Category Archives: Scientism

Literature Only Economics vs. Practical Problem Solving Economics

I am much more fundamentalist than pluralist, because I believe a new unified economics is necessary and possible that can replace mainstream economics…. I believe it is necessary to provide new foundations for almost all heterodox economics…. [O]ur theory provides microfoundations …

(Shiozawa Yoshinori, RWER, Response to Mr. T. Confessing his fundamentalist anti-pluralism, RWER, 12/19/2022)

Key conclusions drawn from this qualitative research include: a simple definition of heterodox economics is not possible nor is a simple dichotomy distinguishing it from mainstream economics because of a quite complex relationship; a kairotic experience is common to heterodox economists (that is, a decision point at which mainstream economic theory is rejected) although shared identifiable reasons for this rejection were not found; heterodox economists consider the role of power is understated and/or ignored by mainstream economics; it can be inferred that heterodoxy has some commonality (ontological or methodological) because “most interviewees view the economic process as open to and interrelated with cultural, social, psychological, political, financial, geographical, bio-physical, and ecological factors” (ibid: 287); economists who identify as heterodox are committed to, and advocates of, pluralism that is not relativism, is different from that ‘advocated’ by the mainstream and is not ‘anything goes’; and, the heterodox community has: 

a diversity of origins, purposes, and standards for economic reasoning, ranging amongst others from history and philosophy of economics, to modelling, community organizing, and policymaking. Heterodox economics can therefore be likened to a eudaemonic bubble that enables the flourishing of its members (ibid: 285, emphasis added).

(Lynne Chester, Tae-Hee Jo, Heterodox Economics: Legacy and Prospects, WEA 2022)

I came to think of humans as a kind of Turing machine. I searched for stories which reinforced the parable. There were many of them. However, Üxküll’s tick story was the most impressive (Kindle Locations 884-887). (….) Üxküll’s tick and the Turing machine parable all fitted together in one idea (Kindle Locations 900-907). (….) We find an astonishing coincidence with my Turing machine parable of animal and human behaviors…. This is the most primitive case of the definition of the situation.

(Shiozawa et. al. (2019) Microfoundations of Evolutionary Economics. Kindle Locations 884-887, 900-907, 926-933. Springer Japan. Emphasis added.)

When, fraudulently basking in the glory of the exact sciences, the psychologists [, theoretical economists like above, etc.,] refuse to study anything but the most mechanical forms of behavior  often so mechanical that even rats have no chance to show their higher faculties — and then present their mostly trivial findings as the true picture of the human mind, they prompt people to regard themselves and others as automata, devoid of responsibility or worth, which can hardly remain without effect upon the tenor of social life.

(Andreski 1973, 33-34, in Social Sciences as Sorcery)

Human reality also includes insight, knowledge, and foresight; we are not mere Turing machines, automatons, or fitness climbing ‘ticks’. Humans evolved from animals indeed, but we have also evolved capabilities our forebears lack and Shiozawa ignores and/or sweeps all but the most primitive (i.e., mechanical) cases under the rug in the name of mathematical tractability. We can look before we leap and reflectively think both before and after we leap (or choose not to leap). Shiozawa rightly notes the absurd ME claim of infinite knowledge, but it is equally absurd to reduce human beings to the level of “social insects” as he does in his fitness climbing tick or Turing machine analogy.

Shiozawa spoofs both biology and computer science. He pays only lip service to complexity ignoring real-world phenomenal intractability. He arrogantly makes ex cathedra claims like a used car salesperson, posting on RWER his theory is “A behavioral and cognitive theory that does not build on rationality of agents and equilibrium framework [and] is already presented and is applied to analyze a system as big as world economy (Shiozawa, comment posted on RWER).” Yet, his book explicitly excludes and doesn’t deal with finance or the financial markets and many other aspects of the real economy which are most certainly in a big way part of the a “system as big as the world economy” and impact how it works or more importantly, as the 2007-2008 GFC show, doesn’t work.

Shiozawa dishes up old mutton sold as new young lamb for nowhere is to be found a serious investigation of complexity (let alone biology or computer science) and the real-world intricate and interdependent complexities of living adaptive systems rich with dynamic feedback patterns and emergent levels of part-whole and top-down causation vs. bottom-up causation, etc., for the list goes on and on.

You have gotten a good number of ardent supporters, but many of them are feeble minded people who believe that they can change economics if they denounce mathematics and natural sciences. They are simple minded anti-scientists.

— Yoshinori Shiozawa, RWER: Lars Syll, New Classical macroeconomists — people having their heads fuddled with nonsense, 2/13/2018

Shiozowa Yoshinnori consistently misrepresents the meaning and substance of Lars arguments, complaining incessantly on RWER how Lars is destroying young minds and turning them off from economics. His personal communication reveals he views Lars valid critique as an existential threat to his own being as a theoretical economist who promotes a theory first ideology akin to ex cathedra religious dogma. In reality Shiozawa is engaging in a form of Freudian projection onto Lars and others of his own deepest fears. Yoshinori Shiozawa likes to engage in nasty ad hominem accusing others of being feeble minded while arrogantly pontificating a whig interpretation of the history of science. We are not required to take such arguments on their face value, and neither should reasonable people take such disingenuous, ahistorical arguments seriously, let alone at face value.

It seems he believes if Lars and others are right that economics as practiced traditionally through abstract model building divorced from empirical reality (i.e., assuming and deducing without real-world evidence) and phenomenal intractability is an abysmal failure doomed to be dustbin of history then his own narrow view of science (a philosophically naive form of scientism) is inadequate to the task facing the next generation of economists who are working to reform and rebuild the field using more pragmatically oriented real-world evidence based practices as described by Delorme:

It is an approach giving primacy both to looking and discovering rather than to assuming and deducing, and to complexity addressed in its own right rather than to complex systems in which complexity is often viewed tautologically as the behavior of complex systems.

