Identified versus Statistical Lives: An Interdisciplinary Perspective (Population-Level Bioethics)

Cohen, I. Glenn

ISBN 10: 0190217472 / ISBN 13: 9780190217471

Published by OUP USA, 2015

About this Item

Human beings show a greater inclination to assist persons identified as being at high risk of great harm than to assist persons who will suffer similar harm but are not identified as yet. Does this effect constitute a virtue, or a vice? What explains the effect? What are the implications for policy? Editor(s): Cohen, I. Glenn; Daniels, Norman; Eyal, Nir. Series: Population-level Bioethics. Num Pages: 240 pages. BIC Classification: HPS; JM; MBDC; MBN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 166 x 245 x 25. Weight in Grams: 460. . 2015. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780190217471

Bibliographic Details

• Title: Identified versus Statistical Lives: An Interdisciplinary Perspective (Population-Level Bioethics)
• Publisher: OUP USA
• Publication Date: 2015
• Language: English
• ISBN 10: 0190217472
• ISBN 13: 9780190217471
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The identified lives effect describes the fact that people demonstrate a stronger inclination to assist persons and groups identified as at high risk of great harm than those who will or already suffer similar harm, but endure unidentified. As a result of this effect, we allocate resources reactively rather than proactively, prioritizing treatment over prevention. For example, during the August 2010 gold mine cave-in in Chile, where ten to twenty million dollars was spent by the Chilean government to rescue the 33 miners trapped underground. Rather than address the many, more cost effective mine safety measures that should have been implemented, the Chilean government and international donors concentrated efforts in large-scale missions that concerned only the specific group. Such bias as illustrated through this incident raises practical and ethical questions that extend to almost every aspect of human life and politics.

What can social and cognitive sciences teach us about the origin and triggers of the effect? Philosophically and ethically, is the effect a "bias" to be eliminated or is it morally justified? What implications does the effect have for health care, law, the environment and other practice domains?
This volume is the first to take an interdisciplinary approach toward answering this issue of identified versus statistical lives by considering a variety of perspectives from psychology, public health, law, ethics, and public policy.

About the Author

I. Glenn Cohen is Professor of Law at Harvard Law School, and Director of the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics.

Norman Daniels Daniels is the Mary B. Saltonstall Professor and Professor of Ethics and Population Health at the Harvard School of Public Health.

Nir Eyal Associate Professor of Global Health and Social Medicine (Medical Ethics) at the Harvard Medical School. He is the co-editor of INEQUALITIES IN HEALTH (OUP, 2013) and the co-editor of the Population-Level Bioethics series.