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Kids · reviewed 2026-05-16

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

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

Lifetime probability · lifetime, subgroup

1 in 6,494

0.02% lifetime chance

Most people underestimate this.

range 1 in 11,628 to 1 in 3,846

lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A single bright colourful laundry detergent pod resting on a plain grey surface, flat vector illustration with muted rendering.

Perceived

Laundry detergent pods are brightly coloured, compact, and soft — properties that also describe a class of children's toys. Parents with young children know vaguely that pods are dangerous, but most frame this as "keep cleaning products locked up" rather than as a time-critical emergency with a specific severity profile. The media coverage of the "Tide Pod Challenge" social media trend (2018) temporarily raised awareness of pod toxicity, but in the context of teenagers deliberately eating them rather than toddlers accidentally ingesting them. The underlying hazard — that a single pod contains highly concentrated alkaline detergent that can cause respiratory depression, chemical burns to the esophagus, CNS depression, and coma even in small ingestions — is not commonly understood. The hazard is directionally known (parents know pods are dangerous) but its severity profile, relative to traditional detergent, is substantially underrated.

Rough estimate: Most parents are aware pods should be kept out of reach but do not carry a number for the hazard; the gap in mental models is around severity (hospitalisation and coma risk) vs. a minor poisoning event

Source: editorial intuition, not polled

Actual

~427 exposure calls per 1 million US children under 6 per year (Gaw et al. 2023, post-standard era)

US children aged 0-5, exposure calls to Poison Control Centers (NPDS), 2022 data

Show derivation

Gaw et al. (2023, Clinical Toxicology) reported 427.4 exposure calls per 1 million US children under 6 per year in 2022, based on the National Poison Data System (NPDS). These are calls in which a child was exposed to laundry pods — ingestion, skin contact, or eye exposure — and a parent or caregiver contacted Poison Control. Among single-substance exposures, 6% resulted in serious medical outcomes (hospitalisation, ICU admission, or respiratory intervention). Per-year serious outcome rate: 427.4 × 0.06 = 25.6 per 100,000 children under 6 per year. Compounded across the six-year peak-risk window (ages 0-5): 25.6 × 6 / 100,000 = 0.1536 per 1,000 = approximately 1 in 6,500. The hospitalization-specific rate (using the 4.47% hospitalization rate from the 2014 Nationwide Children's study) gives 427.4 × 0.0447 × 6 / 1,000,000 ≈ 1 in 8,700. All figures are US population-wide averages across both pod-using and non-pod-using households. In households that actively use pods, the rate per child is approximately 4-5 times higher (given ~20-25% US household pod penetration). The voluntary safety standard (ASTM F3159-15, implemented 2015) reduced child ED injury rates by 49-62% from the pre-standard peak (Lovegrove et al. 2020); the current rate reflects the post-standard era. No documented pediatric deaths appear in the 2014-2022 NPDS longitudinal study; child mortality from pod ingestion, while reported in earlier case literature, is extremely rare.

Caveats: The 1-in-6,500 figure represents serious medical outcomes (hospitalisation, ICU,…

The 1-in-6,500 figure represents serious medical outcomes (hospitalisation, ICU, respiratory intervention) during the peak-risk window of ages 0-5, across the full US child population including households without pods. In a household that actively uses laundry pods, the per-child rate is approximately 4-5 times higher. "Serious medical outcome" in NPDS surveillance includes a spectrum from ICU observation to coma and intubation — it does not require a fatal outcome. The 9 deaths in the 2014-2022 longitudinal surveillance were all adults over 70; no pediatric deaths appear in that dataset, though earlier case reports before the voluntary safety standard era include pediatric fatalities. The 2022 rate (427.4/million) is substantially lower than the pre-standard peak but remains elevated; the voluntary ASTM standard (2015) was associated with a 49-62% reduction in ED injury rates, but pod ingestions continue at roughly one call every 44 minutes nationally. This entry covers all exposure routes — ingestion, eye exposure, and skin contact — but ingestion carries the highest severity. Eye exposure produces chemical burns requiring irrigation but rarely systemic effects. Comparison to button battery ingestion: pods cause more exposures but fewer severe outcomes per exposure; button batteries cause far fewer exposures but have a catastrophic outcome rate in the 20mm+ lithium subset.

