Standard statistical measures of strength of association, although pioneered by Pearson deliberately to be acausal, nowadays are routinely used to measure causal efficacy. But their acausal origins have left them ill suited to this latter purpose. I distinguish between two different conceptions of causal efficacy, and argue that: 1) Both conceptions can be useful 2) The statistical measures only attempt to capture the first of them 3) They are not fully successful even at this 4) An alternative definition more squarely (...) based on causal thinking not only captures the second conception, it can also capture the first one better too. (shrink)

This is a critical notice of Evolution's Eye by Susan Oyama, focusing on developmental systems theory primarily in relation to the nature-nurture debates and the explanation of behaviour.

Biology above the level of the individual organism ? population ecology and genetics, community ecology, biogeography and evolution ? requires the study of intrinsically complex systems. But the dominant philosophies of western science have proven to be inadequate for the study of complexity:(1)The reductionist myth of simplicity leads its advocates to isolate parts as completely as possible and study these parts. It underestimates the importance of interactions in theory, and its recommendations for practice (in agricultural programs or conservation and environmental (...) protection) are typically thwarted by the power of indirect and unanticipated causes rather than by error in the detailed description of their own objects of study.(2)Reductionism ignores properties of complex wholes; the effects of these properties are therefore seen only as noise; this randomness is elevated into an ontological principle which leads to the blocking of investigation and the reification of statistics, so that data reduction and statistical prediction often pass for explanation.(3)The faith in the atomistic nature of the world makes the allocation of relative weights to separate causes the main object of science, and makes it more difficult to study the nature of interconnectedness. (shrink)

In reworking a variety of biological concepts, Developmental Systems Theory (DST) has made frequent use of parity of reasoning. We have done this to show, for instance, that factors that have similar sorts of impact on a developing organism tend nevertheless to be invested with quite different causal importance. We have made similar arguments about evolutionary processes. Together, these analyses have allowed DST not only to cut through some age-old muddles about the nature of development, but also to effect a (...) long-delayed reintegration of development into evolutionary theory. Our penchant for causal symmetry, however (or 'causal democracy', as it has recently been termed), has sometimes been misunderstood. This paper shows that causal symmetry is neither a platitude about multiple influences nor a denial of useful distinctions, but a powerful way of exposing hidden assumptions and opening up traditional formulations to fruitful change. (shrink)

If one investigates a process that has several causes but assumes that it has only one cause, one risks ruling out important causal factors. Three mechanisms account for this mistake: either the significance of the single cause under test is masked by noise contributed by the unsuspected and uncontrolled factors, or the process appears only when two or more causes interact, or the process appears when there are present any of a number of sufficient causes which are not mutally exclusive. (...) In ecology and evolutionary biology, experiments usually test single factor hypotheses, and many scientists apparently believe that hypotheses incorporating several factors are so much more difficult to test that to do so would not be practical. We discuss several areas in ecology and evolutionary biology in which the presupposition of simple causation has apparently impeded progress. We also examine a more mature field, the study of atherosclerosis, in which single factor studies did significantly delay progress towards understanding what now appears to be a multifactor process. The problem has three solutions: either factorial experiments, dynamic models that make quantitative predictions, response-surface methods, or all three. In choosing a definition for ‘cause’, we make a presupposition that profoundly influences subsequent observations and experimental designs. Alternative definitions of causation should be considered as contributing to potential cures for research problems. (shrink)

Some central ideas associated with developmental systems theory (DST) are outlined for non-specialists. These ideas concern the nature of biological development, the alleged distinction between "genetic" and "environmental" traits, the relations between organism and environment, and evolutionary processes. I also discuss some criticisms of the DST approach.

The concept of innateness is a part of folk wisdom but is also used by biologists and cognitive scientists. This concept has a legitimate role to play in science only if the colloquial usage relates to a coherent body of evidence. We examine many different candidates for the post of scientific successor of the folk concept of innateness. We argue that none of these candidates is entirely satisfactory. Some of the candidates are more interesting and useful than others, but the (...) interesting candidates are not equivalent to each other and the empirical and evidential relations between them are far from clear. Researchers have treated the various scientific notions that capture some aspect of the folk concept of innateness as equivalent to each other or at least as tracking properties that are strongly correlated with each other. But whether these correlations exist is an empirical issue. This empirical issue has not been thoroughly investigated because in the attempt to create a bridge between the folk view and their theories, researchers have often assumed that the properties must somehow cluster. Rather than making further attempts to import the folk concept of innateness into the sciences, efforts should now be made to focus on the empirical questions raised by the debates and pave the way to a better way of studying the development of living organisms. Such empirical questions must be answered before it can be decided whether a good scientific successor – in the form of a concept that refers to a collection of biologically significant properties that tend to co-occur – can be identified or whether the concept of innateness deserves no place in science. (shrink)

