Location-based on-line dating applications are a popular tool for initiating short and long-term relationships. Besides seeking for partners, people use these applications for a myriad of other reasons. We investigated how the Dark Tetrad of personality, controlling for sex, age, and trolling tendencies, related to different motives for using Tinder. Current or former Tinder users (N = 216) completed online scales for Tinder use motivations, trolling, sadism, and the Dark Triad (Machiavellianism, narcissism, and psychopathy). Using Tinder for acquiring sexual experience was related to being male and being high in psychopathy. Psychopathy was positively correlated with using Tinder to distract oneself from other tasks (e.g., procrastination). Higher Machiavellianism and being female were related to peer pressure as a Tinder use motivation. Using Tinder for acquiring social or flirting skills had a negative relationship with narcissism, and positive relationship with Machiavellianism. Finally, Machiavellianism was also a significant, positive predictor of Tinder use for social approval and to pass the time. Results indicate that individuals high in Machiavellianism use Tinder for a number of utilitarian reasons, whereas the main motive for high psychopathy individuals is hookup for casual sex.

While economic inequality continues to rise within countries, efforts to address it have been largely ineffective, particularly those involving behavioral approaches. It is often implied but not tested that patterns among low-income individuals may be a factor impeding behavioral interventions aimed at improving upward economic mobility. To test this, we assessed rates of ten cognitive biases across nearly 5,000 participants from 27 countries, comparing between low-income adults and individuals that had overcome financial disadvantages as children, known as positive deviants. Using discrete and complex models, we find robust evidence of no differences within or between groups or countries. We therefore conclude without reservation that choices impeded by cognitive biases alone cannot explain why some individuals do not experience upward economic mobility. Policies must combine both behavioral and structural interventions to improve financial well-being across populations.

This project will use secondary data analysis to explore financial behaviors and economic inequality globally. We will investigate the patterns and predictors of positive deviance across and within 60 countries. Using this framework, we aim to better understand what incremental behaviors or individual factors might form the basis of more effective interventions to reduce financial inequality.