===== PAGE 1 ===== ik JOURNAL OF LIBERTARIAN STUDIES VOLUME 19, NO. 1 (WINTER 2005): 79-95 REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS WALTER BLOCK To THE BEST OF my knowledge, there were three Methodenstreits (or debates in the literature over the proper method to use in econom- ics) and a handful of “mini-Methodenstreits” in which Austrians took part. The first Methodenstreit was the most famous, and established the Austrian School of economics. It took place in the latter two decades of the nineteenth century, with the historicists Gustav von Schmoller, Lujo Brentano, Adolf Wagner, and Werner Sombart on one side, and the Austrians Carl Menger, Eugen von Boshm-Bawerk, Friedrich von Wieser, and Ludwig von Mises on the other.1 The second started in the mid-twentieth century with the publi- cation of Friedman's classic article on methodology, followed by a plethora of others reacting to it. But here, unlike the first, where the two sides were evenly matched at least in terms of numbers, only a few Austrians participated.2 Walter Block is Harold E. Wirth Eminent Scholar Endowed Chair and Pro- fessor of Economics, Loyola University New Orleans. The author wishes to acknowledge the help given to him by his Loyola University New Orleans colleague Bill Barnett. The usual caveats apply. (wblock@loyno.edu.) 1See Ludwig von Mises, The Historical Setting of the Austrian School of Eco- nomics (Auburn, Ala.: Ludwig von Mises Institute, 1984); “Methodenstreit,” www. wikipedia.org; and Walter Block, “Reply to Caplan on Austrian Eco- nomic Methodology” (unpublished manuscript; department of economics, Loyola University). 2Milton Friedman, “The Methodology of Positive Economics,” in Essays in Positive Economics (Chicago: University of Chicago Press, 1953), pp. 3-43. A conference on this seminal article took place in 2003, but no Austrians were invited. See http://www?2.eur.nl/fw/philecon/Friedman53.html for a list of participants. The Austrian perspective included Glenn Fox, “Economics as Prediction,” Chap. 5 in Reason and Reality in the Methodologies of Econom- ics: An Introduction (Cheltenham, U.K.: Edward Elgar, 1997); and Samuel Bostaph, “Epistemological Foundations of Methodological Conflict in Eco- nomics: The Case of the Nineteenth Century Methodenstreit” (Ph.D. diss., Southern Illinois University at Carbondale, 1976), pp. 119-39. 79 ===== PAGE 2 ===== 80 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) There were also what might be regarded as several mini-Metho- denstreits, consisting of only two or three entries; a neoclassical argu- ment and an Austrian reply with no follow up, or an exchange between only two participants.3 We are now in the midst of the third such Methodenstreit, which began with an article by Bryan Caplan, and has subsequently included articles by William Barnett, Walter Block, Guido Hiils- mann, and Frank van Dun, as well as replies by Caplan.# Note that this Methodenstreit is almost the opposite of the second in terms of the proportion of participation of Austrians and neoclassicals. That one, launched by Friedman, included only two Austrians, along 30ne such example involved Robert Nozick and Walter Block. See Robert Nozick, “On Austrian Methodology,” Synthese 36 (1977): 353-92; and Walter Block, “On Robert Nozick’s ‘On Austrian Methodology,” Inquiry 23, no. 4 (Fall 1980): 397-444. For a second example, see G.J. Schuller, Review of “Human Action by Ludwig von Mises,” American Economic Review 40, no. 3 (June 1950); Murray N. Rothbard, “Mises’s ‘Human Action”: Comment,” American Economic Review 41, no. 1 (March 1951); G.J. Schuller, “Rejoinder,” American Economic Review 41, no. 1 (March 1951); and Murray N. Rothbard, “Praxeology: Reply to Mr. Schuller,” American Economic Review 41, no. 4 (December 1951). For more on the debates between Austrians and their intellectual oppo- nents, see Walter Block, Christopher Westley, and Alex Padilla, “The Case for Refereed Journals Devoted to Austrian Economics Revisited (Are there any objective criteria for determining truth in economics?),” (unpublished manuscript; department of economics, Loyola University). 4Bryan Caplan, “The Austrian Search for Realistic Foundations,” Southern Economic Journal 65, no. 4 (April 1999): 823-38. Austrian responses to Caplan include William Barnett, II, “Contra Caplan” (unpublished manuscript; department of economics, Loyola Uni- versity New Orleans); Walter Block, “Austrian Theorizing, Recalling the Foundations: Reply to Caplan,” Quarterly Journal of Austrian Economics 2, no. 4 (Winter 1999): 21-39; Walter Block, “Realism: Austrian vs. Neoclassical Economics, Reply to Caplan,” Quarterly Journal of Austrian Economics 6, no. 3 (Fall 2003): 63-76; Block, “Reply to Caplan on Austrian Economic Method- ology”; Jorg Guido Hiilsmann, “Economic Science and Neoclassicism,” Quarterly Journal of Austrian Economics 2, no. 4 (Winter 1999): 3-20; and Frank van Dun, “Bayesianism and Austrian Apriorism,” http:// allserv.rug.ac.be/-frvandun/Texts / Articles /Bayesianism-Austrian.pdf. Caplan, in turn, has