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Many of our most pressing challenges, from addressing climate change to dealing with pandemics, require collective action. In other words, they cannot be solved by any individual acting alone – overcoming them requires coordination and contribution from all group members. Since Milinski et al. (2008) introduced the collective-risk social dilemma, several researchers have adapted this version of the traditional public goods game to study behaviour in these situations. We introduce inequality based on effort and luck into this framework to investigate how beliefs about the origins of wealth influence contributions to group goals. This follows experimental evidence showing that wealthier individuals who hold meritocratic beliefs about their wealth may be less willing to support the common good (e.g. Fehr & Vollman 2020; Vicens et al., 2018; van Dijk & Wilke, 1994). Results will have implications for policymakers addressing collective action problems; and may even prompt us to question elements of the meritocratic agenda currently being pursued in many societies today.

We find a strong relationship between risk-loving preferences and cognitive ability which becomes stronger as adherence to the generalized axiom of revealed preference (a proxy for rationality) increases. Our results are taken from a field study of individuals at the very bottom of the income distribution in a developing nation. Our results for some of the poorest in the world support recent findings drawn from subjects in wealthy Western nations, suggesting there may be a stable relationship between risk preferences and cognitive ability for the human population as a whole irrespective of socio-economic status.

Group identity is known to exert a powerful socio-psychological influence on behaviour but to date has been largely explored as a uni-dimensional phenomenon. We consider the role of multiple dimensions of identity, asking what might happen to ingroup and outgroup perceptions and the resulting implications for cooperation. Carefully selecting two politically charged identity dimensions documented to have similar strength and to be largely orthogonal (religious belief and views about government size), we find that priming individuals to consider both dimensions rather than one has a noticeable effect on behaviour. Moving from one to two dimensions can produce a significant increase in ingroup allocations at the expense of fairness to outgroup individuals, although the effect varies as we switch from primarily considering religion to government size. Evidence suggests that the heterogeneity of such effects is related to the degree of “harmony” between groups in the dimensions concerned.

We provide the first investigation of the relationship between self-awareness and dis- honesty in a multi-wave pre-registered experiment with 1,260 subjects. In the first wave we vary the level of awareness of subjects' past dishonesty and explore the impact on behaviour in tasks that include the scope to lie. In the second wave we vary the degree of competitiveness in one of our core tasks to further explore the interactions between self-awareness, (dis)honesty and competition. We also test for the experimental demand effect in order to rule it out. Our results suggest that in non-interactive tasks, self-awareness helps to lower dishonesty in the future. However, in tasks that are competitive in nature becoming more aware of past dishonesty raises the likelihood of dishonesty in the future. In other words, we show when making people aware of their own past dishonesty can help to reduce dishonesty and when it might back-fire.

National life satisfaction is an important way to measure societal well-being and since 2011 has been used to judge the effectiveness of government policy across the world. However, there is a paucity of historical data making limiting long-run comparisons with other data. We construct a new measure based on the emotional content of music. We first trained a machine learning model using 191 different audio features embedded within music and use this model to construct a long-run Music Valence Index derived from chart-topping songs. This index correlates strongly and significantly with survey-based life satisfaction and outperforms an equivalent text-based measure. Our results have implications for the role of music in society, and validate a new use of music as a long-run measure of public sentiment.

Though many in the general public are concerned about climate change, most are unaware that agriculture and food production accounts for about one quarter of aggregate green house emissions and therefore, diet change is one of the most effective ways that individuals can reduce their climate impact. To investigate how best to communicate this, we present the results of a pre-registered randomised control trial, involving 1220 subjects, exploring six different information interventions. Our findings indicate that the most influential interventions are based on scientific knowledge and efficacy salience. These effects are mediated by prior beliefs and individual characteristics. Providing information on the health impact of a plant-based diet was most effective for individuals with pre-existing health concerns. The greatest resistance to this information was associated with motivated reasoning around meat consumption: the more meat a participant consumed the less they reported knowing about the relationship between diet and climate before the study, the more resistant they were to new information demonstrating that relationship, the lower their efficacy beliefs around climate change, and the more likely they were to take moral offence at being informed. Our results suggest that while many people are open to dietary change and are responsive to scientific evidence, the largest potential for impact between diet and climate may be in overcoming pre-existing biases associated with sacred values around meat consumption.