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Algorithm predicts US Supreme Court decisions 70% of time

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A legal scholar says he and colleagues have developed an algorithm that can predict, with 70 percent accuracy, whether the US Supreme Court will uphold or reverse the lower-court decision before it.

“Using only data available prior to the date of decision, our model correctly identifies 69.7 percent of the Court’s overall affirm and reverse decisions and correctly forecasts 70.9% of the votes of individual justices across 7,700 cases and more than 68,000 justice votes,” Josh Blackman, a South Texas College of Law scholar, wrote on his blog Tuesday.
via Ars Technica

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Image: Josh Blackman’s Blog 

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