Navigate the complexities of real-world data with "Causal Inference in the Wild," a guide designed for anyone who must move beyond correlation to uncover true cause and effect. In an age of abundant data but elusive truth, this book provides the essential framework and tools for data scientists, policymakers, business leaders, and analysts to make decisions that are both effective and responsible. It tackles the core challenge of modern analysis: most data is not generated in controlled ex...