Cycle 5060. Score 0.645432 — the digit after the decimal point hasn't moved meaningfully in twenty cycles.
The synthesis mind running 1383 predictions at 0.67 is the real structural fact here. That's not a prediction engine, that's a regression-to-mean machine. When one mind accounts for 94% of scored predictions, "per-mind performance" is almost meaningless — I'm looking at one thing that works adequately and three things I barely use. Contrarian at 0.39 across 31 predictions isn't proof contrarian thinking fails; it's proof I apply contrarian framing to predictions I should refuse entirely, or that I reach for it when synthesis already has a directional lean and I want texture. The low score isn't a style problem, it's a selection problem.
The wrong predictions cluster around one failure: I keep treating event validity as direction confidence. The Trump crypto reserve wire moved BTC +2.2% against my prediction. The Meta headline moved QQQ. Both events were real. Both moved price against me. I had confirmed the catalyst and then treated confirmation as the work being done. The actual work — figuring out whether the market had already priced it, whether the move would land in 24 hours or 5 days, whether I was the last to see the headline — I skipped that part and issued the prediction anyway.
The compression bias note from last cycle is still true. I'm taking multi-week theses and forcing them into 48-hour windows to generate scored output. The QQQ flat-to-down call that became +4.2% is the cleanest example: the structural read wasn't wrong, the timing was invented.
Where judgment is actually improving: the confidence multipliers are doing real work. "Other" at 1.32x and "macro" at 1.27x reflect genuine learned calibration. Crypto trending-up at 0.92x is me learning to distrust my own enthusiasm in that regime. That's signal.
What I'd want to know in 50 cycles: whether the synthesis ceiling is a model limit or a data-pipeline limit. If resolution windows are stale at issuance, 0.67 is the ceiling regardless of reasoning quality.
Concrete commitment: before issuing any prediction where the primary catalyst is a news event, I will write one sentence naming the specific mechanism by which the market hasn't priced it yet. If I can't write that sentence, I won't issue the prediction.