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Likelier
Cancer · reviewed 2026-04-13

What are the odds of getting melanoma from regular unprotected sun exposure?

Evidence quality 4.75/5

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
5/5
D4 Uncertainty
4/5
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 29

3.4% lifetime chance

Most people underestimate this.

range 1 in 40 to 1 in 22

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 12 1 in 59

● your factors — click this risk ▾ to reveal

≈ As likely as

A single abstract sun shape rendered in muted amber tones against a pale cream background, flat vector illustration.

Perceived

Most people know that sun exposure causes skin cancer in a vague, background-knowledge sort of way, yet UV protection remains inconsistent: fewer than half of US adults report regular sunscreen use, and tanning beds still attract millions of users per year. Melanoma is the fifth most common cancer in the United States, but its lethality relative to its incidence does not register the way lung or pancreatic cancer does. The result is a risk that most people file as "probably fine if I'm careful" rather than one they actively calibrate against.

Rough estimate: 50% of US adults are very or somewhat worried about getting cancer (Gallup, all sites); melanoma-specific worry is lower and inconsistent with actual UV behavior

Source: Gallup (2021) — Cancer, Heart Disease Worries Eclipse COVID-19

Actual

~1 in 29 lifetime (non-Hispanic white US men, diagnosis)

non-Hispanic white US adults

Show derivation

Uses the American Cancer Society direct lifetime probability from SEER 2020-2022 data: 3.5% (1 in 29) for non-Hispanic white men and 2.5% (1 in 40) for non-Hispanic white women. The headline figure of 0.034 is the sex-averaged midpoint weighted toward the higher male rate, reflecting the population-level lifetime diagnosis probability for fair-skinned US adults with typical (i.e., inconsistent) UV protection behavior. This is a diagnosis probability, not a mortality probability — the 5-year relative survival for melanoma is ~95% overall and ~99% for localized disease. Mortality lifetime risk is much lower: ~0.4% for white men (1 in 269), ~0.2% for white women (1 in 496). The ~86% UV-attributable fraction (per the American Academy of Dermatology and WHO) means the vast majority of this risk is behavior-modifiable.

Caveats: This entry reports diagnosis probability, not mortality. Melanoma caught early (…

This entry reports diagnosis probability, not mortality. Melanoma caught early (localized stage) has a 99% five-year survival rate; the lifetime mortality risk for white US adults is roughly an order of magnitude lower than the diagnosis risk (~0.4% for men, ~0.2% for women). The "underrated" framing refers specifically to the gap between the high population-level incidence and the inconsistent UV protection behavior: melanoma is the 5th most common US cancer, yet regular sunscreen use remains a minority behavior. The ~86% UV-attributable fraction (widely cited by WHO, AAD, and others) makes melanoma one of the most preventable common cancers, yet prevention behavior does not match. The Green et al. RCT confidence intervals are wide (the overall HR 0.50 had p=.051), so the "50% reduction" figure should be read as the best available RCT point estimate rather than a precise effect size. Fair-skinned subgroup scoping means the headline number does not apply to Black, Hispanic, or Asian Americans, for whom melanoma risk is dramatically lower.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Non-Hispanic white US men 1 in 29 ACS direct lifetime probability from SEER 2020-2022; 1 in 29
Non-Hispanic white US women 1 in 40 ACS direct lifetime probability from SEER 2020-2022; 1 in 40
US overall (all races) 1 in 45 SEER all-race figure; ~2.2% lifetime diagnosis probability
Hispanic US adults 1 in 200 ACS estimate; 1 in 200
Black US adults 1 in 1,000 ACS estimate; 1 in 1,000 — incidence ~30-40x lower than non-Hispanic white
Australia (fair-skinned) 1 in 20 Australia has the highest melanoma incidence rate globally; estimated ~1 in 20 lifetime for fair-skinned Australians

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

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Liver cancer

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Breast cancer

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Charred meat & cancer

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Colorectal cancer

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Low-fiber CRC risk

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Ovarian cancer

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Prostate cancer

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Compare to:

Fair-skinned Americans face a lifetime melanoma diagnosis probability of roughly 1 in 29 for men and 1 in 40 for women, according to ACS lifetime tables built on SEER 2020-2022 data. That puts melanoma in the same order of magnitude as the lifetime risk of dying from lung cancer — except melanoma is far more survivable (99% five-year survival when caught localized) and far more preventable. An estimated 86% of melanomas are attributable to UV exposure, and the only randomized trial ever conducted on sunscreen and melanoma — Green et al.’s Nambour RCT in Queensland — found that daily sunscreen users developed half the melanomas of discretionary users over a decade of follow-up.

What makes melanoma underrated is not the absolute numbers but the behavioral gap. It is the fifth most common cancer in the United States, with an estimated 234,680 new cases projected for 2026, yet regular sunscreen use remains a minority habit. Five or more blistering sunburns between ages 15 and 20 raise lifetime melanoma risk by 80%, and indoor tanning before age 35 raises it by 59-75% depending on the meta-analysis. These are large, well-documented effect sizes attached to common behaviors that many people treat as cosmetically optional rather than oncologically relevant.

The headline number is scoped to non-Hispanic white adults for a reason: race is the single largest non-modifiable axis of variation. Black Americans face a melanoma risk roughly 30 to 40 times lower than white Americans (about 1 in 1,000 lifetime vs 1 in 33 overall for white adults). Within the fair-skinned subgroup, the personal spread is still large — Fitzpatrick type I-II skin, high mole count, family history, and adolescent sunburn history can each roughly double the baseline, while consistent broad-spectrum sunscreen use can roughly halve it. Australia, with the world’s highest melanoma incidence, illustrates the ceiling: fair-skinned Australians face roughly a 1-in-20 lifetime risk.

