Archives For incommensurability

Author Information: Moti Mizrahi, Florida Institute of Technology, mmizrahi@fit.edu

Mizrahi, Moti. “The (Lack of) Evidence for the Kuhnian Image of Science.” Social Epistemology Review and Reply Collective 7, no. 7 (2018): 19-24.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Z5

See also:

Image by Narcis Sava via Flickr / Creative Commons

 

Whenever the work of an influential philosopher is criticized, a common move made by those who seek to defend the influential philosopher’s work is to claim that his or her ideas have been misconstrued. This is an effective move, of course, for it means that the critics have criticized a straw man, not the ideas actually put forth by the influential philosopher. However, this move can easily backfire, too.

For continued iterations of this move could render the ideas in question immune to criticism in a rather ad hoc fashion. That is to say, shouting “straw man” every time an influential philosopher’s ideas are subjected to scrutiny is rather like shouting “wolf” when none is around; it could be seen as an attempt to draw attention to that which may not be worthy of attention.

The question, then, is whether the influential philosopher’s ideas are worthy of attention and/or acceptance. In particular, are Kuhn’s ideas about scientific revolutions and incommensurability worthy of acceptance? As I have argued, along with a few other contributors to my edited volume, The Kuhnian Image of Science: Time for a Decisive Transformation? (2018), they may not be because they are based on dubious assumptions and fallacious argumentation.

In their reviews of The Kuhnian Image of Science: Time for a Decisive Transformation? (2018), both Markus Arnold (2018) and Amanda Bryant (2018) complain that the contributors who criticize Kuhn’s theory of scientific change have misconstrued his philosophy of science and they praise those who seek to defend the Kuhnian image of science. In what follows, then, I would like to address their claims about misconstruing Kuhn’s theory of scientific change. But my focus here, as in the book, will be the evidence (or lack thereof) for the Kuhnian image of science. I will begin with Arnold’s review and then move on to Bryant’s review.

Arnold on the Evidence for the Kuhnian Image of Science

Arnold (2018, 42) states that “one of the results of [his] review” is that “the ‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis (found in the first part of the book) is actually its weakest part.” I am not sure what he means by that exactly. First, I am not sure in what sense inductive reasoning can be said to refute a thesis, given that inductive arguments are the sort of arguments whose premises do not necessitate the truth of their conclusions, whereas a refutation of p, if sound, supposedly shows that p must be false.

Second, contrary to what Arnold claims, I do not think that the chapters in Part I of the book contain “‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis” (Arnold 2018, 42). Speaking of my chapter in particular, Chapter 1 (Mizrahi 2018b, 32-38), it contains two arguments intended to show that there is no deductive support for the Kuhnian thesis of taxonomic incommensurability (Mizrahi 2018b, 32), and an argument intended to show that there is no inductive support for the Kuhnian thesis of taxonomic incommensurability (Mizrahi 2018b, 37).

These arguments are deductive, not inductive, for their premises, if true, guarantee the truth of their conclusions. Besides, to argue that there is no evidence for p is not the same as arguing that p is false. None of my arguments is intended to show that p (namely, the Kuhnian thesis of taxonomic incommensurability) is false.

Rather, my arguments show that there is no evidence for p (namely, the Kuhnian thesis of taxonomic incommensurability). For these reasons, as a criticism of Part I of the book, Arnold’s (2018, 42) claim that “the ‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis (found in the first part of the book) is actually its weakest part” completely misses the mark.

Moreover, the only thing I could find in Arnold’s review that could be construed as support for this claim is the aforementioned complaint about straw-manning Kuhn. As Arnold (2018, 43) puts it, “the counter-arguments under consideration brought forward against his model seem, paradoxically, to underestimate the complexity of Kuhn’s claims.”

In other words, Kuhn’s theory of scientific change is so complex and those who attempt to criticize it fail to appreciate its complexity. But why? Why do the criticisms fail to appreciate the complexity of Kuhn’s theory? How complex is it such that it defies interpretation and criticism? Arnold does not say. Instead, he (Arnold 2018, 43) states that “it is not clear, why Kuhn’s ‘image of science’ should be dismissed because […] taxonomic incommensurability ‘is the exception rather than the rule’ [Mizrahi 2018b,] (38).”

As I argue in Chapter 1, however, the fact that taxonomic incommensurability “is the exception rather than the rule” (Mizrahi 2018b, 38) means that Kuhn’s theory of scientific change is a bad theory because it shows that Kuhn’s theory has neither explanatory nor predictive power. A “theory” with no explanatory and/or predictive power is no theory at all (Mizrahi 2018b, 37-38). From his review, however, it is clear that Arnold thinks of Kuhn’s image of science as a theory of scientific change.

For instance, he talks about “Kuhn’s epistemology” (Arnold 2018, 45), “Kuhn’s theory of incommensurability” (Arnold 2018, 46), and Kuhn’s “complex theory of science” (Arnold 2018, 42). If Kuhn’s thesis of taxonomic incommensurability has no explanatory and/or predictive power, then it is a bad theory, perhaps not even a theory at all, let alone a general theory of scientific knowledge or scientific change.

In that respect, I found it rather curious that, on the one hand, Arnold approves of Alexandra Argamakova’s (2018) criticism of the universal ambitions of Kuhn’s image of science, but on the other hand, he wants to attribute to Kuhn the view that “scientific revolutions are rare” (Arnold 2018, 43). Arnold quotes with approval Argamakova’s (2018, 54) claim that “distinct breakthroughs in science can be marked as revolutions, but no universal system of criteria for such appraisal can be formulated in a normative philosophical manner” (emphasis added).

In other words, if Argamakova is right, then there can be no philosophical theory of scientific change in general, Kuhnian or otherwise. So Arnold cannot be in agreement with Argamakova without thereby abandoning the claim that Kuhn’s image of science is an “epistemology” (Arnold 2018, 45) of scientific knowledge or a “complex theory of science” (Arnold 2018, 42).

Arnold (2018, 45) also asserts that “the allegation that Kuhn developed his theory on the basis of selected historical cases is refuted” by Kindi (2018). Even if that were true, it would mean that Kuhn’s theory has no inductive support, as I argue in Chapter 1 of the book (Mizrahi 2018b, 32-38). So I am not sure how this point is supposed to help Arnold in defending the Kuhnian image of science. For if there is no inductive support for the Kuhnian image of science, as Arnold seems to think, and there is no deductive support either, as I (Mizrahi 2018b, 25-44) and Park (2018, 61-74) argue, then what evidence is there for the Kuhnian image of science?

For present purposes, the important point is not how Kuhn “developed his theory” (Arnold 2018, 45) but rather what supports his theory of scientific change. What is the evidence for a Kuhnian theory of scientific change? If I am right (Mizrahi 2018b), or if Park (2018) is right, then there is neither deductive support nor inductive support for a Kuhnian theory of scientific change. If Argamakova is right, then there can be no general theory of scientific change at all, Kuhnian or otherwise.

It is also important to note here that Arnold (2018, 45) praises both Kindi (2018) and Patton (2018) for offering “a close reading of Kuhn’s work,” but he does not mention that they offer incompatible interpretations of that work, specifically, of the evidence for Kuhn’s ideas about scientific change. On Kindi’s reading of Kuhn, the argument for the Kuhnian image of science is a deductive argument from first principles, whereas on Patton’s reading of Kuhn, the argument for the Kuhnian image of science is an inference to the best explanation (see Patton 2015, cf. Mizrahi 2018a, 12-13; Mizrahi 2015, 51-53).

Bryant on the Evidence for the Kuhnian Image of Science

Like Arnold, Bryant (2018, 1) wonders whether Kuhn’s views on scientific change can be pinned down and criticized or perhaps there are many “Thomases Kuhn.” Again, I think we do not want to make Kuhn’s views too vague and/or ambiguous (Argamakova 2018, 47-50), and thus immune to criticism in a rather ad hoc fashion. For that, in addition to being based on dubious assumptions and fallacious argumentation, would be another reason to think that Kuhn’s views are not worthy of acceptance.

Bryant (2018, 1) also wonders “whether the so-called Kuhnian image of science is really so broadly endorsed as to be the potential subject of (echoing Kuhn’s own phrase) a ‘decisive transformation’.” As I see it, however, the question is not whether the Kuhnian image of science is “broadly endorsed.” Rather, the question is whether “we are now possessed” by it. When Kuhn wrote that (in)famous first line of the introduction to The Structure of Scientific Revolutions, the image of science by which we were possessed was a positivist image of science according to which science develops “by the accumulation of individual discoveries and inventions” (Kuhn 1962/1996, 2). Arguably, philosophers of science were never possessed by such a positivist image of science as much as they are possessed by the Kuhnian image of science.

This is evidenced by the fact that no positivist work in philosophy of science has had as much impact as Kuhn’s seminal work (Mizrahi 2018a, 1-2). Accordingly, even if the Kuhnian image of science is not “broadly endorsed,” it is quite clear that philosophers of science are possessed by it. For this reason, an “exorcism,” or a “decisive transformation,” is required in order to rid ourselves of this image of science. And what better way to do so than by showing that it is based on dubious assumptions and fallacious argumentation.

As far as the evidence (or lack thereof) for the Kuhnian image of science, Bryant (2018, 2) claims that “Case studies can be interesting, informative, and evidential” (emphasis added). I grant that case studies can be interesting and informative, but I doubt that they can be evidential. From “Scientific episode E has property F,” it does not follow that F is a characteristic of scientific episodes in general. As far as Kuhn is concerned, it is clear that he used just a few case studies (e.g., the phlogiston case) in support of his ideas about scientific change and incommensurability.

The problem with that, as I argue in Chapter 1 of the book (Mizrahi 2018b, 32-38), is that no general theory of scientific change can be derived from a few cherry-picked case studies. Even if we grant that the phlogiston case is a genuine case of a so-called “Kuhnian revolution” and taxonomic incommensurability, despite the fact that there are rebutting defeaters (Mizrahi 2018b, 33-36), no general conclusions about the nature of science can be drawn from one (or even a few) such cases (Mizrahi 2018b, 36-37).

From the fact that one (or a few) cherry-picked episode(s) from the history of science exhibits a particular property, it does not follow that all scientific episodes have that property; otherwise, from the “Piltdown man” episode we would have to conclude that fraud characterizes scientific discovery in general (Mizrahi 2018b, 37-38).

Speaking of scientific discovery, Bryant (2018, 2) takes issue with the fact that I cite “just two authors, Eric Oberheim and Paul Hoyningen-Huene, who use the language of discovery to characterize incommensurability.” For Bryant (2018, 2), this suggests that “it isn’t clear that the assumption Mizrahi takes pains to reject is particularly widespread” (emphasis added). I suppose that “the assumption” in question here is that Kuhn “discovered” incommensurability.

If so, then I would like to clarify that I mention the fact that Oberheim and Hoyningen-Huene talk about incommensurability in terms of discovery, and claim that Kuhn “discovered” it, not to argue against it (i.e., to argue that Kuhn did not discover incommensurability), but rather to show that some of the elements of the Kuhnian image of science, such as incommensurability, are sometimes taken for granted. When it is said that someone has discovered something, it gives the impression that what has been discovered is a fact, and so no arguments are needed.

When it comes to incommensurability, however, it is far from clear that it is a fact about scientific change, and so good arguments are needed in order to establish that episodes of scientific change exhibit taxonomic incommensurability. If I am right, or if Park (2018) and Sankey (2018) are right, then there are no good arguments that establish this.

