  The most common way people think and write about implicit biases is as attributes of persons. Another possibility, though, is that implicit biases are attributes of situations. Although psychologists have been debating person-based and situation-based explanations throughout the history of implicit social cognition research (Payne &amp; Gawronski 2010; Murphy &amp; Walton 2013; Murphy et al. 2018), the situationist approach has gained steam due to Payne and colleagues’ (2017) “bias of crowds” model. Borrowing from the concept of the “wisdom of crowds,” this approach suggests that differences between situations explains the variance of scores on implicit measures, rather than differences between individuals. A helpful metaphor used by Payne and colleagues is doing “the wave” at a baseball game. Where a person is sitting in the bleachers, in combination with where the wave is at a given time, is likely to outperform most individual differences (e.g., implicit or explicit feelings about the wave) in predicting whether a person sits or stands. Likewise, what predicts implicit bias are features of people’s situations, not features of their personality. For example, living in a highly residentially segregated neighborhood might be expected to outpredict racial implicit bias compared to individual-level factors, such as beliefs and personality.