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When can I use causal language?

When the design supports it: a randomized experiment, or an observational design with an explicit identification strategy you can defend. Observational data with controls added is not sufficient, and this is the most common correction on data science reports.

This comes up on MS Data Science Support, where it is answered in the context of the work itself.

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