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At first glance, it seems obvious. We've got the Law of Gravity, the Ideal Gas Law, Boyle's Law. But when we dig into the philosophical bedrock, things get tricky.
Wesley Salmon gives us a great starting point: a law of nature is a universal generalization (a statement that makes absolutely no reference to particular persons, objects, or times). But it's not just any generalization. A genuine law has two special capabilities:
It supports counterfactual inferences: It tells us what would happen in an "if, then" scenario that expresses what has not actually happened.
It supports modal statements: It deals with physical necessity and impossibility.
Let's look at an example to separate a genuine law from an "accidental generalization":
Accidental: "No golden spheres have a mass greater than 100,000 kg". This might be true just because nobody has bothered to build one, not because it's physically impossible.
Law-like: "No enriched uranium sphere has a mass greater than 100,000 kg". This is necessarily true(i.e., if it were true, the material would become too unstable to maintain its existence, making it a physical impossibility).
Philosophers of science generally fall into one of three camps when explaining how these laws operate:
Proponents like David Hume and A.J. Ayer argue that laws are simply descriptive summations of what occurs in nature. They are contingent (meaning they could be otherwise) and are discovered a posteriori (after experience). For Hume, we don't actually experience "cause and effect" or objective necessity out in the world; we just experience a "constant conjunction" of events (i.e., event A is always followed by event B).
The Problem: How do we separate a true law from a silly accident? For example, if every single dog ever born at sea happened to be a cocker spaniel, that wouldn't mean we should use that generalization to make predictions. Ayer solved this with an Epistemic Regularity Theory, arguing that a law is a universal truth plus our willingness to use it to make predictions and deductively organize scientific statements.
Fred Dretske wasn't buying the Regularity approach. He argued that if laws rely on our human attitudes and willingness to make predictions, then unknown laws couldn't exist (which confuses what a law is with how we know it). Instead, Dretske proposed that laws tell us how things must occur.
In his Universals Theory, laws aren't just universal generalizations about particular objects; they are necessary relations between properties (universals). It's not just that "all Fs happen to be Gs". Rather, the very property of F-ness necessitates or "brings with it" G-ness.
Nancy Cartwright throws a wrench into the whole machine. She argues that the fundamental laws of physics don't actually state the facts.
There is a trade-off: laws can either be factually descriptive or provide explanations of particular cases, but they can't do both.
Why? Because in order to be completely exceptionless, laws have to assume highly idealized circumstances (like operating in a perfect vacuum).
Think of dropping a bowling ball and a feather from a tower. Newton's law of universal gravitation works perfectly to predict the bowling ball, but in reality, wind resistance interferes with the feather.
Because the real world is messy and complicated, Cartwright argues that if we treat the law as absolutely true, we would have to count our observation of the feather as competing evidence.
Instead, laws must be treated as strictly false, ceteris paribus (all other things being equal) statements. Instead of perfectly describing reality, they give us a model or "simulations" to help us determine possible causes in concrete situations.
So, are we actually gaining knowledge of the way the universe really is, or are we just creating incredibly useful models? The next time you drop your keys and they fall to the floor, ask yourself: is gravity a strict rule the universe must obey, just a habit it hasn't broken yet, or a highly useful fiction we've mapped onto a messy reality?