Population Genetics

In this paper, I present a new framework supporting the claim that some elements in science play a constitutive function, with the aim of overcoming some limitations of Friedman's (2001) account. More precisely, I focus on what I consider to be the gradualism implicit in Friedman's interpretation of the constitutive a priori, that is, the fact that it seems to allow for degrees of 'constitutivity'. I tease out such gradualism by showing that the constitutive character Friedman aims to track can (...) be captured by three features - namely, quasi-axiomaticity (QA), generative potential (GP), and empirical shielding (ES) - which are exhibited to a maximal degree by the examples Friedman deploys, particularly in his analysis of Newtonian mechanics. I argue that not all varieties of 'constitutivity' can be captured by the kind of gradualism implicit in Friedman's view, although developing the gradualism itself might provide useful insights. To show this, I analyse the function of the Hardy-Weinberg principle (HWP) in population genetics in terms of its QA, GP, and ES. Whereas the HWP does not count as constitutive in classical philosophical interpretations (Sober 1984), nor does it within Friedman's framework, it does nonetheless perform a minimally constitutive function. By means of historical details and considerations on the prospects of replacing the HWP, I show that the HWP is minimally constitutive by being a counterfactual instantiation of a paradigmatically constitutive stability principle, where the latter might itself be regarded as an enabling condition for a variety of modelling practices across the sciences. (shrink)

Researchers often pursue proof of concept research, but criteria for evaluating such research remain poorly specified. This article proposes a general framework for proof of concept research that k...

A prevalent narrative locates the discovery of the statistical phenomenon of regression to the mean in the work of Francis Galton. It is claimed that after 1885, Galton came to explain the fact that offspring deviated less from the mean value of the population than their parents did as a population-level statistical phenomenon and not as the result of the processes of inheritance. Arguing against this claim, we show that Galton did not explain regression towards mediocrity statistically, and did not (...) give up on his ideas regarding an inheritance process that caused offspring to revert to the mean. While the common narrative focuses almost exclusively on Galton’s statistics, our arguments emphasize the anthropological and biological questions that Galton addressed. Galton used regression towards mediocrity to support the claim that some biological types were more stable than others and hence were resistant to evolutionary change. This view had implications concerning both natural selection and eugenics. The statistical explanation attributed to Galton appeared later, during the biometrician-mutationist debate in the early 1900s. It was in the context of this debate and specifically by the biometricians, that the development of the statistical explanation was originally attributed to Galton. (shrink)

Dies ist eine ausgezeichnete Überprüfung der Gen-/Umgebungsinteraktionen auf das Verhalten und ist, obwohl sie etwas veraltet ist, eine einfache und lohnende Lektüre. Sie beginnen mit Zwillingsstudien, die den überwältigenden Einfluss der Genetik auf das Verhalten zeigen. Sie stellen die immer bekannter werdenden Studien von Judith Harris fest, die die Fakten erweitern und zusammenfassen, dass die gemeinsame häusliche Umgebung fast keinen Einfluss auf das Verhalten hat und dass adoptierte Kinder so anders wachsen als ihre Stiefbrüder und -schwestern wie zufällig ausgewählte Menschen. (...) Ein grundlegender Punkt, den sie (und fast alle, die über Verhaltensgenetik diskutieren) nicht zur Kenntnis nehmen, ist, dass die Hunderte (Tausende je nach Standpunkt) menschlicher Verhaltensuniversalen, einschließlich aller Grundlagen unserer Persönlichkeiten, zu 100% von unseren Genen bestimmt werden, ohne Variation in normalen Werten. Jeder sieht einen Baum als Baum und nicht als Stein, sucht und isst Nahrung, wird wütend und eifersüchtig usw. Worüber sie hier also meistens sprechen, ist, wie viel Umwelt (Kultur) das Ausmaß beeinflussen kann, in dem verschiedene Merkmale gezeigt werden, und nicht ihr Aussehen. Schließlich diskutieren sie die Eugenik in der üblichen politisch korrekten Weise, ohne festzustellen, dass wir und alle Organismen die Produkte der Eugenik der Natur sind und dass Versuche, die natürliche Selektion mit Medizin, Landwirtschaft und Zivilisation als Ganzes zu besiegen, für jede Gesellschaft, die dies weiterhin tut,katastrophalsind. Bis zu 50 % aller Empfängnisse oder etwa 100 Millionen pro Jahr enden in einer frühen spontanen Abtreibung, fast alle ohne Dassmund die Mutter. Diese natürliche Keulung defekter Gene treibt die Evolution an, hält uns relativ genetisch gesund und macht die Gesellschaft möglich. Dysgenös ist ausreichend, um die Zivilisation zu zerstören, aber Überbevölkerung wirdd o eszuerst. Wer aus der modernen zweisystems-Sichteinen umfassenden, aktuellen Rahmen für menschliches Verhalten wünscht, kann mein Buch "The Logical Structure of Philosophy, Psychology, Mindand Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019) konsultieren. Diejenigen,die sich für mehr meiner Schriften interessieren, können 'Talking Monkeys--Philosophie, Psychologie, Wissenschaft, Religion und Politik auf einem verdammten Planeten --Artikel und Rezensionen 2006-2017' 3rd ed (2019) und andere sehen. (shrink)

