front cover of As If
As If
Idealization and Ideals
Kwame Anthony Appiah
Harvard University Press, 2017

“Appiah is a writer and thinker of remarkable range… [He] has packed into this short book an impressive amount of original reflection… A rich and illuminating book.”
—Thomas Nagel, New York Review of Books

Idealization is a fundamental feature of human thought. We build simplified models to make sense of the world, and life is a constant adjustment between the models we make and the realities we encounter. Our beliefs, desires, and sense of justice are bound up with these ideals, and we proceed “as if” our representations were true, while knowing they are not. In this elegant and original meditation, Kwame Anthony Appiah suggests that this instinct to idealize is not dangerous or distracting so much as it is necessary. As If explores how strategic untruth plays a critical role in far-flung areas of inquiry: decision theory, psychology, natural science, and political philosophy. A polymath who writes with mainstream clarity, Appiah defends the centrality of the imagination not just in the arts but in science, morality, and everyday life.

“Appiah is the rare public intellectual who is also a first-rate analytic philosopher, and the characteristic virtues associated with each of these identities are very much in evidence throughout the book.”
—Thomas Kelly, Notre Dame Philosophical Reviews

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front cover of Idealization and the Aims of Science
Idealization and the Aims of Science
Angela Potochnik
University of Chicago Press, 2017
Science is the study of our world, as it is in its messy reality. Nonetheless, science requires idealization to function—if we are to attempt to understand the world, we have to find ways to reduce its complexity.
 
Idealization and the Aims of Science shows just how crucial idealization is to science and why it matters. Beginning with the acknowledgment of our status as limited human agents trying to make sense of an exceedingly complex world, Angela Potochnik moves on to explain how science aims to depict and make use of causal patterns—a project that makes essential use of idealization. She offers case studies from a number of branches of science to demonstrate the ubiquity of idealization, shows how causal patterns are used to develop scientific explanations, and describes how the necessarily imperfect connection between science and truth leads to researchers’ values influencing their findings. The resulting book is a tour de force, a synthesis of the study of idealization that also offers countless new insights and avenues for future exploration.
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