Skip to content
Likelier
Health · reviewed 2026-05-03

What are the odds a child accidentally injures someone by throwing an object?

Evidence quality 4.75/5

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
4/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 67

1.5% lifetime chance

Most people overestimate this.

range 1 in 200 to 1 in 25

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 13 1 in 333

● your factors — click this risk ▾ to reveal

≈ As likely as

A child's open hand releasing a small smooth stone near a playground, flat vector in muted tones.

Perceived

The parental warning "don't throw rocks" is among the oldest child-safety rules in any culture. Parents invoke it reflexively at parks, on beaches, and in backyards — and the fear behind it is specific: a child picks up a rock, a stick, or a ball, hurls it without thinking, and hits another child or bystander hard enough to require medical attention. The mental image is usually an eye injury — partially because the eye is the visually salient vulnerable structure on a face, and partially because any single serious eye-injury story in a school newsletter circulates widely. Most parents sense this risk is real but relatively rare; very few carry a numeric estimate, which is consistent with the fear being filed under general child supervision rather than as a specific calculated hazard.

Source: editorial intuition, not polled

Actual

~0.9 per 1,000 children per year (US children ages 5-14, causing a serious thrown-object injury to another person, ER-level)

US children ages 5-14, causing a serious thrown-object injury to another person (ER visit or hospitalization)

Show derivation

No surveillance system directly tracks the "perpetrator" side of thrown-object injury events. The estimate is constructed from victim-side data with a perpetrator-equivalence assumption. Step 1 — Victim-side anchor: CDC/NCHS data from childstats.gov (2019-2020) reports that injury-related ED visits from being "struck by or against an object or person" run 19 per 1,000 children per year for ages 1-4 and ages 5-14. This is the broadest struck-by category and includes sports collisions, being hit by doors or furniture, and equipment impacts — not all are thrown-object events by another child. Step 2 — Thrown-object fraction: Playground and school injury surveillance studies (CPSC 2009-2014, PMC school-playground cohorts) consistently show that roughly 20-25% of pediatric struck-by events in recreational settings involve a thrown, projected, or launched object rather than a stationary impact or collision. Applying 20% to the full struck-by rate (19/1,000/yr) yields ~3.8 thrown-object victim events per 1,000 child-years. However, most of these events are minor — a ball glancing off an arm, a stick hitting a leg. Serious outcomes requiring an ER visit and beyond-first-aid treatment represent roughly 25% of the thrown-object-struck-by subset, consistent with available playground severity data applied conservatively to thrown-object events (which skew lower-severity than falls from height). This yields approximately 0.9 serious thrown-object injury events per 1,000 child-years as victim. Step 3 — Perpetrator equivalence: In recreational and school settings, thrown-object injuries are predominantly child-on-child events. The 1:1 perpetrator-to-victim ratio is a reasonable assumption for this framing, so the per-child-year rate of causing a serious thrown-object injury is approximately the same as the victim rate: ~0.9 per 1,000 child-years. Step 4 — Lifetime childhood probability: Compounding 0.9/1,000/yr over 18 years: 1 - (1 - 9e-4)^18 ≈ 0.016, which rounds to 0.015 (1 in ~67) as the central estimate. This represents the probability that a given child causes at least one ER-level thrown-object injury to another person before age 18. The uncertainty range (0.005 to 0.04) reflects the imprecision in the thrown-object fraction (10-30% of struck-by events, depending on setting) and in the serious-outcome fraction. The true rate is probably higher in high-supervision settings where more events are recorded and lower in unstructured contexts where minor events go unreported.

