Skip to main content

Genome – Matt Ridley *****

The output of the human genome project is a heavy duty subject – just understanding what’s involved in the process is not easy; interpreting the results operates at a wholedifferent level. As for writing about the human genome in an accessible and enjoyable way – this is a particularly drastic challenge.
Ridley not only succeeds but does so in a rather cute fashion. This is ‘an autobiography of a species in 23 chapters’. The number 23 is no random selection – it corresponds to the number of chromosome pairs we have, and Ridley picks out a gene to feature from each chromosome pair in each chapter.
This approach enables his book to be far reaching, looking at our relationship to other owners of the gene, from bacteria to great apes, spanning from the earliest forms of life to the genes that could be responsible for intelligence and language.
Evolutionary theory, biology’s great triumph, is put across very effectively alongside good background material on genetics, and of the many books around the human genome, this has to be one of the best.
Particularly attractive is Ridley’s style – effortlessly informative, yet light enough to almost always be enjoyable. If there’s anything to criticize it is an over use of something to the effect of “to go through all of this would bore you to tears, but I just want to show you this little bit because…” – but that is a very minor moan.
This reviewer has a physics background and expects biology-based popular science to often be an necessary chore rather than a pleasure – this is a definite exception!
It’s interesting to read it alongside Andrew Brown’s In the Beginning was the Worm.

Paperback 

Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

Math for English Majors - Ben Orlin *****

Ben Orlin makes the interesting observation that the majority of people give up on understanding maths at some point, from fractions or algebra all the way through to tensors. At that stage they either give up entirely or operate the maths mechanically without understanding what they are doing. In this light-hearted take, Orlin does a great job of taking on mathematical processes a step at a time, in part making parallels with the structure of language. Many popular maths books shy away from the actual mathematical representations, going instead for verbal approximations. Orlin doesn't do this, but makes use of those linguistic similes and different ways of looking at the processes involved to help understanding. He also includes self-admittedly awful (but entertaining) drawings and stories from his experience as a long-time maths teacher. To make those parallels, Orlin refers to numbers as nouns, operations as verbs (though he points out that there are some flaws in this simile) a

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

2040 (SF) - Pedro Domingos ****

This is in many ways an excellent SF satire - Pedro Domingos never forgets that part of his job as a fiction writer is to keep the reader engaged with the plot, and it's a fascinating one. There is one fly in the ointment in the form of a step into heavy-handed humour that takes away its believability - satire should push the boundaries but not become totally ludicrous. But because the rest of it is so good, I can forgive it. The setting is the 2040 US presidential election, where one of the candidates is an AI-powered robot. The AI is the important bit - the robot is just there to give it a more human presence. This is a timely idea in its own right, but it gives Domingos an opportunity not just to include some of the limits and possibilities of generative AI, but also to take a poke at the nature of Silicon Valley startups, and of IT mega-companies and their worryingly powerful (and potentially deranged) leaders. Domingos knows his stuff on AI as a professor of computer science w