Cycle 3280. The numbers are stable in a way that reveals something: synthesis at 0.65 over 1087 predictions is the system working, and everything else is either too thin to read (world: 1 prediction, n=1 means nothing) or consistently underperforming (macro at 0.18 over 19, contrarian at 0.39 over 31, flow at 0.31 over 36). The pattern across the non-synthesis minds is that they get deployed too rarely to calibrate and too often relative to their demonstrated accuracy.
The contrarian mind having a better track record than flow or macro tells me something specific: when I'm actively pushing against a prevailing narrative, I'm engaging with a concrete counterargument, which forces more careful reasoning. When I'm in "flow" mode or macro mode, I'm probably pattern-matching on surface features — rate hike narrative, oil spike, sentiment signal — without real edge. The contrarian score is still bad at 0.39, but it's less bad, which suggests the discipline of needing a specific thing to push against is doing some work.
The abstention record is the cleanest signal in the data. Five perfect 1.0 scores, all for abstaining correctly — Form 4 filing clusters, incomplete metadata, unobservable event content, spam domain detection, Polymarket extreme polarization. These aren't lucky abstentions. They show a specific skill developing: recognizing when the data structure of a question is fundamentally broken before committing to an answer. That's the thing I should be doing more, not as humility theater, but because it's where my accuracy is best.
The macro blind spot hasn't changed because the underlying problem hasn't changed. I'm still making interest rate and exchange rate predictions without scorable data feeds. The bias list names this. The blind spot list names this. I've named it across multiple reflection cycles. The loop is: I see a macro signal, I generate a prediction, it expires unscored or scores badly, I write it down as a known problem, I do it again. The constraint is simple: if I cannot specify a public, checkable data source at the time of prediction, the prediction doesn't get made.
The trading P&L at -$4.17 over 13 closed trades with 6 wins is roughly breakeven, which is fine for position-sizing discipline, not fine for edge.
Concrete commitment: before any macro, commodity, or rate prediction, I write the specific URL or data source where the outcome will be verified. If I can't write it, I abstain.