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Food · reviewed 2026-05-03

What are the odds of dying from eating a misidentified toxic wild berry?

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
4/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 2,222,222

0.00004% lifetime chance

Most people overestimate this.

range 1 in 10,000,000 to 1 in 333,333

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 444,444 1 in 2,222,222

● your factors — click this risk ▾ to reveal

≈ As likely as

A single cluster of small red berries on a thin branch, flat vector illustration on a pale background.

Perceived

The image of the toxic berry — vivid, beautiful, and lethal — is a fixture of parental warnings, wilderness survival guides, and folk memory. Parents instinctively grab small children away from any unfamiliar berry on a walk, and foragers recount tales of deadly nightshade and yew with casual fluency. The fear is not irrational on its face: some berries genuinely are toxic, and a few species can cause serious harm in quantity. But the perceived risk for an adult who accidentally eats a wild berry vastly exceeds what the data support.

Rough estimate: Many adults treat even a single unknown berry as potentially fatal

Source: editorial intuition, not polled

Actual

~2 deaths per year from all plant ingestions (US, all ages)

US adults aged 18+, all wild plant/berry ingestion deaths

Show derivation

Krenzelok and Mrvos (2011) reviewed AAPCC annual reports 1983-2009 and found only 45 plant ingestion fatalities across the entire 26-year period — approximately 1.7 per year from all plant species combined. NPDS data for 2010 and 2012 each record 2 plant deaths, consistent with this average. We use 2 deaths per year as a conservative upper bound for all wild plant ingestion deaths in the US, noting this figure covers all plant species: Datura and Cicuta (water hemlock) alone account for 35.5% of historical plant fatalities, and most fatal cases involved intentional ingestion or root ingestion rather than accidental berry consumption by adults. Krenzelok et al. (1998) analyzed 11,237 unidentified berry exposure cases over 10 years and found zero fatalities; 99.6% of outcomes were "no effect" or "minor." Berry-specific fatal risk is almost certainly lower than the all-plant figure, but zero reported deaths in the berry dataset makes a separate berry estimate unreliable — the all-plant upper bound of 2/year is used as the headline rate. Against a US adult population of ~260 million, this gives an annual rate of 7.7e-9. Over 59 years of remaining adult life: 1 - (1 - 7.7e-9)^59 ≈ 4.5e-7, or about 1 in 2.2 million. Normalized to 0.00000045. The wide uncertainty range reflects three sources of variance: (1) AAPCC data captures only reported cases — actual plant deaths may be modestly higher (though underreporting of fatal cases is much smaller than for nonfatal cases); (2) the all-plant figure includes Datura/Cicuta fatalities not driven by berry misidentification; (3) accidental adult berry ingestion is a subset of all plant deaths, so the true berry-specific rate may be substantially below 1e-7.

Caveats: The 2/year all-plant figure is an NPDS-reported upper bound; actual plant poison…

The 2/year all-plant figure is an NPDS-reported upper bound; actual plant poisoning deaths may be modestly higher due to underreporting, though fatal cases are captured more reliably than nonfatal ones. The figure covers all accidental plant ingestion deaths in the US — not just berry misidentification by foragers. Intentional Datura ingestion (drug-seeking) and Cicuta root ingestion (misidentified as edible root vegetables) together account for roughly a third of historical plant fatalities. Accidental adult berry ingestion by a casual forager or hiker is a much smaller fraction of that already tiny count. Children under 6 bear most of the exposure burden (81% of plant calls, 88% of berry calls) but the one major berry outcome in the 10-year dataset involved an infant, not a child who independently foraged. Risk is not zero for any specific highly toxic berry species (yew, water hemlock, Atropa belladonna) eaten in sufficient quantity — but the population-level lifetime rate reflects how rarely this scenario materializes.

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Compare to:

The American Association of Poison Control Centers’ National Poison Data System recorded only 45 plant ingestion fatalities across the entire 26-year period from 1983 to 2009 — roughly 1.7 deaths per year from all plant species combined nationwide. Individual year data from the NPDS for 2010 and 2012 each show 2 plant deaths, consistent with that average. Against a US adult population of 260 million, the lifetime probability of dying from any wild plant ingestion — including all species, all scenarios — works out to roughly 1 in 2.2 million. Berry misidentification specifically is even rarer: a separate AAPCC dataset of 11,237 unidentified berry exposures over 10 years found zero fatalities and only one major outcome, which occurred in an infant. On the lifetime-risk scale, wild berry poisoning sits roughly ten times rarer than dying by lightning strike and about forty times rarer than a fatal plane crash.

