Poor Numbers: Statistical Chains and the Political Economy of Numbers

Agnès Labrousse
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Abstract

Morten Jerven's Poor Numbers sheds light on the acute fragility of African statistics, itself linked to the precarious conditions in which aggregates are produced. As patchy and problematic as they are, these numbers are nevertheless ubiquitous as instruments of proof and tools of government. Quantified fictions take shape in complex statistical chains that stretch from their producers to the economists who use them, and are mediated by international organizations. Focusing on the criterion of accuracy, Poor Numbers powerfully conveys its message of “garbage in, garbage out,” but leaves important questions related to the relevance of statistics unanswered. The history, sociology, and political economy of numbers sketched by Jerven merit closer consideration with a view to the following: identifying the connections between evolving state forms and the development of statistics; establishing a historical ethnography of the organizations that produce and use numbers; understanding the growing role of multinationals in the political economy of statistics; taking a less conciliatory view of the involvement of international organizations; and, last but not least, denaturalizing the dominant economic categories by integrating the plurality of economic approaches to statistics. The article concludes with a call for a comparative political economy of numbers that would no longer consider the African case in isolation, and would work against the idea that Africa has not entered statistical history, or has only done so “by mistake.”
贫穷的数字:统计链和数字的政治经济学
Morten Jerven的《糟糕的数字》揭示了非洲统计数据的极度脆弱性,这本身就与汇总数据的不稳定条件有关。尽管这些数字参差不齐且存在问题,但它们作为证明工具和政府工具却无处不在。量化虚构在复杂的统计链中形成,从生产者延伸到使用它们的经济学家,并由国际组织调解。《穷数字》专注于准确性的标准,有力地传达了“垃圾进,垃圾出”的信息,但没有回答与统计相关性相关的重要问题。Jerven所概述的数字的历史、社会学和政治经济学值得我们从以下几个方面进行更深入的思考:确定不断演变的国家形式与统计发展之间的联系;建立生产和使用数字的组织的历史民族志;了解跨国公司在统计政治经济学中日益重要的作用;对国际组织的参与持不那么和解的看法;最后但并非最不重要的是,通过将多种经济方法整合到统计中,使占主导地位的经济类别变性。文章最后呼吁建立一种数字的比较政治经济学,不再孤立地考虑非洲的情况,并反对非洲没有进入统计历史,或者只是“错误地”进入统计历史的观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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