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Transport · reviewed 2026-04-19

What are the odds of an electric car catching fire?

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
4/5
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 4.5/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 333

0.3% lifetime chance

Most people overestimate this.

range 1 in 1,000 to 1 in 167

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 6.7 1 in 333

● your factors — click this risk ▾ to reveal

≈ As likely as

A simple electric car silhouette with a small battery icon, flat vector illustration.

Perceived

Every EV fire generates outsized media coverage. A single Tesla fire on a highway attracts the kind of attention that hundreds of daily gasoline-car fires do not, because EV fires are novel, visually dramatic (thermal runaway produces sustained flames and toxic fumes), and difficult for fire services to extinguish with conventional methods. The result is a perception gap: surveys consistently show that consumers rank battery fire as a top concern about EV ownership, even though the data shows EVs catch fire at a fraction of the rate of internal combustion engine vehicles.

Rough estimate: Many consumers believe EVs are more likely to catch fire than gasoline cars

Source: editorial intuition, not polled

Actual

~25 fires per 100,000 EVs sold vs ~1,530 per 100,000 ICE vehicles (AutoInsuranceEZ/BLS data)

US registered EVs

Show derivation

Uses the widely cited AutoInsuranceEZ/BLS-derived figure of ~25 fires per 100,000 EVs sold, compared to ~1,530 per 100,000 for ICE vehicles. The EV figure is based on NTSB and NHTSA incident data through 2022. Swedish Civil Contingencies Agency (MSB) data confirms the direction: 3.8 fires per 100,000 EVs and hybrids vs 68 per 100,000 ICE vehicles in Sweden, making ICE vehicles about 18x more likely to catch fire. The normalised figure uses the 25/100,000 annual rate (0.00025/year) compounded over a ~12-year average vehicle ownership period: 1 − (1 − 0.00025)^12 ≈ 0.003, yielding ~1 in 333 chance that a given EV will experience a fire at some point during ownership. For ICE vehicles, the equivalent figure is ~1 in 5.5 over the same period. The comparison is the point: EVs are roughly 60x less likely to catch fire than ICE vehicles per the US data, and ~18x less likely per the Swedish data. The uncertainty band reflects the difference between US and Swedish estimates and the fact that the EV fleet is younger than the ICE fleet (older vehicles are more fire-prone).

Caveats: The EV fire rate comparison to ICE vehicles is directionally robust (EVs catch f…

The EV fire rate comparison to ICE vehicles is directionally robust (EVs catch fire far less often) but the magnitude of the gap is uncertain for several reasons. First, the EV fleet is younger on average than the ICE fleet, and vehicle fire risk increases with age — as the EV fleet ages, the rate may converge somewhat. Second, the absolute number of EV fires is small enough that the per-100k rate has wide confidence intervals. Third, EV fires have different characteristics: thermal runaway in lithium-ion batteries produces sustained, high-temperature fires that are harder to extinguish, can reignite days after the initial event, and produce toxic hydrogen fluoride gas. The per-incident severity may be higher for EV fires even if the per-vehicle frequency is lower. Finally, the comparison includes all ICE vehicle fires, many of which are in very old vehicles; comparing EVs to age-matched ICE vehicles would narrow the gap. The entry is tagged as overrated because the data clearly shows EVs are less fire-prone than ICE vehicles, contrary to the popular perception.

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Hand-held phone call + driving

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Motorcycle crash

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Compare to:

Electric vehicles catch fire at a rate of roughly 25 per 100,000 vehicles sold, compared to approximately 1,530 per 100,000 for gasoline-powered cars — a ratio of about 60 to 1 in favour of EVs. Swedish data from the Civil Contingencies Agency tells the same story at a different scale: 3.8 fires per 100,000 for EVs and hybrids versus 68 per 100,000 for ICE vehicles, with only 23 fires recorded among 611,000 registered electric cars in the country. The National Fire Protection Association tracks roughly 174,000 highway vehicle fires per year in the United States; EVs are underrepresented in that count relative to their share of the fleet. By every available dataset, electric cars are substantially less likely to catch fire than their gasoline counterparts.

The perception runs in the opposite direction because EV fires are novel, photogenic, and genuinely different in character. Thermal runaway in a lithium-ion battery pack produces a sustained, high-temperature fire that conventional water-based suppression cannot easily extinguish. The fire can reignite hours or days after the initial event. It produces toxic hydrogen fluoride gas. Fire departments have had to develop entirely new protocols for EV fires, including submerging entire vehicles in water containers. These operational challenges are real and worth taking seriously, but they describe per-incident severity, not per-vehicle frequency. The media covers EV fires the way it covers shark attacks: each incident is reported as if it reveals a systemic danger, while the vastly more common gasoline-car fires go unmentioned because they are too routine to be news.

