Skip to main content

Dino Gangs - Josh Young ***

This is a book with an identity crisis. When I first saw the publicity material for it I assumed it was a children’s book. After all Dino Gangs is hardly an adult title. But no, it appears it is aimed at an adult audience. And then there’s the strange case of the author. The book cover is very clear there is one author, Josh Young. And in the ‘about the author’ section of the press release, there is also just one author. Dr Phil Currie. What? At the top of the press release the book is by ‘Dr Phil Currie & Josh Young.’ Totally confused. I turn to the copyright page as the definitive source, but the copyright belongs to ‘Atlantic Productions’, whoever they are.
The reason for all this confusion is that in many ways this isn’t a book at all. Atlantic Productions is a TV production company that made a documentary about the work of palaeontologist Phil Currie for the Discovery Channel. What we have here is an attempt to turn the script of the documentary into readable form. This comes through most painfully in Phil Currie’s contributions. Despite being labelled the author and/or co-author (except on the cover), we only ever see Phil Currie as the written equivalent of a talking head in a documentary. We keep seeing things like ‘”The whole world went a little crazy for a while,” Curry says.’ That present tense is the give away. After a while the recital of ‘Phil Currie says this’ and ‘Phil Curry thinks that’ becomes a trifle nauseating, like a sort of literary hero worship.
So the presentation is weird and more than a little off-putting, which is a shame, because at the heart of it there is a really good book trying to get out. Currie has an interesting theory that tarbosaurs, a particular type of tyranosaur, hunted in packs, rather than the way they have been traditionally portrayed as lone hunters, or more recently as scavengers.
Once we get the rather childish scene setting about how ‘dino hunters’ have to be able to live rough in tents, and a truly dull chapter that is just about the background of Currie and some of his contemporaries, there is a really interesting development of the group hunter concept, taking us through various analyses from how the animals could run (comparing legs with ostriches and humans among others), modern analogues (from komodo dragon to lion) and more. It was telling how well this part of the book works, where I suspect the author has been given a little more freedom, that at the end of one chapter I was left thinking ‘Hmm, but how intelligent were these dinosaurs?’ Then the next chapter… discusses the intelligence of these dinosaurs.
Overall, I couldn’t give the book more than three stars because the format has such a deleterious effect on it – but it’s a shame, because under the fake teeth smile of the TV documentary there is a really good book trying to get out. If it had been left to the author just to write a book, it could have been so much better. We would hopefully have seen rather more of the people who pop in briefly with ideas that oppose those of Dr Phil, for example – and would have had a much better journey. Even so, I think the book as it stands is worth persevering with. It’s a quaint oddity of what happens when TV people get too much control of a different format, but the subject matter is interesting enough to make it worth reading.

Hardback:  

Kindle:  
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

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