If you push enough oats into a horse some will spill out and feed the sparrows.— Horse and Sparrow Economic Theory
The rich man may feast on caviar and champagne, while the poor women starves at his gate. And she may not even take the crumbs from his table, if that would deprive him of his pleasure in feeding them to his birds.— Gauthier 1986, 218, Morals by Agreement, Oxford University Press
If the rich could hire other people to die for them, the poor could make a wonderful living.— Yiddish Proverb
The power to choose the measure of success
The successful campaign to eliminate distributional issues from the core of the economic discipline has its mirror image in the popularity of GDP as the measure of economic success of a nation. While the pioneer of national accounting (i.e., GDP), Simon Kusnetz, explicitly said that GDP should not be used as a measure of welfare, and few economists would explicitly advocate such use, it is also true that economists as a group have done precious little to counter the popular opinion that growth, in the sense of maximization of GDP, should be the main goal of economic policy.
GDP is the money value of final goods and services that an economy produces in a quarter or a year (i.e., not including those goods and services used as inputs in production of other goods and services). This definition makes it … a reasonable yardstick of how much money moved around in a quarter or a year, and therefore captures to some extent how much economic activity in money terms there was in that period. It is a poor measure of actual activity in absolute terms due to using money rather than physically measuring human activity or indicators of human activity (e.g., how many tons of material were moving around in a year, or how many bits of information were exchanged in a year). Some activity that commands a large premium in money terms for institutional reasons, like investment banking, even if it is only one powerful person doing a moderate amount of work, will count the same as activities of hundreds of factory workers and much more than the activity of millions of housewives. Societal changes like providing more institutional childcare or reigning in the market power of investment banks can make a huge difference in terms of measured GDP, without significantly changing the actual activities performed. Because of this reliance on using money valuations, GDP has severe issues with accurately measuring technological progress. (Häring et. al. 2012, 28-29)
This method of measuring economic activity has two things going for it. It makes the mathematics a lot easier than measuring in a sensible way. And it conforms with the implicit assumptions if mainstream economics that an extra dollar is worth the same to a poor person than it is to a rich person, just as it makes no differentiation between types of activity, for instance whether they are good (i.e., charitable work) or bad (i.e. criminal activity). If a hedge fund manager makes five billion dollars in a good year, as John Paulson reportedly did in 2010 (Burton and Kishan 2011), this is must as good in GDP terms as 13.7 million people living on a dollar a day doubling their incomes. (Häring et. al. 2012, 29)
Policies that treat human beings as social creatures and try to reach the best results in the most important dimensions of human goals cannot flag their success with equally prominent and simple statistical measures like a single number where higher is “better.” The rich and wealthy benefit most from this way of measuring the economic success of a nation, since it de-emphasizes the gains of the mass low-income people relative to those of a minority if rich people. As far as nations are concerned, it benefits nations that champion the policies favored by this approach, with the US being foremost among these. (Häring, Norbert and Douglas Nial. Economists and the Powerful [Convenient Theories, Distorted Facts, Ample Rewards]. New York: Anthem Press; 2012; pp. 28-29.)
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LET’S STOP PRETENDING UNEMPLOYMENT IS VOLUNTARY
Unless you have a PhD in economics, you probably think it uncontroversial to argue that we should be concerned about the unemployment rate. Those of you who lost a job, or who have struggled to find a job on leaving school, college, or a university, are well aware that unemployment is a painful and dehumanizing experience. You may be surprised to learn that, for the past thirty-five years, the models used by academic economists and central bankers to understand how the economy works have not included unemployment as a separate category. In almost every macroeconomic seminar I attended, from 1980 through 2007, it was accepted that all unemployment is voluntary. (Farmer 2017, 47)
In 1960, almost all macroeconomists talked about involuntary unemployment and they assumed, following Keynes, the quantity of labor demanded is not equal to the quantity of labor supplied. That view of economics was turned on its head, almost single-handedly, by Robert Lucas. Lucas persuaded macroeconomists that it makes no sense to talk about disequilibrium in any market and he initiated a revolution in macroeconomics that reformulated the discipline using pre-Keynesian classical assumptions. (Farmer 2017, 47)
The idea that all unemployment is voluntary is called the equilibrium approach to labor markets. Lucas wrote his first article on this idea in 1969 in a coauthored paper with Leonard Rapping. His ideas received a big boost during the 1980s when Finn Kydland, Edward C. Prescott, Charles Long, and Charles Plosser persuaded macroeconomists to use a mathematical approach, called the Ramsey growth model, as a new paradigm for business cycle theory. The theory of real business cycles, or RBCs, was born. According to this theory, we should think about consumption, investment, and employment “as if” they were the optimal choices of a single representative agent with superhuman perception of the probabilities of future events. (Farmer 2017, 47-48)
THE SYSTEM OF HEREDITY AS A CONTROL SYSTEM— Nelson R. Cabej (2004, 11) Neural Control of Development: The Epigenetic Theory of Heredity
In a world dominated by thermodynamical forces of disorder and disintegration, all living systems, sooner or later, fall in disarray and succumb to those forces. However, living systems on Earth have survived and evolved for ~3 billion years. They succeeded in surviving because a. during their lifetime they are able to maintain the normal structure by compensating for the lost or disintegrated elements of that structure, and b. they produce offspring. The ability to maintain the normal structure, despite its continual erosion, indicates that living systems have information for their normal structure, can detect deviations from the “normalcy” and restore the normal structure. This implies the presence and functioning of a control system in living organisms. In unicellulars the control system, represented by the genome, the apparatus for gene expression and cell metabolism, functions as a system of heredity during reproduction. Homeostasis and other facts on the development of some organs and phenotypic characters in metazoans prove that a hierarchical control system, involving the CNS [Central Nervous System] and the neuroendocrine system, is also operational in this group. It is hypothesized that, in analogy with unicellulars, the control system in metazoans, in the process of their reproduction, serves as an epigenetic system of heredity.
