Object 3: Document about energy security in India

May 27, 2021


This document was published in 2018 by Nathaniel Babajide who is a Lecturer at the Center for Energy, Petroleum and Mineral Law and Policy (CEPMLP), University of Dundee, explaining energy security and the impacts on the environment and economy. As he has a lot of experiences and knowledge, he is considered a reliable expert. In the document, statistics and numerical evidence are favourably used by the expert to support the theory and ideas.

This document is particularly interesting for the exhibition because he uses different types of statistics and graphs based on his research on how energy is used, managed and conserved in India which is strong evidence because people perceive that numbers are reliable. According to Babajide (2018 2), “240 million people are still without electricity access”. By saying this, people perceive that there are many people in poverty that we have to help. Quantitative evidence which is more preferred than qualitative evidence is proven and used by experts which allow them to more effectively explain their claims compared to nonexperts’ explanations that may use unevidenced information. They provide actual numbers in support of ideas and conclusions which are difficult to object to, therefore they can change existing knowledge people already have. Thus, experts are more credible and persuasive than others in terms of people’s knowledge and information.

This document also enriches this exhibition because there are limitations that experts can prove with statistics. Even though numbers are not fabricated, they may lead to errors due to carelessness and bias that can arise with statistical interpretation processes. For instance, Babajide (2018, 1) stated that “6% of the world’s primary energy” is used by India, however, it may be misguided since it is impossible to measure accurately how much all of the countries consume energy and how much energy they are in the world. Statistical reliability is crucial but some experts might measure and experient falsely, hence it may not be reliable as much.

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