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Health · reviewed 2026-04-11

What are the odds of dying suddenly as a young, apparently healthy adult?

Evidence quality 4.88/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 3,922

0.03% lifetime chance

range 1 in 5,882 to 1 in 2,000

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 39 1 in 7,843

● your factors — click this risk ▾ to reveal

≈ As likely as

A single thin horizontal line with one small missing segment against a muted grey-blue background, flat vector illustration.

Perceived

Sudden death in a young, apparently healthy adult is not a standard polled fear, but it occupies a strange niche in the public imagination. It surfaces every couple of years when a collegiate basketball player, a marathoner, or a soccer professional collapses on camera, and for a week the story is everywhere. In between those moments, most 18-35 year olds assume their per-year risk of suddenly dropping dead from an undiagnosed cardiac problem is effectively zero — which gets the order of magnitude roughly right but is not literally true.

Rough estimate: Most young adults assume sudden-death risk in their age bracket is ~0

Source: editorial intuition, not polled

Actual

~1.3 sudden cardiac deaths per 100,000 person-years (age 1-35)

persons aged 1-35, Australia and New Zealand, 2010-2012

Show derivation

Bagnall et al. (NEJM 2016) report an annual sudden-cardiac-death incidence of 1.3 cases per 100,000 persons aged 1-35 in a prospective binational (Australia + New Zealand) population study. Incidence is not flat across that age band — the authors find the highest rate (3.2 per 100,000 per year) in the 31-35 subgroup and a lower rate in teenagers — so taking a 1.5 per 100,000 per year average across a 17-year window of young-adult exposure (age 18 through 34) is a reasonable midpoint. Over that window: 1 − (1 − 1.5e-5)^17 ≈ 2.55e-4, or roughly 1 in 3,900. The uncertainty band spans from the low-end population athlete meta-analysis figure (~1 per 100,000 person-years, Landry et al. 2022) to the higher Danish nationwide rate (~2.8 per 100,000 person-years) and to the 13 per 100,000 recruit-years rate Eckart et al. (2004) observed in US military recruits, which is an order of magnitude higher because recruits are under near-constant physical exertion that unmasks occult cardiac disease. The scope is subgroup_lifetime because this number only applies to the ages-18-35 window and specifically to "apparently healthy" young adults dying from previously unrecognised arrhythmic or structural heart disease — not all-cause mortality in that age band.

Caveats: The headline number is specifically "sudden, unexpected cardiac death in a previ…

The headline number is specifically "sudden, unexpected cardiac death in a previously healthy young adult", not all-cause mortality in the 18-35 window (which is dominated by unintentional injury, overdose, and suicide and is roughly two orders of magnitude larger). It excludes deaths where the underlying cardiac disease was already clinically known before the event. Incidence is strongly skewed by sex (male roughly 2-3x female), by race (Black roughly 3x White in the NCAA cohort), by exertional context (military recruits and Division I basketball players run 5-10x the general-population rate), and by age within the 18-35 band (Bagnall reports 3.2 per 100,000 at ages 31-35 versus well under 1 per 100,000 in the late teens). The screening debate is live: Italy's national ECG-based pre-participation screening programme dramatically reduced athletic sudden cardiac death in the Veneto region after 1982 (Corrado et al.), but US sports-medicine bodies have generally declined to adopt mandatory ECG screening because the per-case number-needed-to-screen is very large, the false-positive rate is non-trivial, and the absolute event rate being averted is small. SADS (Sudden Arrhythmia Death Syndrome) specifically — a genetic-channelopathy subset including long QT, Brugada, and CPVT — accounts for roughly 10-20% of the total young-adult SCD burden, not the whole category.