THE EPIGENETICS OF EVOLUTIONARY CHANGE— Nelson R. Cabej (2004, 201) Neural Control of Development: The Epigenetic Theory of Heredity
Under the influence of external/internal stimuli, the CNS may induce adaptive changes in morphological and life history characters without any changes in genes. Commonly, these changes are not heritable, i.e. they do not reappear in the offspring if the offspring is not exposed to the same stimuli. This is the case for the overwhelming majority of described examples of predatory-induced defenses, polyphenisms, and adaptive camouflage. But reproducible cases of transgenerational changes, without changes in genes, changes that are transmitted to the offspring for one or more generations, occur and are described. All the cases of non-genetic, inherited changes are determined by underlying neural mechanisms. Such changes may represent the “primed”, ready-made material of evolution. The evidence on the neurally induced transgenerational nongenetic changes cannot be overestimated in respect to possible evolutionary implications of the epigentic system of heredity. (Cabej 2004: 201)
Indeed, epigenetic modifications of phenotypic expression are sometimes considered to be “Lamarckian” because they can be transmitted to subsequent generations after being acquired. Not surprisingly, then, it has taken decades for these molecular effects to be accepted as a part of mainstream genetics. Contemporary awareness of molecular epigenetics has expanded the neo-Darwinian view of DNA sequence as the fundamental mode of inherited developmental information (Jablonka and Lamb 2002; Mattick 2012), placing even the initial phase of gene expression squarely in a dynamic cellular, organismic, and environmental context. (Sultan 2015, 11)— Sonia E. Sultan (2015) Organism & Environment: Ecological Development, Niche Construction, and Adaptation
At the mechanistic level, epigenetic modification shape gene expression by altering protein-gene interactions that determine the accessibility of DNA to the biochemical machinery of gene transcription. (….) Epigenetic mechanisms may also be a heretofore unrecognized source of selectively important phenotypic variation in natural populations.
It has become clear that heredity is mediated at the molecular level not purely by discrete, stably transmitted DNA sequence variants but also by multiple information-altering mechanisms that lend the process an unlooked-for flexibility. Qualitatively new modes of cross-generational gene regulation are continuing to be found, including several that show gene silencing and other epigenetic roles for noncoding RNA (Bernstein and Allis 2005; Mattick and Mehler 2008: Lenhard et. al. 2012; Ha and Kim 2014). (Sultan 2015, 12)
Many genomic sequences that were previously considered “junk” are now known to code for small or “micro” RNAs (and possibly long RNAs as well) that play a role, for instance by altering enzymatic access to the chromatin by binding to DNA (Koziol and Rinn 2010). … Interestingly, noncoding RNAs may carry environmentally induced effects on the phenotype form one generation to the next, including the neurobehavioral effects of social environment. In one recent study, traumatic, unpredictable, separation of newborn mice from their mothers altered several aspects of microRNA activity in the pups, including their hippocampi and other brain structures involved in stress responses. These epigenetic changes were associated with different behavioral responses to aversive conditions such as brightly illuminated maze compartments. When sperm RNA from traumatized males was injected into fertilized wild-type egg cells, these phenotypic effects were reproduced in the F2 generation; this result indicates that RNA can contribute to the transmission of stress-induced traits in mammals (Gapp et. al. 2014) (Sultan 2015, 12-13)
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A general character of genomic programs for development is that they progressively regulate their own readout, in contrast, for example, to the way architects’ programs (blueprints) are used in constructing buildings. All of the structural characters of an edifice, from its overall form to local aspects such as placement of wiring and windows, are prespecified in an architectural blueprint. At first glance the blueprints for a complex building might seem to provide a good metaphoric image for the developmental regulatory program that is encoded in the DNA. Just as in considering organismal diversity, it can be said that all the specificity is in the blueprints: A railway station and a cathedral can be built of the same stone, and what makes the difference in form is the architectural plan. Furthermore, in bilaterian development, as in an architectural blueprint, the outcome is hardwired, as each kind of organism generates only its own exactly predictable, species-specific body plan. But the metaphor is basically misleading, in the way the regulatory program is used in development, compared to how the blueprint is used in construction. In development it is as if the wall, once erected, must turn around and talk to the ceiling in order to place the windows in the right positions, and the ceiling must use the joint with the wall to decide where its wires will go, etc. The acts of development cannot all be prespecified at once, because animals are multicellular, and different cells do different things with the same encoded program, that is, the DNA regulatory genome. In development, it is only the potentialities for cis-regulatory information processing that are hardwired in the DNA sequence. These are utilized, conditionally, to respond in different ways to the diverse regulatory states encountered (in our metaphor that is actually the role of the human contractor, who uses something outside of the blueprint, his brain, to select the relevant subprogram at each step). The key, very unusual feature of the genomic regulatory program for development is that the inputs it specifies in the cis-regulatory sequences of its own regulatory and signaling genes suffice to determine the creation of new regulatory states. Throughout, the process of development is animated by internally generated inputs. “Internal” here means not only nonenvironmental — i.e., from within the animal rather than external to it but also, that the input must operate in the intranuclear compartments as a component of regulatory state, or else it will be irrelevant to the process of development. (Davidson 2006: 16-17)
(….) The link between the informational transactions that underlie development and the observed phenomena of development is “specification.” Developmental specification is defined phenomenologically as the process by which cells acquire the identities or fates that they and their progeny will adopt. But in terms of mechanism, specification is neither more nor less than that which results in the institution of new transcriptional regulatory states. Thereby specification results from differential expression of genes, the readout of particular genetic subprograms. For specification to occur, genes have to make decisions, depending on the new inputs they receive, and this brings us back to the information processing capacities of the cis-regulatory modules of the gene regulatory networks that make regulatory state. The point cannot be overemphasized that were it not for the ability of cis-regulatory elements to integrate spatial signaling inputs together with multiple inputs of intracellular origin, then specification, and thus development, could not occur. (Davidson 2006: 17)
Darwin has often been depicted as a radical selectionist at heart who invoked other mechanisms only in retreat, and only as a result of his age’s own lamented ignorance about the mechanisms of heredity. This view is false. Although Darwin regarded selection as the most important of evolutionary mechanisms (as do we), no argument from opponents angered him more than the common attempt to caricature and trivialize his theory by stating that it relied exclusively upon natural selection. In the last edition of the Origin, he wrote (1872, p. 395):— Gould, Stephen J., & Lewontin, Richard C. (1979) The Spandrels of San Marco and the Panglossian Paradigm: A Critique of the Adaptationist Programme. PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON, SERIES B, VOL. 205, NO. 1161, PP. 581-598. [ See: Just So Stories and Hardened Adaptationism and Natural Selection as a Creative Force and The Evolution of the Genome ]
As my conclusions have lately been much misrepresented, and it has been stated that I attribute the modification of species exclusively to natural selection, I may be permitted to remark that in the first edition of this work, and subsequently, I placed in a most conspicuous position—namely at the close of the introduction—the following words: “I am convinced that natural selection has been the main, but not the exclusive means of modification.” This has been of no avail. Great is the power of steady misinterpretation.
