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The problem with this is there do seem to be quite legitimate physicists who disagree with the "sky is falling" conclusion that all popular discussion is premised on. I recently heard an interview with Dr. Richard Lindzen that, for instance, provides what sounds like a very reasonable counter to the prevailing attitude. Anyone who says "the science is settled, the laws of physics cannot be violated" fails to realize what physics is even about. The vast majority of victories that physics has had since Isaac Newton are based on incredibly simplified models that strip out all of the complexity from a system. Basically everything interesting is treated as linear (as in f(x) ~ x) and a lot of the other stuff is just thrown into constants. After a few decades of working with that, both in theory and with experiments, you might get comfortable enough to add some small corrections to your theories. In this way you step closer and closer to "truth" but we are still very far off, even with our best physics, from fully understanding anything of even moderate complexity. This is not to say that we don't get incredibly useful results from physics (just look at our technology!), but it does mean that we need to constrain statements about how much we really understand and where our "laws" really are applicable. Take for instance the equation for kinetic energy, k=.5 * mv^2. Hugely useful, but dead wrong if you try to apply it to things moving at relativistic speeds. The problem of climate science, from my perspective, is that we can't strip it down like we do for simple systems like a ball moving in space. Climate is inherently very complex; if you try to ignore how oceans interact with vegetation, how vegetation interacts with clouds, how clouds and rain are connected, etc, then your models can be interesting and might reveal something, but they can't be used to predict what will happen with any degree of confidence because they are too far removed from the real thing. And if you don't strip something out of the system when doing your modeling, well then good luck: you'll never understand anything at all because the thing is too complex to be used to calculate anything of interest. edit: added some words. edit2: more words. |
There's however a consensus on the fact that it's going to be bad. What don't know is how bad. Which is IMHO frightening enough