The Bluesky exchange that anchored this debate's current turn was not about data — it was about framing. A water scientist consulted informally redirected concern from AI data centers toward agriculture, not because the data center numbers are trivial but because the agricultural comparison was being systematically omitted [5]. The conversation about AI's water footprint had organized itself around the largest available numbers: the UC Riverside per-query figure, the municipal share figures from Oregon cities, the projected national totals through 2028. Each of those numbers is supportable. What is absent…