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How do we know if one thing truly causes another? In this First-Year Seminar, we’ll explore the foundations of Causal Inference, the science of identifying and understanding cause-and-effect relationships. Through real-world case studies, hands-on activities, and critical analysis of media, students will learn how to distinguish correlation from causation, design experiments, and evaluate evidence from observational data. Course includes applications from public health, policy, social media and economics. No prior statistical background required.