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Index
Book title
Introduction
How to Get Causes from Probabilities
Determining Causal Structure
Inus Conditions
Causes and Probabilities in Linear Models
Conclusion
Appendix: Back Paths and the Identification of Causes
No Causes In, No Causes Out
Causes at Work in Mathematical Physics
New Knowledge Requires Old Knowledge
How Causal Reasoning Succeeds
Discovering Causal Structure: Can the Hypothetico-Deductive Method Work?
Conclusion
Singular Causes First
Where Singular Causes Enter
When Causes Are Probabilistic
More in Favour of Singular Causes
Singular Causes In, Singular Causes Out
Conclusion
Capacities
Why Should Increases in Probability Recur?
Forecasting and the Stability of Capacities
Beyond Modality
Mill in Defence of Capacities
Conclusion
Abstract and Concrete
Idealization and the Need for Capacities
Abstractions versus Symbolic Representations
What do Abstract Laws Say?
Concreteness and Causal Structure
Conclusion
What Econometrics Can Teach Quantum Physics: Causality and the Bell Inequality
Bell's Inequality
A General Common-Cause Criterion for the EPR Experiment
Quantum Realism and the Factorizability Condition
A Common-Cause Model for EPR
Quantum Mechanics and its Causal Structure
Factorizability and the Propagation of Causes
Conclusion
Appendices
Do Quantum Causes Propagate?
Propagation, Effect-Locality, and Completeness: A Comparison
Index
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