In an effort to counter the real estate magnates rapidly growing lead in the delegate count, GOP statisticians announced Wednesday they had successfully developed an entirely new branch of mathematics for formulating scenarios in which Donald Trump does not win the Republican Partys presidential nomination. By expanding on pioneering work in the fields of applied statistics, higher-order logic, and number theory, weve arrived at a new branch of mathematics that provides for a multitude of feasible outcomes in which Donald Trump is not the 2016 GOP nominee, said Dr. Jeffrey Larson, who has led a team of more than 30 statisticians who have been working around the clock at RNC headquarters to establish new mathematical properties since the wealthy businessman won the New Hampshire primary by a 20-point margin. The new field required several breakthroughs on the manipulation of Booles inequality principle, and some of our models are still only predictive within certain artificial stochastic conditions. However, this new discipline of Nonlinear Computational Probability finally establishes a practicable methodology by which there exist possible paths to the nomination for Marco Rubio or Ted Cruz. At press time, Larson announced the team had devised a new method of abstraction and mathematical induction in which lower numbers have a greater numerical value than their higher counterparts. 