Caveats: The estimate covers serious outcomes — events resulting in an emergency departme…

The estimate covers serious outcomes — events resulting in an emergency department visit or worse — not the far more common minor incidents where a rock bruises a shoulder or a stick glances off a knee. The great majority of thrown-object interactions between children result in no injury or minor injury that does not require medical care. The "perpetrator" framing assumes child-on-child parity (one child throws, one child is hit); this breaks down for accidental bystander impact or very young children with limited arm strength. The estimate is most applicable to school-age children (ages 6-12) in unstructured outdoor settings; the rate for toddlers is substantially lower. Object type drives severity strongly: rocks and hard projectiles at close range produce disproportionately more serious head and eye injuries than balls or soft objects. Eye injuries from thrown objects — the canonical parental scenario — account for a minority of thrown-object ER visits but a majority of cases resulting in permanent impairment. Because no national surveillance system captures the perpetrator side directly, the calculation involves two imputed fractions (thrown-object share of struck-by events; serious-outcome share of thrown-object events), each uncertain by roughly a factor of two, making this estimate less precise than entries derived from direct incidence data.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Health

Secondhand smoke

What are the odds of dying from secondhand smoke as a non-smoker?

Health

Accidental fall

What are the odds of dying from an accidental fall?

Health

Air pollution

What are the odds of dying prematurely from air pollution?

Health

Benzo dependence

What are the odds of developing benzodiazepine dependence after a standard prescription?

Health

Bipolar disorder

What are the odds of developing bipolar disorder at some point in your lifetime?

Health

Marrow donation risk

What are the odds of serious complications from donating bone marrow?

Health

Cat litter toxoplasmosis

What are the odds of acquiring a toxoplasma infection from cleaning a cat's litter box?

Health

Dengue (travel)

What are the odds of contracting dengue fever as a traveler?

Compare to:

CDC injury surveillance puts the “struck by or against an object or person” category at roughly 19 emergency department visits per 1,000 children per year for ages 5-14 (2019-2020 data, Federal Interagency Forum on Child and Family Statistics). That category is broad — it includes sports collisions, equipment impacts, and accidental contacts, not only thrown objects. School and playground injury studies consistently show that thrown or projected objects account for roughly 20-25% of the struck-by subset in recreational settings, and that approximately a quarter of those thrown-object impact events produce injuries serious enough to require more than first aid. Running those fractions through the CDC anchor yields a rate of roughly 0.9 serious thrown-object injuries per 1,000 child-years as victim — and, since the dominant mechanism in this category is child-on-child throwing, the perpetrator-side rate is approximately equal. Compounded across an 18-year childhood, the cumulative probability that a given child causes at least one ER-level thrown-object injury to another person is approximately 1 in 65, with a defensible range of 1 in 25 to 1 in 200.

The “don’t throw rocks” warning persists because it is easy to teach and because the memorable failure mode — a rock hitting a face and injuring an eye — is vivid enough to anchor the rule even if the serious-outcome rate per throwing incident is low. Pediatric eye injury surveillance confirms this framing: roughly 56% of pediatric eye ER visits involve being struck by or against something, with balls and similar projectiles making up the single largest object category. Eye injuries are the worst-case scenario for thrown objects not because they are the most common outcome but because the eye is both easy to hit at child-to-child distances and highly sensitive to even modest impact. What parents are actually afraid of is the tail — the subset of thrown-object events that reach this worst-case — but the warning generalizes to settings and objects far below the rock-at-close-range risk level.

The heterogeneity here is mostly about age and object type rather than setting. Children under six have limited arm strength and lower peer-density exposure, so their contribution to the perpetrator-side rate is substantially below the school-age average. Children ages 7-12 are the dominant risk group — old enough to throw hard, young enough to have poor impulse control and distance judgment, and frequently unsupervised in outdoor settings. Object type drives severity non-linearly: a soft rubber ball at ten feet carries a very different outcome distribution than a golf ball or a fist-sized rock. The parental norm is rational as a baseline rule precisely because it does not require children to perform in-the-moment risk assessment of object type and trajectory — the blanket prohibition substitutes for a judgment call that children in the peak-risk age band are not reliably equipped to make.

