THE LITERATURE BEFORE THE MECHANISM: A Comprehensive Literature Review of the Longevity Asymmetry Corpus and Its Relationship to the Existing Intellectual Record Across Ten Disciplines

Charles Darwin did not discover a new area of biology. He identified a mechanism — natural selection — that reorganized every pre-existing observation about life: what had been accurate description became, after 1859, accurate description missing its organizing principle. The organisms were the same. The fossils were the same. The geographical distributions were the same. What changed was whether the observations had a mechanism that explained them, or were merely catalogued without one. After Darwin, no account of biological life that ignored selection pressure could be right about the thing that turned out to matter most — not because it was wrong about the facts it addressed, but because it was wrong about what organized those facts. The Longevity Asymmetry Corpus (Huynh 2026a–z) performs the same operation on a different domain. The ten traditions this literature review examines — political philosophy, bioethics, AI safety, evolutionary biology, comparative historical sociology, critical theory, philosophy of science, religious and traditional thought, governance studies, and the emerging biology of aging — all contain accurate observations, valid arguments, and genuine insights. None of them, prior to this corpus, named the mechanism that organized the most consequential question they jointly address: what governs the distribution of biological time when that distribution ceases to be determined by biology alone. That mechanism was invisible to all ten traditions for the same reason: it required a precondition whose absence had never been noticed because its presence had never varied. The Mortality Symmetry Axiom (MSA) — the historical condition under which biological lifespan, though unequal in timing, has been bounded in years rather than generations (boundedness), produced by many small causes rather than one purchasable intervention (diffuseness), and opaque to specific attribution (no bereaved family can identify a specific transaction that was withheld from them as the cause of their loss) (opacity) — was not a shared cultural assumption that could have been recognized and questioned. It was a physical fact. The traditions did not choose to build inside it. They built inside it because the physical world had never, across the entirety of recorded history, given any of them reason to doubt it. As of June 2026, the MSA is failing empirically. NewLimit’s $435 million Series C (June 2, 2026) disclosed that a longevity research timeline of “more than a decade had collapsed to under five years,” explicitly crediting AI acceleration. Life Biosciences administered the first human dose of a cellular rejuvenation therapy on June 9, 2026 — two days before the first paper in this corpus was publicly timestamped. The Centers for Medicare and Medicaid Services’ cardiovascular reclassification of semaglutide (March 2024) produced the first documented instance of the Biological Zero-Day Mechanism (BZM — the process by which AI-driven reclassification of a condition from untreatable to treatable produces a discrete, institutionally authored, dated event with a named price point — formalized as a Compound Poisson Jump Process in Huynh 2026d) operating in its predicted form: a specific coverage decision, on a specific date, by a specific institution, for a specific intervention at a specific price, reclassifying a set of ongoing deaths from biologically inevitable to economically contingent upon access conditions. Anthropic’s “When AI Builds Itself” (June 4, 2026) disclosed that task-completion horizons for AI systems are doubling approximately every four months. On July 1, 2026 — after this corpus was publicly