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Perceived fear vs. actual probability

What are the odds of an electric car catching fire?

Lifetime probability · activity

~1 in 333

over a vehicle lifetime (~12 years average ownership)

0.3% lifetime chance

Most people overestimate this.

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

Transport · reviewed 2026-06-14
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
Source Government statistic · National Transportation Safety Board (NTSB)
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

  1. Your factors
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. A separate dimension worth naming is what happens after a fire starts, which is independent of how often one starts. The NTSB's responder-safety report (NTSB/SR-20/01, 2020) found that all three crash-damaged EV batteries it investigated reignited after firefighters had extinguished the vehicle fire — one reignited at least six times, including 5 days after the crash — because of "stranded energy": charge trapped in undamaged cells with no path to discharge, which responders cannot measure or drain except by letting the pack burn itself out. The Australian fire-service project EV FireSafe reports that 13% of the EVs in its reignition-incident dataset reignited after initial suppression, with cases of four separate reignition events, a 68-day delayed reignition, and reignitions occurring while the vehicle was on a tow truck. These reignition figures are conditional on a fire having already occurred (a per-incident severity characteristic), are drawn from small, self-selected fire-service datasets with no population denominator, and do not change the entry's headline ignition odds; they are the reason an EV fire is operationally harder to make safe than an ICE fire of equivalent size, not evidence that EVs ignite more often. The enclosed-structure severity concern (garages, tunnels) is the same severity-not-frequency point and is already reflected in the indoor-charging multiplier above.

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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. A separate longitudinal comparison spanning 2010–2020 puts the EV battery fire rate at 0.0012% against 0.1% for internal-combustion cars — a third dataset, on a different basis, pointing the same way. 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 — US battery-electric vehicles averaged 3.7 years old in 2025, versus 12.8 years for the overall US vehicle fleet, according to S&P Global Mobility — 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.

