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Animal · reviewed 2026-05-02

What are the odds of being exposed to a bat in a way that warrants rabies treatment?

Evidence quality 4.75/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 238

0.4% lifetime chance

range 1 in 333 to 1 in 143

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 4.8 1 in 1,190

● your factors — click this risk ▾ to reveal

≈ As likely as

A bat silhouette in profile next to a small syringe representing the rabies vaccine, with a faint hair strand and subtle X in the background

Perceived

Bats occupy two opposite slots in popular imagination. The first — and more widely discussed — is the hair-entanglement myth: the folk belief that bats swoop into human hair and become hopelessly tangled. That fear is almost entirely false; echolocating bats can detect a wire 0.1 mm in diameter in the dark and actively avoid objects including human hair. The second slot, far less appreciated, is the genuine public-health hazard: bats are the leading source of human rabies deaths in the United States, responsible for more than 70% of domestically acquired cases since 1960. The real risk is invisible precisely because bat bites can be so small and painless that they go unnoticed — making the population systematically underaware of when PEP is warranted.

Source: editorial intuition, not polled

Actual

roughly 7 in 100,000 US residents per year receive post-exposure rabies treatment after bat contact

US general population

Show derivation

The CDC estimates approximately 60,000 people receive rabies post-exposure prophylaxis (PEP) each year in the United States following contact with a potentially rabid animal. Bats account for the single largest share of those treatments. New York State surveillance data found bats responsible for ~30% of PEP courses in that state; national estimates range from roughly one-third to two-thirds depending on region and year. Using a central estimate of ~40% bat-attributed PEP nationally (24,000/yr) across the full US population of ~335 million gives an annual rate of approximately 7.2 per 100,000. Compounded over 59 years of remaining adult life: 1 − (1 − 7.2 × 10⁻⁵)⁵⁹ ≈ 0.0042, roughly 1 in 240. This denominator counts PEP administrations — the clinically relevant threshold where a physician judged the bat contact sufficient to warrant treatment. PEP captures bites, scratches, and mucous-membrane contacts, including the epidemiologically important case of waking in a room with a bat (the CDC's defined potential-exposure scenario). Rabies without PEP is nearly always fatal; with PEP, survival is virtually 100%.

Caveats: The normalized figure counts PEP administrations, not confirmed bites. PEP is th…

The normalized figure counts PEP administrations, not confirmed bites. PEP is the clinically meaningful denominator because bat bites are frequently undetected — history of a known bite was not elicited in roughly half of US human rabies cases attributed to bats (CDC). Rabies is nearly 100% preventable with timely PEP; the ~1-3 annual US human rabies deaths occur almost exclusively in people who did not receive PEP after bat contact. The hair-entanglement myth is false: bats' echolocation is precise enough to detect a single strand of hair in the dark, and they actively avoid obstacles while pursuing insects. The genuine hazard is not the bat swooping close — it is the bite that might not wake a sleeping person.

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Compare to:

The United States records roughly 1-3 human rabies deaths per year, and more than 70% of domestically acquired cases since 1960 have been traced to bat exposures (CDC MMWR, 2019). That small annual toll is not evidence that the risk is trivial — it is evidence that post-exposure prophylaxis (PEP) works. The CDC estimates approximately 60,000 Americans receive rabies PEP each year after contact with a potentially rabid animal; bats are the single largest source of those treatments, accounting for roughly a third to two-thirds of all PEP courses depending on region. Across the US population and compounded over a lifetime, the probability of a bat contact serious enough to warrant PEP is in the vicinity of 1 in 240. The vast majority of those encounters end with a vaccine series and no illness; the handful of annual rabies deaths happen almost exclusively in people who either did not recognize an exposure occurred or did not seek treatment in time.

The popular fear — that bats will swoop down and become tangled in human hair — is essentially a folk myth with no foundation in bat behavior. Echolocating bats can detect an obstacle as narrow as a single strand of hair from several meters away in complete darkness; they actively steer around obstacles while pursuing insects. If a bat appears to be diving at someone’s head, it is almost certainly chasing an insect drawn to body heat or breath. The genuine risk mechanism is almost the inverse of the myth: the real exposure scenario is a bat that lands silently on a sleeping person, delivers a bite too small to leave a visible wound or wake the sleeper, and is gone by morning. CDC guidance is explicit: anyone who wakes to find a bat in their room should assume potential exposure and consult a clinician about PEP, even if no bite is visible. History of a known bite was not elicited in roughly half of human rabies cases attributed to bats.

