Skip to main content

How we feel – Giovanni Frazzetto ****

The format in this book is that we look at one emotion (anger, anxiety, love and others) per chapter, and for each one author Giovanni Frazzetto relates a (sometimes quite personal) story from his own life where he experienced the emotion. He then goes on to tell us how much me know about what’s going on inside our brains when we experience each emotion, and why each emotion has evolved.
The limits to our understanding of emotions are nurmerous. Sometimes the problem is that any study of emotions carried out in a lab will inevitably lack realism; sometimes our understanding of a particular emotion is based only on aggregate data collected from a large number of brain scans, never the same as any one individual’s experience; sometimes we’re unable to determine how much genetics accounts for the existence and expression of emotions, as against social factors or an individual’s personal history.
I enjoyed the book a great deal, mostly due to the fact that I finished feeling that I had learned a lot effortlessly – what’s great is that the science Giovanni Frazzetto discusses is in amongst engaging stories from his own life, and his expressive style of writing is very enjoyable to read.
What I also liked was the regular emphasis on the fact that, when it comes to understanding emotions and ourselves, we shouldn’t look to science as self help, and we shouldn’t expect science to be able to change how we feel. Reflection, poetry, and trial and error as we go through life dealing with emotions are much better here, the author says. Reading the book, it always felt like the author was speaking of the science in its proper place. For this, and the other reasons given above, I’d certainly recommend this title.

Hardback 

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

Comments

Popular posts from this blog

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...

In Seach of Sea Dragons - Matthew Myerscough ****

It's common advice to would-be authors of narrative non-fiction to open with something dramatic - Matthew Myerscough certainly does this with the story of his being trapped under an avalanche on Snowdon (while his girlfriend, also carried away remains on top of the snow unhurt). It certainly is dramatic, but seemed entirely disconnected from the reason I got the book, which was to read about fossil collecting.  Luckily, though, in the second chapter we get into a more conventional 'how I got interested in fossils as a boy'. Having recently reviewed Patrick Moore's autobiography and noting that astronomy was one of the few sciences where amateurs can still make a contribution, it came to mind that palaeontology is another - Myerscough is a civil engineer by trade, but just as amateur astronomers can find new details in the skies, so amateur fossil hunters have been searching for these relics for centuries. When I give talks in junior schools, the two topics that guarant...

Robot-Proof - Vivienne Ming ****

As Vivienne Ming makes apparent, there seem largely to be two views of AI's pros and cons, both of which are almost certainly wrong. It's either doom-saying 'It'll destroy life as we know it' or Pollyanna-ish 'It'll do all the boring work and we can all be wonderfully creative and live lives of leisure.' Instead, Ming gives us a clear analysis of the likely trajectory for the workplace, particularly for the IT industry. She describes three 'equally flawed, intellectually lazy strategies' to deal with the impact of AI. The first is substitution and deprofessionalisation, using AI to allow cheaper 'AI-augmented technicians' to replace more expensive professionals, producing more low wage jobs and fewer mid-range. This does save money but leaves a company at risk of being easily outcompeted. The second is what Ming describes as the '"A-Player" Hunger Games', the approach favoured by Silicon Valley. This sees the growing rif...