The main caveat is fleet age. The EV fleet is young — most EVs on US roads are less than five years old — and vehicle fire risk increases with age for all powertrain types as wiring degrades, seals fail, and batteries accumulate charge-discharge cycles. As the first generation of mass- market EVs ages past 10 years, the fire rate may increase. Whether it converges toward the ICE rate or remains substantially below it is an open empirical question. Post-collision battery damage is a specific EV risk that the NTSB has flagged: a crash that would leave an ICE vehicle safely disabled can damage a battery pack in ways that trigger delayed thermal runaway hours later, requiring extended post-crash monitoring. The comparison is imperfect, but the direction is clear: the fear that EVs are fire-prone is not supported by the data.

EV battery fires occur at roughly 25 per 100,000 vehicles. Gasoline car fires: ~1,500 per 100,000. Gas cars catch fire about 60x more often, but "EV catches fire" is a headline. "Gas car catches fire" is not.

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] Kelley Blue Book / AutoInsuranceEZ — Report: EVs Less Likely to Catch Fire Than Gas-Powered Cars
    Report: EVs Less Likely to Catch Fire Than Gas-Powered Cars
    Statistic
    ~25 fires per 100,000 EVs sold vs ~1,530 fires per 100,000 ICE vehicles vs ~3,475 per 100,000 hybrids
    Excerpt
    “"There are about 25 fires per 100,000 electric vehicles sold compared to 1,530 fires per 100,000 internal combustion engine vehicles sold." ”
    Source data from
    2023-01-20
    Accessed
    2026-04-18 · archived copy
    Calculation
    AutoInsuranceEZ compiled data from the Bureau of Transportation Statistics, NHTSA, and NTSB to calculate fire rates per 100,000 vehicles sold by powertrain type. The EV rate of ~25/100k vs ICE rate of ~1,530/100k represents a roughly 60x lower fire rate for EVs. The hybrid rate (~3,475/100k) is highest, likely reflecting the dual powertrain and the older average age of the hybrid fleet. KBB is used as the citation because it is the most widely read consumer source reporting this data. The underlying BLS/NHTSA data is the authoritative source. The figure has been widely cited but carries caveats: the EV fleet is younger on average than the ICE fleet (vehicle fire risk increases with age), and the total number of EV fires is small enough that the per-100k rate has a wide confidence interval.
  2. [2] Allied World Insurance — Electric Vehicle Fires: A cause for concern?
    Electric Vehicle Fires: A cause for concern?
    Statistic
    Swedish MSB data: 3.8 fires per 100,000 EVs/hybrids vs 68 per 100,000 ICE vehicles; only 23 fires among 611,000 EVs in Sweden
    Excerpt
    “"In Sweden, EVs and hybrids caught fire at a rate of 3.8 fires per 100,000 vehicles, whereas combustion-engine cars caught fire at 68 per 100,000." ”
    Source data from
    2024-03-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The Swedish Civil Contingencies Agency (MSB) data is the most frequently cited European dataset on EV fires. Sweden has high EV adoption (~17% of new car sales by 2023) and comprehensive fire reporting. The 3.8 vs 68 per 100,000 comparison shows ICE vehicles are ~18x more likely to catch fire — directionally consistent with the US data but with a smaller ratio, likely because the Swedish ICE fleet is newer on average and Sweden's fire statistics may capture different incident types. The absolute EV fire count (23 fires among 611,000 EVs) illustrates how small the numerator is, which is why the per-100k rate has wide confidence intervals.
    Independence
    Swedish MSB data is collected independently from US NHTSA/NTSB data. The two datasets use different methodologies and cover different vehicle fleets, making them a genuine cross-validation.
  3. [3] Fire Rover — How Often Do Electric Cars Catch Fire? A Look at the Statistics
    How Often Do Electric Cars Catch Fire? A Look at the Statistics
    Statistic
    NFPA data shows ~174,000 highway vehicle fires per year in the US; EVs represent less than 1% of these despite growing market share
    Excerpt
    “"Data consistently demonstrates that despite media attention on EV fires, electric vehicles are substantially less prone to catching fire than traditional internal combustion engine vehicles." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    NFPA tracks all highway vehicle fires in the US and reports ~174,000 per year. EVs represent a growing but still small fraction of the fleet (~4% of new sales in 2023, ~2% of registered vehicles), and their share of total vehicle fires is well below their share of the fleet. This aggregate data confirms the direction of the per-100k comparison: EVs are underrepresented in vehicle fire statistics relative to their fleet share. The entry is included as a third data point to triangulate the US and Swedish per-vehicle comparisons.
    Independence
    NFPA fire incident reporting is an independent data pipeline from NHTSA/NTSB recall-based tracking and from Swedish MSB 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 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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