INTRODUCTION
In The Signal and the Noise, a manifesto for our cognitively dissonant post-fact, pro-statistics era, Nate Silver writes: ‘Data-driven predictions can succeed – and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves’. He continues: ‘[O]ur bias is to think that we are better at prediction than we really are’. The devil, of course, is in the details of determining which data-driven predictions are failures and which ones are successes. Maria Kuecken observes in the LSE Review of Books: ‘[A] data-driven claim does not a good prediction make’ …
[Anjali Vats, (White) Racial Arithmetic as Intellectual Property Architecture, Texas Law Review volume 103 issue 7.
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