In a near-future world of bionics and biotechnology, the main ethical and political issue will be the definition of who we are. Could biomedical enhancements transform us to such an extent that we would be other than human? Habermas argues that any genetic enhancement intervention that could potentially alter ‘human nature’ should be morally prohibited since it alters the child’s nature or the very essence that makes the child who he is. This practice also commits the child to a specific (...) life project or, in any case, it puts specific restrictions on his freedom to choose a life of his own. Ultimately, genetic enhancement jeopardizes the very foundations of moral equality. I contend that Habermas’ argument is based either on a series of presuppositions that imply a gross misunderstanding of evolution or the relevant factual information cocerning the action we are about to morally assess is not empirically supported. Hence, the argument from human nature is based on a series of false or problematic assumptions, and, as such, it fails to play the normative role intended by Habermas. (shrink)

Comparisons of causal efficacy are ubiquitous in the practice of science and indeed everyday life. I focus on just one aspect of this task – one to my knowledge nowhere yet addressed satisfactorily – namely, comparing the efficacies of two causes that work in apparently incommensurable ways. Contrary to common opinion I argue that, to be comparable, it is neither necessary nor sufficient that two causes also be commensurable.

Scientific pluralism is an issue at the forefront of philosophy of science. This landmark work addresses the question, Can pluralism be advanced as a general, philosophical interpretation of science?

The twentieth century witnessed a dramatic increase in the use of statistics by biologists, including systematists. The modern synthesis and new systematics stimulated this development, particularly after World War II. The rise of "the statistical frame of mind " resulted in a rethinking of the relationship between biological and mathematical points of view, the roles of objectivity and subjectivity in systematic research, the implications of new computing technologies, and the place of systematics among the biological disciplines.

The debate about the levels of selection has been one of the most controversial both in evolutionary biology and in philosophy of science. Okasha’s book makes the sort of contribution that simply will not be able to be ignored by anyone interested in this field for many years to come. However, my interest here is in highlighting some examples of how Okasha goes about discussing his material to suggest that his book is part of an increasingly interesting trend that sees (...) scientists and philosophers coming together to build a broadened concept of “theory” through a combination of standard mathematical treatments and conceptual analyses. Given the often contentious history of the relationship between philosophy and science, such trend cannot but be welcome. (shrink)

Human development is a matter of complex interactions between nutritional regimes, genes, educational regimes and other diverse developmental resources. I argue that there is no ethically salient difference between the contributions made to development by genes and the contributions made by these other resources. Since we think nutrition and schooling should be included in the calculus of distributive justice, we should include at least some genes in this calculus too. What is more, under the right circumstances genetic engineering may become (...) a useful tool for the distribution of developmental resources. This said, attention to the parity of genetic and environmental causation can also help to articulate the legitimate suspicions many groups have of genetic engineering. (shrink)

How does a complex organism develop from a relatively simple, homogeneous mass? The usual answer is: through the execution of species-specific genetic instructions specifying the development of that organism. Commentators are sometimes sceptical of this usual answer, but of course not all commentators. Some biologists refer to master control genes responsible for the activation of all the genes responsible for every aspect of organismal development; and some philosophers, most notoriously Rosenberg, buy this claim hook, line, and sinker. Here I explore (...) both the seeming plausibility of the usual position, and also its ultimate inadequacy. (shrink)

A key challenge in conceptualizing ecological complexity is to allow simultaneously for particularity, contingency, and structure, and for such structure to be internally differentiated,dynamically tied to its context, and subject torestructuring. Because all organisms live insuch dynamic ecological circumstances, philosophy of ecology could become the leading site for addressing difficult conceptual questions concerning the situatedness or positionality of organisms –humans included – in their changing and intersecting worlds.

This essay extends Levins'' 1966 analysis of modelbuilding in ecology and evolutionary biology. Amodel, as the product of modeling, might bevalued according to its correspondence to reality. Yet Levins'' emphasis on provisionality and changeredirects attention to the processes ofmodeling, through which scientists select and generatetheir problems, define their categories, collect theirdata, compare competing models, and present theirfindings. I identify several points where decisionsare required that are not determined by nature. Thisinvites examination of the social considerationsmodelers are reacting to at the (...) sites of sociality.Modelers must weave socio-ecological webs so thatthe models can be seen to represent their subjectmatter at the same time as the modelers secure thesupport of colleagues, collaborators and institutions,and enjoin others to act upon their conclusions. Notonly do theory justification and theory generationmerge, but the joint project becomes simultaneouslyphilosophical and sociological. (shrink)

