Skip to main content

Nature via Nuture – Matt Ridley ****

For pretty well as long as people have pondered just what a human being is, the debate has raged over the relative contributions of biological content versus how we’re brought up. At its most trivial, as the advert puts it, “maybe she’s born with it; maybe it’s Maybelline.”
Throughout history the pendulum has swung side to side on preference from nature to nurture and back again. In this exploration of a crucial human conundrum Ridley points out, for example, how the study of twins has over the years been trumpeted as a wonderful breakthrough in understanding while at other times attempts to discredit the approach have been so venomous that it would seem the researchers had made some vast politically incorrect faux pas.
In covering the subject, Ridley manages to combine industrial strength research with a superb style that seems effortless, yet works superbly. The only reason the book doesn’t win the accolade of five stars is that, in the end, fascinating though the debate is, the conclusion is almost inevitably, “well, it’s a bit of both,” or “with everything else equal it’s mostly genetics, but miss out on nurture in a big way and the whole thing falls apart.” (That’s a little over-simplified – it’s probably best summed up when Ridley says “you need nature to absorb nurture.” At some levels this is a truism. You need nature’s contribution of a digestive system to literally absorb nurture. But it also sums up the thesis.)
Because of this repeated conclusion, by about half way through it’s easy to get a little fed up of the repeated cry of “it’s not one thing or the other.” It might well be true, but like all middle-of-the-roadness it lacks danger and excitement.
One other warning. If you are averse to animal experimentation, this is a book you might find unsettling. Even an unbiased observer can’t help but feel a bit queasy at a statement like this: “[scientists] discovered how to stain these columns [in the brain] different colours by injecting dyed amino acids into one eye. They were then able to see what happens when one eye is sewn shut.” More might have been made of the cost/benefit balance in the experiments that are constantly reported throughout the book.
However, that apart, and given the limitations of reality that make “it’s not one thing or the other” an almost inevitable conclusion (which Ridley can hardly be blamed for – I guess we ought to take it up with Ridley’s concept of the “Genome Organizing Device” (GOD for short)) the book does a great job. Only other very slight niggle is the use of numbered notes, which isn’t necessary for a popular science book, simply breaking up the eyeline without adding any benefit. It’s often done elsewhere to try to demonstrate spurious academic gravitas, something Ridley has no need for.
Altogether a superb addition to any popular science library, and you don’t need to have any real interest in biology to get a lot of out. After all – there’s one topic that we’re all interested in, and that’s ourselves.

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

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

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