You Cannot Photograph the Same Street Twice: Reliability Limits in Vision-Language Measurement of Urban Change
Re-photographing an unchanged street changes a perception score by about 66% of the difference between two different streets, showing vision-language models are reliable at hundreds of paired observations but not individual points. Aggregating hundreds of paired observations restores a coherent signal for redevelopment across many locations, proving that context matters more than single measurements.