I begin by examining how genetics drivesschizophrenia research, and raise both familiar andrelatively novel criticisms of the evidence putativelysupporting the genetic basis of schizophrenia. Inparticular, I call attention to a set of concernsabout the effects of placentation on concordance ratesof schizophrenia in monozygotic twins, which furtherweakens the case for schizophrenia''s so-called stronggenetic component. I then underscore two criticalpoints. First, I emphasize the importance of takingseriously considerations about the complexity of bothontogenesis and the development of hereditarydiseases. The recognition of developmentalconstraints and (...) supports is crucial, for attention todevelopment exposes the naivete of too many models ofgene action in the aetiology of disease. Secondly, Iattend to those schizophreniologists who ignoremethodological criticisms and thus presume a geneticbasis for schizophrenia, and then seek the schizophrenic genotype lacking an adequatephenotype. In response I attempt to demonstrate thenecessity of a sustained effort at characterizing thephenotype of schizophrenia as an enabling conditionfor the whole enterprise of psychiatric genetics – andfor psychiatry itself. Without the organism-levelphenotype, research at the level of genes will remainunproductive – assuming of course that research at thegenetic level is appropriate at all. (shrink)

Evolutionary psychiatry suggests that mental disorders can be explained in evolutionary terms (a) as failures of psychological mechanisms to produce the adaptive effects for which they were naturally selected, (b) as mismatches between naturally selected psychological mechanisms and contemporary environmental pressures, or (c) as naturally selected psychological mechanisms whose effects continue to be adaptive. In this paper, I present a philosophical critique of evolutionary psychiatry that draws on Subrena Smith’s matching problem for evolutionary psychology. For evolutionary psychiatry hypotheses to be (...) empirically supported, proponents of evolutionary psychiatry must demonstrate (1) that the contemporary psychological mechanisms involved in mental disorders resemble the psychological mechanisms of our evolutionary ancestors, (2) that the contemporary psychological mechanisms are phylogenetically descended from the ancestral psychological mechanisms, and (3) that the ancestral psychological mechanisms were naturally selected because their effects had adaptive benefits. However, for many mental disorders, evolutionary psychiatry lacks the methodological resources to demonstrate these conditions. Therefore, many evolutionary psychiatry hypotheses are empirically untestable and remain indefinitely underdetermined by data. (shrink)

Research in pharmacogenomics and precision medicine has recently introduced the concept of Polygenic Scores (PGSs), namely, indexes that aggregate the effects that many genetic variants are predicted to have on individual disease risk. The popularity of PGSs is increasing rapidly, but surprisingly little attention has been paid to the idealisations they make about phenotypic development. Indeed, PGSs rely on quantitative genetics models and methods, which involve considerable theoretical assumptions that have been questioned on various grounds. This comes with epistemological and (...) ethical concerns about the use of PGSs in clinical decision-making. In this paper, I investigate to what extent idealisations in genetics models can impact the data gathering and clinical interpretation of genomics findings, particularly the calculation and predictive accuracy of PGSs. Although idealisations are considered ineliminable components of scientific models, they may be legitimate or not depending on the epistemic aims of a model. I thus analyse how various idealisations have been introduced in classical models and progressively readapted throughout the history of genetic theorising. Notably, this process involved important changes in the epistemic purpose of such idealisations, which raises the question of whether they are legitimate in the context of contemporary genomics. (shrink)

We received 23 spirited commentaries on our target article from across the disciplines of philosophy, economics, evolutionary genetics, molecular biology, criminology, epidemiology, and law. We organize our reply around three overarching questions: (1) What is a cause? (2) How are randomized controlled trials (RCTs) and within-family genome-wide association studies (GWASs) alike and unalike? (3) Is behavior genetics a qualitatively different enterprise? Throughout our discussion of these questions, we advocate for the idea that behavior genetics shares many of the same pitfalls (...) and promises as environmentally oriented research, medical genetics, and other arenas of the social and behavioral sciences. (shrink)

It has been known for decades that inference concerning genetic causes of human behavioral phenotypes cannot be legitimately made from correlations among relatives. We claim that these inferential difficulties cannot be overcome by assigning different names to causes inferred from within-family and population-level genome-wide association studies (GWASs). For educational attainment, for example, unraveling gene–environment interactions requires more than new names for causes.

This chapter contains section titled: Introduction: What is Phenotypic Plasticity? Developmental Conversion and Developmental Sensitivity: Two Forms of Phenotypic Plasticity Environmental Heterogeneity, Cues, and Plasticity Phenotypic Plasticity and Developmental Buffering The Future of Phenotypic Plasticity Research Acknowledgments References Further Reading.

