Random walk mixing times reveal how users get trapped in algorithmic clusters. This research maps the mathematical structure of social media rabbit holes to explain why certain content loops persist. It provides a framework for auditing recommendation engines. Developers can use these metrics to quantify and mitigate echo chamber effects in social graphs.