Labeling a food as “organic” entails a claim about its production but is silent on its calorie content. Nevertheless, people infer that organic cookies are lower in calories and can be eaten more often than conventional cookies (Study 1). These inferences are observed even when the nutrition label conveys identical calorie content and are more pronounced among perceivers high on pro-environmentalism. Moreover, when evaluating a person with a weight-loss goal, forgoing exercise is deemed more acceptable when the person has just chosen organic rather than conventional dessert (Study 2). These results reflect an “organic/natural”-“healthy” association that is capable of biasing everyday judgments about diet and exercise.

By manipulating the scale in graphs, this study demonstrated a new evaluation bias caused by attribute salience in graphical representations. That is, (de)compressing the graph axis scale changed the relative distance with respect to the options of a given attribute and thus changed the salience of the information in graphical representations. Experiment 1 showed that the differences in the graphical representations had a significant impact on the evaluation. Experiment 2 repeated the scale manipulation effect in a different scenario and extended it to a multi-options context. Experiment 3 disentangled the effect of scale distance manipulation from the other variables (e.g., scale resolution and assignment of attributes to axes) and further supported the finding of Experiment 1. These results indicated that attribute salience in graphical representations clearly affects evaluations and that graphs can be manipulated to cause very different impressions of the same data. This finding is not consistent with the axioms of normative economic theory. Experiment 3 also tested the attribute importance hypothesis, but the evidence indicated that the participants did not regard the longer axis as the more important attribute. Finally, we related our findings to the impact of visual processing on decision making and discussed them from the perspective of two-system cognitive theory.

A gender difference in risk preferences, with women being more averse to risky choices, is a robust experimental finding. Speculating on the sources of this difference, Croson and Gneezy recently pointed to the tendency for women to experience emotions more strongly and suggested that feeling more strongly about negative outcomes would lead to greater risk-aversion. Here we test this hypothesis in an international survey with 424 respondents from India and 416 from US where we ask questions about a hypothetical lottery. In both countries we find that emotions about outcomes are stronger among women, and that this effect partially mediates gender difference in willingness to enter the lottery.

This article presents several studies that replicate and extend previous research on maximizing. A modified scale for measuring individual maximizing tendency is introduced. The scale has adequate psychometric properties and reflects maximizers’ aspirations for high standards and their preference for extensive alternative search, but not the decision difficulty aspect included in several previous studies. Based on this scale, maximizing is positively correlated with optimism, need for cognition, desire for consistency, risk aversion, intrinsic motivation, self-efficacy and perceived workload, whereas the association with regret is inconsistent. Analysis of correlates of the difficulty dimension suggests that decision difficulty should be conceptualized as a separate dimension rather than as a sub-dimension of maximizing. Opportunities for future research are suggested.

Using a stochastic dominance approach in an international dataset of about 10,000 Catholic subjects, we show that incentives (based on absolute belief) play a crucial role in religious practice (church attendance and prayer). Furthermore, we find that when both positive (heaven) and negative (hell) incentives are available, the former have a much stronger effect than the latter. The results are confirmed using Kolmogorov-Smirnov tests.

We investigated the role of individual differences in cognitive reflection in decision making. We measured the performance of 157 participants in the cognitive reflection test (Frederick, 2005) and a number of decision-making tasks. We examined the relation of cognitive reflection with performance in tasks that assess correspondence (as distinct from coherence), such as predicting the ratings of chess players. We found significant correlations between cognitive reflection and all the estimation measures in correspondence tasks. Our results suggest that cognitive reflection is a thinking disposition that includes more characteristics than originally proposed by Frederick (2005). We proposed that cognitive reflection is related to the concept of actively open-minded thinking (Baron, 1985, 2008). We concluded that cognitive reflection is a thinking disposition that interacts with knowledge, domain-specific heuristics and characteristics of the environment and that it may play an essential role in the adaptation of the decision maker to different environments and situations.

Individuals are often ambiguity-averse when choosing among purely chance-based prospects (Ellsberg, 1961). However, they often prefer apparently ambiguous ability-based prospects to unambiguous chance-based prospects. According to the competence hypothesis (Heath & Tversky, 1991), this pattern derives from favorable perceptions of one’s competence. In most past tests of the competence hypothesis, ambiguity is confounded with personal controllability and the source of the ambiguity (e.g., chance vs. missing information). We unconfound these factors in three experiments and find strong evidence for independent effects of both ambiguity aversion and competence. In Experiment 1, participants preferred an unambiguous chance-based option to an ambiguous ability-based option when the ambiguity derived from chance rather than uncertainty about one’s own ability. In Experiments 2 and 3, which used different operationalizations of ambiguity in choice contexts with actual consequences, participants attempted to avoid both ambiguity and chance insofar as they could. These findings support and extend the competence hypothesis by demonstrating ambiguity aversion independent of personal controllability and source of ambiguity.

We evaluate Dijksterhuis, Bos, van der Leij, & van Baaren (2009), Psychological Science, on the benefit of unconscious thinking in predicting the outcomes of soccer matches. We conclude that the evidence that unconscious thinking helps experts to make better predictions is tenuous both from theoretical and statistical perspectives.