Few researchers would have expected that data collected from a cellphone action game could be used to address questions of sleep consolidation in skill learning. Realizing that their data set of Axon™ games included long breaks between some games, they pulled out instances in which successive games occurred during sleep or non‐sleep hours, with the former (but not the latter) being candidates for sleep consolidation effects. The approach and results demonstrate the promise of Big Data to raise questions that have little or nothing to do with the paradigm used to collect the data.