Scientific Critical Thinking

This is the framework you'd want if you're reviewing papers, assessing study design, or need to tear apart methodology with actual rigor. It walks through validity analysis (internal, external, construct, statistical), systematic bias detection across cognitive, selection, measurement, and analysis dimensions, and statistical evaluation including power, test appropriateness, and multiple comparisons. Built around established frameworks like GRADE and Cochrane risk of bias assessments. The checklist approach is thorough without being academic overkill. Honestly most useful if you're doing lit reviews, meta-analyses, or need to critically evaluate research claims rather than just accept conclusions at face value. Integrates with the scientific schematics skill to visualize frameworks and decision trees.