Y0 is an open-source Python package implementing a broad suite of causal identification algorithms with a domain-specific language for queries and estimands.
What Counterfactuals Can Be Tested
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abstract
Counterfactual statements, e.g., "my headache would be gone had I taken an aspirin" are central to scientific discourse, and are formally interpreted as statements derived from "alternative worlds". However, since they invoke hypothetical states of affairs, often incompatible with what is actually known or observed, testing counterfactuals is fraught with conceptual and practical difficulties. In this paper, we provide a complete characterization of "testable counterfactuals," namely, counterfactual statements whose probabilities can be inferred from physical experiments. We provide complete procedures for discerning whether a given counterfactual is testable and, if so, expressing its probability in terms of experimental data.
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cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Causal identification with $Y_0$
Y0 is an open-source Python package implementing a broad suite of causal identification algorithms with a domain-specific language for queries and estimands.