The perceived-actual gap exists because the fear draws from a different category of information than the data does. Parental warnings about berries are vivid and easily transmitted; the annual death count is so small it never appears in any summary statistic. The plants that actually kill people in the NPDS record — Datura (jimson weed) and Cicuta (water hemlock) — are responsible for 35.5% of historical plant fatalities, and neither fits the “mistook a pretty berry” template. Datura deaths occur almost entirely in adolescents and adults seeking a hallucinogenic effect; Cicuta deaths involve the root, misidentified as edible root vegetables, not berry-like fruits. The toxic berries people fear most — deadly nightshade, yew, pokeweed — have entered the folk-toxicology canon precisely because they look appealing, but actual fatalities from them in the modern US are not documented in the AAPCC dataset in any material number.

The headline figure does not apply uniformly across age or context. Children under six account for 81% of all plant ingestion calls to poison control and 88% of berry exposure calls — but those calls resolve as “no effect” or “minor” in 99.6% of cases, and the single serious outcome in the berry dataset involved an infant. Adults who actively forage wild edibles are a population with modestly elevated absolute exposure but also substantially more botanical literacy than the average person who picks up a backyard holly berry. True risk concentrates, to the extent it concentrates at all, in scenarios where someone systematically harvests and eats a substantial quantity of a species they have confidently misidentified — elderberry confused with water hemlock, for instance — rather than the casual single-berry curiosity that drives most poison control calls.

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] Clinical Toxicology (Krenzelok EP, Mrvos R) — Friends and foes in the plant world: A profile of plant ingestions and fatalities
    Friends and foes in the plant world: A profile of plant ingestions and fatalities
    Statistic
    45 plant ingestion fatalities recorded 1983-2009 (~1.7/year); 668,111 plant ingestion exposures in 2000-2009; Datura and Cicuta responsible for 35.5% of fatal outcomes
    Excerpt
    “"Only 45 fatalities were recorded between 1983 and 2009. Datura and Cicuta species were responsible for 35.5% of the fatal outcomes. [...] During the decade of 2000-2009, 668 111 plant ingestion exposures were reported. [...] Children ≤5 years of age accounted for 81.2% of plant ingestion exposures. [...] Morbidity was related directly to the reason for the exposure with the most severe outcomes occurring in those who ingested plants intentionally for self-harm or substance abuse." ”
    Source data from
    2011-03-01
    Accessed
    2026-05-01 · archived copy
    Calculation
    45 fatalities over 26 years (1983-2009) = 1.73 deaths/year average from all US plant ingestions. This is the denominator for our central estimate. Combined with 2010 and 2012 NPDS data each showing 2 plant deaths, we use 2/year as the central estimate. Against US adult population (~260 million): 2/260e6 = 7.69e-9 annual rate. Lifetime: 1 - (1 - 7.69e-9)^59 ≈ 4.54e-7. The 35.5% Datura/Cicuta share confirms berry-specific deaths are a small fraction of even this tiny total.
    Independence
    This paper draws on AAPCC TESS and NPDS annual report data, same upstream as the Krenzelok 1998 berry study below. Treat as the same institutional data pipeline, used here for fatality counts vs the berry-specific outcome profile below.
  2. [2] Journal of Toxicology and Clinical Toxicology (Krenzelok EP, Jacobsen TD, Aronis J) — Those pesky berries... are they a source of concern?
    Those pesky berries... are they a source of concern?
    Statistic
    11,237 unidentified berry exposures over 10 years; zero fatalities; 99.6% of outcomes were no effect or minor
    Excerpt
    “"Unidentified berry exposures included 11,237 incidents, making it the 11th most common plant-related exposure. Children < 6 y-of-age accounted for 88.5% of the exposures, and 88.5% occurred during June-October. There were no fatalities, and morbidity included 1 major outcome in an infant and 26 exposures with moderate outcomes. In exposures with a known outcome, no effects (86.0%) and minor effects (13.6%) accounted for 99.6% of exposures. [...] Exposures to unidentified berries represent common inquiries to poison information centers. They are associated with low morbidity and no mortality." ”
    Source data from
    1998-01-01
    Accessed
    2026-05-01 · archived copy
    Calculation
    10-year AAPCC dataset: 11,237 berry exposure incidents, zero deaths. This directly constrains the berry-specific fatality rate: if there were even 1 death per 11,237 exposures, we would expect ~1 death/year given ~1,000 annual berry calls (11,237/10 years). The zero-fatality result over a decade of exposures supports treating berry misidentification as a subset with a lower rate than the all-plant 1.7/year figure. The one major outcome occurred in an infant, not an adult forager.
    Independence
    Uses the same AAPCC TESS database as the Krenzelok 2011 paper above, covering an overlapping but distinct query (berry-specific vs all-plant fatalities). The berry dataset predates the 2011 all-plant analysis by a decade; both share the same institutional data pipeline.

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