Science in Seconds – Hazel Muir ***

I don’t know why it is, but publishers seem to love books that give you a whole host of bite-sized information on a subject. I can’t help but feel it’s a bit of a dinosaur as far as book styles go, because this is the kind of thing that the internet does so well. Books are better for narrative flow – no one wants to read 80,000 words from a web page – but if you just want a bite-sized intro to a subject, then the web is your oyster.

With that in mind, I really have nothing against Hazel Muir’s Science in Seconds. It is a well written collection of very short articles on all sorts of aspects of science. They are so short they tend to be more statement of facts than interesting stories, but they do the job well enough, with passable illustrations in a strange almost square pocket-sized shape. But I am stretched to see the point of it.

There are a couple of small moans. Inevitably when trying to cover all of science, some good bits will be missed out and others questioned – it’s the case with any ‘best of’ list. Interesting though hard drives, flash memory and optical storage are, I really don’t think they qualify to rank alongside the big bang, quantum theory and evolution. And if I’m going to be picky, there were a couple of small errors. The explanation of a how a plane’s wing generates lift is wrong in ascribing it primarily to the Bernoulli effect, and a piece on the planets tell us there are 8 in the text, but show 9 in the diagram – but mostly the content is absolutely fine, concise and factful. It’s just I keep coming back to ‘What’s the point’?

The press release tells us it is a ‘compact and portable format – a handy reference, ideal for students’. But would a student really buy this as a reference? It has far too little detail to help with a science course. And anyone with a smartphone can access much more detailed references at the touch of a button in an even better ‘compact and portable’ format. I feel like a real grouch here. Just call me Oscar. I genuinely think that Muir has done an excellent job. But to what end?

For those who like a bit of publishing speculation, it’s interesting that when I searched for the book on Amazon, this book came up – what appears to be exactly the same book, but written by a different author. What happened there, then?

Paperback:

Kindle:

Using these links earns us commission at no cost to you

Review by Brian Clegg

Comments

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

Deep Utopia - Nick Bostrom ***

This is one of the strangest sort-of popular science (or philosophy, or something or other) books I've ever read. If you can picture the impact of a cross between Douglas Hofstadter's Gödel Escher Bach and Gaileo's Two New Sciences (at least, its conversational structure), then thrown in a touch of David Foster Wallace's Infinite Jest , and you can get a feel for what the experience of reading it is like - bewildering with the feeling that there is something deep that you can never quite extract from it. Oxford philosopher Nick Bostrom is probably best known in popular science for his book Superintelligence in which he looked at the implications of having artificial intelligence (AI) that goes beyond human capabilities. In a sense, Deep Utopia is a sequel, picking out one aspect of this speculation: what life would be like for us if technology had solved all our existential problems, while (in the form of superintelligence) it had also taken away much of our appare

The Science of Weird Shit - Chris French ****

This is a highly engaging topic, but before diving into the content of the book I ought to mention two issues with its title. The first is that in this age of algorithmic censorship, the final word of the title can cause problems - the publisher had an issue with publicity emails being caught by spam filters, and I'm nervous enough about the contents of this review being pulled that I won't use it in the text. The other, more subtle problem is that it's only partially what the book is about - as the subtitle makes clear. Most of it doesn't concern the science of weird stuff, but rather the science of why many of us believe weird stuff. Those aren't the same things. Such is the joy of titles - often hard to get right. But what about the book itself? Considering it's covering what can be quite a showy field, it takes a measured approach (in fact, I'd say occasionally it's a bit too academic in feel, focused on relating facts with limited storytelling). Ho

Search This Blog