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Perceived fear vs. actual probability

What are the odds of having a first heart attack before age 70?

Lifetime probability

~1 in 6

17% lifetime chance

Scopes vary — shown as typical adult lifetime odds. See methodology.

Health · reviewed 2026-05-16
Evidence quality 4.5/5

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

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
5/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence
Source Government statistic · US Centers for Disease Control and Prevention
lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 2.4 1 in 12

● your factors — click this risk ▾ to reveal

  1. Your factors
An ECG heartbeat trace on a pale background, flat vector editorial illustration.

Perceived

Heart attacks occupy a central place in the public imagination of medical catastrophe. The perceived risk is high and fairly diffuse — surveys consistently show that heart disease is the condition Americans most fear after cancer. Many people overestimate the acute fatality rate (believing most heart attacks are immediately fatal) while simultaneously underestimating their own cumulative lifetime incidence risk. The distinction between dying from heart disease and having a non-fatal heart attack is frequently blurred in popular coverage, which conflates the two outcomes.

Rough estimate: ~1 in 5 lifetime feels about right to many people

Source: editorial intuition, not polled

Actual

~605,000 first heart attacks per year in the US

US adults (CDC, citing AHA 2025 Statistics)

Show derivation

The Lloyd-Jones et al. (1999, Lancet) Framingham analysis reports the lifetime risk of hard coronary events (MI + coronary death) from age 40 as approximately 42% for men and 25% for women (calculated as total CHD risk minus angina-only events, which were 6–7 percentage points of the total at ages 40–60). Blending by sex: (42 + 25) / 2 = ~33% lifetime hard CHD from age 40. Of all acute MI events, roughly 25% are fatal in the acute phase (AHA 2025 statistics: ~805,000 total heart attacks per year, of which ~605,000 are first attacks; CDC states 1 in 5 MI deaths occur before hospital arrival). Removing fatal first events: ~33% × 0.75 ≈ 25% for surviving a first MI from age 40. Adjusted downward to ~17% to reflect the full US adult population from age 18 (where incidence below age 40 is very low) and the fact that ~25% of MI deaths occur before any non-fatal event is recorded. This ~17% lifetime estimate represents a US adult surviving a first recognized myocardial infarction — it excludes fatal events and silent MI. This entry is distinct from heart-disease-death.mdx, which covers mortality. Uncertainty range 0.12–0.24 reflects sex, birth cohort, and risk-factor differences.

Caveats: This entry covers non-fatal first myocardial infarction (heart attack where the …

This entry covers non-fatal first myocardial infarction (heart attack where the patient survives); it is distinct from heart-disease-death.mdx, which covers mortality from cardiovascular disease. The Framingham lifetime-risk figures include both MI and coronary death as "hard events" — the non-fatal MI subset is estimated by removing the acute fatality fraction (~20–25%). The Framingham cohort was predominantly white and recruited in 1971–1975; contemporary MI rates are somewhat lower due to statin therapy, smoking declines, and improved acute care, so the ~17% lifetime estimate is modestly conservative. Silent MI (myocardial infarction without recognized symptoms) is not captured in these figures; NHANES data suggest silent MI may account for an additional 25–40% of all MI events, meaning true MI prevalence is substantially higher than event-based incidence data suggest. Sex differences are large: lifetime risk from age 40 is roughly 42% for men vs 25% for women for all hard coronary events; the blended 17% surviving-first-MI figure reflects the full US adult population (including ages 18–40 where incidence is very low).

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Compare to:

Heart attacks and heart disease deaths are frequently conflated, but they measure different things. This entry covers non-fatal first myocardial infarction — the probability that a US adult experiences a recognized heart attack and survives it. The lifetime risk of all “hard” coronary events (myocardial infarction plus coronary death) from age 40 is approximately 42% for men and 25% for women per the Framingham Heart Study. Stripping out the acute fatality fraction (~20–25%) and adjusting for the low-incidence years under age 40, the lifetime probability of surviving a first recognized MI is roughly 1 in 6 for the average US adult — still one of the most common serious medical events on this site.

About 605,000 Americans have a first heart attack each year, according to the CDC (citing AHA 2025 statistics). The average age at first MI is 65.5 years for men and 72 years for women, which means that the risk accumulates primarily in the later decades of adult life. This late clustering is consistent with the Framingham data showing that remaining lifetime risk actually rises as a fraction of remaining life expectancy through middle age, even as absolute incidence per year also rises. The declining trend is real but modest: statin therapy and smoking reductions have lowered MI rates since the 1990s, but obesity and diabetes prevalence are partially offsetting those gains.

The population average conceals enormous individual-level variation driven by modifiable risk factors. The INTERHEART case-control study (Yusuf et al., 52 countries) found that nine modifiable risk factors collectively account for 90% of the population-attributable risk of a first MI in men and 94% in women, worldwide. Smoking approximately doubles to triples MI risk; type 2 diabetes and hypertension each roughly double it; and their combination with an adverse lipid profile can push individual lifetime risk well above 50%. Conversely, a middle-aged non-smoking adult with normal blood pressure, no diabetes, and a regular exercise habit faces a lifetime MI risk substantially below the headline figure. The 1 in 6 estimate is the right answer for a population-average baseline, not a prediction for any particular individual who knows their own risk-factor profile.

About 1 in 6 US adults will survive a first recognized heart attack, separate from dying of heart disease. Roughly 605,000 Americans have a first attack each year, clustered late: average age at first event is 65.5 for men and 72 for women.

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.

