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Natural · reviewed 2026-04-16

What are the odds of dying from an asteroid or comet impact?

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 1,351,351

0.00007% lifetime chance

Most people overestimate this.

range 1 in 10,000,000 to 1 in 166,667

lifetime, global adult each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A single stylized asteroid silhouette against a dark sky with faint star-field dots, flat vector illustration.

Perceived

Asteroid impacts occupy a peculiar slot in the public imagination: simultaneously dismissed as science fiction and cited as an existential threat. No rigorous population survey tracks how often Americans worry about asteroid strikes specifically, but asteroid-impact scenarios reliably generate outsized media coverage whenever a newly discovered near-Earth object makes a close approach. The result is an availability-driven sense that the risk is either zero or catastrophic, with little middle ground.

Rough estimate: ~1 in 10,000 lifetime feels plausible to many who recall the dinosaur analogy

Source: editorial intuition, not polled

Actual

~100 expected fatalities per year globally (statistical average)

Global population, all ages, statistical expectation over geological timescales

Show derivation

Post-Spaceguard estimates put the annualized expected fatalities from asteroid and comet impacts at roughly 100 per year globally, down from the ~1,000/yr figure Chapman & Morrison used in 1994, because the survey has retired the statistical contribution of most civilization-ending impactors (≥1 km). Annual individual risk: 100 / 8 × 10⁹ ≈ 1.25 × 10⁻⁸. Compounded over 59 remaining adult years: 1 − (1 − 1.25 × 10⁻⁸)⁵⁹ ≈ 7.4 × 10⁻⁷. This is a statistical expectation smoothed over millions of years; in any given century the probability of a fatal impact is dominated by a single low-probability, high-casualty event.

Caveats: The "lifetime probability" of dying from an asteroid impact is a statistical fic…

The "lifetime probability" of dying from an asteroid impact is a statistical fiction in a way that most other entries on this site are not. Almost all the expected fatalities come from a single class of event — a large (≥140 m) impactor striking a populated area or triggering a global catastrophe — that has not occurred in recorded history. The annualized figure of ~100 expected fatalities per year is the quotient of billions of potential casualties divided by millions of years between events. In any given human lifetime, the actual probability is overwhelmingly either zero (no impact occurs) or catastrophically high (one does). The uncertainty band spans more than an order of magnitude because the residual population of undiscovered sub-140 m objects is poorly constrained, and because casualty estimates for ocean impacts (tsunami generation) vary by factors of 10–100 depending on modeling assumptions.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Natural

Nuclear accident

What are the odds of being harmed by a nuclear power plant accident?

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Carrington-class solar storm

What are the odds of a catastrophic solar storm hitting Earth?

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Hurricane

What are the odds of being killed by a hurricane (tropical cyclone)?

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AMOC collapse

What are the odds of the AMOC experiencing an abrupt collapse before the end of your lifetime?

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Avalanche

What are the odds of dying in an avalanche?

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Blizzard death

What are the odds of dying in a severe winter storm or blizzard?

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Climate change death

What are the odds of dying from the effects of climate change?

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Drought famine death

What are the odds of dying from drought-induced famine or water scarcity?

Compare to:

The probability of dying from an asteroid or comet impact is one of the most counterintuitive numbers in risk analysis. Chapman and Morrison’s landmark 1994 paper in Nature estimated roughly 1 in 6,000 over a 50-year lifetime — higher than the odds of dying in a plane crash. That figure, however, predated the Spaceguard Survey, which has since catalogued over 95% of near-Earth asteroids 1 km and larger. None of those has any significant chance of hitting Earth in the next century. The post-survey expected death toll drops to roughly 100 fatalities per year globally, yielding a lifetime individual risk closer to 1 in 1,350,000.

The arithmetic behind these numbers is unusual. Unlike car crashes or lightning, which kill small numbers of people frequently, asteroid fatalities are dominated by extremely rare, extremely high-casualty events. A 1 km impactor striking land could kill hundreds of millions; a 10 km impactor would threaten civilization. When you average those casualties over the millions of years between such events, you get a modest-sounding annual expectation. But in any given century, the realized outcome is almost certainly zero deaths — or a catastrophe. The “average” is real in the actuarial sense and meaningless in the experiential one.

Rumpf et al. (2017) refined the casualty modeling for smaller impactors (50–400 m) and found that wind blast and overpressure shock waves — not the fireball or crater — are the dominant kill mechanisms for land impacts. Tsunamis from ocean impacts add further uncertainty; modelers disagree by an order of magnitude on how efficiently a mid-ocean strike translates into coastal casualties. NASA’s CNEOS Sentry system continuously scans for potential impactors, and the DART mission demonstrated kinetic deflection in 2022, so the risk is not merely observed but actively managed — a distinction no other entry on this site can claim.

