Skip to main content

Time Machine Tales - Paul Nahin ***

This book has the feel of two different books that have been shoehorned together - which isn't entirely surprising, as the author tells us that he has combined a simplified version of his earlier title Time Machines with material on time travel in philosophy and science fiction.

I expected to find the science fiction part more interesting, as I've read far too many books on the physics of time travel, but it was actually the other way round. By reducing the maths content of his earlier book, Paul Nahin has made the physics of time travel bits significantly more approachable (there are some pages full of equations, but they're nowhere near as scary as they may appear at a glance). It'd probably help to have physics and maths A-levels, but it certainly doesn't require an undergraduate training. There is plenty here that I have never seen presented in such an effective way for that kind technical-end popular audience, and it's worth buying the book for that alone.

By contrast, the fiction-based parts don't work so well. This is odd, as Nahin includes as appendices two published science fiction stories he wrote in the 70s, which are both very readable, if a little stiff by modern standards. He knows how fiction works. Yet what's missing from the sections on the science fiction approach to time travel is any sense of narrative - we are overwhelmed with example after example (which require repeated checking of the footnotes) of every tiny variant in the portrayal of time travel - it's a factual overload, where a lot fewer examples with more detail and exploration of what's behind them might have worked far better.

I was also a little horrified by the grey-background end sections of each chapter, which ask the reader questions, supposedly to help them probe their understanding of what has come before, in what felt a very condescending, back to school, style. These might work for some, but I hated them.

The good news, then, is that you get two books for the price of one, and the physics of time travel one is really interesting, but as a single entity it didn't work well for me.


Paperback:  

Kindle 
Using these links earns us commission at no cost to you


Review by Brian Clegg

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

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

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