Black Healthspan is built to be cited. Every number, summary, and recommendation passes through a four-stage pipeline — federal sources, AI translation, credibility scoring, and cultural review — before it reaches you.
Our research pipeline pulls daily from the CDC (BRFSS, NHANES, NVSS, MMWR), NIH, PubMed, USPSTF, peer-reviewed journals, and federal demographic databases. Every datapoint cites its origin and the date it was last refreshed.
We use frontier large language models to translate raw scientific text into plain language. Every AI-generated summary is reviewed against the original source for fidelity before publication. AI augments — it never replaces — editorial review.
Each study is assigned a credibility score based on publication venue, study design, sample size, replication, and applicability to Black populations. Scores are visible on every research card.
Our editorial standards explicitly require race-stratified data when available, social determinant context, and asset-based framing — disparities are described as systemic, not personal.
“If it can’t be cited, it doesn’t ship. Rigor is the floor, not the ceiling.”
New studies, refreshed indicators, and plain-language briefings on what actually moves Black health outcomes.
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