The study of Fairness in Machine Learning deconstructs the transition from schoolhouse tallies to a high-stakes study of Algorithmic Bias and the architecture of Group Fairness. This episode of pplpod analyzes the evolution of Individual Fairness, exploring the mechanics of Compas alongside the 2016-unit investigation by ProPublica. We begin our investigation by stripping away the "objective math" facade to reveal a landscape where 1960s-unit-aged civil rights debates have been resurrected inside black-box software that decides who gets a mortgage, a job, or a prison sentence. This deep dive focuses on the "Proxy Variable" methodology, deconstructing how scrubbing race from a data set fails when a 5-unit-digit zip code acts as a  ...