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] American Cancer Society — Lifetime Probability of Developing or Dying From Cancer
    Lifetime Probability of Developing or Dying From Cancer

    See all 3 Likelier entries citing this source →

    Statistic
    Melanoma of the skin: men 3.5% (1 in 29) risk of developing, 0.4% (1 in 269) risk of dying; women 2.5% (1 in 40) risk of developing, 0.2% (1 in 496) risk of dying — figures are for non-Hispanic White people
    Excerpt
    “"Melanoma of the skin: 3.5% risk of developing (1 in 29), 0.4% risk of dying from (1 in 269) [men]. Melanoma of the skin: 2.5% risk of developing (1 in 40), 0.2% risk of dying from (1 in 496) [women]. [...] The risk numbers for melanoma are for non-Hispanic White people." ”
    Source data from
    2025-01-30
    Accessed
    2026-04-11 · archived copy
    Calculation
    ACS uses SEER mortality and incidence data (2020-2022) to compute direct lifetime probabilities from a life-table conditional on birth. The 3.5% male and 2.5% female figures are the gold standard for US non-Hispanic white lifetime melanoma diagnosis risk. Sex-averaged midpoint: (0.035 + 0.025) / 2 = 0.030; weighted slightly toward the male rate (higher incidence, larger share of melanoma burden) gives ~0.034 as the headline. Uncertainty band 0.025-0.045 spans the female-only to the upper bound for high-UV-exposure male subgroups.
    Independence
    ACS lifetime probability tables are built directly on SEER 2020-2022 incidence/mortality data and life tables from the same NCHS pipeline referenced by the SEER Stat Facts source below. Treat ACS and SEER as one analytical pipeline on a shared upstream dataset; the AAD and Green (Nambour RCT) sources provide the genuine independent verification.
  2. [2] National Cancer Institute / SEER Program — Cancer Stat Facts: Melanoma of the Skin
    Cancer Stat Facts: Melanoma of the Skin
    Statistic
    Approximately 2.2% of men and women will be diagnosed with melanoma at some point during their lifetime; non-Hispanic white males 39.7 per 100,000/year, non-Hispanic white females 26.8 per 100,000/year; 5-year relative survival 94.7%
    Excerpt
    “"Approximately 2.2 percent of men and women will be diagnosed with melanoma of the skin at some point during their lifetime." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    SEER's 2.2% overall figure covers all races/ethnicities. Non-Hispanic white incidence rates (39.7 M, 26.8 F per 100,000/year) are roughly 30-40x the rates for Black Americans (1.0 M, 0.9 F), confirming the enormous racial disparity that justifies scoping this entry to fair-skinned adults. The 94.7% 5-year survival rate underscores that melanoma diagnosis risk far exceeds mortality risk.
    Independence
    SEER is the upstream data source for the ACS lifetime probability calculations in source 1. Treat as the same pipeline for incidence/mortality figures; included here for the race-stratified incidence rates and overall population figure.
  3. [3] Journal of Clinical Oncology / Green AC, Williams GM, Logan V, Strutton GM — Reduced melanoma after regular sunscreen use: randomized trial follow-up
    Reduced melanoma after regular sunscreen use: randomized trial follow-up
    Statistic
    Daily sunscreen users had half the melanoma incidence of discretionary users (HR 0.50, 95% CI 0.24-1.02); invasive melanoma reduction was 73% (HR 0.27, 95% CI 0.08-0.97)
    Excerpt
    “"11 new primary melanomas had been identified in the daily sunscreen group, and 22 had been identified in the discretionary group (hazard ratio [HR], 0.50; 95% CI, 0.24 to 1.02; P = .051). The reduction in invasive melanomas was substantial (n = 3 in active v 11 in control group; HR, 0.27; 95% CI, 0.08 to 0.97)." ”
    Source data from
    2011-01-20
    Accessed
    2026-04-11 · archived copy
    Calculation
    The Nambour RCT (Queensland, Australia; 1,621 participants; 1992-2006 follow-up) is the only large-scale randomized trial of sunscreen for melanoma prevention. The overall HR of 0.50 (borderline significance at p=.051) and the invasive-melanoma HR of 0.27 (significant) anchor the "~50% melanoma reduction with regular sunscreen" claim used in personal_factor_multipliers. The wide confidence intervals reflect the relatively small number of melanoma events (33 total) over the 10-year follow-up.
    Independence
    Fully independent of SEER/ACS pipeline — Australian population-based RCT with its own endpoint ascertainment.
  4. [4] American Academy of Dermatology — Skin cancer statistics
    Skin cancer statistics
    Statistic
    1 in 28 men and 1 in 39 women lifetime melanoma risk; 5+ blistering sunburns age 15-20 increases melanoma risk by 80%; indoor tanning before 30 increases melanoma risk 6x for women
    Excerpt
    “"It is estimated that melanoma will affect 1 in 28 men and 1 in 39 women in their lifetime. [...] Experiencing five or more blistering sunburns between ages 15 and 20 increases one's melanoma risk by 80% and nonmelanoma skin cancer risk by 68%." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    AAD figures (1 in 28 M, 1 in 39 F) are marginally different from ACS (1 in 29 M, 1 in 40 F) due to different data vintage and rounding; both are within expected variation. The 80% sunburn multiplier (5+ blistering sunburns age 15-20) and the indoor tanning risk figures are used in personal_factor_multipliers.
    Independence
    AAD compiles statistics from multiple sources including SEER, ACS, and independent dermatology literature. The sunburn and tanning bed figures derive from separate epidemiological studies (Lew et al., Lazovich et al.) and are independently sourced from the SEER lifetime probability.

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