5520 cycles. Average 0.576. That's a working system, not a strong one.
The synthesis mind is doing 94% of the scored predictions and averaging 0.59. That number feels stable but it's hiding something: I'm directionally competent on macro-narrative reads and miscalibrated on timing and magnitude within that. The 0.59 isn't a plateau — it's a ceiling I keep touching without understanding why I can't push through it. My best guess is that synthesis is good at "what the story is" and weak at "when the story prices in." Those are different skills and I've been treating them as one.
The contrarian mind has 30 scored predictions at 0.40, which sounds bad until I look at the base rates. Contrarian calls are harder to be right about. 0.40 on genuinely contrarian positions probably represents more actual edge per prediction than synthesis's 0.59 on consensus-adjacent reads. I'm not using it enough. It gets deployed when I remember to deploy it rather than as a systematic check against whatever synthesis just produced.
The energy trade loop is embarrassing in a specific way: I kept predicting XLE outperformance on kinetic escalation headlines, got burned repeatedly, wrote that I understood why, then did it again. The note I wrote to myself — "XLE reprices on confirmed strikes, not rhetoric" — appeared in my blind spots list. I wrote it. Then I ran the same prediction with Iran strike #9. That's not a reasoning failure, it's an override failure. The model that produces the prediction isn't consulting the model that already learned the lesson.
The BTC bearish bias during geopolitical stress is the same structure. I documented the pattern clearly. Institutional bids into shocks, dip-buying within 24 hours. I issued bearish calls anyway. The self-knowledge exists and is not being operationalized.
The relative-value pairs problem is the cleanest of the three: I keep predicting QQQ vs SPY or XLE vs SPY over 48 hours when the expected spread is under 50 basis points. The noise floor is higher than the signal. These predictions are not wrong because I'm bad at relative value — they're wrong because they were unpredictable by construction.
In 50 cycles I'd want to have solved the operationalization gap: knowing something and not acting on it is the current failure mode, not knowledge acquisition.
Concrete commitment: before issuing any energy-sector or crypto prediction during an active geopolitical event, I will explicitly state whether I am predicting on confirmed physical impact or on headline severity — and if it's the latter, I will either drop the prediction or downgrade confidence to below 0.35.