Not Conclusions, But Questions

In light of the above, I think that the questions raised in the edited volume under review remain urgent (cf. Rehg 2018). Are there good reasons or compelling evidence for the Kuhnian model of theory change in science? If there are no good reasons or compelling evidence for such a model, as I (Mizrahi 2018b), Park (2018), and Sankey (2018) argue, what’s next for philosophers of science? Should we abandon the search for a general theory of science, as Argamakova (2018) suggests? Are there better models of scientific change? Perhaps evolutionary (Marcum 2018) or orthogenetic (Renzi and Napolitano 2018) models?

• • •

I would like to thank Markus Arnold and Amanda Bryant for their thoughtful reviews. I am also grateful to Adam Riggio and Eric Kerr for organizing this book symposium and for inviting me to participate.

Contact details: mmizrahi@fit.edu

References

Argamakova, Alexandra. “Modeling Scientific Development: Lessons from Thomas Kuhn.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 45-59. London: Rowman & Littlefield, 2018.

Arnold, Markus. “Is There Anything Wrong With Thomas Kuhn?” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 42-47.

Bryant, Amanda. “Each Kuhn Mutually Incommensurable.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

Kindi, Vasso. “The Kuhnian Straw Man.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 95-112. London: Rowman & Littlefield, 2018.

Kuhn, Thomas S. The Structure of Scientific Revolutions. Third Edition. Chicago: The University of Chicago Press, 1962/1996.

Marcum, James A. “Revolution or Evolution in Science? A Role for the Incommensurability Thesis?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 155-173. London: Rowman & Littlefield, 2018.

Mizrahi, Moti. “A Reply to Patton’s ‘Incommensurability and the Bonfire of the Meta-Theories.” Social Epistemology Review and Reply Collective 4, no. 10 (2015): 51-53.

Mizrahi, Moti. “Introduction.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 1-22. London: Rowman & Littlefield, 2018a.

Mizrahi, Moti. “Kuhn’s Incommensurability Thesis: What’s the Argument?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 25-44. London: Rowman & Littlefield, 2018b.

Park, Seungbae. “Can Kuhn’s Taxonomic Incommensurability be an Image of Science?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 61-74. London: Rowman & Littlefield, 2018.

Patton, Lydia. “Incommensurability and the Bonfire of the Meta-Theories: Response to Mizrahi.” Social Epistemology Review and Reply Collective 4, no. 7 (2015): 51-58.

Patton, Lydia. “Kuhn, Pedagogy, and Practice: A Local Reading of Structure.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 113-130. London: Rowman & Littlefield, 2018.

Rehg, William. “Kuhn’s Image of Science.” Metascience (2018): https://doi.org/10.1007/s11016-018-0306-2.

Renzi, Barbara G. and Giulio Napolitano. “The Biological Metaphors of Scientific Change.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 177-190. London: Rowman & Littlefield, 2018.

Author Information: James A. Marcum, Baylor University, james_marcum@baylor.edu

Marcum, James A. “A Role for Taxonomic Incommensurability in Evolutionary Philosophy of Science.” Social Epistemology Review and Reply Collective 7, no. 7 (2018): 9-14.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3YP

See also:

Image by Sanofi Pasteur via Flickr / Creative Commons

 

In a review of my chapter (Marcum 2018), Amanda Bryant (2018) charges me with failing to discuss the explanatory role taxonomic incommensurability (TI) plays in my revision of Kuhn’s evolutionary philosophy of science. To quote Bryant at length,

One of Marcum’s central aims is to show that incommensurability plays a key explanatory role in a refined version of Kuhn’s evolutionary image of science. The role of incommensurability on this view is to account for scientific speciation. However, Marcum shows only that we can characterize scientific speciation in terms of incommensurability, without clearly establishing the explanatory payoff of so doing. He does not succeed in showing that incommensurability has a particularly enriching explanatory role, much less that incommensurability is “critical for conceptual evolution within the sciences” or “an essential component of…the growth of science” (168).

Bryant is right. I failed to discuss the explanatory role of TI for the three historical case studies, as listed in Table 8.1, in section 5, “Revising Kuhn’s Evolutionary Image of Science and Incommensurability,” of my chapter. Obviously, my aim in this response, then, is to amend that failure by discussing TI’s role in the case studies and by revising the chapter’s Table to include TI.

Before discussing the role of TI in the historical case studies, I first develop the notion of TI in terms of Kuhn’s revision of the original incommensurability thesis. Kuhn (1983) responded to critics of the original thesis in a symposium paper delivered at the 1982 biannual meeting of the Philosophy of Science Association.

In the paper, Kuhn admitted that his primary intention for incommensurability was more “modest” than with what critics had charged him. Rather than radical or universal changes in terms and concepts—what is often called “global” incommensurability (Hoyningen-Huene 2005, Marcum 2015, Simmons 1994)—Kuhn claimed that only a handful of terms and concepts are incommensurable after a paradigm shift. He called this thesis “local” incommensurability.

More Common Than Incommensurable

Kuhn’s revision of the original incommensurability thesis has important implications for the TI thesis. To that end, I propose three types of TI. The first is comparable to Kuhn’s local incommensurability in which only a small number of terms and concepts are incommensurable, between the lexicons of two scientific specialties. The second is akin to global incommensurability in which two lexicons are radically and universally incommensurable with one another—sharing only a few commensurable terms and concepts.

An example of this type of incommensurability is the construction of a drastically new lexicon accompanying the evolution of a specialty. Both local and global TI represent, then, two poles along a continuum. For the type of TI falling along this continuum, I propose the notion of regional TI—in keeping with the geographical metaphor.

Unfortunately, sharper delineation among the three types of TI in terms of the quantity and quality of incommensurable and commensurable terms and concepts composing taxonomically incommensurable lexicons cannot be made currently, other than local TI comprises one end of the continuum while global TI the other end, with regional TI occupying an intermediate position between them. Notwithstanding this imprecise delineation, the three types of TI are apt for explaining the evolution of the microbiological specialties of bacteriology, virology, and retrovirology, especially with respect to their tempos and modes.

Revised Table. Types of tempo, mode, and taxonomic incommensurability for the evolution of microbiological specialties of bacteriology, virology, and retrovirology (see text for details).

Scientific Specialty Tempo Mode Taxonomic

Incommensurability

 

Bacteriology Bradytelic Phyletic Global

 

Virology Tachytelic Quantal Regional

 

Retrovirology Horotelic Speciation Local

 

 

Examples Bacterial and Viral

As depicted in the Revised Table, the evolution of bacteriology, with its bradytelic tempo and phyletic mode, is best accounted for through global TI. A large number of novel incommensurable terms and concepts appeared with the evolution of bacteriology and the germ theory of disease, and global TI afforded the bacteriology lexicon the conceptual space to evolve fully and independently by isolating that lexicon from both botany and zoology lexicons, as well as from other specialty lexicons in microbiology.

For example, in terms of microbiology as a specialty separate from botany and zoology, bacteria are prokaryotes compared to other microorganisms such as algae, fungi, and protozoa, which are eukaryotes. Eukaryotes have a nucleus surrounded by a plasma membrane that separates the chromosomes from the cytoplasm, while prokaryotes do not. Rather, prokaryotes like bacteria have a single circular chromosome located in the nucleoid region of the cell.

However, the bacteriology lexicon does share a few commensurable terms and concepts with the lexicons of other microbiologic specialties and with the cell biology lexicons of botany and zoology. For example, both prokaryotic and eukaryotic cells contain a plasma membrane that separates the cell’s interior from the external environment. Examples of many other incommensurable (and of a few commensurable) terms and concepts make up the lexicons of these specialties but suffice these examples to provide how global TI provided the bacteriology lexicon a cognitive environment so that it could evolve as a distinct specialty.

Also, as depicted in the Revised Table, the evolution of virology, with its tachytelic tempo and quantal mode, is best accounted for through regional TI. A relatively smaller number of new incommensurable terms and concepts appeared with the evolution of virology compared to the evolution of bacteriology, and regional TI afforded the virology lexicon the conceptual space to evolve freely and self-sufficiently by isolating that lexicon from the bacteriology lexicon, as well as from other biology lexicons.

For example, the genome of the virus is surrounded by a capsid or protein shell, which distinguishes it from both prokaryotes and eukaryotes—neither of which have such a structure. Moreover, viruses do not have a constitutive plasma membrane, although some viruses acquire a plasma membrane from the host cell when exiting it during lysis. However, the function of the viral plasma membrane is different from that for both prokaryotes and eukaryotes.

Interestingly, the term plasma membrane for the virology lexicon is both commensurable and incommensurable, when compared to other biology lexicons. The viral plasma membrane is commensurable in that it is comparable in structure to the plasma membrane of prokaryotes and eukaryotes but it is incommensurable in that it functions differently. Finally, some viral genomes are composed of DNA similar to prokaryotic and eukaryotic genomes while others are composed of RNA; and, it is this RNA genome that led to the evolution of the retrovirology specialty.

Image by AJC1 via Flickr / Creative Commons

And As Seen in the Retrovirological

As depicted lastly in the Revised Table, the evolution of retrovirology, with its horotelic tempo and speciation mode, is best accounted for through local TI. An even smaller number of novel incommensurable terms and concepts accompanied the evolution of retrovirology as compared to the number of novel incommensurable terms and concepts involved in the evolution of the virology lexicon vis-à-vis the bacteriology lexicon.

And, as true for the role of TI in the evolution of bacteriology and virology, local TI afforded the retrovirology lexicon the conceptual space to evolve rather autonomously by isolating that lexicon from the virology and bacteriology lexicons. For example, retroviruses, as noted previously, contain only an RNA genome but the replication of the retrovirus and its genome does not involve replication of the RNA genome from the RNA directly, as for other RNA viruses.

Rather, retrovirus replication involves the formation of a DNA provirus through the enzyme reverse transcriptase. The DNA provirus is subsequently incorporated into the host’s genome, where it remains dormant until replication of the retrovirus is triggered.

The incommensurability associated with retrovirology evolution is local since only a few incommensurable terms and concepts separate the virology and retrovirology lexicons. But that incommensurability was critical for the evolution of the retrovirology specialty (although given how few incommensurable terms and concepts exist between the virology and retrovirology lexicons, a case could be made for retrovirology representing a subspecialty of virology).

Where the Payoff Lies

In her review, Bryant makes a distinction, as quoted above, between characterizing the evolution of the microbiological specialties via TI and explaining their evolution via TI. In terms of the first distinction, TI is the product of the evolution of a specialty and its lexicon. In other words, when reconstructing historically the evolution of a specialty, the evolutionary outcome is a new specialty and its lexicon—which is incommensurable locally, regionally, or globally with respect to other specialty lexicons.

For example, the retrovirology lexicon—when compared to the virology lexicon—has few incommensurable terms, such as DNA provirus and reverse transcriptase. The second distinction involves the process or mechanism by which the evolution of the specialty’s lexicon takes place vis-à-vis TI. In other words, TI plays a critical role in the evolutionary process of a specialty and its lexicon.

Keeping with the retrovirology example, the experimental result that actinomysin D inhibits Rous sarcoma virus was an important anomaly with respect to the virology lexicon, which could only explain the replication of RNA viruses in terms of the Central Dogma’s flow of genetic information. TI, then, represents the mechanism, i.e. by providing the conceptual space, for the evolution of a new specialty with respect to incommensurable terms and concepts.

In conclusion, the “explanatory payoff” for TI with respect to the revised Kuhnian evolutionary philosophy of science is that such incommensurability provides isolation for a scientific specialty and its lexicon so that it can evolve from a parental stock. For, without the conceptual isolation to develop its lexicon, a specialty cannot evolve.

