Predicting the unpredictable: how will the supreme court settle partisan gerrymandering?

Introduces a new model to predict Supreme Court outcomes by combining the Segal-Cover Score and career voting percentage on specific constitutional violations, could indicate which way the justices will rule on the current partisan gerrymandering cases. To achieve this outcome, the literature review sets the foundation for the attitudinal model which past scholars have used to build their predictions models. The relationship between partisan gerrymandering and the Supreme Court is woven into the case study. While, the institution as a whole does not believe it is the judiciary’s responsibility to intervene, yet it is not stopping challengers from challenging the practice. After the retirement of Justice Kennedy, there is no clear swing vote. Therefore, practice of partisan gerrymandering is predicted to continue with Rucho and Lemone in a 5-4 decision in favor of no action.