You wait years for a book on the interpretations of quantum theory and then they appear in droves. In reality though, it's a good thing - each of them has brought its own slant and approach, and never more so than in  Einstein's Unfinished Revolution from theoretical physicist Lee Smolin. Although Smolin takes us on a tour of the best-known interpretations, he sets out his intention from the beginning - he is a realist and wants an interpretation that incorporates realism. That might not seem much of an ask - surely everyone in science wants realism? - until you realise that the long-prevailing approach, the Copenhagen interpretation is anti-realist. This is because we're dealing with a particularly theoretical physics view of the world. It's not that those who have held the Copenhagen interpretation don't think the world as a whole is real. Rather that the requirement that, say, a quantum particle has no location, just probabilities, until it interacts with...

Like many with a science background, I generally struggle to take philosophy of science seriously - it can too inward-looking and generally more fond of using impenetrably big words than having any true meaning. However, Lee McIntyre manages to make his take on the scientific method and the demarcation between science and either non-science or pseudoscience (we'll come back to that split) genuinely interesting. Most of us come across the idea of the scientific method - the approach taken by scientists that gives science that 'special sauce' that makes it so good at doing what it does. Rather like the way that some physicists like to say that time doesn’t exist (until it’s dinner time), philosophers of science like to say the scientific method doesn’t exist - but then can’t help but acting as if it does. I think this is because they (and many scientists) want 'the scientific method ‘ to be a step-by-step series of rules, but Lee McIntyre makes it clear it’s som...

Although a review should largely be about the content of a book - and we'll get onto that - sometimes, the format it is presented in can have such an impact that this comes to the fore. Will AI Replace Us? falls into this category as part of Thames & Hudson's The Big Idea series which makes use of 'Quick recognition text hierarchy'. Throughout the book there are four different font sizes used. The idea is that you can read the biggest two sizes to get an overview in about half an hour, add in the next size down for an hour's quick read, or go the whole hog for a two-hour in-depth read. It's an interesting concept, but the execution is horrible. The designer seems to have no idea how book pages should be laid out. The text is chunky sans serif - hard on the eyes on paper - and has far too little white space, getting uncomfortably close to the edge of the page and looking like it has been thrown in, rather than carefully set. To make matters worse, the...

John Gribbin was described as 'one of the finest and most prolific writers of popular science around' by the Spectator. John gained a PhD from the Institute of Astronomy in Cambridge (then under the leadership of Fred Hoyle) before working as a science journalist for Nature and later New Scientist. He is the author of a number of bestselling popular science books, including In Search of Schrödinger’s Cat , In Search of the Multiverse, Science: A History and Computing with Quantum Cats . He is a Visiting Fellow at the University of Sussex. His latest title is  Six Impossible Things . Why science?  I grew up wanting to be a science fiction writer, inspired by Astounding magazine and the works of Arthur Clarke and Isaac Asimov.  When I realised there was no chance of making a living this way, I turned to science fact.  But I have always been especially interested in science fact that sounds like science fiction. Why this book? This book ( Six Impossible Things )...

So much has been written about the charismatic twentieth century physicist Richard Feynman that it's hard to think of a book about him presenting anything new - so Jörg Resag needs to be congratulated for achieving just that. What's more, it's an excellent book for a particular audience - the only reason I'm giving it three stars is that this is quite a narrow audience... but for them it deserves four. Feynman and his Physics contains relatively little biographical material: Resag makes it clear from his introduction that this isn't the main thrust of the book. What there is serves as context for Feynman's work in physics. I'd almost wish Resag had not bothered, as without a bit more depth, biography can seem a little tedious, but there was nothing tedious about Feynman's life. (There were also one or two contextual details, such as the now discarded suggestion that Wheeler devised the term 'black hole', which could do with updating.) ...

I'm not the natural audience for this book. Game of Thrones l eaves me cold - and it's hard not to feel the influence of GoT (and a whole lot of Dune )   underneath a veneer of science fiction and the trappings of a South American drug cartel in the cod-medieval family power battles and chivalric details. There are even dragons (of a sort). I'd be really sad if the future did involve this sort of throwback feudalism. However, remarkably, despite this I found Luna: Moon Rising kept me engaged. The fact is that Ian McDonald can put together a good plot with intricate machinations, which is enough to carry the reader through what can be a bewildering collection of characters. The two page scene-setter saying who did what to whom at the start was useful, but I could have done with family trees for the main family as I was constantly forgetting who was who - especially easy as McDonald endows many families with characters with the same first initial (e.g. Ariel and Al...

Statistics have a huge impact on us - we are bombarded with them in the news, they are essential to medical trials, fundamental science, some court cases and far more. Yet statistics is also a subject than many struggle to deal with (especially when the coupled subject of probability rears its head). Most of us just aren't equipped to understand what we're being told, or to question it when the statistics are dodgy. What David Spiegelhalter does here is provide a very thorough introductory grounding in statistics without making use of mathematical formulae*. And it's remarkable. What will probably surprise some who have some training in statistics, particularly if (like mine) it's on the old side, is that probability doesn't come into the book until page 205. Spiegelhalter argues that as probability is the hardest aspect for us to get an intuitive feel for, this makes a lot of sense - and I think he's right. That doesn't mean that he doesn't cover...