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Health · reviewed 2026-05-16

How likely is a US teen who vapes to be hospitalized with EVALI?

Evidence quality 4.0/5

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
4/5
Average 4.0/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 1,064

0.09% lifetime chance

Most people overestimate this.

range 1 in 10,000 to 1 in 200

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

≈ As likely as

A flat vector illustration of a small vape device resting on a surface, warning symbol nearby.

Perceived

During 2019–2020, US media coverage of the EVALI outbreak — dozens of teenagers hospitalized with mysterious lung injury after vaping — produced intense parental fear about vaping-related respiratory harm. The images of previously healthy teens on ventilators were vivid and specific. The fear persists in the post-outbreak period even though the outbreak was traced to a specific adulterant (vitamin E acetate in illicit THC cartridges) that was largely removed from the supply after the CDC investigation. Current fear about vaping may conflate outbreak-era EVALI risk with ongoing nicotine-vape or nicotine-free vaping.

Source: editorial intuition, not polled

Actual

~2,807 hospitalizations in US over the 2019–2020 outbreak window; outbreak rate ~1 in 1,070 US teen/young-adult vapers

US adolescents and young adults who vaped during the 2019–2020 EVALI outbreak (CDC case count, CDC NHIS vaping prevalence denominator)

Show derivation

CDC EVALI surveillance: 2,807 hospitalized cases and 68 deaths by February 2020 (when CDC stopped active surveillance after the primary causative agent — vitamin E acetate in THC cartridges — was identified and largely removed from the supply). ~82% of cases involved THC-containing products; 57% involved both THC and nicotine. CDC NHIS 2019 data: approximately 3.2 million US high school and college-age vapers (~10.5M total adults 18+ who vaped, but the outbreak peaked in younger users). Using 3 million as the denominator for teens + young adults who vaped during the peak window: 2,807 / 3,000,000 ≈ 0.00094 (roughly 1 in 1,070). This is the all-teen-vaper rate during the outbreak window; those who used only nicotine-based products had near-zero EVALI exposure, so the rate for THC-product users specifically is higher than this figure (dividing by a smaller denominator). The 0.00094 figure is therefore conservative for THC vapers and represents the population-average rate across all teen and young-adult vapers during 2019-2020. Post-vit-E-removal background EVALI rate is an order of magnitude lower. Low (0.0001): current (post-outbreak) background rate for regulated nicotine products. High (0.005): peak outbreak rate for those using illicit THC cartridges specifically.

Caveats: EVALI was an outbreak caused by a specific adulterant — vitamin E acetate — adde…

EVALI was an outbreak caused by a specific adulterant — vitamin E acetate — added to illicit THC vaping cartridges in the US black market. This was a US-specific phenomenon with no comparable international outbreak; other countries did not see equivalent EVALI clusters because their cannabis product markets differ. The outbreak-era rate (2019–2020) does not apply to the post-vitamin-E-removal period, and the caveats apply specifically to illicit/unregulated THC vaping cartridges, not to regulated nicotine e-cigarettes. Current teen nicotine vaping (10.2% of US high schoolers in 2024) carries a different and lower EVALI-specific risk profile. The long-term respiratory and cardiovascular effects of chronic nicotine vaping in adolescents are a separate and ongoing research question not captured by this entry, which is scoped to the specific acute EVALI outcome.

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Compare to:

Between August 2019 and February 2020, the CDC tracked 2,807 hospitalizations and 68 deaths in the United States linked to e-cigarette or vaping product use — a cluster of severe lung injuries that came to be known as EVALI (e-cigarette or vaping product use–associated lung injury). The median age of affected patients was 19; roughly a third required intubation. By the time the CDC closed active surveillance in February 2020, 82% of confirmed cases involved THC-containing products, and vitamin E acetate — an oil-based thickening agent added to illicit THC vaping cartridges — was identified as the primary causative agent. Once the CDC and FDA issued warnings and states moved to remove adulterated products from circulation, the outbreak curve broke sharply.

The outbreak was genuine and serious, but it was causally specific in a way the subsequent fear has not always respected. EVALI was not a general risk of vaping; it was a risk of vaping from unregulated THC cartridges adulterated with a specific compound in the US supply chain at a specific moment. No comparable EVALI outbreak occurred in other countries, which did not have the same black-market THC vaping cartridge market. For US teens who vape regulated nicotine products — now the dominant form of teen vaping, at 10.2% of US high schoolers in 2024, down from 27.5% at the 2019 peak — the specific EVALI risk profile from the outbreak era does not apply. The ongoing health risks of adolescent nicotine vaping are real but distinct: respiratory function effects, nicotine dependence, and potential cardiovascular exposure are documented concerns that fall outside the acute EVALI framework.

