Recent research has linked political differences in attitudes to climate change to measurable variations in factual knowledge on the issue. This research Journal of Environmental Psychologyrevealed that left-leaning participants generally scored higher on tests of climate change knowledge than right-leaning participants. The findings suggest that these differences in fundamental understanding are related to broader disparities in how people view climate change policies and individual conservation actions.
Climate change remains a highly polarizing topic in many Western countries. Polling data regularly shows that voters on the political left tend to view environmental change as a pressing problem that requires immediate government intervention. Voters on the political right tend to express skepticism about the severity of anthropogenic global warming and often oppose policies aimed at mitigating its effects.
Researchers in psychology and political science have proposed several different explanations for this partisan divide. Some theories suggest that conservative voters resist climate action because new regulations threaten established economic structures or infringe on individual freedoms. Other frameworks propose that left-leaning and right-leaning individuals simply maintain different philosophies about how individual actions affect global collectives.
Psychology researchers Christopher Stocks, now at Marietta College, and Ethan Zell of the University of North Carolina at Greensboro proposed another potential factor. They designed a project to measure whether objective gaps in factual knowledge exist between political groups. The researchers wanted to investigate whether this knowledge gap could explain the differences in how each group views the need for environmental policy.
Previous studies have examined specific climate misconceptions and conspiracy theory beliefs, but comprehensive examinations that compare overall knowledge across political groups are relatively rare. Stockus and Zell developed a systematic method to assess general knowledge and track both accuracy and reliability of responses.
In the first of three studies, researchers recruited 217 American adults who identified strongly as either Democrats or Republicans. Participants completed a 10-item quiz that tested their knowledge about the causes and consequences of climate change. Five of the statements were based on fact, such as pointing out that abnormal weather phenomena are related to global warming. Five other statements were false, including claiming that the hole in the ozone layer is the main cause of global warming.
For each statement, participants indicated whether the claim was true or false. They also rated how confident they were in their answers using a sliding scale. To analyze the results, the researchers employed a mathematical approach common in cognitive psychology known as signal detection theory.
This method of analysis tracks two key numbers. The first is the “hit rate,” which measures how often participants can confidently correctly identify a truthful statement. The second is the “false alarm rate,” which tracks how often people confidently mark false statements as true. By comparing the hit rate and false alarm rate, scientists can measure a person’s overall ability to distinguish fact from fiction.
Initial studies showed that Democrats had significantly higher accuracy rates and lower false alarm rates than Republicans. Left-leaning participants were better at both recognizing true facts and rejecting false facts. Democrats also scored much higher on surveys measuring environmental concern and support for national goals to reduce carbon emissions.
The researchers used a statistical tool called mediation analysis to look for associations between these survey responses. Mediation analysis helps scientists understand whether intermediate variables explain the relationship between an independent variable and an outcome. In this case, researchers found that factual knowledge plays a bridging role. Political polarization over concerns about climate change was mathematically associated with measured gaps in objective knowledge.
To test these results, Stocks and Zell conducted a second study of 216 American adults who had voted in presidential elections. The procedure mirrored the first experiment, but added a survey assessing daily environmental habits. Participants answered questions about behaviors such as turning off lights in empty rooms and engaging in water-saving habits.
The results of the second test closely matched those of the first test. Democrats once again demonstrated a greater overall ability to identify factual statements and reject fictional ones. Left-leaning participants also reported engaging in more everyday conservation behaviors than right-leaning participants.
Mediation analyzes in the second study confirmed that these differences in everyday behavior and policy support were related to measured gaps in factual knowledge. The statistical model showed an indirect link between political affiliation and quiz performance, which in turn led to environmental concern, which ultimately led to behaviors such as turning off lights and reducing resource use.
To test whether this pattern exists outside the United States, the research team launched a third study focused on the United Kingdom. They recruited 216 British adults who identified as supporters of either the left-wing Labor Party or the right-wing Conservative Party. The UK participants completed the exact same quizzes and surveys as the US participants.
Overall, Labor supporters were more accurate on factual statements than Conservative supporters. Unlike the American sample, the difference in false alarm rates between the two political groups in the UK was not statistically significant. Both groups were equally likely to believe false statements at times. Still, when combining the overall knowledge indicators, Labor supporters scored clearly higher than Conservative supporters.
Labor supporters also expressed stronger environmental concerns and supported stronger climate change policies compared to the UK Conservative Party. Although the knowledge gap in the UK was slightly smaller than the gap observed in the US, the underlying pattern remained the same. Increased factual knowledge was consistently associated with stronger support for climate change intervention.
While the data reveals strong connections between political affiliation, climate knowledge, and environmental concern, the researchers note some caveats. The most notable limitation is the use of a cross-sectional study design. A cross-sectional design essentially captures a snapshot of the current situation, rather than capturing data from a single point in time and tracking changes over months or years.
This observational arrangement prevents researchers from firmly establishing cause and effect. Although data shows that knowledge and attitudes are related, it has not been proven that learning new facts automatically changes a person’s worldview. It is also possible that the relationship works in reverse. People with a deep interest in nature are likely to score higher on quizzes because they actively seek out accurate information.
A third, entirely different variable may also be driving both political identity and knowledge level simultaneously. For example, an individual’s trust in an academic institution can influence both how they score on a structured quiz and which political candidate they ultimately support. To answer these questions, scientists need to design experiments that introduce new materials and monitor whether that knowledge changes behavior. If reading a well-researched scientific brief changed participants’ voting habits or daily routines, researchers would be able to pinpoint a direct cause-and-effect relationship.
The authors also note that participants were recruited from popular online survey platforms, resulting in samples that are often younger, better educated, and skewed whiter than the general population. Testing these survey materials on a broader demographic group can help determine whether certain score variations apply across countries.
Furthermore, understanding why different political groups absorb different levels of factual information remains an avenue for future research. Partisan media diets and algorithm-driven social media feeds could expose voters to very different narratives and alter the baseline knowledge measured in these studies. Exploring how fundamental educational differences relate to large-scale policy disagreements could help sociologists and environmental advocates understand how public support for ecological initiatives is divided along partisan lines.
The study, “Political Differences in Climate Change Knowledge and its Association with Climate Change Attitudes, Behavior, and Policy Support,” was authored by Christopher A. Stockus and Ethan Zell.
