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Perceived fear vs. actual probability

What are the odds of causing an injury crash as an at-fault driver?

Lifetime probability

~1 in 2

.9 over a 59-year driving lifetime

34% lifetime chance

Most people underestimate this.

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

Transport · reviewed 2026-05-16
Evidence quality 4.13/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
3/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
4/5
Average 4.13/5
Source Government statistic · National Highway Traffic Safety Administration (NHTSA)
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 1.0 1 in 7.4

● your factors — click this risk ▾ to reveal

  1. Your factors
Two simplified car outlines after a collision with a small starburst impact mark, flat vector illustration in muted tones.

Perceived

Drivers systematically underestimate their personal crash risk — a well-documented optimism bias in traffic safety research. Most licensed drivers believe they are above-average in skill, and the mental model of an "at-fault injury crash" tends to conjure images of reckless or drunk drivers, not the ordinary distracted or rushed driver that characterizes most real-world events. The actual lifetime probability of being the at-fault driver in a crash that injures someone is substantially higher than most people would guess.

Rough estimate: Most drivers would guess their lifetime odds of causing an injury crash are well below 1 in 10

Source: editorial intuition, not polled

Actual

~1 in 140 per year per US driver (at-fault injury crash rate)

US licensed drivers (NHTSA 2023 injury-crash count ÷ FHWA 2023 licensed drivers; ~1 at-fault driver per injury crash)

Show derivation

NHTSA's Traffic Safety Facts Annual Report Portal records an estimated 1,697,252 police-reported INJURY crashes in 2023 (a crash count, distinct from the 2,442,694 persons injured, which also counts passengers, pedestrians, and pedalcyclists). Each injury crash has, to first approximation, one at-fault driver — the single driver in a run-off-road crash, or the party who caused a multi-vehicle collision. Dividing the injury-crash count by the 237,655,885 licensed drivers (FHWA 2023) gives the annual probability that a given driver is the at-fault driver in an injury crash: 1,697,252 / 237,655,885 ≈ 0.714% per year, or roughly 1 in 140. Compounding over 59 adult driving years: 1 − (1 − 1/140)^59 ≈ 0.34, or about 1 in 2.9. This uses a numerator and denominator with matched national coverage (national injury-crash count ÷ national licensed-driver count) and avoids both the persons-injured overcount and an arbitrary at-fault split. The uncertainty range reflects that some injury crashes have no clearly at-fault driver while others assign fault ambiguously among multiple parties: at 0.85–1.15 at-fault drivers per injury crash the rate spans roughly 1 in 165 to 1 in 122 per year (lifetime ≈ 0.30 to 0.38).

Caveats: The 1/140 annual rate is derived from the national count of police-reported inju…

The 1/140 annual rate is derived from the national count of police-reported injury crashes (1,697,252 in 2023) divided by the national count of licensed drivers (237,655,885), treating each injury crash as having roughly one at-fault driver. This keeps the numerator and denominator on the same national basis, but the one-at-fault- driver-per-crash assumption is itself an approximation: some injury crashes (e.g. a chain-reaction pileup) have no single clearly at-fault party, while a few assign fault to more than one driver. This is a population-level estimate; the actual proportion of crashes with a clearly designated at-fault driver varies by crash type, state law, and reporting practice. Some fraction of "injury crashes" involve only the at-fault driver as the injured party (single-vehicle run-off-road, etc.), where the financial and legal consequences differ from injuring a third party. The lifetime figure compounds annual independent exposures, which is a reasonable first-order model but does not capture the clustering of risk in early driving years or the dose-response of total mileage. The psychological consequence of injuring another person — separate from insurance, legal liability, or financial cost — is a real component of the risk that is not captured in any administrative statistic.

Related risks

Other risks on similar themes — for exploring related fears.

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Drowsy driving

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Speeding 20% over limit

How much does driving 20% over the speed limit raise your odds of a fatal crash?

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Car submersion

What are the odds of drowning in a sinking car?

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Child without restraint

How much more likely is a child to die in a car crash without an appropriate child restraint?

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Driving on sedating meds

What are the odds of causing a fatal crash by driving while on a sedating prescription medication?

Compare to:

Being the driver who causes a crash that injures someone else is one of the more statistically plausible adverse life events that most US drivers never think about. NHTSA’s 2023 data recorded approximately 1.70 million police-reported injury crashes (a crash count, distinct from the 2.44 million people injured, which also counts passengers and pedestrians). Each injury crash has, to first approximation, one at-fault driver. Spread across the 237.7 million licensed drivers on US roads, that works out to roughly 1 in 140 per year that a given driver is the one who caused an injury crash. Compounded over a 59-year driving lifetime, that translates to about a 1 in 2.9 chance of being the at-fault driver in at least one injury crash.

The consequences of an at-fault injury crash extend well beyond the immediate collision. Liability insurance covers third-party medical costs up to policy limits, but suits exceeding those limits, underinsured scenarios, license points, premium increases, and the psychological weight of having injured someone else are all real exposures. Drivers under 25 face roughly twice the national rate — a well-documented effect of inexperience compounded by higher rates of distracted and impaired driving in that age group. The optimism bias documented in traffic safety research runs strong here: most drivers rate themselves as above-average in skill, and the mental model of “the driver who causes a crash” tends to invoke reckless or impaired actors, not the ordinary momentary lapse that causes the median injury collision.

The lifetime figure here is a population average and hides enormous variation. A 60-year-old retired rural driver who puts on 4,000 miles per year faces a fundamentally different exposure profile than a 24-year-old urban delivery driver. National Safety Council data suggests medically consulted motor vehicle injuries may run as high as 4.9 million per year when counting crashes not reported to police — implying the police-report-based NHTSA figure, already substantial, likely understates the total event count. The risk is distributed across a lifetime of routine decisions: every commute, every late-night drive, every moment of divided attention.

