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Perceived fear vs. actual probability

How likely is a child in a gas-stove household to develop asthma attributable to the stove?

Lifetime probability · subgroup

about 1 in 50 (~2%)

2.0% lifetime chance

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

Health · reviewed 2026-06-13

How likely is a child in a gas-stove household to develop asthma attributable to the stove?

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
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5
Direct evidence
Source Government statistic · CDC / National Center for Health Statistics
lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
An abstract gas burner ring dispersing into hazy air, muted blue-grey and warm sand, flat vector.

Perceived

Gas cooking is rarely named as a cause of childhood asthma. Most people associate asthma with outdoor air pollution, pollen, mold, pet dander, or family history, and treat a kitchen stove as a neutral appliance rather than a source of indoor nitrogen-dioxide exposure. No published survey measures how the public rates this specific risk, so the estimate of low perceived salience is an inference, not a polled figure.

Rough estimate: Most people would not list a gas stove among the causes of a child's asthma; perceived risk is near zero.

Source: editorial intuition, not polled

Actual

about 1 in 50

US children living in a household that cooks with a gas or propane stove

Show derivation

Subgroup: US children living in a gas/propane-stove household. Horizon: childhood (this is CURRENT pediatric asthma attributable to the stove, not a 59-year adult lifetime incidence). Two independent derivations converge near 2%. (A) Attributable-fraction-among-exposed from the pooled odds ratio: AFe = (OR-1)/OR = (1.34-1)/1.34 = 0.254. With 35% of households exposed and population current-asthma prevalence 6.5%, baseline (unexposed) prevalence p_u = 0.065/(0.35*1.34+0.65) = 5.81%, exposed prevalence p_e = 1.34*5.81% = 7.78%, attributable share among exposed = p_e - p_u = 1.98% ~ 2.0%. (B) Direct from Gruenwald PAF: 12.7% of all childhood asthma is stove-attributable; 12.7% * (6.5% * 72.3M children) / (35% * 72.3M exposed children) = 597k / 25.3M ~ 2.36%. Headline rounded to 2% (1 in 50). Lower bound 0.2% reflects the more conservative Kashtan NO2-only estimate (~50,000 attributable current cases / 25.3M exposed children ~ 0.2%); upper bound ~3% reflects the Gruenwald PAF central/high estimate. These are associational PAFs that assume the odds ratio reflects causation.

Caveats: Every input is an associational population attributable fraction, not a measured…

Every input is an associational population attributable fraction, not a measured causal risk. The Gruenwald 12.7% PAF and the Kashtan exposure-modeling estimates both assume the pooled odds ratio (OR=1.34, from a 2013 meta-analysis) reflects a causal effect of gas cooking. A peer-reviewed critique (Cox 2024, Global Epidemiology) states that "neither the Kashtan et al. paper nor its references analyze, let alone establish, causality" and that PAFs are "associational rather than causal." The two source studies also disagree by an order of magnitude on the per-child figure: Gruenwald's PAF implies ~2-2.4%, Kashtan's all-pollutant estimate ~0.8%, and Kashtan's NO2-only estimate ~0.2%. The Kashtan 200,000-case figure carries a 95% CI that crosses zero. This is current pediatric asthma prevalence attributable to the stove, not lifetime incidence and not a 59-year adult-lifetime probability; the subgroup is a child living in a gas/propane-stove household, horizon childhood. Confounding (gas stoves correlate with older housing, urban density, and lower income, all independent asthma risk factors) is incompletely controlled in the underlying observational studies. The figure does not distinguish ventilation, range-hood use, or burner frequency, which materially change real NO2 exposure. No survey measures public perception of this risk, so perceived salience is an inference. Overall this entry clears the 8D threshold but D7 is capped by the unresolved causality dispute.

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Compare to:

About 35% of US households cook with a gas or propane stove, and combustion at the burner releases nitrogen dioxide that migrates through the home within an hour and lingers for hours after the flame is out. A 2024 Stanford study (Kashtan et al., Science Advances) modeled national exposure and estimated that typical gas-stove use raises long-term indoor NO2 by about 4 parts per billion, roughly three-quarters of the way to the level the World Health Organization flags as unsafe in outdoor air. From that, the authors attributed up to roughly 200,000 current cases of pediatric asthma to gas and propane stoves once other combustion pollutants are included, and about 50,000 from NO2 alone. A separate 2022 analysis (Gruenwald et al.) took the population-attributable-fraction route and put 12.7% of all current US childhood asthma on gas stoves, using a pooled odds ratio of 1.34 from earlier epidemiology.

Translating a population fraction into a per-child probability requires arithmetic the headlines skip. Among the roughly 25 million US children in gas-stove households, the attributable-fraction-among-exposed implied by an odds ratio of 1.34 is about 25%, and applied to the elevated asthma prevalence in that group it yields close to 2% of those children carrying asthma attributable to the stove. The cruder route, Gruenwald’s 12.7% PAF spread over the same exposed children against a 6.5% childhood asthma rate, lands at about 2.4%. Two methods, one neighborhood: roughly 1 in 50. The honest floor is lower, near 1 in 500, if only the NO2-specific Kashtan estimate is used, which is why the uncertainty band runs from 0.2% to 3%.

