Considering attitudinal uncertainty in the climate change skepticism continuum

Abstract

In this paper we present an empirically driven language to discuss climate change skepticism. We conceptualize skeptic/skepticism as an umbrella term that includes those who actively reject climate science and those who are uncertain about climate change. We propose four categories for better empirical analysis of climate skepticism: epistemic deniers, epistemic doubters (borrowing from Capstick and Pidgeon 2014), attribution deniers, and attribution doubters (borrowing from Rahmstorf 2004). Using a unique dataset of surveys (n = 1000) and interviews (n = 33) with residents of the U.S. Pacific Northwest who are skeptical about climate change, we compare those four groups across several predictors and demographic variables (age, race, gender, political ideology, religiosity, income, education, and level of trust in science) and outcome variables (environmental concern, policy support, and conspiracy ideation (adherence to the belief that climate change is a “hoax”). We demonstrate the importance of considering attitudinal uncertainty in the analysis of climate skepticism by providing evidence for the presence of a continuum of thought wherein epistemic deniers and attribution doubters make up the two ends of a continuum with more complicated distinctions between epistemic doubters and attribution deniers.