Causal Tools Explained
Jennifer discusses the misconception surrounding causal tools, revealing that many are essentially prediction tools with no magic solution for identifying causal effects. The conversation delves into counterfactuals, highlighting the importance of understanding what might have happened under different conditions, such as varying masking policies in schools. This exploration emphasizes the need for careful consideration of assumptions in causal analysis.In this clip
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