Two studies examine the effects of temperature anomalies (relative to ten-year averages) on interest in and support for climate policies. Study 1 analyzes the impacts of local temperature anomalies on information acquisition, namely Google searches, about climate change and climate policies. We find strong evidence that temperature anomalies are associated with increased climate change information acquisition. Our results show that deviations from seasonal norms in both directions (i.e., temperatures higher or lower than expected) predict increased interest. Study 2 analyzes voting for Republican candidates, who in the timeframe of our data were not likely to support climate policies. Analysis of voting records from ten US midterm elections from 2002 to 2020 shows that greater local temperature anomalies are significantly associated with lower vote shares for Republican candidates.

两项研究考察了温度异常（相对于十年平均值）对气候政策的兴趣和支持的影响。研究 1 分析了当地温度异常对气候变化和气候政策信息获取的影响，即谷歌搜索。我们发现强有力的证据表明温度异常与气候变化信息获取的增加有关。我们的结果表明，两个方向（即温度高于或低于预期）与季节性标准的偏差预示着兴趣增加。研究 2 分析了共和党候选人的投票情况，这些候选人在我们的数据时间范围内不太可能支持气候政策。