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by anamax
5093 days ago
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> One way is to find particles that the model predicts. If they are found then we know that the standard model is in fact correct. Actually, finding those particles doesn't tell us that the standard model is correct. Finding those particles just tells us that it doesn't have some specific errors. One difference between science and math is that you can't prove anything "correct" in science. |
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To be fair, you can only prove something "correct" in math to the extent that it agrees with the underlying axioms. In broader scientific fields, an assertion is just as "correct" if it agrees with the underlying models.
In mathematics, you can challenge the validity of axioms, which is usually a pointless thing to do, or you can point out, as Goedel did, that some assertions will remain unprovable within any given framework of axioms. So the math guys know where they stand, at least.
In many areas of science, the experimental method is becoming less and less useful over time. Particle physicists need to know how well the Standard Model agrees with reality, because so much of their future work will depend on assumptions that can only be tested against the model. (We won't see a bigger-than-LHC facility constructed anytime soon, put it that way, and that was the case even before the recent global financial problems came to light.)
Similarly, the work of climatologists can be, and has been, attacked because it depends on models, and the map is not the territory. As with the Standard Model of particle physics, an assertion can be shown to be unequivocally true or false within the bounds of a given climate model, but not in reality, because we only have one Earth to experiment with. In both climatology and particle physics, the lab door is now locked. The models are all we have to go by, so it's really important that we get them right.