What does your data believe about the world it measures?

The problem no one talks about

Your data pipeline can tell you that a column has 12% null values. It cannot tell you whether those nulls mean "not collected," "not applicable," or "suppressed for privacy." The difference changes every downstream decision.

Your model card flags proxy risk. It cannot tell you that a ZIP code column correlates with racial segregation patterns in this specific dataset, or that a drug type field encodes enforcement bias.

Standard profiling tools count. Rose Glass Data translates — surfacing the assumptions, absences, and worldview embedded in your schema before they become invisible errors in production.