Charles Darwin, Origin of Species (1872, p. 395)
This is the age of the evolution of Evolution. All thoughts that the Evolutionist works with, all theories and generalizations, have themselves evolved and are now being evolved. Even were his theory perfected, its first lesson would be that it was itself but a phase of the Evolution of other opinion, no more fixed than a species, no more final than the theory which it displaced.— Henry Drummond, 1883
Charles Darwin described The Origin of Species as “one long argument” for evolution by natural selection. Subsequently Ernst Mayr applied the expression to the continuing debate over Darwin’s ideas. My explanation of why the debate lingers is that although Darwin was right about the reality of evolution, his causal theory was fundamentally wrong, and its errors have been compounded by neo-Darwinism. In 1985 my book Evolutionary Theory: The Unfinished Synthesis was published. In it I discussed Darwinian problems that have never been solved, and the difficulties suffered historically by holistic approaches to evolutionary theory. The most important of these holistic treatments was “emergent evolution,” which enjoyed a brief moment of popularity about 80 years ago before being eclipsed when natural selection was mathematically formalized by theoretical population geneticists. I saw that the concept of biological emergence could provide a matrix for a reconstructed evolutionary theory that might displace selectionism. At that time, I naively thought that there was a momentum in favor of such a revision, and that there were enough open-minded, structuralistic evolutionists to displace the selectionist paradigm within a decade or so. Faint hope! (Robert G. B. Reid. Biological Emergences: Evolution by Natural Experiment (Vienna Series in Theoretical Biology) (Kindle Locations 31-37). Kindle Edition.)
Instead, the conventional “Modern Synthesis” produced extremer forms of selectionism. Although some theoreticians were dealing effectively with parts of the problem, I decided I should try again, from a more general biological perspective. This book is the result. (Reid 2007, Preface)
The main thrust of the book is an exploration of evolutionary innovation, after a critique of selectionism as a mechanistic explanation of evolution. Yet it is impossible to ignore the fact that the major periods of biological history were dominated by dynamic equilibria where selection theory does apply. But emergentism and selectionism cannot be synthesized within an evolutionary theory. A “biological synthesis” is necessary to contain the history of life. I hope that selectionists who feel that I have defiled their discipline might find some comfort in knowing that their calculations and predictions are relevant for most of the 3.5 billion years that living organisms have inhabited the Earth, and that they forgive me for arguing that those calculations and predictions have little to do with evolution. (Reid 2007, Preface)
Evolution is about change, especially complexifying change, not stasis. There are ways in which novel organisms can emerge with properties that are not only self-sufficient but more than enough to ensure their status as the founders of kingdoms, phyla, or orders. And they have enough generative potential to allow them to diversify into a multiplicity of new families, genera, and species. Some of these innovations are all-or-none saltations. Some of them emerge at thresholds in lines of gradual and continuous evolutionary change. Some of them are largely autonomous, coming from within the organism; some are largely imposed by the environment. Their adaptiveness comes with their generation, and their adaptability may guarantee success regardless of circumstances. Thus, the filtering, sorting, or eliminating functions of natural selection are theoretically redundant. (Reid 2007, Preface)
Therefore, evolutionary theory should focus on the natural, experimental generation of evolutionary changes, and should ask how they lead to greater complexity of living organisms. Such progressive innovations are often sudden, and have new properties arising from new internal and external relationships. They are emergent. In this book I place such evolutionary changes in causal arenas that I liken to a three-ring circus. For the sake of bringing order to many causes, I deal with the rings one at a time, while noting that the performances in each ring interact with each other in crucial ways. One ring contains symbioses and other kinds of biological association. In another, physiology and behavior perform. The third ring contains of developmental or epigenetic evolution. (Reid 2007, Preface)
After exploring the generative causes of evolution, I devote several chapters to subtheories that might arise from them, and consider how they might be integrated into a thesis of emergent evolution. In the last chapter I propose a biological synthesis. (Reid 2007, Preface)
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Introduction — Re-Invention of Natural Selection
I regard it as unfortunate that the theory of natural selection was first developed as an explanation for evolutionary change. It is much more important as an explanation for the maintenance of adaptation.
— George Williams, 1966
Natural selection cannot explain the origin of new variants and adaptations, only their spread.
— John Endler, 1986
We could, if we wished, simply replace the term natural selection with dynamic stabilization….
— Brian Goodwin, 1994
Nobody is going to re-invent natural selection….
— Nigel Hawkes, 1997
Ever since Charles Darwin published The Origin of Species, it has been widely believed that natural selection is the primary cause of evolution. However, while George Williams and John Endler take the trouble to distinguish between the causes of variation and what natural selection does with them; the latter is what matters to them. In contrast, Brian Goodwin does not regard natural selection as a major evolutionary force, but as a process that results in stable organisms, populations, and ecosystems. He would prefer to understand how evolutionary novelties are generated, a question that frustrated Darwin for all of his career. (Reid 2007)
During the twentieth century, Darwin’s followers eventually learned how chromosomal recombination and gene mutation could provide variation as fuel for natural selection. They also re-invented Darwinian evolutionary theory as neo-Darwinism by formalizing natural selection mathematically. Then they redefined it as differential survival and reproduction, which entrenched it as the universal cause of evolution. Nigel Hawkes’s remark that natural selection cannot be re-invented demonstrates its continued perception as an incorruptible principle. But is it even a minor cause of evolution? (Reid 2007)
Natural selection supposedly builds order from purely random accidents of nature by preserving the fit and discarding the unfit. On the face of it, that makes more than enough sense to justify its importance. Additionally, it avoids any suggestion that a supernatural creative hand has ever been at work. But it need not be the only mechanistic option. And the current concept of natural selection, which already has a history of re-invention, is not immune to further change. Indeed, if its present interpretation as the fundamental mechanism of evolution were successfully challenged, some of the controversies now swirling around the modern paradigm might be resolved. (Reid 2007)
A Paradigm in Crisis?
