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Scientific Critical Thinking provides a structured framework for evaluating the quality of research papers, clinical trials, and data-driven claims. It empowers Claude to systematically analyze experimental designs, detect cognitive and measurement biases, and assess evidence quality using recognized standards like GRADE and Cochrane Risk of Bias. By applying rigorous statistical checks and identifying logical fallacies, this skill ensures that users can distinguish between robust scientific findings and flawed or misleading conclusions, making it essential for academic review and evidence-based decision-making.
