Tuesday, September 26, 2006

Philosophy of Science: Demarcation of Science

I am a philosophy neophyte. So I decided to check out a book at the library that caught my eye: Introductory Readings in the Philosophy of Science, edited by E.D. Klemke. Frankly most of it doesn't look that interesting to me, but I did read--and enjoy--two essays dealing with the demarcation of science from non-science (including pseudo-science). It turns out that defining what is science--and what is not--is not always easy. But it can be important when it comes to public issues like what kinds of things should be taught in public schools.

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The first essay is "Why Astrology is Pseudoscience" (pdf) by Paul R. Thagard. The content of the article is obvious from the title. Thagard proposes these basic criteria for determining that something is pseudo-science:

1. It has been less progressive than alternative theories over a long period of time, and faces many unsolved problems; but

2. the community of practitioners makes little attempt to develop the theory toward solutions of the problems, shows no concern for attempts to evaluate the theory in relation to others, and is selective in considering confirmations and disconfirmations.
An interesting implication of this is that something can be legitimate science at one time and pseudo-science at another.

The second article is "Believing Where We Cannot Prove," by Philip Kitcher. This is apparently a chapter taken from his book, Abusing Science: The Case Against Creationism. Unfortunately I can't find an online copy. Kitcher lays out three basic characteristics of science:

1. Independent testability--A commonly cited characteristic of science is that it can be falsified. In other words, a scientific idea has to be vulnerable to being disproved. This characteristic was articulated by Karl Popper. However Kitcher points out that philosophers of science have long known that it is insufficient for identifying science because its application ends up either including or excluding everything. If a scientific theory consists of a bundle of hypotheses and assumptions, it is always possible to modify or discard part of the bundle, thus rendering the theory resistant to falsification. Creationists have figured out how to play this game and use it against scientists, charging that creationism is just as scientific as secular science. Kitcher calls this naive falsification.

Part of his solution is that scientific theories will have auxilary hypotheses that can be tested independent of the original theory. His example is that Newton's laws of motion and gravity explained the oribits of the planets very well--except for Uranus. Faced with the problem, Newton's theories could have been discarded as false (naively falsified). Instead it was hypothesized that another planet was affecting Uranus's orbit. A critic could charge that this was just ad hoc rationalization except for one thing--it was a testable hypothesis. In fact it turned out that another planet was indeed involved--Neptune.

2. Unification--Good scientific theories will explain much using a few simple statements, and will invoke the same reasoning processes or problem-solving-strategies for new questions. His example here is that the motion of the planets are explained by a few fundamental principles--not a patchwork of rules for individual planets.

3. Fecundity--In finding answers to questions, scientific theories turn up additional questions to be addressed, and answers will be sought using the principles contained in numbers one and two above.

7 comments:

Clark Goble,  9/26/2006 10:51:00 PM  

That's a great intro reader. Although in certain ways a bit misleading since the demarcation problem was never solved and it seems like philosophy of science largely went on to other concerns.

Jared*,  9/27/2006 08:15:00 PM  

Mark,

From past discussion with you, when you say "orthodox new-darwinism," I understand you to mean a view that replication, variation, and selection can explain all life-forms, including the existence of life itself, and that this all this reductionism means that we have no free-will and there is no God (or that God has never intervened in the course of life). And this, I would agree, is not testable, though I understand at least some of the strengths of that position.

But I think you should be more careful in terminology because the term neo-darwinsism is also used (usually?) to refer to the modern evolutionary synthesis, something that is science (which is not to say it is the last word).

Clark Goble,  9/27/2006 08:28:00 PM  

The idea that everything must be testable in an absolute sense within science is, of course, extremely problematic as a demarcation of what is or isn't science. Otherwise String Theory would be on par with Astrology. Further even if you ultimately reject Kuhn it does seem he illustrates some huge problems with traditional sense of verification (the positivists) or falsification (Popper). i.e. that they only make sense against a background theory.

JandS Morgan,  9/28/2006 02:09:00 AM  

As great as it would be to have a perfect set of criteria to define what is science and what is not, I think it is clear there is no such thing.

What I think we have instead are a long list of criteria, none of which is, by itself, necessary or sufficient to qualify something as science. BUT, things are _more_ sciency or _less_ sciency based on how many attributes in the list they conform to. Obviously some points will be more important to consider than others. So, the standard ideas of falsifiablility, repeatability, etc., are all first order considerations. But there is a long list of other considerations that we consider when we try to figure out if something is science. For example, if it is based on mathematics or if it denies mysticism and assumes materialism.

Again, none of these is necessary or sufficient, but they make something seem either more like science or less like science.

Jeff G,  9/28/2006 07:10:00 PM  

A lot of the problems which arise in figuring out what is and is not science, I think, comes from an inappropriate reification of science. People think that science is a club which ideas and theories do or do not belong to, and while I don't want to say this is wrong, I do think that such a conception leads to a lot of confusions.

Instead, I like to think of science as the method by which theories are sorted out. Science is the methodology of choosing theories which are empirically adequate, parsimonious, explanatority fertile, consilient (or consiliatory?) and self consistent over those theories which are not, all other things being equal.

Intelligent design and guided evolution simply do not pass this test while orthodox neo-Darwinism does. Perhaps the time will come will it no longer will pass this test, but as of now it does.

Preston McConkie,  9/28/2006 09:55:00 PM  

I am not aware how orthodox neo-Darwinism passes the tests you describe. How is it mathematical?

Scientific theories are very microscopic and neo-Darwinism is hugely sweeping. While it employs terms that describe actual observable phenomena, it does not posit any testable theories that account for diversity of species. This should not be surprising because that would be such a complex process that it defies the limits of testing the type of theories that we eventually adopt as laws, because they are sufficiently verifiable (for instance the law of graviation, sometimes falsely referred to as the theory of gravitation by those who use sophistry to group all theories together and lend credibilty to the improperly labeled "theory of evolution," which is not a theory but a notion).

Jared*,  9/28/2006 11:26:00 PM  

Preston,

I didn't say anything about mathematics. But population genetics and bioinformatics spring to mind as being very mathematical. Of course all of the disciplines of biology use statistics in one way or another. True, most of biology is not reducible to equations the way physics is, but then neither is geology or archeology.

If you honestly can't see how evolution meets criteria of independent testability, unification, and fecundity, and assuming you have read decent treatments of evolution, then that's a conversation that is longer than I can have at the moment. (It's time for bed). But for examples of independent testability (ie. converging lines of evidence) here is a convenient summary.

Perhaps I am not understanding your point.

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