Contents -- Introduction -- 1. How to Get Causes from Probabilities -- 1.1. Introduction -- 1.2. Determining Causal Structure -- 1.3. Inus Conditions -- 1.4. Causes and Probabilities in Linear Models -- 1.5. Conclusion -- Appendix: Back Paths and the Identification of Causes -- 2. No Causes In, No Causes Out -- 2.1. Introduction -- 2.2. Causes at Work in Mathematical Physics -- 2.3. New Knowledge Requires Old Knowledge -- 2.4. How Causal Reasoning Succeeds -- 2.5. Discovering Causal Structure: Can the Hypothetico-Deductive Method Work? -- 2.6. Conclusion -- 3. Singular Causes First -- 3.1. Introduction -- 3.2. Where Singular Causes Enter -- 3.3. When Causes Are Probabilistic -- 3.4. More in Favour of Singular Causes -- 3.5. Singular Causes In, Singular Causes Out -- 3.6. Conclusion -- 4. Capacities -- 4.1. Introduction -- 4.2. Why Should Increases in Probability Recur? -- 4.3. Forecasting and the Stability of Capacities -- 4.4. Beyond Modality -- 4.5. Mill in Defence of Capacities -- 4.6. Conclusion -- 5. Abstract and Concrete -- 5.1. Introduction -- 5.2. Idealization and the Need for Capacities -- 5.3. Abstractions versus Symbolic Representations -- 5.4. What do Abstract Laws Say? -- 5.5. Concreteness and Causal Structure -- 5.6. Conclusion -- 6. What Econometrics Can Teach Quantum Physics: Causality and the Bell Inequality -- 6.1. Introduction -- 6.2. Bell's Inequality -- 6.3. A General Common-Cause Criterion for the EPR Experiment -- 6.4. Quantum Realism and the Factorizability Condition -- 6.5. A Common-Cause Model for EPR -- 6.6. Quantum Mechanics and its Causal Structure -- 6.7. Factorizability and the Propagation of Causes -- 6.8. Conclusion -- Appendices -- I. A More General Common-Cause Model for EPR -- II. Do Quantum Causes Propagate? -- III. Propagation, Effect-Locality, and Completeness: A Comparison -- Index -- A -- B -- C -- D -- E.

F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W.