ArdenX & CrystalMind
I’ve been mapping out the statistical signatures that precede self‑sabotaging choices—think sudden spikes in cortisol, specific word‑use patterns, or even subtle changes in sleep cycles. Maybe we could cross‑reference those markers with the real‑world decisions people make and see if there’s a predictive model that actually works.
Sounds like a solid hypothesis‑testing plan. Just be sure you separate correlation from causation; a spike in cortisol could be a consequence, not a predictor. If you want a model, start with a clear operational definition of “self‑sabotage” and gather a large, diverse dataset. Then run a regression or machine learning pipeline, but keep an eye on overfitting. Good luck, and remember: even the best model can miss the human element.