To die or to kill?: An analysis of suicide attack lethality
Those who study terrorism are familiar with the claim that suicide attacks are the most lethal form of terrorism today. Suicide attacks kill more people on average than non-suicide attacks, thereby justifying why terrorist organizations use this costly method of attack and explaining in part why sui...
| Main Author: | |
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| Format: | Electronic Article |
| Language: | English |
| Published: |
2019
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| In: |
Terrorism and political violence
Year: 2019, Volume: 31, Issue: 2, Pages: 346-366 |
| Online Access: |
Volltext (Resolving-System) Volltext (Verlag) |
| Journals Online & Print: | Drawer...
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| Check availability: | HBZ Gateway |
| Keywords: |
| Summary: | Those who study terrorism are familiar with the claim that suicide attacks are the most lethal form of terrorism today. Suicide attacks kill more people on average than non-suicide attacks, thereby justifying why terrorist organizations use this costly method of attack and explaining in part why suicide tactics have proliferated. However, extant empirical support for this claim is largely insufficient, focusing only on macro-level analysis of lethality data. Using data from the Global Terrorism Database, this study examines variation in lethality among suicide and non-suicide attacks based on geographic location, attack type, and target/victim type. It also introduces a new metric—the lethality ratio—to measure costs and benefits of attacks in terms of lives lost. It finds that, although suicide tactics are generally more lethal than non-suicide tactics, they also come at greater costs to the organization. This analysis also finds behavior that is inconsistent with the premise that terrorist groups are focused on maximizing lethality while reducing costs in all cases; that despite certain advantages, suicide attacks may remain a suboptimal tactic from the perspective of the terrorist group; and that additional criteria may help explain why suicide tactics are used. |
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| Item Description: | Gesehen am 14.11.2023 Published online: 13 Oct 2016 |
| ISSN: | 1556-1836 |
| DOI: | 10.1080/09546553.2016.1228632 |