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Perceived fear vs. actual probability

What are the odds of being killed by a self-driving car?

Lifetime probability

~1 in 115

0.9% lifetime chance

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

Transport · reviewed 2026-06-14
Evidence quality 4.38/5

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
4/5
D4 Uncertainty
4/5
D5 Scope
3/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence
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 4.3 1 in 766

● your factors — click this risk ▾ to reveal

  1. Your factors
A simplified autonomous vehicle sensor dome icon on a pale background, flat vector illustration, no crash, no people.

Perceived

Autonomous vehicles occupy an outsized share of public fear relative to their actual deployment. Gallup and AAA surveys consistently find that roughly three in four Americans say they would be afraid to ride in a fully self-driving car. The 2018 Uber ATG fatality in Tempe, Arizona — the first pedestrian killed by a vehicle operating in autonomous mode — anchored public perception in a way that tens of thousands of annual human-driver fatalities do not. Every subsequent AV incident receives national coverage; the 39,000-plus human-driver deaths per year are reported as a quarterly statistical abstract.

Rough estimate: most Americans rate self-driving cars as more dangerous than human drivers

Source: editorial intuition, not polled

Actual

~2 ADS fatalities across ~170 million autonomous miles (US, through 2025)

US fully autonomous (Level 4-5) vehicles

Show derivation

As of late 2025, NHTSA's Standing General Order data records 2 fatalities involving vehicles operating under a fully Automated Driving System (ADS, Levels 4-5). Crucially, neither fatality was caused by the ADS itself — both involved other at-fault human drivers striking the ADS vehicle. The at-fault ADS fatality rate is therefore 0. However, the "involved-in" rate still matters: it measures the risk of dying in or near an ADS vehicle regardless of fault. The Waymo fleet — the largest ADS operator — has driven 170+ million fully autonomous miles with zero at-fault fatalities. To normalize the involved-in rate: 2 fatalities / 170,000,000 miles ≈ 1.18 per 100 million miles. A US adult drives roughly 740,000 miles over a 59-year adult lifetime (12,500 mi/yr). If all of those miles were driven by ADS at the observed involved-in rate, the lifetime risk would be 2/170,000,000 × 740,000 ≈ 0.0087 (~1 in 115). This is comparable to the human-driver lifetime fatality risk (~0.0095). The uncertainty band is wide: the low end reflects the at-fault ADS rate (effectively 0; a structural floor of 0.000001 is used), while the high end accounts for small-sample volatility. This figure is inherently speculative because ADS deployment remains limited to select urban geofences. The 2026-06 review added a peer-reviewed source (Scanlon et al., Traffic Injury Prevention, 56.7M rider-only miles through Jan 2025) that reports injury-crash reductions, not a fatality count — it does not move the point estimate but reinforces the low end of the band, since the zero-at-fault-fatality record now spans 56.7M+ driverless miles.

Caveats: This headline measures the fatal outcome for a person in or near a fully driverl…

This headline measures the fatal outcome for a person in or near a fully driverless (Level 4-5) ADS vehicle, and the 2-death numerator is too small for confidence. Several 2024-2026 developments sit outside that frame and are not folded into the number. (1) The victim and severity profile is shifting: AV-as-striker-of-a-vulnerable-pedestrian incidents (e.g., a Jan 2026 Waymo child strike near a Santa Monica school, plus a Dec 2025 Waymo recall over failure to stop for school buses loading/unloading) tend to be non-fatal but are a different harm mode than the rider/at-fault-driver framing here; clean lifetime figures for them lean on small recall/incident dockets. (2) The named fatal failures in the public record are almost all Level-2 driver-assist (Tesla Autopilot/FSD), not full ADS — captured by the Level-2 monitoring-disengagement multiplier, not this rate. NHTSA's reduced-visibility FSD probe (PE24031) and the Oct 2025 traffic-law-violation probe (PE25012, 2.88M vehicles, 14 crashes / 23 injuries) document Level-2 failure modes (camera degradation in glare/fog/dust, running red lights) without a per-mile fatality denominator. (3) Automation-induced drowsiness and complacency while supervising Level-2 assist is documented by 2025 systematic reviews to worsen takeover performance, but rests on simulator/behavioral findings with no crash-rate denominator, so no estimate is offered for it.

