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We use three datasets that contain a wide range of misinformation stories during the 2020 election, and we use synthetic controls to examine the causal effect of Twitter\u2019s restrictions on Trump\u2019s tweets in the 2020 presidential election on the spread of misinformation. We find a nuanced set of results. While it is not always the case that Twitter\u2019s actions reduced the subsequent flow of misinformation about the election, we find that in a number of instances content moderation reduced the flow of social media misinformation. 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