Skip to main content

The Science of Repair - Gwen Ottinger ***

This is an odd one. Ignore the title that sounds like it describes what goes on in a household repair shop - Gwen Ottinger makes an important point about the way that the attempt to use science to support social justice - such as when a community is blighted by pollution from an oil well - can be both positive and negative. While it's true that science can be used to identify pollutants and risks, scientists' natural tendency to caution may make a risk seem less significant than it is - and there is a danger that only the science viewpoint prevails, where the experience of those living in bad conditions is important too. All too often, scientists can dismiss local knowledge. 

My old literary agent's first question when approached with a book idea was always 'is it a book or a magazine article?' I think this would be well applied here. Ottinger's point could have been well-made in a feature-length article, but there was an awful lot of repetition required to stretch out to a (short) book.

This is one of the reasons that I can't rate the book too highly, even though that central idea is a very important one. The inability of citizens to fight back against polluters seems particularly strong in the US (think Erin Brockowich) and they need all the help they can get. The other issue I had was the way the whole story is presented is through the painful lens of US academic obsession with identity politics and race. On the opening page we read 'Its authors, Jay Gunkelman and Marilyn Bardet, were white community activists' - it is totally irrelevant that they were white. 

There is also a lack of acknowledgement of a problem in recognising lived experience - humans are really terrible at distinguishing correlation from causality. Ottinger criticises scientists, for instance, for saying 'there is no evidence that X causes Y', but the alternative, which she seems to approve of, is on a par with witch finding. Historically, if there was a cluster of local illnesses or bad luck, it would be blamed on the local witch. Now it tends to be the phone mast or the power lines. It's natural for random events to cluster - but if we see a cluster of events we attribute causality to our local bugbear, whatever it may be. This doesn't mean there can't be a causal connection, but the reality is that without a rigorous scientific approach there will still be witches to blame. 

The reality is that many scientists are really bad at communicating with non-scientists, and I had hoped this book would give them guidance on how to get facts across to community activists in a way that's useful - but it doesn't. Ottinger is not providing an adequate solution to a very real problem. The subtitle is all about the way that believing in facts leads to better justice: but I'm not sure how this is addressed here.

Hardback:   
Kindle 
Using these links earns us commission at no cost to you
These articles will always be free - but if you'd like to support my online work, consider buying a virtual coffee or taking out a membership:
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

Comments

Popular posts from this blog

Beyond Belief - Helen Pearson *****

Apparently it comes as a surprise to many that medicine was not particularly scientific until the end of the twentieth century (to be honest, it's no surprise to me - we had a GP who used homeopathy in the 90s). Instead it was based on anecdotal guidance - the kind of thing that appeared to work. Evidence-based medicine has since improved the field, trying where possible to base decisions on evidence, ideally based on randomised controlled trials. The first part of Helen Pearson's book covers this well - though I think it's by far the least interesting part of what we discover. Instead what's truly fascinating is the rest of it, looking at a wide range of other fields where evidence was rarely properly used and that are only now starting to dip a toe in the water. These include social policy, policing, conservation, business and education. The main part of the book gives us examples of how bad these areas have been in terms of basing decisions on what's always been ...

Adventures of a Computational Explorer - Stephen Wolfram ***

Stephen Wolfram, the man behind the scientist's mathematical tool of choice, Mathematica, plus a whole host of other software products, including the uncanny Wolfram Alpha knowledge engine, is undoubtedly a genius of the first order. In this book, we get an uncensored excursion into the mind of genius - which is, without doubt, a fascinating prospect. The book consists of a collection of essays and speeches that Wolfram has produced over the last ten to fifteen years, covering an eclectic range of topics. Like all such collections, the result is something that lacks the coherence of a book with a narrative that runs through it, inevitably introducing a degree of repetition and a mix of interesting and not-so-interesting topics - but there's likely to be something to catch the attention anyone who is into computing or mathematics. One of the most interesting pieces is the opening one, where Wolfram describes being a consultant on the SF movie Arrival. He seems to hav...

The Random Universe - Andrew Jaffe *****

This is an absolutely fascinating book for anyone interested in the way that science really works, bearing in mind the difficulties of having to base our models and theories on induction. Andrew Jaffe introduces the difficulties we face when trying to take a scientific view because largely we are dependent on induction: predicting the future from what has previously been observed. He explores what probability is, the two key ways of looking at it (frequentist and Bayesian) and how scientists use (or misuse it) to work out the implications of their experiments for hypotheses. This is then expanded into looking at the nature of scientific models and the philosophy of science before heading out to entropy, quantum randomness and attempting to achieve meaningful cosmology with its potential dearth of evidence.  The topic might sound a little dry, but in fact Jaffe does it with good humour and a very readable style. For example, he uses measuring his daughter's height by making marks on...