3/6 sources independently verified verbatim against the cited source

  1. [1] Kelley Blue Book / AutoInsuranceEZ — Study: Electric Vehicles Involved in Fewest Car Fires
    Study: Electric Vehicles Involved in Fewest Car Fires
    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
    “"Hybrid-powered cars were involved in about 3,475 fires per every 100,000 sold. Gasoline-powered cars, about 1,530. Electric vehicles (EVs) saw just 25 fires per 100,000 sold." ”
    Source data from
    2022-01-28
    Accessed
    2026-04-18 · archived copy
    Calculation
    AutoInsuranceEZ compiled National Transportation Safety Board car-fire data against Bureau of Transportation Statistics sales data 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. This KBB article (Sean Tucker, 2022-01-28, "Study: Electric Vehicles Involved in Fewest Car Fires") reports the AutoInsuranceEZ study and states all three per-100k figures verbatim; it 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 Civil Contingencies Agency (MSB) May 2023 report: ICE vehicles ~20x more likely to catch fire than EVs in Sweden
    Excerpt
    “"A report in May 2023 by the Swedish Contingencies Agency, found vehicles powered by ICE were twenty times more likely to catch fire than EVs in Sweden." ”
    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. Allied World, citing the MSB's May 2023 report, states ICE vehicles were ~20x more likely to catch fire than EVs in Sweden — 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 underlying MSB per-100k breakdown (3.8 fires per 100,000 EVs/hybrids vs 68 per 100,000 ICE; 23 fires among ~611,000 EVs) is quoted verbatim from the Fire Rover source below; the absolute EV fire count 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 Verified
    How Often Do Electric Cars Catch Fire? A Look at the Statistics
    Statistic
    Studies spanning 2010–2020 put EV battery fire rates at 0.0012% vs 0.1% for internal-combustion-engine cars — an ~83x lower rate for EVs
    Excerpt
    “"Studies spanning 2010–2020 saw EV battery fire rates at 0.0012%, compared to 0.1% for internal combustion engine (ICE) cars." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-18 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Fire Rover aggregates several EV-vs-ICE fire datasets. The figure cited here is its longitudinal 2010–2020 comparison: an EV battery fire rate of 0.0012% versus 0.1% for ICE cars, i.e. ICE cars roughly 83x more likely to catch fire over that window. This is a distinct third data point that triangulates with the AutoInsuranceEZ US per-100k rate (~60x) and the Swedish MSB per-100k rate (~18-20x): three independently sourced comparisons that all place the EV fire rate well below the ICE rate, with the exact ratio varying by methodology and fleet. (The same article also restates the 25 vs 1,530 per-100,000 US figures and the Swedish 3.8 vs 68 per-100,000 figures.)
    Independence
    Fire Rover's aggregated 2010–2020 longitudinal comparison draws on a different sampling window and methodology from the single-year AutoInsuranceEZ US per-100k figure and the Swedish MSB per-100k figure, so it corroborates the direction from a third angle.
  4. [4] National Transportation Safety Board (NTSB) — Safety Risks to Emergency Responders from Lithium-Ion Battery Fires in Electric Vehicles (NTSB/SR-20/01)
    Safety Risks to Emergency Responders from Lithium-Ion Battery Fires in Electric Vehicles (NTSB/SR-20/01)
    Statistic
    In all 3 of the crash-damaged EV batteries the NTSB studied, the battery reignited after firefighters extinguished the vehicle fire; one reignited at least six times and again 5 days after the crash, driven by stranded energy.
    Excerpt
    “"All three crash-damaged batteries reignited after firefighters extinguished the vehicle fires." "That stranded energy can cause a high-voltage battery to reignite multiple times after firefighters extinguish an electric vehicle fire. Emergency responders have no way of measuring how much energy remains in a damaged battery, and no way of draining that energy, other than such time-consuming methods as allowing a battery fire to burn itself out." ”
    Source data from
    2020-11-13
    Accessed
    2026-06-14 · archived copy
    Calculation
    NTSB Safety Report NTSB/SR-20/01 (adopted November 13, 2020) investigated all US domestic high-voltage EV battery fires the NTSB became aware of in a one-year window (August 2017–August 2018): three high-speed crash fires plus one noncrash fire. All three crash-damaged batteries reignited after the vehicle fire was extinguished — one reignited at least six times, including 5 days after the crash. This is the authoritative documentation of the reignition / stranded-energy phenomenon. It is a qualitative, mechanism-level finding from a four-case responder-safety investigation, NOT a population fire rate; it does not change the entry's headline ignition odds and is used only to substantiate the reignition caveat (per-incident severity, conditional on a fire already occurring).
  5. [5] EV FireSafe (Australian fire-service research project) — EV Fire Reignition Verified
    EV Fire Reignition
    Statistic
    13% of EVs in EV FireSafe's reignition dataset reignited after initial suppression; one had 4 separate reignition events and another reignited 68 days after the incident; 5 reignited while on a tow truck.
    Excerpt
    “"Our research found 13% of the vehicles we studied reignited following initial suppression" "one vehicle had 4 seperate reignition events & another reignited 68 days after the initial incident" ”
    Source data from
    2024-01-01
    Accessed
    2026-06-14 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    EV FireSafe is an Australian fire-service-funded research/advocacy project that compiles global EV fire incidents reported to it. Its 13% figure is the share of vehicles in its own reignition-incident dataset that reignited after suppression — a conditional rate (given a fire occurred) drawn from a self-selected fire-service sample with no published denominator, NOT a population probability and NOT comparable to the entry's per-100k ignition rate. It is cited only to put a number on the reignition phenomenon the NTSB documents qualitatively; treat the magnitude as indicative, not precise.
    Independence
    EV FireSafe's reignition dataset is collected independently of the NTSB's four-case US investigation, so the two sources cross-corroborate the reignition phenomenon from different fleets and methodologies — while sharing the limitation that neither is a population-representative reignition rate.
  6. [6] S&P Global Mobility — Average Age of Vehicles in the US Rises to 12.8 Years in 2025 Verified
    Average Age of Vehicles in the US Rises to 12.8 Years in 2025
    Statistic
    Average age of battery electric vehicles (BEVs) in the US was 3.7 years in 2025, versus 12.8 years for the overall US vehicle fleet
    Excerpt
    “"Still, the average age for BEVs remains low at 3.7 years, growing at a similar rate—about two months—as the overall market in 2024." ”
    Source data from
    2025-05-21
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Cited to substantiate the fleet-age caveat in the body prose: the US BEV fleet averages 3.7 years old versus 12.8 years for all vehicles, which supports (and is slightly younger than) the entry's qualitative claim that most EVs on US roads are young. Independent of the EV-fire-rate sources above; this is a vehicle-registration/age analytics source, not a fire-incidence source.

434 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.3 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 9.8 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Parent death/disability — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 26 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Dying without heir — 1 in 100 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 159 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Crocodile attack — 1 in 337,838 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000
Lottery jackpot 1 in 95,238

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