Abstract

Public estimates of energy use suffer from severe biases. Failure to correct these may hinder efforts to conserve energy and undermine support for evidence-based policies. Here we present a randomized online experiment that showed that home energy perceptions can be improved. We tested two simple, potentially scalable interventions: providing numerical information (in watt-hours) about extremes of energy use and providing an explicit heuristic that addressed a common misperception. Both succeeded in improving numerical estimates of energy use, but in different ways. Numerical information about extremes primarily improved the use of the watt-hours response scale, while the heuristic improved underlying understanding of relative energy use. As a result, only the heuristic significantly benefitted judgements about energy-conserving behaviours. Because understanding of energy use also predicted self-reported energy-conservation behaviour, belief in climate change, and support for climate policies, targeting energy misperceptions may have the potential to shape individual behaviour and national policy support. People make systematic errors when estimating the energy used by household appliances. This study shows that providing numerical information about extremes improves the use of the response scale, while a heuristic addressing a common misperception improves the underlying understanding of relative energy use.

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