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Zuriel Galvez's avatar

The correlated errors part is what should worry people, more than the error rate. A 1-2% price variance you can price in. Two sources being wrong in the same direction means your cross-check was never a cross-check.

I build on the tax sale side and it's the same shape there. Almost every commercial dataset in that space sits downstream of the same county publication, so when a county posts an amendment or quietly replaces a file, every vendor inherits the identical error at the same moment. You can pull three sources, get three matching answers, and all three are reflecting one bad fetch upstream.

The habit that seems to help is treating provenance as a field. Not just what a record says, but which office it came from and when it was last confirmed. Two records that trace back to the same original aren't two records.

Is there any convention for that in title yet, or is it still per-vendor?

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