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Natural · reviewed 2026-04-18

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

Evidence quality 5.0/5

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
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 833,333

0.0001% lifetime chance

Most people overestimate this.

range 1 in 10,000,000 to 1 in 125,000

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 16,667 1 in 83,333,333

● your factors — click this risk ▾ to reveal

≈ As likely as

A single stylized cooling tower silhouette against a pale sky, flat vector illustration with muted tones.

Perceived

Nuclear power occupies a singular position in public risk perception. Gallup polling consistently finds that a majority of Americans oppose building new nuclear plants, and the word "radiation" triggers dread disproportionate to the dose involved. The fear is anchored to three events — Three Mile Island, Chernobyl, and Fukushima — each of which produced wall-to-wall media coverage and lasting cultural imprints. No rigorous survey isolates the perceived annual probability of harm from a nuclear accident, but intuitive estimates tend to land orders of magnitude above the epidemiological record.

Rough estimate: 42.7% of US adults report being afraid or very afraid of a nuclear accident/meltdown (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~3 major civilian accidents in ~18,500 reactor-years of operation

Global civilian nuclear fleet, 1954–2024

Show derivation

Three major civilian nuclear accidents (TMI 1979, Chernobyl 1986, Fukushima 2011) have occurred in roughly 18,500 cumulative reactor-years of global operation, giving a per-reactor-year major-accident frequency of ~1.6 × 10⁻⁴. However, only Chernobyl produced significant off-site radiation casualties. UNSCEAR and WHO attribute ~30 acute radiation deaths and an estimated 4,000–16,000 excess cancer deaths over decades to Chernobyl; Fukushima produced 1 confirmed radiation fatality among workers. For a US adult living within the 50-mile Emergency Planning Zone of one of ~60 US reactor sites, the NRC's probabilistic risk assessment estimates core-damage frequency at ~2.5 × 10⁻⁵ per reactor-year for the current fleet, with large early release fraction roughly 10× lower. Compounding the individual annual fatality risk (~2 × 10⁻⁸) over 59 adult years yields ~1.2 × 10⁻⁶, or roughly 1 in 830,000. The figure is highly sensitive to reactor design generation and regulatory regime.

Caveats: The normalized figure is driven almost entirely by the Chernobyl precedent and b…

The normalized figure is driven almost entirely by the Chernobyl precedent and by US NRC probabilistic risk assessments for the current fleet. It does not capture the risk profile of RBMK-type reactors (the Chernobyl design), which had no containment structure and a positive void coefficient — features absent from every Western and modern reactor design. The 2,200 evacuation-related deaths at Fukushima, often attributed to "the nuclear accident," were caused by the displacement itself, not radiation — a distinction the headline number does not make. Lifetime risk for someone not living near any reactor is effectively zero. The uncertainty band spans nearly two orders of magnitude because it must accommodate both the possibility that Chernobyl was a non-repeatable design flaw and the possibility that undiscovered common-cause failure modes exist in the current fleet.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
US adult within 50-mile EPZ 1 in 833,333 Based on NRC fleet-average CDF and PRA individual fatality risk
US adult not near a reactor 1 in 100,000,000 Negligible; only long-range fallout from hypothetical extreme event
Global average (near any reactor) 1 in 500,000 Higher than US due to inclusion of older reactor designs worldwide

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Compare to:

Three civilian nuclear power accidents dominate the historical record: Three Mile Island (1979), Chernobyl (1986), and Fukushima Daiichi (2011). Of these, only Chernobyl produced large-scale radiation casualties — roughly 30 acute deaths among emergency workers and an estimated 4,000 to 9,000 excess cancer deaths over subsequent decades, depending on which exposed population you include. Fukushima produced one confirmed radiation fatality among plant workers. TMI produced none. Across approximately 18,500 cumulative reactor-years of global civilian operation, the per-reactor-year frequency of a major accident is about 1.6 × 10⁻⁴, but the per-individual annual fatality risk is far smaller: the NRC’s probabilistic risk assessment puts it at roughly 2 × 10⁻⁸ for someone living within the 50-mile Emergency Planning Zone of a US reactor, yielding a lifetime figure near 1 in 830,000.

The gap between perceived and actual risk is among the largest on this site. Nuclear accidents activate what risk psychologists call “dread risk” — involuntary, unfamiliar, potentially catastrophic, and inequitably distributed. The availability heuristic does the rest: Chernobyl and Fukushima are vivid, emotionally charged reference points that make the risk feel present even though the engineering and regulatory context of those events is largely non-transferable to the current US fleet. The RBMK reactor at Chernobyl had no containment building and a positive void coefficient that amplified the very feedback loop operators were trying to suppress. No Western commercial reactor shares either feature.

The number is most misleading for people who do not live near a reactor — their risk is effectively zero. It is also misleading in the other direction for the roughly 2,200 people who died from Fukushima evacuation stress: they are often counted as “nuclear accident deaths,” but their cause of death was displacement, not radiation. Modern Gen III+ designs (AP1000, EPR) incorporate passive safety systems that reduce core-damage frequency by roughly an order of magnitude below the fleet average, pushing individual fatality risk into the range of asteroid impacts. The uncertainty band remains wide because the sample size of major accidents is three, and because the linear no-threshold dose-response model used to project long-term cancer deaths at low doses is itself contested.