Just what is the evolutionary paradigm that might be in crisis? It is sometimes called “the Modern Synthesis.” Fundamentally it comes down to a body of knowledge, interpretation, supposition, and extrapolation, integrated with the belief that natural selection is the all-sufficient cause of evolution—if it is assumed that variation is caused by gene mutations. The paradigm has built a strong relationship between ecology and evolution, and has stimulated a huge amount of research into population biology. It has also been the perennial survivor of crises that have ebbed and flowed in the tide of evolutionary ideas. Yet signs of discord are visible in the strong polarization of those who see the whole organism as a necessary component of evolution and those who want to reduce all of biology to the genes. Since neo-Darwinists are also hypersensitive to creationism, they treat any criticism of the current paradigm as a breach of the scientific worldview that will admit the fundamentalist hordes. Consequently, questions about how selection theory can claim to be the all-sufficient explanation of evolution go unanswered or ignored. Could most gene mutations be neutral, essentially invisible to natural selection, their distribution simply adrift? Did evolution follow a pattern of punctuated equilibrium, with sudden changes separated by long periods of stasis? Were all evolutionary innovations gene-determined? Are they all adaptive? Is complexity built by the accumulation of minor, selectively advantageous mutations? Are variations completely random, or can they be directed in some way? Is the generation of novelty not more important than its subsequent selection? (Reid 2007)
Long before Darwin, hunters, farmers, and naturalists were familiar with the process that he came to call “natural selection.” And they had not always associated it with evolution. It is recognized in the Bible, a Special Creation text. Lamarck had thought that evolution resulted from a universal progressive force of nature, not from natural selection. Organisms responded to adaptational needs demanded by their environments. The concept of adaptation led Lamarck’s rival, Georges Cuvier, to argue the opposite. If existing organisms were already perfectly adapted, change would be detrimental, and evolution impossible. Nevertheless, Cuvier knew that biogeography and the fossil record had been radically altered by natural catastrophes. These Darwin treated as minor aberrations during the long history of Earth. He wanted biological and geographical change to be gradual, so that natural selection would have time to make appropriate improvements. The process of re-inventing the events themselves to fit the putative mechanism of change was now under way. (Reid 2007)
Gradualism had already been brought to the fore when geologists realized that what was first interpreted as the effects of the sudden Biblical flood was instead the result of prolonged glaciation. Therefore, Darwin readily fell in with Charles Lyell’s belief that geological change had been uniformly slow. Now, more than a century later, catastrophism has been resurrected by confirmation of the K-T (Cretaceous-Tertiary) bolide impact that ended the Cretaceous and the dinosaurs. Such disasters are also linked to such putative events as the Cambrian “Big Bang of Biology,” when all of the major animal phyla seem to have appeared almost simultaneously.’ The luck of the draw has returned to evolutionary theory. Being in the right place at the right time during a cataclysm might have been the most important condition of survival and subsequent evolution. (Reid 2007)
Beyond the fringe of Darwinism, there are heretics who believe the neo-Lamarckist tenet that the environment directly shapes the organism in a way that can be passed on from one generation to the next. They argue that changes imposed by the environment, and by the behavior of the organism, are causally prior to natural selection. Nor is neo-Lamarckism the only alternative. Some evolutionary biologists, for example, think that the establishment of unique symbioses between different organisms constituted major evolutionary novelties. Developmental evolutionists are reviewing the concept that evolution was not gradual but saltatory (i.e., advancing in leaps to greater complexity). However, while they emphasize the generation of evolutionary novelty, they accommodate natural selection as the complementary and essential causal mechanism. (Reid 2007)
Notes on isms
Before proceeding further, I want to explain how I arbitrarily, but I hope consistently, use the names that refer to evolutionary movements and their originators. “Darwinian” and “Lamarckian” refer to any idea or interpretation that Darwin and Lamarck originated or strongly adhered to. Darwinism is the paradigm that rose from Darwinian concepts, and Lamarckism is the movement that followed Lamarck. They therefore include ideas that Darwin and Lamarck may not have thought of nor emphasized, but which were inspired by them and consistent with their thinking. Lamarck published La philosophie zoologique in 1809, and Lamarckism lasted for about 80 years until neo-Lamarckism developed. Darwinism occupied the time frame between the publication of The Origin of Species (1859) and the development of neo-Darwinism. The latter came in two waves. The first was led by August Weismann, who was out to purify evolutionary theory of Darwinian vacillation. The second wave, which arose in theoretical population genetics in the 1920s, quantified and redefined the basic tenets of Darwinism. Selectionism is the belief that natural selection is the primary cause of evolution. Its influence permeates the Modern Synthesis, which was originally intended to bring together all aspects of biology that bear upon evolution by natural selection. Niles Eldredge (1995) uses the expression “ultra-Darwinian” to signify an extremist position that makes natural selection an active causal evolutionary force. For grammatical consistency, I prefer “ultra-Darwinist,” which was used in the same sense by Pierre-Paul Grasse in 1973. (Reid 2007)
The Need for a More Comprehensive Theory
I have already hinted that the selectionist paradigm is either insufficient to explain evolution or simply dead wrong. Obviously, I want to find something better. Neo-Darwinists themselves concede that while directional selection can cause adaptational change, most natural selection is not innovative. Instead, it establishes equilibrium by removing extreme forms and preserving the status quo. John Endler, the neo-Darwinist quoted in one of this chapter’s epigraphs, is in good company when he says that novelty has to appear before natural selection can operate on it. But he is silent on how novelty comes into being, and how it affects the internal organization of the organism—questions much closer to the fundamental process of evolution. He is not being evasive; the issue is just irrelevant to the neo-Darwinist thesis. (Reid 2007)
Darwin knew that nature had to produce variations before natural selection could act, so he eventually co-opted Lamarckian mechanisms to make his theory more comprehensive. The problem had been caught by other evolutionists almost as soon as The Origin of Species was first published. Sir Charles Lyell saw it clearly in 1860, before he even became an evolutionist:
If we take the three attributes of the deity of the Hindoo Triad, the Creator, Brahmah, the preserver or sustainer, Vishnu, & the destroyer, Siva, Natural Selection will be a combination of the two last but without the first, or the creative power, we cannot conceive the others having any function.
Consider also the titles of two books: St. George Jackson Mivart’s On the Genesis of Species (1872) and Edward Cope’s Origin of the Fittest (1887). Their play on Darwin’s title emphasized the need for a complementary theory of how new biological phenomena came into being. Soon, William Bateson’s Materials for the Study of Variation Treated with Especial Regard to Discontinuity in the Origin of Species (1894) was to distinguish between the emergent origin of novel variations and the action of natural selection. (Reid 2007)
The present work resumes the perennial quest for explanations of evolutionary genesis and will demonstrate that the stock answer—point mutations and recombinations of the genes, acted upon by natural selection—does not suffice. There are many circumstances under which novelties emerge, and I allocate them to arenas of evolutionary causation that include association (symbiotic, cellular, sexual, and social), functional biology (physiology and behavior), and development and epigenetics. Think of them as three linked circus rings of evolutionary performance, under the “big top” of the environment. Natural selection is the conservative ringmaster who ensures that tried-and-true traditional acts come on time and again. It is the underlying syndrome that imposes dynamic stability—its hypostasis (a word that has the additional and appropriate meaning of “significant constancy”). (Reid 2007)
Selection as Hypostasis
The stasis that natural selection enforces is not unchanging inertia. Rather, it is a state of adaptational and neutral flux that involves alterations in the numerical proportions of particular alleles and types of organism, and even minor extinctions. It does not produce major progressive changes in organismal complexity. Instead, it tends to lead to adaptational specialization. Natural selection may not only thwart progress toward greater complexity, it may result in what Darwin called retrogression, whereby complex and adaptable organisms revert to simplified conditions of specialization. This is common among parasites, but not unique to them. For example, our need for ascorbic acid-vitamin C-results from the regression of a synthesis pathway that was functional in our mammalian ancestors. (Reid 2007)