offered replies to his critics. See Bryan Caplan, “Prob- ability, Common Sense, and Realism: A Reply to Hiilsmann and Block,” Quarterly Journal of Austrian Economics 2, no. 4 (Summer 2001): 69-86; and Bryan Caplan, “Probability and the Synthetic A Priori: A Reply to Block,” Quarterly Journal of Austrian Economics 6, no. 3 (Fall 2003): 77-83. ===== PAGE 3 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 81 with a myriad of neoclassicals. The present one consists of Caplan, the only neoclassical, and four Austrians. In the present article, it is my goal to critically comment on Caplan’s most recent argument. The next section is devoted to Prob- ability and Science, followed by a section on Synthetic a priori and Common Sense, and then a section on Caplan’s Bayesian Cure. PROBABILITY AND SCIENCE I fear that a serious misunderstanding has sprung up between Caplan and myself on the relationship between probability and the synthetic a priori. I relish the opportunity to try to set matters straight. Throughout his most recent article, Caplan focuses upon my supposed “concession” regarding synthetic a priori statements and probabilities. He writes: “It is a major concession for Block to admit that synthetic a priori propositions can have a low probability and empirical propositions can have a high probability.” Caplan also labors under the false assumption that I maintain that empirical claims are “unscientific.”> In my view, the only sense in which the truth of synthetic a pri- ori statements can be uncertain is in the psychological, not the logical, sense. Caplan, unfortunately, interprets me in precisely the wrong way on this matter. Previously, I said that we could be less certain of synthetic a priori statements that involved long chains of reasoning, or convo- luted deductions, and more sure of those that involved more direct logic, or simpler mathematical operations. For example, we can in this sense be more sure that the square root of 9 is 3 than that the square root of 2,187,441 is 1,479. Or, to use my example, the claim that a triangle has 3 sides is relatively simple, that it has 180 degrees in all three of its angles is moderately difficult to under- stand, and the Pythagorean Theorem is more complex yet.” But here, we are limited to discussing psychological states of people being confronted with these various truths. In terms of their pure logic, they are all of a piece; that is, to deny any one of these con- tentions is to commit an internal contradiction, a strict no-no in logic. 5Caplan, “Probability and the Synthetic A Priori,” p. 77. 6See Block, “Realism.” 7Ibid., pp. 71, 72. To be clear, I assume that the base of these numbers is ten, and I posit Euclidian, not Riemannian, Lobachevskian, or some other type of geometry. ===== PAGE 4 ===== 82 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) These claims are not testable; they are not falsifiable. There is no possible state of the world that would render them false. Yet, Caplan claims that since some of the more complex statements in this cate- gory can be psychologically confusing, their logical status has some- how been converted into mere empirical claims. Surely, this is a cat- egory mistake on his part. On the other hand, based on my “concession” that, in the empir- ical world, too, there can be more or less certain claims with high and low probability of being correct, he concludes that we can be more confident of highly secure contingent claims than about diffi- cult to see but necessary ones, for example, that we can rely more heavily on the statement “Elephants are heavy creatures” than on the Pythagorean theorem. However, say what you will about the former, its denial involves no self-contradiction, while to assert the contrary of the latter most certainly does. This is a category mistake on stilts. I am tempted to say that I regret my Table 2 since it has sown so much confusion.8 But, upon reconsideration, I do not, for it opens up avenues of exploration that otherwise would not have arisen. Using it shows that Caplan does not understand methodology.? Testing the Pythagorean theorem indeed. Why did I construct this table? Solely as an attempt to bridge what I saw as a yawning gap between Caplan’s argument and my own. Caplan continually brought prob- ability into play,10 a concept I saw as beside the point. Very well, I decided, if Caplan cannot argue in the absence of probability, let us by all means discuss it, but in a way that shows its irrelevance to the issues under contention. This is what I meant when I wrote “we can accommodate his concerns” in my presenta- tion of Table 2.11 In other words, I was utilizing the “arguendo” method in an attempt at a reductio ad absurdum. 1 was saying, in effect, that the entire notion of probability leads us astray from the discussion involving the distinction between contingent and neces- sary truths. However, I tried to make clear, if you must discuss it, here is a way to do so that need not deflect us from our main debate. 