This visualization explores the relationship between average meat consumption (kg per capita) and life expectancy across countries, using both Ordinary Least Squares (OLS) and Bayesian linear regression models. Each point represents a country, labeled by its ISO code, with a 95% confidence interval shaded around the Bayesian model to convey prediction uncertainty. While higher meat consumption does not straightforwardly correlate with increased life expectancy, the two models offer complementary perspectives on this complex relationship, highlighting the likelihood of other contributing factors like socioeconomic conditions, healthcare access, and environmental influences. This analysis provides valuable insights for researchers, policymakers, and health advocates interested in dietary patterns' broader impacts on population health.