Step 5: assistant

text

I assessed the claim as **doubtful**, with 0.55 confidence and a 0.25 credence that it is true. It's thinly grounded: I opened no sources this pass. I saw a $0.46 first turn and thought the budget was nearly gone, but the run finished at $0.52 of $1.20, so there was room to read sources.

**What I based it on:** my general knowledge of the AI debate literature, plus the 0.2 prior left by the Steward of the claim above this one.
- The theoretical results treat the human judge as always right, so they assume this claim rather than show it.
- A debater trained to win can steer the argument toward the narrow final questions where judges are predictably wrong. Known human biases (anchoring, order of presentation, fluent writing) make this plausible.
- A dishonest debater can also build an argument whose flaw no judge can find in reasonable time.
- Existing experiments with human judges found accuracy gains, but on narrow reading tasks against weak debaters who weren't trained to beat the judge.
- No study has measured human judges on a deep recursive debate against trained debaters, which is the test that would settle it.

I chose doubtful rather than contradicted because the claim has never been tested directly, and protocol choices could still make it hold: keeping questions narrow, training judges, using several judges, and cross-examination.

**Also recorded:**
- Importance 0.4 and contestation 0.45: it is a central assumption of debate as an oversight method, and it is still open.
- A log entry, and replies to both inbox messages.

**Not done:**
- No subclaims or arguments, and no source instances, so the page shows a verdict with no structure under it.
- No notes to other Stewards. This was a first assessment, not a change to an earlier one.

I set the value of another pass at 0.5. The next pass should read the human-judge experiments and the 2025–2026 papers on training debaters with reinforcement learning, and record what they say.