8Block, “Realism,” p. 71. In Caplan, “Probability and the Synthetic A Priori,” all page number citations to Block, “Realism,” are incorrect, apparently due to an editing error. In the present article, whenever I cite Caplan’s article with reference to my prior article, I substitute the correct pagination. 9Van Dun, “Bayesianism and Austrian A Priorism,” has similar misunder- standings over this table. 10See Caplan, “Probability, Common Sense, and Realism.” Block, “Realism,” p. 71. ===== PAGE 5 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 83 Rothbard uses the arguendo gambit against Blum and Kalven, who write: “An equitable apportioning of sacrifice requires inflict- ing equal hurt on each taxpayer.”12 Rothbard responds: To a thoroughgoing individualist and libertarian, this basic goal of the sacrifice theorists reveals the utter absurdity of their position. Instead of worrying about what constitutes “equal hurt,” why inflict any hurt at all? Why tolerate an institution that represents only pain and injury, and then try to find some sort of “equitable means” of spreading it around? The entire concept of “just and equal” in suffering is an absurdity. Setting aside this point for the moment. . 13 Rothbard then continues with his analysis of the writings of these two authors, ignoring the devastating criticism he has just lev- eled against them. Does this mean Rothbard has changed his mind, and now accepts the validity of equal hurt? Does this mean, to utilize Caplan’s terminology, that Rothbard has “conceded” to Blum and Kalven the propriety of hurting people, so long as the hurt is spread around equally, or equitably? If you believe this, then you are ready to seriously entertain the notion that I “conceded” to Caplan that we can be logically more secure in believing well established empirical findings in economics than we can regarding less certain synthetic a priori statements, “less certain” only because they involve long chains of reasoning. This is psychological, not logical, uncertainty. I claim that Gary Becker and other supposed neoclassicals are really praxeologists under the skin, based on their reaction to the Card-Krueger “finding” that minimum wage legislation has very different effects than previously supposed.l4 Caplan explains the Becker et al. reaction not in terms of praxeology, but on the basis of Bayesian probability theory.15 I reject this analysis on the ground that it is based on yet another confusion between logic and psychol- ogy. Yes, for all I know, there may be any number of economists such as Becker, livid with the Card-Krueger article, and determined to 12walter J. Blum, and Harry J. Kalven, Jr., “The Uneasy Case for Progressive Taxation,” University of Chicago Law Review 19 (1952): 417-520. 13Murray N. Rothbard, “The Uneasy Case for Degressive Taxation,” Quar- terly Journal of Austrian Economics 4, no. 1 (Spring 2001): 52; emphasis added. 14Gee David Card and Alan B. Krueger, “Minimum Wages and Employ- ment: A Case Study of the Fast-Food Industry in New Jersey and Pennsyl- vania,” American Economic Review 84, no. 4 (September 1994): 772-93; cf. Gary Becker, “It’s Simple: Hike the Minimum Wage, and You Put People Out of Work,” Business Week Magazine (March 6, 1995). 15Caplan, “Probability and the Synthetic A Priori.” ===== PAGE 6 ===== 84 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) show its flaws, who are motivated by something along the lines of Caplan’s Bayesian analysis. But that is mere psychology. I am making an entirely different point. As I see it, I am not motivation-monger- ing. I am claiming, instead, that the critics, supposedly neoclassical, of the Card-Krueger argument logically could not take the stance they did without a healthy dose of praxeological insight. On the Bayesian explanation, in contrast, the fact that minimum wage legislation leads to unemployment for unskilled workers is so well established that neoclassicists approach any deviation from this finding with great skepticism. But how, on this interpretation, did any such knowledge get established initially on the Bayesian account? It logically could not have been so established based on this system, because it requires a previous body of knowledge on the basis of which to examine new claims. The response, “it’s turtles all the way down” seems to be appropriate here. With this introduction to Caplanian methodology, we are ready to consider chapter and verse. What follows is an analysis of Caplan’s statements. I shall quote him extensively, and then respond. I am led to this mode of presentation to forestall future mis- understandings between us. My hope is that if we cannot in the end agree, then we should at least achieve real disagreement, as opposed to presently passing each other as ships in the night. Caplan writes: It is a major concession for Block to admit that synthetic a priori propositions can have a low probability and empirical proposi- tions can have a high probability.16 It is no “concession” at all. It is merely evidence of an attempt to try to communicate more clearly with Caplan. Yes, “Elephants