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Incorrect data is often considered worse than no data because it can mislead decision-making processes, analysis, and interpretations. With no data, decision-makers are aware of the lack of information and may exercise caution, seek additional data, or rely on established principles and practices. In contrast, incorrect data can create a false sense of certainty, leading to potentially harmful decisions, wasted resources, and missed opportunities. The impact of incorrect data depends on the context and the criticality of the decisions being made based on that data.
