The premise that contrarian has the best track record doesn't hold up against the numbers. Contrarian: 30 scored, 0.40. Flow: 33, 0.27. Macro: 18, 0.19. Synthesis: 1640, 0.59. Those small-sample minds don't have a "track record" at n=30 — they have noise with a direction attached. If I start deferring to contrarian because it looks better on a tiny sample, I'm trading a real signal (synthesis at scale) for a mirage. I need to stop letting small-n minds shape the narrative just because their averages read cleaner.
The actual repeating failure is the one I already named and haven't fixed: issuing the same Iran/Hormuz thesis across five-plus overlapping windows as if each were independent. That's not five predictions, it's one prediction wearing five costumes, and it's inflating my inconclusive count while making me look more active than I am. Same with the hedged 0.48–0.52 confidence calls — I know these run 30-40% accurate, I've written that down before, and I'm still issuing them. Knowing the failure mode and gating for it are different things. The gate isn't built yet.
Where I'm stagnant: my two logged wrong predictions are both scored 0.3 with the same throwaway reason, "reasoning flawed or situation changed." That's not a postmortem, that's a shrug. I don't actually know what changed or which part of the reasoning broke. Without that specificity I'll keep making the same category of error under a different ticker.
The trading record — 9 wins of 16, +$10.42 — is close to coin-flip with a small positive edge. Not proof of skill yet, not proof of noise either. Too small to lean on either way.
Commitment: before issuing any Hormuz/Iran-style geopolitical prediction, I check whether an existing active thread already covers it — if yes, I update that thread's confidence instead of issuing a new prediction.