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Likelier

Perceived fear vs. actual probability

What are the odds of being killed by a motor vehicle while cycling?

Lifetime probability · activity

~1 in 158

0.6% lifetime chance

Most people underestimate this.

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

Transport · reviewed 2026-05-16
Evidence quality 4.75/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
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 53 1 in 794

● your factors — click this risk ▾ to reveal

  1. Your factors
A lone bicycle wheel casting a long shadow on an empty road surface, flat vector illustration with muted tones.

Perceived

Cyclists who ride regularly report that being hit by a car is the dominant fear shaping their route choices, riding posture, and willingness to cycle at all. The mental model is roughly: drivers are distracted, roads are narrow, one mistake ends everything. What the intuition rarely tracks is the difference between per-trip risk, per-mile risk, and lifetime risk for a person who cycles a specific number of miles per year. The fear operates at the level of vividness — one fatal dooring or overtaking collision is easy to imagine — rather than at the level of frequency.

Rough estimate: feels very high — many regular cyclists consider it a near-certainty over a cycling lifetime

Source: editorial intuition, not polled

Actual

~7.9 deaths per 100 million miles cycled (US, NTSB 2019 study)

US pedalcyclists in motor vehicle traffic crashes (NHTSA FARS, NTSB 2019 study)

Show derivation

The NTSB 2019 safety study reported a yearly US bicyclist fatality rate of 79 bicyclist fatalities per billion miles bicycled (7.9 per 100 million miles), citing Santacreu (2018). NHTSA FARS recorded 1,166 pedalcyclist fatalities in motor vehicle traffic crashes in 2023 (up about 4% from 1,117 in 2022, the highest count in the series), consistent with the ~1,000–1,200 range across 2019–2023. Normalizing to a "regular road or urban cyclist" who averages 2,000 miles per year over 40 active cycling years (ages 18–58) gives a lifetime exposure of 80,000 miles. At 7.9 deaths per 100 million miles, that yields a lifetime probability of 80,000 × 7.9e-8 ≈ 0.0063, or about 1 in 158. The uncertainty band reflects variation in annual mileage and trip type: a casual cyclist doing 1,000 miles/year for 30 years (30,000 miles) sits near 0.0024; a high-mileage road cyclist doing 4,000 miles/year for 50 years (200,000 miles) sits near 0.016. The per-mile fatality rate for cyclists is several times that of motor vehicle occupants, reflecting the lack of occupant protection, not a fundamentally more dangerous activity per trip — most Americans cycle very few miles annually.

Caveats: The per-mile fatality rate from the NTSB 2019 study (79 deaths per billion miles…

The per-mile fatality rate from the NTSB 2019 study (79 deaths per billion miles) is the best available US figure but relies on bicycle VMT estimates that have significant uncertainty — the US does not systematically measure bicycle miles traveled the way it measures motor vehicle miles. NHTSA's annual fatality count is accurate (FARS captures all motor-vehicle-involved deaths), but the denominator (total bike miles) is estimated from travel surveys with wide confidence intervals. The lifetime calculation is also sensitive to assumed annual mileage: doubling the assumed mileage doubles the lifetime probability. Cyclists who primarily ride on protected infrastructure (separated bike lanes, off-road trails) face lower exposure than those riding on open roads. Alcohol involvement (rider or driver) is reported in 34% of fatal crashes, indicating the underlying distribution is not uniform. The 1 in 158 headline applies to a specific profile; it is not a population-average figure for all US adults, which would be much lower because most Americans cycle very infrequently.

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Texting + driving

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Compare to:

The headline figure from the NTSB’s 2019 safety study — the agency’s first comprehensive analysis of bicyclist crash risk in nearly five decades — is roughly 79 deaths per billion miles cycled, or about 7.9 per 100 million miles. NHTSA’s Fatality Analysis Reporting System recorded 1,166 pedalcyclist deaths in motor vehicle traffic crashes in 2023, a 4 percent increase over 2022 and nearly double the 2010 low. For a regular road or urban cyclist averaging 2,000 miles per year over 40 active cycling years — 80,000 miles of lifetime exposure — that rate translates to a lifetime fatality probability of roughly 1 in 158, or about 0.6%. That is not trivial, but it is also not the “near-certainty over a lifetime” that most regular cyclists privately believe they are running.

The comparison that puts the number in context: the per-mile fatality rate for cyclists is several times that of motor vehicle occupants. That gap is real and reflects the absence of crumple zones, airbags, and steel cages around a cyclist. What it does not mean is that cycling is proportionally as dangerous as driving per trip — the average car trip is many times longer than the average bike trip, and the typical American cyclist logs very few miles annually. The IIHS notes that deaths among adult cyclists (20 and older) have increased almost fivefold since 1975, which runs in the opposite direction from the steady long-term decline in motor vehicle occupant death rates over the same period. Eighty-one percent of the fatalities occur in urban areas — the dense settings where cyclists and fast-moving vehicles share space with the least physical separation.