Just as biological species like Darwin’s Galápagos finches, for instance, required physical isolation from one another to evolve (Lack 1983), so the evolving microbiological specialties also required conceptual isolation from one another and from other biology specialties and their lexicons. TI accounts for or explains the evolution of science and its specialties in terms of providing the necessary conceptual opportunity for the specialties to emerge and then to evolve.

Moreover, it is of interest to note that an apparent relationship exists between the various tempos and modes and the different types of TI. For example, the retrovirology case study suggests that local TI is commonly associated with a horotelic tempo and speciation mode—which to some extent makes sense intuitively. In other words, speciation requires far fewer lexical changes than phylogeny, which requires many more lexical changes or an almost completely new lexicon—as the evolution of bacteriology illustrates.

The proposed evolutionary philosophy of science, then, accounts for the emergence of bacteriology in terms of a specific tempo and mode, as well as a particular type of TI; and, it thereby provides a rich explanation for its emergence. Furthermore, the quantity and quality of taxonomically incommensurable terms and concepts involved in the evolution of the microbiology specialties suggest the following relative frequency for the different types of TI: local TI > regional RI > global TI.

The Potential of Evolutionary Paradigms

Finally, I proposed in my chapter that Kuhn’s revised evolutionary philosophy of science is a good candidate for a general philosophy of science, even in light of philosophy of science’s current pluralistic or perspectival stance. Interestingly, regardless of the increasing specialization within the natural sciences (Wray 2005), these sciences are moving towards integration in order to tackle complex natural phenomena. For example, cancer is simply too complex a disease to succumb to a single specialty (Williams 2015).

The revised Kuhnian evolutionary philosophy of science helps to appreciate and account for the drive and need for integration of different scientific specialties to investigate complex natural phenomena, such as cancer. Specifically, one of the important reasons for the integration is that no single scientist can master the necessary lexicons, whether biochemistry, bioinformatics, cell biology, genomic biology, immunology, molecular biology, physiology, etc., needed to investigate and eventually to cure the disease. A scientist might be bilingual or even trilingual with respect to specialties but certainly not multilingual.

The conceptual and methodological approach, which integrates these various specialties, stands a better chance in discovering the pathological mechanisms involved in carcinogenesis and thereby in developing effective therapies. Integrated science, then, requires a systems or network approach since no one scientists can master the various specialties needed to investigate a complex natural phenomenon.

In the end, TI helps to make sense of why integrated science is important for the future evolution of science and of how an evolutionary philosophy of science can function as a general philosophy of science.

Contact details: james_marcum@baylor.edu

References

Bryant, Amanda. “Each Kuhn Mutually Incommensurable”, Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

Hoyningen-Huene, Paul. “Three Biographies: Kuhn, Feyerabend, and Incommensurability”, In Rhetoric and Incommensurability. Randy A. Harris (ed.), West Lafayette, IN: Parlor Press, (2005): 150-175.

Kuhn, Thomas S. “Commensurability, Comparability, Communicability”, PSA: 1982, no. 2

(1983): 669-688.

Lack, David. Darwin’s Finches. Cambridge: Cambridge University Press, (1983).

Marcum, James A. Thomas Kuhn’s Revolutions: A Historical and an Evolutionary Philosophy of Science. London: Bloomsbury, (2015).

Marcum, James A. “Revolution or Evolution in Science?: A Role for the Incommensurability Thesis?”, In The Kuhnian Image of Science: Time for a Decisive Transformation? Moti Mizrahi (ed.), Lanham, MD: Rowman & Littlefield, (2018): 155-173.

Simmons, Lance. “Three Kinds of Incommensurability Thesis”, American Philosophical Quarterly 31, no. 2 (1994): 119-131.

Williams, Sarah C.P. “News Feature: Capturing Cancer’s Complexity”, Proceedings of the National Academy of Sciences, 112, no. 15 (2015): 4509-4511.

Wray, K. Brad. “Rethinking Scientific Specialization”, Social Studies of Science 35. no. 1 (2005): 151-164.

Author Information: Moti Mizrahi, Florida Institute of Technology, mmizrahi@fit.edu

Mizrahi, Moti. “Weak Scientism Defended Once More.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 41-50.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Yx

See also:

One of Galileo’s original compasses, on display at the Museo Galileo, a feature of the Instituto e Museo di Storia della Scienza in Florence, Italy.
Image by Anders Sandberg via Flickr / Creative Commons

 

Bernard Wills (2018) joins Christopher Brown (2017, 2018) in criticizing my defense of Weak Scientism (Mizrahi 2017a, 2017b, 2018a). Unfortunately, it seems that Wills did not read my latest defense of Weak Scientism carefully, nor does he cite any of the other papers in my exchange with Brown. For he attributes to me the view that “other disciplines in the humanities [in addition to philosophy] do not produce knowledge” (Wills 2018, 18).

Of course, this is not my view and I affirm no such thing, contrary to what Wills seems to think. I find it hard to explain how Wills could have made this mistake, given that he goes on to quote me as follows: “Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such knowledge is explanatorily, instrumentally, and predictively more successful than non-scientific knowledge” (Mizrahi 2018a, 7; quoted in Wills 2018, 18).

Clearly, the claim ‘Scientific knowledge is better than non-scientific knowledge’ entails that there is non-scientific knowledge. If the view I defend entails that there is non-scientific knowledge, then it cannot also be my view that “science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18).

Even if he somehow missed this simple logical point, reading the other papers in my exchange with Brown should have made it clear to Wills that I do not deny the production of knowledge by non-scientific disciplines. In fact, I explicitly state that “science produces scientific knowledge, mathematics produces mathematical knowledge, philosophy produces philosophical knowledge, and so on” (Mizrahi 2017a, 353). Even in my latest reply to Brown, which is the only paper from my entire exchange with Brown that Wills cites, I explicitly state that, if Weak Scientism is true, then “philosophical knowledge would be inferior to scientific knowledge both quantitatively (in terms of research output and research impact) and qualitatively (in terms of explanatory, instrumental, and predictive success)” (Mizrahi 2018a, 8).

If philosophical knowledge is quantitatively and qualitatively inferior to scientific knowledge, then it follows that there is philosophical knowledge. For this reason, only a rather careless reader could attribute to me the view that “other disciplines in the humanities [in addition to philosophy] do not produce knowledge” (Wills 2018, 18).

There Must Be Some Misunderstanding

Right from the start, then, Wills gets Weak Scientism wrong, even though he later writes that, according to Weak Scientism, “there may be knowledge of some sort outside of the sciences” (Wills 2018, 18). He says that he will ignore the quantitative claim of Weak Scientism and focus “on the qualitative question and particularly on the claim that science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18). Wills can focus on whatever he wants, of course, but that is not Weak Scientism.

Weak Scientism is not the view that only science produces real knowledge; that is Strong Scientism (Mizrahi 2017a, 353). Rather, Weak Scientism is the view that, “Of all the knowledge we have [i.e., there is knowledge other than scientific knowledge], scientific knowledge is the best knowledge” (Mizrahi 2017a, 354). In other words, scientific knowledge “is simply the best; better than all the rest” (Mizrahi 2017b, 20). Wills’ criticism, then, misses the mark completely. That is, it cannot be a criticism against Weak Scientism, since Weak Scientism is not the view that “science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18).

Although he deems the quantitative superiority of scientific knowledge over non-scientific knowledge “a tangential point,” and says that he will not spend time on it, Wills (2018, 18) remarks that “A German professor once told [him] that in the first half of the 20th Century there were 40,000 monographs on Franz Kafka alone!” Presumably, Wills’ point is that research output in literature exceeds that of scientific disciplines. Instead of relying on gut feelings and hearsay, Wills should have done the required research in order to determine whether scholarly output in literature really does exceed the research output of scientific disciplines.

If we look at the Scopus database, using the data and visualization tools provided by Scimago Journal & Country Rank, we can see that research output in a natural science like physics and a social science like psychology far exceeds research output in humanistic disciplines like literature and philosophy. On average, psychology has produced 15,000 more publications per year than either literature or philosophy between the years 1999 and 2017. Likewise, on average, physics has produced 54,000 more publications per year than either literature or philosophy between the years 1999 and 2017 (Figure 1). 

Figure 1. Research output in Literature, Philosophy, Physics, and Psychology from 1999 to 2017 (Source: Scimago Journal & Country Rank)

Contrary to what Wills seems to think or what his unnamed German professor may have told him, then, it is not the case that literary scholars produce more work on Shakespeare or Kafka alone than physicists or psychologists produce. The data from the Scopus database show that, on average, it takes literature and philosophy almost two decades to produce what psychology produces in two years or what physics produces in a single year (Mizrahi 2017a, 357-359).

In fact, using JSTOR Data for Research, we can check Wills’ number, as reported to him by an unnamed German professor, to find out that there are 13,666 publications (i.e., journal articles, books, reports, and pamphlets) on Franz Kafka from 1859 to 2018 in the JSTOR database. Clearly, that is not even close to “40,000 monographs on Franz Kafka alone” in the first half of the 20th Century (Wills 2018, 18). By comparison, as of May 22, 2018, the JSTOR database contains more publications on the Standard Model in physics and the theory of conditioning in behavioral psychology than on Franz Kafka or William Shakespeare (Table 1).

Table 1. Search results for ‘Standard Model’, ‘Conditioning’, ‘William Shakespeare’, and ‘Franz Kafka’ in the JSTOR database as a percentage of the total number of publications, n = 12,633,298 (Source: JSTOR Data for Research)

  Number of Publications Percentage of JSTOR corpus
Standard Model 971,968 7.69%
Conditioning 121,219 0.95%
William Shakespeare 93,700 0.74%
Franz Kafka 13,667 0.1%

Similar results can be obtained from Google Books Ngram Viewer when we compare published work on Shakespeare, which Wills thinks exceeds all published work in other disciplines, for he says that “Shakespeare scholars have all of us beat” (Wills 2018, 18), with published work on a contemporary of Shakespeare (1564-1616) from another field of study, namely, Galileo (1564-1642). As we can see from Figure 2, from 1700 to 2000, ‘Galileo’ consistently appears in more books than ‘William Shakespeare’ does.

Figure 2. Google Books results for ‘William Shakespeare’ and ‘Galileo’ from 1700 to 2000 (Source: Google Books Ngram Viewer)

Racking Up the Fallacies

Wills continues to argue fallaciously when he resorts to what appears to be a fallacious ad hominem attack against me. He asks (rhetorically?), “Is Mr. Mizrahi producing an argument or a mere rationalization of his privilege?” (Wills 2018, 19) It is not clear to me what sort of “privilege” Wills wants to claim that I have, or why he accuses me of colonialism and sexism, since he provides no arguments for these outrageous charges. Moreover, I do not see how this is at all relevant to Weak Scientism. Even if I am somehow “privileged” (whatever Wills means by that), Weak Scientism is either true or false regardless.

After all, I take it that Wills would not doubt his physician’s diagnoses just because he or she is “privileged” for working at a hospital. Whether his physician is “privileged” for working at a hospital has nothing to do with the accuracy of his or her diagnoses. For these reasons, Wills’ ad hominem is fallacious (as opposed to a legitimate ad hominem as a rebuttal to an argument from authority, see Mizrahi 2010). I think that SERRC readers will be better served if we focus on the ideas under discussion, specifically, Weak Scientism, not the people who discuss them.

Speaking of privilege and sexism, however, it might be worth noting that, throughout his paper, Wills refers to me as ‘Mr. Mizrahi’ (rather than ‘Dr. Mizrahi’ or simply ‘Mizrahi’, as is the norm in academic publications), and that he has misspelled my name on more than one occasion (Wills 2018, 18, 22, 24). Studies suggest that addressing female doctors with ‘Ms.’ or ‘Mrs.’ rather than ‘Dr.’ might reveal gender bias (see, e.g., Files et al. 2017). Perhaps forms of address reveal not only gender bias but also ethnic or racial bias when people with non-white or “foreign” names are addressed as Mr. (or Ms.) rather than Dr. (Erlenbusch 2018).

