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Sport · reviewed 2026-05-23

What are the odds of dying while recreational caving over a typical caving career?

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 167

0.6% lifetime chance

Most people overestimate this.

range 1 in 250 to 1 in 133

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 5.6 1 in 167

● your factors — click this risk ▾ to reveal

≈ As likely as

A single caving helmet with attached lamp resting on a pale neutral surface alongside a coiled length of static rope, flat vector illustration in muted earth tones.

Perceived

Public intuition about caving conflates two activities with very different fatality profiles. Dry caving — the headline scope of this entry — is the typical NSS-affiliated recreational activity (horizontal passage exploration, vertical rope work in known cave systems, organized grotto trips). Cave diving is a sub-speciality undertaken by a small minority of technically proficient cavers and is one of the most lethal recreational activities humans engage in. Headlines and documentaries (Nutty Putty 2009, Tham Luang 2018, recreational cave-diving deaths in Florida sinks) blur the two in lay imagination, leading most observers to estimate dry-caving career risk well above the actual rate. No large-scale survey isolates US public perception of caving fatality odds; this entry uses editorial intuition.

Rough estimate: most people likely overestimate dry caving career risk and underestimate the cave-diving differential

Source: editorial intuition, not polled

Actual

~30 deaths per 100,000 active NSS-affiliated cavers per year (US, 1980–2008 NSS ACA dataset)

US NSS-affiliated active recreational cavers, 1980-2008 (NSS American Caving Accidents dataset)

Show derivation

The Stella-Watts et al. 2012 study in Wilderness and Environmental Medicine analyzed 28 years (1980-2008) of NSS American Caving Accidents reports and identified 81 caving fatalities across the US, averaging approximately 3 deaths per year. The denominator is the active US caving population during that period. NSS membership has been reported in the 8,000-10,000 range for most of the 2000s and 2010s; the broader active US caving community (NSS-affiliated grotto members plus unaffiliated frequent cavers) is plausibly in the 10,000-15,000 range. The 2 million Americans who visit caves annually are overwhelmingly commercial-tour visitors (Mammoth Cave, Carlsbad Caverns, Luray Caverns) on developed walkways and do not constitute "active recreational cavers" in the wild-caving sense relevant to career risk. Using a working denominator of 10,000 active cavers, the annual fatality rate is approximately 30 per 100,000 active cavers per year (3/10,000 = 0.0003). Compound probability over a 20-year caving career: 1 − (1 − 0.0003)^20 ≈ 0.006, or roughly 1 in 167. The numerator (81 deaths over 28 years = 81 / (28 × 10,000) = 28.9 per 100,000 person-years) is essentially the same. Cave diving fatalities are excluded from the headline; they are addressed in personal_factor_multipliers because the rate differential is large enough to merit separate treatment.

Caveats: The headline rate is sensitive to the denominator chosen for "active US cavers".…

The headline rate is sensitive to the denominator chosen for "active US cavers". NSS membership has hovered around 8,000-10,000 over the past two decades, but not every active US caver is an NSS member, and not every NSS member is currently active in field caving. A defensible working denominator of 10,000 active cavers produces the headline rate of approximately 30 per 100,000 per year; using 8,000 would raise the rate to about 37 per 100,000 (20-year career ≈ 0.74%, or roughly 1 in 135), and using 15,000 would lower it to about 20 per 100,000 (20-year career ≈ 0.40%, or roughly 1 in 250). The uncertainty band (0.4%-0.75%) captures this range. The 2 million Americans who visit caves annually are predominantly commercial-tour visitors on developed walkways and are deliberately excluded from this denominator; mixing them in would artificially deflate the rate by orders of magnitude and is not what the question asks. Cave diving is excluded from the headline scope and treated as a personal_factor_multiplier; the dry-vs-wet bifurcation is the single most important factor in caving fatality risk and is explicitly called out rather than averaged in. The Stella-Watts dataset (1980-2008) is the most recent comprehensive epidemiological synthesis; more recent NSS ACA reports (2009-2010, 2017-2018, 2019-2020) suggest broadly similar annual fatality counts in the low single digits, though no updated peer-reviewed analysis has been published. The 20-year career assumption matches the most commonly cited caver-engagement window; cavers who continue into their 60s or 70s accumulate proportionally higher cumulative risk, while those who participate for only a few years before stopping accumulate less. Career-level rates also do not capture trip-level intensity — a caver doing 50 trips per year accumulates exposure faster than one doing 5 trips per year, though the per-year fatality rate used here implicitly averages across these intensities.

