9780691208411-0691208417-Trust in Numbers: The Pursuit of Objectivity in Science and Public Life

Trust in Numbers: The Pursuit of Objectivity in Science and Public Life

ISBN-13: 9780691208411
ISBN-10: 0691208417
Edition: New
Author: Theodore M. Porter
Publication date: 2020
Publisher: Princeton University Press
Format: Paperback 336 pages
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ISBN-13: 9780691208411
ISBN-10: 0691208417
Edition: New
Author: Theodore M. Porter
Publication date: 2020
Publisher: Princeton University Press
Format: Paperback 336 pages

Summary

Trust in Numbers: The Pursuit of Objectivity in Science and Public Life (ISBN-13: 9780691208411 and ISBN-10: 0691208417), written by authors Theodore M. Porter, was published by Princeton University Press in 2020. With an overall rating of 3.5 stars, it's a notable title among other History & Philosophy books. You can easily purchase or rent Trust in Numbers: The Pursuit of Objectivity in Science and Public Life (Paperback) from BooksRun, along with many other new and used History & Philosophy books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $7.82.

Description

A foundational work on historical and social studies of quantification
What accounts for the prestige of quantitative methods? The usual answer is that quantification is desirable in social investigation as a result of its successes in science. Trust in Numbers questions whether such success in the study of stars, molecules, or cells should be an attractive model for research on human societies, and examines why the natural sciences are highly quantitative in the first place. Theodore Porter argues that a better understanding of the attractions of quantification in business, government, and social research brings a fresh perspective to its role in psychology, physics, and medicine. Quantitative rigor is not inherent in science but arises from political and social pressures, and objectivity derives its impetus from cultural contexts. In a new preface, the author sheds light on the current infatuation with quantitative methods, particularly at the intersection of science and bureaucracy.

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