Assess learners' ability to identify and analyze common experimental design flaws and biases in biomedical research—including selection bias, confounding, information bias, lack of randomization or blinding, inadequate controls, small sample sizes, multiplicity/p-hacking, inappropriate endpoints, and misapplied statistics—and to evaluate their impact on internal/external validity, reproducibility, and clinical translation while proposing practical design or analytical remedies.