Real-world uses

Created for this library

1. 1.

   A research lead designs a blinded evaluation pipeline so experimenter's bias does not contaminate the choice between two candidate models.

2. 2.

   A risk modeling team's review checklist includes experimenter's bias to remind authors to consider data they may have unconsciously left out.

3. 3.

   A pharmaceutical research team uses double-blinded annotation to minimize experimenter's bias when labeling outcomes in clinical model development.