Skip to main content

The Scientific Attitude - Lee McIntyre ****

Like many with a science background, I generally struggle to take philosophy of science seriously - it can too inward-looking and generally more fond of using impenetrably big words than having any true meaning. However, Lee McIntyre manages to make his take on the scientific method and the demarcation between science and either non-science or pseudoscience (we'll come back to that split) genuinely interesting.

Most of us come across the idea of the scientific method - the approach taken by scientists that gives science that 'special sauce' that makes it so good at doing what it does. Rather like the way that some physicists like to say that time doesn’t exist (until it’s dinner time), philosophers of science like to say the scientific method doesn’t exist - but then can’t help but acting as if it does. I think this is because they (and many scientists) want 'the scientific method ‘ to be a step-by-step series of rules, but Lee McIntyre makes it clear it’s something more like ‘Empirical evidence is key, and if evidence contradicts our theory then we change the theory.’ He calls this the 'scientific attitude' - but for me that's splitting hairs (I suppose that's what philosophers are for): it is a particular kind of method, based on principles rather than rules.

For the non-philosopher, McIntyre spends an inordinately long time trying to pin down whether this approach should be a necessary, sufficient or necessary and sufficient way of demarcating science from either non-science or pseudoscience. The distinction between the two of these opposing categories is whether we are merely trying to distinguish science from 'fake science' (e.g. climate change denial or intelligent design) or from legitimate disciplines which are not and never will be science, such as literature or music. Deciding demarcation is perhaps more interesting to insiders - the rest of us really just want to stop the pseudo-scientists and to get the 'soft sciences' onto a better scientific basis (give them more of a scientific attitude, McIntyre might say). 

This latter is a point the book addresses at some length, as social science areas such as psychology, anthropology, sociology and economics use the tools of science but do not yet always do so with a properly scientific attitude. McIntyre interestingly suggests that these fields could model themselves on medicine, which went from being pretty much a pseudoscience to a true science relatively recently.

There is a lot of good stuff here, but it could have been better. There is too much angels-on-a-pinhead worrying about demarcation, where we could have done with a lot more examples both from pseudoscience and the social sciences (I'd have liked to see some more detailed economics examples, for example). The coverage was too high level - it's the stories of specifics that engage us. Even so, as someone who generally struggles to take much philosophy of science seriously, this book interested me and helped me think a little more about what science is, how we should defend it against pseudoscience and how we should improve the near-science fields such as psychology and economics.
Hardback 

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

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

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...