| > Astronomy. What benefits do you expect to see from the kinds astronomy that require this sort of funding? Sure, knowing things can be nice but this ignores opportunity costs, eg. would practical knowledge like fusion research be further along if talent weren't focused on impractical knowledge? > Physics. Not strictly true, see quantum computing for instance, lasers, semiconductors and so on. There are some types of physics that aren't viable in this sense, but why does that automatically translate into some need to support them? For instance, consider the decades spent on supersymmetry which ultimately produced bupkis. In a world in which we weren't so focused on ideas so divorced from empirical data, what other types of knowledge or engineering would we have done? > Geophysics concerning the parts of the Earth deeper than the crust. What benefits do you expect to see? > Biology aside from medicine. Such as? What benefits do you expect to see? > Chemistry aside from industrial chemistry. Such as? What benefits do you expect to see? > Theoretical computer science. Untrue, Google and Facebook have advance distributed computing considerably, for instance. > Mathematics. Unclear, there's a lot of math involved in predictions of all sorts, like weather forecasting, stock market prediction. If your argument here is that math will be more application-focused, this strikes me much like the physics objection where it's unclear that we'd really be worse off. There seems to be this automatic assumption among some people that pure research with no direction or constraints is an unmitigated good and that we can't do better. I used to think so too, but I just don't see it anymore. |
>[Chemistry]? Such as? What benefits do you expect to see?
Everything around us is made up of "molecules," assemblages of parts called atoms. Since it's not possible to manipulate the molecules directly in sufficient numbers (one pound of plastic is made of 2000000000000000000000 individual molecules), we have to assemble molecules en masse by subjecting them to processes that cause each step to happen to all of them at once. How does that work?
Let's say you have a molecule. Its structure will have exposed parts, and some bonds will be weaker than others. If you want to replace a part with another part (one step in the assembly of the final product), you might go about it by letting another molecule come along that has a greater affinity to bond with the location of the part you want to replace, and also has a tendency to be in turn itself replaced with the part you want to add. How can you know which molecule to use for this? You could run a computer simulation, apply a rule of thumb, or look it up in a book. In order to write the simulations, deduce the correct rules of thumb and write the books, scientists need to try a lot of combinations of molecules to see what parts swap with what other parts when they're mixed, and then think very hard about what's happening and why it is happening. This practice is known as, "chemistry."
Once a lot of the rules for a certain molecule are mapped out, engineers with an application in mind can go to the library and ask, "what sequence of steps will take me from available molecules to a molecule I can sell in a way that succeeds very often?" This is called, "industrial chemistry." If there was no library and no knowledge in it, industrial chemistry would be impossible. That is the relationship between science and engineering.