(Robert Delorme, (WEA Conference), 11/30/2017.)

In 2017 the World Economics Association hosted a conference on Complexity in Economics in which Robert Delorme presented a paper titled A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science: Deep Complexity. The conference papers have been turned into a book the first chapter of which is Robert Delorme’s paper. The abstract reads:

Complex phenomenal intractability in economics, in particular, and in social science in general, is neglected in theorizing in these areas. This intractability is complex because it is an offspring of certain complex phenomena. It is phenomenal because it relates to empirical phenomena, which distinguishes it from conceptual and computational approaches to intractability and complexity. Among the possible reasons for this neglect, one is, in established complexity theory, the focus on computer simulations which seemingly solve for analytical sources of intractability. Another one is the relegation of intractability proper to theoretical computer science. Yet the empirical inquiries that originated this research reveal significant cases of intractable complex phenomena that are accommodated neither by existing complexity theory nor by the theory of computational intractability. The task ahead is therefore to construct a theory of complexity with phenomenal intractability. A reflexive cognitive behavioral modelling is developed and tested through its application. It results in what may be called a Deep Complexity procedure.

(Dolorme 2017, in Davis, John (2020) Economic Philosophy: Complexities in Economics . WEA. Kindle Edition.)

~ ~ ~

In a recent WEA This was a paper hard to read. It does not mean that the paper was badly written. The difficulty of the task that the author sought enforced him to write this difficult paper. After struggling a week in reading the paper, I am rather sympathetic with Delorme. In a sense, he was unfortunate, because he came to be interested in complexity problems by encountering two problems: (1) road safety problem and (2) the Regime of Interactions between the State and the Economy (RISE). I say “unfortunate,” because these are not good problems with which to start the general discussion on complexity in economics, as I will explain later. Of course, one cannot choose the first problems one encounters and we cannot blame the author on this point, but in my opinion the good starting problems are crucial to further development of the argument of complexity in economics.

Let us take the example of the beginning of modern physics. Do not think of Newton. It is a final accomplishment of the first phase of modern physics. There will be no many people who object that modern physics started by two (almost simultaneous) discoveries: (1) Kepler’s laws of orbital movements and (2) Galileo’s law of falling bodies and others. The case of Galilei can be explained by a gradual rise of the spirit of experiments. Kepler’s case is more interesting. One of crucial data for him was Tycho Brahe’s observations. He improved the accuracy of observation about 1 digit. Before Brahe for more than one thousand years, accuracy of astronomical observations was about 1 tenth of a degree (i.e. 6 minutes in angular unit system). Brahe improved this up to an accuracy of 1/2 minute to 1 minute. With this data, Kepler was confident that 8 minutes of error he detected in Copernican system was clear evidence that refutes Copernican and Ptolemaic systems. Kepler declared that these 8 minutes revolutionize whole astronomy. After many years of trials and errors, he came to discover that Mars follows an elliptic orbit. Newton’s great achievement was only possible because he knew these two results (of Galilei and Kepler). For example, Newton’s law of gravitation was not a simple result of induction or abduction. The law of square-inverse was a result of half-logical deduction from Kepler’s third law.

I cite this example, because this explains in which conditions a science can emerge. In the same vein, the economics of complexity (or more correctly economics) can be a good science when we find this good starting point. (Science should not be interpreted in a conventional meaning. I mean by science as a generic term for a good framework and system of knowledge). For example, imagine that solar system was composed of two binary stars and earth is orbiting with a substantial relative weight. It is easy to see that this system has to be solved as three-body problem and it would be very difficult for a Kepler to find any law of orbital movement. Then the history of modern physics would have been very different. This simple example shows us that any science is conditioned by complexity problems, or by tractable and intractable problem of the subject matter or objects we want to study.

The lesson we should draw form the history of modern physics is a science is most likely to start from more tractable problems and evolve to a state that can incorporate more complex and intractable phenomena. I am afraid that Delorme is forgetting this precious lesson. Isn’t he imagining that an economic science (and social science in general) can be well constructed if we gain a good philosophy and methodology of complex phenomena?

I do not object that many (or most) of economic phenomena are deeply complex ones. What I propose as a different approach is to climb the complexity hill by taking a more easy route or track than to attack directly the summit of complexity. Finding this track should be the main part of research program but I could not find any such arguments in Delorme’s paper. (Yoshinori Shiozawa, A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science. In Economic Philosophy: Complexity in Economics (WEA Conference), 10/10/2017.)

1) My paper can be viewed as an exercise in problem solving in a context of empirical intractability in social science. It was triggered by the empirical discovery of complex phenomena raising questions that are not amenable to available tools of analysis, i.e., are intractable. Then the problem is to devise a model and tools of analysis enabling to cope with these questions. Then, unless someone comes with a complex system analysis or whatever tool that solves the problem at stake, a thing I would welcome, I can’t think of any other way to proceed than focusing on the very cognitive process of knowledge creation and portraying it as a reflective, open-ended, problem-first cognitive behavioral endeavour. It is an approach giving primacy both to looking and discovering rather than to assuming and deducing, and to complexity addressed in its own right rather than to complex systems in which complexity is often viewed tautologically as the behavior of complex systems. The outcome is a new tool of analysis named Deep Complexity in short. I believe that the availability of this tool provides a means to take more seriously the limitations of knowledge in a discipline like economics in which inconclusive and non demonstrative developments are not scarce when sizeable issues are involved.