In 1976, the Genetics Society of America published a document entitled “Resolution of Genetics, Race, and Intelligence.” This document laid out the Society’s position in the IQ controversy, particularly that on scientific and ethical questions involving the genetics of intellectual differences between human populations. Since the GSA was the largest scientific society of geneticists in the world, many expected the document to be of central importance in settling the controversy. Unfortunately, the Resolution had surprisingly little influence on the discussion. In (...) 1979, William Provine analyzed the possible factors that decreased the impact of the Resolution, among them scientists’ limited understanding of the relationship between science and ethics. Through the analysis of unpublished versions of the Resolution and exchanges between GSA members, I will suggest that the limited impact of the statement likely depended on a shift in the aims of the GSA due to the controversies that surrounded the preparation of the document. Indeed, the demands of the membership made it progressively more impartial in both scientific and political terms, decreasing its potential significance for a wider audience. Notably, the troubled history of the Resolution raises the question of what can make effective or ineffective the communication between scientists and the public—a question with resonance in past and present discussions on topics of social importance. (shrink)

The probability that the fitter of two alleles will increase in frequency in a population goes up as the product of N (the effective population size) and s (the selection coefficient) increases. Discovering the distribution of values for this product across different alleles in different populations is a very important biological task. However, biologists often use the product Ns to define a different concept; they say that drift “dominates” selection or that drift is “stronger than” selection when Ns is much (...) smaller than some threshold quantity (e.g., ½) and that the reverse is true when Ns is much larger than that threshold. We argue that the question of whether drift dominates selection for a single allele in a single population makes no sense. Selection and drift are causes of evolution, but there is no fact of the matter as to which cause is stronger in the evolution of any given allele. (shrink)

A “no ethics” principle has long been prevalent in science and has demotivated deliberation on scientific ethics. This paper argues the following: An understanding of a scientific “ethos” based on actual “value preferences” and “value repugnances” prevalent in the scientific community permits and demands critical accounts of the “no ethics” principle in science. The roots of this principle may be traced to a repugnance of human dignity, which was instilled at a historical breaking point in the interrelation between science and (...) ethics. This breaking point involved granting science the exclusive mandate to pass judgment on the life worth living. By contrast, respect for human dignity, in its Kantian definition as “the absolute inner worth of being human,” should be adopted as the basis to ground science ethics. The pathway from this foundation to the articulation of an ethical duty specific to scientific practice, i.e., respect for objective truth, is charted by Karl Popper’s discussion of the ethical principles that form the basis of science. This also permits an integrated account of the “external” and “internal” ethical problems in science. Principles of the respect for human dignity and the respect for objective truth are also safeguards of epistemic integrity. Plain defiance of human dignity by genetic determinism has compromised integrity of claims to knowledge in behavioral genetics and other behavioral sciences. Disregard of the ethical principles that form the basis of science threatens epistemic integrity. (shrink)

The presence of gene–environment statistical interaction and correlation in biological development has led both practitioners and philosophers of science to question the legitimacy of heritability estimates. The paper offers a novel approach to assess the impact of GxE and rGE on the way genetic and environmental causation can be partitioned. A probabilistic framework is developed, based on a quantitative genetic model that incorporates GxE and rGE, offering a rigorous way of interpreting heritability estimates. Specifically, given an estimate of heritability and (...) the variance components associated with estimates of GxE and rGE, I arrive at a probabilistic account of the relative effect of genes and environment. (shrink)

Recognizing that all traits are the result of an interaction between genes and environment, I offer a set of criteria for nevertheless making sense of our practice of singling out certain traits as genetic ones, in effect making a distinction between causes and mere conditions. The central criterion is that a trait is genetic if it is genetic differences that make the differences in that trait variable in a given population. A second criterion requires that genetic traits be individuated in (...) a way that matches what some genetic factors cause specifically. Clarifying our causal and classificatory language here can help us to avoid confusions of both theoretical and practical significance. (shrink)

Metaphors of adorning, crafting, water flowing downward, and growing sprouts appear in the Analects , the Mencius , and the Xunzi 荀子. They express and guide thinking about what there is in human nature to cultivate and how it is to be cultivated. The craft metaphor seems to imply that our nature is of the sort that must be disciplined and reshaped to achieve goodness, while the adorning, water, and sprout metaphors imply that human nature has an inbuilt directionality toward (...) the ethical that should be protected or nurtured. I argue that all the metaphors capture different aspects of human nature and how one must work with these aspects. There is much in contemporary psychology and neuroscience to suggest that the early Confucians were on the right track. It is also argued that they point to a fruitful conception of ethical development that is relational and holistic. (shrink)