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Empirical bias refers to systematic errors that occur in the collection, analysis, or interpretation of data, leading to results that deviate from the true value or reality. It can arise from various sources, such as flawed measurement techniques, sampling errors, or cognitive biases in data interpretation. This type of bias can significantly affect the validity and reliability of research findings, making it crucial for researchers to identify and mitigate it in their studies. Overall, empirical bias undermines the objectivity and accuracy of empirical research.

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