2) Yoshinori Shiozawa raises the question of where to start from, from tractable problems or from the intractable? He advocates the former and suggests to “evolve to a state that can incorporate more complex and intractable phenomena”. But then, with what tools of analysis for intractable phenomena? And I would have never addressed intractability if I had not bumped into unresolved empirical obtacles. Non commutative complementarity is at work here: starting with the tractable in a discipline dominated by non conclusive and non demonstrative debates doesn’t create any incentive to explore thoroughly the intractable. It is even quite intimidating for those who engage in it. This sociology of the profession excludes de facto intractability from legitimate investigation. Then starting from the possibility of intractability incorporates establishing a dividing line and entails a procedural theorizing in which classical analysis can be developed for tractable problems when they are identified, otherwise the deep complexity tool is appropriate, before a substantive theorizing can be initiated. It is a counterintuitive process: complexification comes first, before a further necessary simplification or reduction. (Robert Delorme, (WEA Conference), 11/30/2017.)

In my first comment in this paper, I have promised to argue the track I propose. I could not satisfy my promise. Please read my second post for the general comments in discussion forum. I have given a short description on the working of an economy that can be as big as world economy. It explains how an economy works. The working of economy (not economics) is simple but general equilibrium theory disfigured it. The track I propose for economics is to start form these simple observations

As I have wrote in my first post, modern science started from Galileo Galilei’s physics and Johaness Kepler’s astronomy. We should not imagine that we can solve a really difficult problem (Delorme’s deep complexity) in a simple way. It is not a wise way to try to attack deep complexity unless we have succeeded to develop a sufficient apparatus by which to treat it. (Yoshinori Shiozawa, A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science. In Economic Philosophy: Complexity in Economics (WEA Conference), 11/30/2017.)

Dear Dr Shiozawa, it seems that we are not addressing the same objects of inquiry. Yours seems to stand at an abstract level of modern science in general. Mine is much less ambitious: it is grounded in research on how to deal with particular, empirically experienced problems in real economic and social life, that appear intractable, and subject to scientific practice. Deep Complexity is the tool that is manufactured to address this particular problem. It may have wider implications in social science. but that is another story. (Robert Delorme, A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science. In Economic Philosophy: Complexity in Economics (WEA Conference), 11/30/2017.)

You are attacking concrete social problems. I am rather a general theorist. That may be the reason of our differences of stance toward your problem.

Our situation reminds me the history of medicine. This is one of the oldest science and yet as the organism is highly complex system, many therapies remained symptomatic. Even though, they were to some extent useful and practical. I do not deny this fact. However, modern medicine is now changing its features, because biophysical theories and discoveries are changing medical research. Researchers are investigating the molecular level mechanism why a disease emerges. Using this knowledge, they can now design drugs at the molecular level. Without having a real science, this is not possible.

[Note Shiozawa’s implicit claim that previous medical science was not real science, but became real with the advent of molecular biology. No doubt molecular biology has opened up new domains of knowledge, but of course it is simply ludicrous to claim medicine wasn’t real science prior to molecular biology, as many perfectly valid scientific discoveries prior to and/or discovered without molecular biology are available to prove this assertion simply false. As Delorme states plainly below, this is scientism, not to mention an abysmal attempt to use revisionist history for purely rhetorical purposes. For a description of literature-only economics see Payson 2017. For a good description of the kind of scientism Shiozawa is parroting see Pilkington 2016. To use one of Shiozawa’s misquoted authors for go-to appeals to authority (unfortunately his memory doesn’t serve him well as Andreski contradicts his claim on RWER), see Stanislav Andreski’s Social Sciences as Sorcery (1973, 22-23).]

Economics is still in the age of pre-Copernican stage. It would be hard to find a truth mechanism why one of your examples occurs. I understand your intention, if you want say by the word of “deep complexity” a set of problems that are still beyond our ability of cognition or analysis. We may take a method very different from the regular science and probably similar to symptomatology and diagnostics. If you have argue in this way, it would have made a great contribution to our forum on complexities in economics. This is what I wanted to argue as the third aspect of complexity, i.e. complexity that conditions the development of economics as science.

To accumulate symptomatic and diagnostic knowledge in economics is quite important but most neglected part of the present day economics. (Yoshinori Shiozawa, A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science. In Economic Philosophy: Complexity in Economics (WEA Conference), 12/1/2017, italics added.)

It is interesting to learn that, as an economist and social scientist, I must be in a “pre-Copernican” stage. Although what this means is not totally clear to me, I take it as revealing that our presuppositions about scientific practice differ. You claim to know what is the most appropriate way of investigating the subject I address, and that this way is the methods and tools of natural science. I claim to have devised a way which works, without knowing if it is the most appropriate, a thing whose decidability would seem to be quite problematic. And the way I have devised meets the conditions of a reflective epistemology of scientific practice, in natural science as well as in social science. Your presupposition is that the application of the methods of natural science is the yardstick for social science. This is scientism.

My presupposition is that there may be a difference between them, and that one cannot think of an appropriate method in social science without having first investigated and formulated the problem that is presented by the subject. As a “general theorist”, your position is enjoyable. May I recall what Keynes told Harrod: “Do not be reluctant to soil your hands”. I am ready to welcome any effective alternative provided it works on the object of inquiry that is at stake. It is sad that you don’t bring such an alternative. As Herb Simon wrote, ”You can’t beat something with nothing”. I borrow from your own sentence that “if you had argued this way, it would have made a great contribution to our forum…” (Robert Delorme, A Cognitive Behavioral Modelling for Coping with Intractable Complex Phenomena in Economics and Social Science. In Economic Philosophy: Complexity in Economics (WEA Conference), 12/1/2017, italics added.)

