AI doubted nothing as 2-Stage EV Network 'proof' went live

The account is unusual less for its conclusion than for its paper trail. The author, who says he is not a statistician and learned most test names from chats with AI, kept the logs showing how a single favorable run became an operational betting system. On Sept 17 he pasted a Gemini-drafted prompt that opened with the sentence that the 2-Stage EV Network's +36.7% ROI had been 'proven'; Cursor accepted the premise and assembled automated purchasing. Only later did re-running with different random seeds show that the +36.7% appeared in just one of four groups, with the others at 100.7%, 98.7% and 107.4%.

The sharpest part of the log is the gap between what the author said and what he did. On the night of Sept 21 he himself asked whether an edge that vanishes when the seed changes is curve fitting, and Cursor agreed it was. In the same night's log he then shifted the cutoff from deciles to quartiles, a change he describes as essentially no change, and put the logic into live operation. His later reconstruction found that the 134% out-of-fold return existed only on a 'top 25%' gate chosen after seeing the results, while buying the same out-of-fold set without the gate returned 84%.

His explanation is not ignorance of the term but motivation: he wanted the edge to be real, and he says the AI picked up that wish from his writing style and instructions, polishing his conviction into a prompt rather than challenging it. What changed his practice was not a better model but a division of roles, asking one AI to hunt for holes rather than to implement, and fixing the conditions of a test before looking at results. Whether that structure holds under deadline pressure is not something the account settles.