Towards a Holistic Framework: Integrating Causation into Human Rights Measurement Practices

Abstract

Human rights studies have increasingly relied on statistical methods such as indicators and benchmarks to measure performance. This empirical approach reflects the current trend in the field. However, the issue of causation is often overlooked in the creation of statistical techniques, which can lead to serious problems. This article suggests that fiscal or temporal resources would be better spent improving techniques for identifying human rights violations rather than creating complicated and ultimately futile statistical methods for tracking human rights achievement. In recent times, the study of human rights has witnessed a surge in the use of statistical techniques, such as indicators and benchmarks, to measure the performance of various actors. This empirical approach has become increasingly popular in the field, reflecting the growing importance of quantitative data in assessing progress. However, despite these techniques' apparent benefits, causation is often overlooked in their creation and application. This can have serious implications for the validity and reliability of such schemes.