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Cancer · reviewed 2026-05-16

What are the odds of developing oral cancer from betel nut chewing?

Evidence quality 4.25/5

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
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
4/5
Average 4.25/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 1,290

0.08% lifetime chance

Most people underestimate this.

range 1 in 2,500 to 1 in 625

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

≈ As likely as

Flat vector illustration of split areca nuts on a plain background, muted rust and cream tones, no gore.

Perceived

Among the 600 million people who chew betel nut (areca nut), most perceive the habit as a mildly stimulating cultural tradition — akin to chewing tobacco in the American Southeast or khat in the Horn of Africa. The mouth lesions (oral submucous fibrosis) that precede malignancy are often normalized as an expected side effect rather than a cancer precursor. In parts of India, Taiwan, Papua New Guinea, and the Pacific Islands, betel chewing is embedded in hospitality rituals and gifting practices, which further insulates the habit from medical framing. The 10-to-20-year latency between sustained chewing and frank carcinoma lets each generation underestimate what the prior generation's mortality data would reveal.

Source: editorial intuition, not polled

Actual

~66,000 oral cancer deaths per year globally attributable to areca nut

global adults

Show derivation

The Lancet Oncology (2024) estimates 120,200 oral cancer cases globally in 2022 were attributable to smokeless tobacco or areca nut. GLOBOCAN 2022 data show the oral cancer case-fatality ratio in high-burden countries (India, Pakistan, Bangladesh) is approximately 55%, giving ~66,000 deaths/year from areca-attributable oral cancer globally. Annual rate across 5 billion global adults: 66,000 / 5,000,000,000 = 0.0000132 per year. Compounded over 59 years: 1 - (1 - 0.0000132)^59 ≈ 0.000775, or roughly 1 in 1,290. This is a global average and massively underestimates risk for active chewers: a meta-analysis of human studies (PMC9397398) finds a pooled adjusted relative risk of 7.9 for oral cancer among betel quid chewers (95% CI 7.1–8.7), and cumulative lifetime incidence (not just death) for sustained daily chewers in endemic regions is likely 5–10%.

Caveats: The 1 in 1,290 lifetime figure is the global average across all adults, includin…

The 1 in 1,290 lifetime figure is the global average across all adults, including the approximately 4.4 billion who never chew betel nut. For active daily chewers in South and Southeast Asia, lifetime oral cancer mortality risk is several orders of magnitude higher — IARC's RR of 7.9 applied to a regional base rate of ~1–2% suggests individual lifetime risk of oral cancer death in the range of 8–16% for long-term heavy users. The figures also bundle tobacco-containing betel quid with plain areca nut: areca nut without tobacco is carcinogenic on its own but at a somewhat lower magnitude than quid containing tobacco. Improving oncology infrastructure in South Asia has raised early-detection rates in urban centers, reducing the case-fatality ratio; the 55% CFR used here may overstate current mortality for patients with access to tertiary care.

Risks at similar odds

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Compare to:

The International Agency for Research on Cancer classified areca nut as a Group 1 human carcinogen in 2003 — the same unambiguous tier as tobacco and asbestos — and the classification has never been revisited downward. A 2024 Lancet Oncology analysis estimated that 120,200 oral cancer cases diagnosed globally in 2022 were attributable to smokeless tobacco or areca nut; applying the ~55% case-fatality ratio seen in high-burden countries yields roughly 66,000 deaths per year from a single habit practiced by some 600 million people. Averaged across all global adults, the lifetime mortality risk works out to about 1 in 1,290 — comparable to, and in most endemic regions exceeding, drowning, falls, and road traffic in the same populations.

The perception gap is partly chemical and partly cultural. Arecoline, the primary alkaloid in areca nut, produces mild euphoria and alertness; the habit is physically addictive, socially reinforced, and embedded in hospitality rituals across South and Southeast Asia and the Pacific. Oral submucous fibrosis — the precancerous stiffening of the oral lining produced by repeated areca alkaloid exposure — is visible and uncomfortable but is rarely recognized by users as a cancer precursor. The 10-to-20-year latency between sustained chewing and frank carcinoma means that the generation currently chewing does not directly witness the consequences experienced by the generation before it. Tobacco companies facing regulation in wealthy markets have pivoted to areca-containing products in South Asia with limited regulatory pushback.

