{"title":"Lies, Damned Lies, and (Bourgeois) Statistics: Ascertaining Social Fact in Midcentury China and the Soviet Union","authors":"Arunabha Ghosh","doi":"10.1086/699237","DOIUrl":null,"url":null,"abstract":"Is there a correct way to ascertain social fact? As late as the 1950s, the scientific community remained divided over this question. Its resolution involved not just epistemological and theoretical debates on the unity or disunity of statistical science but also practical considerations surrounding state-capacity building. For scientists in places like the People’s Republic of China (PRC) and the Soviet Union, at stake was the very ability to realize the kind of planned economic growth that socialist countries idealized. The solution they chose reformulated statistics explicitly as a social science, salvaging it from what they then dismissed as the tainted, bourgeois, and socially unproductive pursuit of mathematical statistics. This distinction—most tangibly understood as the rejection of all probabilistic methods—had implications for both the ways in which data was collected and the ways in which it was analyzed.","PeriodicalId":54659,"journal":{"name":"Osiris","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1086/699237","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osiris","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1086/699237","RegionNum":3,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HISTORY & PHILOSOPHY OF SCIENCE","Score":null,"Total":0}
引用次数: 3
Abstract
Is there a correct way to ascertain social fact? As late as the 1950s, the scientific community remained divided over this question. Its resolution involved not just epistemological and theoretical debates on the unity or disunity of statistical science but also practical considerations surrounding state-capacity building. For scientists in places like the People’s Republic of China (PRC) and the Soviet Union, at stake was the very ability to realize the kind of planned economic growth that socialist countries idealized. The solution they chose reformulated statistics explicitly as a social science, salvaging it from what they then dismissed as the tainted, bourgeois, and socially unproductive pursuit of mathematical statistics. This distinction—most tangibly understood as the rejection of all probabilistic methods—had implications for both the ways in which data was collected and the ways in which it was analyzed.
期刊介绍:
Founded in 1936 by George Sarton, and relaunched by the History of Science Society in 1985, Osiris is an annual thematic journal that highlights research on significant themes in the history of science. Recent volumes have included Scientific Masculinities, History of Science and the Emotions, and Data Histories.