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What's Going on in Data Science?
Two thirds of the teams found a positive effect, while one third of teams actually found no effect at all. Only one single caveriat was even used in over half of the analyses. What does this mean for data science? Should we just pack up and go home? Definitely not. One potential avenue is the crowd source and bootstrap data science work. For now, we'll be digging deeper into what exactly all this means for data science.