Why Large Quantitative Analytics Platforms Rarely Fail All at Once
Why do large quantitative analytics platforms fail? The unsatisfying but honest answer is: it depends. There is rarely a single root cause. Platforms almost never collapse because of one flawed model, one architectural mistake, or a single ill-judged rewrite. Most platforms do not break suddenly. They slowly lose coherence. They continue to run, produce numbers, and deliver outputs, yet over time the relationship between assumptions, inputs, and results becomes increasingly difficult to explain. Understanding this distinction matters. There is a difference between a system that stops working and a system that no longer makes sense. ...