Harzem Peter wrote:

Now, it is a different matter when it comes to Popper. You write:
Finally, going Popperian (i.e., sure one study can overturn a theory) isn't really going to get much more respect. Popper's most infliuential student, Imre Lakatos, presented example after example of situations in the natural science in which what initially looked like a refutation turned out to be simply motivation to adjust (rather than reject) the theory to accomodate the new data and then declare the theory to be stronger and broder than ever before.


I am very much for that, and think very highly of Popper. (I gave a paper in the Centennial celebrations of Popper held in Vienna.) What changes is the theoretical explanation, not the data on which the revised theory had been based. Some of the prior data may be found to be faulty and be discarded, of course. However, there is an important exception: a single set of data can, indeed, falsify an theory (but not the data).

Many decades of philosophical work since 1935 (when Popper wrote the book translated in 1959 as _Logic of Scientific Discovery_), have shown that the distinction betwen theory and data is often not so clear as this formulation would have it. To borrow an example from Lakatos, imagine an astronomical theory that predicts a certain phenomenon should be found at a particular place in the sky. Astronomers train their telescopes on the crucial coordinates and find, alas, that no such phenomenon can be seen. Theory refuted? According to Popper, yes. But things are not so simple. The "refuted" theoreticians argue that a dark cloud of matter obscures the phenomenon predicted by the original theory. A probe is sent to the place where the hypothetical cloud is said to exist, finds evidence of it, and, further, peers beyond it to find the phenomenon predicted by the original theory. The presumably "refuted" theory is "revived" (because obervational "data" came with a tacit theoretical claim that nothing is obscuring the phenomenon form the perspective of Earth).

WVO Quine (following Pierre Duhem) provided lots of examples of data and theory intermingling in ways that make the simplistic formula of "data" refuting "theory" problematic. Consider: I dig. I find the bones of a brontosaurus. Data, no? Then it turns out that the original example of the brontosaurus (the one that gave the species its name) was actually the skeleton of the previously discovered and named apatosaurus, mixed with the skull of some other animal entirely. The very category "brontosaurus" vanishes out of the paleobiological vocabulary, and my "data" changes (Presto!) to having been the bones of an apatosaurus. The "data" was "contaminated" with theoretical assumptions. So we have to strip out all theory from data, right? Way back in the 19th century, "phenomenalists" tried to strip things down to "sense data" in order to avoid this sort of problem. (Indeed, this was exactly the reason that Percy Bridgman invented the "operational definition" in the 1920s; an idea that fell on its face everywhere but in psychology where it still enjoys a kind of afterlife -- see my 192 article at http://www.yorku.ca/christo/papers/operat.htm). The idea carried on into the mid-20th century in the logical empiricism of people like AJ Ayer. But it ultimately failed. One cannot even categorize data as being "this" or "that" without bringing in a raft of theoretical assumptions. And one cannot do science without categorizing data. Thus the dilemma (and the reason that Popper's 1935 formulation cannot bear the weight of explaining how science works).

Regards,
--

Christopher D. Green

Department of Psychology

York University

Toronto, ON M3J 1P3

Canada



416-736-5115 ex. 66164

[EMAIL PROTECTED]

http://www.yorku.ca/christo

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