Aside from unsubstantiated claims about the amount of research produced by literary scholars, fallacious appeals to the alleged authority of unnamed German professors, and fallacious ad hominem attacks, does Wills offer any good arguments against Weak Scientism? He spends most of his paper (pages 19-22) trying to show that there is knowledge other than scientific knowledge, such as knowledge produced in the fields of “Law and Music Theory” (Wills 2018, 20). This, however, does nothing at all to undermine Weak Scientism. For, as mentioned above, Weak Scientism is the view that scientific knowledge is superior to non-scientific knowledge, which means that there is non-scientific knowledge; it’s just not as good as scientific knowledge (Mizrahi 2017a, 356).

The Core of His Concept

Wills finally gets to Weak Scientism on the penultimate page of his paper. His main objection against Weak Scientism seems to be that it is not clear to him how scientific knowledge is supposed to be better than non-scientific knowledge. For instance, he asks, “Better in what context? By what standard of value?” (Wills 2018, 23) Earlier he also says that he is not sure what are the “certain relevant respect” in which scientific knowledge is superior to non-scientific knowledge (Wills 2018, 18).

Unfortunately, this shows that Wills either has not read the other papers in my exchange with Brown or at least has not read them carefully. For, starting with my first defense of Weak Scientism (2017a), I explain in great detail the ways in which scientific knowledge is better than non-scientific knowledge. Briefly, scientific knowledge is quantitatively better than non-scientific knowledge in terms of research output (i.e., more publications) and research impact (i.e., more citations). Scientific knowledge is qualitatively better than non-scientific knowledge in terms of explanatory, instrumental, and predictive success (Mizrahi 2017a, 364; Mizrahi 2017b, 11).

Wills tries to challenge the claim that scientific knowledge is quantitatively better than non-scientific knowledge by exclaiming, “Does science produce more knowledge that [sic] anything else? Hardly” (Wills 2018, 23). He appeals to Augustine’s idea that one “can produce a potential infinity of knowledge simply by reflecting recursively on the fact of [one’s] own existence” (Wills 2018, 23). In response, I would like to borrow a phrase from Brown (2018, 30): “good luck getting that published!”

Seriously, though, the point is that Weak Scientism is a thesis about academic knowledge or research. In terms of research output, scientific disciplines outperform non-scientific disciplines (see Figure 1 and Table 1 above; Mizrahi 2017a, 357-359; Mizrahi 2018a, 20-21). Besides, just as “recursive processes can extend our knowledge indefinitely in the field of mathematics,” they can also extend our knowledge in other fields as well, including scientific fields. That is, one “can produce a potential infinity of knowledge simply by reflecting recursively on the” (Wills 2018, 23) Standard Model in physics or any other scientific theory and/or finding. For this reason, Wills’ objection does nothing at all to undermine Weak Scientism.

Wills (2018, 23) tries to problematize the notions of explanatory, instrumental, and predictive success in an attempt to undermine the claim that scientific knowledge is qualitatively better than non-scientific knowledge in terms of explanatory, instrumental, and predictive success. But it seems that he misunderstands these notions as they apply to the scientism debate.

As far as instrumental success is concerned, Wills (2018, 23) asks, “Does science have (taken in bulk) more instrumental success than other knowledge forms? How would you even count given that craft knowledge has roughly 3 million-year head start?” Even if it is true that “craft knowledge has roughly 3 million-year head start,” it is irrelevant to whether Weak Scientism is true or false. This is because Weak Scientism is a thesis about academic knowledge or research produced by academic fields of study (Mizrahi 2017a, 356; Mizrahi 2017b, 11; Mizrahi 2018a, 12).

Solving the Problem and Explaining the Issue

As far as explanatory success is concerned, Wills (2018, 23) writes, “Is science more successful at explanation? Hardly, if science could solve problems in literature or history then these fields would not even exist.” There are a couple of problems with this objection. First, explaining and problem solving are not the same thing (Mizrahi and Buckwalter 2014). Second, what makes scientific explanations good explanations are the good-making properties that are supposed to make all explanations (both scientific and non-scientific) good explanations, namely, unification, coherence, simplicity, and testability (Mizrahi 2017a, 360-362; Mizrahi 2017b, 19-20; Mizrahi 2018a, 17).

I have already made this point several times in my replies to Brown, which Wills does not cite, namely, that Inference to the Best Explanation (IBE) is used in both scientific and non-scientific contexts (Mizrahi 2017a, 362). That is, “IBE is everywhere” (Mizrahi 2017b, 20). It’s just that scientific IBEs are better than non-scientific IBEs because they exhibit more of (and to a greater extent) the aforementioned properties that make any explanation a good explanation (Mizrahi 2018b).

As far as predictive success is concerned, Wills (2018, 23) asks, “Does science make more true predictions? Again how would you even count given that for millions of years, human beings survived by making hundreds of true predictions daily?” There are a few problems with this objection as well. First, even if it is true that “for millions of years, human beings survived by making hundreds of true predictions daily,” it is irrelevant to whether Weak Scientism is true or false, since Weak Scientism is a thesis about academic knowledge or research produced by academic fields of study (Mizrahi 2017a, 356; Mizrahi 2017b, 11; Mizrahi 2018a, 12).

Second, contrary to what Wills (2018, 24) seems to think, testing predictions in science is not simply a matter of making assertions and then checking to see if they are true. For one thing, a prediction is not simply an assertion, but rather a consequence that follows from a hypothesis plus auxiliary hypotheses (Mizrahi 2015). For another, a prediction needs to be novel such that we would not expect it to be the case except from the vantage point of the theory that we are testing (Mizrahi 2012).

As I have advised Brown (Mizrahi 2018, 17), I would also advise Wills to consult logic and reasoning textbooks, not because they provide support for the claim that “science is instrumentally successful, explanatory and makes true predictions,” as Wills (2018, 23) erroneously thinks, but because they discuss hypothesis testing in science. For Wills’ (2018, 24) remark about Joyce scholars suggests a failure to understand how hypotheses are tested in science.

Third, like Brown (2017, 49), Wills (2018, 23) admits that, just like science, philosophy is in the explanation business. For Wills (2018, 23) says that, “certainty, instrumental success, utilitarian value, predictive power and explanation all exist elsewhere in ways that are often not directly commensurable with the way they exist in science” (emphasis added). But if distinct fields of study have the same aim (i.e., to explain), then their products (i.e., explanations) can be evaluated with respect to similar criteria, such as unification, coherence, simplicity, and testability (Mizrahi 2017a, 360-362; Mizrahi 2017b, 19-20; Mizrahi 2018a, 17).

In other words, there is no incommensurability here, as Wills seems to think, insofar as both science and philosophy produce explanations and those explanations must exhibit the same good-making properties that make all explanations good explanations (Mizrahi 2018a, 17; 2018b).

“You Passed the Test!”

If Wills (2018, 24) wants to suggest that philosophers should be “testing their assertions in the ways peculiar to their disciplines,” then I would agree. However, “testing” does not simply mean making assertions and then checking to see if they are true, as Wills seems to think. After all, how would one check to see if assertions about theoretical entities are true? To test a hypothesis properly, one must derive a consequence from it (plus auxiliary assumptions) that would be observed only if the hypothesis (plus the auxiliary assumptions) is true.

Observations and/or experimentation would then indicate to one whether the consequence obtains or not (Mizrahi 2012). Of course, some philosophers have been doing just that for some time now (Knobe 2017). For instance, some experimental philosophers test hypotheses about the alleged intuitiveness of philosophical ideas and responses to thought experiments (see, e.g., Kissinger-Knox et al. 2018). I welcome such empirical work in philosophy.

Contrary to what Wills (2018, 19) seems to think, then, my aim is not to antagonize philosophers. Rather, my aim is to reform philosophy. In particular, as I have suggested in my recent reply to Brown (Mizrahi 2018a, 22), I think that philosophy would benefit from adopting not only the experimental methods of the cognitive and social sciences, as experimental philosophers have done, but also the methods of data science, such as data mining and corpus analysis (see, e.g., Ashton and Mizrahi 2018a and 2018b).

Indeed, the XPhi Replicability Project recently published a report on replication studies of 40 experimental studies according to which experimental studies “successfully replicated about 70% of the time” (Cova et al. 2018). With such a success rate, one could argue that the empirical revolution in philosophy is well under way (see also Knobe 2015). Resistance is futile!

Contact details: mmizrahi@fit.edu

References

Ashton, Z., and Mizrahi, M. “Intuition Talk is Not Methodologically Cheap: Empirically Testing the ‘Received Wisdom’ About Armchair Philosophy.” Erkenntnis 83, no. 3 (2018a): 595-612.

Ashton, Z., and Mizrahi, M. “Show Me the Argument: Empirically Testing the Armchair Philosophy Picture.” Metaphilosophy 49, no. 1-2 (2018b): 58-70.

Brown, C. M. “Some Objections to Moti Mizrahi’s ‘What’s So Bad About Scientism?’.” Social Epistemology Review and Reply Collective 6, no. 8 (2017): 42-54.

Brown, C. M. “Defending Some Objections to Moti Mizrahi’s Arguments for Weak Scientism.” Social Epistemology Review and Reply Collective 7, no. 2 (2018): 1-35.

Cova, Florian, Brent Strickland, Angela G Abatista, Aurélien Allard, James Andow, Mario Attie, James Beebe, et al. “Estimating the Reproducibility of Experimental Philosophy.” PsyArXiv, April 21, 2018. doi:10.17605/OSF.IO/SXDAH.

Erlenbusch, V. “Being a Foreigner in Philosophy: A Taxonomy.” Hypatia 33, no. 2 (2018): 307-324.

Files, J. A., Mayer, A. P., Ko, M. G., Friedrich, P., Jenkins, M., Bryan, M. J., Vegunta, S., Wittich, C. M., Lyle, M. A., Melikian, R., Duston, T., Chang, Y. H., Hayes, S. M. “Speaker Introductions at Internal Medicine Grand Rounds: Forms of Address Reveal Gender Bias.” Journal of Women’s Health 26, no. 5 (2017): 413-419.

Google. “Ngram Viewer.” Google Books Ngram Viewer. Accessed on May 21, 2018. https://books.google.com/ngrams.

JSTOR. “Create a Dataset.” JSTOR Data for Research. Accessed on May 22, 2018. https://www.jstor.org/dfr/.

Kissinger-Knox, A., Aragon, P., and Mizrahi, M. “Does Non-Moral Ignorance Exculpate? Situational Awareness and Attributions of Blame and Forgiveness.” Acta Analytica 33, no. 2 (2018): 161-179.

Knobe, J. “Experimental Philosophy.” Philosophy Compass 2, no. 1 (2007): 81-92.

Knobe, J. “Philosophers are Doing Something Different Now: Quantitative Data.” Cognition 135 (2015): 36-38.

Mizrahi, M. “Take My Advice–I Am Not Following It: Ad Hominem Arguments as Legitimate Rebuttals to Appeals to Authority.” Informal Logic 30, no. 4 (2010): 435-456.

Mizrahi, M. “Why the Ultimate Argument for Scientific Realism Ultimately Fails.” Studies in History and Philosophy of Science Part A 43, no. 1 (2012): 132-138.

Mizrahi, M. “Don’t Believe the Hype: Why Should Philosophical Theories Yield to Intuitions?” Teorema: International Journal of Philosophy 34, no. 3 (2015): 141-158.

