{"id":2040,"date":"2014-01-09T08:49:47","date_gmt":"2014-01-09T08:49:47","guid":{"rendered":"https:\/\/charisma.local\/charisma2023\/char1smaSSL\/?post_type=markets&p=2040"},"modified":"2014-01-03T15:14:38","modified_gmt":"2014-01-03T15:14:38","slug":"an-award-winning-paper-about-an-average-man","status":"publish","type":"markets","link":"https:\/\/www.journalofculturaleconomy.org\/charisma\/markets\/an-award-winning-paper-about-an-average-man","title":{"rendered":"An award winning paper about an average man"},"content":{"rendered":"

By Martha Poon<\/strong><\/p>\n

It sounds like the beginning of a groan-inducing Dad joke \u2013 What do insurance salesmen, mortgage brokers and Amazon pickers have in common?<\/p>\n

Answer: They all translate the results of data crunching into transactions.<\/p>\n

A business can make lots of one-sided calculations, but it takes something more to get the world to respond to the messages construed by numbers. From targeted data-driven advertising to complex financial structuring, getting numbers to bear out in practice leaves many a professional head-scratching.<\/p>\n

In\u00a0her paper,\u00a0<\/a>\u2018A \u2018good, average man\u2019<\/a>\u2018<\/i>, historical sociologist\u00a0<\/i>Liz McFall\u00a0offers a compelling account of how and when calculation matters in consumer markets.\u00a0McFall\u2019s aim \u201cis to show that mathematical argument, whether competent or incompetent, could never be sufficient by itself to foster […] markets<\/i>\u201d.<\/p>\n

McFall\u00a0demonstrates that for industrial insurance companies to establish mass consumer markets in the nineteenth century, actuaries had to do more than accurately predict population patterns. To transform the numbers into policies, old-fashioned\u00a0actuarial science had to be supported by a fleet of field specialists.\u00a0 This is why\u00a0the insurance industry deployed those\u00a0iconic men<\/a>\u00a0in hats and suits\u00a0who only\u00a0disappeared from the streets of Britain in 2001<\/a>.<\/p>\n

The job of\u00a0the familiar man from the Prudential<\/a>,\u00a0McFall\u00a0explains,\u00a0was to mediate between the statistical predictions of nerdy actuaries and the passions of everyday working class folk who would have to consistently deliver a few pennies per week in premiums for the business to succeed. Door-to-door salesmen and premium collectors brought a statistical concept to life. \u00a0They\u00a0personified the reliable \u2018average man\u2019 upon whom, by emulation, the insurance industry was built.<\/p>\n

McFall\u2019s\u00a0case study has broad implications. She demonstrates that two-dimensional symbolic calculations do not instantly become lived economic realities.<\/p>\n

(The shelvers and pickers who move goods in and out of Amazon\u2019s distribution warehouse<\/a>\u00a0according to the instructions of optimization algorithms are another example of how labor must relentlessly assists helpless calculations, locked in machines, to control three-dimensional systems.)<\/p>\n

Who would have thought the lessons from industrial insurance could be so germane today? For her attentiveness to methodological detail, theoretical robustness and beautiful writing\u00a0McFall\u2018s paper was duly awarded\u00a0The Sociological Review Prize<\/a>\u00a0this May.\u00a0Alongside articles like Mackenzie\u2019s \u2018An equation in its world<\/a>\u2018 (2003) or Callon and Muniesa\u2019s \u2018Economic markets as calculative collective devices<\/a>\u2018 (2005), \u2018A\u00a0\u2019good, average man<\/a>\u201d\u00a0(2011) is essential reading for social scientists interested in how calculation makes markets.<\/p>\n

Acknowledgements<\/strong><\/p>\n

This article was originally posted on Socializing Finance<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

How about this: Martha Poon discusses Charisma co-founder Liz McFall’s award winning paper on Socializing Finance Read More<\/a><\/p>","protected":false},"author":3,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[1,15],"tags":[781,263,32,768,782],"class_list":["post-2040","markets","type-markets","status-publish","hentry","category-all","category-announcements","tag-average-man","tag-insurance","tag-liz-mcfall","tag-martha-poon","tag-sociological-review"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/markets\/2040","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/markets"}],"about":[{"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/types\/markets"}],"author":[{"embeddable":true,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/comments?post=2040"}],"version-history":[{"count":1,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/markets\/2040\/revisions"}],"predecessor-version":[{"id":2041,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/markets\/2040\/revisions\/2041"}],"wp:attachment":[{"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/media?parent=2040"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/categories?post=2040"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.journalofculturaleconomy.org\/charisma\/wp-json\/wp\/v2\/tags?post=2040"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}