External criticism is crucial in data analysis because it helps validate the accuracy and reliability of the data sources used. By evaluating the origins, context, and methodology behind the data, analysts can identify potential biases, errors, or misrepresentations. This scrutiny enhances the credibility of findings and ensures that conclusions drawn from the data are robust and trustworthy. Ultimately, external criticism strengthens the overall integrity of the analysis and informs better decision-making.
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