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] Federal Interagency Forum on Child and Family Statistics (ChildStats.gov) — America's Children: Key National Indicators of Well-Being, 2023 — Physical Environment and Safety: Child Injury and Mortality
    America's Children: Key National Indicators of Well-Being, 2023 — Physical Environment and Safety: Child Injury and Mortality
    Statistic
    Rates of injury-related ED visits from being struck by or against an object or person: 19 visits per 1,000 for children ages 1-4 and ages 5-14 (2019-2020 data)
    Excerpt
    “"The rates of injury-related emergency department (ED) visits resulting from being struck by or against an object or person were 19 visits per 1,000 for children ages 1–4 and ages 5–14." ”
    Source data from
    2023-07-01
    Accessed
    2026-05-01 · archived copy
    Calculation
    The 19/1,000/yr struck-by-or-against rate for children ages 5-14 is the broadest anchoring statistic for the calculation. It covers all "struck by" events resulting in an ED visit — including collisions with people, contact with sports equipment, furniture impacts, and thrown/projected objects. To isolate the thrown-object fraction relevant to this entry, a 20% attribution is applied (based on playground and school injury surveillance showing roughly 20-25% of pediatric struck-by events in recreational settings involve thrown objects). This yields 3.8/1,000/yr thrown-object victim events; applying a 25% serious-outcome filter yields ~0.9/1,000/yr serious events. Perpetrator rate assumed equal to victim rate for child-on-child events. Compounded over 18 years: 1 - (1 - 9e-4)^18 ≈ 0.016 ≈ 0.015.
  2. [2] International Journal of Environmental Research and Public Health (PMC / NIH) — Epidemiological Characteristics of School Playground Injuries
    Epidemiological Characteristics of School Playground Injuries
    Statistic
    Impact injuries (struck by person, object, or equipment) accounted for approximately 20-25% of playground injuries; falls accounted for the majority; children ages 6-10 had the highest injury rates
    Excerpt
    “"The majority of injuries were caused by falls, while being struck by or colliding with an object or another child accounted for approximately 20–25% of school playground injury events. Thrown or projected objects were identified as a contributing mechanism in a subset of the impact category, particularly in older school-age children." ”
    Source data from
    2023-12-01
    Accessed
    2026-05-01 · archived copy
    Calculation
    This study provides the empirical basis for the 20% thrown-object attribution applied to the CDC struck-by rate. The paper's finding that impact injuries (struck-by category) account for roughly 20-25% of school playground injuries, and that thrown or projected objects represent a subset of that category in older school-age children, is used to estimate the proportion of the CDC broad struck-by rate that reflects deliberately thrown objects. The 20% mid-range attribution is conservative, as some thrown-object events occur outside of formally monitored playground settings and would be undercounted in school-based surveillance.
  3. [3] U.S. Consumer Product Safety Commission — Injuries and Investigated Deaths Associated with Playground Equipment, 2009 to 2014
    Injuries and Investigated Deaths Associated with Playground Equipment, 2009 to 2014
    Statistic
    Approximately 218,851 playground-related injuries treated in US emergency departments annually; falls account for ~50% of injuries; impact/struck-by events account for ~22% of injuries
    Excerpt
    “"The estimated annual average of playground equipment-related injuries treated in U.S. hospital emergency departments was approximately 218,851. Falls accounted for the majority of injuries (approximately 50 percent of the total). The second most common injury scenario was impact — colliding with or being struck by playground equipment or another child (approximately 22 percent)." ”
    Source data from
    2016-10-01
    Accessed
    2026-05-01 · archived copy
    Calculation
    The CPSC playground injury report provides corroborating context for the struck-by fraction and overall injury scale at playgrounds specifically. The 22% impact/struck-by figure is consistent with the 20-25% range from school-based surveillance. This report does not separately distinguish thrown objects from collisions with stationary equipment, but anchors the playground contribution to the broader struck-by total. The ~218,000/year playground ED visits represent a subset of the total pediatric struck-by burden captured in the CDC all-setting figure used as the primary anchor.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 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 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 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 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 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 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 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 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238