This book develops an original theory of decision-making based on the concept of plausibility. The author advocates plausible reasoning as a general philosophical method and demonstrates how it can be applied to problems in argumentation theory, scientific theory choice, risk management, ethics, law, economics, and epistemology. Human decisions are conditioned by formidable uncertainty. The standard resource for dealing rationally with uncertainty is the mathematical concept of probability. The probability calculus is well-known, but since the numerical demands for applying it cannot usually be met, it is not widely applicable. By contrast, the concept of plausibility is widely applicable, but it is little known. This book relies on a generalized concept of plausibility whose strength is its adaptability. The adaptability is due to a novel form of decision theory that takes plausibilities as inputs. This form of decision theory remains applicable to decisions informed by sharp probabilities and utilities, but it can also be applied to decisions that must be made without them. It can aid in the rationally critical enterprise of discriminating good arguments from bad, and this can foster philosophical progress. A Plea for Plausibility will be of interest to scholars and advanced students working in argumentation theory, philosophy of science, ethics, epistemology, economics, law, and risk management.

Covering a topic applicable to fields ranging from education to health care to psychology, this book provides a broad critical analysis of the assumptions that researchers and practitioners have about causation and explains how readers can improve their thinking about causation. In virtually every laboratory, research center, or classroom focused on the social or physical sciences today, the concept of causation is a core issue to be questioned, tested, and determined. Even debates in unrelated areas such as biology, law, and philosophy often focus on causality—"What made that happen?" In this book, experts from across disciplines adopt a reader-friendly approach to reconsider this age-old question in a modern light, defining different kinds of causation and examining how causes and consequences are framed and approached in a particular field. Each chapter uses applied examples to illustrate key points in an accessible manner. The contributors to this work supply a coherent critical analysis of the assumptions researchers and practitioners hold about causation, and explain how such thinking about causation can be improved. Collectively, the coverage is broad, providing readers with a fuller picture of research in social contexts. Beyond providing insightful description and thought-provoking questioning of causation in different research areas, the book applies analysis of data in order to point the way to smarter, more efficient practices. Consequently, both practitioners and researchers will benefit from this book.