Re Allin's [5538]: > A causal theory is capable of > generating predictions _conditional_ on > knowledge of the values of the > theory's "independent variables". If these values > aren't in fact known then one can't make >_actual_ predictions, but that doesn't mean > the theory is non-predictive in the sense Paul is > using. Do all causal theories, though, also claim to be predictive? I think not. Paul and you are using one understanding of causal theory which is not the only understanding of the relation between causal and predictive theories. I tend to agree with (of all people!) Ludwig von Mises who wrote that predicting the future is "beyond the power of any mortal man". One reason we don't know what the values of the unknowns will be -- in addition to the sheer quantity of unknowns -- is that a change in the 'value' of one unknown can then cause a change in the value of the other unknowns which can in turn change the value of what we took to be known (including the value of the initial unknown that changed). Let us not forget, Occam's razor notwithstanding, that capitalism is inherently a very complex system. If one, for example, makes predictions about the long-run doesn't one have to have a fully specified non-linear dynamic model? Chaos rather than predictability would seem to be the norm in this context. Rather than being able to make reasonable predictions, it seems to me that *the best* that is possible is to identify what _looks like_ the most likely *alternative scenarios*. In thinking about the future under capitalism, after all, a certain amount of 'fuzzy logic' is required. In reference to Occam's razor, I think that David McCloskey offers a valid observation: "Above all the economical reader delights in the simplest argument available. Economists shave dangerously close with Occam's razor. If some apparently complex behavior can be reduced to a slogan or a three-line proof the economist can be relied upon to seize it" (_The Rhetoric of Economics_, Madison, University of Wisconsin Press, 1985, p. 135). I think that many Marxists (particularly those on other Internet mailing lists) also shave 'dangerously close' with Occam's razor. Slogans are much easier than an explanation of complex systems and relationships, after all. [NB: this is not a criticism of AC/PC.] I am also highly skeptical of how predictive models are developed in practice, e.g. market forecasting models. All of these models, in order to make any projection at all, must estimate values for all of these unknowns. When it gets down to it, though, even if these are developed into sophisticated computer simulation models, this estimation is simply GUESStimation. And these guesstimates implicitly contain the gross ahistorical fallacy that trends which have been observed in the past are assumed to continue in the future. This crucially ignores how trends can *change* _and_ the role of *uncertainty* in capitalism. If we come to think that we know what _will_ happen in the future, then our theory must be over-simplistic since we have eliminated the essential role of uncertainty that is given by the nature of capitalist production and circulation. It seems to me that if a theory claims to be predictive, then it should make predictions. This is expected of fortune tellers, after all, who make predictions. If economists go around saying that their theory is predictive then truth-in-advertising should demand that they show us what they can do -- and then have their theory judged in part on the basis of the accuracy of the predictions (after we have adjusted for 'external shocks' like natural disasters that no social theory can be expected to reasonably predict, but which can nonetheless cause a divergence between the projection and what actually then happens.) Would we take a 'fire-eaters' words for it that s/he can eat fire or would we want to see her/him eat fire? In solidarity, Jerry
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