Evidence and Evolution: The Logic Behind the Science

Description

How should the concept of evidence be understood? And how does the concept of evidence apply to the controversy about creationism as well as to work in evolutionary biology about natural selection and common ancestry? In this rich and wide-ranging book, Elliott Sober investigates general questions about probability and evidence and shows how the answers he develops to those questions apply to the specifics of evolutionary biology. Drawing on a set of fascinating examples, he analyzes whether claims about intelligent design are untestable; whether they are discredited by the fact that many adaptations are imperfect; how evidence bears on whether present species trace back to common ancestors; how hypotheses about natural selection can be tested, and many other issues. His book will interest all readers who want to understand philosophical questions about evidence and evolution, as they arise both in Darwin's work and in contemporary biological research.

Elliott Sober is Hans Reichenbach Professor of Philosophy and William F. Vilas Research Professor at University of Wisconsin-Madison where he has taught since 1974. His research is in philosophy of science, especially in the philosophy of evolutionary biology. Sober's books include The Nature of Selection - Evolutionary Theory in Philosophical Focus (1984), Reconstructing the Past - Parsimony, Evolution, and Inference (1988), Philosophy of Biology (1993), From a Biological Point of View - Essays in Evolutionary Philosophy (1994), and Unto Others - The Evolution and Psychology of Unselfish Behavior (1998), coauthored with David Sloan Wilson.

'Elliott Sober, a philosopher of science at the University of Wisconsin-Madison, has long been a leader in this school [epistemology and ethics], and his latest work, Evidence and Evolution: The Logic Behind the Science, shows why he commands our attention. He is interested in the question of evidence for theories, and he shows through a careful analysis of statistical thinking (particularly Bayesian thinking) how one can make informed decisions about claims made in biology.' Michael Ruse, American Scientist