HOW WE KNEW COVID WAS OVER (AND WHAT OUR MODELS HAD TO UNLEARN)

Summary from the TLDR Data newsletter

Model maintenance is not just retraining. When COVID-era demand patterns faded, Airbnb's forecasting team separated parameter drift from structural change, choosing among refit, respecify, or hold decisions instead of blindly updating thousands of markets. The result was a useful operating model for production forecasting under regime shifts.