This study showcases linear regression as a tool for studying the resource curse by examining the relationship between global uranium supply and the economic performance (measured as GDP) of Kazakhstan and Namibia, two of the world’s major uranium producers. In spite of their significant contribution to global uranium production, the relationship between uranium supply and GDP in these countries remains unclear. Using simple regression analysis and statistical tools, this study assesses the extent to which fluctuations in uranium exports and global market dynamics have influenced GDP growth in Kazakhstan and Namibia. To achieve this, OLS regression models were estimated using historical uranium production values and GDP data, allowing for an empirical assessment of the statistical significance of this relationship. The results suggest that there is a limited and statistically insignificant relationship, indicating that factors other than resource extraction play a more important role in shaping the overall economic performance of these countries. This lack of significance can also lead to questions about inequity in the global uranium trade, with major suppliers not benefiting from exchanges to the same extent as they would in a fair market. This study contributes to a broader understanding of resource-rich economies and challenges the assumption that natural resource wealth directly translates into national economic prosperity.