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Other · reviewed 2026-05-16

What are the odds of financial ruin from a gambling addiction?

Evidence quality 4.13/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
4/5
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 4.13/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 159

0.6% lifetime chance

Most people underestimate this.

range 1 in 333 to 1 in 83

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 32 1 in 265

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≈ As likely as

A pair of dice casting a long shadow over an empty wallet, muted grey and amber tones, flat vector illustration.

Perceived

Gambling addiction is generally perceived as a niche problem affecting a small, identifiable population — stereotypically older men in casinos. The rapid expansion of legal sports betting since the 2018 Supreme Court decision in Murphy v. NCAA has increased awareness but not proportionally increased perceived personal risk. Most adults who gamble occasionally consider themselves immune to disorder, and the marketing of sports betting as entertainment and skill-based activity further normalizes the behavior. Public health campaigns around problem gambling remain underfunded relative to those for alcohol and drug addiction, and the financial consequences — as opposed to the psychological ones — receive comparatively little media attention.

Rough estimate: ~1-2% of adults affected

Source: editorial intuition, not polled

Actual

~1.4% of adults globally experience gambling disorder or problematic gambling (Lancet Public Health 2024 meta-analysis)

global adults (Lancet Public Health 2024 systematic review and meta-analysis, 2010-2024 studies)

Show derivation

The 2024 Lancet Public Health systematic review and meta-analysis (studies from 2010-2024) found that approximately 1.41% of adults experience gambling disorder or problematic gambling (current prevalence). Lifetime prevalence is estimated at 2.5-3.4% (National Research Council, 1999; Kessler et al., 2008). We use a conservative lifetime estimate of 2.5%, consistent with the ratio of lifetime to current prevalence in longitudinal studies. Among those who develop gambling disorder, the PMC bankruptcy study (Journal of Gambling Studies) finds 19-23% file for bankruptcy, with average gambling-related debts of $42,000-$53,000. Using bankruptcy filing as the most rigorously measured severe-harm indicator (rather than summing overlapping debt categories): 2.5% lifetime disorder prevalence x ~25% severe financial harm rate (bankruptcy or equivalent financial ruin) = ~0.63% (0.0063), or approximately 1 in 160 US adults. The uncertainty range spans 0.3% (lower-bound 1.6% prevalence x 19% bankruptcy-only) to 1.2% (upper-bound 3.4% prevalence x ~35% including bankruptcy plus non-overlapping extreme debt).

Caveats: The 0.63% lifetime estimate combines epidemiological prevalence data with financ…

The 0.63% lifetime estimate combines epidemiological prevalence data with financial-harm research that spans different eras of gambling availability. The post-2018 sports betting expansion is too recent to have produced 20-year longitudinal data, so the lifetime impact of ubiquitous mobile betting is necessarily speculative. The NCPG's NGAGE 3.0 actually showed a slight decline in problematic gambling indicators from 2021 to 2024, which the NCPG attributes to novelty effects wearing off and improved responsible-gambling tools. Bijker et al. (2022) found that approximately 20% of people with problem gambling seek help — low but substantially higher than the frequently cited 8% figure. Financial ruin — as opposed to clinical diagnosis — is not systematically tracked. "Financial ruin" is not a clinical term and is defined here as bankruptcy, loss of home, or debt exceeding annual income — a threshold that captures the severe tail but not the broader population experiencing moderate gambling-related financial stress. Note that NGAGE 3.0 explicitly states it is "NOT a study of the prevalence of gambling addiction" — it measures gambling participation and behavioral indicators, not DSM-5 disorder prevalence.

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
States with legal sports betting (38 states, 2025) 1 in 125 Legal sports betting expansion since 2018 has increased accessibility; early data suggests higher problem gambling rates in states with mobile betting
States without legal sports betting 1 in 200 Casino and lottery gambling still present but lower overall accessibility

Risks at similar odds

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

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Medical bankruptcy

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Compulsive buying disorder

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Compare to:

Approximately 1.4% of adults globally experience gambling disorder or problematic gambling, according to the 2024 Lancet Public Health systematic review and meta-analysis covering studies from 2010 to 2024. The NCPG’s NGAGE 3.0 survey — which explicitly notes it is “not a study of the prevalence of gambling addiction” but rather a survey of gambling attitudes and experiences — found that about 8% of American adults report at least one indicator of problematic gambling behavior. Point prevalence understates the lifetime picture: epidemiological studies consistently estimate that 2.5-3.4% of adults will meet criteria for pathological or disordered gambling at some point in their lives. Among those who develop the disorder, the financial consequences are not subtle. Research published in the Journal of Gambling Studies found that 19-23% of pathological gamblers file for bankruptcy — roughly four times the general-population rate — with average gambling-related debts between $42,000 and $53,000.

