Skip to main content

Catastrophes! – David Prothero ****

There is something interesting about the capacity of words on a page to transport you to another time and place, to evoke such strong emotions, and to draw you in completely and make you forget about what’s going on around you.
This is what happens on many occasions throughout this book with the dramatic eye-witness accounts of earthquakes, tsunamis, hurricanes and other natural disasters. We relive from the perspective of those who were there at the time some of the worst natural disasters ever to have hit us. These accounts are powerful and harrowing, and it’s impossible not to become fully immersed in them.
Possibly the most powerful account is that of Charles Davy, living in Lisbon during the 1755 earthquake that destroyed the city. It is difficult to imagine what it must have been like to witness such a huge amount of destruction and chaos among those living in the city at the time. As in some of the other events that we look at in the book, it’s the death tolls that are most shocking. Between 60,000 and 100,000 people died in the 1755 Lisbon quake (with tens of thousands beyond the city also losing their lives). In the Indian Ocean tsunami of Boxing Day, 2004, the figure was 250,000, with millions also misplaced. It’s difficult to get your head around these numbers.
Each kind of extreme geologic or weather event – we also look at landslides, floods and volcano eruptions, among others – is given a chapter of its own in the book. In each chapter, after reading accounts of specific disasters, we go on to look in some detail at the science behind the phenomena, and touch on issues around predicting disasters and planning for them. The horrific accounts of particular disasters really make you want to read these sections to understand their physical causes, and they emphasise how important it is we are well-prepared for future disasters.
One theme running through the book is our powerlessness in the face of these extreme events. Prediction is difficult and sometimes impossible, author Donald Prothero explains (and this is something the book rightly argues the public need to appreciate to a greater extent). As for planning for disasters, there seem to be two big issues. Firstly, where good planning is possible, sometimes governments have been unwilling to take the necessary steps to protect their citizens. Second, even where we do try to mitigate the effects of disasters, the measures we choose are often counter-productive – levees, for example, may contain flooding in a particular region but they often concentrate flooding downstream.
As a combination of dramatic, personal accounts of recent and historic catastrophes, the science behind these disasters, and other surrounding issues, this is probably as good an introduction to natural disasters as you’re likely to find. You’ll be left with a good appreciation of the causes of these extreme events and of the power of nature and, perhaps most importantly, an understanding of the impact these catastrophes can have on human beings.

Hardback:  

Kindle:  
Using these links earns us commission at no cost to you
Review by Matt Chorley

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