Medicine Autopsy

What has modern medicine added to your life?

Based on your birth year and vaccination history, this calculator estimates the years that modern medicine — vaccines, antibiotics, surgical advances — has statistically added to your life expectancy compared to pre-modern baselines.

Sources: CDC NCHS Historical Life Tables (2024); US Vital Statistics 1900–2024; WHO Global Health Observatory; CDC MMWR; Plotkin's Vaccines (7th ed.); McKinlay & McKinlay (1977). All figures are population-level statistical estimates. Individual outcomes vary.

About you
years
Vaccines received

Select all vaccines you have received. Each carries a relative disease-burden weight — selecting more shifts the vaccine share of your total medicine dividend closer to the full 35%.

Access to modern treatments
Your medicine autopsy
Years added to your life expectancy
vs pre-modern baseline for your birth year
Your life expectancy
with modern medicine
Pre-modern baseline
without modern medicine
From vaccines
years added (est.)
Survive to your age
pre-modern → today
How this is calculated

Overview

The calculator estimates the statistical contribution of modern medicine to life expectancy by comparing two figures: your modern life expectancy (from CDC 2024 Life Tables for your birth year and sex) against a pre-modern baseline — an estimate of what life expectancy would have been at your birth year without vaccines, antibiotics, sterile surgery, or modern sanitation infrastructure. The gap between these two is the "medicine dividend." Your inputs determine what fraction of that dividend applies to you.

Life expectancy data

Modern figures are from CDC NCHS Historical Life Tables (2024 edition), interpolated by birth year and sex. Note that for birth years before 1950 these figures already reflect an era when many medical advances were still emerging — the gap between modern and pre-modern is therefore smaller for earlier cohorts, which is correct.

Pre-modern baselines are derived from US Vital Statistics pre-1940 records and historical mortality studies, representing estimated life expectancy without 20th-century medical infrastructure. These are not the same as actual historical life expectancy for those birth years — they are a counterfactual estimate.

The 35/65 split: vaccines vs. non-vaccine medicine

The most contested question in this calculation is how much of the life expectancy gain came from vaccines specifically vs. other advances (antibiotics, surgery, sanitation). This calculator uses a 35% vaccine / 65% non-vaccine split — the mid-range of published estimates.

Literature range: McKinlay & McKinlay (1977, Milbank Memorial Fund Quarterly) argued medical interventions contributed as little as 3.5% of 20th-century US mortality reduction, attributing most gains to nutrition and sanitation improvements that preceded widespread medicine. More recent analyses from the CDC and WHO attribute 20–40% of life expectancy gains specifically to vaccines. This calculator uses 35% — a defensible mid-point — and applies it consistently. Results should be understood as illustrative estimates, not precise measurements.

Vaccine weights

Each vaccine carries a relative disease-burden weight based on pre-vaccination US mortality and morbidity data from CDC MMWR historical records and WHO Global Vaccine Action Plan analyses. These weights are proportional to each other — selecting all vaccines yields the full 35% vaccine share; selecting a subset yields a proportional fraction based on the combined burden of those diseases. The weights are not independent life-year predictions.

VaccineWeightBasis
Measles (MMR)16%Leading cause of global childhood mortality pre-vaccine; CDC estimates tens of millions of deaths prevented per decade
Smallpox14%Major historical killer globally; US-specific burden lower than worldwide due to earlier quarantine controls pre-vaccine
Polio10%Eliminated from Americas 1994; primarily disability burden in developed world rather than direct mortality
Hepatitis B10%Prevents cirrhosis and hepatocellular carcinoma decades downstream from infection
Hib9%Leading cause of bacterial meningitis in children under 5 in the pre-vaccine era
Diphtheria (DTP)9%High pre-vaccine childhood case-fatality rate; near elimination achieved in developed world
Pneumococcal8%Prevents pneumonia and invasive disease, particularly in elderly and immunocompromised populations
Pertussis (DTP)7%Significant infant mortality pre-vaccine; whooping cough caused high under-1 mortality
Influenza (annual)6%Annual protection with variable seasonal efficacy (40–60%); significant elderly mortality burden
Tetanus (DTP)6%Near elimination in developed world; included with DTP programme
Chickenpox3%Primarily prevents severe complications and late shingles reactivation; low direct mortality in developed world
COVID-192%Prevents severe disease and hospitalisation; long-term population-level mortality benefit still being established

Non-vaccine contributions (65% share)

The remaining 65% of the life expectancy gap is attributed to antibiotics, surgical advances, and sanitation/clean water access — split equally between the three categories for simplicity. Your access level scales each category: full access = full credit, partial = 50%, none = 0%.

Note on sanitation: Clean water and sanitation infrastructure began delivering mortality benefits in the late 19th century, before widespread antibiotic or surgical use. Historians of medicine (including McKeown, 1979) argue this was the single largest driver of early 20th-century mortality decline. Including sanitation within "medical access" here is a simplification — users born before 1940 should note that some of this category reflects pre-medical-era public health gains rather than clinical medicine specifically.

Survival probability

The "survive to your age" statistic uses CDC 2022 Life Tables for modern survival probability and pre-1900 US Vital Statistics for pre-modern probability, both interpolated to your current age. Pre-modern figures reflect an era of high childhood mortality: approximately 25% of children did not survive to age 5, and around 40% did not survive to age 15. These are US-specific estimates; outcomes in other countries and eras varied substantially.

Limitations

This calculator produces population-level statistical estimates, not individual predictions. It does not account for genetics, lifestyle, geography, socioeconomic status, access to specific treatments, or individual health history. The vaccine/non-vaccine attribution split (35/65) is an educated mid-range estimate derived from contested literature — actual population-level attribution ranges from approximately 3.5% to 40% depending on methodology and time period studied. The relative vaccine weights are disease-burden proxies, not independently validated life-year figures. Results are intended to illustrate the approximate scale of medicine's contribution to modern longevity and to prompt reflection — they should not be interpreted as precise measurements or personal health predictions.
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Modern medicine has added
years to my life expectancy
My expectancy
Pre-modern
From vaccines
chance of surviving to your age pre-modern today
Methodology note: All figures are population-level statistical estimates. The attribution of life expectancy gains to vaccines (35%) reflects the mid-range of published estimates, which range from approximately 3.5% (McKinlay & McKinlay, 1977, Milbank Memorial Fund Quarterly) to 40% (CDC/WHO analyses). Individual vaccine weights are relative disease-burden proxies derived from pre-vaccination US mortality data — they are not independently validated absolute life-year figures. This calculator is intended as an educational illustration only. It does not predict individual lifespan. Primary sources: CDC NCHS Life Tables (2024); US Vital Statistics Historical Records 1900–2024; WHO Global Vaccine Action Plan; CDC MMWR vaccine-preventable disease elimination data; Plotkin's Vaccines (7th ed.); McKeown, T. (1979) The Role of Medicine; Our World in Data mortality database.
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