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Compare to:

Across roughly 170 million fully autonomous miles driven in the United States through late 2025, NHTSA’s Standing General Order database records 2 fatalities involving vehicles operating under a Level 4 or 5 Automated Driving System. Neither was caused by the ADS itself — both involved other human drivers striking the autonomous vehicle. The at-fault ADS fatality count is zero. The involved-in fatality rate, about 1.2 per 100 million miles, is in the same neighborhood as the human-driver rate of 1.2-1.3 per 100 million miles, but the ADS sample is vanishingly small: two deaths versus 39,000. Whether to count involved-in or at-fault matters enormously — one framing gives a lifetime risk around 1 in 115, the other gives effectively zero. Waymo, which accounts for the bulk of those autonomous miles, reports far fewer injury-causing crashes than human benchmarks — 82 percent fewer as of its March 2026 safety update, and a peer-reviewed analysis (Scanlon et al., Traffic Injury Prevention) puts the reduction in serious-injury crashes at 85 percent, a direction independently corroborated by Swiss Re insurance claims data.

The fear runs far ahead of the deployment. Three in four Americans tell pollsters they would be afraid to ride in a self-driving car, yet the number of Americans who have actually shared a road with an ADS vehicle in any given week is still a rounding error. The Uber ATG pedestrian fatality in 2018 — a single death under circumstances that involved a distracted safety driver and a poorly configured system — did more to shape public risk perception than the subsequent 150-plus million uneventful autonomous miles that followed. This is textbook availability bias: one vivid, novel event anchors a probability estimate that thousands of data points cannot dislodge.

Where all of this falls apart as a predictive tool: ADS vehicles currently operate in curated urban geofences with favorable weather, well-mapped roads, and low-speed limits. Whether the observed safety record scales to highway driving, rural roads, snow, or a fleet a thousand times larger is genuinely unknown. The 2-fatality numerator is also too small to draw statistical conclusions with any confidence — the uncertainty band spans more than two orders of magnitude. The number published here is what the data say so far, not a forecast.

If every mile you drove were on autonomous systems, the lifetime odds of being killed by one come out around ~1 in 115 lifetime, built from about 2 ADS fatalities across roughly 170 million autonomous miles logged through 2025.

