The investigation of probabilistic causality has been plagued by a variety of misconceptions and misunderstandings. One has been the thought that the aim of the probabilistic account of causality is the reduction of causal claims to probabilistic claims. Nancy Cartwright (1979) has clearly rebutted that idea. Another ill-conceived idea continues to haunt the debate, namely the idea that contextual unanimity can do the work of objective homogeneity. It cannot. We argue that only objective homogeneity in combination with a causal interpretation of Bayesian networks can provide the desired criterion of probabilistic causality.

Rational addiction theories illustrate how absurd choice theories in economics get taken seriously as possibly true explanations and tools for welfare analysis despite being poorly interpreted, empirically unfalsifiable, and based on wildly inaccurate assumptions selectively justified by ad-hoc stories. The lack of transparency introduced by poorly anchored mathematical models, the psychological persuasiveness of stories, and the way the profession neglects relevant issues are suggested as explanations for how what we perhaps should see as displays of technical skill and ingenuity are allowed to blur the lines between science and games.

The paper presents a simulation of the dynamics of impersonal trust. It shows how a “trust and reciprocate” norm can emerge and stabilize in populations of conditional cooperators. The norm, or behavioral regularity, is not to be identified with a single strategy. It is instead supported by several conditional strategies that vary in the frequency and intensity of sanctions.

The no-miracles argument and the pessimistic induction are arguably the main considerations for and against scientific realism. Recently these arguments have been accused of embodying a familiar, seductive fallacy. In each case, we are tricked by a base rate fallacy, one much-discussed in the psychological literature. In this paper we consider this accusation and use it as an explanation for why the two most prominent ‘wholesale’ arguments in the literature seem irresolvable. Framed probabilistically, we can see very clearly why realists and anti-realists have been talking past one another. We then formulate a dilemma for advocates of either argument, answer potential objections to our criticism, discuss what remains (if anything) of these two major arguments, and then speculate about a future philosophy of science freed from these two arguments. In so doing, we connect the point about base rates to the wholesale/retail distinction; we believe it hints at an answer of how to distinguish profitable from unprofitable realism debates. In short, we offer a probabilistic analysis of the feeling of ennui afflicting contemporary philosophy of science.

The aim of this paper is twofold: first to sketch a framework for classifying a wide range of conceptions of scientific objectivity and second to present and defend a conception of scientific objectivity that fills a neglected niche in the resulting hierarchy of viewpoints. Roughly speaking, the proposed ideal of scientific objectivity is effectiveness in the informal but technical sense of an effective method. Science progresses when “higher levels of communicative discourse” are reached by transforming subjective judgments regarding the generation and reduction of data or the testing of theories into objective decision procedures that are automatic or mechanical.

Various systems that learn are examined to show how content is carried in connections installed by a learning history. Agents do not explicitly use the content of such states in practical reasoning, yet the content plays an important role in explaining behavior, and the physical state carrying that content plays a role in causing behavior, given other occurrent beliefs and desires. This leads to an understanding of the environmental reasons which are the determinate content of these states, and leads to a better grasp of how representational content can be carried by systems without an explicit representation.

The evolution of the myxoma virus in Australia has been presented for many years as a test case for the hypothesis that group selection can function effectively ‘in the wild.’ This paper critically examines the myxoma case, and argues that its failure as a test case for this hypothesis has broader implications for debates over the levels of selection.

Hilary Putnam's The Collapse of the Fact/Value Dichotomy and Other Essays serves as his latest installment attempting to detail some of the historical background and recent controversies over the so-called fact/value distinction. In it, Putnam claims that the positivists' influence led to an inflated dichotomy, rather than distinction, between descriptive sentences and evaluative sentences. He argues that such a dichotomy is unwarranted through a number of arguments intended to show that attempts to “disentangle” facts from values always fail. However, in the process Putnam overlooks a number of interesting motives underlying the positivist movement, and disregards a now-enormous body of literature in the philosophy of science on descriptive and evaluative statements. Hence, his attempt, towards the end of the collection, to construct a viable philosophy of language that can support the dichotomy's collapse and an ethical theory that can support his discussion of the dichotomy's collapse appears somewhat weak. Nevertheless, Putnam engages his philosophical discussion with contemporary economic theory in order to motivate his central claim: that taking a somewhat interesting distinction between facts and values and inflating it into a dichotomy can, and often does, lead to disastrous policy decisions. Thus, the collection shines by highlighting real-world, practical and ethical consequences of certain philosophical and theoretical commitments.