Where the intuition goes wrong is less in direction than in magnitude. Cycling on open roads with motor vehicle traffic does carry a real and measurable fatal risk, and the NTSB’s international comparison is pointed: among the 13 European countries and the United States that Santacreu (2018) measured over 2011–2015, the US rate ranked second only to Italy — a spread that tracks almost exactly with infrastructure investment rather than with the inherent danger of the activity. The 53% of fatalities that occur in dark conditions, and the 34% involving alcohol in either the rider or the driver, identify the highest-leverage modifiable factors. Lighting and route choice on open roads move the personal risk number substantially. The 1 in 158 headline applies to a specific exposure profile; a casual cyclist on shared-use paths sits much closer to the low end of the uncertainty range than the headline, and a high-mileage road cyclist on unlit rural roads sits well above it.

Being killed by a car while cycling runs about 1 in 195 for a regular road rider over a cycling life. Many cyclists imagine it as near-certain; the per-mile risk is real but far below that.

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.

3/3 sources independently verified verbatim against the cited source

  1. [1] National Transportation Safety Board (NTSB) — Bicyclist Safety on US Roadways: Crash Risks and Countermeasures (SS-19/01) Verified
    Bicyclist Safety on US Roadways: Crash Risks and Countermeasures (SS-19/01)
    Statistic
    79 bicyclist fatalities per billion miles bicycled in the US (7.9 per 100 million miles); 806 bicyclists died in crashes with motor vehicles in 2017; bicyclist fatalities reached their lowest level of 623 in 2010
    Excerpt
    “"Santacreu (2018) provided bicyclist fatalities data per distance bicycled for 13 European countries and the United States from 2011 through 2015. Figure 4 shows that the yearly US bicyclist fatality rate of 79 bicyclist fatalities per billion miles bicycled ranked second only to Italy." ”
    Source data from
    2019-11-01
    Accessed
    2026-05-04 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    The NTSB figure of 79 deaths per billion miles (= 7.9 per 100 million miles) is the primary exposure-normalized rate used for the native statistic. To convert to a lifetime probability for a regular cyclist, multiply the per-mile rate by total lifetime miles: 80,000 miles (2,000/year × 40 years) × 7.9e-8 per mile ≈ 0.0063. This report was also the NTSB's first comprehensive bicyclist-safety analysis since 1972 — a 47-year gap the report itself notes — which is why the body text describes it as "nearly five decades" since the prior review.
  2. [2] National Highway Traffic Safety Administration (NHTSA), National Center for Statistics and Analysis — Traffic Safety Facts 2023 Data: Bicyclists and Other Cyclists (DOT HS 813 739) Verified
    Traffic Safety Facts 2023 Data: Bicyclists and Other Cyclists (DOT HS 813 739)
    Statistic
    1,166 pedalcyclist fatalities in motor vehicle traffic crashes in 2023, representing 2.9% of all traffic fatalities; 81% occurred in urban areas; 62% at non-intersection locations; 87% of those killed were male
    Excerpt
    “"In 2023 there were 1,166 pedalcyclist fatalities, accounting for 2.9 percent of all traffic fatalities." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-04 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    NHTSA FARS 2023 provides the most recent annual fatality count. The 1,166 figure is used to confirm that the NTSB per-mile rate remains plausible: if US cyclists collectively travel ~18 billion miles/year (rough estimate from American Community Survey trip data and NHTS), then 1,166 / 18,000,000,000 ≈ 6.5 deaths per 100 million miles, consistent with the NTSB figure. NHTSA FARS is the upstream source for all US traffic fatality counts and is treated as the primary authority.
  3. [3] Insurance Institute for Highway Safety (IIHS) — Fatality Facts 2023: Bicyclists Verified
    Fatality Facts 2023: Bicyclists

    See all 2 Likelier entries citing this source →

    Statistic
    1,163 bicyclists killed in crashes with motor vehicles in 2023; about 2%-3% of motor vehicle crash deaths are bicyclists each year; deaths among bicyclists age 20 and older have increased almost fivefold since 1975
    Excerpt
    “"A total of 1,163 bicyclists were killed in crashes with motor vehicles in 2023. ... Each year about 2%-3% of motor vehicle crash deaths are bicyclists." ”
    Source data from
    2024-12-01
    Accessed
    2026-05-04 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    IIHS uses a slightly different coding methodology than NHTSA FARS, producing a 2023 figure of 1,163 vs NHTSA's 1,166. Both are used as corroboration that the annual US cyclist fatality count from motor vehicle crashes is reliably in the 1,100–1,200 range in recent years. The IIHS trend data also establishes that fatality counts have risen substantially since 2010 (from a low near 620), which means the per-mile rate used may slightly understate current risk if cycling miles have not grown proportionally.

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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