The global average conceals two populations with essentially nothing in common risk-wise. A non-chewing adult in a country where betel nut is rarely available faces virtually zero betel-attributable oral cancer risk. A person who has chewed daily for twenty years in rural India or Papua New Guinea — where the prevalence of oral potentially malignant disorders in Asian chewing populations runs around 10.5% — faces a cumulative oral cancer mortality risk that may approach 8-16% over a lifetime, comparable to a tobacco smoker’s lung cancer risk. The aggregated global figure is useful for comparing disease burdens across categories; it is not a risk estimate anyone should apply to their own situation without accounting for exposure.

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 Agency for Research on Cancer / WHO — IARC Monographs Programme finds betel-quid and areca-nut chewing carcinogenic to humans
    IARC Monographs Programme finds betel-quid and areca-nut chewing carcinogenic to humans
    Statistic
    Areca nut classified IARC Group 1 carcinogen; 228,000 of 390,000 global oral cancers (58%) occur in South/Southeast Asia; hundreds of millions of users worldwide
    Excerpt
    “"The IARC Monographs Programme has concluded that there is sufficient evidence that betel quid with tobacco is carcinogenic to humans and that betel quid without tobacco is carcinogenic to humans and that areca nut is carcinogenic to humans. [...] Of the 390,000 oral and oro-pharyngeal cancers estimated to occur annually in the world, 228,000 (58%) occur in South and South-East Asia. [...] Hundreds of millions of users worldwide." ”
    Source data from
    2003-08-07
    Accessed
    2026-04-24 · archived copy
    Calculation
    The Group 1 classification establishes the causal mechanism. The press release does not report the pooled adjusted RR of 7.9 — that figure comes from the IARC Monograph Vol. 85 itself and is cited in the PMC9397398 review below. The IARC classification has not been downgraded in subsequent monograph reviews; Volume 100E (2012) reaffirmed the Group 1 status.
  2. [2] The Lancet Oncology — Global burden of oral cancer in 2022 attributable to smokeless tobacco and areca nut consumption
    Global burden of oral cancer in 2022 attributable to smokeless tobacco and areca nut consumption
    Statistic
    120,200 oral cancer cases globally in 2022 attributable to smokeless tobacco or areca nut; India accounted for 83,400 of these cases (69%)
    Excerpt
    “"Globally, an estimated 120,200 cases of oral cancer diagnosed in 2022 were attributable to smokeless tobacco or areca nut consumption, accounting for 30.8% of all oral cancer cases. India alone accounted for 83,400 of these cases. Countries in South and Southeast Asia, where betel quid chewing is culturally prevalent, bear the largest share of this burden." ”
    Source data from
    2024-09-01
    Accessed
    2026-04-24
    Calculation
    120,200 attributable cases × 55% case-fatality ratio (derived from GLOBOCAN 2022 India oral cancer data, where deaths ≈ 79,979 from ~145,000 incidence) ≈ 66,000 annual deaths globally. This is the primary numerator for the native rate. The 55% CFR is a conservative blend of high-burden countries; in regions with better oncology access the CFR is lower.
  3. [3] Journal of Dental Research / PMC — Areca Nut and Oral Cancer: Evidence from Studies Conducted in Humans
    Areca Nut and Oral Cancer: Evidence from Studies Conducted in Humans
    Statistic
    Pooled adjusted RR for oral cancer among betel quid chewers = 7.9 (95% CI 7.1–8.7); pooled OR for oral submucous fibrosis = 25.7 (95% CI 17.5–37.7); OPMD prevalence in Asia 10.54%
    Excerpt
    “"The pooled adjusted relative risk of these studies was 7.9 (95% CI, 7.1 to 8.7). [...] The risk of oral cancer increases in a dose-response manner with the daily number of quids consumed and the number of years chewing. [...] The prevalence of OPMDs is much higher in Asia (10.54%; 95% CI, 4.60% to 18.55%) as compared with Europe (3.07%). [...] A pooled OR of 25.7 (95% CI, 17.5 to 37.7) for oral submucosa fibrosis. [...] All Taiwanese studies demonstrated a significant dose response with the risk for developing leukoplakia or submucous fibrosis, increased by the exposure level of chewing duration and quantity." ”
    Source data from
    2022-07-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    The RR of 7.9 for oral cancer establishes the magnitude of risk elevation. The dose-response data supports the latency framing in the prose: risk is far higher for long-duration daily chewers than for occasional users. OPMD prevalence of 10.54% in Asia (not the previously cited 5-13%) and the very high OSF OR of 25.7 confirm the precancerous pathway. The paper does not report a specific malignant transformation rate for OSF.

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