Skip to main content

Ken Thompson – Four Way Interview

Dr Ken Thompson was for many years a lecturer in the Department of Animal and Plant Sciences at the University of Sheffield. He now writes and lectures on gardening and ecology. His latest book, Where Do Camels Belong? looks at the puzzling realities of ‘alien’ and ‘natural’ species.
Why science?
I’ve always loved discovering how the world works. There’s no thrill like finding out something new – and thinking that, just for a short while, no-one knows what you know. And without getting too philosophical about it, doing science gives life a purpose, and guarantees your own tiny bit of immortality.
Why this book?
For a long time, I was signed up to the orthodox view of alien species, i.e. ‘the only good alien is a dead alien’, so it’s probably best to ‘shoot first and ask questions later’. But then I found that the more I read, the less convincing the basic science seemed. In short, much of it read like post-hoc justification by people who had already decided what they thought, and just wanted the evidence to back them up. The book is my attempt to persuade you that you should ask the questions before you shoot.
What’s next?
I started out writing gardening books; trying to give people the actual evidence on everything from wildlife gardening to making compost. Recently, I’ve written a couple of popular science books, but maybe I’m due for another gardening book. One day I’d like to combine the two by persuading people that plants are not just vital, but also interesting, and – who knows – maybe even cool.
What’s exciting you at the moment?
I’m excited by the Conservation Evidence Project, which tries to collect together the scientific evidence that conservationists need. Whatever you’re trying to conserve, from bees to frogs, the Project will tell you what works, what doesn’t, and what hasn’t even been tried. I’m also excited – but not in a good way – by the way science is misused, or simply ignored. Politicians think they can cherry-pick the science that supports their prejudices, or worse still, ignore it altogether if it interferes with more important things, like getting re-elected. For a textbook example of how not to run an evidence-based policy, look no further than the recent badger cull. We have an Office for Budget Responsibility to stop the government telling too many lies about the economy; maybe we need an Office for Scientific Responsibility too?

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

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

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