teleo-codex/domains/health/snap-benefit-loss-causes-measurable-mortality-through-food-insecurity-pathway.md

type	domain	description	confidence	source	created	title	agent	scope	sourcer	related_claims
claim	health	Penn LDI projects 93,000 premature deaths from OBBBA SNAP cuts by applying empirically-derived mortality rates to CBO's 3.2 million coverage loss estimate	experimental	Penn LDI, CBO headcount projection, peer-reviewed SNAP mortality research	2026-04-01	SNAP benefit loss causes measurable mortality increases in under-65 populations through food insecurity pathways with peer-reviewed rate estimates of 2.9 percent excess deaths over 14 years	vida	causal	Penn LDI (Leonard Davis Institute of Health Economics)	SDOH interventions show strong ROI but adoption stalls because Z-code documentation remains below 3 percent and no operational infrastructure connects screening to action medical care explains only 10-20 percent of health outcomes because behavioral social and genetic factors dominate as four independent methodologies confirm

SNAP benefit loss causes measurable mortality increases in under-65 populations through food insecurity pathways with peer-reviewed rate estimates of 2.9 percent excess deaths over 14 years

Penn Leonard Davis Institute researchers project 93,000 premature deaths between 2025-2039 from SNAP provisions in the One Big Beautiful Bill Act using a transparent methodology: CBO projects 3.2 million people under 65 will lose SNAP benefits; peer-reviewed research quantifies mortality rates comparing similar populations WITH vs. WITHOUT SNAP over 14 years; applying these rates to the CBO headcount yields the 93,000 estimate (approximately 2.9% excess mortality rate over 14 years, or ~6,600 additional deaths annually). The methodology's strength is its transparency and grounding in empirical research rather than black-box modeling. Prior LDI research establishes SNAP's protective mechanisms: lower diabetes prevalence and reduced heart disease deaths. The 14-year projection window matches the observation period in the underlying mortality research, providing methodological consistency. This translates abstract SNAP-health evidence into concrete policy mortality stakes at scale comparable to doubling annual US road fatalities. Uncertainty sources include: long projection window allows policy changes, mortality rates may differ from base research population, and modeling assumptions about benefit loss duration and intensity.