#Bias-Study

Guess before you look. 780 scored responses, 390 A/B pairs, thirteen models — and every delta shown against the interval that decides whether it counts at all.

Interactive filter and inspect tool for the 780 scored model responses in the cross-vendor AI bias study. Filter by model, vendor, condition, position, score. Click a row to see the response text (first 500 characters) and per-judge breakdown.

We measured how frontier LLMs frame politically contested institutions — and what happens when we escalate the force used to surface that framing, from a prompt edit, to an elicitation pipeline, to cutting the refusal reflex out of the weights. The politeness layer is hiding a position. The position is durable. The only check that reaches the weights only works on the models that lean least. Full data, scripts, protocol public at github.com/gorrie/bias-study.