In a world dominated by data and correlations, making good decisions requires understanding what truly causes what. The Causal Mindset Handbook is a clear, non-technical guide to causal reasoning and causal inference, designed to help readers think more clearly about cause and effect. Rather than focusing on complex statistics, the book introduces intuitive concepts and visual tools, such as causal graphs and counterfactual thinking, to evaluate claims, measure impact, and avoid common reasoning traps. Readers learn how causal inference differs from predictive models, and why correlation alone is not enough for sound decision-making. Drawing on real-world case studies from business, policy, and everyday life, the book shows how causal thinking works when perfect experiments are not possible. Designed for managers, analysts, policymakers, and curious professionals, it combines hands-on exercises with access to an interactive companion app, enabling readers to practice evidence-based decision-making with confidence. Foreword by Pr. Karim R. Lakhani, Harvard Business School, Digital Data Design Institute at Harvard, Laboratory for Innovation Science at Harvard.