Levitt and List's findings should serve as a cautionary tale for BI investigators, drawing focus on the need to carefully consider confounding factors when designing BI investigations. Even when randomization drives design, analysts must be attentive to factors outside the study that can trip up findings. Analytical validity and factors that can contaminate results should thus be given critical path priority for BI investigation planning.
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