are heavy” has a high probability of being correct at any given time, and we are more likely to make mistakes in long involved sets of math- ematical proofs, but these statements occur in two entirely separate universes of discourse, the former empirical, the latter a priori. Caplan is wrong to draw from this the implication he does. The “low probability” attached to a specific synthetic a priori statement is not with regard to its truth or its being correct, but rather relevant to the odds of arriving at it; e.g., it is true that, modulo ten, the square root of 2,187,441 is 1,479, but the odds that most people could figure this out on their own is, I suspect, small, especially given the large num- ber of innumerate people in the world. There are certain truths for which the probability is small that people will ferret them out; never- theless they are indubitable truths. Caplan writes: lé1bid., p. 77. ===== PAGE 7 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 85 [1}f synthetic a priori claims, like empirical ones, vary in probabil- ity, then Block has no reason to single out the latter as unscien- tific.17 But I do no such thing. Indeed, a word search of the electronic version of my article does not reveal that I even used the word “unscientific,”18 let alone asserted that empirical claims cannot pass muster under this criterion. Indeed, my view is the very opposite. As I see it, empirical claims most certainly can be scientific, in the phys- ical sciences. It is only in fields like economics, mathematics, and logic, but not in the physical sciences, that we can do better, e.g., attain synthetic a priori knowledge. Caplan writes: Take for example “Most socialists would be offended by Defending the Undefendable.” It is hardly true a priori, yet it is plainly true. How then can Block label such a claim scientifically empty? Indeed, how can he call it scientifically inferior to a low-probability synthetic a priori claim?19 There are more mistakes in this short quotation than you can shake a stick at. I do not at all label the claim that socialists would be offended by my book Defending the Undefendable “scientifically empty.” Rather, this empirical claim seems very likely. It is not “sci- entifically” empty; rather, it is praxeologically empty, since its denial involves no self-contradiction. This claim about the sensibilities of socialists is a high-probability empirical statement. We cannot prop- erly say it is scientifically inferior to a “low-probability” (again, only in the psychological sense) synthetic a priori claim. If the purpose of science is to discern truth, then every synthetic a priori statement is superior to every empirical statement. But, “you can’t add apples and oranges.” A synthetic a priori statement is true (if not, then it is not truly a synthetic a priori statement); however, an empirical state- ment is never true in this sense. Therefore, one really can’t compare them regarding scientific value. Caplan writes: [Block] has already foreclosed one route: equating “scientific knowledge” with certainty. After all, he admits that many synthetic 171bid., p. 77. 181t would help to achieve real disagreement, and thereby promote rational discussion, if Caplan would explicitly cite me and quote me when he attrib- utes specific claims to me. 19Caplan, “Probability and the Synthetic A Priori,” p. 78, discussing Walter Block, Defending the Undefendable (New York: Fox and Wilkes, 1991); empha- sis in the original. ===== PAGE 8 ===== 86 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) a priori claims—like empirical ones—fall short of certainty. If “Most socialists would be offended by Defending the Undefendable” is unscientific due to lack of certainty, so are claims about the minimum wage.20 But the lack of certainty between empirical claims such as those regarding my book, and synthetic a priori ones concerning the mini- mum wage, occupy entirely different philosophical categories. The former are uncertain due to our lack of information about the world. We think it likely that most socialists would be shocked and offended by Defending the Undefendable, but heck, there might be a few of them out there with a sense of humor, or who may even enjoy a brutal attack on their position. The uncertainty concerning the minimum wage or the Pythagorean theorem is entirely of a different type. Here, we are not concerned only with a state of the world, but also with necessary con- ditions which cannot be denied but on pain of self-contradiction. The ways we prove these two contentions are also very different. We can examine socialists and their feelings, or elephants and their weight, but we can never establish knowledge that is certain in the logical sense. After all, the next socialist down the pike, or the next elephant, can be an exception to the rule. Not so for synthetic a pri- ori statements, not at all. Caplan writes: By admitting that the empirical can be more probable than the syn- thetic a priori, my critic has distanced himself from the weakest parts of his first reply.2! Not a bit of it. I fear I shall have to continue to wallow in my “weakness.” Yes, “elephants are heavy” is an empirical claim that most would accept. In that sense, it is a very likely empirical claim. On the other hand, never in a million years would the average per- son be able to prove Godel’s Theorem. In the psychological sense, this insight is unlikely, or improbable. But this is truly comparing apples and oranges. It is as if Caplan is saying that the best weight lifter on the planet can bench press triple his own weight; therefore, such a person should be a great golfer or chess player. The one has nothing to do with the other. Caplan writes: 20Caplan, “Probability and the Synthetic A Priori,” p. 79; emphasis in the original. 