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Sentences about user-friendliness are always patronizing
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paper/paper.md

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@@ -172,7 +172,7 @@ once identification is established, $Y_0$ focuses specifically on the
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identification step—helping researchers determine _whether_ a causal
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relationship can be estimated from their available data (observational,
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experimental, or mixed) before attempting to estimate _how strong_ that
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relationship is. $Y_0$ provides a user-friendly language for expressing causal
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relationship is. $Y_0$ provides a domain-specific language for expressing causal
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queries, tools for representing graphical causal models that incorporate various
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data types from single or multiple populations, and implementations of numerous
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identification algorithms from the causal inference literature. Scientists and

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