# Understanding the Gap Between Personal and Others' Climate Risk Perceptions
Researchers have conducted a comprehensive meta-analysis examining how people perceive climate change risks differently for themselves compared to others. This study synthesized data from 59 datasets collected between 2010 and 2023, encompassing 83 effect sizes and 70,337 participants across 17 countries in North America, Europe, Asia, and Oceania.
## The Self-Other Discrepancy
The central finding reveals a significant psychological bias in how people assess climate-related dangers. When evaluating threats from extreme weather events like heatwaves, storms, droughts, and floods, individuals consistently rate their personal risk as lower than the risk facing others. This phenomenon, known as self-other discrepancy or overplacement bias, is part of a broader pattern of overoptimism in human decision-making.
The meta-analysis quantified this discrepancy at d = -0.54, with a 95% confidence interval of [-0.68, -0.39]. In practical terms, this means that in more than 68% of cases, people perceive climate change-related risks as both less likely and less severe for themselves than for others. Remarkably, 81 of the 83 effect sizes demonstrated this skewed perception.
## Three Theoretical Explanations
Three cognitive models attempt to explain this bias. The egocentrism model suggests people overemphasize their own characteristics when comparing themselves to an average other, leading them to exaggerate their capabilities in handling climate risks. The focalism model proposes that when focusing on oneself, personal resilience becomes overemphasized. The generalized group account argues that people view individuated persons more favorably than generalized groups, causing self-other discrepancies to increase with the generality of the comparison group.
## Impact of Comparison Groups
The research tested whether the type of comparison group affects this bias. Results confirmed that the discrepancy varies significantly based on who people compare themselves to. When comparing personal risk to close others like community members, the effect was smallest (d = -0.28). The discrepancy increased when comparing to compatriots within their own country (d = -0.47), and became most pronounced when comparing to humanity as a whole (d = -0.72). This supports the generalized group account, suggesting people conjure high-risk stereotypes when comparing themselves to larger, more abstract groups.
## Geographic Variations in Risk Perception
The study examined whether objective climate risk levels influence these biased perceptions. Researchers categorized regions based on actual climate vulnerability: Asia and Oceania faced the highest objective risks, the USA medium risks, and Europe the lowest among the three. The analysis revealed that people in high-risk regions showed smaller self-other discrepancies (Asia/Oceania: d = -0.42) compared to medium-risk regions (USA: showing intermediate effects) and low-risk regions (Europe: showing larger discrepancies). This suggests that experiencing tangible climate threats may reduce optimistic biases about personal safety.
## Statistical Considerations and Variability
The overall effect showed significant heterogeneity, with approximately 49% variability between studies. The prediction interval overlapped zero, meaning that in any specific future study, the self-other discrepancy might be reversed. However, accounting for factors like referent type reduced heterogeneity by about 10 percentage points, explaining some of this variability.
## Practical Implications
These skewed perceptions have serious practical consequences for climate adaptation and mitigation efforts. When people underestimate their personal vulnerability to climate risks, they may be less motivated to take protective actions or support policy measures. This undermines effective risk communication strategies and could impede both individual preparedness and collective action on climate change.
The study acknowledges an important limitation: without controlling for participants' objective risk levels, researchers cannot determine whether individual perceptions are truly overly optimistic. The analysis synthesizes discrepancies at the study level rather than establishing absolute accuracy of risk judgments. Nevertheless, the consistent pattern across 17 countries and more than 70,000 participants suggests this psychological bias represents a significant challenge for climate risk communication and public engagement with climate adaptation strategies.