The pitfalls of using ancient population, army and casualty data without expert curation - A review of Oka et al. 2017

Journal article


Keenan-Jones, Duncan and Hebblewhite, Mark Kenneth. (2019). The pitfalls of using ancient population, army and casualty data without expert curation - A review of Oka et al. 2017. Cliodynamics : the journal of quantitative history and cultural evolution. 10(1), pp. 54-66. https://doi.org/10.21237/C7clio10142345
AuthorsKeenan-Jones, Duncan and Hebblewhite, Mark Kenneth
Abstract

The historical turn in the social sciences has been neglected by historians. This has caused social scientists to use much data which has not been curated by experts focused on the relevant time periods and geographic locations. A recent article by Oka et al. investigating the important question of historical trends in violence is a good example. A detailed survey of Oka et al.’s Persian, Greek and Roman population, army size and casualty data reveals several problems. The uncertainty in ancient data, especially casualty figures, has been underappreciated by Oka et al. In population and army size data, some speculative and dependent data points have been treated as independent. There are also inconsistencies in the data and some inflated figures. The situation is worse for the ancient army size and casualty figures for individual battles used by Oka et al., which suffer from systematic biases designed to magnify the achievements of the historian's own culture. This is clearly illustrated by the main battles of Alexander the Great against the Persians, in which Alexander's forces, although greatly outnumbered, are supposed to have inflicted hundreds or thousands of times more casualties that they sustained. These issues demonstrate the importance of curation of such data by scholars focused on the relevant time periods and cultures, and we recommend that historians become actively involved in such research.

Keywordssocial sciences; violence; casulties; ancient history; warfare; data; Alexander the Great; population
Year01 Jan 2019
JournalCliodynamics : the journal of quantitative history and cultural evolution
Journal citation10 (1), pp. 54-66
PublishereScholarship
ISSN2373-7530
Digital Object Identifier (DOI)https://doi.org/10.21237/C7clio10142345
Web address (URL)https://escholarship.org/uc/item/3x5411p8#main
Open accessOpen access
Research or scholarlyResearch
Page range54-66
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Open
Output statusPublished
Publication dates
Print2019
Publication process dates
Deposited22 Nov 2024
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© 2019 by the author(s).

Place of publicationUnited States
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