This review of 122 research reports (184 independent samples, 14,900 subjects) found average r ϭ .274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test (IAT) measures. Parallel explicit (i.e., self-report) measures, available in 156 of these samples (13,068 subjects), also predicted effectively (average r ϭ .361), but with much greater variability of effect size. Predictive validity of self-report was impaired for socially sensitive topics, for which impression..

Sunstein's review of research on moral heuristics is rich and informative – even without his central claim that individuals often commit moral errors. We question the value of positing such a normative moral framework for the study of moral judgment. We also propose an alternative standard for evaluating moral judgments – that of subjective rationality.

Recent work within psychology demonstrates that unconscious cognition plays a central role in the judgments and actions of individuals. We distinguish between two basic types unconscious social cognition: unconsciousness of the influences on judgments and actions, and unconscious of the mental states that give rise to judgments and actions. Influence unconsciousness is corroborated by strong empirical evidence, but unconscious states are difficult to verify. We discuss procedures aimed at providing conclusive evidence of state unconsciousness, and apply them to recent empirical (...) findings. (shrink)

McCullough et al.'s functionalist model of revenge is highly compatible with the person-centered approach to moral judgment, which emphasizes the adaptive manner in which social perceivers derive character information from moral acts. Evidence includes act–person dissociations in which an act is seen as less immoral than a comparison act, yet as a clearer indicator of poor moral character.

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.

Automatic preferences can influence a decision maker’s choice before any relevant or meaningful information is available. We account for this element of human cognition in a computational model of problem solving that involves active trial and error and show that automatic biases are not just a beneficial or detrimental property: they are a tool that, if properly managed over time, can give rise to superior performance. In particular, automatic preferences are beneficial early on and detrimental at later stages. What is (...) more, additional value can be generated by a timely rebiasing, i.e., a calculated reversal of the initial automatic preference. Remarkably, rebiasing can dominate not only debiasing but also continuously unbiased decision making. This research contributes to the debate on the adaptiveness of automatic and intuitive biases, which has centered primarily on one-shot controlled laboratory experiments, by simulating outcomes across extended time spans. We also illustrate the value of the novel intervention of adopting the opposite automatic preference—something organizations can readily achieve by changing key decision makers—as opposed to attempting to correct for or simply accepting the ubiquity of such biases. (shrink)

Recent experimental evidence indicates that intuitions about inherence and system justification are distinct psychological processes, and that the inherence heuristic supplies important explanatory frameworks that are accepted or rejected based on their consistency with one's motivation to justify the system.

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.

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.

Critical aspects of the “rationality of rationalizations” thesis are open empirical questions. These include the frequency with which past behavior determines attitudes (as opposed to attitudes causing future behaviors), the extent to which post hoc justifications take on a life of their own and shape future actions, and whether rationalizers experience benefits in well-being, social influence, performance, or other desirable outcomes.

In advocating Bayesian Enlightenment as a solution to Bayesian Fundamentalism, Jones & Love (J&L) rule out a broader critique of rationalist approaches to cognition. However, Bayesian Fundamentalism is merely one example of the more general phenomenon of Rationalist Fundamentalism: the tendency to characterize human judgments as rational and optimal in a post hoc manner, after the empirical data are already known.

Ego-justifying, group-justifying, and system-justifying motivations contribute to base-rate respect. People tend to neglect (and use) base rates when doing so allows them to draw desired conclusions about matters such as their health, the traits of their in-groups, and the fairness of the social system. Such motivations can moderate whether people rely on the rule-based versus associative strategies identified by Barbey & Sloman (B&S).