211bid. ===== PAGE 9 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 87 Many of Block’s examples of the synthetic a priori are poorly cho- sen. Demand curves . . . do not necessarily slope downward. Roth- bard’s own discussion of backward-bending curves admits as much.22 Unhappily, Caplan leaves out an important part of my statement, which reads as follows: “Demand curves are downward sloping (e.g., when forced to give up one unit of a stock of a good, the eco- nomic actor will give up the least valuable of them).” Would Caplan be so rash as to claim that when forced to give up one unit of a stock of a good, the economic actor will give up other than the least valu- able of them? If not, he then necessarily acquiesces with my con- tention. Of course, if income is allowed to vary as we move along a demand curve, it will not necessarily be downward sloping throughout its entire length. We all know about backward-bending demand curves and Giffen goods. This dispute is not about that. Rather, it concerns creating straw men and then attacking them. SYNTHETIC A PRIORI AND COMMON SENSE In a continuation of his claim that my synthetic a priori examples are “poorly chosen,” Caplan writes: Nor is it necessarily true that raising the minimum wage reduces employment, ceteris paribus. It does not have to do so under monopsony. This ought to put paid to the notion, if ever entertained, that Caplan is some sort of subterranean Austrian, at least of the Roth- bardian variety. After all, the concepts of monopsony and monopoly, when applied to the free-enterprise system, are dead from the neck up. The only legitimate denotations of these words are when the government grants an exclusive privilege, whether to a marketing board buyer (monopsony) or to a seller (monopoly). This is not the time nor place to go into the neoclassical fallacies concerning these concepts. Suffice it to say that no one has ever succeeded in demon- strating a perfectly competitive price or quantity with which to con- trast the so-called market monopoly or monopsony price or quan- tity. Indeed, the entire concept of free-market monopoly or 22Ibid. Caplan’s refusal to directly quote me is apparently not personal; here, he fails to cite Rothbard. I always tell my students to document any- thing about which any reasonable person might take issue. Evidently, rules of documentation are not uniform. Why should the reader have to go through the trouble of finding Rothbard’s actual discussion of this issue? 231bid., p. 79. ===== PAGE 10 ===== 88 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) monopsony is a veritable contradiction in terms. The entire model is logically incoherent.24 Caplan, further continuing his claim that my cases in point of synthetic a priori are misconceived, writes: Or to take a more fanciful counterexample, imagine that employ- ers have been hypnotized to believe that the minimum wage declines every time Congress increases it. Then raising the mini- mum wage would increase employment instead of decreasing it, at least until bankruptcy set in.2 Unfortunately for Caplan, that last bit, “at least until bankruptcy set in,” gives away the entire point: Such craziness cannot last in the long run, even given these rather heroic assumptions. The piper must be paid: Whenever the minimum wage rises, no matter what anyone thinks, employment will eventually have to be reduced. But no one ever claimed any more for the minimum wage than that. Certainly, no competent economist ever asserted that this legislation would immediately create unemployment. In the very next microsecond, right after a rise in the mandated level but before human action can possibly react to the change, employment would not fall at all. It takes purposive choice on the part of entrepreneurs for any such result to ensue. Nor are we interested, praxeologically, in how long this market process will take, only that it necessarily must occur. It would appear that Caplan, despite his own best efforts to the con- trary, agrees with this Austrian insight. He, in effect, demonstrates this with his “at least until bankruptcy set in” concession. Caplan “quibbles” with two other of my synthetic a priori exam- ples. He states: My objections to “There are mutual benefits to trade in the ex ante sense,” and “Man acts (to