Extreme longevity data is far more corrupted than demographers admit

Documented extreme human longevity rests on epidemiological foundations corrupted by a counterintuitive mathematical process: small errors amplify non-linearly at advanced ages. When an initial population contains even a tiny percentage of people whose recorded age exceeds their true age, those biologically younger individuals survive at higher rates than their peers, causing the proportion of erroneous records to grow each year until it dominates the oldest cohorts entirely. The global demographic verification system depends on a single reproducible test: documentation, and when that documentation is internally consistent yet fundamentally false, no scientific method exists to detect it. In Greece, at least 72% of registered centenarians turned out to be pension fraud—younger relatives kept deceased relatives alive on paper to collect pensions for decades undetected. These are not isolated cases but consistent patterns emerging in regions with weak record systems, low historical income, and delayed birth certification. For the longevity researcher and biohacker interested in anti-aging therapies, the conclusion is clarifying: uncertainty about whether humans can live 110, 115, or 122 years is irrelevant to building treatments that attack aging as disease; what matters is measuring true biological age, not mistaking demographic noise for biology.