The odds of being the at-fault driver in a crash that injures someone run about ~1 in 2.5 over a 59-year driving lifetime, off a rate of ~1 in 116 per year per US driver. Optimism bias keeps most drivers guessing far lower.

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] National Highway Traffic Safety Administration (NHTSA) — Summary of Motor Vehicle Traffic Crashes: 2023 Data
    Summary of Motor Vehicle Traffic Crashes: 2023 Data
    Statistic
    2.44 million people injured in motor vehicle traffic crashes in 2023; 6.14 million total police-reported crashes; up from 2.38 million injured in 2022
    Excerpt
    “"In 2023 an estimated 2.44 million people were injured in motor vehicle traffic crashes, compared to 2.38 million in 2022, an increase of 2.5 percent. The estimated number of police-reported traffic crashes increased from 5.93 million in 2022 to 6.14 million in 2023, a 3.5-percent increase." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The headline uses the number of INJURY CRASHES (a crash count) as the numerator, not the 2.44 million persons injured — the latter also counts passengers, pedestrians, and pedalcyclists, so dividing it by drivers does not measure at-fault drivers. NHTSA's annual crash-severity breakdown records 1,697,252 police-reported injury crashes in 2023 (see the Traffic Safety Facts Annual Report Portal source below). Treating each injury crash as having ~1 at-fault driver: 1,697,252 / 237,655,885 licensed drivers (FHWA 2023) ≈ 0.714% per driver per year, or 1 in 140. Lifetime: 1 − (1 − 0.00714)^59 ≈ 0.34, about 1 in 2.9.
    Independence
    NHTSA's CRSS (Crash Report Sampling System) is a probability sample of police-reported crashes; it is independent from insurance claims databases and court records. CRSS replaced NASS-GES as the national non-fatal crash data system beginning with 2016 crash year data.
  2. [2] Bureau of Transportation Statistics / Federal Highway Administration — Licensed Drivers — Bureau of Transportation Statistics
    Licensed Drivers — Bureau of Transportation Statistics
    Statistic
    237.7 million licensed drivers in the United States in 2023
    Excerpt
    “"According to the Federal Highway Administration, there were approximately 237.7 million licensed drivers in the United States in 2023, derived from state motor vehicle administration data submitted to FHWA's Highway Statistics Series." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The licensed-driver denominator is used to convert total injury-crash counts (NHTSA) to a per-driver annual rate. FHWA's Highway Statistics DL-22 series provides the most comprehensive and consistently updated count of US licensed drivers by state, sex, and age group.
    Independence
    FHWA licensed-driver counts are based on state DMV administrative records and are wholly independent from NHTSA crash investigation data. The two datasets are combined here to derive a per-driver rate not published as such by either agency alone.
  3. [3] National Highway Traffic Safety Administration (NHTSA) — Traffic Safety Facts Annual Report — National Statistics (Police-Reported Crashes by Severity)
    Traffic Safety Facts Annual Report — National Statistics (Police-Reported Crashes by Severity)
    Statistic
    2023: 1,697,252 police-reported injury crashes; 37,769 fatal crashes; 4,403,453 property-damage-only crashes; 6,138,474 total crashes; 237,655,885 licensed drivers
    Excerpt
    “"POLICE-REPORTED MOTOR VEHICLE TRAFFIC CRASHES [2023]: Fatal 37,769; Injury 1,697,252; Property-Damage-Only 4,403,453; Total 6,138,474. Licensed Drivers 237,655,885. Note: Property-Damage-Only, Injury, and Total crash numbers are estimates calculated from a nationally representative sample of crashes collected through NHTSA's Crash Report Sampling System (CRSS)." ”
    Source data from
    2026-06-01
    Accessed
    2026-07-09 · archived copy
    Calculation
    This is the authoritative crash-count-by-severity table. It gives the INJURY CRASH count (1,697,252) as a crash category — the coverage-matched numerator for "at-fault driver in an injury crash," since each injury crash has roughly one at-fault driver. It also confirms the FHWA 2023 licensed-driver denominator (237,655,885), so both numerator and denominator come from the same national table. 1,697,252 / 237,655,885 ≈ 1 in 140 per driver per year.
    Independence
    Crash counts derive from NHTSA's CRSS probability sample of police reports; the licensed-driver count is FHWA administrative DMV data. Both are national in coverage, so the per-driver injury-crash rate is coverage-matched.
  4. [4] National Safety Council — Motor Vehicle — Overview — Injury Facts
    Motor Vehicle — Overview — Injury Facts
    Statistic
    Medically consulted motor vehicle injuries totaled 4.9 million in 2024; 39,345 estimated traffic fatalities in 2024; odds of dying in a motor vehicle crash are 1 in 101 lifetime
    Excerpt
    “"Medically consulted injuries in motor-vehicle incidents totaled 4.9 million in 2024. The National Safety Council estimates the odds of dying in a motor vehicle crash at approximately 1 in 101 over a lifetime for the average American." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The NSC medically consulted injury figure of 4.9 million in 2024 is higher than NHTSA's 2.44 million police-reported injured count because it includes crashes not reported to police and injuries with delayed medical presentation. It is cited here for context on the upper bound of total injury events, not for the primary rate calculation, which uses the police-reported NHTSA figure.
    Independence
    NSC compiles injury data from insurance payors, employer records, and medical billing datasets, making it methodologically distinct from both NHTSA's police-report sampling system and FHWA's DMV administrative records.

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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