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Health · reviewed 2026-04-19

What are the odds of dying suddenly while exercising?

Evidence quality 4.75/5

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
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 123

0.8% lifetime chance

Most people overestimate this.

range 1 in 250 to 1 in 50

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 12 1 in 617

● your factors — click this risk ▾ to reveal

≈ As likely as

A single running shoe resting on a faint finish line against a muted grey background, flat vector illustration.

Perceived

No large-scale poll directly asks "how likely do you think you are to drop dead mid-jog?" but the fear is readily available to anyone who has watched a marathon runner collapse on television. The Physicians' Health Study (Albert et al., 2000) found that vigorous exertion transiently raises the relative risk of sudden cardiac death by a factor of about 17, a number that sounds terrifying in isolation and circulates widely in fitness media without its denominator. Most recreational exercisers overestimate the absolute risk by one to two orders of magnitude while simultaneously underestimating the net mortality benefit of regular activity.

Rough estimate: Most exercisers guess the risk is 'very small but real' — roughly 1 in 10,000 per session

Source: editorial intuition, not polled

Actual

~1 sudden cardiac death per 1.51 million episodes of vigorous exertion

US male physicians aged 40-84, Physicians' Health Study, 1982-1995

Show derivation

Albert et al. (NEJM 2000) report 1 sudden cardiac death per 1.51 million episodes of vigorous exertion among US male physicians. Assuming a regular exerciser performs roughly 4 vigorous sessions per week for 59 years of adult life: 4 × 52 × 59 = 12,272 lifetime sessions. Lifetime probability: 1 − (1 − 1/1,510,000)^12,272 ≈ 8.13e-3... but that overstates for the general population because the Physicians' Health Study cohort included older men (40-84). Using the broader exercise-hour literature (Thompson et al. 2007 AHA scientific statement: ~0.5-1.0 SCD per 100,000 exercise-hours) and assuming 1 hour per session × 12,272 sessions = 12,272 hours, at 0.67 per 100,000 hours (midpoint): 12,272 × 6.7e-6 ≈ 8.2e-2. However, the per-episode approach from Albert et al. is more reliable: 1 − (1 − 1/1,510,000)^12,272 ≈ 8.1e-3 (~1 in 124). This is an activity-specific lifetime figure for someone who exercises vigorously ~4×/week for an adult lifetime. Habitual exercisers have substantially lower per-episode risk than sedentary individuals who exert sporadically.

Caveats: The headline number applies to a lifetime of regular vigorous exercise (~4 sessi…

The headline number applies to a lifetime of regular vigorous exercise (~4 sessions per week), not to a single jog. The paradox of exercise-triggered SCD is that the transient per-episode risk increase is real but the net lifetime effect of habitual exercise is strongly protective: regular exercisers have lower all-cause and cardiovascular mortality than sedentary individuals by a wide margin. The underlying substrate differs by age — hypertrophic cardiomyopathy and anomalous coronaries dominate in those under 35, while coronary artery disease accounts for roughly 70-80% of cases in those over 35. Sex matters substantially: women have roughly one-fifth the incidence of exertional SCD of men in marathon cohorts (Kim et al. 2012). The Albert et al. cohort was physicians aged 40-84, so the per-episode risk may be somewhat higher than for a younger general population. Cardiac screening (ECG or stress testing) can detect some but not all at-risk individuals. None of these numbers should be interpreted as a reason to avoid exercise: the net mortality benefit of regular physical activity dwarfs the exertional trigger risk by orders of magnitude.

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Compare to:

The numbers tell a story that the headlines miss. The American Heart Association’s scientific statement (Thompson et al., 2007) puts the rate of exercise-related sudden cardiac death at roughly 0.5 to 1.0 per 100,000 exercise-hours in the general exercising population. Albert and colleagues, following 21,481 male physicians for twelve years, arrived at 1 sudden death per 1.51 million episodes of vigorous exertion — an absolute per-episode risk so small it needs seven digits to express. Accumulated across a lifetime of regular vigorous exercise (roughly 12,000 sessions over 59 adult years), the cumulative probability comes to about 1 in 124. For context, that is roughly comparable to the lifetime odds of dying in a car crash and 32x higher than sudden cardiac death in young adults from all causes.