Mizrahi, M. “What’s So Bad about Scientism?” Social Epistemology 31, no. 4 (2017a): 351-367.

Mizrahi, M. “In Defense of Weak Scientism: A Reply to Brown.” Social Epistemology Review and Reply Collective 6, no. 11 (2017b): 9-22.

Mizrahi, M. “More in Defense of Weak Scientism: Another Reply to Brown.” Social Epistemology Review and Reply Collective 7, no. 4 (2018a): 7-25.

Mizrahi, M. “The ‘Positive Argument’ for Constructive Empiricism and Inference to the Best Explanation.” Journal for General Philosophy of Science (2018b): https://doi.org/10.1007/s10838-018-9414-3.

Mizrahi, M. and Buckwalter, W. “The Role of Justification in the Ordinary Concept of Scientific Progress.” Journal for General Philosophy of Science 45, no. 1 (2014): 151-166.

Scimago Journal & Country Rank. “Subject Bubble Chart.” SJR: Scimago Journal & Country Rank. Accessed on May 20, 2018. http://www.scimagojr.com/mapgen.php?maptype=bc&country=US&y=citd.

Wills, B. “Why Mizrahi Needs to Replace Weak Scientism With an Even Weaker Scientism.” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 18-24.

Author Information: Seungbae Park, Ulsan National Institute of Science and Technology, nature@unist.ac.kr

Park, Seungbae. “Philosophers and Scientists are Social Epistemic Agents.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 31-40.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Yo

Please refer to:

The example is from the regime of Hosni Mubarak, but these were the best photos the Digital Editor could find in Creative Commons when he was uploading the piece.

The style of examples common to epistemology, whether social or not, are often innocuous, ordinary situation. But the most critical uses and misuses of knowledge and belief remain all-too-ordinary situations already. If scepticism about our powers to know and believe hold – or are at least held sufficiently – then the most desperate political prisoner has lost her last glimmer of hope. Truth.
Image by Hossam el-Hamalawy via Flickr / Creative Commons

 

In this paper, I reply to Markus Arnold’s comment and Amanda Bryant’s comment on my work “Can Kuhn’s Taxonomic Incommensurability be an Image of Science?” in Moti Mizrahi’s edited collection, The Kuhnian Image of Science: Time for a Decisive Transformation?.

Arnold argues that there is a gap between the editor’s expressed goal and the actual content of the book. Mizrahi states in the introduction that his book aims to increase “our understanding of science as a social, epistemic endeavor” (2018: 7). Arnold objects that it is “not obvious how the strong emphasis on discounting Kuhn’s incommensurability thesis in the first part of the book should lead to a better understanding of science as a social practice” (2018: 46). The first part of the volume includes my work. Admittedly, my work does not explicitly and directly state how it increases our understanding of science as a social enterprise.

Knowledge and Agreement

According to Arnold, an important meaning of incommensurability is “the decision after a long and futile debate to end any further communication as a waste of time since no agreement can be reached,” and it is this “meaning, describing a social phenomenon, which is very common in science” (Arnold, 2018: 46). Arnold has in mind Kuhn’s claim that a scientific revolution is completed not when opposing parties reach an agreement through rational argumentations but when the advocates of the old paradigm die of old age, which means that they do not give up on their paradigm until they die.

I previously argued that given that most recent past paradigms coincide with present paradigms, most present paradigms will also coincide with future paradigms, and hence “taxonomic incommensurability will rarely arise in the future, as it has rarely arisen in the recent past” (Park, 2018: 70). My argument entails that scientists’ decision to end further communications with their opponents has been and will be rare, i.e., such a social phenomenon has been and will be rare.

On my account, the opposite social phenomenon has been and will rather be very common, viz., scientists keep communicating with each other to reach an agreement. Thus, my previous contention about the frequency of scientific revolutions increases our understanding of science as a social enterprise.

Let me now turn to Bryant’s comment on my criticism against Thomas Kuhn’s philosophy of science. Kuhn (1962/1970, 172–173) draws an analogy between the development of science and the evolution of organisms. According to evolutionary theory, organisms do not evolve towards a goal. Similarly, Kuhn argues, science does not develop towards truths. The kinetic theory of heat, for example, is no closer to the truth than the caloric theory of heat is, just as we are no closer to some evolutionary goal than our ancestors were. He claims that this analogy is “very nearly perfect” (1962/1970, 172).

My objection (2018a: 64–66) was that it is self-defeating for Kuhn to use evolutionary theory to justify his philosophical claim about the development of science that present paradigms will be replaced by incommensurable future paradigms. His philosophical view entails that evolutionary theory will be superseded by an incommensurable alternative, and hence evolutionary theory is not trustworthy. Since his philosophical view relies on this untrustworthy theory, it is also untrustworthy, i.e., we ought to reject his philosophical view that present paradigms will be displaced by incommensurable future paradigms.

Bryant replies that “Kuhn could adopt the language of a paradigm (for the purposes of drawing an analogy, no less!) without committing to the literal truth of that paradigm” (2018: 3). On her account, Kuhn could have used the language of evolutionary theory without believing that evolutionary theory is true.

Can We Speak a Truth Without Having to Believe It True?

Bryant’s defense of Kuhn’s position is brilliant. Kuhn would have responded exactly as she has, if he had been exposed to my criticism above. In fact, it is a common view among many philosophers of science that we can adopt the language of a scientific theory without committing to the truth of it.

Bas van Fraassen, for example, states that “acceptance of a theory involves as belief only that it is empirically adequate” (1980: 12). He also states that if “the acceptance is at all strong, it is exhibited in the person’s assumption of the role of explainer” (1980: 12). These sentences indicate that according to van Fraassen, we can invoke a scientific theory for the purpose of explaining phenomena without committing to the truth of it. Rasmus Winther (2009: 376), Gregory Dawes (2013: 68), and Finnur Dellsén (2016: 11) agree with van Fraassen on this account.

I have been pondering this issue for the past several years. The more I reflect upon it, however, the more I am convinced that it is problematic to use the language of a scientific theory without committing to the truth of it. This thesis would be provocative and objectionable to many philosophers, especially to scientific antirealists. So I invite them to consider the following two thought experiments.

First, imagine that an atheist uses the language of Christianity without committing to the truth of it (Park, 2015: 227, 2017a: 60). He is a televangelist, saying on TV, “If you worship God, you’ll go to heaven.” He converts millions of TV viewers into Christianity. As a result, his church flourishes, and he makes millions of dollars a year. To his surprise, however, his followers discover that he is an atheist.

They request him to explain how he could speak as if he were a Christian when he is an atheist. He replies that he can use the language of Christianity without believing that it conveys truths, just as scientific antirealists can use the language of a scientific theory without believing that it conveys the truth.

Second, imagine that scientific realists, who believe that our best scientific theories are true, adopts Kuhn’s philosophical language without committing to Kuhn’s view of science. They say, as Kuhn does, “Successive paradigms are incommensurable, so present and future scientists would not be able to communicate with each other.” Kuhn requests them to explain how they could speak as if they were Kuhnians when they are not Kuhnians. They reply that they can adopt his philosophical language without committing to his view of science, just as scientific antirealists can adopt the language of a scientific theory without committing to the truth of it.

The foregoing two thought experiments are intended to be reductio ad absurdum. That is, my reasoning is that if it is reasonable for scientific antirealists to speak the language of a scientific theory without committing to the truth of it, it should also be reasonable for the atheist to speak the language of Christianity and for scientific realists to speak Kuhn’s philosophical language. It is, however, unreasonable for them to do so.

Let me now diagnose the problems with the atheist’s speech acts and scientific realists’ speech acts. The atheist’s speech acts go contrary to his belief that God does not exist, and scientific realists’ speech acts go contrary to their belief that our best scientific theories are true. As a result, the atheist’s speech acts mislead his followers into believing that he is Christian. The scientific realists’ speech acts mislead their hearers into believing that they are Kuhnians.

Moore’s Paradox

Such speech acts raise an interesting philosophical issue. Imagine that someone says, “Snow is white, but I don’t believe snow is white.” The assertion of such a sentence involves Moore’s paradox. Moore’s paradox arises when we say a sentence of the form, “P, but I don’t believe p” (Moore, 1993: 207–212). We can push the atheist above to be caught in Moore’s paradox. Imagine that he says, “If you worship God, you’ll go to heaven.” We request him to declare whether he believes or not what he just said. He declares, “I don’t believe if you worship God, you’ll go to heaven.” As a result, he is caught in Moore’s paradox, and he only puzzles his audience.

The same is true of the scientific realists above. Imagine that they say, “Successive paradigms are incommensurable, so present and future scientists would not be able to communicate with each other.” We request them to declare whether they believe or not what they just said. They declare, “I don’t believe successive paradigms are incommensurable, so present and future scientists would not be able to communicate with each other.” As a result, they are caught in Moore’s paradox, and they only puzzle their audience.

Kuhn would also be caught in Moore’s paradox if he draws the analogy between the development of science and the evolution of organisms without committing to the truth of evolutionary theory, pace Bryant. Imagine that Kuhn says, “Organisms don’t evolve towards a goal. Similarly, science doesn’t develop towards truths. I, however, don’t believe organisms don’t evolve towards a goal.” He says, “Organisms don’t evolve towards a goal. Similarly, science doesn’t develop towards truths” in order to draw the analogy between the development of science and the evolution of organisms. He says, “I, however, don’t believe organisms don’t evolve towards a goal,” in order to express his refusal to believe that evolutionary theory is true. It is, however, a Moorean sentence: “Organisms don’t evolve towards a goal. I, however, don’t believe organisms don’t evolve towards a goal.” The assertion of such a sentence gives rise to Moore’s paradox.

Scientific antirealists would also be caught in Moore’s paradox, if they explain phenomena in terms of a scientific theory without committing to the truth of it, pace van Fraassen. Imagine that scientific antirealists say, “The space between two galaxies expands because dark energy exists between them, but I don’t believe that dark energy exists between two galaxies.” They say, “The space between two galaxies expands because dark energy exists between them,” in order to explain why the space between galaxies expands.

They add, “I don’t believe that dark energy exists between two galaxies,” in order to express their refusal to commit to the truth of the theoretical claim that dark energy exists. It is, however, a Moorean sentence: “The space between two galaxies expands because dark energy exists between them, but I don’t believe that dark energy exists between two galaxies.” Asserting such a sentence will only puzzle their audience. Consequently, Moore’s paradox bars scientific antirealists from invoking scientific theories to explain phenomena (Park, 2017b: 383, 2018b: Section 4).

Researchers on Moore’s paradox believe that “contradiction is at the heart of the absurdity of saying a Moorean sentence, but it is not obvious wherein contradiction lies” (Park, 2014: 345). Park (2014: 345) argues that when you say, “Snow is white,” your audience believe that you believe that snow is white. Their belief that you believe that snow is white contradicts the second conjunct of your Moorean sentence that you do not believe that snow is white.

Thus, the contradiction lies in your audience’s belief and the second conjunct of your Moorean sentence. The present paper does not aim to flesh out and defend this view of wherein lies the contradiction. It rather aims to show that Moore’s paradox prevents us from using the language of a scientific theory without committing to the truth of it, pace Bryant and van Fraassen.

The Real Consequences of Speaking What You Don’t Believe

Set Moore’s paradox aside. Let me raise another objection to Bryant and van Fraassen. Imagine that Kuhn encounters a philosopher of mind. The philosopher of mind asserts, “A mental state is reducible to a brain state.” Kuhn realizes that the philosopher of mind espouses the identity theory of mind, but he knows that the identity theory of mind has already been refuted by the multiple realizability argument. So he brings up the multiple realizability argument to the philosopher of mind. The philosopher of mind is persuaded of the multiple realizability argument and admits that the identity theory is not tenable.

