Over at Consumer Law & Policy Blog, Jeff Sovern recently discussed James Kwak's new book, Economism: Bad Economics and the Rise of Inequality, which mounts a convincing case against the blind application of Economics 101 to important policy questions, such as healthcare, international trade, the minimum wage, mortgages and other financial products, and taxes. Kwak details the consequences of "economism," which he defines as "the belief that a few isolated Economics 101 lessons accurately describe the real world." Kwak analogizes using economics in this way to justify widening socioeconomic inequality to prior century's reliance on religion and applications of Darwinian evolution to justify the social order of those times. Part of the lure of economism, and how it can be used as an effective justification, is that it seemingly is grounded in math. And math appears to many as absolute, complicated, and scary.
Which made me think of another relatively new book, Cathy O'Neil's Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. O'Neil chronicles the repercussions of relying on algorithms fed by big data to assess everything from grade school teachers' effectiveness to credit worthiness to which households politicians should target during election campaigns. When not used properly, these "weapons of math destruction" can entrench and perpetuate inequality.