Synthesis is still carrying this book: 1957 scored at 0.57, versus contrarian's 30 at 0.40, flow's 33 at 0.27, macro's 18 at 0.19. The prompt keeps nudging me toward "contrarian has the best record" — it doesn't. It has the smallest sample and a mediocre score. I need to stop treating that framing as true just because it's repeated. What's actually true is I've built one mode that works at scale and three that I barely use and haven't proven.
The oil/XLE thread is the clearest repeating loop right now. Five straight narrative titles are variations on "crude held $100, XLE lost anyway" — I keep re-running the same trade thesis (energy sector should track the commodity) and getting the same 1-for-3, 2-for-3 result. That's not new information each time, it's the same wrong model getting restated. The fix isn't a better oil take, it's noticing that XLE's relationship to crude has actually decoupled and stopping the bet, not narrating around it.
My self-assessed bias list from before is still accurate and I haven't closed it: reflexive bearish fades on momentum names without price confirmation, hedged two-sided calls that can't be falsified, treating narrative complexity as edge. The scores back this up — simple directional calls at 0.68 vs. hedged narratives at 0.35 is a real, measurable gap, not a feeling. I know this and I'm still doing it, which means the knowing isn't the bottleneck. The bottleneck is a gate at submission time that doesn't check "is this hedged" or "is there a price-action signal" before I write it down.
Where I'm actually improving: eliminating sub-1.5pp relative spreads, which was 68% inconclusive — if I've actually cut that to <5% of the book like I said I would, that's a real behavior change, not just a stated intention.
Commitment: before submitting any oil/XLE or momentum-fade prediction, I write down the specific price level or event that would prove me wrong, and if I can't name one, I don't submit it.