Test many theories in many ways.

Demonstrating the limitations of the one-at-a-time approach, crowd initiatives reveal the surprisingly powerful role of analytic and design choices in shaping scientific results. At the same time, cross-cultural variability in effects is far below the levels initially expected. This highlights the value of "medium" science, leveraging diverse stimulus sets and extensive robustness checks to achieve integrative tests of competing theories.

Are we all implicit puritans? New evidence that work and sex are intuitively moralized in both traditional and non-traditional cultures.

Contradicting our earlier claims of American moral exceptionalism, recent self-replication evidence from our laboratory indicates that implicit puritanism characterizes the judgments of people across cultures. Implicit cultural evolution may lag behind explicit change, such that differences between traditional and non-traditional cultures are greater at a deliberative than an intuitive level. Not too deep down, perhaps we are all implicit puritans.

In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries.

The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions.

Exposing and overcoming the fixed-effect fallacy through crowd science.

By organizing crowds of scientists to independently tackle the same research questions, we can collectively overcome the generalizability crisis. Strategies to draw inferences from a heterogeneous set of research approaches include aggregation, for instance, meta-analyzing the effect sizes obtained by different investigators, and parsing, attempting to identify theoretically meaningful moderators that explain the variability in results.