The landscape shifted dramatically after the Supreme Court struck down the Professional and Amateur Sports Protection Act in 2018, opening the door to legal sports betting in what is now 38 states. Mobile betting apps have made it possible to wager continuously from a phone, collapsing the friction that once separated a casual gambler from a compulsive one. The NCPG’s 2024 data, somewhat counterintuitively, showed a slight decline in problematic gambling indicators from the 2021 pandemic-era peak, which the Council attributes to novelty effects fading and improved responsible-gambling features. Whether that trend holds as a generation that came of age with sports betting apps reaches middle age — when financial obligations and gambling losses compound — remains an open question.

Approximately 20% of people with problem gambling seek help, according to a 2022 systematic review and meta-analysis in Addiction (Bijker et al.) covering 24 studies globally — low, but substantially higher than the widely repeated 8% figure that lacks a rigorous source. Financial ruin from gambling typically unfolds over years of hidden losses, surfacing only when credit is exhausted and debts become unserviceable. By that point, the damage extends well beyond the gambler — 37% of people engaging in risky play believe recovery is unlikely, a fatalism that delays intervention and deepens the financial hole.

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] National Council on Problem Gambling — NGAGE 3.0: National Survey on Gambling Attitudes and Gambling Experiences (2024)
    NGAGE 3.0: National Survey on Gambling Attitudes and Gambling Experiences (2024)
    Statistic
    8% of American adults reported at least one indicator of problematic gambling behavior; approximately 2-3 million adults likely meet criteria for gambling disorder
    Excerpt
    “"About 8% of American adults — nearly 20 million people — reported experiencing at least one indicator of problematic gambling behavior. Approximately 2-3 million adults likely meet criteria for gambling disorder." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    IMPORTANT: NGAGE 3.0 explicitly states it is "NOT a study of the prevalence of gambling addiction" and was not designed to assess DSM-5 gambling disorder prevalence. It measures gambling participation, attitudes, and behavioral indicators. The ~1% and 2-3 million figures are the survey's own estimates of likely disorder but are not derived from clinical diagnostic instruments. This source is used here for context on gambling participation and behavioral indicators, not as the primary prevalence figure. The primary prevalence estimate comes from the 2024 Lancet Public Health systematic review and meta-analysis.
    Independence
    NGAGE is a nationally representative survey conducted by the NCPG using an independent research panel (Ipsos), methodologically distinct from clinical prevalence studies and from administrative gambling industry data.
  2. [2] Journal of Gambling Studies / PMC — Pathological Gambling and Bankruptcy
    Pathological Gambling and Bankruptcy
    Statistic
    19.2% of pathological gamblers filed for bankruptcy (NORC Gambling Impact and Behavior Study); 22.8% in a later clinical sample
    Excerpt
    “"The Gambling Impact and Behavior Study found that 19.2% of pathological gamblers had filed bankruptcy, compared to 5.5% of low-risk gamblers. A later study found that 22.8% of pathological gamblers had declared bankruptcy with an average debt of $53,103." ”
    Source data from
    2010-03-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    The bankruptcy rate among pathological gamblers (19-23%) is roughly 4x the general population rate (~5%). This study provides the key bridge between gambling disorder prevalence and financial ruin: if ~2.5% of adults develop gambling disorder over a lifetime and ~20-25% of those experience severe financial harm (bankruptcy or equivalent), that yields ~0.5-0.63% lifetime risk of gambling-related financial ruin. The debt categories (33% with $10k-$50k, 21% with $50k-$100k) overlap substantially with the bankruptcy group and with each other, so they cannot be summed to produce an independent severe-harm rate.
    Independence
    This peer-reviewed analysis uses data from the NORC Gambling Impact and Behavior Study (commissioned by the National Gambling Impact Study Commission), independent from the NCPG's NGAGE survey methodology.
  3. [3] National Council on Problem Gambling — FAQs: What is Problem Gambling?
    FAQs: What is Problem Gambling?
    Statistic
    An estimated 2.5 million US adults meet criteria for severe gambling problems; another 5-8 million have mild or moderate problems
    Excerpt
    “"An estimated 2.5 million U.S. adults (1% of the population) are estimated to meet criteria for severe gambling problems. Another 5-8 million (2-3%) would be considered to have mild or moderate gambling problems." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-26 · archived copy
    Calculation
    The FAQ page provides prevalence data consistent with the NGAGE 3.0 survey: ~1% severe, 2-3% mild-to-moderate. The frequently cited "only 8% seek help" figure does not appear on this page and is contradicted by the Bijker et al. (2022) systematic review and meta-analysis in Addiction, which found that approximately 20.6% of people with problem gambling seek help (1 in 5). The low but non-trivial treatment-seeking rate implies that the majority of gambling-related financial harm goes unaddressed until it reaches crisis levels (bankruptcy, divorce, criminal charges).

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