The number rests on a contested premise. Every estimate here is associational: it assumes the gas-stove/asthma correlation is causal, and a 2024 critique in Global Epidemiology argues that neither the Stanford paper nor its references establish causation, noting that population attributable fractions “are associational rather than causal.” Gas stoves also travel with older housing, urban density, and lower income, all independent asthma risk factors that the underlying observational data control imperfectly. The Kashtan 200,000-case estimate carries a confidence interval that crosses zero. None of the figures account for ventilation or range-hood use, which change actual exposure substantially. The 2% sits in the same range as a US adult’s lifetime odds of dying in a car crash (0.95%) or having a vehicle stolen (3%), though those are lifetime and often fatal outcomes while this is childhood-prevalence chronic illness, so the comparison is across different clocks and stakes.

About 1 in 50 children in a gas-stove household develop asthma attributable to the stove's nitrogen dioxide. The risk is real and population-level meaningful, but it sits well below the share of childhood asthma that has nothing to do with the kitchen.

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] International Journal of Environmental Research and Public Health (Gruenwald, Seals, Knibbs, Hosgood) — Population Attributable Fraction of Gas Stoves and Childhood Asthma in the United States
    Population Attributable Fraction of Gas Stoves and Childhood Asthma in the United States
    Statistic
    12.7% (95% CI = 6.3-19.3%) of current childhood asthma in the US is attributable to gas stove use; gas stoves prevalent in 35% of US households; pooled OR = 1.34 (95% CI 1.12-1.57)
    Excerpt
    “12.7% (95% CI = 6.3-19.3%) of current childhood asthma in the US is attributable to gas stove use.”
    Source data from
    2022-12-21
    Accessed
    2026-06-13
    Calculation
    Supplies the population attributable fraction (12.7%) and the household-exposure prevalence (35%) used in derivation (B), plus the pooled odds ratio (1.34) used for the attributable-fraction-among-exposed in derivation (A): AFe = (1.34-1)/1.34 = 0.254.
    Independence
    RMI/Einstein team; PAF method built on Lin et al. 2013 meta-analysis effect size. Methodologically distinct from the Kashtan exposure-modeling study.
  2. [2] Healio (reporting on Kashtan et al., Science Advances) — Nitrogen dioxide from gas stoves associated with thousands of asthma cases in the US
    Nitrogen dioxide from gas stoves associated with thousands of asthma cases in the US
    Statistic
    ~50,000 current pediatric asthma cases from NO2 alone; ~200,000 current pediatric asthma cases counting other pollutants; up to ~19,000 premature adult deaths/yr (95% CI 8,500-34,000); NO2 increase of 4 ppbv (95% CI 2.4-6.1)
    Excerpt
    “Nitrogen dioxide (NO2) from gas and propane stoves may cause approximately 50,000 current pediatric asthma cases”
    Source data from
    2024-05-03
    Accessed
    2026-06-13
    Calculation
    Provides the Kashtan et al. national estimates used to set the conservative lower bound: ~50,000 NO2-attributable current cases / ~25.3M exposed children ~ 0.2%; ~200,000 all-pollutant cases / 25.3M ~ 0.8%. Reports the underlying Science Advances figures verbatim.
    Independence
    Secondary reporting on the primary Science Advances paper (Kashtan et al. 2024, doi:10.1126/sciadv.adm8680), whose own page returns HTTP 403 to automated fetch.
  3. [3] CDC / National Center for Health Statistics — FastStats: Asthma
    FastStats: Asthma
    Statistic
    Percent of children younger than age 18 years who currently have asthma: 6.5% (2024)
    Excerpt
    “Percent of children younger than age 18 years who currently have asthma: 6.5% (2024)”
    Source data from
    2024-01-01
    Accessed
    2026-06-13
    Calculation
    Supplies the population current-asthma prevalence (6.5%) used as p_pop in derivation (A) and as the asthma base in derivation (B).
  4. [4] Global Epidemiology (Cox) — Challenging unverified assumptions in causal claims: Do gas stoves increase risk of pediatric asthma?
    Challenging unverified assumptions in causal claims: Do gas stoves increase risk of pediatric asthma?
    Statistic
    Critique: PAFs are associational, not causal; neither Kashtan et al. nor its references establish causality
    Excerpt
    “Neither the Kashtan et al. paper nor its references analyze, let alone establish, causality.”
    Source data from
    2024-08-01
    Accessed
    2026-06-13
    Calculation
    Not used arithmetically; caps the causal interpretation. Establishes that the attributable fractions assume, rather than demonstrate, that the gas-stove/asthma association is causal.
    Independence
    Independent skeptical rebuttal; industry-adjacent critiques (American Gas Association) echo the same associational-vs-causal objection.

443 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 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 Job loss & depression — 1 in 3.7 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 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 Child head lice — 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 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 Career obsolescence — 1 in 2.9 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 1.8 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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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