Skip to main content

How Many Moons Does the Earth Have - Brian Clegg *****

Science and fun go together like… well, like things that don’t often go together at all.  So it’s no mean feat to find that Brian Clegg has managed to combine the two so skilfully in How Many Moons Does the Earth Have.  
The book is in the format of a pair of pub quizzes, but unless you’re drinking in a pub favoured by geeky academics in either Oxford or Cambridge (I would have just said Oxford, except that Brian went to the other place!) I would say that 99.99% of readers (I can say that confidently as no one can check it) will just read the book through like I did, to entertain and test themselves.   
Each question is cleverly laid out, in that each is posed in the form of a puzzle, problem or brainteaser, augmented with a few related ‘while you wait’ fun facts on a single page; giving the reader the space to test themselves.  Once done, the reader then turns the page to find the answer - complete with a detailed explanation.  This makes each question an interesting standalone read in its own right.  For those who want to go further, each answer also has a ‘read more’ suggestion of a book that expands on the topic.
The biggest problem with this book is being able to put it down, as each item is very short, it’s tempting to go for just one more… and another until you’re half-way through in a single sitting.  
The subjects are widespread, though all encompass science and technology; from the title question of the book (not as straightforward as it seems) to who invented the gramophone (ditto) - there are also some great picture and puzzle sections.  In fact the majority of the questions have a little twist or surprise that mean they continue to delight all the way through, and I must say that I don’t believe that I’ve ever uttered ‘Well I never’ so many times and in such a short space of time before.
If you like QI or the New Scientist books like Why Don’t a Penguin’s Feet Freeze, you’ll just love this one!  It’s a great book for anyone with an interest in science and at a really good price that makes it an excellent stocking filler.  I am certainly going to be buying a whole stack as Christmas presents for my Oxford chums.


Paperback 

Kindle 
Using these links earns us commission at no cost to you
Review by Pete Morris
Please note, this title is written by the editor of the Popular Science website. Our review is still an honest opinion – and we could hardly omit the book – but do want to make the connection clear.

Comments

Popular posts from this blog

Models of the Mind - Grace Lindsay *****

This is a remarkable book. When Ernest Rutherford made his infamous remark about science being either physics or stamp collecting, it was, of course, an exaggeration. Yet it was based on a point - biology in particular was primarily about collecting information on what happened rather than explaining at a fundamental level why it happened. This book shows how biologists, in collaboration with physicists, mathematicians and computer scientists, have moved on the science of the brain to model some of its underlying mechanisms. Grace Lindsay is careful to emphasise the very real difference between physical and biological problems. Most systems studied by physics are a lot simpler than biological systems, making it easier to make effective mathematical and computational models. But despite this, huge progress has been made drawing on tools and techniques developed for physics and computing to get a better picture of the mechanisms of the brain. In the book we see this from two directions

The Ten Equations that Rule the World - David Sumpter ****

David Sumpter makes it clear in this book that a couple of handfuls of equations have a huge influence on our everyday lives. I needed an equation too to give this book a star rating - I’ve never had one where there was such a divergence of feeling about it. I wanted to give it five stars for the exposition of the power and importance of these equations and just two stars for an aspect of the way that Sumpter did it. The fact that the outcome of applying my star balancing equation was four stars emphasises how good the content is. What we have here is ten key equations from applied mathematics. (Strictly, nine, as the tenth isn’t really an equation, it’s the programmer’s favourite ‘If… then…’ - though as a programmer I was always more an ‘If… then… else…’ fan.) Those equations range from the magnificent one behind Bayesian statistics and the predictive power of logistic regression to the method of determining confidence intervals and the kind of influencer matrix so beloved of social m

How to Read Numbers - Tom Chivers and David Chivers *****

This is one of my favourite kinds of book - it takes on the way statistics are presented to us, points out flaws and pitfalls, and gives clear guidance on how to do it better. The Chivers brothers' book isn't particularly new in doing this - for example, Michael Blastland and Andrew Dilnot did something similar in the excellent 2007 title The Tiger that Isn't - but it's good to have an up-to-date take on the subject, and How to Read Numbers gives us both some excellent new examples and highlights errors that are more common now. The relatively slim title (and that's a good thing) takes the reader through a whole host of things that can go wrong. So, for example, they explore the dangers of anecdotal evidence, tell of study samples that are too small or badly selected, explore the easily misunderstood meaning of 'statistical significance', consider confounders, effect size, absolute versus relative risk, rankings, cherry picking and more. This is all done i