Story Telling in Economics

A Question I Once Raised During a Conference

Many years ago, when I was attending a session at an economics conference, I heard a presentation by a professor about the relationship between economic growth and technology change. In his presentation he purported to show a high correlation between the number of new patients (registered with the US Patent and Trademark Office) and economic growth. This enabled him to conclude that there was a causal relationship between technological change (as reflected by patent counts) and economic growth. This finding, by the way, is the kind that is very often hailed by organizations that offer research grants to economic professors and to other scientists. This is because findings serve as evidence for the “social benefits of R&D” which these organizations can, and often do, use to drum up political support for their organizations. It is also highly appealing to many people—admittedly, myself included—who love science and loving thinking about how beneficial scientific and technological advancement can be when it is properly and responsibly managed. So I realized that the paper being presented would be music to many people’s ears, and that it would help him receive praise, perhaps a publication, and perhaps even grant money, for his research. (Payson 2017, 3)

Given my own background on the topic … I had a question about his stated findings, which I politely asked during the question-and-answer session. In asking my question I mentioned that I was familiar with a well-known change in patent laws that occurred at the beginning of the time span that he was analyzing. As many who are familiar with patents know, the vast majority of patents that are issued have no real value and are not in fact used by the company that holds the patent. What generally occurs is that a company acquires a very valuable patent and also createes dozens of other patents that are “close” (in their subject matter) to that valuable one. The reason for their doing this is to protect their valuable patent so that no company can produce a similar patent that competes with theirs. The change in patent laws, which I just referred to, had made it easier for companies to acquire similar patents to ones that already existed, which essentially created a need for companies issuing important patents to “surround” their main patent by more of these other unused “protective patents.” (Payson 2017, 3)

So, in my question to the presenter, I asked whether it might simply be possible that the increase in registered patents that his study observed was attributable to that change in patent laws, which was apparently occurring at the same time that GDP was growing fairly well. GDP was growing at that time due to a general upturn in the economy in which employment was on the rise and inflaction had been brought under control. In other words, perhaps it was simpl a coincidental that both patent counts and real GDP were rising during the same period, but there was no causal relationship between the two. I asked him, essentially, if he thought that such a coincidence might be an alternative explanation for why patents and GDP were rising at the same time. (Payson 2017, 3-4)

The presenter’s reaction, especially in terms of his facial expression, reflected a typical response that I must have seen hundreds of times in my 35 years as an economist. Upon hearing my question he condescendingly smiled from ear-to-ear, while constraining himself from laughing, and he replied in an artificially diplomatic and sarcastic tone, “Oh I know all that [about the patent law change.] But … that’s not my story“—the story that he wanted to tell—and he was thoroughly amused that someone in the audience would be naïve enough to actually think about whether his findings were scientifically valid. Scientific validity of one’s findings is not only rarely discussed during paper presentations at economics conferences, but when it is, it is, more often than not, a source of amusement by the presenters of the papers and their audiences than an actual concern that might lead to improving people’s work. (Payson 2017, 4)

The Profession’s Genuine Arrogance toward Concerns about Scientific Integrity

(….) [M]any academic economists respond with smug, arrogant dismissal or laughter when the topic of scientific integrity or professional ethics is brought before them. It might be surprising to those who are less familiar with the profession that such arrogance and frivolity is as observable as much among some of the most prominent economics professors as among those who are not prominent. In the documentary Inside Job, one can observe this kind of arrogance directly among high-ranking professors as they were being interviewed. (Payson 2017, 4)

As another example, Deirdre McCloskey, a former member of the board of directors of the American Economic Association (AEA) (which consists only of highly ranked professors), has told of how she was there when the board broke into laughter when a letter was read aloud at one of their meetings. The letter was someone who was simply asking whether the AEA would consider adopting a code of ethics for economists. (Payson 2017, 4)

Many economics professors do not laugh or make arrogant statements, but express conceit in an entirely different way, such as feeling sorry for those who are even thinking about scientific integrity or professional ethics—thinking to themselves how pathetically stupid, naïve, or childishly innocent those people must be. There is, in fact a substantial literature on the more scholarly problem of arrogance in the academic economics profession. This literature was written entirely by “insiders”—highly prominent professors themselves, some even Nobel laureates. (Payson 2017, 4-5)

(….) In the absence of the commitment to contributing to useful knowledge, the behavior of the work of academic economists have been dominated by two other major forces: (1) the mathematical games that are played for the sake of getting published and acquiring grant money, and (2) cronyism within the profession, which, in combination with the mathematical game playing, has dominated the reward system and incentive system of the profession. (Payson 2017, 10)

[T]o examine the validity of the claim that these are highly useful branches of knowledge [e.g., economics], let us ask what their contribution to mankind’s welfare is supposed to be. To judge by the cues from training courses and textbooks, the practical usefulness … consists of helping people to find their niche in society, to adapt themselves to it painlessly, and to dwell therein contentedly and in harmony with their companions. (Andreski 1973, 26, in Social Sciences as Sorcery)

Andreski 1973, 26, in Social Sciences as Sorcery

Literature-Only Discourse and the Pretense of Scientific Merit

Regardless of all the various arguments made against most theoretical economics, “defenders of the faith” will continue to espouse the party line. That is, they will say that, regardless of the bad and unproductive habits of theoretical economics, good things—namely, genuine and extremely valuable discoveries in economic theory—do fall out of the chaos. They will continue to argue that these valuable discoveries, even though they may be rare, ultimately justify the chaos and the inefficiencies of the system. To get past this convenient, blind faith, I will argue that it is possible for us to identify what characteristics of most top-ranked, theoretical literature actually do prevent it from contributing to valuable knowledge. In this way, we may be able to filter it out from this point on, without removing any of the top-ranked literature that is truly valuable. (Payson 2017, 51)

Defining the Filter

Let us consider a subset of all published papers in economics that meet all of the following three criteria. If it meets any one of the criteria, the paper may still be considered as an acceptable contribution to useful knowledge. (Payson 2017, 51)