On the positive side, it may be argued that dynamic stability, at any level of organization, ensures that the foundations from which novelties emerge are solid enough to support them on the rare occasions when they escape its hypostasis. A world devoid of the agents of natural selection might be populated with kludges-gimcrack organisms of the kind that might have been designed by Heath Robinson, Rube Goldberg, or Tim Burton. The enigmatic “bizarre and dream-like” Hallucigenia of the Burgess Shale springs to mind.’ Even so, if physical and embryonic factors constrain some of the extremest forms before they mature and reproduce, the benefits of natural selection are redundant. Novelty that is first and foremost integrative (i.e., allows the organism to operate better as a whole) has a quality that is resistant to the slings and arrows of selective fortune. (Reid 2007)
Natural selection has to do with relative differences in survival and reproduction and the numerical distribution of existent variations that have already evolved. In this form it requires no serious re-invention. But selectionism goes on to infer that natural selection creates complex novelty by saving adaptive features that can be further built upon. Such qualities need no saving by metaphorical forces. Having the fundamental property of persistence that characterizes life, they can look after themselves. As Ludwig von Bertalanffy remarked in 1967, “favored survival of `better’ precursors of life presupposes self-maintaining, complex, open systems which may compete; therefore natural selection cannot account for the origin of those symptoms.” These qualities were in the nature of the organisms that first emerged from non-living origins, and they are prior to any action of natural selection. Compared to them, ecological competitiveness is a trivial consequence. (Reid 2007)
But to many neo-Darwinists the only “real” evolution is just that: adaptation—the selection of random genetic changes that better fit the present environment. Adaptation is appealingly simple, and many good little examples crop up all the time. However, adaptation only reinforces the prevailing circumstances, and represents but a fragment of the big picture of evolution. Too often, genetically fixed adaptation is confused with adaptability—the self-modification of an individual organism that allows responsiveness to internal and external change. The logical burden of selectionism is compounded by the universally popular metaphor of selection pressure, which under some conditions of existence is supposed to force appropriate organismic responses to pop out spontaneously. How can a metaphor, however heuristic, be a biological cause? As a metaphor, it is at best is an inductive guide that must be used with caution. (Reid 2007)
Even although metaphors cannot be causes, their persuasive powers have given natural selection and selection pressure perennial dominance of evolutionary theory. It is hard enough to sideline them, so as to get to generative causes, far less to convince anyone that they are obstructive. Darwin went so far as to make this admission:
In the literal sense of the word, no doubt, natural selection is a false term…. It has been said that I speak of natural selection as an active power or Deity…. Everyone knows what is meant and is implied by such metaphorical expressions; and they are almost necessary for brevity…. With a little familiarity such superficial objections will be forgotten. [Darwin 1872, p. 60.]
Alas, in every subsequent generation of evolutionists, familiarity has bred contempt as well as forgetfulness for such “superficial” objections. (Reid 2007)
Are All Changes Adaptive?
Here is one of my not-so-superficial objections. The persuasiveness of the selection metaphor gets extra clout from its link with the vague but pervasive concept of adaptiveness, which can supposedly be both created and preserved by natural selection. For example, a book review insists that a particular piece of pedagogy be “required reading for non-Darwinist `evolutionists’ who are trying to make sense of the world without the relentless imperatives of natural selection and the adaptive trends it produces.” (Reid 2007)
Adaptiveness, as a quality of life that is “useful,” or competitively advantageous, can always be applied in ways that seem to make sense. Even where adaptiveness seems absent, there is confidence that adequate research will discover it. If equated with integrativeness, adaptiveness is even a necessity of existence. The other day, one of my students said to me: “If it exists, it must have been selected.” This has a pleasing parsimony and finality, just like “If it exists it must have been created.” But it infers that anything that exists must not only be adaptive but also must owe its existence to natural selection. I responded: “It doesn’t follow that selection caused its existence, and it might be truer to say ‘to be selected it must first exist.”‘ A more complete answer would have addressed the meaning of existence, but I avoid ontology during my physiology course office hours. (Reid 2007)
“Adaptive,” unassuming and uncontroversial as it seems, has become a “power word” that resists analysis while enforcing acceptance. Some selectionists compound their logical burden by defining adaptiveness in terms of allelic fitness. But there are sexually attractive features that expose their possessors to predation, and there are “Trojan genes” that increase reproductive success but reduce physiological adaptability. They may be the fittest in terms of their temporarily dominant numbers, but detrimental in terms of ultimate persistence. (Reid 2007)
It is more logical to start with the qualities of evolutionary changes. They may be detrimental or neutral. They may be generally advantageous (because they confer adaptability), or they may be locally advantageous, depending on ecological circumstances. Natural selection is a consequence of advantageous or “adaptive” qualities. Therefore, examination of the origin and nature of adaptive novelty comes closer to the fundamental evolutionary problem. It is, however, legitimate to add that once the novel adaptive feature comes into being, any variant that is more advantageous than other variants survives differentially—if under competition. Most biologists are Darwinists to that extent, but evolutionary novelty is still missing from the causal equation. Thus, with the reservation that some neutral or redundant qualities often persist in Darwin’s “struggle for existence,” selection theory seems to offer a reasonable way to look at what occurs after novelty has been generated—that is, after evolution has happened. (Reid 2007)
“Oh,” cry my student inquisitors, “but the novelty to which you refer would be meaningless if it were not for correlated and necessary novelties that natural selection had already preserved and maintained.” So again I reiterate first principles: Self-sustaining integrity, an ability to reproduce biologically, and hence evolvability were inherent qualities of the first living organisms, and were prior to differential survival and reproduction. They were not, even by the lights of extreme neo-Darwinists, created by natural selection. And their persistence is fundamental to their nature. To call such features adaptive, for the purpose of implying they were caused by natural selection, is sophistry as well as circumlocution. Sadly, many biologists find it persuasive. Ludwig von Bertalanffy (1952) lamented:
Like a Tibetan prayer wheel, Selection Theory murmurs untiringly: ‘everything is useful,’ but as to what actually happened and which lines evolution has actually followed, selection theory says nothing, for the evolution is the product of ‘chance,’ and therein obeys no ‘law. [Bertalanffy 1952, p. 92.]
In The Variation of Animals in Nature (1936), G. C. Robson and O. W. Richards examined all the major known examples of evolution by natural selection, concluding that none were sufficient to account for any significant taxonomic characters. Despite the subsequent political success of ecological genetics, some adherents to the Modern Synthesis are still puzzled by the fact that the defining characteristics of higher taxa seem to be adaptively neutral. For example, adult echinoderms such as sea urchins are radially symmetrical, i.e., they are round-bodied like sea anemones and jellyfish, and lack a head that might point them in a particular direction. This shape would seem to be less adaptive than the bilateral symmetry of most active marine animals, which are elongated and have heads at the front that seem to know where they want to go. Another puzzler: How is the six-leg body plan of insects, which existed before the acquisition of wings, more or less adaptive than that of eight-legged spiders or ten-legged legged lobsters? The distinguished neo-Darwinists Dobzhansky, Ayala, Stebbins, and Valentine (1977) write:
This view is a radical deviation from the theory that evolutionary changes are governed by natural selection. What is involved here is nothing less than one of the major unresolved problems of evolutionary biology. 
