Feyerabend is infamous for his defense of pluralism, which he extends to every topic he discusses. Disagreement, a by-product of this pluralism, becomes a sign of flourishing critical communities. In Feyerabend’s political works, he extends this pluralism from science to democratic societies and incorporates his earlier work on scientific methodology into a procedure for designing just policy. However, a description and analysis of Feyerabend’s conception of disagreement is lacking. In this paper, I reconstruct and assess Feyerabend’s conception of disagreement, with (...) a particular emphasis on the role of experts, and its role in the formation of science policy. I go on to assess this argument in light of recent literature on manufactured disagreement on politically contentious science policy. I conclude by suggesting some prospects and problems for de-idealizing Feyerabend’s position on disagreement to see whether it may be plausibly implemented. (shrink)

Offering an engaging and accessible portrait of the current state of the field, Philosophy of Science: A New Introduction shows students how to think philosophically about science and why it is both essential and fascinating to do so. Gillian Barker and Philip Kitcher reconsider the core questions in philosophy of science in light of the multitude of changes that have taken place in the decades since the publication of C.G. Hempel's classic work, Philosophy of Natural Science —both in the field (...) and also in history and sociology of science and the sciences themselves. They explore how philosophical questions are connected to vigorous current debates—including climate change, science and religion, race, intellectual property rights, and medical research priorities—showing how these questions, and philosophers' attempts to answer them, matter in the real world. Featuring numerous illustrative examples and extensive further reading lists, Philosophy of Science: A New Introduction is ideal for courses in philosophy of science, history and philosophy of science, and epistemology/theory of knowledge. It is also compelling and illuminating reading for scientists, science students, and anyone interested in the natural sciences and in their place in global society today. (shrink)

The U.S. scientific community has long led the world in research on such areas as public health, environmental science, and issues affecting quality of life. These scientists have produced landmark studies on the dangers of DDT, tobacco smoke, acid rain, and global warming. But at the same time, a small yet potent subset of this community leads the world in vehement denial of these dangers. -/- Merchants of Doubt tells the story of how a loose-knit group of high-level scientists and (...) scientific advisers, with deep connections in politics and industry, ran effective campaigns to mislead the public and deny well-established scientific knowledge over four decades. Remarkably, the same individuals surface repeatedly-some of the same figures who have claimed that the science of global warming is "not settled" denied the truth of studies linking smoking to lung cancer, coal smoke to acid rain, and CFCs to the ozone hole. "Doubt is our product," wrote one tobacco executive. These "experts" supplied it. -/- Naomi Oreskes and Erik M. Conway, historians of science, roll back the rug on this dark corner of the American scientific community, showing how ideology and corporate interests, aided by a too-compliant media, have skewed public understanding of some of the most pressing issues of our era. (shrink)

The sensitive dependence on initial conditions (SDIC) associated with nonlinear models imposes limitations on the models’ predictive power. We draw attention to an additional limitation than has been underappreciated, namely, structural model error (SME). A model has SME if the model dynamics differ from the dynamics in the target system. If a nonlinear model has only the slightest SME, then its ability to generate decision-relevant predictions is compromised. Given a perfect model, we can take the effects of SDIC into account (...) by substituting probabilistic predictions for point predictions. This route is foreclosed in the case of SME, which puts us in a worse epistemic situation than SDIC. (shrink)