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The pivot explorer assigns every sector a displacement and augmentation coordinate. Finance is seventy six and sixty two, healthcare twenty eight and ninety two, and software sixty eight and eighty eight. These plotted constants are not measured personal unemployment probabilities or independently verified labor statistics. The page also repeats a thirty two percent survey benchmark across every sector and profile. That number remains a source attribution, not evidence verified by this video. Selecting finance enters a fixed branch with healthcare bio analytics scored eighty eight and manufacturing eighty four. Software enters another branch with healthcare ninety one and manufacturing eighty seven. Every other sector uses a generic pair scored eighty two and seventy nine. These are assigned paths, not scores learned from a resume or job outcomes. The returned status is always high viability pivot path, so that label is not an independent test of a feasible transition. Finance friction is fixed at thirty four. Other sectors use thirty plus point one five times assigned displacement, rounded. Software therefore yields forty. The concern multiplier is calculated but never used in the result. Selected skills do not change the fixed finance or software scores or paths; generic branches merely copy the first selected skill names into overlap labels. Focus and learner status are stored as context, not used to estimate these numeric outcomes. The first finance path has a fixed sequence across six months: foundations, applied work, and a portfolio project. Changing the profile does not validate that timeline, admission requirements, professional authorization, or available jobs. The local dossier exports selected context and the assigned paths. Treat it as a structured starting point for investigation, not a prediction of employability or a certification that a clinical or regulated task can be performed. Our checks preserve selected local behavior; the external D three matrix is unavailable offline.