible to conclusively come to the same result as the detective. It's one of those 'eliminate combinations' logic problems; we are trying to work out who a dubious contact is meeting. We are first told 'If he doesn't meet Hazlitt, he is meeting Burns', but later told this is 'totally wrong'. Our detective assumes that this statement being totally wrong means that the suspect is meeting neither Hazlitt nor Burns. But all that's required for the statement to be totally wrong is that if the suspect doesn't meet Hazlitt he doesn't meet Burns either. It still leaves open the possibilities that the suspect does meet only Hazlitt or he does meet both of them. This might seem like nit-picking, but the whole point of an exercise like this is that it has to work to get the point across.

However, that is a one-off and the rest of the crime puzzles provide both entertainment and the chance to learn a few maths tricks, and in each case there's an appendix to dig into the topic in a little more depth, if you're that kind of a person. (I admit it. I'm that kind of a person.) Fun for any crime-fiction lover who fancies a spot of mathematical adventuring, or vice versa.


Hardback 

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

Comments

Popular posts from this blog

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

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