To Kuhn’s surprise, however, the philosopher of mind claims that when he said, “A mental state is reducible to a brain state,” he spoke the language of the identity theory without committing to the truth of it, so his position is not refuted by Kuhn. Note that the philosopher of mind escapes the refutation of his position by saying that he did not believe what he stated. It is also reasonable for the philosopher of mind to escape the refutation of his position by saying that he did not believe what he stated, if it is reasonable for Kuhn to escape the refutation of his position by saying that he did not believe what he stated. Kuhn would think that it is not reasonable for the philosopher of mind to do so.

Kuhn, however, might bite the bullet, saying that it is reasonable for the philosopher of mind to do so. The strategy to avoid the refutation, Kuhn might continue, only reveals that the identity theory was not his position after all. Evaluating arguments does not require that we identify the beliefs of the authors of arguments. In philosophy, we only need to care about whether arguments are valid or invalid, sound or unsound, strong or weak, and so on.

Speculating about what beliefs the authors of arguments hold as a way of evaluating arguments is to implicitly rely on an argument from authority, i.e., it is to think as though the authors’ beliefs determine the strength of arguments rather than the form and content of arguments do.

We, however, need to consider under what conditions we accept the conclusion of an argument in general. We accept it, when premises are plausible and when the conclusion follows from the premises. We can tell whether the conclusion follows from the premises or not without the author’s belief that it does. In many cases, however, we cannot tell whether premises are plausible or not without the author’s belief that they are.

Imagine, for example, that a witness states in court that a defendant is guilty because the defendant was in the crime scene. The judge can tell whether the conclusion follows from the premise or not without the witness’s belief that it does. The judge, however, cannot tell whether the premise is plausible or not without the witness’s belief that it is. Imagine that the witness says that the defendant is guilty because the defendant was in the crime scene, but that the witness declares that he does not believe that the defendant was in the crime scene. Since the witness does not believe that the premise is true, the judge has no reason to believe that it is true. It is unreasonable for the judge to evaluate the witness’s argument independently of whether the witness believes or not that the premise is true.

In a nutshell, an argument loses its persuasive force, if the author of the argument does not believe that premises are true. Thus, if you aim to convince your audience that your argument is cogent, you should believe yourself that the premises are true. If you declare that you do not believe that the premises are true, your audience will ask you some disconcerting questions: “If you don’t, why should I believe what you don’t? How can you say to me what you don’t believe? Do you expect me to believe what you don’t?” (Park, 2018b: Section 4).

In case you still think that it is harmless and legitimate to speak what you do not believe, I invite you to imagine that your political rival commits murder to frame you. A false charge is brought to you, and you are tried in court. The prosecutor has a strong indictment against you. You state vehemently that you did not commit murder. You, however, have no physical evidence supporting your statement. Furthermore, you are well-known as a person who speaks vehemently what you do not believe. Not surprisingly, the judge issues a death sentence on you, thinking that you are merely speaking the language of the innocent. The point of this sad story is that speaking what you do not believe may result in a tragedy in certain cases.

A Solution With a Prestigious Inspiration

Let me now turn to a slightly different, but related, issue. Under what condition can I refute your belief when you speak contrary to what you believe? I can do it only when I have direct access to your doxastic states, i.e., only when I can identify your beliefs without the mediation of your language. It is not enough for me to interpret your language correctly and present powerful evidence against what your language conveys.

After all, whenever I present such evidence to you, you will escape the refutation of what you stated simply by saying that you did not believe what you stated. Thus, Bryant’s defense of Kuhn’s position from my criticism above amounts to imposing an excessively high epistemic standard on Kuhn’s opponents. After all, his opponents do not have direct access to his doxastic states.

In this context, it is useful to be reminded of the epistemic imperative: “Act only on an epistemic maxim through which you can at the same time will that it should become a universal one” (Park, 2018c: 3). Consider the maxim “Escape the refutation of your position by saying you didn’t believe what you stated.” If you cannot will this maxim to become a universal one, you ought not to act on it yourself. It is immoral for you to act on the maxim despite the fact that you cannot will it to become a universal maxim. Thus, the epistemic imperative can be invoked to argue that Kuhn ought not to use the language of evolutionary theory without committing to the truth of it, pace Bryant.

Let me now raise a slightly different, although related, issue. Recall that according to Bryant, Kuhn could adopt the language of evolutionary theory without committing to the truth of it. Admittedly, there is an epistemic advantage of not committing to the truth of evolutionary theory on Kuhn’s part. The advantage is that he might avoid the risk of forming a false belief regarding evolutionary theory. Yet, he can stick to his philosophical account of science according to which science does not develop towards truths, and current scientific theories will be supplanted by incommensurable alternatives.

There is, however, an epistemic disadvantage of not committing to the truth of a scientific theory. Imagine that Kuhn is not only a philosopher and historian of science but also a scientist. He has worked hard for several decades to solve a scientific problem that has been plaguing an old scientific theory. Finally, he hits upon a great scientific theory that handles the recalcitrant problem. His scientific colleagues reject the old scientific theory and accept his new scientific theory, i.e., a scientific revolution occurs.

He becomes famous not only among scientists but also among the general public. He is so excited about his new scientific theory that he believes that it is true. Some philosophers, however, come along and dispirit him by saying that they do not believe that his new theory is true, and that they do not even believe that it is closer to the truth than its predecessor was. Kuhn protests that his new theory has theoretical virtues, such as accuracy, simplicity, and fruitfulness. Not impressed by these virtues, however, the philosophers reply that science does not develop towards truths, and that his theory will be displaced by an incommensurable alternative. They were exposed to Kuhn’s philosophical account of science!

Epistemic Reciprocation

They have adopted a philosophical position called epistemic reciprocalism according to which “we ought to treat our epistemic colleagues, as they treat their epistemic agents” (Park, 2017a: 57). Epistemic reciprocalists are scientific antirealists’ true adversaries. Scientific antirealists refuse to believe that their epistemic colleagues’ scientific theories are true for fear that they might form false beliefs.

In return, epistemic reciprocalists refuse to believe that scientific antirealists’ positive theories are true for fear that they might form false beliefs. We, as epistemic agents, are not only interested in avoiding false beliefs but also in propagating “to others our own theories which we are confident about” (Park, 2017a: 58). Scientific antirealists achieve the first epistemic goal at the cost of the second epistemic goal.

Epistemic reciprocalism is built upon the foundation of social epistemology, which claims that we are not asocial epistemic agents but social epistemic agents. Social epistemic agents are those who interact with each other over the matters of what to believe and what not to believe. So they take into account how their interlocutors treat their epistemic colleagues before taking epistemic attitudes towards their interlocutors’ positive theories.

Let me now turn to another of Bryant’s defenses of Kuhn’s position. She says that it is not clear that the analogy between the evolution of organisms and the development of science is integral to Kuhn’s account. Kuhn could “have ascribed the same characteristics to theory change without referring to evolutionary theory at all” (Bryant, 2018: 3). In other words, Kuhn’s contention that science does not develop towards truths rises or falls independently of the analogy between the development of science and the evolution of organisms. Again, this defense of Kuhn’s position is brilliant.

Consider, however, that the development of science is analogous to the evolution of organisms, regardless of whether Kuhn makes use of the analogy to defend his philosophical account of science or not, and that the fact that they are analogous is a strike against Kuhn’s philosophical account of science. Suppose that Kuhn believes that science does not develop towards truths, but that he does not believe that organisms do not evolve towards a goal, despite the fact that the development of science is analogous to the evolution of organisms.

An immediate objection to his position is that it is not clear on what grounds he embraces the philosophical claim about science, but not the scientific claim about organisms, when the two claims parallel each other. It is ad hoc merely to suggest that the scientific claim is untrustworthy, but that the philosophical claim is trustworthy. What is so untrustworthy about the scientific claim, but so trustworthy about the philosophical claim? It would be difficult to answer these questions because the development of science and the evolution of organisms are similar to each other.

A moral is that if philosophers reject our best scientific theories, they cannot make philosophical claims that are similar to what our best scientific theories assert. In general, the more philosophers reject scientific claims, the more impoverished their philosophical positions will be, and the heavier their burdens will be to prove that their philosophical claims are dissimilar to the scientific claims that they reject.

Moreover, it is not clear what Kuhn could say to scientists who take the opposite position in response to him. They believe that organisms do not evolve towards a goal, but refuse to believe that science does not develop towards truths. To go further, they trust scientific claims, but distrust philosophical claims. They protest that it is a manifestation of philosophical arrogance to suppose that philosophical claims are worthy of beliefs, but scientific claims are not.

This possible response to Kuhn reminds us of the Golden Rule: Treat others as you want to be treated. Philosophers ought to treat scientists as they want to be treated, concerning epistemic matters. Suppose that a scientific claim is similar to a philosophical claim. If philosophers do not want scientists to hold a double standard with respect to the scientific and philosophical claims, philosophers should not hold a double standard with respect to them.

There “is no reason for thinking that the Golden Rule ranges over moral matters, but not over epistemic matters” (Park, 2018d: 77–78). Again, we are not asocial epistemic agents but social epistemic agents. As such, we ought to behave in accordance with the epistemic norms governing the behavior of social epistemic agents.

Finally, the present paper is intended to be critical of Kuhn’s philosophy of science while enshrining his insight that science is a social enterprise, and that scientists are social epistemic agents. I appealed to Moore’s paradox, epistemic reciprocalism, the epistemic imperative, and the Golden Rule in order to undermine Bryant’s defenses of Kuhn’s position from my criticism. All these theoretical resources can be used to increase our understanding of science as a social endeavor. Let me add to Kuhn’s insight that philosophers are also social epistemic agents.

Contact details: nature@unist.ac.kr

References

Arnold, Markus. “Is There Anything Wrong with Thomas Kuhn?”, Social Epistemology Review and Reply Collective 7, no. 5 (2018): 42–47.

Byrant, Amanda. “Each Kuhn Mutually Incommensurable”, Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1–7.

Dawes, Gregory. “Belief is Not the Issue: A Defence of Inference to the Best Explanation”, Ratio: An International Journal of Analytic Philosophy 26, no. 1 (2013): 62–78.

Dellsén, Finnur. “Understanding without Justification or Belief”, Ratio: An International Journal of Analytic Philosophy (2016). DOI: 10.1111/rati.12134.

Kuhn, Thomas. The Structure of Scientific Revolutions. 2nd ed. The University of Chicago Press, (1962/1970).

Mizrahi, Moti. “Introduction”, In The Kuhnian Image of Science: Time for a Decisive Transformation? Moti Mizrahi (ed.), London: Rowman & Littlefield, (2018): 1–22.

Moore, George. “Moore’s Paradox”, In G.E. Moore: Selected Writings. Baldwin, Thomas (ed.), London: Routledge, (1993).

Park, Seungbae. “On the Relationship between Speech Acts and Psychological States”, Pragmatics and Cognition 22, no. 3 (2014): 340–351.

Park, Seungbae. “Accepting Our Best Scientific Theories”, Filosofija. Sociologija 26, no. 3 (2015): 218–227.

Park, Seungbae. “Defense of Epistemic Reciprocalism”, Filosofija. Sociologija 28, no. 1 (2017a): 56–64.

Park, Seungbae. “Understanding without Justification and Belief?” Principia: An International Journal of Epistemology 21, no. 3 (2017b): 379–389.