Criterion 1: The paper uses a model that has no “real application.” Along these lines, if the paper presents a model for the purpose of being persuasive on a particular policy position, but presents no real evidence in support of that position (and is only a model that essentially “rediscovers its assumptions”) then it would still meet this criterion of having no real application. (Payson 2017, 51)

Criterion 2: The paper relies on assumptions or data that cannot be verified, or the situation exists in which alternative assumptions or data can be reasonably found that would yield entirely different, conflicting results (as in the McCloskey’s A-Prime, C-Prime Theorem). (Payson 2017, 51-52)

Criterion 3: The methodology of the paper would only be understood, valued, and genuinely studied by a very small group of other economists with advanced expertise in that highly specific topic. (Payson 2017, 52)

Let us call a paper that meets all of these criteria a “literature-only paper”—its purpose is only for the career advancement of the author and for the production of literature to be read and actually understood by a very small audience. Similarly, let us call the work done by economists to produce literature-only papers “literature-only work” or “literature-only discourse.” To be clear, this chapter does not discuss top-ranked literature in general—only literature-only papers that meet all (every one) of the above-mentioned criteria. (Payson 2017, 52)

(….) The only thing that truly constitutes “scientific merit”—indeed, the only thing that really matters in science—is an honest and successful effort to learn how the world actually works—not an effort to create impressive systems of mathematical equations that only very smart and very educated people can proudly decipher. Many graduate students in economics, especially those with little interest or experience in natural science, are ignorant of this. They then go on to become economics professors where they remain ignorant, and pass on their ignorance to their graduate students, the cycle repeats with each generation. (Payson 2017, 52)

In response to this accusation, many theoretical economists will argue that, from looking at the work itself, we have no basis for distinguishing between valid, scientific economic theory, and invalid, unscientific economic theory. Nevertheless, I would like to propose a very simple test could enable us to make this distinction: We look at the assumptions made in the analysis, and ask, “Can an alternative set of equally defensible assumptions be made that will lead to very different conclusions?” If the answer is “Yes,” then conclusions of the research in question have no degree of certainty—implying that the research has not contributed to our understanding of how the real world works. If those conclusions are then used to provide a false understanding of how the real world works, then this is simply a deception, which may be harmful in various respects. (Payson 2017, 52-53)

Let us call economic theory that falls under this category “unscientific economic theory” to bring home the point that science plays no role in justifying the existence of such self-serving conceptual games…. So why has the problem not been solved? The answer is that this solution or anything like it, cannot be heard by unscientific theoretical economists—it falls on deaf ears. (Payson 2017, 53)

Selling New Terminology and Supposedly New Concepts

(….) In many cases new terminology is offered in literature-only discourse as the basis for a new theoretical model that appears to capture an important concept. In general, the important concept is already known and understood under different names. Nevertheless, when a prominent theoretical economist presents a new term that they promote as a “new concept,” and at the same time present a very elaborate and sophisticated model to supposedly “explain” the concept in mathematical terms, it may appear, especially to naïve observers, that their research has truly discovered something important. Many may have trouble distinguishing in their own minds the value of the new terminology from the value of the arbitrary assumptions that were used to create a sophisticated model to explain it. (Payson 2017, 60)

Prematurity in Scientific Discovery

Scientists and historians can cite many cases of scientific and technological claims, hypotheses, and proposals that, viewed in retrospect, have apparently taken an unaccountably long time to be recognized, endorsed, or integrated into accepted knowledge and practice. Indeed, some have had to await independent formulation. (Hook 2002, 3)

(….) One may classify at least five grounds on which scientific claims or hypotheses—even those later achieving widespread recognition or endorsement—may be rejected at first offering. In addition to prematurity …, investigators may reject or choose to not follow up on a scientific report or hypothesis because (1) they are unaware of it, (2) having reviewed it, they judge it to be of no immediate relevance to their current work and therefore ignore it, (3) they harbor inappropriate prejudice against some aspect of the claim or its proponent, or (4) it appears to clash directly with their observation or experience. (Hook 2002, 4)

(….) Less readily overcome obstruction may stem from strong social forces—religious, ideological, political, and economic—that lead to challenge, rejection, or suppression. In practice, the only remedy may be to seek expression and circulation of the unrecognized, inhibited, or suppression ideas, proposals, and interventions in areas and social climates where the prohibitive factors do not reign. But in principle, in an enlightened society one may suggest some goals, some general social solutions to overcome the barriers. As obvious as they may be, I believe it worthwhile to list some of them: limitation of economic suppression of new inventions or useful technology, encouragement of ideological tolerance, opposition to implacable doctrinaire social forces, and most important tactically, attempts to disconnect the apparent implications of scientific discoveries from the feared ideological consequences. (Hook 2002, 6)

Factors related to but distinct from more global social forces concern resistance at the individual level. New scientific and technical discoveries may threaten not one’s economic welfare or ideological persuasion but rather the “psychic capital” invested in current scientific views—some involving one’s own work—challenged implicitly or explicitly by a new report. Of course the longer one has held views and invested energy in them, the more reluctant one may be to alter them. This inevitably results in conceptual inertia that some have associated with aging. And ranker reasons than those produced by hardening of cerebral arteries or of scientific beliefs may arise from prejudices of culture, nation, gender, ethnicity, or race. (Hook 2002, 6-7)

All these sources of resistance to discovery originate in what some have termed the “externalist” factors influencing science.[13] And for all the above factors, one may, in principle, suggest some types of science policies to address them. For instance, the review of work by referees without knowledge of its authors, as currently practiced by some journals, clearly diminishes effects of some types of prejudices that inappropriately inhibit publication. Editors close scrutiny of reviewers’ judgements may enable them to distinguish opinions based on wounded psychic capital from legitimate methodological objections. (Hook 2002, 7)

[13] For those not familiar with the term, it refers to factors extrinsic to the putative value-free application of the scientific method. Economic and/or social factors influencing scientific inquiry are externalist. This is opposed to an “internalist approach,” which focuses on those aspects of scientific inquiry seen traditionally as free of values except for the search for truth. The image most scientists have of the ideal working of science is of course the latter. Concern with issues of acceptance of a theory based on replication, falsification, and so on may be regarded as primarily internalist, and concern with those of class and economic factors as primarily externalist. But as has been pointed out on many occasions, it is really not possible to separate those absolutely. See, for example, Nagel 1950, esp. p. 22.