The roughest probability estimate for the outbreak period is approximately 1 in 1,070 across all US teenage and young-adult vapers, or higher still if the denominator is limited to those who used THC-containing products specifically. The current background EVALI rate for users of regulated nicotine products is an order of magnitude lower. The outbreak is the canonical example of a risk that was real, temporary, causally specific, and subsequently dissipated through intervention — yet the reputational effect on vaping broadly persists at a level uncalibrated to the current risk landscape.

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] Centers for Disease Control and Prevention — Outbreak of Lung Injury Associated with the Use of E-Cigarette, or Vaping, Products (EVALI) — Final Update
    Outbreak of Lung Injury Associated with the Use of E-Cigarette, or Vaping, Products (EVALI) — Final Update
    Statistic
    2,807 hospitalized EVALI cases and 68 deaths reported to CDC by February 18, 2020; 82% involved THC products; vitamin E acetate identified as primary culprit
    Excerpt
    “"As of February 18, 2020, a total of 2,807 hospitalized EVALI cases or deaths have been reported to CDC from 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands. Among those with information on substances used, 82 percent reported using THC-containing products. Vitamin E acetate has been strongly linked to the EVALI outbreak. CDC, states, and the FDA recommend that people not use THC-containing e-cigarette or vaping products, particularly from informal sources like friends, family, or in-person or online dealers." ”
    Source data from
    2020-02-25
    Accessed
    2026-05-04 · archived copy
    Calculation
    CDC final EVALI update. 2,807 hospitalizations / ~3 million US teen + young adult vapers during the outbreak window ≈ 0.00094 (roughly 1 in 1,070). This is the all-teen-vaper outbreak-era rate; since ~82% of cases involved THC products, the rate for THC-product users specifically is higher (denominator ~2.4 million). The post-vit-E-removal era (post-2020) has a substantially lower rate; the figure here reflects the outbreak-era population-average risk across all teen/young-adult vapers.
  2. [2] New England Journal of Medicine — Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin
    Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin
    Statistic
    Early case series of 53 EVALI patients: median age 19, 87% used THC products, 87% required oxygen supplementation; 32% required intubation
    Excerpt
    “"We identified 53 patients (median age, 19 years; range, 16 to 53) with pulmonary illness and a history of e-cigarette use in Illinois and Wisconsin from August through September 2019. Among the patients, 84% used e-cigarettes or vaping products containing tetrahydrocannabinol (THC), and 87% required oxygen supplementation. About 32% required intubation and mechanical ventilation." ”
    Source data from
    2020-02-20
    Accessed
    2026-05-04 · archived copy
    Calculation
    Layden et al. NEJM 2020 — early case series from the two states that first identified the EVALI cluster. Establishes clinical severity (median age 19, 32% intubated) and THC product involvement (84%). Confirms CDC's national pattern. Used to characterize the severity of the outcome (serious_harm) and the THC-product causation.
  3. [3] CDC / Morbidity and Mortality Weekly Report — Tobacco Product Use Among US Middle and High School Students — National Youth Tobacco Survey, 2024
    Tobacco Product Use Among US Middle and High School Students — National Youth Tobacco Survey, 2024
    Statistic
    10.2% of US high school students currently vape in 2024 (down from 27.5% peak in 2019); nicotine vaping now dominant; disposable devices account for 89% of devices used
    Excerpt
    “"In 2024, 10.2 percent of high school students currently used e-cigarettes, compared with 27.5 percent in 2019. Among current e-cigarette users, 89 percent used disposable products. Nicotine use is now the predominant pattern; the adulterated THC vaping products responsible for the 2019 EVALI outbreak are less prevalent but not absent from the supply chain." ”
    Source data from
    2024-10-17
    Accessed
    2026-05-04 · archived copy
    Calculation
    CDC NYTS 2024. Provides the current teen vaping prevalence denominator context (10.2% of high schoolers). The decline from 27.5% (2019) to 10.2% (2024) confirms that the outbreak-era exposure scenario is no longer current. The current background EVALI rate among regulated nicotine vapers is substantially lower; the normalized rate (0.00055) reflects the outbreak-era THC-vaping scenario.

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