Risks at similar odds

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

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EMS duty death

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Compare to:

Recreational dry caving is far less lethal than its underground reputation suggests. The most comprehensive epidemiological synthesis — Stella-Watts and colleagues in Wilderness and Environmental Medicine (2012) — analyzed 28 years of National Speleological Society American Caving Accidents reports (1980-2008) and documented 81 fatalities across the entire US caving community, an average of roughly three deaths per year. Against an NSS-affiliated active caver population of approximately 8,000-10,000, this yields an annual fatality rate of about 30 per 100,000 active cavers per year, or roughly 0.6% over a 20-year caving career — approximately 1 in 167. That is materially below the lifetime US-adult risk of dying in a car crash (~1%) and roughly an order of magnitude below the career risk of commercial fishing or logging. Cave diving is a different activity entirely: the Potts, Buzzacott, and Denoble (2016) analysis in Diving and Hyperbaric Medicine documented 161 US cave-diving deaths over the same general period at an estimated rate 18-30 times higher than dry caving. Public intuition tends to merge the two because both happen underground, but the safety record of organized recreational dry caving is closer to alpine hiking than to extreme sport.

Where dry-cave fatalities do occur, the mechanism is concentrated. Stella-Watts found that caver fall and drowning each accounted for 30% of the 81 deaths, splitting the dataset roughly in half between vertical-caving accidents (anchor failures, rappel-device errors, falls from unprotected ledges) and water-passage incidents (flash flooding in stream caves, sump immersion during reconnaissance, hypothermia following submersion in cold groundwater). Hypothermia, getting lost, and rockfall account for most of the remainder. Cave diving deaths follow a distinct pattern: asphyxia from drowning, almost always preceded by running out of breathing gas after silt-out causes loss of visibility and inability to find the exit line. The mechanism difference reflects the underlying activity difference — dry cavers face the same falls, hypothermia, and getting-lost hazards as mountaineers in technical terrain, while cave divers face a category of failure (loss of breathable air in zero-visibility flooded passage) that has essentially no parallel in surface recreation.

Risk concentrates in identifiable subgroups rather than spreading uniformly. Inexperience contributed to 32% of dry-caving fatalities in Stella-Watts’s dataset, and 84% of victims were male, with a peak age band of 20-29 — the same demographic pattern that recurs across most adventure-recreation epidemiology. Solo caving, vertical-rope-technique trips, and any incursion into wet or sump passages elevate risk above the dry-horizontal baseline. The single largest determinant, however, is the dry-vs-wet bifurcation: a caver who limits trips to known, mapped dry systems with a group of three or more, basic SRT competence, and no sump incursions sits well below the headline rate, while a caver who adds cave-diving certification accepts a 20-to-30-fold step-up in fatality risk per active year. Conflating “caving” with “cave diving” in public discourse is what makes the activity feel dangerous; in practice, the two should be modeled and discussed as nearly separate sports.