Oracles of Science

[S]cientism“—an exaggerated and ideologically explainable respect for a certain mistaken image of science. Indeed, two of the most remarkable figures in thrall to “scientism” were Freud and Marx themselves. Their own theories must be reinterpreted in order to free them from this incubus.

Alexander Rosenberg, Philosophy of Social Science, 2016, p. 156.

[S]cientism is] an exaggerated and often distorted conception of what science can be expected to do or explain for us. One aspect of scientism is the idea that any question that can be answered at all can best be answered by science. This, in turn, is very often combined with a quite narrow conception of what it is for an answer, or a method of investigation, to be scientific. Specifically, it is supposed that canonical science must work by disclosing the physical or chemical mechanisms that generate phenomena. Together these ideas imply a narrow and homogeneous set of answers to the most diverse imaginable set of questions. Everywhere this implies a restriction of the powers of the human mind; but nowhere is this restriction more disastrous than in the mind’s attempts to answer questions about itself.

John Dupré, Human Nature and the Limits of Science, 2002, p. 2.

Science as Pseudo-Religion

Nobel laureate Steven Weinberg, one of the greatest particle physicists of the twentieth century, assured his readers that the universe was “pointless” in his classic The First Three Minutes, still selling briskly a quarter century after its initial publication. We look in vain, says Weinberg, for a purpose for human existence or anything else and must console ourselves selves with the knowledge that science can lift the human experience above its natural level of “farce” and give it the “grace of tragedy.” (Giberson and Artigas 2007, Kindle Locations 40-43)

[Oracles of Science argue] that outside science we cannot find respectable truth; this, of course, is scientism, not science…. Scientism is a belief that serves its adherents very well, assuring them that only science provides vides a valid paradigm for assessing knowledge claims. Scientism is, however, an obviously self-defeating ideology. Its claims about its own epistemology are not the consequence of any scientific investigation but rather reach outside itself into the very realm that it claims does not exist. The claim that there is no valuable knowledge outside science certainly cannot be supported from within science. This is an extremely simple philosophical error, akin to a child claiming that because all the people he knows are in his house, that there cannot be any people outside his house. (Giberson and Artigas 2007, Kindle Locations 565-570)

When we reflect on science—its aims, its values, its limits—we are doing philosophy, not science. This may be bad news for the high priests of scientism, who reject philosophy, but there is no escaping it. Dawkins is a good scientist and a brilliant communicator and certainly would have been an effective lawyer or politician, but he seems strangely unaware that he is an abysmal philosopher and an even worse theologian. (Giberson and Artigas 2007, Kindle Locations 570-573)

How a scientist becomes a disciple of scientism is mysterious, because science and scientism are incompatible. Science owes its success to its restricted focus—its acknowledged inability to even address questions like those raised by scientism, much less answer them. Scientists concentrate on very particular subjects, generally astonishingly narrow, and use rigorous methods to study them, submitting their hypotheses to careful scrutiny and avoiding extrapolations or unwarranted generalizations. In contrast, scientism is an unsupported generalization, bad philosophy masquerading as science or one of its consequents. This qualifies as a virus of the mind, to use Dawkins’s own terminology. Most of scientism’s disciples are casual and probably not even aware that they hold this philosophy, but when scientism is seriously adopted, it becomes a sort of pseudo-religion, providing a meaning to life, and an ideal for which one will fight. Conversion to this strong form of pseudo-religious scientism often derives from two related factors: a disillusionment with some form of traditional religion, and the discovery that science is wonderful and seems to provide meaning and values, in addition to knowledge. (Giberson and Artigas 2007, Kindle Locations 573-579)

There are indeed important values associated with scientific work, and the progress of science contributes to their spread. Progress in crucial aspects of contemporary culture reflects the spread of scientific values. But as most practicing scientists have discovered, one can work in science, easily mixing its values with unrelated extra-scientific interests. (Giberson and Artigas 2007, Kindle Locations 579-580)

Dawkins points, repeatedly and with enthusiasm, to the diversity of religions and concludes that their very diversity proves that no one of them is reliable. Of course, Dawkins’s ideas are themselves much debated among scientists, and serious disputes do indeed exist regarding the very aspects of evolutionary theory that he champions. This, however, hardly constitutes an argument that all these various points of view are equally vacuous and that there can be no serious discussion about them. Dawkins seems strangely unmoved by the large number of thoughtful scholars—including his colleagues leagues at Oxford University, like Keith Ward, Alister McGrath, and Richard Swinburne—whose religious beliefs are accompanied by serious reflection and considerations of evidence. (Giberson and Artigas 2007, Kindle Locations 580-584)

There is, to be sure, a great difference between the general unanimity of science and the diversity of religions. But there is a considered response to this. We reach the peculiar agreement and intersubjectivity of natural science only when we deal with repeatable patterns in the natural world. Scientists have the luxury of gathering together in laboratories to share common, repeatable, and predictable experiences. It is no surprise that when we pose problems related to meaning and spiritual realities, it is more difficult to reach agreement. When we insist on testability, empirical control, quantification, repeatability, and so on, we should be aware that we are confining our study to those realities that meet these criteria. This study is both wonderful and exciting, but it has absolutely nothing to do with the scientism that would impose its straitjacket on the human mind, denying the value or validity of other explorations. (Giberson and Artigas 2007, Kindle Locations 584-589)

