Goodhart's Law is one of those neat formulations that codifies something I've been trying to put my finger on for years: "once a social or economic indicator or other surrogate measure is made a target for the purpose of conducting social or economic policy, then it will lose the information content that would qualify it to play such a role."
That is, once you start measuring GDP as a way of gauging social welfare, people will start to figure out ways to make GDP go up without improving social welfare (say, by swapping dirty financial derivatives). Once Google starts measuring inbound links as a way of evaluating the importance of web-pages, people will figure out how to increase the inbound links to unimportant pages (splogging, blogspam). And once you measure fat or calorie content as a proxy for the healthfulness of food, manufacturers will figure out how to decrease fat and calories without making the food more healthful (reducing fat by adding sugar, reducing calories by adding poisonous artificial sweeteners).
The law was first stated in a 1975 paper by Goodhart and gained popularity in the context of the attempt by the United Kingdom government of Margaret Thatcher to conduct monetary policy on the basis of targets for broad and narrow money, but the idea is considerably older. It is implicit in the economic idea of rational expectations. While it originated in the context of market responses the Law has profound implications for the selection of high-level targets in organisations.
Before being convicted of felony securities fraud, smirking cartoon villain pharma-douche-bro Martin Shkreli had to be tried in front of a jury and this presented a unique problem because everyone hates Martin Shkreli, and thus more than 100 jurors were dismissed from the pool during pre-trial questioning. Here are some of the statements that led […]
Stanford’s Center for Research on Education Outcomes released this study in 2015, comparing the outcomes for students enrolled in online charter schools with comparable students (controlled for grade level, gender, race/ethnicity, free lunch eligibility, English language status, special ed status and historical state achievement test scores) in brick-and-mortar classrooms.
The World Wealth and Inequality project’s latest white-paper, co-authored by Thomas “Capital in the 21st Century” Piketty, painstaking pieces together fragmentary data-sources to build up a detailed picture of wealth inequality in Russia in the pre-revolutionary period; during phases of the Soviet era; on the eve of the collapse of the USSR; and ever since.
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