Skipper Seabold, Director of Data Science at Civis Analytics and statsmodels creator, and Emily Robinson, an expert in A/B testing, delve into the credibility crisis plaguing data science. They discuss mismatched expectations across industries and the risks this poses to the labor market. The conversation highlights the importance of robust methodologies, effective communication with stakeholders, and the vital role of randomized control trials. Listeners gain insights into improving the integrity of data science and setting realistic goals in experimentation.