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The Ideological Uses of Evolutionary Biology in Recent Atheistic Apologetics

Why should we be concerned about biology and ideology? One good reason is that the use of biology for non-biological ends has been the cause of immense human suffering. Biology has been used to justify eugenic programs, enforced sterilization, experimentation on living humans, death camps, and political ambitions based on notions of racial superiority, to name but a few examples. We should also be concerned because biological ideas continue to be used, if not in these specific ways, then in other ways that lie well beyond science. Investigating the past should help us to be more reflective about the science of our own day, hopefully more equipped to discern the ideological abuse of science when it occurs. (Alexander and Numbers 2010)

One of the most remarkable developments during the opening years of the twenty-first century has been the appearance of a number of high-profile populist books offering an aggressively atheist critique of religion.’ This “clustering” of prominent works of atheist apologetics in the period 2004-7 is of no small historical interest in its own right, and is widely taken to reflect a cultural reaction against “9/11”-the suicide attacks tacks in New York in September 2001, widely regarded as being motivated by Islamic extremism. (Alexander and Numbers 2010)

Yet the appearance of these works is of interest for another reason. A central theme of two of them is that developments in biology, especially evolutionary biology, have significantly negative implications for belief in God. Daniel Dennett’s Breaking the Spell and Richard Dawkins’ The God Delusion, both published in 2006, express the fundamental belief that the Darwinian theory of evolution has such explanatory power that it erodes many traditional metaphysical notions-such as belief in God-through its “universal acid.” This represents an extension of the basic lines of argument found in earlier works, in which an appeal to biological understandings of human origins, subsequently amplified to include accounts of the origins of human understandings of purpose and value based on evolutionary psychology, which was made in order to erode the plausibility of belief in God. (Alexander and Numbers 2010)

From its first appearance, some saw Darwinism as a potential challenge to at least some aspects of the traditional Christian view of creation. Yet it is important to appreciate that most early evolutionists, including Charles Darwin himself, did not consider that they were thereby promulgating or promoting atheism. Since the beginning of the nineteenth century, serious ous Christian thinkers had come to realize that at least some metaphorical interpretation was demanded in considering the early chapters of Genesis, so that their possible incompatibility with evolution was not the major stumbling block for the intelligentsia that might be expected (see also Harrison, Chapter 1, this volume).’ Nor is there any shortage of later significant evolutionary biologists who held that their science was consistent with their faith, such as Ronald A. Fisher, author of The Genetical Theory of Natural Selection (1930), and Theodosius Dobzhansky, author of Genetics and the Origin of Species (193’7).’ The emphasis upon Darwinism as an acid that totally erodes religious belief, though anticipated in earlier periods, appears to have reached a new intensity in the first decade of the twenty-first century. (Alexander and Numbers 2010)

This chapter sets out to explore the emergence of this focused appeal to evolutionary biology in Dennett’s and Dawkins’ recent works of atheist apologetics, both considering it in its historical context and offering an assessment of its impact on the popular understanding of Darwinism in the early twenty-first century. This appeal to biology in the defense of atheism is complex and nuanced, and there are significant differences of substance and emphasis between atheist writers who adopt such an approach. Nevertheless, some common factors emerge, which suggest that this is an appropriate line of inquiry to pursue, of no small intrinsic intellectual interest to both historians and evolutionary biologists. (Alexander and Numbers 2010, emphasis added)

As my concern in this chapter is specifically with biological issues, I shall not engage with the more general argument, also embedded within some recent atheist writings, that the natural sciences as a whole make faith in God intellectually irresponsible or risible.’ This argument occasionally reflects an implicit presumption, generally not defended by an appeal to historical scholarship, of the permanent validity of a “warfare” or “conflict” model of the historical interaction of science and religion.” It is clear that this model has continuing cultural authority, especially at the popular level. It may have been radically revised, even discredited, by academic historians; it is, however, clear that this development has yet to filter down to popular culture. While this atheist argument merits close attention, as it has relevance for the calibration of traditional Christian approaches to evidence-based apologetics, it is not a topic that I propose to address further here. My main theme is the manner in which Darwinism has been transposed in recent atheist apologetics from a provisional scientific theory to an antitheistic ideology. My focus is on the ideological use of the biological sciences, especially evolutionary biology, in recent atheist apologetics, a topic which I believe is best considered under three broad categories: (1) the elevation of the status of Darwinism from a provisional scientific theory to a worldview; (2) the personal case of Charles Darwin as a role model for scientific atheism; and (3) the use of the concept of the “meme”-a notion that reflects an attempt to extend the Darwinian paradigm from nature to culture-as a means of reductively explaining (and hence criticizing) belief in God. (Alexander and Numbers 2010)

Darwinism as an ideology

One of the most interesting developments of the twentieth century has been the growing trend to regard Darwinian theory as transcending the category of provisional scientific theories, and constituting a “world-view.” Darwinism is here regarded as establishing a coherent worldview through its evolutionary narrative, which embraces such issues as the fundamental nature of reality, the physical universe, human origins, human nature, society, psychology, values, and destinies. While being welcomed by some, others have expressed alarm at this apparent failure to distinguish between good, sober, and restrained science on the one hand, and non-empirical metaphysics, fantasy, myth and ideology on the other. In the view of some, this transition has led to Darwinism becoming a religion or atheist faith tradition in its own right. (Alexander and Numbers 2010)

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Science as a Social Activity

Most sociologists and anthropologists agree on the definition and the domain of their disciplines; the same holds true for many psychologists, political scientists, and almost all economists. The same cannot be said for philosophers and philosophy. Philosophy is a difficult subject to define, which makes it difficult to show social scientists why they should care about it—the philosophy of social science in particular…. [T]he subject is inescapable for the social scientist…. [W]hether as an economist or an anthropologist, one has to take sides on philosophical questions. One cannot pursue the agenda of research in any of the social sciences without taking sides on philosophical issues, without committing oneself to answers to philosophical questions. (Rosenberg, Alexander. Philosophy of Social Science. Boulder, CO: Westview Press; 2016; p. 1.) 