The problem exists only for selectionists, and so they happily settle for the first plausible selection pressure that occurs to them. But it could very well be that insect and echinoderm and jellyfish body plans were simply novel complexities that were consistent with organismal integrity—they worked. There is no logical need for an arbiter to judge them adaptive after the fact.
Some innovations result from coincidental interactions between formerly independent systems. Natural selection can take no credit for their origin, their co-existence, or their interaction. And some emergent novelties often involve redundant features that persisted despite the culling hand of nature. Indeed, life depends on redundancy to make evolutionary experiments. Initially selectionism strenuously denies the existence of such events. When faced with the inevitable, it downplays their importance in favor of selective adjustments necessary to make them more viable. Behavior is yet another function that emphasizes the importance of the whole organism, in contrast to whole populations. Consistent changes in behavior alter the impact of the environment on the organism, and affect physiology and development. In other words, the actions of plants or animals determine what are useful adaptations and what are not. This cannot even be conceived from the abstract population gene pools that neo-Darwinists emphasize.
If some evolutionists find it easier to understand the fate of evolutionary novelty through the circumlocution of metaphorical forces, so be it. But when they invent such creative forces to explain the origin of evolutionary change, they do no better than Special Creationists or the proponents of Intelligent Design. Thus, the latter find selectionists an easy target. Neo-Darwinist explanations, being predictive in demographic terms, are certainly “more scientific” than those of the creationists. But if those explanations are irrelevant to the fundamentals of evolution, their scientific predictiveness is of no account.
What we really need to discover is how novelties are generated, how they integrate with what already exists, and how new, more complex whole organisms can be greater than the sums of their parts. Evolutionists who might agree that these are desirable goals are only hindered by cant about the “relentless imperatives of natural selection and the adaptive trends it produces.”
Reduction is a good, logical tool for solving organismal problems by going down to their molecular structure, or to physical properties. But reductionism is a philosophical stance that embraces the belief that physical or chemical explanations are somehow superior to biological ones. Molecular biologists are inclined to reduce the complexity of life to its simplest structures, and there abandon the quest. “Selfish genes” in their “gene pools” are taken to be more important than organisms. To compound the confusion, higher emergent functions such as intelligence and conscious altruism are simplistically defined in such a way as to make them apply to the lower levels. This is reminiscent of William Livant’s (1998) “cure for baldness”: You simply shrink the head to the degree necessary for the remaining hair to cover the entire pate—the brain has to be shrunk as well, of course. This “semantic reductionism” is rife in today’s ultra-Darwinism, a shrunken mindset that regards evolution as no more than the differential reproduction of genes.
Although reducing wholes to their parts can make them more understandable, fascination with the parts makes it too easy to forget that they are only subunits with no functional independence, whether in or out of the organism. It is their interactions with higher levels of organization that are important. Nevertheless, populations of individuals are commonly reduced to gene pools, meaning the totality of genes of the interbreeding organisms. Originating as a mathematical convenience, the gene pool acquired a life of its own, imbued with a higher reality than the organism. Because genes mutated to form different alleles that could be subjected to natural selection, it was the gene pool of the whole population that evolved. This argument was protected by polemic that decried any reference to the whole organism as essentialistic. Then came the notion that genes have a selfish nature. Even later, advances in molecular biology, and propaganda for the human genome project, have allowed the mistaken belief that there must be a gene for everything, and once the genes and their protein products have been identified that’s all we need to know. Instead, the completion of the genome project has clearly informed us that knowing the genes in their entirety tells us little about evolution. Yet biology still inhabits a genocentric universe, and most of its intellectual energy and material resources are sucked in by the black hole of reductionism at its center.
(….) Epigenetic Algorithms
Mechanical metaphors have appealed to many philosophers who sought materialist explanations of life. The definitive work on this subject is T. S. Hall’s Ideas of Life and Matter (1969). Descartes, though a dualist, thought of animal bodies as automata that obeyed mechanical rules. Julien de la Mettrie applied stricter mechanistic principles to humans in LʼHomme machine (1748). Clockwork and heat engine models were popular during the Industrial Revolution. Lamarck proposed hydraulic processes as causes of variation. In the late nineteenth century, the embryologists Wilhelm His and Wilhelm Roux theorized about developmental mechanics. However, as biochemical and then molecular biological information expanded, popular machine models were refuted, but it is not surprising that computers should have filled the gap. Algorithms that systematically provide instructions for a progressive sequence of events seem to be suitable analogues for epigenetic procedures.
A common error in applying this analogy is the belief that the genetic code, or at least the total complement of an organism’s DNA contains the program for its own differential expression. In the computer age it is easy to fall into that metaphysical trap. However, in the computer age we should also know that algorithms are the creations of programmers. As Charles Babbage (1838) and Robert Chambers (1844) tried to tell us, the analogy is more relevant to creationism than evolutionism. At the risk of offending the sophisticates who have indulged me so far, I want to state the problems in the most simple terms. To me, that is a major goal of theoretical biology, rather than the conversion of life to mathematics. (Robert G. B. Reid. Biological Emergences: Evolution by Natural Experiment (Vienna Series in Theoretical Biology) (p. 263). Kindle Edition.)
What is at the stake is the whole structure of a discipline. Can you imagine such a thing in geology or geophysics? It is something similar to replacing modern physics by another. Probably you cannot understand the real issue of economics.— Yoshinori Shiozawa, 2/5/2018, Personal Communication
Arguments do not always wear their true purpose on their face, nor are [we] required to take them at face value.— Martha Nussbaum (2008, 343-344) in Liberty of Conscience
Logic is a subtle science. It was discovered in Classical Greece, but it was not formalized in any other areas in the classical age. Mathematics began also in Classical Greece and developed in Alexandrian age, but it did not develop as logical science in other areas until the Greek influence arrives. A typical case is East Asia which includes China, Korea and Japan. After the 17th century in Japan, geometry became a kind of intellectual hobby and many posed problems asking others to solve them. We can find very complicated problems which comprise a dozen of circles but the notion of proof did not develop in Edo period (before 1867). (Of course, this is a very rough description.)— Shiozowa Yoshinori, Real World Economic Review (RWER), 7/19/2017
[All this history is simply a red herring, a distraction form his real purpose, which he hides.]
In my long life with various people, I came to understand that there are many people who never understand logic. Ernst Haeckel is famous by his recapitulation theory, i.e., “ontogeny recapitulates phylogeny.” But we may not be able to apply his thesis to human thinking. It may not be correct to assume that everybody arrives at the logical stage. Some people may stay at the pre-logical stage even if they become adult. Logic is a subtle science. It was discovered in Classical Greece, but it was not formalized in any other areas in the classical age. Mathematics began also in Classical Greece and developed in Alexandrian age, but it did not developed as logical science in other areas until the Greek influence arrives. A typical case is East Asia which includes China, Korea and Japan. After the 17th century in Japan, geometry became a kind of intellectual hobby and many posed problems asking others to solve them. We can find very complicated problems which comprise a dozen of circles but the notion of proof did not develop in Edo period (before 1867). (Of course, this is a very rough description.)
