Random walk mixing times reveal how users get trapped in algorithmic clusters. This research examines the mathematical structure of social media rabbit holes to quantify information isolation. By mapping these clusters, researchers identify why certain content loops persist. Practitioners can use these metrics to audit recommendation engines for echo chamber effects and improve diversity.