WeatherNext 2: Our most advanced weather forecasting model

For folks who are interested, I suggest checking out "The weather machine: a journey inside the forecast" by Andrew Blum[0]. It's a great read into the history of weather forecasting pre-Covid.

[0]: https://search.worldcat.org/title/1153659005

Sounds interesting! I was listening to the 5-minute audiobook preview and it starts right up my alley, but then devolves into meta chatter about how the author wrote this other book about the people that built the internet, how they learn the most by touching the machines and talking to the creators (as if you learn something about meteorology from walking up to a weather server). 'Must just be the intro' I thought, but then one review of the five that I found says (translated) "This book talks about people who deal with meteorology, their age, their physical appearance, their biography, their clothes, the meal he took with them. It describes places where observatories are located. It does not explain the weather phenomena or how to predict them."

Many nonfiction books have it to some extent and it's usually fine (like 5% of the content, either relevant or easy to pass into one ear and out the other), but this sounds like it takes up a good chunk of the book with who's-whos and (former) meteorological celebrities

What's your take on this? Does it spend more than, say, 20% talking about the people as compared to the content matter about weather forecast mechanisms and innovations?