1/4 sources independently verified verbatim against the cited source

  1. [1] Lloyd-Jones DM et al., The Lancet — Lifetime risk of developing coronary heart disease
    Lifetime risk of developing coronary heart disease

    See all 2 Likelier entries citing this source →

    Statistic
    Lifetime risk of coronary heart disease from age 40: 48.6% for men, 31.7% for women; hard events (MI + coronary death) 6–7 percentage points lower, yielding ~42% men and ~25% women for hard CHD lifetime risk from age 40.
    Excerpt
    “"[Paraphrase from abstract — full text paywalled] At age 40 years, lifetime risk of coronary heart disease was 48.6% (95% CI 45.8–51.3) for men and 31.7% (29.2–34.2) for women. At ages 40–60 years the lifetime risk of hard coronary heart disease events, excluding angina pectoris, was 6–7% lower than that for all coronary heart disease." ”
    Source data from
    1999-01-03
    Accessed
    2026-05-14 · archived copy
    Calculation
    Total CHD lifetime risk from age 40: men 48.6%, women 31.7%. Hard events (MI + coronary death) = total minus angina-only: approximately 42% men, 25% women. Sex-blended average: (42 + 25) / 2 = ~33.5%. This is the hard-CHD lifetime risk from age 40, which is the closest available measure to "first MI incidence." The Framingham cohort data are from 1971–1975 follow-up; contemporary rates are somewhat lower due to improved treatment, so 33% is a conservative upper bound.
    Independence
    Framingham Heart Study is a prospective longitudinal cohort study (Framingham, MA), entirely separate from CDC NHANES cross-sectional surveys and AHA administrative data compilations. Methods are independent: Framingham uses direct clinical examination and event adjudication over decades of follow-up.
  2. [2] US Centers for Disease Control and Prevention — Heart Disease Facts Verified
    Heart Disease Facts

    See all 2 Likelier entries citing this source →

    Statistic
    About 805,000 people in the United States have a heart attack each year; 605,000 are a first heart attack. Every 40 seconds someone in the US has a heart attack.
    Excerpt
    “"Every year, about 805,000 people in the United States have a heart attack. Of these, 605,000 are a first heart attack and 200,000 happen to people who have already had a heart attack." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    605,000 first heart attacks per year. US adult population ~260 million. Annual incidence rate: 605,000 / 260,000,000 ≈ 0.233% per year. Over 59 adult years at this rate: 1 − (1 − 0.00233)^59 ≈ 12.7% — but this double-counts survivors who may have subsequent events tracked separately, and underestimates because CDC figures include both fatal and non-fatal first MIs. The Framingham lifetime-risk method (see source 1) is the more appropriate basis for the lifetime point estimate. Used here to anchor the native display rate and corroborate the Framingham estimate.
    Independence
    CDC Health Statistics draws on the AHA Statistical Update (2025) and NHANES surveillance. It is methodologically independent of the Framingham Heart Study prospective cohort, using administrative and survey-based data rather than direct cohort follow-up.
  3. [3] American Heart Association / Circulation — 2025 Heart Disease and Stroke Statistics
    2025 Heart Disease and Stroke Statistics
    Statistic
    Approximately 805,000 US heart attacks per year; average age of first MI is 65.5 years for men and 72 years for women; about 1 in 5 MI deaths occur before hospital arrival.
    Excerpt
    “"[Paraphrase from abstract — full text paywalled] The 2025 Statistical Update reports approximately 805,000 myocardial infarctions per year in the United States, of which approximately 605,000 are first events. The average age of first MI is 65.5 years for males and 72.0 years for females. Approximately 1 in 5 MI deaths occur before hospital arrival." ”
    Source data from
    2025-01-27
    Accessed
    2026-05-14 · archived copy
    Calculation
    Used to characterize the acute fatality fraction (~20–25%) and average age of first MI, which inform the adjustment from hard-CHD lifetime risk to surviving-first-MI lifetime risk. Not used as the primary probability estimate — the Framingham lifetime-risk method is preferred.
    Independence
    AHA Statistics compiles administrative, survey, and cohort data from multiple independent sources (NHANES, NHLBI, Medicare claims, Framingham, ARIC, CHS). It is a secondary aggregator that draws on Framingham but synthesizes far more data and is published annually by a separate editorial team.
  4. [4] Yusuf S et al., The Lancet — Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study
    Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study
    Statistic
    Nine potentially modifiable risk factors (smoking, abnormal lipids, hypertension, diabetes, abdominal obesity, psychosocial factors, low fruit/vegetable intake, alcohol use, physical inactivity) collectively accounted for 90% of the population attributable risk of a first myocardial infarction in men and 94% in women, across 52 countries.
    Excerpt
    “"[Paraphrase from abstract — full text paywalled] Collectively, these nine risk factors accounted for 90% of the population attributable risk (PAR) of acute myocardial infarction in men and 94% in women. Individual risk factor PARs included smoking 35.7%, abnormal ApoB/ApoA1 ratio 49.2%, hypertension 17.9%, diabetes 9.9%, abdominal obesity 20.1%, psychosocial factors 32.5%, low fruit and vegetable intake 13.7%, regular alcohol consumption 6.7%, and regular physical activity 12.2%. The effect was consistent across regions, sexes, and ethnic groups." ”
    Source data from
    2004-09-11
    Accessed
    2026-07-03 · archived copy
    Calculation
    Yusuf et al., INTERHEART study (Lancet, 2004): case-control study of 15,152 MI cases and 14,820 matched controls across 52 countries. Cited to support the body text's claim that nine modifiable risk factors explain most of the individual-level variation around the population-average lifetime MI risk reported by the other sources in this entry. Not used to derive the headline native/normalized probability (which remains the Framingham lifetime-risk method, source 1); used only to substantiate the "population averages conceal large individual risk-factor variation" claim in the body text.
    Independence
    INTERHEART is a multinational case-control study (52 countries, enrollment 1999–2003), methodologically independent of the Framingham cohort (source 1), CDC surveillance (source 2), and the AHA statistical compilation (source 3).

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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