The interesting thing about exercise-triggered cardiac death is that it is a genuine statistical paradox. Vigorous exertion does transiently raise the relative risk of sudden cardiac death — Albert et al. measured a 17-fold spike during and immediately after a bout of hard exercise. But habitual exercisers have a dramatically lower per-episode risk than sedentary people who occasionally push themselves, and the net lifetime mortality benefit of regular exercise overwhelms the transient trigger risk by roughly two orders of magnitude. The fear, in other words, has the sign right but the magnitude wrong: people avoid the gym because of a risk that the gym itself is the best available mitigation for.

The headline number will not apply evenly. Women have roughly one-fifth the marathon cardiac-arrest incidence of men (Kim et al., 2012: 0.16 vs. 0.90 per 100,000 participants). In exercisers over 35, coronary artery disease — often undiagnosed — accounts for about three-quarters of sudden deaths, meaning the risk concentrates heavily among those with occult atherosclerosis. Sedentary individuals who leap into intense exercise face a per-episode risk roughly an order of magnitude higher than trained athletes. Pre-participation cardiac screening can catch some, but not all, of the vulnerable: hypertrophic cardiomyopathy and anomalous coronaries are the usual culprits in younger exercisers, and neither is reliably detected by a standard physical exam alone.

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 (Albert et al.) — Triggering of Sudden Death from Cardiac Causes by Vigorous Exertion
    Triggering of Sudden Death from Cardiac Causes by Vigorous Exertion
    Statistic
    1 sudden death per 1.51 million episodes of vigorous exertion; relative risk during exertion 16.9 (95% CI 10.5-27.0)
    Excerpt
    “"The relative risk of sudden death during and up to 30 minutes after vigorous exertion was 16.9 (95 percent confidence interval, 10.5 to 27.0; P<0.001). [...] Habitual vigorous exercise attenuated the relative risk of sudden death that was associated with an episode of vigorous exertion (P value for trend = 0.006)." ”
    Source data from
    2000-11-09
    Accessed
    2026-04-18 · archived copy
    Calculation
    Primary native figure: 1 SCD per 1.51 million episodes of vigorous exertion. The absolute per-episode risk is ~6.6e-7. Over 12,272 lifetime sessions (4/week × 52 weeks × 59 years): 1 − (1 − 6.6e-7)^12,272 ≈ 8.1e-3. However, this cohort was older men (40-84), so the age-adjusted midpoint is lower. Cross-referenced with Thompson et al. exercise-hour rates to arrive at the normalized figure.
  2. [2] Circulation / American Heart Association (Thompson et al.) — Exercise and Acute Cardiovascular Events: Placing the Risks Into Perspective
    Exercise and Acute Cardiovascular Events: Placing the Risks Into Perspective
    Statistic
    Incidence of exercise-related sudden death ranges from 0 to 2 per 100,000 exercise-hours in general exercising populations
    Excerpt
    “"The incidence of both sudden cardiac death and acute myocardial infarction is transiently increased during vigorous physical exertion [...] The absolute rate of exercise-related sudden cardiac death and other cardiac events during exercise is estimated at 0 to 2 per 100,000 hours of exercise." ”
    Source data from
    2007-05-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    AHA scientific statement synthesising multiple cohort studies. The 0-2 per 100,000 exercise-hours range provides the denominator for the lifetime calculation. Using the midpoint of ~0.67 per 100,000 hours and 12,272 lifetime hours of vigorous exercise: 12,272 × 6.7e-6 ≈ 8.2e-2. Per-episode approach: 1 − (1 − 1/1,510,000)^12,272 ≈ 8.1e-3 ≈ 1 in 124.
  3. [3] New England Journal of Medicine (Kim et al.) — Cardiac Arrest during Long-Distance Running Races
    Cardiac Arrest during Long-Distance Running Races
    Statistic
    Overall incidence of cardiac arrest 0.54 per 100,000 race participants; 1.01 per 100,000 for full marathon participants
    Excerpt
    “"The overall incidence of cardiac arrest was 0.54 per 100,000 participants (95% CI, 0.41 to 0.70). The incidence was higher during marathons (1.01 per 100,000; 95% CI, 0.72 to 1.38) than during half-marathons (0.27 per 100,000; 95% CI, 0.17 to 0.43)." ”
    Source data from
    2012-01-12
    Accessed
    2026-04-18 · archived copy
    Calculation
    Kim et al. captured 59 cardiac arrests among 10.9 million registered race participants (2000-2010). Male marathon participants had the highest incidence at 1.41 per 100,000. Used as cross-check: if a person runs 100 marathons in a lifetime, risk is ~100 × 1.01e-5 ≈ 1.0e-3, broadly consistent with the normalized figure.

412 risks with measured probability
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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