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Candidacy vs Selection: What Happens When You Stop Studying Only the Winners?

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

We thought we were measuring AI recommendations. We weren't. At least, not completely. For most of our previous research, we analyzed brands that AI had already recommended. That created a statistical problem. We were studying the population that had already passed the gate. So we changed the quest…

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  1. 2026-09-12 20:12 · DEV Community — Machine Learning
    Candidacy vs Selection: What Happens When You Stop Studying Only the Winners?

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