On Cosma’s recommendation, I’ve been reading Stephen Toulmin’s book Human Understanding: The Collective Use and Evolution of Concepts. It fits pretty neatly into the philosophical thread running from at least Bertrand Russell onward. To recapitulate them in a quick sentence or two: Russell argued in “On Denoting” that many philosophical problems would disappear if people were just more careful with their language. The logical positivists went kind of crazy with this idea and claimed that all knowledge is either logic or empirical data. They argued a lot with Karl Popper, who claimed that a proposition is scientific in proportion to how “falsifiable” it is — i.e., how easy it would be, in principle, to gather data that prove the hypothesis false, if in fact it is false. It’s easy to find data in favor of a hypothesis: ask any Marxist or Freudian to look at the world, Popper said, and they’d claim that everything around them was proof that their dogma was true. What’s hard is to explain how your philosophy could possibly be proven false.
Lots of people came around and poked holes in Popper’s argument. The biggest might be the “auxiliary hypothesis” objection, namely that a proposition can never be falsified on its own. A proposition rests on a network of other propositions; if it turns out that your proposition is false, it may be false because one of the propositions that it depends on is false. A number of people — Quine maybe chief among them — noted that the more deeply rooted a proposition is, the less likely we are to reject it: the laws of logic, for instance, may be forever beyond falsification.
Then there was Thomas Kuhn. He argued that science exists in two stages: “revolution” and “ordinary science.” Most science, most of the time, is people tinkering at the edges of what they think they know. They’re adjusting the equations to get the sixth decimal point of accuracy; they’re answering abstruse detail questions; and in general they’re operating within the accepted standards of the discipline. Eventually, though, the discipline encounters a problem that cannot be addressed with the accepted methods. It encounters internal strains and cannot accommodate them, a cataclysm ensues, the old paradigm is overthrown, and we’re in a revolution. Things eventually settle down and we’re in normal science, now operating within the new paradigm. And so it continues.
Lots of people have poked holes in Kuhn. When it gets down to details, he just doesn’t seem to have it right. For one thing, he claims that people across a paradigm shift cannot understand one another: the conceptual understanding of the world embodied in Einstein’s physics, for instance, is altogether different from that in Newtonian physics. Kuhn would say that when Newtonians and relativists try to talk with one another, they are just incapable of communicating. As Toulmin points out, though, this clearly isn’t right: paradigm shifts happen over years and decades, and the scientists involved argue passionately with each other throughout. If they can’t speak to one another, they’re sure faking it well.
I also can’t help but note here that Kuhn’s argument is nicely self-swallowing. If physics — the most well-respected, rigorous, tested, mathematical, elegant body of knowledge we have — isn’t converging toward the truth, then what can we say about the humanities? What, more specifically, can we say about the philosophy of science? And what can we say about Thomas Kuhn? I’ll wait for the next paradigm shift in the philosophy of science before I commit myself to any one model.
On my read of these things, the latest move in the game has been the one embodied by Philip Kitcher and Stephen Toulmin. The only natural next step to take, it seems to me, is to look at how science actually works. So we need to ask a host of questions about how scientists think, the jealousies they feel, the structure of academic science and publishing, what counts as an interesting problem at any given moment, how a scientist’s intellectual ancestry affects him now, and so on.
A scientist’s preconceptions about what makes a problem interesting will determine the kind of questions he asks. This will, of course, be true in any field: no one approaches the world as a newborn baby. It will also be true of philosophers of science, of course. So the importance of people like Kuhn, Kitcher and Toulmin, it seems to me, is that they let us ask questions we might not have thought to ask before. When we imagine scientists as infallible truth-generating machines, it hardly matters which personalities are sitting inside those machines. When we situate them, instead, in real human bodies with real human failings, the philosophy of science turns into a sub-branch of sociology or psychology. It becomes another branch of science, with hypotheses about people that can actually be tested or rejected like any other scientific hypothesis.
From what I can tell, this is also what’s happened in economics over the last thirty years. We’ve jettisoned the idea that humans are infallibly rational, and can “solve NP-complete problems in a single bound”. They feel guilt and shame and envy and jealousy and sloth, and they sometimes even do things that they know are wrong. The models might get more complicated, but they’re likely to match up more closely with the real world. A lot seems to ride on understanding psychology. Kitcher incorporated psychology into his book by trying to model within his equations a scientist’s desire for recognition. That’s not an absurd thing to model: the desire for recognition may well drive the scientist to work harder and may cause him to undercut his competitors; in so doing, he may well weaken the institution of science as a whole. By weakening that institution, he may make it harder for the institution to reach the truth. If you’re trying to explain how science could be filled with fallible humans and yet still advance toward truth [], this is an important thing to include in your equations.
I don’t know that any of the philosophers and economists I’ve read are even in the right ballpark, but it’s nice to know they’re all paying more attention to real humans.
[] — You could object here that “advancing to truth” doesn’t make much coherent sense, because in order to know that you’re advancing toward truth, you have to know what the truth is — which, by hypothesis, you don’t. It’s not hard to rescue this: instead of saying that a theory T2 is an advance toward truth over T1, you can just say that T2 provides more accurate explanations of the same phenomena than T1, explains phenomena that T1 can’t explain, and doesn’t leave uncovered any areas that T1 explains well. More succinctly: the set of things that T2 explains is a strict superset of what T1 explains.