Это отличный обзор генов / окружающей среды взаимодействия на поведение и, несмотря на то, немного от, это легко и стоит читать. Они начинаются с двойных исследований, которые показывают подавляющее влияние генетики на поведение. Они отмечают все более известные исследования Джудит Харрис, которые расширяют и обобщают факты, которые разделяют домашнюю среду, почти не влияет на поведение и что приемные дети вырастают такими же разными от своих сводных братьев и сестер, как люди, выбранные случайным образом. Один из основных моментов, что они (и (...) почти все, кто обсуждает поведенческой генетики) не отметить, что сотни (тысячи в зависимости от вашей точки зрения) человеческих поведенческих универсалий, в том числе все основы нашей личности, на 100% определяется нашими генами, без каких-либо изменений в нормах. Каждый видит дерево как дерево, а не камень, ищет и ест пищу, сердится и ревнует и т.д. Таким образом, то, что они в основном говорят о том, сколько окружающей среды (культура) может повлиять на степень, в которой различные черты показаны, а не их внешний вид. Наконец, они обсуждают евгеники в обычной политически корректной моды, не заметив, что мы и все организмы являются продуктами евгеники природы и что попытки победить естественный отбор с медициной, сельского хозяйства и цивилизации в целом, являются катастрофическими для любого общества, которое сохраняется в этом. До 50% всех зачатий, или около 100 миллионов/год, заканчиваются ранним спонтанным абортом, почти все без того, чтобы мать знала об этом. Это естественное выбраковка дефектных генов стимулирует эволюцию, сохраняет нас относительно генетически здоровыми и делает возможным общество. Дисгении достаточно, чтобы уничтожить цивилизацию, но перенаселенность будет do его впервую очередь. Те, кто желает всеобъемлющего до современных рамок для человеческого поведения из современных двух systEms зрения могут проконсультироваться с моей книгой"Логическая структура философии, психологии, Минd иязык в Людвиг Витгенштейн и Джон Сирл"2-й ред (2019). Те, кто заинтересован в более моих работ могут увидеть "Говоря обезьян - -Философия, Психология, Наука, Религия и Политика на обреченной планете - Статьи и обзоры 2006-2017' 3rd ed (2019) и другие. (shrink)

这是一个对行为上基因/环境相互作用的极好的回顾,尽管有点过时,但却是一个简单而值得阅读的。他们从双胞胎研究开始,这些研究显示了遗传学对行为的压倒性影响。他们注意到朱迪思·哈里斯越来越广为人知的研究,这 些研究扩展并总结了共享家庭环境对行为几乎没有影响的事实,领养的孩子长大后与选择的继兄弟姐妹一样不同。随机。一个基本点,他们(和几乎所有谁讨论行为遗传学)没有注意到的是,数百(取决于你的观点)人类行为普 遍性,包括我们个性的所有基本,是由我们的基因100%决定,与法线没有变化。每个人都把树看成一棵树,而不是一块石头,寻找和吃食物,生气和嫉妒等等。因此,他们主要讨论的是,环境(文化)能在多大程度上影响各 种特征的显示程度,而不是它们的外观。 最后,他们以通常的政治正确方式讨论优生学,没有注意到我们和所有生物体是自然优生学的产物,并且试图用医学、农业和整个文明来击败自然选择,灾难性的任何社会,坚持这样做。多达50%的所有受孕,或大约1亿/年 ,以早期自然流产结束,几乎所有的母亲都没有意识到。这种对缺陷基因的自然剔除推动了进化,使我们相对地保持遗传健康,并使社会成为可能。基因足以破坏文明,但人口过剩会先破坏文明。 那些希望从现代两个系统的观点来看为人类行为建立一个全面的最新框架的人,可以查阅我的书《路德维希的哲学、心理学、Min d和语言的逻辑结构》维特根斯坦和约翰·西尔的二等奖(2019年)。那些对我更多的作品感兴趣的人可能会看到《会说话的猴子——一个末日星球上的哲学、心理学、科学、宗教和政治——文章和评论2006-2017 年'3rd ed(2019)。.

The role of genetic relatedness in social evolution has recently come under critical attention. These arguments are here critically analyzed, both theoretically and empirically. It is argued that when the conceptual structure of the theory of natural selection is carefully taken into account, genetic relatedness can be seen to play an indispensable role in the evolution of both facultative and advanced eusociality. Although reviewing the empirical evidence concerning the evolution of eusociality reveals that relatedness does not play a role in (...) the initial appearance of helper phenotypes, this follows simply from the fact that natural selection – of which relatedness is a necessary component – does not play a causal role in the origin of any traits. Further, separating two logically distinct elements of causal explanation – necessity and sufficiency – explains why the debate lingers on: although relatedness plays a necessary role in the evolution of helping and advanced eusociality, relatedness alone is not sufficient for their appearance. Therefore, if the relatedness variable in a given data set is held at a uniformly high value, then it indeed may turn out that other factors occupy a more prominent role. However, this does not change the fact that high relatedness functions as a necessary background condition for the evolution of advanced eusociality. (shrink)

One debate that metaphysicians of race have been consumed with since the 1990s is what we can call the US race debate, which is the debate about what the nature and reality of race is according to the dominant ways that ‘race’ and race terms are used to classify people in contemporary American English. In 2014, I contributed a defence of biological racial realism in the US race debate that utilized new results about human genetic clustering from population genetics. In (...) this paper, I will show that all US race theories have been wrong, including my own. This is because, as I will argue, the correct US race theory has a radically pluralist form. This is an instance of a metametaphysical position that I call radical racial pluralism. After defending radical racial pluralism in the US race debate, I explore valuable implications of the view for philosophers of race. (shrink)

