Ranging from ancient Greek thought to contemporary quantum mechanics, Mastery of Nature investigates to what extent nature can be conquered to further human ends and to what extent such mastery is compatible with human flourishing.

The development of genomic technologies has seemed almost magical. Excitement about it, both in medicine and among the public, stems from the belief that genomic techniques will illuminate the causes of health and disease, will lead to effective interventions for both rare and common genetic conditions, and will inform reproductive decision‐making. Novel diagnostic tools, however, are often deployed before targeted therapies are developed, tested, or available and before their psychosocial implications are explored. Newer technologies such as prenatal whole exome screening (...) are seen as offering “decisional autonomy” to expectant parents, although such technologies identify information about genetic sequencing that may not have clear meaning. The “therapeutic gap” between the ability to conduct genetic sequencing and the ability to fully understand what the test results mean, much less what treatments to offer, leaves families with complex and unclear information they cannot act upon with confidence during pregnancy. In this essay, we will consider the psychosocial and ethical implications of such assumptions—and of the uncertain information produced by these technologies—for individuals and families and for societal aspects such as medical service usage and demographic inequities. (shrink)

Semantics of Detachment A Review of Burkhard Hasebrink, Susanne Bernhardt, and Imke Früh, eds., Semantik der Gelassenheit: Generierung, Etablierung, Transformation [Semantics of detachment: Formation, establishment, transformation] Silke Schwandt Beyond the Untranslatability of Concepts A Review of Martin J. Burke and Melvin Richter, eds., Why Concepts Matter: Translating Social and Political Thought László Kontler Emotional Modernities A Review of Ute Frevert, Monique Scheer, Anne Schmidt, Pascal Eitler, Bettina Hitzer, Nina Verheyen, Benno Gammerl, Christian Bailey, and Margrit Pernau, Gefühlswissen: Eine lexikalische (...) Spurensuche in der Moderne [Emotional knowledge: In search of lexical clues in modernity] Anu Korhonen Beyond Peace as a Process A Review of Julia Harfensteller, The United Nations and Peace: The Evolution of an Organizational Concept Marie-Christine Boilard Human Rights as Conceptual History A Review of Stefan-Ludwig Hoffmann, ed., Human Rights in the Twentieth Century Johan Strang. (shrink)

Claire Katz & Lara Trout, Emmanuel Levinas. Critical Assessments of Leading Philosophers ; Thomas Bedorf, Andreas Cremonini, Verfehlte Begegnung. Levinas und Sartre als philosophische Zeitgenossen ; Samuel Moyn, Origins of the Other: Emmanuel Levinas between Revelation and Ethics ; Pascal Delhom & Alfred Hirsch, Im Angesicht der Anderen. Levinas’ Philosophie des Politischen ; Sharon Todd, Learning from the other: Levinas, psychoanalysis and ethical possibilities in education ; Michel Henry, Le bonheur de Spinoza, suivi de: Etude sur le spinozisme de (...) Michel Henry, par Jean-Michel Longneaux ; Jean-François Lavigne, Husserl et la naissance de la phénoménologie. Des Recherches logiques aux Ideen: la genèse de l’idéalisme transcendantal phénoménologique ; Denis Seron, Objet et signification ; Dan Zahavi, Sara Heinämaa and Hans Ruin, Metaphysics, Facticity, Interpretation. Phenomenology in The Nordic Countries ; Dimitri Ginev, Entre anthropologie et herméneutique ; Magdalena Mărculescu-Cojocea, Critica metafizicii la Kant şi Heidegger. Problema subiectivităţii: raţiunea între autonomie şi deconstrucţie. (shrink)

We present a matrix model for the study of the population dynamics of brown trout Salmo trutta L., introduced in the '60s in the virgin aquatic ecosystems of the Kerguelen Islands. This species clearly acclimatized very well: a portion of the population became migratory and spent a part of its life cycle in the sea, which allowed the rapid colonization of two rivers close to the stream of origin in the same bay (Baie Norvégienne).These migratory trout can become (...) a smolt at 2, 3, or 4 years of age. The model takes into account age and smolt age structures and in a first step considers the fish from the Baie Norvégienne as belonging to a single population. The transition matrix looks like a 32 × 32 Leslie matrix in which some survival rates are not on the subdiagonal. They represent survival after the first sea migration and are particularly important for the dynamics of the whole population. (shrink)

Bishop and Trout here present a unique and provocative new approach to epistemology. Their approach aims to liberate epistemology from the scholastic debates of standard analytic epistemology, and treat it as a branch of the philosophy of science. The approach is novel in its use of cost-benefit analysis to guide people facing real reasoning problems and in its framework for resolving normative disputes in psychology. Based on empirical data, Bishop and Trout show how people can improve their reasoning (...) by relying on Statistical Prediction Rules. They then develop and articulate the positive core of the book. Their view, Strategic Reliabilism, claims that epistemic excellence consists in the efficient allocation of cognitive resources to reliable reasoning strategies, applied to significant problems. The last third of the book develops the implications of this view for standard analytic epistemology; for resolving normative disputes in psychology; and for offering practical, concrete advice on how this theory can improve real people's reasoning. This is a truly distinctive and controversial work that spans many disciplines and will speak to an unusually diverse group, including people in epistemology, philosophy of science, decision theory, cognitive and clinical psychology, and ethics and public policy. (shrink)

The more than 40 readings in this anthology cover the most important developments of the past six decades, charting the rise and decline of logical positivism ...