create a world more to his liking in the future than one which would arise but for his action),” are only quibbles. To be strictly true, these assertions would have to allow for indifference: “There are mutual nonlosses to trade in the ex ante sense,” and “Man acts (to create a world as or more to his liking in the future than one which would arise but for his action).”26 24For a critique of neoclassical monopoly theory, see William Anderson, Walter Block, Thomas J. DiLorenzo, Ilana Mercer, Leon Snyman, and Christopher Westley, “The Microsoft Corporation in Collision with Antitrust Law,” Journal of Social, Political, and Economic Studies 26, no. 1 (Winter 2001): 287-302; Thomas J. DiLorenzo, “The Myth of Natural Monopoly,” Review of Austrian Economics 9, no. 2 (1997): 43-58; and Murray N. Rothbard, Man, Economy, and State (Los Angeles: Nash, 1970). 25Caplan, “Probability and the Synthetic A Priori,” p. 79. 26Tbid., p. 79. ===== PAGE 11 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 89 I don't call these “quibbles” at all. Rather, my intellectual oppo- nent is re-arguing the issue of indifference, without citing, let alone mentioning, my previous objections to his views. So let me again ask my learned friend: Why would anyone bestir himself to act if he only expected to make a non-loss; e.g., not improve his subsequent position, after the act, even in the ex ante sense? Why, pray tell, would man act (to create a world as much to his liking in the future as one which would arise but for his action)? Why not do something else? Why not just turn over and go back to sleep, rather than waste energy achieving a state of affairs that is no better than the one he already has? Not only does praxeology cry out for an answer to these questions, so does common sense. Caplan writes: [Olnce you admit, as Block does, that synthetic a priori claims vary in probability, then even the synthetic a priori can be empirically tested. . . . Itis true, as Austrians have long insisted, that there is no point empirically testing synthetic a priori claims known with cer- tainty. Empirically testing less solid synthetic a priori propositions, in contrast, can be fruitful 27 There is so much wrong here it is hard to know where to start. First of all, there is no such thing as a “less solid” synthetic a priori proposition, and a “more solid” synthetic a priori proposition. All synthetic a priori propositions are equally “solid” from a logical per- spective. From a psychological viewpoint, there are some that are harder to grasp, and others that are easier, but, to the extent that a synthetic a priori proposition is a synthetic a priori proposition, its “solidity” from a logical point of view is equal. It may be harder to understand that 1,479 is the square root of 2,187,441 than that the square root of 9 is 3, but these two claims are equally valid or “solid.” Second, not only is it not “fruitful” to empirically test “less solid” synthetic a priori propositions, it is not even possible. Indeed, it is logically incoherent. Austrians do not reject empirical testing per se. Econometrics has a role to play with regard to economic state- ments that are not axiomatic, for example, concerning the magni- tude of a particular demand elasticity. Nor, even, is it denied among most praxeologists that regression analysis can be properly used with regard to axioms, i.e., synthetic a priori statements. Here, though, the role is not to use empirical research to test the axioms; rather, if anything, it is to have axioms test the empirical research. Or, better yet, econometric analysis can illustrate the underlying economic realities, as with, for example, minimum wages or rent 271bid., p. 80. ===== PAGE 12 ===== 90 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) controls. Thus, I am claiming that Caplan has failed to fully reckon with Mises’s elaboration upon these distinctions.?8 Caplan, however, offers perhaps the strangest analysis ever made in the history of methodology: Imagine that we were uncertain about the Pythagorean Theorem. We could spend more time checking out the steps of the proof. On the other hand, we might measure a wide variety of triangles to verify that c2 = a2 + b2. Both efforts would rationally tend to increase our confidence in the theorem, even though neither is foolproof. If we found a clear empirical counterexample, we would conclude that either the premises or the reasoning behind the theorem were incorrect, despite our inability to pinpoint them. . . . If less-than- certain empirical evidence contradicts an absolutely certain syn- thetic a priori claim, then, as the Austrians advise, we should ignore the empirics. The opposite holds if indubitable empirics contradict a less-than-certain synthetic a priori claim.2? Let us consider the errors here one by one. First, Caplan sug- gests that we measure a wide variety of triangles to verify that c2 = a? + b2. Suppose we find a triangle for which this is not true. But this means it is not a right triangle at all (obviously, the triangle does not contain