Famous ant-man E.O. Wilson has always been one of my heroes --not only an outstanding biologist, but one of the tiny and vanishing minority of intellectuals who at least dares to hint at the truth about our nature that others fail to grasp, or insofar as they do grasp, studiously avoid for political expedience. Sadly, he is ending his long career in a most sordid fashion as a party to an ignorant and arrogant attack on science motivated at least in (...) part by the religious fervor of his Harvard colleagues. It shows the vile consequences when universities accept money from religious groups, science journals are so awed by big names that they avoid proper peer review, and when egos are permitted to get out of control. It takes us into the nature of evolution, the basics of scientific methodology, how math relates to science, what constitutes a theory, and even what attitudes to religion and generosity are appropriate as we inexorably approach the collapse of industrial civilization. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019) and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

Esta é uma revisão excelente de interações do gene/ambiente no comportamento e, apesar de ser um bocado datado, é uma leitura fácil e de valor. Eles começam com estudos gêmeos que mostram o impacto esmagador da genética sobre o comportamento. Eles observam os estudos cada vez mais conhecidos de Judith Harris que estendem e resumem os fatos que o ambiente doméstico compartilhado quase não tem efeito sobre o comportamento e que as crianças adotadas crescem para ser tão diferente de seus (...) meio-irmão e irmãs como as pessoas escolhidas aleatoriamente. Um ponto básico que eles (e quase todos os que discutem a genética comportamental) não conseguem notar é que as centenas (milhares dependendo do seu ponto de vista) de universais comportamentais humanos, incluindo todos os fundamentos de nossas personalidades, são 100% determinados por nossos genes, com nenhuma variação em normals. Todo mundo vê uma árvore como uma árvore e não uma pedra, procura e come comida, fica irritado e ciumento, etc. Assim, o que estão falando na maior parte sobre aqui é quanto ambiente (cultura) pode afetar o grau a que as várias características são mostradas, um pouco do que sua aparência. Finalmente, eles discutem a eugenia da forma usual politicamente correta, deixando de notar que nós e todos os organismos são os produtos da eugenia da natureza e que as tentativas de derrotar a seleção natural com a medicina, a agricultura e a civilização como um todo, são desastroso para qualquer sociedade que persiste em fazer isso. Tanto quanto 50% de todas as concepções, ou cerca de 100 milhões/ano, terminam em aborto espontâneo precoce, quase todos sem que a mãe esteja consciente. Este abate natural de genes defeituosos impulsiona a evolução, mantém-nos relativamente geneticamente som e torna a sociedade possível. Disgenia é suficiente para destruir a civilização, mas superpopulação vai do primeiro. Aqueles que desejam um quadro até à data detalhado para o comportamento humano da opinião moderna dos dois sistemas consultar meu livros Falando Macacos 3ª Ed (2019), A Estrutura Lógica da Filosofia, Psicologia, Mente e Linguagem em Ludwig Wittgenstein e John Searle 2a Ed (2019), Suicídio Pela Democracia,4aEd(2019), Entendendo as Conexões entre Ciência, Filosofia, Psicologia, Religião, Política e Economia Artigos e Análises 2006-2019 (2019), Ilusões Utópicas Suicidas no 21St século 5a Ed (2019), A Estrutura Lógica do Comportamento Humano (2019), e A Estrutura Lógica da Consciência (2019) y otras. (shrink)

-/- Esta es una excelente revisión de las interacciones gen/ambiente en el comportamiento y, a pesar de ser un poco anticuado, es una lectura fácil y valiosa. Empiezan con estudios gemelos que muestran el impacto abrumador de la genética en el comportamiento. Señalan los estudios cada vez más conocidos de Judith Harris, que amplían y resumen los hechos de que el ambiente doméstico compartido casi no tiene efecto sobre el comportamiento y que los niños adoptados crecen para ser tan diferentes (...) de sus hermanastros y hermanas como las personas elegidas al azar. Un punto básico que ellos (y casi todos los que discuten sobre la genética conductual) no se dan cuenta es que los cientos (miles dependiendo de su punto de vista) de los universales de comportamiento humano, incluyendo todos los fundamentos de nuestras personalidades, son 100% determinado por nuestros genes, con no hay variación en las normales. Todo el mundo ve un árbol como un árbol y no una piedra, busca y come comida, se enfada y celosa, etc. Por lo tanto, lo que están hablando sobre todo aquí es cuánto ambiente (cultura) puede afectar al grado en que se muestran varios rasgos, en lugar de su apariencia. -/- Por último, discuten la eugenesia en la costumbre políticamente correcta, al no notar que nosotros y todos los organismos somos los productos de la eugenesia de la naturaleza y que los intentos de derrotar la selección natural con la medicina, la agricultura y la civilización en su conjunto, son desastroso para cualquier sociedad que persiste en hacer esto. Tanto como el 50% de todas las concepciones, o unos 100 millones/año, terminan en abortos espontáneos tempranos, casi todos sin que la madre sea consciente. Este sacrificio natural de genes defectuosos impulsa la evolución, nos mantiene relativamente genéticamente sólidas y hace posible la sociedad. La disgenesia es suficiente para destruir la civilización pero sobrepoblación se do primero. -/- Aquellos que deseen un marco completo hasta la fecha para el comportamiento humano de la moderna Dos Sistemas Punto de Vista puede consultar mi libro 'La estructura lógica de la filosofía, la psicología, la mente y lenguaje En Ludwig Wittgenstein y John Searle ' 2Nd Ed (2019). Los interesados en más de mis escritos pueden ver 'Monos parlantes--filosofía, psicología, ciencia, religión y política en un planeta condenado--artículos y reseñas 2006-2017' 3Rd Ed (2019) y otras. (shrink)

