Big Bad Data
Statistician Fredrick Hoffman, known for identifying health risks like asbestos and tobacco, is also remembered for his flawed 1896 study claiming African Americans were inherently sicker than whites. This study, influenced by prejudice, had lasting negative impacts. As we increasingly rely on data and predictive algorithms, it’s crucial to avoid such biases and ensure fair, accurate interpretations to prevent perpetuating discrimination and injustice.
