Skip to main content

The Milky Way - Moiya McTier ****

For some reason, our home galaxy has relatively light coverage in popular science, so it was good to read Moiya McTier's book last year (less good to have forgetten about it until now - this is probably due to the aversion mentioned at the end of the review).

After an introductory chapter, we start by looking at early ideas and myths about the sky pattern referred to most often now as the Milky Way, long before it was realised that this was our galaxy. We are then taken through the Milky Way's formation (and along with that information on stars and other components that go together to make up a galaxy) and McTier goes on to do everything from pull apart Star Trek's dodgy navigational coordinates to what remain mysteries to current science. (Unusually for a simplifying popular science book, we do hear a bit about alternatives to dark matter, though McTier does dismiss MOND using arguments that are weaker than those that could be used to dismiss dark matter particles.)

So far, so good. One thing that it is essential to cover is the subtitle. The second word is not 'biography', but 'autobiography'. The book is written from the viewpoint of the Milky Way as if it were a conscious entity. I must applaud this in the sense that it's a different way of looking at astronomy/astrophysics. Any book of this sort benefits from taking a different approach, because mostly it will have been done before. But.

For me, personally, the approach was one where I really had to suppress the cringe reflex. The first chapter begins 'Take a look around you, human. What do you see?.. Everything you've ever seen or touched is part of me. Yes, even you, you vain, filthy animal.' I don't know why, but this does feel ever so slightly condescending for an adult audience. And it's a bit odd - given we are effectively part of the Milky Way in terms of our constituents, why would it call us filthy? But then, on the whole, galaxies don't call people anything.

Anthropomorphising is, of course, an age-old technique. I used to watch a TV show called Tales of the Riverbank when I was four that featured, for instance, a talking guinea pig and loved it. But while I accept the originality of the approach as popular science, I still had to fight down my aversion as an adult. Perhaps the main potential problem in non-fiction is where to draw the line between the fiction of the talking galaxy and the reality of the science. For example, McTier's galaxy is quite boastful. It comments 'I am the greatest galaxy who has ever lived.' But the Milky Way is neither the biggest galaxy nor does it contain the most stars, making this a dubious boast at best.

As long as I had this tendency under control, there was plenty to enjoy here - and that's why I'm giving the book four stars. But I can't ignore it, nor do I think that it will work for every reader. But if you won't be put off by the approach, this is an excellent book on an essential topic.

Paperback:   
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

Comments

Popular posts from this blog

Mathematics with Love – Mary Stopes-Roe *****

Admittedly it’s early days (this review is written in January), but this, for me, is the surprise hit of the year so far! I approached this book with trepidation, but found it absolutely delightful. It is described on the cover as the “courtship correspondence of Barnes Wallis, inventor of the bouncing bomb”, and contains a series of letters between Wallis and his cousin and eventual wife Molly Bloxham, along with some useful annotation by their daughter, Mary. The courtship itself is not without difficulties, as Wallis was 18 years older than the 17-year-old Molly at the start of the correspondence, and her father, not surprisingly, wasn’t too pleased about the interest of such an elderly suitor, but that isn’t the only reason the letters are interesting – it’s also because of maths, and Wallis’s position in the UK as the engineering hero of the Second World War. (Incidentally, it seemed very strange to see letters addressed to “Barnes” – I had always assumed Barnes Wallis was a ...

Data Empire - Roopika Risam ****

The central thesis presented by Roopika Risam is that information gives us (and particularly countries) the power to organise, control and dominate others. Although I have a couple of issues with the presentation, this is a genuinely interesting trip through the history of our use of stored information from the earliest tallies to the latest information technology. I loved a quote from Lisa Gitelman that data is is always 'cooked' so 'raw data is an oxymoron'. This neatly underlines Risam's thesis that data and information are not neutral facts, but rather tools that (like everything from fire to electronics) can be used for good or evil. As we are taken through the historical context, it can sometimes be a little difficult to judge whether Risam regards a particular example as bad or good, even when the outcome is disastrous. One thing I didn't like too much is the adherence to a popular science writing approach that has got distinctly hackneyed: opening chapte...

Andrew Jaffe - Five way interview

Andrew Jaffe is professor of astrophysics and cosmology at Imperial College, London and director of the Imperial Centre for Inference and Cosmology. His new book is The Random Universe. Why science? I’ve always been interested in science, in particular in  astronomy, astrophysics, and space. One of my earliest memories - back in nursery school in New Jersey, I think - was watching one of the moon launches. I wanted that excitement to be part of my life! I never got to be an astronaut, but I did get to be part of the Planck Satellite team, and was privileged to be able to travel to the ESA Spaceport in French Guiana to watch the launch.  In between, I was lucky enough to have a supportive family, get a good education, and find inspiring teachers, mentors, and collaborators. They helped me model the universe, and helped me learn how to refine those models in the face of experimental and observational evidence. That is, they taught me to be a scientist. Why this book? The Random...