My personal experience taught me that it is often useless to argue with those people. Logical persuasion never works for them. My first experience was in my college student days. We talked about syllogism. I argued that syllogism is not based on experience and cited this case:
Pig is mortal.
Socrates is a pig.
Therefore, Socrates is mortal.
My colleague never understood that this is a correct syllogism. He insisted that this syllogism is wrong because the small premise is false.
Logic can be used to clarify as well as to be obfuscate; to make one’s meaning clear or to hide one’s true meaning; to illuminate truth or hide behind bullshit. Yoshinori’s purpose is to abuse logic to engage in ad hominem, a form of unethical word-play, the sole purpose of which is demean another person via arrogant intellectual intimidation by accusing them of being hopelessly pre-logical. Yoshinori is engaging in “world play” above, using a form of semantic negligence in that he could, if sincere and a descent human being, be explicit in the difference between sound and unsound logical arguments and the difference between valid syllogism, but unsound argument (i.e., the conclusion doesn’t necessarily follow from the false premises), and a valid syllogism with a sound argument (i.e., the conclusions follows necessarily from true premises). An argument that is valid is one where the premises — if true — necessarily lead to the conclusion. And argument that is sound is one where premises necessarily lead to the conclusion and the premises are actually true. Hence, an argument can be perfectly valid syllogism even with false premises, but an unsound argument in which the conclusion is true not by necessity, but by accident or manipulation meant to obscure truth and/or confuse or demean someone, which seems to be the purpose of Yoshinori’s argument above.
Bullshit is pretension or over-portentousness: discourse which may or may not be superficially complex but which over-intellectualises the straightforward, the obvious, sometimes even the trivial and banal. Bullshit includes evasion, elision, insincerity, procrastination and other forms of dissembling in discourse that fall short of lying, which is very common in, though hardly exclusive to, politics.— Gary Hardcastle, George Reisch. Bullshit and Philosophy: Guaranteed to Get Perfect Results Every Time (Popular Culture and Philosophy Book 24) (p. 199). Open Court. Kindle Edition.
Semantically negligent definitions are parasitical on this process [search for truth or clarity]: they foreclose argument about doubtful identities by disguising them as definitions. Hidden arguments are difficult to criticize—but also easy to ignore. Thus the semantically negligent definer may gain short-term rhetorical advantage by disguising his arguments as definitions, but risks the backfire effect, which is a direct consequence of his neglect of the full meaning of his redefined expression. For a definition to be semantically diligent any concealed arguments must be made explicit to all parties. Moreover, if the proposers hope for their definition to prevail, these arguments must be won.— Gary Hardcastle, George Reisch. Bullshit and Philosophy: Guaranteed to Get Perfect Results Every Time (Popular Culture and Philosophy Book 24) (p. 168). Open Court. Kindle Edition.
Yoshinori Shiozawa confuses sophistry with logic, equating a quest for deeper understanding with the manipulation of words for an untrue purpose merely to win an argument. He wraps insult in pseudo-history to sound erudite, as dishonest intellectuals like to do, but it is really nothing more than debased ad hominem. Shiozawa is playing a dishonest sematic word play game. The same can be said about Shiozawa’s disingenuous, manipulative, and false use of Ernst Haeckel’s biogenetic law, which he cites for rhetorical purposes even though it has long been disproven (Laubichler and Maienschein 2007: 2-3, From Embryology to Evo-Devo. Dibner Institute Studies in the History of Science & Technology Series. MIT Press.). He doesn’t even get his historical and scientific facts correct. This is not science, but scientism.
Yoshinori Shiozawa lacks the wisdom to understand that while logic is valid in the material world and mathematics is reliable when limited in its application to physical things, neither is to be regarded as wholly dependable or infallible when applied to life problems. Life embraces phenomena which are not wholly material and not all of life’s problems are mathematically tractable.
Arithmetic says that, if one man could shear a sheep in ten minutes, ten men could shear it in one minute. That is sound mathematics, but it is not true, for the ten men could not so do it; they would get in one another’s way so badly that the work would be greatly delayed. Mathematics asserts that, if one person stands for a certain unit of intellectual and moral value, ten persons would stand for ten times this value. But in dealing with human personality it would be nearer the truth to say that such a personality association is a sum equal to the square of the number of personalities concerned in the equation rather than the simple arithmetical sum. A social group of human beings in coordinated working harmony stands for a force far greater than the simple sum of its parts. Quantity may be identified as a fact, thus becoming a scientific uniformity. Quality, being a matter of mind interpretation, represents an estimate of values, and must, therefore, remain an experience of the individual. When science, philosophy, and religion become less dogmatic and more tolerant of criticism, philosophy will then begin to achieve unity in the intelligent comprehension of the universe.
Yoshinori Shiozawa is afflicted with mathematical pride and statistical egotism, not to mention spiritual blindness. He engages in ” trivial, and pointless forms of mathematization” (Roi 2017, 4) while pushing a utterly useless literature-only (Payson 2017) style of so-called “economics” on daily basis on Real World Economics Review blog. He is more like a used car salesman, hawking his lemons—his pseudo-scientific literature-only papers and books—pronouncing ex cathedra a New Central Dogma (which I’ll deal with more fully in another post).
Whiggish History qua Scientism
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
This is not the first time Shiozawa has engaged in such sophistry and sematic negligence, as his performance on the WEA Conference forum reveals:
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.— 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.
Your presupposition is that the application of the methods of natural science is the yardstick for social science. This is scientism.
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 (e.g., see Brush). Nussbaum correctly points out that 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.