At the interface of developmental biology and evolutionary biology, the very criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena. -/- This dissertation compares two recent research projects in which researchers jointly use the two (...) kinds of models. I use methods from the empirical social sciences, such as digital corpus analysis, content analysis, and structured case analysis. I infer three primary conclusions about projects of the kind studied. First, they employ an implicit concept of gene that enables the joint use of both kinds of models. Second, they pursue more epistemic aims besides mechanistic explanation of phenomena. Third, they don’t work to create and export broad synthesized theories. Rather, they focus on phenomena too complex to be understood by a common general theory, they distinguish parts of the phenomena, and they apply models from different theories to the different parts. For such projects, seemingly incompatible models are synthesized largely through mediated representations of complex phenomena. (shrink)

Statistical reasoning is an integral part of modern scientific practice. In The Seven Pillars of Statistical Wisdom Stephen Stigler presents seven core ideas, or pillars, of statistical thinking and the historical developments of each of these pillars, many of which were concurrent with developments in biology. Here we focus on Stigler’s fifth pillar, regression, and his discussion of how regression to the mean came to be thought of as a solution to a challenge for the theory of natural selection. Stigler (...) argues that the purely mathematical phenomenon of regression to the mean provides a resolution to a problem for Darwin’s evolutionary theory. Thus, he argues that the resolution to the problem for Darwin’s theory is purely mathematical, rather than causal. We show why this argument is problematic. (shrink)

Gene–environment covariance is the phenomenon whereby genetic differences bias variation in developmental environment, and is particularly problematic for assigning genetic and environmental causation in a heritability analysis. The interpretation of these cases has differed amongst biologists and philosophers, leading some to reject the utility of heritability estimates altogether. This paper examines the factors that influence causal reasoning when G–E covariance is present, leading to interpretive disagreement between scholars. It argues that the causal intuitions elicited are influenced by concepts of agency (...) and blame-worthiness, and are intimately tied with the conceptual understanding of the phenotype under investigation. By considering a phenotype-specific approach, I provide an account as to why causal ascriptions can differ depending on the interpreter. Phenotypes like intelligence, which have been the primary focus of this debate, are more likely to spark disagreement for the interpretation of G–E covariance cases because the concept and ideas about its ‘normal development’ relatively ill-defined and are a subject of debate. I contend that philosophical disagreement about causal attributions in G–E covariance cases are in essence disagreements regarding how a phenotype should be defined and understood. This moves the debate from one of an ontological flavour concerning objective causal claims, to one concerning the conceptual, normative and semantic dependencies. (shrink)

Noah Rosenberg et al.'s 2002 article “Genetic Structure of Human Populations” reported that multivariate genomic analysis of a large cell line panel yielded reproducible groupings (clusters) suggestive of individuals' geographical origins. The paper has been repeatedly cited as evidence that traditional notions of race have a biological basis, a claim its authors do not make. Critics of this misinterpretation have often suggested that it follows from interpreters' personal biases skewing the reception of an objective piece of scientific writing. I contend, (...) however, that the article itself to some degree facilitates this misrepresentation. I analyze in detail several verbal and visual features of the original article that may predispose aspects of its racial interpretation; and, tracing the arguments of one philosopher and one popular science writer, I show how these features are absorbed, transformed into arguments for a biological basis of race, and re-attributed to the original. The essay demonstrates how even slight ambiguities can enable the misappropriation of scientific writing, unintentionally undermining the authors' stated circumspection on the relationship between cluster and race. (shrink)

The notion that natural selection is a process of fitness maximization gets a bad press in population genetics, yet in other areas of biology the view that organisms behave as if attempting to maximize their fitness remains widespread. Here I critically appraise the prospects for reconciliation. I first distinguish four varieties of fitness maximization. I then examine two recent developments that may appear to vindicate at least one of these varieties. The first is the ‘new’ interpretation of Fisher's fundamental theorem (...) of natural selection, on which the theorem is exactly true for any evolving population that satisfies some minimal assumptions. The second is the Formal Darwinism project, which forges links between gene frequency change and optimal strategy choice. In both cases, I argue that the results fail to establish a biologically significant maximization principle. I conclude that it may be a mistake to look for universal maximization principles justified by theory alone. A more promising approach may be to find maximization principles that apply conditionally and to show that the conditions were satisfied in the evolution of particular traits. (shrink)

Neven Sesardic has recently defended his arguments in favour of racial naturalism—the view that race is a valid biological category—in response to my criticism of his work. While Sesardic claims that a strong version of racial naturalism can survive critique, he has in fact weakened his position considerably. He concedes that conventional racial taxonomy is arbitrary and he no longer identifies ‘races’ as human subspecies. Sesardic now relies almost entirely on Theodosius Dobzhansky’s notion of race-as-population. This weak approach to ‘race’—according (...) to which all genetic difference between populations is ‘racial’ and ‘the races’ are simply the populations we choose to call races—survived its early critiques. As it is being mobilised to support racial naturalism once more, we need to continue the debate about whether we should weaken the concept of race to mean ‘population’, or abandon it as a failed biological category. I argue that Sesardic’s case for racial naturalism is only supported by his continued mischaracterisation of anti-realism about biological race and his appeal to Dobzhansky’s authority. Rather than deflating the meaning of ‘race’, it should be eliminated from our biological ontology. (shrink)