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Compare to:

The numbers are small but not zero. A prospective binational study by Bagnall and colleagues, published in the New England Journal of Medicine in 2016, captured every sudden cardiac death in Australians and New Zealanders aged 1-35 over a three-year window and put the annual incidence at 1.3 per 100,000 person-years. A 20-year review of NCAA athletes by Petek et al. (Circulation, 2024) reports a broadly consistent 1 per 63,682 athlete-years, or roughly 1.57 per 100,000. Accumulate that rate across a 17-year window of young adulthood — ages 18 through 34, the bracket where a “young, apparently healthy adult” typically sits — and the cumulative probability comes out to roughly 1 in 3,900. For scale: that is about 4x the lifetime odds of being killed by a lightning strike, but still roughly 300x lower than the lifetime odds of dying in a car crash.

What makes this particular fear interesting is that for once, the intuition is roughly calibrated. Young adults correctly feel mostly invincible: the overwhelming share of deaths before 35 are from injuries, overdoses, and suicide, not from the heart suddenly stopping mid-sentence. The occasional image of a collegiate athlete collapsing on a basketball court is a genuine reminder that the baseline isn’t zero, but it also isn’t what most young people die of. Likelier tags this entry calibrated rather than debunked or underrated because neither direction is strongly wrong: the underlying cardiac substrate — hypertrophic cardiomyopathy, anomalous coronary origins, long QT syndrome, Brugada syndrome, myocarditis, commotio cordis — is real, genetic or structural in most cases, and typically silent until the event itself. Up to ninety percent of eventual SCD victims have no preceding symptoms, which is what makes the handful of vivid cases so memorable in the first place.