a 90° angle)! The point is, we already have a criterion for a shape being a right triangle: namely, that 2 = a2 + b2. Let us make it even simpler. Triangles have three (straight) sides, and the internal angles add up to 180 degrees. How do we “test” this, pray tell? I can just see Caplan sending his graduate students out into “the field” to capture some wild triangles, corral them, see if they have three straight sides, and measure their internal angles. But shapes will be picked on the basis of having these characteristics in the first place! If this is a test, it is a fudged “test.” Second, what, precisely, can be meant by the phrase “indu- bitable empirics”? History, according to some wag, is “just one damn thing after another.” So is it with empirical research. This dis- cipline can never establish cause and effect, only, at best, constant conjunction or correlation. There was a lot of economic freedom (e.g., very little government regulation of the economy) in the U.S. in the eighteenth century, and the people were relatively poor. There is much less economic freedom in the U.S. in the twenty-first cen- tury, and the people are far wealthier, at least in terms of material goods. This, I suppose, is an “indubitable” empirical finding, if any- thing is, but it hardly establishes that government regulation 28See Ludwig von Mises, Theory and History (New Haven, Conn.: Yale Uni- versity Press, 1957). 29Caplan, “Probability and the Synthetic A Priori,” p. 80; emphasis in origi- nal. ===== PAGE 13 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 91 enriches a country. This is because empirical economics, or, better yet, “indubitable empirics,” cannot distinguish whether we are now richer because of or despite government interference with economic liberty. Third, there being no such thing as “indubitable empirics” in economics, and no such thing as anything less than “an absolutely certain synthetic a priori claim,” at least in the logical albeit not in the psychological sense, there can never be a case for rejecting any syn- thetic a priori proposition in favor of an empirical one, no matter how well established the latter, and complicated the former. Perhaps the real problem is with some specific synthetic a priori statements. If Caplan thinks he knows of some that are refuted by empirical evi- dence, then he should be able to point out the logical misstep(s) or faulty premise(s) that misled praxeologists into thinking such state- ments to be synthetic a priori statements when in fact they involved logical contradictions. This he has not done. This he has not even tried to do. This he has not recognized the need for, if his viewpoint is to even approach coherency. BAYESIAN CURE How, according to Caplan, are we best to explain the outraged reac- tion of the neoclassicals to the Card-Krueger claim concerning the employment effects of minimum wages? We are to utilize Bayesian insights. Caplan writes: The Bayesian model states, in essence, that rational people do not revise their whole worldview every time a new data point emerges. Rather, they marginally update their initial views as facts comes [sic] in.30 But this appears to be a very poor explanation on its very face. Even Caplan concedes: “Why then, as Block insightfully asks, do economists react so violently to empirical evidence against the con- ventional view of the minimum wage’s effect?”31 If they were really Bayesians, e.g., acting according to this model, these economists would marginally shift their perspective on the minimum wage law. They might be slightly surprised—this was just one new “data point”—but they would certainly not be angry. However, econo- mists were affronted, as well they should be, by the Card-Krueger “findings,” as even Caplan admits. Caplan writes: “Becker . . . had a ‘strong prior’: he was almost, but not quite, sure of the standard conclusion.”32 Caplan makes it 301bid., p. 81. 311bid., p. 80; emphasis added. 321bid., p. 81. ===== PAGE 14 ===== 92 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) sound as if Becker, who, presumably, had no strong feelings about the elasticity of bananas in Ohio in 1955, but thought it was -1, now confronts a new “data point” indicating it was really -1.1. Does Becker come out of the starting blocks with fire in his eye over this new “data point”? He does not. He calmly, and very slightly, adjusts his presumptions on this matter. But that is not at all what Becker and his colleagues did when these “two Princeton economists” rubbed the profession’s collective noses in their nonsensical claim. Rather, they were breathing fire on this matter, again, as Caplan himself acknowledges: “economists react so violently to empirical evidence against the conventional view of the minimum wage’s effect.”33 According to Caplan’s numerical example, Becker, upon reading Card-Krueger, reduces the probability he places on the typical econ- omists’ view of minimum wage employment effects from 98 percent to 95.5 percent. However, Becker reading Card-Krueger was more like waving a red flag