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this post was submitted on 28 Oct 2023
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To be fair, that is every lawyer.
I've been dealing with lawyers and court recently, they may be above average in terms of intelligence and drive but most wouldn't be extremely above that average. I've had to explain fairly basic math, with easy numbers (fractions like 1/2 and 1/3 regarding pay structure), several times already. Ie
Still had to explain that bonus is 1/3 total not 1/2 total.
Lawyer intelligence is logic games and analytical reasoning more than math.
i.e.
Stuff like that is cake for lawyer brains.
That would still technically be a math problem. I'm not sure if it falls in combinatorics, statistics/probability, or scheduling, but I've had problems like this on math and cs exams.
No, it would be a logic problem. They are not the same.
Logic != Computer Science != Maths
Logic is the entire concept and point of Computer Science which builds completely on top of math.
That's like saying phsyics is just math.
Completely naive; inaccurate.
There is no hierarchy of scientific knowledge. Most branches inform the others. If you don't see that yet, I can only assume your scientific career is sophomoric at best.
I mean yes they all build off each other. However, the basis for all science is logic? You take logic and observation and you use math and other previously proved physics ideas to create concrete proofs, then use more logic and observation to prove your findings. Repeat forever.
However, I said computer science, which outside of the physical hardware it’s entirely just math and logic. Yes, when trying to get performance the logic you look at includes the hardware and all its design and limitations. However, it’s not needed for most people or even this conversation. It’s an included practice when talking about computer science and isn’t necessary to mention it.
Pure computer science is entirely about using the hardware given and making logical decisions utilizing math to move and generate data in efficient ways. Some intersection occurs here when trying to do say, realistic physics simulations, RNA folding simulation, molecular simulation, etc. Those do inform each other but mostly about how to reduce the math complexity while still generating accurate enough data.
For the person designing CPUs and all the support hardware, then physics influences their designs by a lot which is where the real intersections begin.
Someone can't admit they're wrong.
This argument is older than Socrates, I'm not hashing it out with you. If you don't know what I mean, read a book or ask ChatGPT
Tl;Dr: you're fuckin wrong, bro. You can know 100% of math and know nothing of Computer Science. You can know 100% of logic and not understanding electrical engineering. That is just how knowledge works. It is a lattice, not a pyramid. To assume otherwise is to be "a fool."
You're (being) a fool.