This article is about ‘genogeographic’ maps produced by late-Soviet geneticists and published during post-Soviet time. It focuses on the visual and numerical techniques scientists used to project genetic data onto geographic space. Rather than discussing their representational character, I follow these visuals as ‘folded objects’, describing the layering and realigning of measurements and temporalities as well as the shifts in the practices and meanings of genetics. In the 1970s Soviet biological anthropologists transformed scattered data points by means of spatial statistics (...) into visually coherent maps for a ‘genogeographical atlas’, by interpolating data for the entire USSR territory. Computer-aided modelling rendered ‘populations’ as systemic entities and enacted specific cybernetic versions of population, evolution and difference. Tracing the history of their making helps one in understanding what these folded objects hold in store, in terms of data ranging from Russian imperial and colonial anthropology, through early Soviet traditions, to cold war technologies. Folded into those maps in intricate ways, they have co-shaped post-Soviet human genetics as an ever-active site for possible reinscriptions of difference. (shrink)

Lewis et al. (2011) attempted to restore the reputation of Samuel George Morton, a 19th century physician who reported on the skull sizes of different folk-races. Whereas Gould (1978) claimed that Morton’s conclusions were invalid because they reflected unconscious bias, Lewis et al. alleged that Morton’s findings were, in fact, supported, and Gould’s analysis biased. We take strong exception to Lewis et al.’s thesis that Morton was “right.” We maintain that Gould was right to reject Morton’s analysis as inappropriate and (...) misleading, but wrong to believe that a more appropriate analysis was available. Lewis et al. fail to recognize that there is, given the dataset available, no appropriate way to answer any of the plausibly interesting questions about the “populations” in question (which in many cases are not populations in any biologically meaningful sense). We challenge the premise shared by both Gould and Lewis et al. that Morton’s confused data can be used to draw any meaningful conclusions. This, we argue, reveals the importance of properly focusing on the questions asked, rather than more narrowly on the data gathered. (shrink)

This article describes how empirical discoveries in the 1930s–1950s regarding population variation for chromosomal inversions affected Theodosius Dobzhansky and Richard Goldschmidt. A significant fraction of the empirical work I discuss was done by Dobzhansky and his coworkers; Goldschmidt was an astute interpreter, with strong and unusual commitments. I argue that both belong to a mechanistic tradition in genetics, concerned with the effects of chromosomal organization and systems on the inheritance patterns of species. Their different trajectories illustrate how scientists’ commitments affect (...) how they interpret new evidence and adjust to it. Dobzhansky was moved to revised views about selection, while Goldschmidt moved his attention to different genetic phenomena. However different, there are significant connections between the two that enrich our understanding of their views. I focus on two: the role of developmental considerations in Dobzhansky’s thought and the role of neutrality and drift in Goldschmidt’s evolutionary account. Dobzhansky’s struggle with chromosomal variation is not solely about competing schools of thought within the selectionist camp, as insightfully articulated by John Beatty, but also a story of competition between selectionist thinking and developmental perspectives. In contraposition, Goldschmidt emphasized the role of low penetrance mutations that spread neutrally and pointed out that drift could result from developmental canalization. This account adds to the dominant story about Goldschmidt’s resistance to the splitting of development from genetics, as told by Garland Allen and Michael Dietrich. The story I tell illustrates how developmental thinking and genetic thinking conflicted and influenced researchers with different convictions about the significance of chromosomal organization. (shrink)

From the 1960s, mathematical and computational tools have been developed to arrive at human population trees from various kinds of serological and molecular data. Focusing on the work of the Italian-born population geneticist Luigi Luca Cavalli-Sforza, I follow the practices of tree-building and mapping from the early blood-group studies to the current genetic admixture research. I argue that the visual language of the tree is paralleled in the narrative of the human diasporas, and I show how the tree was actually (...) mapped onto the surface of the earth. This visual and textual structure is mirrored in the liberal discourse of unity in diversity that has been criticized as running counter to the socio-political effects of human population genetics. From this perspective, one may ask how far the phylogenetic diagram in its various forms is a manifestation of the physics of power that according to Michel Foucault consists in mechanisms that analyse distributions, movements, series, combinations, and that uses instruments to render visible, to register, to differentiate and to compare. It is one among other disciplinary technologies that ensure the ordering of human diversity. In the case of intra-human phylogenetic trees, population samples and labels are one issue. Another is that the separated branches seem to show groups of people, who have in reality been interacting and converging, as isolated. Often based on so-called isolated peoples, molecular tree diagrams freeze a hierarchical kinship system that is meant to represent a state before the great historical population movements. (shrink)

This year’s topic is “Genomics and Philosophy of Race.” Different researchers might work on distinct subsets of the six thematic clusters below, which are neither mutually exclusive nor collectively exhaustive: (1) Concepts of ‘Race’; (2) Mathematical Modeling of Human History and Population Structure; (3) Data and Technologies of Human Genomics; (4) Biological Reality of Race; (5) Racialized Selves in a Global Context; (6) Pragmatic Consequences of ‘Race Talk’ among Biologists.

