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Killer Data - Modern Perspectives on Serial Murder (Paperback, 3rd Edition) Loot Price: R1,272
Discovery Miles 12 720

Killer Data - Modern Perspectives on Serial Murder (Paperback, 3rd Edition)

Eric Hickey; Enzo Yaksic

Series: Routledge Studies in Criminal Behaviour

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Loot Price R1,272 Discovery Miles 12 720 | Repayment Terms: R119 pm x 12*

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Killer Data examines the phenomenon of serial murder using data collected from international sources to review offender patterning with a focus on contemporary cases. This type of attention will allow for a broader understanding of modern-day serial murderers and will help to dispel some of the myths that surround offenders.

 The current serial murder classification scheme incorrectly types serial murderers as supremely intelligent killing machines while discounting their socialization, experiences, and choices. This book exposes serial murderers as run-of-the-mill hometown losers, who brutalize women, and are lucky to escape apprehension. Like other atypical homicide offenders, modern-day serial murderers are propelled forward by a deep sense of entitlement, easy access to firearms, and a nonchalant attitude toward using murder to attain their goals. Readers should come away with a deeper understanding not of the ultra-rare or the "deadliest" serial murderers but of the more common offenders who pose a consistent threat to day-to-day life. The book utilizes the Consolidated Serial Homicide Offender Database, one of the largest and most robust open access databases of multiple murders available, presenting new thinking on areas such as:

myths and stereotypes

the impact of entertainment on the perception of serial murder

inaccurate prevalence estimates

spree/serial hybrid offenders

the classification of two and three victim serial murderers

how serial murderers pursue longevity

the characteristics of aspiring serial murderers

whether hit men and gang members are serial murderers

if and why serial murder is in a state of decline

how many serial murderers are responsible for the homicides that sent innocent people to prison

luck as a factor of “success” for serial murderers.

These findings are illustrated with 200 narrative vignettes of serial murder series that occurred between 2011 and 2021, such as Itzcoatl Ocampo, Charles Severance, Nikko Jenkins, and Pamela Hupp, offenders who may be unfamiliar to many but represent the next iteration of the serial murderer.

 Correcting decades of flawed assumptions about serial murderers, and written in an accessible and concise style, Killer Data is essential reading for students and scholars of criminal justice and criminology, law enforcement professionals, and the interested general reader.

Table of Contents

List of Tables

List of Figures

Foreword

Preface

Acknowledgments

1: Serial Murder: Then and Now

Introduction

2: What Do We Know About Serial Murder and How Do We Know It?

3: Serial Murder: 2011 – 2021

4: An Overview of the Modern Serial Murderer

5: Concluding Thoughts

Index/

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Routledge Studies in Criminal Behaviour
Release date: April 2022
First published: 2022
Foreword by: Eric Hickey
Authors: Enzo Yaksic
Dimensions: 234 x 156 x 18mm (L x W x T)
Format: Paperback
Pages: 160
Edition: 3rd Edition
ISBN-13: 978-0-367-67270-6
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Social sciences > Psychology > Social, group or collective psychology
Books > Law > Jurisprudence & general issues > General
Books > Law > Laws of other jurisdictions & general law > Criminal law
Books > Social sciences > Sociology, social studies > Social institutions > General
Books > Social sciences > Sociology, social studies > Crime & criminology > General
Books > Social sciences > Psychology > Philosophy & theory of psychology > General
Books > Social sciences > Psychology > Psychological methodology > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 0-367-67270-7
Barcode: 9780367672706

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