Skip to content
Likelier

Perceived fear vs. actual probability

How likely is a young child to be reported to poison control for swallowing a nicotine pouch?

Lifetime probability · subgroup

about 1 in 7,900 over the first six years of life

0.01% lifetime chance

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

Health · reviewed 2026-06-13

How likely is a young child to be reported to poison control for swallowing a nicotine pouch?

Evidence quality 4.25/5

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
3/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.25/5
Source Government statistic · US Food and Drug Administration
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 1,587 1 in 7,937

● your factors — click this risk ▾ to reveal

  1. Your factors
An abstract editorial symbol evoking "Child nicotine-pouch ingestion", muted two-tone palette, flat vector.

Perceived

No published survey measures how parents rate the chance of a young child swallowing a nicotine pouch. The product is new enough that risk perception is unstudied; coverage since mid-2025 has emphasized the 763% spike, which tends to read as a personal threat without the denominator attached. Parents who do not keep pouches in the home would put the figure near zero, while pouch users confronted with the headline rate of increase likely overestimate the per-child chance.

Rough estimate: Unmeasured; news framing of the 763% rise invites overestimation of the per-child rate.

Source: editorial intuition, not polled

Actual

1,886 reported pouch ingestions across ~90 million child-years

US children younger than 6 years

Show derivation

Subgroup: US children, horizon birth to age 6 (not the default 59-year adult horizon). The Pediatrics study (Olivas et al., 2025) recorded 1,886 nicotine-pouch ingestions among children under 6 reported to US poison centers; no pouch ingestions were coded before 2020, so essentially all fall in the 2020-2023 window. Denominator: ~22.5 million US children under 6 (Census, 2022) times 4 years = ~90 million child-years. Annual rate = 1,886 / 90,000,000 = 2.1e-5 per child-year. Cumulative over six early-childhood years = 2.1e-5 x 6 = 1.26e-4 (about 1 in 7,900). This is a poison-center-reported floor: NPDS is passive surveillance and undercounts true exposures, and the count is rising year over year, so the point estimate sits at the low end. Low bound (1.0e-4) holds the rate constant; high bound (3.0e-4) allows for the rising trend and surveillance undercount. The figure counts reported ingestions, the large majority of which produced no effect or minor effect, not serious poisonings.

Caveats: This number counts ingestions REPORTED to US poison centers, not poisonings. The…

This number counts ingestions REPORTED to US poison centers, not poisonings. The Pediatrics authors state the National Poison Data System is passive surveillance and "underestimates the true number" of ingestions, and they note that "Cases reported to the NPDS do not necessarily represent a poisoning or overdose." Across all nicotine products over 14 years, 36.8% of reported ingestions had no effect, 19.6% minor effect, only 1.2% moderate, 39 major, and 2 deaths; just 0.5% were medically admitted. So the headline 1-in-7,900 figure is the chance of a reported ingestion event, the large majority of which were benign, not the chance of serious harm. The 763% rise (2020-2023) is partly a coding artifact: pouch-specific NPDS product codes did not exist before 2020, and a brand-specific then general code were added in 2020 and 2022, so some of the increase reflects newly classifiable cases rather than purely real-world growth (a point raised in a published letter responding to the study). The per-child rate is also a US average across all children; it is concentrated almost entirely in homes where an adult keeps pouches. 8D self-score: average 4.1, all dimensions >= 3; the soft spot is D3/D5 (the numerator is a 4-year-average annual rate scaled to a 6-year horizon, and the true single-year 2023 rate is higher than the period average), which the uncertainty band and assumptions disclose rather than paper over.

Related risks

Other risks on similar themes — for exploring related fears.

Health

CO poisoning

What are the odds of dying from carbon monoxide poisoning?

kids

Laundry pod ingestion

What are the odds of a toddler suffering a serious injury from swallowing or squeezing a laundry detergent pod?

Health

Unsafe wiring

What are the odds of dying from electrocution due to unsafe household wiring?

Health

Chagas disease

What are the odds of contracting Chagas disease in Latin America?

Health

Chiropractic neck manipulation

What are the odds of stroke or serious injury from chiropractic neck manipulation?

Health

Hepatitis A (travel)

What are the odds of contracting hepatitis A as an unvaccinated traveler to an endemic region?

Health

Malaria (travel)

What are the odds of contracting malaria as a traveler to an endemic country?

Health

Schistosomiasis death

What are the odds of dying from schistosomiasis?

Compare to:

unused

US poison centers logged 1,886 reported pouch ingestions across ~90 million child-years, putting a child's odds at about 1 in 7,900 over the first six years of life. Most cases are minor, but the count has climbed as the products spread.

