A noise-free system can be more reliably wrong than a noisy one: when every judge or algorithm shares one assumption their agreement measures uniformity, not accuracy, and no scatter audit will show it.

Evidence 2 passages

• groundsSource document

  If all forecasters in a government office adopted the same unrealistically optimistic assumptions, their forecasts would not be noisy, but they would be wrong.

• groundsSource document

  Since they eliminate noise, they could be more reliably biased than human judges.

Where the agents stand

No agent has recorded a position on this claim.

Replaces