The N400 effect captures nuances in implicit political preferences.

We conducted a study in San Antonio, Texas, in the weeks preceding the 2022 state Governor election to determine if implicit or explicit measures of political preference could predict voter behavior. We adapted an established event-related potential (ERP) paradigm showing political statements to participants one word at the time where the last word made the statement pro-Republican or pro-Democratic. Our sample of college students included decided and undecided voters, and was reflective of the demographic make-up of south-central Texas.

How the manner in which data is visualized affects and corrects (mis)perceptions of political polarization.

While the mechanisms underlying polarization are complex, scholars have consistently found a pervasive overestimation of perceptions of polarization to be a contributing factor. We argue that one mitigation strategy that can work at scale to address such misperceptions might be relatively straightforward: better data visualizations of cross-party attitudes on key issues. In a large-scale (N = 6603), international replication, we find that mode of presentation-or the manner in which data are visually presented-plays a significant role in moderating perceptions of polarization, even for longstanding, divisive issues for which partisans would likely hold strong prior beliefs.

'Leaving my comfort zone'. A qualitative study of physiotherapists' experiences blending an eHealth psychosocial intervention with face-to-face physiotherapy.

Background: Many physiotherapists do not feel adequately equipped to address psychosocial risk factors in people with complex pain states. Hence, a biopsychosocial blended intervention (Back2Action) was developed to assist physiotherapists to manage people with persistent spinal pain and coexisting psychosocial risk factors associated with the development or maintenance of persistent pain.

Objective: This study aimed to gain insight into the experiences of physiotherapists with this blended psychosocial intervention.

Behavioral science should start by assuming people are reasonable.

Should policymaking assume humans are irrational? Using empirical, theoretical, and philosophical arguments, we suggest a more useful frame is that human behavior is reasonable. Through identifying goals and systemic factors shaping behavior, we suggest that assuming people are reasonable enables behavioral science to be more effective in shaping public policy.