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Health

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Compare to:

Laundry detergent pods contain concentrated alkaline cleaning agents at roughly five to ten times the concentration of traditional liquid detergent, packaged in a thin water-soluble membrane that dissolves on contact with a wet surface — including the inside of a toddler’s mouth. When a child bites or squeezes a pod, the membrane ruptures and deposits the full concentrated dose of surfactant, builder, and enzyme directly onto mucosal tissue. The result is not an ordinary detergent exposure: Sherrill and colleagues (2016, Injury Prevention) found that laundry pod exposures were associated with 4.8 to 23.5 times higher odds of hospitalization and 6.9 to 71.3 times higher odds of intubation than traditional detergent exposures in children. Both deaths in their 2013-2014 dataset were pod-associated; neither was from traditional detergent.

Gaw et al. (2023, Clinical Toxicology), analysing 114,826 exposure calls to US Poison Control Centers from 2014 to 2022, found that children under 6 account for 87% of all laundry pod exposures and the current annual exposure rate is 427 calls per million US children under 6. Six percent of single-substance exposures result in serious medical outcomes. Compounded across the six-year peak-risk window (ages 0-5), roughly 1 in 6,500 US children experience a serious medical outcome from a laundry pod exposure. In households that use pods, the rate is approximately four to five times higher. No confirmed pediatric deaths appear in the 2014-2022 surveillance dataset, though pediatric fatalities were reported in earlier case literature before the voluntary safety standard era.

The ASTM F3159-15 voluntary standard, published in October 2015, required compression resistance of at least 300 Newtons, a bitter aversive agent in the soluble film, and child-resistant outer packaging. Lovegrove et al. (2020, American Journal of Public Health) found the standard was associated with a 49-62% reduction in child ED injury rates, estimating it prevented 9,200 to 23,000 ED-treated injuries over 2015-2018. The current exposure rate (one Poison Control call every 44 minutes nationally) represents the floor of the voluntary-standard era. Mandatory PPPA-compliant child-resistant packaging, which some researchers and paediatricians have called for, has not been implemented; the persistence of exposures at this rate reflects the limits of voluntary measures and the ongoing challenge that the pods’ physical properties — compact, brightly coloured, soft, slightly translucent — remain similar to attractive objects in a toddler’s environment.

