Skip to main content

The Quantum Universe: everything that can happen does happen – Brian Cox & Jeff Forshaw ****

Brian Cox has picked up a lot of fans (and a few parodies) for his light and fluffy ‘here’s me standing on top of a mountain looking at the stars’ TV science shows – no doubt a fair number of them will rush out and buy his latest collaboration with Jeff Forshaw. They will be disappointed. So, I suspect, will a number of My Little Pony fans, as with its rainbow cover and glittery lettering it only needs a pink pony tail bookmark to complete the look.

The reason The Quantum Universe will disappoint is not because it is a bad book. It’s brilliant. But it is to Cox’s TV show what the Texas Chainsaw Massacre is to Toy Story. It’s a different beast altogether. As they did with their E=mc2 book, but even more so here, Cox and Forshaw take no prisoners and are prepared to delve deep into really hard-to-grasp aspects of quantum physics. This is the kind of gritty popular science writing that makes A Brief History of Time look like easy-peasy bedtime reading – so it really isn’t going to be for everyone, but for those who can keep going through a lot of hard mental work the rewards are great too.

More than anything, I wish this book had been available when I started my undergraduate course in physics. It would have been a superb primer to get the mind into the right way of thinking to deal with quantum physics. Using Feynman’s least action/sum over paths with ‘clocks’ representing phase, the authors take us into the basics of quantum physics, effectively deriving Heisenberg’s uncertainty principle from basic logic – wonderful.

They go on to describe electron orbitals, the mechanics of electronic devices, quantum electrodynamics, virtual particles in a vacuum and more with the same mix of heavy technical arguments, a little maths (though nowhere near as much as a physics textbook) and a lot of Feynman-style diagrams and logic.
The reason I think I would have benefited so much is that this book explains much more than an (certainly my) undergraduate course does. Not explaining why quantum physics does what it does – no one can do that. But explaining the powerful logic behind the science, laying the groundwork for the undergraduate to then be able to do the fancy maths and fling Hamiltonians around and such. It is very powerful in this respect and I would urge anyone about to start a physics degree (or in the early stages of one) to read it. I would also recommend it for someone who is just really interested in physics and is prepared to put a lot of work into reading it, probably revisiting some pages several times to get what Cox and Forshaw have in mind – because they don’t ease up very often.

What I can’t do, though, is recommend this as general popular science. It isn’t the kind of excellent introduction that gives you an understanding of what’s going on in quantum theory, a view of the mysteries and a broad understanding of what the topic is about. This book is just too hard core. I’d suggest that 90% plus of popular science readers shouldn’t touch it with the proverbial barge pole. If that sounds condescending, it isn’t meant to be. Good popular science can and does have a lot more content and thought provoking meat than a typical Brian Cox TV show – but this book goes so much further still than that, inevitably limiting its audience.

Paperback 

Kindle 
Using these links earns us commission at no cost to you
These articles will always be free - but if you'd like to support my online work, consider buying a virtual coffee:
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

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