This podcast features Blake McShane, Eric Bradlow, John Lynch, Robert Meyer, and Fred Feinberg—renowned scholars advocating for a shift from null hypothesis significance testing in research. They discuss the pitfalls of overrelying on p-values and emphasize the importance of nuanced statistical approaches. Topics include improving measurement quality, the importance of advanced statistical techniques, and how industry perceptions can shift with better data transparency. The conversation urges a reevaluation of practices to enhance research validity and impact.