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] Clinical Toxicology — Gaw, Center for Injury Research and Policy, Nationwide Children's Hospital, 2023 — Longitudinal trends in liquid laundry detergent packet exposures: 2014–2022
    Longitudinal trends in liquid laundry detergent packet exposures: 2014–2022
    Statistic
    114,826 total NPDS exposure calls (2014-2022); children under 6 account for 87% of calls; 2022 rate 427.4 per million children under 6; 6% serious medical outcomes; 9 deaths (all adults over 70); one call every 44 minutes in most recent 3-year period
    Excerpt
    “"Many families don't realize how toxic these highly concentrated laundry detergent packets can be... 114,826 total NPDS exposure calls, January 2014-December 2022... children under 6 [accounted for] 87% of all exposures... Annual rate (2022): 427.4 exposures per 1 million children under 6... 6% of single-substance exposures resulted in serious medical outcomes... 9 deaths over the 9-year period — all adults; 7 were over age 70; no child deaths." ”
    Source data from
    2023-12-15
    Accessed
    2026-05-09 · archived copy
    Calculation
    427.4/million/year is the primary exposure rate used for native numerator. The 6% serious-outcome rate is applied to this to compute normalized lifetime figure: 427.4 × 0.06 × 6 years / 1,000,000 = 0.0001537 ≈ 1 in 6,500. The 9 deaths in 2014-2022 were all adults; no confirmed pediatric deaths in this systematic surveillance period, although earlier case reports document pediatric deaths before the voluntary safety standard era.
  2. [2] American Journal of Public Health — Lovegrove et al., 2020 — Impact of the Voluntary Safety Standard for Liquid Laundry Packets on Child Injuries Treated in US Hospital Emergency Departments, 2012–2018
    Impact of the Voluntary Safety Standard for Liquid Laundry Packets on Child Injuries Treated in US Hospital Emergency Departments, 2012–2018
    Statistic
    ASTM F3159-15 voluntary standard associated with 49-62% reduction in child ED injury rate; prevented 9,200-23,000 ED-treated injuries (2015-2018); ED visit rate fell from peak ~5,700/year to ~3,340/year by 2018
    Excerpt
    “"The voluntary standard may have reduced the child injury rate by 49.4% to 61.6% from levels that would have been expected in the absence of the voluntary standard... [and] may have prevented 9,200 to 23,000 ED-treated injuries from 2015 to 2018." ”
    Source data from
    2020-07-01
    Accessed
    2026-05-09 · archived copy
    Calculation
    The pre-standard peak of ~5,700 child ED visits/year and post-standard ~3,340/year (2018) reflect the effect of ASTM F3159-15 (compression resistance ≥300 N, bitter aversive agent, child-resistant outer packaging). The current rate in Gaw 2023 (2022 data) has continued to decline modestly from the 2018 level. Lovegrove provides the trajectory context showing that the current hazard profile is substantially improved from the pre-standard peak but has not reached zero.
    Independence
    Lovegrove et al. use NEISS-based ED visit data from the CDC WISQARS system, which is methodologically independent of Gaw et al.'s NPDS call-based surveillance. The two approaches measure different endpoints (ED visits vs. poison control calls) and confirm each other's order of magnitude.
  3. [3] CDC Morbidity and Mortality Weekly Report, October 12, 2012 — Health Hazards Associated with Laundry Detergent Pods — United States, May–June 2012
    Health Hazards Associated with Laundry Detergent Pods — United States, May–June 2012
    Statistic
    80% of children under 5 exposed to pods had minor, moderate, or major adverse effects; significantly higher vomiting (55% vs 34%), drowsiness/lethargy (7% vs 2%) than non-pod detergent exposure
    Excerpt
    “"Among children aged ≤5 years, a significantly greater proportion of those exposed to laundry detergent from pods had gastrointestinal and respiratory adverse health effects and mental status changes... 80% of pod-exposed children under 5 had adverse effects vs 63% for non-pod exposures." ”
    Source data from
    2012-10-12
    Accessed
    2026-05-09 · archived copy
    Calculation
    This is the earliest CDC surveillance report on pod-specific toxicity in children, establishing the pre-standard baseline for severity comparison. The 80% adverse-effect rate vs. 63% for non-pod detergents, and the notably higher drowsiness/lethargy (7% vs. 2%), documented the CNS-depression component of pod toxicity that distinguishes it from ordinary detergent exposure. Used here for severity context rather than for current rate estimation.
  4. [4] Injury Prevention — Sherrill et al., 2016 — Laundry pod and non-pod detergent related emergency department visits occurring in children in the USA
    Laundry pod and non-pod detergent related emergency department visits occurring in children in the USA
    Statistic
    Laundry pod exposures vs. traditional detergent: OR 3.9-8.2 for clinical effects; OR 4.8-23.5 for hospitalisation; OR 6.9-71.3 for intubation; OR 8.4-22.6 for serious medical outcome; 2 deaths associated with pods vs. zero with traditional detergent (2013-2014)
    Excerpt
    “"The odds of clinical effects (3.9-8.2), hospitalisation (4.8-23.5), intubation (6.9-71.3), and serious medical outcomes (8.4-22.6) were significantly higher for laundry detergent packet exposures than for other types of detergent." ”
    Source data from
    2016-06-20
    Accessed
    2026-05-09 · archived copy
    Calculation
    Sherrill et al. is the head-to-head comparison that quantifies how much more dangerous pods are than traditional detergent — the source for the "5-8x more dangerous" claims in public health communications. The intubation OR upper bound of 71.3 is the most striking single figure: it means that in the most severe scenarios, pod exposure was associated with intubation at a rate up to 71 times higher than traditional detergent exposure. This source anchors the severity framing rather than the rate calculation.
    Independence
    Sherrill et al. draw from the 2013-2014 NPDS data using a case-control design comparing pod vs. non-pod detergent outcomes. Methodologically distinct from the longitudinal trend analyses of Gaw 2023 and the ED-visit-based approach of Lovegrove 2020.

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