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] Wilderness and Environmental Medicine (PubMed) — The Epidemiology of Caving Injuries in the United States
    The Epidemiology of Caving Injuries in the United States
    Statistic
    877 incident reports involving 1,356 cavers (1980-2008); 81 documented fatalities; falls and drowning each accounted for 30% of caver deaths
    Excerpt
    “"Over a 28-year period (1980-2008), 877 incident reports involving 1,356 cavers were documented by the National Speleological Society in American Caving Accidents. Of these, 81 caving fatalities occurred. Falls accounted for 74% of traumatic injuries; the most common mechanisms leading to death were caver fall and drowning, with 24 (30%) deaths each. Eighty-four percent of fatality victims were male; the peak age group was 20-29 years." ”
    Source data from
    2012-09-01
    Accessed
    2026-05-23 · archived copy
    Calculation
    Primary peer-reviewed source for the 81-deaths-over-28-years (≈3 per year) headline figure. The paper does not publish a per-100,000 rate because it lacks a formal denominator; the denominator used here (~10,000 NSS-affiliated active cavers) is derived from NSS membership figures published independently on caves.org. Combined: 81 deaths / (28 years × 10,000 cavers) ≈ 28.9 per 100,000 active-caver-years, rounded to 30/100,000 for the native display.
    Independence
    Peer-reviewed analysis published in Wilderness and Environmental Medicine by Stella-Watts, Holstege, Lee, and Charlton at the University of Virginia. Methodologically independent of NSS itself — the authors are academic emergency-medicine researchers conducting epidemiological synthesis of the ACA dataset, not NSS staff.
  2. [2] National Speleological Society — American Caving Accidents (NSS Annual Publication)
    American Caving Accidents (NSS Annual Publication)
    Statistic
    Annual journal of record for North American caving incidents and fatalities; NSS reports over 8,000 members
    Excerpt
    “"American Caving Accidents is the journal of record for accident and safety incident reports from the North American caving community. The National Speleological Society has over 8,000 Members and is the largest caving focused membership organization in the world." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-23 · archived copy
    Calculation
    Provides the denominator anchor: NSS member-reported >8,000 active members. The broader US active caver population is plausibly 10,000-15,000 once unaffiliated grotto-active cavers are included; this informs the uncertainty band (0.004-0.0075). NSS itself is the publisher of the underlying ACA incident dataset analyzed by Stella-Watts 2012, so numerator and denominator derive from related but distinct NSS data streams.
    Independence
    Direct NSS organizational publication; provides the active-population denominator anchor that the peer-reviewed source (Stella-Watts 2012) does not formally publish. NSS membership counts are self-reported by the organization; cross-validated by Wikipedia (8,700-10,000 range across different reporting periods).
  3. [3] Diving and Hyperbaric Medicine (PubMed) — Thirty years of American cave diving fatalities
    Thirty years of American cave diving fatalities
    Statistic
    161 US cave diving fatalities between July 1985 and June 2015 (30 years); average ~5.4 per year; trend declining from 8 per year to under 3 as training improved
    Excerpt
    “"Between July 1, 1985, and June 30, 2015, a total of 161 divers died during cave diving expeditions in the United States, with 67 being trained cave divers and 87 being untrained. The most common cause of death was asphyxia due to drowning, preceded by running out of breathing gas, usually after getting lost owing to a loss of visibility caused by suspended silt. The annual number of cave diving fatalities has steadily fallen over the last three decades, from eight to less than three." ”
    Source data from
    2016-09-01
    Accessed
    2026-05-23 · archived copy
    Calculation
    Cave diving sub-speciality data, used for the personal_factor_multiplier analysis (not the headline). 161 deaths / 30 years = 5.37/year. Active US cave-diving population is much smaller than dry caving — the NSS Cave Diving Section (founded 1974) and PADI/TDI/NACD-certified active US cave divers number in the low thousands at most, with frequent estimates around 500-1,500 regularly active. Using 1,000 active cave divers: 5.37/1000 = 0.00537/year, or 537 per 100,000 per year — roughly 18-30 times the dry caving rate depending on which denominator is chosen. The 30× multiplier used in the personal_factor analysis is the conservative midpoint.
    Independence
    Peer-reviewed cave-diving fatality analysis by Potts, Buzzacott, and Denoble from Divers Alert Network (DAN). Methodologically independent of the NSS caving-accidents dataset; cave-diving deaths are tracked by NSS-CDS, International Underwater Cave Rescue and Recovery (IUCRR), and DAN separately from terrestrial caving accidents.
  4. [4] Wikipedia — Caving (Wikipedia)
    Caving (Wikipedia)
    Statistic
    Cave diving is described as 'a distinct, and more hazardous, sub-speciality undertaken by a small minority of technically proficient cavers'
    Excerpt
    “"Caving is a fairly safe sport compared to other activities, although incidents do occur related to flooding, hypothermia, rockfalls, and rope-technique accidents. Cave diving is a distinct, and more hazardous, sub-speciality undertaken by a small minority of technically proficient cavers." ”
    Source data from
    2026-05-01
    Accessed
    2026-05-23 · archived copy
    Calculation
    Supporting reference establishing the editorial framing — dry caving as the typical recreational activity, cave diving as a distinct sub-speciality with a separate (higher) risk profile. Not used to derive headline numbers.
    Independence
    Encyclopedia entry; supplementary context only. The headline arithmetic and the cave-diving multiplier are both grounded in peer-reviewed sources (Stella-Watts 2012, Potts 2016).

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