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) — Standing General Order on Crash Reporting for Incidents Involving ADS and Level 2 ADAS
    Standing General Order on Crash Reporting for Incidents Involving ADS and Level 2 ADAS
    Statistic
    2 fatalities involving vehicles operating under ADS (Levels 3-5) through November 2025; 54 fatalities involving Level 2 ADAS (tallied from the SGO incident dataset)
    Excerpt
    “[Paraphrase from the SGO incident dataset — the Standing General Order does not publish a summary sentence; these are tallies of reported crashes.] NHTSA's Standing General Order requires manufacturers and operators to report crashes involving vehicles equipped with an Automated Driving System (ADS) or SAE Level 2 driver-assistance system when the system was engaged near the time of a crash that caused a fatality, hospital transport, air-bag deployment, or the strike of a vulnerable road user. Tallied through the November 2025 reporting period, the dataset records 2 fatal crashes involving fully driverless (Level 4-5) ADS vehicles and 54 fatal crashes involving Level 2 ADAS. ”
    Source data from
    2025-11-17
    Accessed
    2026-04-18 · archived copy
    Calculation
    NHTSA's Standing General Order mandates crash reporting for all ADS and Level 2 ADAS vehicles. The 2 ADS fatalities are the numerator (involved-in, not at-fault — neither was caused by the ADS). Denominator is estimated total ADS miles driven across all operators (Waymo, Cruise, Zoox, etc.), with Waymo's 170M+ miles forming the bulk. Rate ≈ 2 / 170,000,000 ≈ 1.18 per 100 million miles. Lifetime = rate × 740,000 lifetime miles ≈ 0.0087 (~1 in 115).
  2. [2] Waymo LLC (Alphabet) — Waymo Safety Impact
    Waymo Safety Impact
    Statistic
    82% fewer injury-causing crashes vs human benchmark (0.71 vs 3.91 per million miles) over 220.6 million rider-only miles through March 2026; zero at-fault fatalities
    Excerpt
    “"82% Fewer injury-causing crashes ... 0.71 [Waymo] vs 3.91 [human benchmark] incidents per million miles ... 220.6M rider-only miles" driven through March 2026 across Los Angeles, San Francisco Bay Area, Phoenix, Austin, and Atlanta. ”
    Source data from
    2026-03-31
    Accessed
    2026-07-11 · archived copy
    Calculation
    Waymo's self-reported safety hub covers rider-only (fully driverless) operations and is a moving figure that Waymo updates as miles accumulate: it read an 85% injury-crash reduction (0.41 vs 2.78 per million miles) over 170M miles at the 2025-12 access date and, as of the 2026-07 re-check, reads 82% (0.71 vs 3.91) over 220.6M miles through March 2026. The peer-reviewed Scanlon et al. study (source below) independently reports an 85% reduction in Suspected Serious Injury+ crashes. Used here to contextualize per-mile safety performance, not as the primary rate source; Swiss Re insurance claims data (92% fewer bodily-injury claims over 25 million miles) corroborate the direction and magnitude.
    Independence
    Waymo's safety data is self-reported but has been independently validated by Swiss Re (insurance claims analysis) and peer-reviewed in the journal Traffic Injury Prevention (Scanlon et al., 2024). The NHTSA SGO data above is the independent government source.
  3. [3] Traffic Injury Prevention (Scanlon et al.) — Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million miles
    Comparison of Waymo Rider-Only crash rates by crash type to human benchmarks at 56.7 million miles
    Statistic
    85% fewer suspected-serious-injury+ crashes and 92% fewer pedestrian-injury crashes across 56.7 million rider-only miles through end of January 2025; zero at-fault fatalities
    Excerpt
    “"The Waymo Driver had statistically significant lower crashed vehicle rates than the human benchmarks for any-injury-reported crashes, airbag deployment crashes, and suspected serious injury+ crashes... an 85% reduction (95% CI 39% to 99%) in Suspected Serious Injury+ crashes... with substantial reductions in crashes involving injuries among pedestrians (92% reduction) and cyclists (82% reduction)." ”
    Source data from
    2025-05-01
    Accessed
    2026-06-14 · archived copy
    Calculation
    Peer-reviewed retrospective safety assessment (accepted in Traffic Injury Prevention, 2025) of Waymo rider-only operations through end of January 2025. It does not change the ADS fatality numerator (this entry's headline is a fatality figure; the study reports injury-crash rates), but it independently corroborates the zero-at-fault-fatality record across 56.7M+ driverless miles, reinforcing the low end of the uncertainty band and backing the geofenced-route protective multiplier. Used as authoritative contextualization, not as the primary rate source.
  4. [4] National Highway Traffic Safety Administration (NHTSA) — Early Estimate of Motor Vehicle Traffic Fatalities for 2024
    Early Estimate of Motor Vehicle Traffic Fatalities for 2024
    Statistic
    39,345 people killed in motor vehicle traffic crashes in 2024
    Excerpt
    “"An estimated 39,345 people died in motor vehicle traffic crashes in 2024, a decrease of about 3.8 percent as compared to 40,901 fatalities reported in 2023." ”
    Source data from
    2025-04-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The 39,345 human-driver-era deaths provide the baseline for comparison. At ~3.2 trillion miles driven annually, the human fatality rate is ~1.20 per 100 million miles in 2024 (NHTSA's reported rate), roughly comparable to the ADS observed rate but based on a sample size billions of times larger.

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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