in front of the bull, as even Caplan notes.34 It is very difficult to reconcile this with a slight movement in favor of that pernicious and fallacious position. Caplan writes: “Bayes’s Rule shows that we should automati- cally be more skeptical of empirical evidence in favor of an improb- able conclusion.”35 However, if this were all there were to the mat- ter, how would we ever initially establish truth in economics? The point is, to say the best possible for Bayesianism, we need some independent criterion of truth before it sets in, and this the system itself cannot furnish. Caplan lists three possible alternative explanations for the feroc- ity of the reaction to the Card-Krueger analysis on the part of the neoclassicals: Explanation #1: Neoclassical economists are covert praxeologists, though they will not admit it; Explanation #2: Neoclassical economists are intellectually dishon- est dogmatists posing as empirical scientists; [or] Explanation #3: Neoclassical economists are Bayesians with some strong priors.30 Let us focus on 1 and 3, the only two possible explanations that interest me here. Caplan correctly attributes belief in the first to me, 33Ibid., pp. 81, 80; emphasis added. 341bid., p. 82. 351bid., p. 82. 361bid., pp. 80-81. ===== PAGE 15 ===== REJOINDER TO CAPLAN ON BAYESIAN ECONOMICS — 93 and in the third to himself. The problem I have with his treatment of these two alternatives is that he believes implicitly that they are incompatible with one another. Caplan’s view is that if he can prove explanation 3 correct, he disproves, or at least disparages, explana- tion 1. However, I cannot see my way clear to agreeing with this. It seems to me that the two alternatives are compatible with one another. Both can be true, together. Neither contradicts the other. Now, I have given reason just above to indicate why I disagree with explanation 3. But let us assume, arguendo, that 1 accept?” Caplan’s Bayesian explanation. Why does that prove that explana- tion 1 is false? The reason that explanations 1 and 3 are not neces- sarily contrary to one another is that they occupy different philo- sophical categories. Explanation 1 is a claim that neoclassicals are really praxeologists, a logical category. Explanation 3 is a claim that neoclassicals form their beliefs on the basis of Bayesian considera- tions, and belongs to the realm of psychology. Caplan, in order to undermine explanation 1, will have to do better than merely to suc- cessfully defend explanation 3—which he has not done anyway. He will have to come to grips, directly, with explanation 1, something he has not even attempted to do, let alone accomplished. Basic economic theory tells us, with a single voice, that rent con- trol causes housing shortages. However, several of my econometric regression results failed to bear this out. Caplan offers a Bayesian explanation, according to which these anomalous results were almost three times as likely to be flawed as his regular results. His dissertation committee justifiably greeted the former with extra skepticism.38 But why? Without economic theory to guide us, it is as likely that rent control causes housing shortages as that it solves them. True, most empirical results support the shortage hypothesis, but truth can never be demonstrated based on majority vote. Moreover, according to Caplan’s own analysis, new “data points” are sup- posed to shift received opinion in their direction.3? E.g., he is on record as stating that, due to Card-Krueger, Becker's trust in the view that minimum wages cause unemployment shifted from 98 percent to 95.5 percent. Why wasn’t my dissertation committee 37Lest there be any misunderstanding here, I reiterate my rejection of expla- nation 3. I am only assuming this proposition to be correct for the sake of argument in an attempt at a reductio. This should not be interpreted as a “concession” to Caplan’s Bayesian analysis. 38Caplan, “Probability and the Synthetic A Priori,” p. 83. 3Nbid., p. 82. ===== PAGE 16 ===== 94 — JOURNAL OF LIBERTARIAN STUDIES 19, NO. 1 (WINTER 2005) similarly moved in my direction by my “findings” that rent control solves housing shortages? They should have been, on Caplan’s Bayesian account. However, let me assure you, I was there, and this was not at all their reaction. Rather than being slightly moved in my direction, they were derisive and, if truth be told, dismissive and even disappointed. That is, the fix was in. We all knew the correct results. The incorrect ones were fudged away. CONCLUSION Caplan has launched the third Austrian Methodenstreit. But, as in the other two cases, he has not succeeded in overturning the Austrian edifice. As they say in boxing, he has not so much as laid a glove on it. His publications in this vein, along with the critiques they have engendered, have instead served to strengthen praxeology. Caplan simplistically confuses logic and psychology, and his Bayesian account is of no account. BIBLIOGRAPHY Anderson, William, Walter Block, Thomas J. 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