The practical takeaway is simple: asteroid impact is a real but extraordinarily rare hazard, comparable in annualized risk to lightning and far below everyday transport dangers. The reason it draws disproportionate attention is not irrationality — an unmitigated large impact would be among the worst disasters in human history — but the mind’s difficulty distinguishing “incredibly unlikely” from “impossible.”

Lifetime odds of dying from a lightning strike: ~1 in 138,849. From an asteroid impact: roughly 1 in 1,600,000. Lightning is about 12x more likely. Neither justifies worry, but only one gets NASA a budget line.

Read more → ⇄ compare

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] Nature — Impacts on the Earth by asteroids and comets: assessing the hazard
    Impacts on the Earth by asteroids and comets: assessing the hazard
    Statistic
    Individual lifetime risk of ~1 in 6,000 over 50 years (pre-Spaceguard, including civilization-ending impacts)
    Excerpt
    “"There is a 1-in-10,000 chance that a large (~2-km diameter) asteroid or comet will collide with the Earth during the next century, disrupting the ecosphere and killing a large fraction of the world's population." ”
    Source data from
    1994-01-06
    Accessed
    2026-04-12 · archived copy
    Calculation
    Chapman & Morrison 1994 estimated ~1,000 expected fatalities per year globally from all NEO sizes, yielding a 50-year individual risk of roughly 1 in 6,000. This was a pre-Spaceguard estimate that included the full statistical contribution of rare civilization-ending impacts (≥1 km). Subsequent survey work has retired most of that contribution; the revised post-Spaceguard expectation is ~100 fatalities/yr, which reduces the lifetime figure by roughly an order of magnitude.
    Independence
    Chapman & Morrison's framework is the foundational risk assessment; later estimates by Stokes et al. (2003) and Rumpf et al. (2017) use independent impact-physics models and updated NEO population surveys but build on the same probabilistic approach.
  2. [2] NASA Center for Near Earth Object Studies — Sentry: Earth Impact Monitoring
    Sentry: Earth Impact Monitoring
    Statistic
    No known large NEO has any significant probability of impacting Earth in the next 100 years; 95%+ of 1 km+ NEOs catalogued
    Excerpt
    “"Sentry is a highly automated collision monitoring system that continually scans the most current asteroid catalog for possibilities of future impact with Earth over the next 100 years." ”
    Source data from
    2025-12-31
    Accessed
    2026-04-12 · archived copy
    Calculation
    NASA CNEOS Sentry continuously monitors all catalogued NEOs. As of 2025, approximately 95% of near-Earth asteroids 1 km and larger have been discovered, and none has a significant impact probability in the next century. The residual risk comes almost entirely from undiscovered objects below 140 m. The post-survey annualized fatality expectation of ~100/yr globally (down from ~1,000/yr) reflects this retired risk. Individual annual risk: 100 / 8 × 10⁹ ≈ 1.25 × 10⁻⁸. Over 59 adult years: 1 − (1 − 1.25 × 10⁻⁸)⁵⁹ ≈ 7.4 × 10⁻⁷ ≈ 1 in 1,350,000.
    Independence
    CNEOS Sentry is an operational monitoring system tracking real NEOs with radar and optical astrometry. Its data are independent of the statistical population models used by Chapman & Morrison and Rumpf et al.
  3. [3] Geophysical Research Letters — Asteroid impact effects and their immediate hazards for human populations
    Asteroid impact effects and their immediate hazards for human populations
    Statistic
    Wind blast and overpressure are the dominant casualty mechanisms for land impacts of 50–400 m asteroids
    Excerpt
    “"We find that wind blast is the most dangerous impact effect, followed by pressure shock wave and thermal radiation. These three effects account for the vast majority of casualties." ”
    Source data from
    2017-04-19
    Accessed
    2026-04-12 · archived copy
    Calculation
    Rumpf et al. 2017 extended casualty modeling to smaller impactor sizes than Chapman & Morrison considered, using high-fidelity impact-physics simulations. Their per-impactor casualty estimates are broadly consistent with earlier work but refine the hazard allocation across effects. The headline lifetime probability we use derives from the post-Spaceguard annualized expectation (~100 fatalities/yr) rather than from Rumpf's per-event figures directly, but Rumpf's work validates the casualty-per-impact assumptions underlying that expectation.
    Independence
    Rumpf et al. use independent impact-physics and population-exposure models distinct from both Chapman & Morrison's analytical approach and CNEOS's orbit-monitoring system.

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