Data criticism involves the analysis and evaluation of data quality and interpretation. It highlights potential biases, inaccuracies, and misrepresentations in data usage. This practice is essential in various fields, including social sciences, economics, and public policy. By scrutinising data sources and methodologies, data criticism promotes transparency and accountability. It encourages informed decision-making and fosters a deeper understanding of complex issues.
Public scrutiny of official statistics is a vital feature of any democracy, especially when those numbers shape perceptions of growth, welfare, and policy success. In India, criticism of...
