Skip to main content

Ten Billion Tomorrows - Brian Clegg ****

There was a time, long before the days of blockbuster sci-fi movies, when anyone professing an interest in science fiction – or who had even heard of the genre – was likely to be a science geek. These days it’s different. Everyone has heard of science fiction, and even people who automatically think ‘all science is boring’ may count themselves as sci-fi fans. This translates into a huge opportunity for science communicators. After all, how can a science book be boring if it uses ideas from science fiction as a springboard? Brian Clegg has already used this approach on two of science fiction’s best known themes: time travel (How to Build a Time Machine) and interstellar travel (Final Frontier). In his latest book he applies the same logic to a whole range of other sci-fi tropes, from robots and ray guns to clones and cloaking devices.

If the book has a recurring message, it’s that real-world technology is less impressive than its sci-fi counterpart. Present-day quantum teleportation may do pretty much the same thing as a Star Trek transporter, but it does it on approximately 1028 (ten thousand trillion trillion) fewer atoms. Modern computers may have voice synthesisers that sound as good as HAL 9000 in 2001: A Space Odyssey, but they don’t have anything like Hal’s deductive or conversational powers. The security hologram on your credit card is, all things considered, not in the same league as the holodeck in Star Trek: The Next Generation.

Of course, there’s no reason why sci-fi technology should be a feasible proposition in the real world, either now or at any time in the future. As Brian Clegg points out in the book’s first chapter: ‘Science fiction does not set out to predict the future – instead it’s about asking “What if?” for all kinds of scenarios. It doesn’t matter if those possible futures are likely to happen or not, as long as they are interesting.’ In light of this, the surprising thing is not that real-world counterparts fall short of sci-fi expectations, but that real-world counterparts exist at all.

Ten Billion Tomorrows is essentially a book about science, not science fiction, and the author doesn’t let himself get bogged down in sci-fi geekiness. Most of the chapters are focused on a well-known sci-fi concept – something that is so familiar, even to the casual movie-goer or TV viewer, that it barely needs to be described before plunging into the – usually much less familiar – scientific reality behind it. A notable exception is Chapter 13, which deals with trips to the Moon. In this case it’s the reality – Project Apollo – that is so familiar it hardly needs to be described, while the preceding centuries of fictional lunar voyages are almost forgotten. Yet these make interesting reading, if only because they never quite managed to get it right – even in the 1950s, when all the scientific groundwork for Apollo was already in place.

As the title suggests, the potential scope of this book is enormous. It’s inevitable, therefore, that some readers are going to spot omissions they feel really should have been included (a point the author acknowledges right at the start). At the same time, the book covers so much ground that everyone will find something new in it, no matter how much of a sci-fi fan or science geek they are. Brian Clegg’s books are always enjoyable and informative to read, but this one has the added attraction that it flits so quickly from one subject to another that you never quite know what’s coming next. If there’s such a thing as an ‘edge of the seat’ popular science book, this is it!


Hardback 

Kindle 
Using these links earns us commission at no cost to you
Review by Andrew May
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

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...