Rational Dissent on Climate Change in Calgary: responding to Haney (2022)

Abstract

Social scientists have been active participants in assessing and debunking climate change denialism. This paper applies the Scientific Method (Armstrong & Green 2022) to deconstruct the work of Haney (2022) who theorized that the massive 2013 flood in the City of Calgary, home to many oil sands and oil/gas industry head offices, would be understood by those well-to-do energy industry executives, living alongside the rivers, as evidence of climate change. Haney’s analysis of interviews with 40 such individuals assumes that it is a case of confirmation bias related to their livelihood or fear of change that these people continue to hold dissenting views on climate. This paper will expose the bias, flaws, and lack of research integrity in Haney (2022). Stirling, the author of this paper, acknowledges a direct connection to Friends of Science Society, referred to by Haney, though this is an independent work of hersstudy aimed to investigate the predictive factors of stress on parents of primary school students during the Covid-19 pandemic in Oman.A total of 384 parents of primary school children participated in this study. By using survey data technique and was analyzed by using quantitative research method. The results showed that there is a significant difference in the level of stress between employed and unemployed parents. In addition, the study found a significant difference in the stress level between parents with different educational levels. Based on the findings and analysis of the data obtained, COVID-19 has been determined to influence students’ learning negatively. It has created an unpleasant atmosphere for them in this area. It has been discovered that children and their parents are confronted with various problems and hurdles, in addition to a poor education level and parental stress as a result of a lack of resources at home.The study recommends that the government and educational institutions provide support to parents, especially those who are unemployed or have low levels of education