The headline number will not apply to everyone evenly. Eckart and colleagues’ 25-year review of US military recruits (Annals of Internal Medicine, 2004) put non-traumatic sudden death at 13 per 100,000 recruit-years — about an order of magnitude higher than the general young-adult rate — because near-continuous physical exertion unmasks the same occult cardiac disease faster. Within the NCAA population, Petek et al. find Division I male basketball players running at 1 per 8,188 athlete-years, the highest-risk sub-cohort in the dataset, and Black athletes at roughly three times the rate of White athletes. Carrying a first-degree relative who died suddenly before 50, or an undiagnosed hypertrophic cardiomyopathy (prevalence roughly 1 in 500), shifts the personal baseline by roughly one to two orders of magnitude. Italy’s mandatory ECG-based pre-participation screening programme in the Veneto region appears to have substantially reduced athlete SCD there since the early 1980s; US sports-medicine bodies have largely declined to adopt the same regime because the per-case number-needed-to-screen is enormous and the absolute event rate being averted is small. Both positions are defensible, which is itself a sign of how close this fear sits to the edge of what public-health screening can usefully address.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] New England Journal of Medicine (Bagnall et al.) — A Prospective Study of Sudden Cardiac Death among Children and Young Adults
    A Prospective Study of Sudden Cardiac Death among Children and Young Adults
    Statistic
    Annual incidence of sudden cardiac death of 1.3 cases per 100,000 persons aged 1 to 35 years (Australia and New Zealand, 2010-2012); 490 cases captured prospectively
    Excerpt
    “"The annual incidence of sudden cardiac death was 1.3 cases per 100,000 persons 1 to 35 years of age. Persons 31 to 35 years of age had the highest incidence of sudden cardiac death (3.2 cases per 100,000 persons per year), and persons 16 to 20 years of age had the highest incidence of unexplained sudden cardiac death (0.8 cases per 100,000 persons per year)." ”
    Source data from
    2016-06-23
    Accessed
    2026-04-11 · archived copy
    Calculation
    Bagnall's 1.3/100,000/year is the primary native figure. Compounded over 17 adult-young years (18-34 inclusive) using the rough-midpoint 1.5/100,000/year (to account for the fact that the 31-35 subgroup runs hotter than the adolescent subgroup): 1 − (1 − 1.5e-5)^17 ≈ 2.55e-4 ≈ 1 in 3,922.
    Independence
    Prospective binational study; independent of US athlete / military cohorts.
  2. [2] Circulation (Petek et al., American Heart Association) — Sudden Cardiac Death in National Collegiate Athletic Association Athletes: A 20-Year Study
    Sudden Cardiac Death in National Collegiate Athletic Association Athletes: A 20-Year Study
    Statistic
    Overall incidence of SCD in NCAA athletes 2002-2022 was 1 per 63,682 athlete-years; 1 per 43,348 in male athletes; 1 per 8,188 in Division I male basketball players
    Excerpt
    “"The overall incidence of SCD was 1:63 682 athlete-years (95% CI, 1:54 065-1:75 010). [...] The incidence of SCD in college athletes has decreased, with male sex, Black race, and basketball associated with a higher incidence of SCD." ”
    Source data from
    2024-01-09
    Accessed
    2026-04-11 · archived copy
    Calculation
    1:63,682 athlete-years ≈ 1.57 per 100,000 per year, cross-checking well against Bagnall's 1.3 per 100,000 person-years in the general young-adult population. Used as the authoritative point-of-reference for the "young athlete" subgroup and for the Division-I-male-basketball multiplier in the personal factors.
    Independence
    US college cohort; distinct from Bagnall's Australia/NZ general population cohort. Mildly dependent on earlier Harmon/Maron NCAA-registry work that forms part of the same research programme.
  3. [3] Annals of Internal Medicine (Eckart et al.) — Sudden Death in Young Adults: A 25-Year Review of Autopsies in Military Recruits
    Sudden Death in Young Adults: A 25-Year Review of Autopsies in Military Recruits
    Statistic
    126 nontraumatic sudden deaths across 6.3 million military recruit-years (1977-2001), an incidence of 13.0 per 100,000 recruit-years; 86% of deaths were exertional
    Excerpt
    “"Cardiac abnormalities are the leading identifiable cause of sudden death among military recruits; however, more than one third of sudden deaths remain unexplained after detailed medical investigation." ”
    Source data from
    2004-12-07
    Accessed
    2026-04-11 · archived copy
    Calculation
    13.0 per 100,000 recruit-years is roughly 10x the Bagnall general-population figure, which reflects the exertional trigger: recruits are running, rucking, and training almost continuously, and exertion unmasks occult HCM, anomalous coronaries, and commotio cordis events. Used here to anchor the upper end of the uncertainty band and to justify the "exertional exposure" multiplier implicit in the caveats rather than as the primary native figure.
    Independence
    US military autopsy registry; independent of Bagnall (civilian) and of Petek (civilian college athletes), though the cardiac substrate (HCM, anomalous coronaries, myocarditis) overlaps heavily.
  4. [4] Cureus (Landry et al.) / PubMed Central — Incidence of Sudden Cardiac Arrest and Death in Young Athletes and Military Members: A Systematic Review and Meta-Analysis
    Incidence of Sudden Cardiac Arrest and Death in Young Athletes and Military Members: A Systematic Review and Meta-Analysis
    Statistic
    Pooled SCA/SCD rate of 0.98 per 100,000 athlete-years across low-risk-of-bias population-level studies; 1.91 per 100,000 athlete-years for competitive athletes aged 14-25
    Excerpt
    “"demonstrating a rate of 0.98 (95% CI = 0.62, 1.53) per 100 000 athlete-years [...] synthesis of more focused studies of competitive younger athletes demonstrating a rate of 1.91 (95% CI = 0.71, 5.14) per 100 000 athlete-years." ”
    Source data from
    2022-05-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used as the systematic-review anchor bracketing the Bagnall figure from below (0.98/100,000) and the Petek NCAA figure from above (1.91/100,000 for competitive young athletes). The broad consistency across Australia/NZ civilian, US college athlete, and pooled international athlete cohorts is what justifies treating ~1-2 per 100,000 person-years as a defensible midpoint for "apparently healthy young adult" sudden death.
    Independence
    Meta-analysis overlapping with Petek / Harmon / Corrado source studies; treat as partially dependent cross-check, not as an independent fourth data point.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238