Shiozawa’s ahistorical whig interpretation of history can be clearly seen in an exchange on RWER (it is assumed the exchange was deleted because of Shiozawa’s nasty ad hominem):
Do you [i.e., Ken Zimmerman] know that you are proving by yourself that your range of imagination is heavily biased…. If history of science (not the sociology of science; they are very different disciplines) focuses exclusively on the factors “from scientific training, to professionalism, to informal education, to friendships, to hunches, etc.”, you are excluding the most important entity or driver in a history of science. A science is a system of theories (including and concerning concepts, observations, measurement, experiences, data, etc.) that seeks coherence. The internal logic of the system is much more important than all other social factors in which you are interested. The latter are by-players and cannot and should not be a main player. Your history of science is really the tragedy (or rather comedy?) without the prince of Denmark…. [Y]ou are repeating this kind of misplaced arguments. You pretend to have studied history of sciences (it may be true), but you have studied it through the looking glass of sociology of science. In the history of science there are specialists who are called externalists. They often give a new fresh air to the history of science. So I do not deny that they have some roles in the history of science(s). In the history of economic thought there are also externalists. Philip Mirowski is an example. On the opposite extreme of externalists, we have internalists. My paper on An Origin of the Neoclassical Economics is written from the internalist point of view. In this case, I questioned why John Stuart Mill was guided by an internal logic of the problem he wanted to solve (probably despite of his wish) to open a way to the neoclassical economics. If sociology of science can be included among the history of science(s), it belongs to the strand of externalists. It cannot be the core of history of science(s), because it lacks understanding of the main motive of scientific development.— Yoshinori Shiozawa, RWER: Asad Zaman’s Radical paradigm shifts, 7/17/2017
Your views on the history and sociology of science are dated. In 1970, they would have been appropriate. But not today. Formally speaking the two are separate. Separate department offices, chair persons, class schedules. But in theory and practice the two work together closely today. You seem to believe that sciences are magical. That “systems of theories” can somehow take science and scientists out of human ways of life, human culture, and human societies. That’s not possible. So, the same factors that enter these enter science as well. To use the phrase favored by many sociologists of science, science is “constructed in interactions of humans with one another and with the non-human.” That includes the systems of theories you mention, as well as the methods, tools (language, including mathematics, cultural standards, etc.) that are the basis of scientific work. It also includes every variation of logic and formal analytic philosophy, from which notions of coherence and sense-making in science emerge. Your statement, “The internal logic of the system is much more important than all other social factors in which you are interested” was rejected nearly 50 years ago by first sociologists and then historians of science. To accept it would mean accepting that science is somehow “supernatural” – beyond the bounds of human experience. Neat analogy with Hamlet. But by making it you undermine your entire argument.— Ken Zimmerman’s reply to Shiozawa, RWER: Asad Zaman’s Radical paradigm shifts, 7/18/2017
The last major article on the externalism-internalism debate in historiography was in 1992 by Steven Shapin. It’s not so much as the debate was won as that sociologists and historians lost interest in it. It’s not resolvable. But since the 1980s in practice the externalist position dominates most work in the history and sociology of science. So, your paper, if written from the internalist perspective is unusual. For example, the only way we can assume that John Stuart Mill was “guided” by an internal logic is to assume that Mill never participated in human communities, never engaged with his fellow humans, or with the world around him. From going to the Pub, to dating, to attending college, etc. As to the main motive of scientific development, there isn’t one I’m or most historians/sociologists are able to identify. I’ve worked with or observed work by a few hundred physical scientists. Most have multiple reasons for pursuing and building science. Most do not agree on what those motivations are or should be. Not surprising.
Check out: Science in Action (1987), Bruno Latour; Laboratory Life (1979), Steven Woolgar and Bruno Latour.
Underlying the externalist-internalist rhetoric is the assumption that there are “factors extrinsic to the putative value-free application of the scientific method,” while “Economic and/or social factors influencing scientific inquiry are externalist.” The idea that there exists a domain of “scientific inquiry … free of values except for the search for truth (Hook, 2002; 3-7)” is a myth of scientism.
In the last quarter of the twentieth century discussions of the interplay of science and society have outgrown the crude dictums of historical materialism, as well as transcending the incoherent dichotomy of internalist and externalist intellectual histories. To cite just a sampling, the writings on the history of science of Brush (1978), Barnes and Shapin (1979), Mackenzie (1981), Freudenthal (1986), Elster (1975), Breger (1982) Sohn-Rethel (1978), Latour (1987), Pickering (1984), Collins (1985), Markus (1987), Forman (1971), and Porter (1981a, 1985, 1986) are evidence of a great flowering of efforts all concerned with a reconsideration of the interplay of science and social forces. [We can add Hook (2002) to this long list.]— Philip Mirowski (1989, 106-107) More Heat than Light: Economics as Social Physics, Physics as Nature’s Economics
Shiozawa’s use of externalist-internalist rhetoric is dated, anachronistic, ahistorical; he is foolishly blinded by his own hubris. He is espousing scientism, a pseudo-scientific belief about science that is blissfully ignorant of the real nature of science. Shiozawa is espousing a whig interpretation of history:
Sometimes people want to know the presently accepted “right answer” to a question before studying its history…. For the historian of science, this uncertainty about the correct answer does have one important advantage. It undermines the tendency to judge past theories as being right or wrong by modern standards. This tendency is the so-called “Whig interpretation of the history of science” that one usually finds in science textbooks and popular articles. The Whig approach is to start from the present theory, assuming it to be correct, and ask how we got there. For many scientists this is the only reason for studying history at all; Laplace remarked, “When we have at length ascertained the true cause of any phenomenon, it is an object of curiosity to look back, and see how near the hypothesis that have been framed to explain it approach towards the truth” (1966: vol. 4, 1015). Sometimes people want to know the presently accepted “right answer” to a question before studying its history….— Brush, Stephen G. (1996) Nebulous Earth: The Origin of the Solar System and the Core of the Earth from Laplace to Jeffreys. Vol. 1. Cambridge: Cambridge University Press.
But Whiggish history is not very satisfactory if it has to be rewritten every time the “correct answer” changes. Instead, we need to look at the [scientific theories] of earlier centuries in terms of the theories and evidence available at the time. Sometimes people want to know the presently accepted “right answer” to a question before studying its history.
Shiozawa, ignorant of his own pseudo-scientific interpretation of science, no doubt, would accuse Stephen G. Brush of being an externalist, despite the fact of his distinguished career as a scientists prior to turning to history. What does it say when scientists of a far greater caliber than Shiozawa categorically disagree with his whiggish interpretation of history?
A Case of Psychological Projection aka Pre-Logical Argumentum
What is at the stake is the whole structure of a discipline. Can you imagine such a thing in geology or geophysics? It is something similar to replacing modern physics by another. Probably you cannot understand the real issue of economics.— Yoshinori Shiozawa, 2/5/2018, Personal Communication
This blog is attracting all those who are emotionally frustrated in the actual economy and economics. This is a dangerous symptom.— Yoshinori Shiozawa, RWER, The Biggest Problem in Science, 7/31/2019
It appears that subtle science of logic escapes Yoshinori in his pre-logical fallacy above. Unfortunately for Yoshinori any clear thinking and reflective person understands perfectly well what Yoshinori is doing above; he is engaging in, to use his own rhetoric, pre-Freudian unconscious psychological projection of his own deepest illogical fears upon others and then couching such projections in pseudo-intellectual sophistry and nonsense (たわごと). Yoshinori is revealing he lacks self-awareness of his own state of mind and behavior, projecting onto others his own confused and flustered state of mind (慌てふためく), his own frustration and worry (はらはらする). Probably he cannot understand the real nature of what he is doing.
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)
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. 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)
 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.