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	supports	reweave_edges
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	OBBBA SNAP cuts represent the largest food assistance reduction in US history at $186 billion through 2034, removing continuous nutritional support from 2.4 million people despite evidence that SNAP participation reduces healthcare costs by 25 percent	OBBBA SNAP cuts represent the largest food assistance reduction in US history at $186 billion through 2034, removing continuous nutritional support from 2.4 million people despite evidence that SNAP participation reduces healthcare costs by 25 percent|supports|2026-04-09

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.