(…) Questions about what ought to be the case, what we should do, and what is right or wrong, just and unjust, are called normative. By contrast, questions in science are presumably descriptive or, as sometimes said, positive, not normative. Many of the normative questions have close cousins in the social and behavioral sciences Thus, psychology will interest itself in why individuals hold some actions to be right and others wrong; anthropology will consider the sources of differences among cultures about what is good and bad; political science may study the consequences of various policies established in the name of justice; economics will consider how to maximize welfare, subject to the normative assumption that welfare is what we ought to maximize. But the sciences—social or natural—do not challenge or defend the normative views we may hold. In addition to normative questions that the sciences cannot answer, there are questions about the claims of each of the sciences to provide knowledge, or about the limits of scientific knowledge, that the sciences themselves cannot address. These are among the distinctive questions of philosophy of science, including questions about what counts as knowledge, explanation, evidence, or understanding. (Rosenberg 2016, 2-3)

PHILOSOPHICAL PROBLEMS OF SOCIAL SCIENCE

If there are questions the sciences cannot answer and questions about why the sciences cannot answer them, why should a scientist, in particular a behavioral or social scientist, take any interest in them? The positions scientists take on answers to philosophical questions determine questions they consider answerable by science and choose to address, as well as the methods they employ to answer them. Sometimes scientists take sides consciously. More often they take sides on philosophical questions by their very choice of question, and without realizing it. The philosophy of science may be able to vindicate those choices [or undermine them]. At least, it can reveal to scientists that they have made choices, that they have taken sides on philosophical issues. It is crucial for scientists to recognize this, not just because their philosophical positions must be consistent with the theoretical and observational findings of their sciences. Being clear about a discipline’s philosophy is essential at the research frontiers of the disciplines, it is the philosophy of science that guides inquiry…. [T]he unavoidability and importance of philosophical questions are even more significant for the social scientist than for the natural scientist. The natural sciences have a much larger body of well-established, successful answers to questions and well-established methods for answering them. As a result, many of the basic philosophical questions about the limits and the methods of the natural sciences have been set aside in favor of more immediate questions clearly within the limits of each of the natural sciences. (Rosenberg 2016, 3)

The social and behavioral sciences have not been so fortunate. Within these disciplines, there is no consensus on the questions that each of them is to address, or the methods to be employed. This is true between disciplines and even within some of them. Varying schools and groups, movements and camps claim to have developed appropriate methods, identified significant questions, and provided convincing answers to them. But among social scientists, there is certainly nothing like the agreement on such claims that we find in any of the natural sciences. (Rosenberg 2016, 3)

The social and behavioral sciences have not been so fortunate. Within these disciplines, there is no consensus on the questions that each of them is to address, or the methods to be employed. This is true between disciplines and even within some of them. Varying schools and groups, movements and camps claim to have developed appropriate methods, identified significant questions, and provided convincing answers to them. But among social scientists, there is certainly nothing like the agreement on such claims that we find in any of the natural sciences. In the absence of agreement about theories and benchmark methods of inquiry among the social scientists, the only source of guidance for research must come from philosophical theories. Without a well-established theory to guide inquiry, every choice of research question and of method to tackle it is implicitly a gamble with unknown odds. The choice of the social scientist makes it a bet that the question chosen is answerable, that questions not chosen are either less important or unanswerable, that the means used to attack the questions are appropriate, and that other methods are not. (Rosenberg 2016, 4)

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The reason for the everlasting interaction between science and philosophy transpires clearly. The human mind musters an admirable ability to think up equations for physical systems. But equations need to be interpreted in terms of physical models and mechanisms. Science requires conceptual understanding. This understanding employs fundamental philosophical notions. (….) The scientific enterprise comes with philosophical commitments, whether the scientist likes it or not. The scientist needs philosophical ideas, simply because amongst the experimental and mathematical tools in the toolbox of the scientist there are conceptual tools, like fundamental notions. The despairing scientist may ask: ‘Will we ever get an answer?’ The philosopher replies: ‘Not a definitive answer, but a few tentative answers.’ Recall that the philosopher (and the scientist qua philosopher) works with conceptual models. At any one time only a few of these models are in circulation. They cannot provide the definitive answers of which the scientist is fond. But this is typical of models even in the natural sciences. (Weinert, Friedel. The Scientist as Philosopher: Philosophical Consequences of Great Scientific Discoveries. Berlin: Springer-Verlag; 2004; pp. 278-279. )

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Science is not above criticism. On the contrary, because of its influence on modern society, science and scientists need careful scrutiny as much as they deserve admiration and support. As Helen Longino eloquently puts it, science is a social process, and one that is far too important to be left in the hands of scientists alone. Perhaps the most dangerous fallacy a scientist can commit, often subconsciously, is to only do science and never think about it. Yet many scientists who I know are not aware of the broad discussion about how science is done (or shouldn’t be done) that permeates the literature in philosophy and sociology of science. Worse yet, when asked, they positively sneer at the idea of doing philosophy or sociology of science. (Pigliucci 2002: 247)

This lack of understanding of philosophy and sociology of science by scientists is, of course, at the root of … scientism … [When] a scientist of the caliber of Noble Prize-winning physicist Steven Weinberg can even go so far as writing a book chapter entitled “Against Philosophy,” in which he argues that philosophy is not only useless, but positively harmful to the scientific enterprise … [we see a] sort of hubris that offends many [religionists] … (not to mention philosophers), and they have every right to be offended. (Pigliucci 2002: 247)