Statistical misrepresentation involves the manipulation or distortion of statistical data to support a particular argument or agenda, often leading to misleading conclusions. It can occur through various means such as selective reporting, inappropriate sampling, or biased data visualization, and is a critical concern in data-driven decision-making processes.
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