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Identified versus Statistical LivesAn Interdisciplinary Perspective$
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I. Glenn Cohen, Norman Daniels, and Nir Eyal

Print publication date: 2015

Print ISBN-13: 9780190217471

Published to Oxford Scholarship Online: April 2015

DOI: 10.1093/acprof:oso/9780190217471.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 22 January 2022

Statistical versus Identified Persons

Statistical versus Identified Persons

An Introduction

(p.1) Statistical versus Identified Persons
Identified versus Statistical Lives

I. Glenn Cohen

Norman Daniels

Nir Eyal

Oxford University Press

This chapter introduces the central topic of the book. The identified lives effect refers to the greater inclination to assist (and avoid harming) persons and groups identified as those at high risk of great harm rather than to assist (and avoid harming) persons and groups who will suffer (or already suffer) similar harm but are not identified (as yet). It then demarcates and explains the three central groups of questions covered by this book: (1) When precisely does the identified person bias arise? And what exactly does it consist in? (2) What, if anything, might normatively justify giving priority to identified persons at risk? (3) What would be the practical implications for law, public health, medicine, and the environment of accepting the priority given to identified persons, or of forsaking it—if we could successfully do so? Finally, it introduces each of the chapters.

Keywords:   identified lives, bias, harm, social science, law, public health, environment, normative, bioethics

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