In an innovative initiative, SCOTUSblog has introduced its inaugural Supreme Court forecasting contest in collaboration with Good Judgment Inc. This project invites the blog’s informed readership to predict the decisions of the U.S. Supreme Court’s key cases for the 2026-2027 term. The platform GJ Open, a creation of the foresight specialists behind the book Superforecasting, will serve as the venue for this competition.
The contest offers participants the opportunity to assess their predictions against those made by artificial intelligence models, fostering an interesting human-versus-machine dynamic. As an added incentive, the names of the top three forecasters will be announced on SCOTUSblog, potentially along with some free merchandise.
Interested parties can join the contest through GJ Open’s sign-up page using either an email address, Google account, or Facebook account. Once registered, they will navigate to the SCOTUSblog 2026-27 Supreme Court Forecasting Challenge page to begin predicting outcomes. Participants can adjust their forecasts until the case is settled, and as new cases arise, the contest will be updated accordingly.
The forecasting competition is led by Ryan Adler, JD, a managing director and question team lead at Good Judgment, who is excited to bring his expertise and passion to this endeavor. Adler advises forecasters to approach the process methodically, providing several tips such as thoroughly reading the resolution criteria, examining the highest lower court’s decision, and revisiting forecasts post-oral arguments. Forecasters are encouraged to remain impartial, focusing on likely outcomes rather than personal desires.
Launched in 2015, GJ Open is a free platform for individuals to hone their forecasting skills across diverse subjects, following its origins as a project led by Philip Tetlock and Barbara Mellers at the University of Pennsylvania. The success of this initiative, even outperforming intelligence analysts with access to classified data, was encapsulated in the book Superforecasting: The Art and Science of Prediction.
For more details on this venture, visit the official announcement on SCOTUSblog.