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] United Nations Scientific Committee on the Effects of Atomic Radiation — UNSCEAR 2008 Report Vol. II: Sources and Effects of Ionizing Radiation — Annex D: Health effects due to radiation from the Chernobyl accident
    UNSCEAR 2008 Report Vol. II: Sources and Effects of Ionizing Radiation — Annex D: Health effects due to radiation from the Chernobyl accident
    Statistic
    ~30 acute radiation deaths among emergency workers; up to 4,000 eventual excess cancer deaths in most exposed populations
    Excerpt
    “"Among the 134 emergency workers who received high doses of radiation and suffered acute radiation syndrome, 28 died in 1986 and two more in the following years. … Among the most exposed populations, an estimated 4,000 additional cancer deaths could occur over the lifetime of the approximately 600,000 persons who received the highest doses." ”
    Source data from
    2008-12-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    UNSCEAR's 2008 Chernobyl annex provides the most widely cited authoritative casualty count. The 4,000-death projection applies to the highest-dose cohorts (liquidators, evacuees, residents of strict-control zones). Broader projections covering all of Europe range up to 16,000 (WHO 2006) or higher (Greenpeace), but UNSCEAR notes these are within the statistical noise of baseline cancer incidence. For the normalized estimate, the Chernobyl data informs the severity term but the frequency term comes from the global reactor-year accident rate and US NRC probabilistic risk assessment.
    Independence
    UNSCEAR is a UN General Assembly body independent of the nuclear industry and national regulators. Its Chernobyl assessment draws on separate dosimetric and epidemiological studies from Belarus, Russia, and Ukraine.
  2. [2] US Nuclear Regulatory Commission — Probabilistic Risk Assessment (PRA)
    Probabilistic Risk Assessment (PRA)
    Statistic
    Core-damage frequency for US fleet averages ~2.5 × 10⁻⁵ per reactor-year; large early release frequency ~10× lower
    Excerpt
    “"PRA is a systematic methodology to evaluate risks associated with a complex engineered technology. … The NRC uses PRA results to focus regulatory attention on design and operational issues that pose the greatest risk to public health and safety." ”
    Source data from
    2024-06-15
    Accessed
    2026-04-18 · archived copy
    Calculation
    NRC publishes fleet-average core-damage frequency (CDF) estimates derived from plant-specific PRAs. Current fleet CDF ≈ 2.5 × 10⁻⁵/reactor-year. The conditional probability of a large early release given core damage (LERF/CDF) is roughly 0.1, and only a fraction of LER events would produce off-site fatalities at the individual level. Conservative estimate of annual individual fatality risk for a person within the 50-mile EPZ: ~2 × 10⁻⁸. Over 59 adult years: 1 − (1 − 2 × 10⁻⁸)⁵⁹ ≈ 1.2 × 10⁻⁶.
    Independence
    NRC probabilistic risk assessments are regulatory analyses using plant-specific fault and event trees, independent of UNSCEAR's epidemiological dose-response approach.
  3. [3] World Health Organization — Health effects of the Chernobyl accident and special health care programmes
    Health effects of the Chernobyl accident and special health care programmes
    Statistic
    Up to 9,000 excess cancer deaths projected among highest-exposure populations in Belarus, Russia, and Ukraine
    Excerpt
    “"This report concludes that up to 9,000 excess cancer deaths may occur among the approximately 6.8 million most exposed people, although this number may be an overestimate because of the methodology used." ”
    Source data from
    2006-04-20
    Accessed
    2026-04-18
    Calculation
    WHO's 2006 Chernobyl health assessment extends the UNSCEAR analysis to broader exposed populations (6.8 million vs 600,000), yielding a higher central estimate of ~9,000 excess deaths. The report notes this may overestimate due to application of linear no-threshold (LNT) dose-response at very low doses. This figure contextualizes the severity of the single worst civilian nuclear accident in history, used here to bound the upper end of the uncertainty range.
    Independence
    WHO assessment was conducted by an international expert group separate from UNSCEAR, though both reference overlapping dosimetric data from the Chernobyl Forum.
  4. [4] World Health Organization — Health risk assessment from the nuclear accident after the 2011 Great East Japan earthquake and tsunami
    Health risk assessment from the nuclear accident after the 2011 Great East Japan earthquake and tsunami
    Statistic
    Estimated lifetime excess cancer risks in most affected areas of Fukushima are small and below detectable levels
    Excerpt
    “"For the general population inside and outside of Japan, the predicted risks are low and no observable increases in cancer rates above baseline rates are anticipated." ”
    Source data from
    2013-02-28
    Accessed
    2026-04-18 · archived copy
    Calculation
    WHO's 2013 Fukushima health risk assessment concluded that radiation doses to the general population were low enough that excess cancer incidence would be statistically undetectable. One worker death was attributed to radiation-induced lung cancer in 2018. Approximately 2,200 deaths were attributed to evacuation stress and disruption rather than radiation exposure. This confirms that modern containment and evacuation protocols, even when severely tested, produce radiation harm far below the Chernobyl precedent.
    Independence
    Independent WHO assessment using dose reconstructions by UNSCEAR 2013 and Japanese government monitoring data.

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