The Causal Review is a global, digital-first publication dedicated entirely to causal inference, experimentation, and evidence-based decision-making.

In a world saturated with correlations, predictions, and dashboards, knowing what works and why has become essential. Causal inference now sits at the core of decisions in technology, healthcare, economics, public policy, and artificial intelligence. Yet the field remains fragmented: advanced research is often inaccessible, while applied work is scattered across blogs, institutions, and companies.

The Causal Review exists to bridge that gap.

We translate rigorous causal research into clear, engaging, and intellectually honest stories. Our work connects theory to practice, showing how causal methods are developed, debated, and applied in the real world and where their limits lie. We bring together voices from academia, industry, and policy to create a shared space for serious causal thinking.

Our audience includes researchers, data scientists, policymakers, practitioners, and students who care about making better decisions with data. Whether you are building experiments at scale, evaluating public policy, or learning causal inference for the first time, The Causal Review is designed to meet you where you are.

We publish year-round as a digital magazine with regular features, interviews, case studies, and research highlights. Each December, we release a prestige annual print edition that captures the year's most important ideas, debates, and contributors to the field.

Our mission is simple: to make causal inference clearer, more accessible, and more relevant so better decisions can be made in the world.