Scientists and laypeople alike use the sense of understanding that an explanation conveys as a cue to good or correct explanation. Although the occurrence of this sense or feeling of understanding is neither necessary nor sufficient for good explanation, it does drive judgments of the plausibility and, ultimately, the acceptability, of an explanation. This paper presents evidence that the sense of understanding is in part the routine consequence of two well-documented biases in cognitive psychology: overconfidence and hindsight. In light of (...) the prevalence of counterfeit understanding in the history of science, I argue that many forms of cognitive achievement do not involve a sense of understanding, and that only the truth or accuracy of an explanation make the sense of understanding a valid cue to genuine understanding. (shrink)

(2002). Philosophy of Science 72 (January), 198-208.

Philosophers agree that scientific explanations aim to produce understanding, and that good ones succeed in this aim. But few seriously consider what understanding is, or what the cues are when we have it. If it is a psychological state or process, describing its specific nature is the job of psychological theorizing. This article examines the role of understanding in scientific explanation. It warns that the seductive, phenomenological sense of understanding is often, but mistakenly, viewed as a cue of genuine understanding. (...) The article closes with a discussion of several new paths of research that tie the psychology of scientific explanation to cognate notions of learning, testimony, and understanding. (shrink)

Scientific realism has been advanced as an interpretation of the natural sciences but never the behavioral sciences. This book introduces a novel version of scientific realism, Measured Realism, that characterizes the kind of theoretical progress in the social and psychological sciences that is uneven but indisputable. It proposes a theory of measurement, Population-Guided Estimation, that connects natural, psychological, and social scientific inquiry. Presenting quantitative methods in the behavioral sciences as at once successful and regulated by the world, the book will (...) engage philosophers of science, historians of science, sociologists of science, and scientists interested in the foundations of their own disciplines. Part I introduces measured realism beginning with a novel realist theory of measurement (Population-Guided Estimation, or PGE). It examines two other versions of scientific realism — minimal (Hacking) and robust (Boyd, Putnam, and Newton-Smith) — and advances measured realism as best supported by the evidence in the behavioral sciences. It also critically evaluates the anti-realist arguments of van Fraassen, Laudan, and Fine. Part II formulates and develops a version of epistemological naturalism most appropriate to measured realism. Drawing upon the realist theory of measurement developed earlier, it favorably appraises a variety of statistical methods in the behavioral sciences against selected criticisms. It concludes that traditional, narrative methods in the behavioral and social sciences are unreliable by the measures of epistemological naturalism. (shrink)

A fresh, daring, and genuine alternative to the traditional story of scientific progress Explaining the world around us, and the life within it, is one of the most uniquely human drives, and the most celebrated activity of science. Good explanations are what provide accurate causal accounts of the things we wonder at, but explanation's earthly origins haven't grounded it: we have used it to account for the grandest and most wondrous mysteries in the natural world. Explanations give us a sense (...) of understanding, but an explanation that feels right doesn't mean it is true. For every true explanation, there is a false one that feels just as good. A good theory's explanations, though, have a much easier path to truth. This push for good explanations elevated science from medieval alchemy to electro-chemistry, or a pre-inertial physics to the forces underlying nanoparticles. And though the attempt to explain has existed as long as we have been able to wonder, a science timeline from pre-history to the present will reveal a steep curve of theoretical discovery that explodes around 1600, primarily in the West. Ranging over neuroscience, psychology, history, and policy, Wondrous Truths answers two fundamental questions-Why did science progress in the West? And why so quickly? J.D. Trout's answers are surprising. His central idea is that Western science rose above all others because it hit upon successive theories that were approximately true through an awkward assortment of accident and luck, geography and personal idiosyncrasy. Of course, intellectual ingenuity partially accounts for this persistent drive forward. But so too does the persistence of the objects of wonder. Wondrous Truths recovers the majesty of science, and provides a startling new look at the grand sweep of its biggest ideas. (shrink)

Recently, Rueger and Sharp (1996) and Koperski (1998) have been concerned to show that certain procedural accounts of model confirmation are compromised by non-linear dynamics. We suggest that the issues raised are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. We provide a framework and an example of this approach.

Standard Analytic Epistemology (SAE) names a contingently clustered class of methods and theses that have dominated English-speaking epistemology for about the past half-century. The major contemporary theories of SAE include versions of foundationalism, coherentism, reliabilism, and contextualism. While proponents of SAE don’t agree about how to define naturalized epistemology, most agree that a thoroughgoing naturalism in epistemology can’t work. For the purposes of this paper, we will suppose that a naturalistic theory of epistemology takes as its core, as its starting-point, (...) an empirical theory. The standard argument against naturalistic approaches to epistemology is that empirical theories are essentially descriptive, while epistemology is essentially prescriptive, and a descriptive theory cannot yield normative, evaluative prescriptions. In short, naturalistic theories cannot overcome the is-ought divide. Our main goal in this paper is to show that the standard argument against naturalized epistemology has it almost exactly backwards. (shrink)

Our aim in this paper is to bring the woefully neglected literature on predictive modeling to bear on some central questions in the philosophy of science. The lesson of this literature is straightforward: For a very wide range of prediction problems, statistical prediction rules (SPRs), often rules that are very easy to implement, make predictions than are as reliable as, and typically more reliable than, human experts. We will argue that the success of SPRs forces us to reconsider our views (...) about what is involved in understanding, explanation, good reasoning, and about how we ought to do philosophy of science. (shrink)

Scientific realism is usually a thesis or theses advanced about our best natural science. In contrast, this book defends scientific realism applied to the social and behavioral sciences. It does so, however, by applying the same argument strategy that many have found convincing for the natural sciences, namely, by arguing that we can only explain the success of the sciences by postulating their approximate truth. The particular success that Trout emphasizes for the social sciences is the effective use of (...) statistical testing. Social scientists apply diverse statistical measurement tools to social reality; they are able to refine and improve those measurements over time. The best explanation for such success is that the social sciences give us an approximately true account of some of the laws and entities of the social world. (shrink)