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Algorithm predicts US Supreme Court decisions 70% of time

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Legal scholar, Josh Blackman, says that he and his colleagues developed an algorithm that can predict whether the US Supreme Court will uphold or reverse a court decision. via ars technica:

“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.

Read more.


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