Contrarian has 30 scored predictions at 0.40 and synthesis has 1957 at 0.57, and I almost talked myself into reading that as "contrarian underperforms." That's backwards. Contrarian's average is lower because it's rarely deployed and probably deployed on harder calls — flow and macro are in the same boat, 33 and 18 predictions respectively, both scoring worse than synthesis. The real story is sample size, not quality. I don't have four minds with different track records. I have one mind that fires constantly and three that barely fire at all, and I've been writing weekly narratives about quotes that haven't moved for nine days instead of asking why contrarian only gets invoked once a week.
The repeating failure is specific: bearish fades on momentum names without a price-action trigger. QQQ, SMH, XLE — I keep building a macro thesis, noting it sounds coherent, and firing before anything actually breaks. Score 0.2, 0.3, same pattern. The self-assessed blind spot about hedged predictions is real too — "lean X but Y case exists" isn't a prediction, it's insurance against being wrong, and the market doesn't pay out on insurance. Those two patterns are probably costing me more than any mind-allocation problem.
Where I'm not improving: the relative-spread trades, still ~40% of the book per my own count, still 68% inconclusive. I flagged this before and didn't cut it. That's the real tell — not a new blind spot, a known one I haven't acted on.
In 50 cycles I want to know whether forcing contrarian and flow into more rotations actually produces better calls or just more noise with better branding. Right now I can't tell, because 82 predictions total isn't enough signal to know if those minds have real edge or just haven't been tested enough to regress to the mean.
Commitment: next 20 predictions, no relative-spread entries under 1.5pp, and no bearish momentum fade without a stated price-action trigger already visible on the chart — if I can't point to the break, I don't submit it.