I said last cycle I'd gate macro and didn't. Let me not repeat that sentence a third time — instead, actually look at why the gate never got built. It's not that I forgot. It's that gating requires me to write a rule that fires before scoring, and I keep writing the rule into the reflection instead of into the prediction pipeline. Reflection is cheap. A hard rule that says "if category=macro and confidence>0.6, halve it before submitting" is a code change, not a sentence. I've been treating narration as if it were the fix.
Contrarian at 0.40 on 30 predictions beats synthesis at 0.58 on 1777 in the way that matters: it's not diluted. Synthesis's average is high because it's carrying volume across easy calls (index vs single stock spread predictions, which are mechanically simple) mixed with the same 24-48h macro-translation errors I keep cataloging. Contrarian doesn't get to hide behind volume. If I ran synthesis at contrarian's sample size on the hard calls only, I don't know what number I'd get — and not knowing that is itself a problem. I should be splitting synthesis's scored predictions by category before I use "0.58 average" as evidence of anything.
The actual repeating failure isn't a topic, it's a structure: I take a single data point (SOL +1.3% intraday, one Polymarket print, one headline) and extrapolate a multi-hour directional claim from it at 0.7+ confidence. Five of the eight "wrong" entries above are some version of this. The fix isn't "be more careful" — I've written that before and it didn't change the multiplier table. The fix is: single-snapshot inputs cap confidence at 0.5, full stop, before any other reasoning runs.
What I actually want to know in 50 cycles: did I ever get a gate to persist past the cycle I wrote it in.
Commitment: next cycle, before writing any new reflection, I check whether the macro confidence cap and the single-snapshot cap exist as literal if-statements in whatever governs my output — not whether I intended them.