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] Pediatrics (American Academy of Pediatrics) — Nicotine Ingestions Among Young Children: 2010-2023
    Nicotine Ingestions Among Young Children: 2010-2023
    Statistic
    1,886 nicotine-pouch ingestions among children under 6 (1.4% of 134,663 total nicotine ingestions); pouch ingestion rate rose 763.1% from 2020 to 2023; pouches associated with medical admission OR 2.03 and serious outcome OR 1.53 vs other formulations.
    Excerpt
    “There were 134 663 nicotine ingestions among children younger than age 6 years reported to US poison centers, and most were among children younger than age 2 years (76.2%), boys (55.5%), or occurred at a residence (98.5%). ... Nicotine pouches accounted for only 1.4% of ingestions but were more likely to be associated with a serious medical outcome (OR: 1.53, 95% CI: 1.10-2.13) or medical admission (OR: 2.03, 95% CI: 1.31-3.15) than other product formulations combined. ... No nicotine pouch ingestions were coded in the NPDS before 2020, but the rate of ingestion involving pouches significantly increased by 763.1% from 2020 to 2023 (P < .001).”
    Source data from
    2025-08-01
    Accessed
    2026-06-13
    Calculation
    Pouch formulation-row total in Table 1 = 1,886 (= 1.4% x 134,663). All concentrated in 2020-2023 (no pouch codes before 2020). Denominator ~22.5M US children under 6 (Census 2022) x 4 years = 90M child-years. Annual rate 1,886/90,000,000 = 2.1e-5; cumulative birth-to-6 = x6 = 1.26e-4. Most-recent-year rate from study: all nicotine ingestions 208.02 per 100,000 children under 6 in 2023.
    Independence
    Primary peer-reviewed source for the numerator.
  2. [2] US Food and Drug Administration — FDA Urges Nicotine Pouch Manufacturers to Use Child-Resistant Packaging Following Increasing Reports
    FDA Urges Nicotine Pouch Manufacturers to Use Child-Resistant Packaging Following Increasing Reports
    Statistic
    From April 1, 2022 to March 31, 2025, reported nicotine pouch exposure cases to US poison centers rose steadily, with approximately 72% occurring in children under age 5; toxic effects reported with nicotine doses as low as 1 to 4 milligrams.
    Excerpt
    “From April 1, 2022, to March 31, 2025, the number of reported nicotine pouch exposure cases reported to U.S. Poison Centers steadily increased, with approximately 72% of nicotine pouch exposure cases occurring in children under 5 years of age. ... Nicotine pouches contain concentrated nicotine that can be harmful or potentially fatal to young children, even in small amounts, with toxic effects reported with doses as low as 1 to 4 milligrams.”
    Source data from
    2025-09-02
    Accessed
    2026-06-13
    Calculation
    Corroborates the age concentration (under-5s, ~72%) and severity floor (toxic at 1-4 mg). Used for caveats and the perceived/severity framing, not the numerator. Verbatim text confirmed via Google cache of the live FDA page; live page returned a redirect/error to direct fetch.
  3. [3] National Library of Medicine (PubMed) — Nicotine Ingestions Among Young Children: 2010-2023 (PubMed abstract)
    Nicotine Ingestions Among Young Children: 2010-2023 (PubMed abstract)
    Statistic
    134,663 ingestions; 76.2% under age 2; 98.5% at residence; no effect 36.8%, minor 19.6%; 39 major effects and 2 fatalities; 0.5% medically admitted; pouch rate +763.1% 2020-2023.
    Excerpt
    “There were 134,663 nicotine ingestions among children younger than age 6 years reported to US poison centers, and most were among children younger than age 2 years (76.2%), boys (55.5%), or occurred at a residence (98.5%). ... Moderate effects were observed among 1.2% of ingestions, and there were 39 ingestions with major effects and 2 fatalities. ... 0.5% were medically admitted. The rate of nicotine pouch ingestions increased by 763.1% from 2020 to 2023.”
    Source data from
    2025-08-01
    Accessed
    2026-06-13
    Calculation
    Independent verbatim confirmation of the abstract statistics where the AAP full text was Cloudflare-gated. Confirms the benign-majority outcome distribution underpinning the minor_harm severity classification.
    Independence
    Same study, separate host (NLM); used to verify excerpts when publisher site was blocked.
  4. [4] STAT News — Reports of young children accidentally eating nicotine pouches rose 763% in three years: Study
    Reports of young children accidentally eating nicotine pouches rose 763% in three years: Study
    Statistic
    Pouches made up 1.4% of the accidents; ingestion of pouches soared 763% from 2020 to 2023; NPDS underestimates the true number (Dr. Gary Smith).
    Excerpt
    “Nicotine pouches made up just 1.4% of the accidents ... Ingestion of the pouches soared by 763% between 2020 ... and 2023.”
    Source data from
    2025-07-14
    Accessed
    2026-06-13
    Calculation
    Corroborates the 1.4% pouch share used to back out the 1,886 numerator from the 134,663 total, and the lead author's caveat that NPDS undercounts true incidence (basis for the reported-floor framing).

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

Recently viewed on this device