Some Problems with the Anti-Luminosity-Argument

I argue that no successful version of Williamson's anti-luminosity-argument has yet been presented, even if Srinivasan's further elaboration and defence is taken into account. There is a version invoking a coarse-grained safety condition and one invoking a fine-grained safety condition. A crucial step in the former version implicitly relies on the false premise that sufficient similarity is transitive. I show that some natural attempts to resolve this issue fail. Similar problems arise for the fine-grained version. Moreover, I argue that Srinivasan's defence of the more contentious fine-grained safety condition is also unsuccessful, again for similar reasons.     

Gender Differences in Loneliness Across the Lifespan: A Meta‐Analysis

Different theoretical contentions on gender differences in loneliness exist, often including the emergence of gender differences in particular developmental periods. To explain those ideas, the current meta‐analysis synthesizes the available evidence on gender differences in loneliness across the lifespan. Three‐level meta‐analyses were conducted with 751 effect sizes, covering 399,798 individuals (45.56% males). Results showed a close‐to‐zero overall effect (g = 0.07). Most examined moderators were non‐significant, except for age, the scope of the sampling area, and year of publication. Most importantly, all effects were small, suggesting that across the lifespan mean levels of loneliness are similar for males and females.     

Social relations and presence of others predict bystander intervention: Evidence from violent incidents captured on CCTV

Are individuals willing to intervene in public violence? Half a century of research on the “bystander effect” suggests that the more bystanders present at an emergency, the less likely each of them is to provide help. However, recent meta-analytical evidence questions whether this effect generalizes to violent emergencies. Besides the number of bystanders present, an alternative line of research suggests that pre-existing social relations between bystanders and conflict participants are important for explaining whether bystanders provide help. The current paper offers a rare comparison of both factors—social relations and the number of bystanders present—as predictors of bystander intervention in real-life violent emergencies. We systematically observed the behavior of 764 bystanders across 81 violent incidents recorded by surveillance cameras in Copenhagen, Denmark. Bystanders were sampled with a case–control design, their behavior was observed and coded, and the probability of intervention was estimated with multilevel regression analyses. The results confirm our predicted association between social relations and intervention. However, rather than the expected reversed bystander effect, we found a classical bystander effect, as bystanders were less likely to intervene with increasing bystander presence. The effect of social relations on intervention was larger in magnitude than the effect of the number of bystanders. We assess these findings in light of recent discussions about the influence of group size and social relations in human helping. Further, we discuss the utility of video data for the assessment of real-life bystander behavior.