[1] https://statisticalatlas.com/metro-area/District-of-Columbia...
Gigantic mega-corporations do enjoy increased growth and higher sales, don't they? Or am I mistaken?
OK? it still sucks even with headphones. Imagine the following scenario: You are in a meeting using your headphones as you suggest. A coworker a few seats away from you are in the same meeting using their own headsphones. When they talk you hear their real voice reach your ears first (this happens with even the best noise canceling headphones to some extent) and then you hear their voice with some delay from the meeting.
This is not about manners or headphones.
Better meeting software identifies when this is happening and they suppress the streamed voice of your coworker just for you.
In America we have to deal with school shootings, the latest religious group mandating the 10 commandments be put up or rainbows be taken down, irate parents mad that you failed their kid who didn't do work all semester and has severe behavioral problems no one is allowed to discipline. And now of course with AI, the students aren't doing their work, and if you call them out on it they call their parents, they sue, you get deposed and have to admit you can't 100% prove it's AI... so why bother? Who would ever want to grow up to be a teacher anymore?
So yeah, cut education, end up with AI students submitting AI papers to AI teachers. We have arrived.
The only question now is... what are we going to do about it?
That said if we took 20% of all working people are doing useful work, then can you guarantee not all research scientists are within that category?
And indeed there are different fields and the distributions of effectiveness may be incomparable.
I think the nature of scientific and mathematical research is interesting in that often "useless" findings can find surprising applications. Boolean algebra is an interesting example of this in that until computing came about, it seemed purely theoretical in nature and impactless almost by definition. Yet the implications of that work underpinned the design of computer processors and the information age as such.
This creates a quandary: we can say perhaps only 20% of work is relevant, but we don't necessarily know which 20% in advance.
Nature is usually 80/20. In other words, 80% of researchers probably might as well not exist.