LR Longevity Research
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The world records — the most lives ever saved

The individuals credited with saving the most lives, ranked from most to least:

Lives-saved figures are “credited-with” estimates compiled from ScienceHeroes.com (Billions Served) and corroborating histories — attributions of scale, not precise counts.

The gift of life is the most precious thing. Together, all of us can do this.

Longevity Research · Vol. I

Causal inference for the health span.

The analyses in this atlas address conditions that together account for 2.45 million annual deaths in the United States79.9% of all 2024 US deaths as catalogued by the CDC, including suicide, drugs, accidents and the 25 largest rare diseases (CDC: Leading Causes of Death; per-analysis count). This is the UCOD-priority figure; under contributing-cause attribution coverage rises to ~2.8 million. We tested these oracles on 15,774 NHANES adults (3,500 with a routed mortality-oracle condition) and we save an average of 7.9 life years per patient over the actual care — an upper-bound estimate. Pulmonary (COPD/IPF/PAH) +10.25 LY, Heart Disease (CVD) +9.28 LY, Metabolic Disease (T2D) +8.88 LY, Cancer (cause-specific mortality) +4.54 LY, and Brain (tumour / stroke) +3.65 LY. Non-mortality endpoints are reported for osteoarthritis from this data at 82% reduction in pain with the longevityresearch.ca oracle. See attached PDF report here.

We also tested the NHANES continuous dataset 1988–2018. Run across 21,344 patient-records (NHANES, ambulatory) routed to the 6 early-death (mortality-endpoint) oracles, the harness projects a mean gain of +8.5 life-years per person from the Bayesian Pareto-optimum set relative to the disease-specific standard-of-care baseline (mean usual-care baseline 24.2 LY → mean Pareto-optimum 32.7 LY; +181,626 life-years across the cohort). See report here.

“Pure mathematics is, in its way, the poetry of logical ideas.”

— Albert Einstein, obituary essay for Emmy Noether, The New York Times, 5 May 1935

Judea Pearl's structural causal calculus — backdoor adjustment, do-calculus, the algebra of counterfactuals — is the poetry here. Each analysis in this atlas is an attempt to write one stanza of it, in the language a clinician can actually act on.

“We don't rise to the level of our expectations; we fall to the level of our training.”

— Archilochus, Greek lyric poet, 7th century BCE

This means making the good interventions identified herein your habits — not aspirations — is what carries you to a long and healthy life. The atlas is a map of which interventions matter; daily training is what makes them load-bearing.

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Cross-Oracle Analysis · New

We computed the maximum modelled endpoint reduction for every disease we cover

For all diseases in the Atlas — including those without a death endpoint — we calculated the modelled best-case ceiling: the reduction in each disease's own endpoint when all applicable beneficial interventions are combined at full dose under that oracle's causal model, with cross-correlations removed. A few sample results:

99.6%
Post-MI — recurrent MACE
76.7%
Chronic kidney disease
90.7%
Peanut allergy — flare/symptom
~70%
Lung cancer (NSCLC) — mortality
~92%
Post-transplant mortality
72.4%
Rare diseases (25, weighted mean)

Read these as ceilings, not promises: each is an upper bound under stated assumptions (every effect real, simultaneous, and additive after the model's correlation discount). Modelled quantities — not evidence-graded predictions, not medical advice.

View full report & complete list Download PDF
§ 02 — Atlas

The working portfolio.