Risk is not uniformly distributed, and the treatment is far less daunting than its reputation. Wildlife rehabilitators, bat researchers, and cavers face substantially higher exposure rates and are advised to receive pre-exposure vaccination — reducing the post-exposure regimen from five doses to two. Casual outdoor enthusiasts active at dusk in wooded or cave-rich areas face a meaningfully elevated bat encounter rate compared to urban residents. Modern rabies PEP for unvaccinated individuals consists of four vaccine doses (given on days 0, 3, 7, and 14) plus a single dose of rabies immune globulin — administered in the arm, not the stomach — and is highly effective when started promptly. The calculus is straightforward: the cost of unnecessary PEP is discomfort and expense; the cost of a missed exposure is, with near certainty, fatal encephalitis.

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] Centers for Disease Control and Prevention / MMWR — Vital Signs: Trends in Human Rabies Deaths and Exposures — United States, 1938–2018
    Vital Signs: Trends in Human Rabies Deaths and Exposures — United States, 1938–2018
    Statistic
    During 2017-2018, an average of 55,000 persons (range 45,453-66,000) per year received PEP for potential rabies exposure; among 89 domestically acquired human rabies cases 1960-2018, 62 (70%) were attributed to bats.
    Excerpt
    “"During 2017–2018, an average of 55,000 (range = 45,453–66,000) persons were treated for potential rabies exposure each year. During 1960–2018, among 89 infections acquired in the United States, 62 (70%) were attributed to bats." ”
    Source data from
    2019-06-14
    Accessed
    2026-05-02 · archived copy
    Calculation
    CDC MMWR Vital Signs gives the 2017-2018 average of ~55,000 PEP courses per year from all animal exposures. The 70% bat-attribution figure applies to human rabies deaths, not necessarily PEP volume; bats generate a large fraction of PEP administrations because any bat-human contact meeting the exposure definition (including sleeping-room discovery) triggers PEP consideration. Regional data (New York State) suggests ~30% of PEP courses are bat-attributable; some national estimates use ~40%. Using 40% of 60,000 (the rounded CDC figure) = 24,000 bat-related PEP/yr. Annual rate: 24,000 / 335,000,000 ≈ 7.2 per 100,000. Lifetime over 59 years: 1 − (1 − 7.2e-5)^59 ≈ 0.0042.
    Independence
    Primary CDC surveillance compiling ICD-coded death records and state health department PEP reporting, independent of the regional New York study below.
  2. [2] Emerging Infectious Diseases (CDC) — Bat Rabies and Human Postexposure Prophylaxis, New York, USA
    Bat Rabies and Human Postexposure Prophylaxis, New York, USA
    Statistic
    In New York State 1993-2002, 6,320 bat-associated rabies exposure incidents were reported; bats accounted for the single largest share of PEP courses in upstate New York (~30% of annual PEP).
    Excerpt
    “"During 1993–2002, a total of 6,320 bat-associated rabies exposure incidents and 11,365 PEPs were reported… incidents increased 7-fold and use of PEP increased 9-fold [over the study period]." ”
    Source data from
    2011-12-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    New York State data provides a regional lower-bound for the bat fraction of PEP. The 6,320 incidents over 10 years ≈ 632 bat-related PEP incidents/yr in NY, representing roughly 30% of the ~2,000-per-year NY PEP total in that era. This ~30% bat fraction applied nationally to 60,000 annual PEP courses = 18,000 bat-related PEP/yr → annual rate 18,000/335M ≈ 5.4 per 100,000 → lifetime ~0.0032, the lower bound. The central estimate uses 40%; the CDC's "two-thirds of PEP may be bat-related" quote (sometimes cited in public communications) generates the upper bound: 40,000/335M ≈ 11.9 per 100,000 → lifetime ~0.0070.
    Independence
    Regional New York State surveillance database, independent of the national CDC MMWR surveillance — different data collection mechanism, different geographic scope, different time period.
  3. [3] Centers for Disease Control and Prevention — Preventing Rabies from Bats
    Preventing Rabies from Bats
    Statistic
    Bat bites can be tiny and may go unnoticed; CDC recommends PEP consideration when a bat is found in a room where someone was sleeping, including if no bite is visible.
    Excerpt
    “"Bat bites can be tiny, and you may not even know if you were bitten. If you wake up and find a bat in the room, assume you may have been exposed to rabies and see a healthcare provider right away to find out if you need postexposure prophylaxis." ”
    Source data from
    2024-06-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    This source establishes the exposure-definition rationale: CDC defines a potential bat exposure to include scenarios where a bite cannot be excluded (sleeping person, unattended child, intoxicated person), not only confirmed bites. This definitional breadth explains why PEP volume for bat contact substantially exceeds the number of recognized bites.
    Independence
    CDC guidance document synthesizing epidemiological surveillance and case investigation data; overlaps thematically with the MMWR source but is a separate publication derived from the same agency's surveillance program.

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