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Natural · reviewed 2026-05-16

What are the odds of drowning in the ocean or being swept away by a wave?

Evidence quality 4.63/5

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
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 29,155

0.003% lifetime chance

Most people overestimate this.

range 1 in 50,000 to 1 in 16,667

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 4,165 1 in 291,545

● your factors — click this risk ▾ to reveal

≈ As likely as

A single diagonal wave line curling toward a flat shoreline, viewed from above, flat vector illustration.

Perceived

Public imagination tends to load ocean danger onto the most dramatic visuals: a massive rogue wave sweeping a pier, or a swimmer thrashing against a wall of surf. Shark attacks draw disproportionate media attention despite causing roughly 1-2 deaths per year in the US. The actual dominant ocean-drowning mechanism is invisible to most beachgoers: a narrow seaward-flowing channel of water called a rip current, which can pull even a strong swimmer away from shore at speeds exceeding 8 feet per second. A second population (people standing on rocky Pacific coastline) dies from sneaker waves that arrive without obvious warning. Neither mechanism looks like the Hollywood wave-disaster scenario, and neither is well-served by the intuition that "I can swim, so I'm fine."

Rough estimate: Most beachgoers underestimate rip-current risk and overweight dramatic wave scenarios; strong swimmers often feel immune

Source: editorial intuition, not polled

Actual

~150 surf-zone and ocean drowning deaths per year (US, non-boating)

US residents, all ages, non-boating ocean/surf-zone drowning

Show derivation

The National Weather Service surf-zone fatality database recorded 99 surf-zone deaths in 2025 (full-year confirmed) and a 10-year average of approximately 71/year (acknowledged undercount due to misclassification and unreported cases). The peer-reviewed NHESS Brewster et al. (2019) estimate, based on USLA rescue-cause data from 1997-2016, concludes more than 100 fatal drownings per year are attributable to rip currents alone. Adding NWS-tracked high-surf and sneaker-wave deaths (~20-30/yr) and ocean drownings that occur outside lifeguard-coverage areas, a central estimate of ~150 surf-zone and open-ocean drowning deaths per year is defensible as a midpoint between the acknowledged-undercount NWS figure (~71-99) and the upper-bound NHESS extrapolation (~130-150 rip-current alone). Boating-related drowning is excluded (counted under USCG recreational-boating statistics). Applied to a US adult population of ~258 million with a 59-year remaining-life horizon: annual rate = 150 / 258,000,000 = 5.81e-7; lifetime probability = 1-(1-5.81e-7)^59 ≈ 3.43e-5, or roughly 1 in 29,000. This is a population-average figure; beachgoers, coastal residents, and ocean swimmers face meaningfully higher rates, while the majority of US adults who rarely or never access ocean surf face lower rates. Use personal_factor_multipliers for calibration.

Caveats: The central estimate of ~150 ocean/surf-zone drowning deaths per year is an infe…

The central estimate of ~150 ocean/surf-zone drowning deaths per year is an inference from multiple imperfect sources, not a single official figure. The NWS surf-zone database (~71-99/yr) is explicitly acknowledged as an undercount; the NHESS peer-reviewed estimate (>100/yr for rip currents alone) is an extrapolation from USLA rescue-cause fractions rather than a direct mortality census. CDC WISQARS does not publish a clean "ocean drowning" ICD-10 category separate from other natural-water drownings; the water-body type split is available in the full WISQARS database but is not summarized in the standard public-facing fact sheets. Boating drowning is excluded (see recreational-boating-drowning entry). Sneaker-wave deaths on Pacific coastlines represent a separate mechanism that affects non-swimmers and should not be conflated with surf-zone drowning. The lifetime figure applies to a US adult population average; it substantially underestimates risk for anyone who regularly enters ocean surf.

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Compare to:

The dominant ocean-drowning mechanism in the United States is not a dramatic wave. It is a rip current: a narrow, fast-moving channel of water flowing seaward through a break in a sandbar or around a jetty. Rip currents account for roughly 80 percent of lifeguard rescues at US ocean beaches and, by the best peer-reviewed estimate, more than 100 drowning deaths per year in the United States (Brewster et al., 2019, Natural Hazards and Earth System Sciences). The NOAA National Weather Service surf-zone fatality database counted 99 deaths in 2025 across rip current, high surf, and sneaker-wave categories, and explicitly notes this figure is an undercount due to reporting gaps and misclassification. A reasonable central estimate for total non-boating ocean drowning deaths in the US is approximately 150 per year, producing a population-average lifetime probability of about 1 in 29,000 for a US adult. That is roughly 25 times rarer than all-cause drowning (~1 in 1,400 lifetime) and reflects the fact that most Americans have limited ocean exposure. For a regular surfer or ocean swimmer, the effective rate is meaningfully higher.

Sneaker waves represent a distinct and often underappreciated mechanism. On the Pacific Northwest and Northern California coastlines (Oregon, Washington, and the coast north of San Francisco), waves can arrive at shoreline viewpoints and rocky beaches with little warning, sweeping fully clothed, non-swimming visitors into cold water. The NWS attributes more West Coast deaths to sneaker waves than to all other combined weather hazards in those regions. The physics differs from surf-zone rip currents: the affected person is usually not attempting to swim, may be standing on rock or sand well above the waterline, and has no survival skill available once swept in. Between 2005 and 2017, researchers catalogued 20+ sneaker-wave fatality events along the Pacific Northwest coast. These deaths are geographically concentrated and affect a different population from the Florida and Gulf Coast drownings that dominate the national statistics.