Park, Seungbae. “Can Kuhn’s Taxonomic Incommensurability Be an Image of Science?” In The Kuhnian Image of Science: Time for a Decisive Transformation? Moti Mizrahi (ed.), London: Rowman & Littlefield, (2018a): 61–74.

Park, Seungbae. “Should Scientists Embrace Scientific Realism or Antirealism?”, Philosophical Forum (2018b): (to be assigned).

Park, Seungbae. “In Defense of the Epistemic Imperative”, Axiomathes (2018c). DOI: https://doi.org/10.1007/s10516-018-9371-9.

Park, Seungbae. “The Pessimistic Induction and the Golden Rule”, Problemos 93 (2018d): 70–80.

van Fraassen, Bas. The Scientific Image. Oxford: Oxford University Press, (1980).

Winther, Rasmus. “A Dialogue”, Metascience 18 (2009): 370–379.

Author Information: Amanda Bryant, Trent University, amandabryant@trentu.ca

Bryant, Amanda. “Each Kuhn Mutually Incommensurable.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3XM

Image by Denis Defreyne via Flickr / Creative Commons

 

This volume is divided into four parts, in which its contributors variously Question, Defend, Revise, or Abandon the Kuhnian image of science. One immediately wonders: what is this thing, the Kuhnian Image of Science? It isn’t a question that can be decisively or quickly settled, of course. Perhaps one of the reasons why so much has been written on Kuhn’s philosophy of science is that it gives rise to such rich interpretive challenges.

Informed general philosophy of science readers will of course know the tagline version of Kuhn’s view — namely, that the development of science unfolds in wholesale revolutions of scientific paradigms that are in some sense incommensurable with one another. However, one might think that whatever the image of science at issue in this volume is, it should be a sharper image than that.

Many Thomases Kuhn

But of course there isn’t really a single, substantive, cohesive, uncontroversial image at issue. Alexandra Argamakova rightly points out in her contribution, “there exist various images of science belonging to different Thomas Kuhns at different stages of his work life and from different perspectives of interpretation, so the target for current analysis turns out to be less detectable” (46). Rather, the contributors touch on various aspects of Kuhn’s philosophy, variously interpreted — and as such, multiple Kuhnian images emerge as the volume unfolds. That’s just as it should be. In fact, if the volume had propped up some caricature of Kuhn’s views as the Kuhnian image of science, it would have done a disservice both to Kuhn and to his many interpreters.

One wonders, too, whether the so-called Kuhnian image of science is really so broadly endorsed as to be the potential subject of (echoing Kuhn’s own phrase) a ‘decisive transformation’. In his introduction, Moti Mizrahi emphasizes Kuhn’s undeniable influence. Kuhn has, Mizrahi points out, literally tens of thousands of citations; numerous books, articles, and journal issues devoted to his work; and a lasting legacy in the language of academic and public discourse. While all of this signals influence, it’s clearly no indication of agreement.

To be fair, Mizrahi acknowledges the “fair share” of Kuhn critics (2). Nevertheless, if the prospect of decisively transforming the Kuhnian image of science were to be a serious prospect, then the image would have to be widely accepted and enjoy a lasting relevance. However, Argamakova again rightly emphasizes that Kuhn’s philosophy of science “never fully captured the intellectual market” (45) and “could not be less attractive for so many minds!” (47). Moreover, in a remarkable passage in his contribution, Howard Sankey describes a central component of the so-called Kuhnian image of science as as an old battlefield and a dead issue:

Returning to the topic from the perspective of the contemporary scene in the philosophy of science is like visiting a battlefield from a forgotten war. The positions of the warring sides may still be made out. But the battlefield is grown over with grass. One may find evidence of the fighting that once took place, perhaps bullet marks or shell holes. But the fighting ceased long ago. The battle is a thing of the past.

The problem of incommensurability is no longer a live issue. The present chapter has taken the form of a post-mortem examination of a once hotly debated but now largely forgotten problem from an earlier period in the philosophy of science. (87)

If the same holds true for the rest of the Kuhnian image (or images), then the volume isn’t exactly timely.

But dead philosophical issues don’t always stay dead. Or rather, we’re not always right to pronounce them dead. In 1984, Arthur Fine famously proclaimed scientific realism “well and truly dead” (in The Natural Ontological Attitude), and clearly he was quite wrong. At any rate, we may find interest in an issue, dead or not, and there is certainly much of it to be found in this volume. I have been asked to focus my comments on the second half of the book. As such, I will discuss the Introduction, as well as Parts I and II in brief, then I will discuss parts III and IV at greater length.

On the Incommensurable

In his Introduction, Mizrahi argues that, far from initiating a historical turn in the philosophy of science, Kuhn was ‘patient zero’ for anecdotiasis — “the tendency to use cherry-picked anecdotes or case studies… to support general claims (about the nature of science as a whole)” (3). Mizrahi argues that anecdotiasis is pervasive, since significant proportions of articles in the PhilSci-Archive and in leading philosophy of science journals contain the phrase ‘case study’.

But neither using the phrase ‘case study’ nor doing case studies is inherently or self-evidently problematic. Case studies can be interesting, informative, and evidential. Of course the challenges are not to ignore relevant problem cases, not to generalize hastily, and not to assign undue evidential weight to them. But if we are to suppose that all or most philosophers of science who use case studies fail to meet those challenges, we will need a substantial body of evidence.

Part I begins with Mizrahi’s contribution, which the successive contributions all engage. In it, he defines taxonomic incommensurability as conceptual incompatibility between new and old theories. Against those who claim that Kuhn ‘discovered’ incommensurability, Mizrahi argues that there are no good deductive or inductive arguments for taxonomic incommensurability. He cites just two authors, Eric Oberheim and Paul Hoyningen-Huene, who use the language of discovery to characterize incommensurability. As such, it isn’t clear that the assumption Mizrahi takes pains to reject is particularly widespread.

Nevertheless, even if everyone universally agreed that there are no legitimate cases of incommensurability, it would still be useful to know why they’d be justified in so thinking. So the work that Mizrahi does to establish his conclusion is valuable. He shows the dubious sorts of assumptions that arguments for the taxonomic incommensurability thesis would hang on.

Argamakova’s helpful and clear contribution lays out three general types of critique with respect to Kuhn’s view of scientific development — ambiguity, inaccuracy, and limitation — and raises, if tentatively, concerns about Kuhn’s universalist ambitions. She might have been more explicit with respect to the force and scope of her comments on universalism — in particular, whether she sees the flaws in Kuhn’s theory as ultimately stemming from his attempts at universal generalizations, and to what extent her concerns extend beyond Kuhn to general philosophy of science.

Seungbae Park advances several arguments in response to Kuhn’s incommensurability thesis. One such argument takes up Kuhn’s analogy in The Structure of Scientific Revolutions (henceforth Structure) between the development of science and the evolution of organisms. Park suggests that in drawing the analogy, Kuhn illicitly assumes the truth of evolutionary theory. He doesn’t consider that Kuhn could adopt the language of a paradigm (for the purposes of drawing an analogy, no less!) without committing to the literal truth of that paradigm.

Park also claims that “it is self-defeating for Kuhn to invoke a scientific theory to give an account of science that discredits scientific claims” (66), when it’s not clear that the analogy is at all integral to Kuhn’s account. Kuhn could, for instance, have ascribed the same characteristics to theory change without referring to evolutionary theory at all.

Sankey’s illuminating contribution fills in the interpretive background on incommensurability — the semantic version of Kuhn’s incommensurability thesis, in particular. He objects, with Mizrahi, to the language of discovery used by Oberheim and Hoyningen-Huene with respect to incommensurability. He argues, convincingly, that the purported paradigm shift that allowed Kuhn to finally comprehend Aristotle’s physics isn’t a case of incommensurability, but rather of comprehension after an initial failure to understand. While this doesn’t establish his conclusion that no cases of incommensurability have been established (76), it does show that a historically significant purported case is not genuine.

Vasso Kindi fills in some historical detail regarding the positivist image of science that Kuhn sought to replace and the “stereotypical” image attributed to him (96). She argues that Kuhn’s critics (including by implication several of her co-contributors) frequently attack a strawman — that, notwithstanding Kuhn’s avowed deference to history, the Kuhnian image of science is not meant to be a historical representation, and so doesn’t need to be supported by historical evidence. It is, rather, a “a philosophical model that was used to challenge an ideal image of science” (95).

Finally, Lydia Patton emphasizes the practical dimension of Kuhn’s conception of paradigms in Structure. It ought to be uncontroversial that on Kuhn’s early characterization a paradigm is not merely a theory, but a series of epistemic, evaluative, and methodological practices, too. But Patton argues that there has been too strong a semantic tendency in the treatment of Kuhnian paradigms (including by the later Kuhn himself). She argues for the greater interest and value of a practical lens on Kuhn’s project for the purposes of understanding and explaining science.

Vectors of Glory

Andrew Aberdein’s contribution deals with the longstanding and intriguing question of whether there are revolutions in mathematics. He imports to that discussion distinctions he drew in previous work among so-called glorious, inglorious, and paraglorious revolutions, in which, respectively, key components of the theory are preserved, lost, or preserved with new additions. Key components are, he says, “at least all components without which the theory could not be articulated” (136).

He discusses several examples of key shifts in mathematical theory and practice that putatively exemplify certain of these classes of revolution. The strength of the paper is its fascinating examples, particularly the example of Inter-Universal Teichmüller theory, which, Aberdein explains, introduces such novel techniques and concepts that some leading mathematicians say its proofs read as if they were “from the future, or from outer space” (145).

Aberdein doesn’t falsely advertise his thesis. He acknowledges that “it is not easy to determine whether a given episode is revolutionary” (140), and claims only that certain shifts “may be understood” as revolutionary (149) — that the cases he offers are putative mathematical revolutions. As to how we should go about identifying putative mathematical revolutions, Aberdein suggests we look directly for conceptual shifts (or ‘sorites-like’ sequences of shifts) in which key components have been lost or gained.

A fuller discussion of these diagnostics is needed, since the judgment of whether there are revolutions (genuine or putative) in mathematics will hang largely on diagnostics such as these. Is any key conceptual shift sufficient? If so, have we really captured the spirit of Kuhn’s view, given that Kuhn seems to ascribe a certain momentousness to revolutions? If the conceptual shift has to be substantial, how substantial, and how should we gauge its substantiality? Without some principled, non-arbitrary, and non-question-begging standards for what counts as a revolution, we cannot hope to give a serious answer to the question of whether there are, even putatively, revolutions in mathematics.

The paper would also have benefited from a more explicit discussion of what a mathematical paradigm is in the first place, especially as compared to a scientific one. We can infer from Aberdein’s examples that conceptions of number, ratio, proportion, as well as systems of conjecture and mathematical techniques belong to mathematical paradigms — but explicit comment on this would have been beneficial.

Moreover, Aberdein sees an affinity between mathematics and science, commenting toward the end of the paper that the methodology of mathematics is not so different from that of science, and that “the story we tell about revolutions [should] hold for both science and mathematics” (149). These are loaded comments needing further elaboration.

The Evolution of Thomas Kuhn

In his contribution, James Marcum argues that Kuhn’s later evolutionary view is more relevant to current philosophy of science (being ‘pluralistic and perspectival’) than his earlier revolutionary one. On Kuhn’s later evolutionary view, Marcum explains, scientific change proceeds via “smaller evolutionary specialization or speciation” (155), with a “gradual emergence of a specialty’s practice and knowledge” (159). On this view, scientific development consists in “small incremental changes of belief” rather than “the upheaval of world-shattering revolutions” (159).