Jeremy R. Garrett claims that the nature and scope of our rescue duties cannot be properly understood and addressed without reference to social context or institutional background conditions. In my comment I focus not on social or institutional but on psychological background conditions that are also necessary for the conceptualization of rescue cases. These additional conditions are of crucial importance since an entire paradigm of “rescue medicine” is founded, as Garret notices, on the powerful and immediate “impulse to rescue” (Garrett (...) 2015). I understand this “impulse” as the preference toward identified victims, and I argue that it may sometimes distort genuine moral judgments in rescue cases. (shrink)

This article discusses minimal model explanations, which we argue are distinct from various causal, mechanical, difference-making, and so on, strategies prominent in the philosophical literature. We contend that what accounts for the explanatory power of these models is not that they have certain features in common with real systems. Rather, the models are explanatory because of a story about why a class of systems will all display the same large-scale behavior because the details that distinguish them are irrelevant. This story (...) explains patterns across extremely diverse systems and shows how minimal models can be used to understand real systems. (shrink)

Cooperation is rife in the microbial world, yet our best current theories of the evolution of cooperation were developed with multicellular animals in mind. Hamilton’s theory of inclusive fitness is an important case in point: applying the theory in a microbial setting is far from straightforward, as social evolution in microbes has a number of distinctive features that the theory was never intended to capture. In this article, I focus on the conceptual challenges posed by the project of extending Hamilton’s (...) theory to accommodate the effects of gene mobility. I begin by outlining the basics of the theory of inclusive fitness, emphasizing the role that the concept of relatedness is intended to play. I then provide a brief history of this concept, showing how, over the past fifty years, it has departed from the intuitive notion of genealogical kinship to encompass a range of generalized measures of genetic similarity. I proceed to argue that gene mobility forces a further revision of the concept. The reason in short is that, when the genes implicated in producing social behaviour are mobile, we cannot talk of an organism’s genotype simpliciter; we can talk only of an organism’s genotype at a particular stage in its life cycle. We must therefore ask: with respect to which stage(s) in the life cycle should relatedness be evaluated? For instance: is it genetic similarity at the time of social interaction that matters to the evolution of social behaviour, or is it genetic similarity at the time of reproduction? I argue that, strictly speaking, it is neither of these: what really matters to the evolution of social behaviour is diachronic genetic similarity between the producers of fitness benefits at the time they produce them and the recipients of those benefits at the end of their life-cycle. I close by discussing the implications of this result. The main payoff is that it makes room for a possible new mechanism for the evolution of altruism in microbes that does not require correlated interaction among bearers of the genes for altruism. The importance of this mechanism in nature remains an open empirical question. (shrink)

Although there once was a general consensus among race scholars that applying race categories to humans is biologically illegitimate, this consensus has been erased over the past decade. This is largely due to advances in population genetics that allow biologists to pick out genetic population clusters that approximate some of our common sense racial categories. In this paper, I argue that this new ability really ought not undermine our confidence in the biological illegitimacy of the human races. Unfortunately, the claim (...) that races are biologically legitimate is ambiguous—the sense I will be concerned with here holds that the human species can be divided into biological subspecies. Sesardic and Andreasen have both argued that the cluster results are evidence for subspecies within the human population. I show the cluster results are in fact evidentially inert relative to each author’s preferred subspecies concept. I then sketch the kinds of biological facts that could be used to adjudicate whether human subspecies have existed in the past. (shrink)

The aim of this paper is to further develop van Fraassen’s diagnosis, expanding a previous analysis of the fundamental law of classical genetics and the status of the so-called ‘Mendel’s laws’.6 According to this diagnosis the Hardy-Weinberg law: 1) cannot be considered as axiom (or fundamental law) for classical population genetics, since it is a law that describes an equilibrium that 2) holds only under certain special conditions, and 3) only determines a subclass of models, 4) whose generalized form (and (...) fundamental law) being shading off into logical vacuity, and 5) more complex variants of the fundamental law (and of the Hardy-Weinberg law) can be “deduced” for more realistic assumptions. In order to achieve this, I will use notions of the structuralist view of theories, a version that is related to but different from that of van Fraassen’s. These are the notions of fundamental law, specialization, and special law. Having as a background a structuralist reconstruction of classical population genetics, I will show why the Hardy-Weinberg law should not be in fact considered the fundamental law of such a theory, but a special law (and not even a “terminal” specialization, i.e. a “non-terminal” specialization). (shrink)

The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection and reproduction, and generate statistics to predict evolutionary changes. The causal reconstruction of the evolutionary principles shows (...) adaptive evolution as a genuine causal process, where fitness and selection are both causes of evolution. 1 Introduction2 The Philosophical Puzzle3 Causal Models4 Causal Foundations of Evolutionary Genetics4.1 Univariate quantitative genetics model4.1.1 The causal graph4.1.2 Structural equations4.1.3 Deriving evolutionary transition functions4.2 One-locus population genetics model5 Evolution as a Causal Process5.1 Selection as a causal process5.2 Causes of evolutionary change6 Conclusion. (shrink)

This research was carried out in order to verify by simulation Mendel’s laws and seek for the clarification, from the author’s point of view, the Mendel-Fisher controversy. It was demonstrated from: the experimental procedure and the first two steps of the Hardy-Weinberg law, that the null hypothesis in such experiments is absolutely and undeniably true. Consequently, repeating hybridizing experiments as those showed by Mendel, it makes sense to expect a highly coincidence between the observed and the expected cell frequencies. By (...) simulation, 30 random samples were generated with size equal to the number of observations reported by Mendel for his single trait trial, in this case, seed shape; assuming complete dominance, with genes A and a; likewise, it was simulated the results for the experiment with two traits, segregating in separate chromosomes, in this case seed shape, as before, and albumen color, with genes B and b, both loci with complete dominance. In the case of a single trait, the data only showed evidence for rejecting the null hypothesis (Ho ) in 1/30 samples, with (P<0.05). In the case of the 30 samples of the two traits experiment, (Ho ) was rejected only on 3/30 times, when it was set a = 0.05. In both simulations there was a high correspondence between the observed and expected cell frequencies, which is simply due to the fact that (Ho ) is true, and under these conditions, that is what would to expect. It was concluded, that Mendel had no reason to manipulate his data in order to make them to coincide with his beliefs. Therefore, in experiment with a single trait, and in experiments with two traits assuming complete dominance, segregation ratios are 3:1; and 9:3:3:1, respectively. Consequently, Mendel’s laws, under the conditions as were described are absolutely valid and universal. (shrink)