What actually determines individual ocean drowning risk is a combination of exposure, behavior, and competence. At USLA-affiliated guarded beaches, the USLA calculates the per-visit drowning probability at 1 in 18 million, a number so small it reflects both the protective effect of lifeguards and the self-selection of people who go to managed beaches. At unguarded beaches the risk is approximately five times higher. Alcohol is the most consistently identified modifiable risk factor, present in up to 70 percent of adult recreational water deaths (CDC). Inability to swim or low water competency is the primary victim characteristic in rip-current drownings: roughly 40 million US adults cannot swim, and the transition from pool to ocean introduces currents, turbulence, and fatigue that pool competence does not prepare for. The standard rip current escape (swimming parallel to shore until clear of the seaward flow, then angling back at a diagonal) is not intuitive, is rarely rehearsed, and fails under panic or exhaustion. Knowing it reduces risk; following it under stress is the harder part.

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] NOAA National Weather Service — Surf Zone Fatalities in the United States: National Weather Service
    Surf Zone Fatalities in the United States: National Weather Service
    Statistic
    99 surf-zone fatalities in 2025 (full year); 10-year NOAA average approximately 71/year; three tracked hazard categories: rip current, high surf, sneaker wave
    Excerpt
    “"Rip currents cause a large percentage of the surf zone fatalities in the United States. Typically, a victim of a surf zone hazard is a male between the ages of 10-29, and most of the fatalities occur during the months of June and July and in the NWS Southern Region. Accurately tracking these types of fatalities is difficult because so many go unreported and undocumented." ”
    Source data from
    2025-12-31
    Accessed
    2026-05-10 · archived copy
    Calculation
    NWS explicitly states the 10-year average (~71/year) is an undercount due to reporting gaps. The 2025 full-year total of 99 deaths across rip current, high surf, and sneaker wave categories is used as the lower-bound anchor. The NWS counts only deaths occurring in NWS forecast areas with surf-zone advisories; ocean drownings in unmonitored locations are excluded. The 99 figure ÷ 258M US adults = 3.84e-7 annual per-capita rate; lifetime (59 yr): 1-(1-3.84e-7)^59 ≈ 2.27e-5. Used as lower anchor; central estimate (~150/yr) reflects additional ocean drownings outside NWS coverage.
    Independence
    NWS surf-zone fatality database draws from local NWS office incident reports, not from CDC NCHS death-certificate data. The two datasets are methodologically independent and serve as cross-checks; CDC records the manner of death and water-body type (partially), while NWS records the meteorological/oceanographic hazard type.
  2. [2] Natural Hazards and Earth System Sciences (Copernicus / EGU) — Estimations of rip current rescues and drowning in the United States
    Estimations of rip current rescues and drowning in the United States
    Statistic
    Rip currents account for 81.9% of rescues on US surf beaches (75.3% East Coast, 84.7% West Coast); estimated >100 fatal rip-current drownings per year in the United States
    Excerpt
    “"Rip currents are the primary cause of 81.9% of rescues on surf beaches... Using this value as a proxy when examining overall surf beach drowning fatalities, it is suggested that more than 100 fatal drownings per year occur due to rip currents in the United States." ”
    Source data from
    2019-02-15
    Accessed
    2026-05-10 · archived copy
    Calculation
    Brewster et al. (2019) analyzed USLA rescue-cause data from 1997-2016 (19-year series). Applying the 81.9% rip-current fraction to total US surf-beach drownings implies rip currents alone account for >100 deaths/year. This peer-reviewed estimate is the strongest single source for the rip-current component of ocean drowning mortality. Adding non-rip- current surf deaths (high surf, sneaker waves, shore-break) produces the ~150/yr central estimate used for the normalized figure. The USLA independently publishes the ~100/yr rip-current estimate on its rip current safety page, consistent with this study.
    Independence
    Brewster et al. use USLA agency-reported rescue data, a different primary source than NWS incident reports or CDC death certificates. The three data streams (NWS, USLA/NHESS, CDC WISQARS) are methodologically independent and converge on an ocean/surf-zone drowning total in the 100-200/year range.
  3. [3] United States Lifesaving Association — Rip Currents: United States Lifesaving Association
    Rip Currents: United States Lifesaving Association
    Statistic
    Rip currents responsible for approximately 100 drownings per year in the US and over 80% of lifeguard rescues; USLA estimates 1-in-18-million drowning risk per beach visit at USLA-affiliated guarded beaches
    Excerpt
    “"The United States Lifesaving Association estimates that rip currents are responsible for about 100 drownings each year in the United States. Rip currents account for over 80% of lifeguard rescues." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-10 · archived copy
    Calculation
    USLA's published 1-in-18-million per-visit figure (guarded beaches, 10-year average) is used as the protective lower bound. The USLA estimates 400M+ beach visits per year at affiliated guarded beaches. At 1 in 18M per visit, expected deaths = 400M / 18M ≈ 22/yr, which is the guarded-beach subset. USLA also states the risk is ~5x higher at unguarded beaches, yielding approximately 110/yr from the guarded+unguarded extrapolation, consistent with the NHESS >100 rip-current estimate. The ~100 rip-current figure from USLA is used as the primary rip-current estimate; the full ocean total of ~150/yr adds high surf and sneaker wave deaths tracked by NWS.
    Independence
    USLA is the primary professional lifeguard standards organization; its rescue statistics are compiled from member agency reports, distinct from NWS weather-hazard reports and CDC mortality data.

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 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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 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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