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by skribbj 2415 days ago
I'm hopefully a future physicist and the first to defend its importance but this kind of argument seems quite bad faith to me.

"Physics-based industries are those that rely heavily on expertise in physics. These include oil and gas extraction, nuclear fuel processing, and various forms of manufacturing like fibre optics, lighting equipment, office machinery, cars, ships and armaments."

Oil extraction, gas, and ships. Really? Sure, I get it, these areas wouldn't be possible without prior physics research, and present physicists will create new economic opportunities in the future; but blindly inhereting these fields' economic signifiance to physics seems incorrect. In other news, mathematics worth more than 80% of EU economy - these industries include finance, business, engineering, computing, and entertainment.

1 comments

You say that, but an awful lot of people doing maths in industry are physicists - mathematicians are far more likely to stay in academia. One of my first jobs was writing trading algorithms in the early 2000s - I was a physics student, most of the dev team were physicists or chemists. We got a mathematician in to consult on some gnarly cluster analysis - but after a month he presented us a white paper that was very, very pretty, and described our problem mathematically very succinctly - but totally unusable as it wasn’t so much a solution as a beautifully defined problem.
But the point is you are not doing physics, you are at best tweaking some pre existing model.

I did it in the past while consulting for a major bank, I studied CS, not physics, and I haven't seen any applied physics in banks.

They hire young people studying physics because they are not scared of working "with numbers", but when you past 40 you're not scared of anything anymore and you'll find there a majority of people with a degree in economy, once you grasped the basics, you can do the job.

While the physics student hopes to be a real physicist someday in the future and stop working on trading models as soon as somethings better comes up.