It has become customary among philosophers and biologists to claim that folk racial classification has no biological basis. This paper attempts to debunk that view. In this paper, I show that ‘race’, as used in current U.S. race talk, picks out a biologically real entity. I do this by, first, showing that ‘race’, in this use, is not a kind term, but a proper name for a set of human population groups. Next, using recent human genetic clustering results, I show (...) that this set of human population groups is a partition of human populations that I call ‘the Blumenbach partition’. (shrink)

Two families of mathematical methods lie at the heart of investigating the hierarchical structure of genetic variation in Homo sapiens: /diversity partitioning/, which assesses genetic variation within and among pre-determined groups, and /clustering analysis/, which simultaneously produces clusters and assigns individuals to these “unsupervised” cluster classifications. While mathematically consistent, these two methodologies are understood by many to ground diametrically opposed claims about the reality of human races. Moreover, modeling results are sensitive to assumptions such as preexisting theoretical commitments to certain (...) linguistic, anthropological, and geographic human groups. Thus, models can be perniciously reified. That is, they can be conflated and confused with the world. This fact belies standard realist and antirealist interpretations of “race,” and supports a pluralist conventionalist interpretation. (shrink)

How can players reach a Nash equilibrium? I offer one possible explanation in terms of a low-rationality learning method called probe and adjust by proving that it converges to strict Nash equilibria in an important class of games. This demonstrates that decidedly limited learning methods can support Nash equilibrium play.

In this paper we present a new framework of idealization in biology. We characterize idealizations as a network of counterfactual and hypothetical conditionals that can exhibit different "degrees of contingency". We use this idea to say that, in departing more or less from the actual world, idealizations can serve numerous epistemic, methodological or heuristic purposes within scientific research. We defend that, in part, this structure explains why idealizations, despite being deformations of reality, are so successful in scientific practice. For illustrative (...) purposes, we provide an example from population genetics, the Wright-Fisher Model. (shrink)

In a recent paper, Brandon and Nijhout argue against genic selectionism—the thesis, roughly, that evolutionary processes are best understood from the gene’s-eye point of view—by presenting a case in which genic models of selection allegedly make predictions that conflict with the (correct) predictions of higher-level genotypic selection models. Their argument, if successful, would refute the widely held belief that genic models and higher-level models are predictively equivalent. Here, I argue that Brandon and Nijhout fail to demonstrate that the models make (...) incompatible predictions. (shrink)

This paper suggests that many of the pressing dilemmas of bioethics are global and structural in nature. Accordingly, global ethical frameworks are required which recognize the ethically significant factors of all global actors. To this end, ethical frameworks must recognize the rights and interests of both individuals and groups (and the interrelation of these). The paper suggests that the current dominant bioethical framework is inadequate to this task as it is over-individualist and therefore unable to give significant weight to the (...) ethical demands of groups (and by extension communal and public goods). It will explore this theme by considering the inadequacy of informed consent (the ‘global standard’ of bioethics) to address two pressing global bioethical issues: medical tourism and population genetics.Using these examples it will show why consent is inadequate to address all the significant features of these ethical dilemmas. Four key failures will be explored, namely,• That the rights and interests of those related (and therefore affected) are neglected;• That consent fails to take account of the context and commitments of individuals which may constitute inducement and coercion;• That consent alone does not have the ethical weight to negate exploitation or make an unjust action just (‘the fallacy of sufficiency’);• That consent is a single one-off act which is inappropriate for the types of decision being made.It will conclude by suggesting that more appropriate models are emerging, particularly in population genetics, which can supplement consent. (shrink)

In recent years, several prominent biologists have pointed to the relatively new field of evolutionary developmental biology as evidence of an Extended Synthesis in evolutionary biology. More particularly, these biologists claim that theoretical and empirical EvoDevo research is extending the Modern Synthesis framework of evolutionary theory through investigation of evolutionarily important concepts that are not part of the framework developed during the 20th century. To describe the current changes in evolutionary biology as an Extended Synthesis, however, is incorrect. Through review (...) of Extended Synthesis arguments and analysis of the same biological concepts used to support these arguments, I argue that the foundation of the Modern Synthesis framework, theoretical population genetics, faces significant, perhaps insurmountable challenges from the concepts highlighted by EvoDevo research. As the foundation of the Modern Synthesis framework will require considerable remodeling—if possible—in light of the concepts emphasized by EvoDevo, it is incorrect to describe the ongoing changes in evolutionary biology as an Extended Synthesis. (shrink)

Para algunos la selección natural se identifica con las diferencias de éxito de distintos organismos en la reproducción diferencial. Si esto fuese así, el principio de Hardy-Weinberg, por permitir determinar con bastante precisión bajo ciertos supuestos que la frecuencia génica en una población no es la esperada, podría ser visto como una versión cuantitativa de la selección natural cualitativa propuesta por Darwin. Es mi intención mostrar, a través del análisis de explicaciones dadas por Darwin, que la selección natural es más (...) que la mera diferencia en el éxito en la reproducción diferencial e investigar algunas relaciones entre la teoría de la selección natural y la genética de poblaciones. (shrink)