Marcum uses the emergence of bacteriology, virology, and retrovirology to illustrate the strengths and weaknesses of Kuhn’s evolutionary view. Its main strength, he says, is that it illuminates the development of and relationships among these sorts of scientific specialties; its weakness is that it ascribes a single tempo — Darwinian gradualism — and a single mode — speciation — to the evolution of science. Marcum adopts George Gaylord Simpson’s “richer and more textured approach” (165), which distinguishes several tempos and modes. Since these refinements better enable Kuhn’s view to handle a range of cases, they are certainly valuable.

According to Marcum, current philosophy of science is ‘pluralistic and perspectival’ in its recognition that different sciences face different philosophical issues and in its inclusion of perspectives from outside the logico-analytic tradition, such as continental, pragmatist, and feminist perspectives (166). Marcum seems right to characterize current philosophy of science as pluralistic, given the move away from general philosophy of science to more specialized branches.

If this pluralism is to be embraced, one might wonder what role (if any) remains for general philosophy of science. Marcum makes the interesting suggestion that a general image of science, like Kuhn’s evolutionary image, while respecting our contemporary pluralistic stance, can at the same time offer “a type of unity among the sciences, not in terms of reducing them to one science, but rather with respect to mapping the conceptual relationships among them” (169).

One of Marcum’s central aims is to show that incommensurability plays a key explanatory role in a refined version of Kuhn’s evolutionary image of science. The role of incommensurability on this view is to account for scientific speciation. However, Marcum shows only that we can characterize scientific speciation in terms of incommensurability, without clearly establishing the explanatory payoff of so doing. He does not succeed in showing that incommensurability has a particularly enriching explanatory role, much less that incommensurability is “critical for conceptual evolution within the sciences” or “an essential component of… the growth of science” (168).

All a Metaphor?

Barbara Gabriella Renzi and Giulio Napolitano frame their contribution with a discussion of competing accounts of the nature and role of metaphor. They avow the commonly accepted view that metaphors are not merely linguistic, but cognitive, and that they are ubiquitous. They claim, I would think uncontroversially, that metaphors shape how individuals approach and reason about complex issues. They also discuss historical empiricist attitudes toward metaphor, competing views on the role of models and metaphor in science, and later, the potential role of metaphor in social domination.

Renzi and Napolitano also address Kuhn’s use of the metaphor of Darwinian evolution to characterize scientific change. They suggest that an apter metaphor for scientific change can be made of the obsolete orthogenetic hypothesis, according to which “variations are not random but directed by forces regulated and ultimately directed by the internal constitution of the organism, which responds to environmental stimuli” (184).

The orthogenetic metaphor is a better fit for scientific change, they argue, because the emergence of new ideas in science is not random, but driven by “arguments and debates… specific needs of a scientist or group of scientists who have been seeking a solution to a problem” (184).

The orthogenetic metaphor effectively highlights a drawback of the Darwinian metaphor that might otherwise be overlooked, and deserves further attention. The space devoted to discussing metaphor in the abstract contributes little to the paper, beyond prescriptions to take metaphor seriously and approach it with caution. Much of that space would have been better devoted to using historical examples to compare Kuhn’s Darwinian metaphor to the proposed orthogenetic alternative, to make concrete the fruitfulness of the latter, and to flesh out the specific kinds of internal and external pressures that Renzi and Napolitano see as important drivers of scientific change.

Methodological Contextualism

Darrell Rowbottom offers a summary and several criticisms of what he sees as Kuhn’s early-middle period image of science. By way of criticism, he points out that it isn’t clear how to individuate disciplinary matrices in a way that preserves a clear distinction between normal and extraordinary science, or ensures that what Kuhn calls ‘normal science’ is really the norm. Moreover, in linking the descriptive and normative components of his view, Kuhn implausibly assumes that mature science is optimal.

Rowbottom suggests a replacement image of science he calls methodological contextualism (developed more fully in previous work). Methodological contextualism identifies several roles — puzzle-solving, critical, and imaginative — which scientific practitioners fulfill to varying degrees and in varying combinations. The ideal balance of these roles depends on contextual factors, including the scientists available and the state of science (200).

The novel question Rowbottom considers in this paper is: how could piecemeal change in science be rational from the perspective of methodological contextualism? I have difficulty seeing why this is even a prima facie problem for Rowbottom’s view, since puzzle-solving, critical and imaginative activities are clearly consonant with piecemeal change. I suppose it is because the view retains some of Kuhn’s machinery, including his notion of a disciplinary matrix.

At any rate, Rowbottom suggests that scientists may work within a partial disciplinary matrix, or a set of partially overlapping ones. He also makes the intriguing claim that “scientists might allow inconsistency at the global level, and even welcome it as a better alternative than a consistent system with less puzzle-solving power” (202). One might object that Kuhn’s incommensurability thesis seems to block the overlapping matrix move, but Rowbottom proclaims that the falsity of Kuhn’s incommensurability thesis follows “as a consequence of the way that piecemeal change can occur” (201). One person’s modus ponens is another’s modus tollens, as they say.

A Digestible Kuhn

The brevity of the contributions makes them eminently digestible and good potential additions to course syllabi at a range of levels; on the other hand, it means that some of the most provocative and topical themes of the book — such as the epistemic and methodological status of generalizations about science and the role of general philosophy of science in contemporary philosophy — don’t get the full development they deserve. The volume raises more questions than it satisfactorily addresses, but several of them bring renewed relevance and freshness to Kuhnian philosophy of science and ought to direct its future course.

Contact details: amandabryant@trentu.ca

References

Mizrahi, Moti (Ed.) The Kuhnian Image of Science: Time for a Decisive Transformation? Lanham, MD: Rowman & Littlefield, 2018.

Author Information:Lydia Patton, Virginia Tech, critique@vt.edu

Patton, Lydia. “Incommensurability and the Bonfire of the Meta-Theories: Response to Mizrahi.” Social Epistemology Review and Reply Collective 4, no. 7 (2015): 51-58.

The PDF of the article gives specific page numbers. Shortlink: http://wp.me/p1Bfg0-2c6

Please refer to:

epicycles

Image credit: Wikimedia Commons

What is Taxonomic Incommensurability?

Moti Mizrahi states Kuhn’s thesis of taxonomic incommensurability (TI) as follows:

Periods of scientific change (in particular, revolutionary change) that exhibit TI are scientific developments in which existing concepts are replaced with new concepts that are incompatible with the older concepts. The new concepts are incompatible with the old concepts in the following sense: two competing scientific theories are conceptually incompatible (or incommensurable) just in case they do not share the same “lexical taxonomy.” A lexical taxonomy contains the structures and vocabulary that are used to state a theory (2015, 2).

Mizrahi cites Kuhn (2000) as a basis for this definition. There, and elsewhere, Kuhn repeatedly employs the metaphor of incommensurability from Greek geometry:  Continue Reading…

Author Information: Armin Krishnan, University of Texas at El Paso, akrishnan@utep.edu

Krishnan, Armin. 2013. “Organizing Science: A Further Reply to Fred D’Agostino.” Social Epistemology Review and Reply Collective 2 (3): 19-21.

The PDF of the article gives specific page numbers. Shortlink: http://wp.me/p1Bfg0-H7

Please refer to:

I want to thank Professor D’Agostino for his kind response to my comments. I am aware that epistemologists have debated the problem of incommensurability ever since Thomas Kuhn brought it up in reference to his concept of scientific paradigms. My way of thinking is more influenced by the pragmatism expressed in Paul Feyerabend’s Against Method (1978), which also developed a concept of the incommensurability of disciplines and methodologies. If something works in terms of expanding or improving our understanding of a specific subject matter or in terms of solving a specific problem, it should be good enough. Scientists and academics should not be too limited by the constraints of disciplinary thinking and should instead try to build bridges to other disciplines and other forms of human knowledge.

I do appreciate and accept Professor D’Agostino’s response that the question of an optimal organization of science is not even decidable since we have no conception of optimal scientific performance and since we have no possibility of comparing the current organization of science with some non-existing hypothetical alternative organization of science. Different arrangements for the organization of science maybe indeed so different as to be considered incommensurable or, in other words, might be so different that they could not even be compared in any meaningful way. Nevertheless, I do think that the way in which the disciplines were originally conceived and the way in which they developed is historically contingent and is not predetermined by some epistemic necessity. It rather appears that “the present organization of content into departments is highly arbitrary, a product in large part of historical accident” (Campbell 1969, 364). We could have a very different set of disciplines if there had been different founders of disciplines or different scientific inventors at the time, or if they had been preoccupied with different scientific questions or problems. The problem with disciplinarity as I see it is that it results in the division of knowledge into compartments that resist easy access because the disciplines protect their body of knowledge through the invention and use of discipline-specific knowledge practices. This makes real interdisciplinarity more difficult and causes, as described by Donald T. Campbell, in the “redundant piling up of highly similar specialties” separated in different disciplines and departments (1969, 361). Continue Reading…

Author Information: Fred D’Agostino, University if Queensland, Australia, f.dagostino@uq.edu.au

D’Agostino, Fred. 2013. “Reply to Armin Krishnan.” Social Epistemology Review and Reply Collective 2 (2): 24-25

The PDF of the article gives specific page numbers. Shortlink: http://wp.me/p1Bfg0-FC

Please refer to: Krishnan, Armin. 2013. “Response to Fred D’Agostino’s ‘Disciplinarity and the Growth of Knowledge’”. Social Epistemology Review and Reply Collective 2 (2): 19-23.

Thanks to Dr Krishnan for the very thoughtful comments on my paper “Disciplinarity and the Growth of Knowledge”. I will share some anecdotes by way of reply.

When I was considering writing on the topic of “incommensurability”, an issue which arises in two, related formed, I thought: “I’d better have a look at the databases and see what’s been published”. What I found, approaching the matter as a philosopher, was, for example, an Annual Review of Sociology article on incommensurability, as seen from a sociological perspective, some management studies literature, and some literature from multi-criterion decision theory. All of this was immensely influential in the approach that, in due course, after lots of cogitation, I adopted in my book Incommensurability and Commensuration (Ashgate 2003). I built a non-essentialist story about how what is incommensurable can be commensurated and how what could be commensurated, if we wanted, can be “declared” incommensurable around these readings from outside my own home discipline. (In which, to complicate the story, I have never been formally trained.) So I guess that I agree with Dr Krishnan that “the dynamics and tension between disciplines … enables much of the innovation that occurs within disciplines” (20). Insofar as what I had to say about incommensurability was innovative from a philosophical point of view, it was so because I’d engaged with other disciplines.

That’s one part of this first anecdote. The other part is that my work on incommensurability has never entered the specifically philosophical discourse on that topic to any significant degree. Now, of course, it may be that it’s no good, or even that it’s misconceived and its being ignored is really a kindness and I should complain (not that I am complaining). But it’s also possible that, precisely because of the multidisciplinary underpinnings of the work, it’s simply hard to process by philosophers, especially since my discussion simply bypasses as not of central significance many of the preoccupations of contemporary philosophy when it comes to incommensurability.

My second anecdote arises from my experience as an academic manager and, specifically, as a member of a review panel which did the septennial review of a School of Tourism. The other panel members were themselves founding generation tourism studies academics from Britain, the Continent and North America, and of considerable distinction. One of their major concerns, not specific to the particular School we were reviewing, was that there was a pipeline of students who had done undergraduate, then post-graduate, then doctoral studies all in Tourism and hence, unlike this “founding generation”, had had limited exposure to the disciplines that they’d been engaged with as ways of entry into tourism studies: one was an economist, one a geographer, one an anthropologist “by training”. They all worried that the new generation of tourism academics were not going to have the sort of disciplinary training that would enable them to do high-quality research. Continue Reading…