“ The Origins of Genome Architecture ” by Michael Lynch (2007) may not immediately sound like a book that someone interested in the philosophy of biology would grab off the shelf. But there are three important reasons why you should read this book. Firstly, if you want to understand biological evolution, you should have at least a passing familiarity with evolutionary change at the level of the genome. This is not to say that everyone interested in evolution should be a (...) geneticist or a bioinformatician, but that a working knowledge of genetic change is an essential part of the intellectual toolkit of modern evolutionary biology, even if your primary focus is the evolution of behaviour or the diversity of communities. Secondly, this book provides excellent examples of another important tool in the biologist’s intellectual toolkit, but one that is rarely explained or illustrated to such an extent: null (or neutral) models. The role null models play in testing hypotheses in evolution is a central focus of this book. Thirdly, as an accomplished work of advocacy for a strictly microevolutionary view of evolution, this book provides grist for the mill for the important debate about whether population genetic processes are the sine qua non of evolutionary explanations. (shrink)

Among philosophers, controversy over the notion of drift in population genetics is ongoing. This is at least partly because the notion of drift has an ambiguous usage among population geneticists. My goal in this paper is to explicate the causal dimension of drift, to say what causal influences are responsible for the stochasticity in population genetics models. It is commonplace for population genetics to oppose the influence of selection to that of drift, and to consider how the dynamics of populations (...) are altered when each has greater or lesser influence. I define the causes that are referred to as drift when researchers speak this way. Introduction Populations and Variant Types The Cause–Effect Ambiguity of Drift Non-directional Factors in Population Genetics How N ev Is Used in Population Genetics Causal Conceptions of Drift 6.1 The Millstein/Beatty conception of drift 6.2 Rosenberg and Bouchard: Drift as initial conditions NINPICs 7.1 Why drift is instituted by NINPICs 7.2 How NINPICS work 7.3 NINPICs and random sampling 7.4 Independent sampling and effective population size 7.5 Variance in progeny number 7.6 Population effects of NINPICs NINPICs and the Stochastic Character of Selection Theory Conclusion Appendix CiteULike Connotea Del.icio.us What's this? (shrink)

A hitherto neglected form of explanation is explored, especially its role in population genetics. “Statistically abstractive explanation” (SA explanation) mandates the suppression of factors probabilistically relevant to an explanandum when these factors are extraneous to the theoretical project being pursued. When these factors are suppressed, the explanandum is rendered uncertain. But this uncertainty traces to the theoretically constrained character of SA explanation, not to any real indeterminacy. Random genetic drift is an artifact of such uncertainty, and it is therefore wrong (...) to reify it as a cause of evolution or as a process in its own right. *Received July 2009. †To contact the author, please write to: Department of Philosophy, University of Toronto, 170 St. George St., Toronto, ON M5R 2M8, Canada; e‐mail: mohan.matthen@utoronto.ca. (shrink)

We have argued elsewhere that: (A) Natural selection is not a cause of evolution. (B) A resolution-of-forces (or vector addition) model does not provide us with a proper understanding of how natural selection combines with other evolutionary influences. These propositions have come in for criticism recently, and here we clarify and defend them. We do so within the broad framework of our own “hierarchical realization model” of how evolutionary influences combine.

Evolutionary biology is a field currently animated by much discussion concerning its conceptual foundations. On the one hand, we have supporters of a classical view of evolutionary theory, whose backbone is provided by population genetics and the so-called Modern Synthesis (MS). On the other hand, a number of researchers are calling for an Extended Synthe- sis (ES) that takes seriously both the limitations of the MS (such as its inability to incorporate developmental biology) and recent empirical and theoretical research on (...) issues such as evolvability, modularity, and self-organization. In this article, I engage in an in-depth commentary of an influential paper by population geneticist Michael Lynch, which I take to be the best defense of the MS-population genetics position published so far. I show why I think that Lynch’s arguments are wanting and propose a modification of evolutionary theory that retains but greatly expands on population genetics. (shrink)

Since the introduction of mathematical population genetics, its machinery has shaped our fundamental understanding of natural selection. Selection is taken to occur when differential fitnesses produce differential rates of reproductive success, where fitnesses are understood as parameters in a population genetics model. To understand selection is to understand what these parameter values measure and how differences in them lead to frequency changes. I argue that this traditional view is mistaken. The descriptions of natural selection rendered by population genetics models are (...) in general neither predictive nor explanatory and introduce avoidable conceptual confusions. I conclude that a correct understanding of natural selection requires explicitly causal models of reproductive success. *Received May 2006; revised December 2006. †To contact the author, please write to: Department of Philosophy, Kansas State University, 201 Dickens Hall, Manhattan, KS 66506; e‐mail: glymour@ksu.edu . (shrink)

Population genetics attempts to measure the influence of the causes of evolution, viz., mutation, migration, natural selection, and random genetic drift, by understanding the way those causes change the genetics of populations. But how does it accomplish this goal? After a short introduction, we begin in section (2) with a brief historical outline of the origins of population genetics. In section (3), we sketch the model theoretic structure of population genetics, providing the flavor of the ways in which population genetics (...) theory might be understood as incorporating causes. In sections (4) and (5) we discuss two specific problems concerning the relationship between population genetics and evolutionary causes, viz., the problem of conceptually distinguishing natural selection from random genetic drift, and the problem of interpreting fitness. In section (6), we briefly discuss the methodology and key epistemological problems faced by population geneticists in uncovering the causes of evolution. Section (7) of the essay contains concluding remarks. (shrink)