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Likelier

Perceived fear vs. actual probability

What are the odds of a cat being seriously injured or killed by its collar?

Lifetime probability · activity

~4%

4.0% lifetime chance

Most people overestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Animal · reviewed 2026-04-23
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
Source Peer-reviewed study · Journal of Veterinary Behavior (Arhant, Lesch, Heizmann et al.)
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 8.3 1 in 500

● your factors — click this risk ▾ to reveal

  1. Your factors
A simple cat collar with a breakaway buckle laid flat on a clean surface, flat vector illustration in muted tones.

Perceived

Collar anxiety is one of the quieter but persistent fears in cat ownership. Online forums overflow with stories of cats found hanging from fences, limbs caught under elasticated bands, or deep axillary wounds discovered weeks after a collar shifted. Veterinary organizations universally recommend breakaway collars, reinforcing the impression that non-breakaway collars are ticking time bombs. Many cat owners skip collars entirely rather than accept the risk, even forgoing the identification benefit that would help a lost cat get home.

Rough estimate: ~5-15% chance over a cat's lifetime

Source: editorial intuition, not polled

Actual

~4% of collar-wearing cats experience a collar-related injury over their lifetime; ~0.6% die

collar-wearing pet cats in Central Europe (Arhant et al., 2022, n > 5,000)

Show derivation

Arhant et al. (2022) surveyed over 5,000 cat owners in Central Europe and found that 4% of collar-wearing cats experienced a collar-related injury at some point in their lives, and 0.6% died from a collar incident. This is cumulative lifetime risk, not annual. The annual risk is much lower: Brinkley (2007), as restated in the Paulino & Williams (2023) review, reported 26 chronic axillary (collar-entrapment) wounds out of ~15,000 cat cases over 4 years (~0.17% of presentations), suggesting an annual per-cat incidence on the order of 0.04%. Calver et al. (2013) surveyed 107 Australian veterinarians who collectively reported 686 collar incidents and only 1 death across over 1,500 practice-years. We use the 4% lifetime injury figure from the largest available survey as the primary estimate. The 0.6% death rate is included as context but the headline figure captures all serious outcomes. Only ~20-30% of pet cats in Western countries regularly wear collars, so the population-level risk (across all cats, collared or not) is roughly 4% x 0.25 = ~1%. Breakaway collars were associated with zero injuries in the Calver study, while elasticated collars accounted for 39% of incidents and fixed-buckle collars for 18%.

Caveats: The 4% lifetime injury figure from Arhant et al. (2022) combines all collar type…

The 4% lifetime injury figure from Arhant et al. (2022) combines all collar types. Breakaway collars, which are now universally recommended by veterinary organizations, had zero associated injuries in the only study that stratified by collar type (Calver et al. 2013). The real-world injury rate for cats wearing modern breakaway collars is likely far below 4%. Conversely, the data may undercount collar deaths because cats that die outdoors from collar strangulation may never be found or reported. The Arhant survey was Central European and may not perfectly generalize to US cat-keeping practices. Only 20-30% of pet cats wear collars, so population-level risk is diluted further. Collar technology has improved since the Brinkley (2007) and Calver (2013) studies; current breakaway designs are more reliable than earlier versions.

Related risks

Other risks on similar themes — for exploring related fears.

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Cat litter toxoplasmosis

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Dog chocolate death

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Pet parasites

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Hamster dies before teenager

What are the odds a hamster given to a 9-year-old dies before they turn 13?

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Rabbit dies in 4 years

What are the odds a rabbit given to a 9-year-old dies before they turn 13?

Compare to:

The largest survey on the topic — Arhant et al. (2022), covering over 5,000 cat owners in Central Europe — found that 4% of collar-wearing cats experienced a collar-related injury over their lifetime and 0.6% died from one. Those numbers sound alarming until placed next to the same study’s finding that 70.5% of cats hit by cars died. Collar risk is real but occupies a different order of magnitude from the outdoor hazards that collars (via ID tags) are designed to mitigate.

The collar-type split is where the data gets interesting. A survey of 107 Australian veterinarians (Calver et al., 2013) catalogued 686 collar incidents across 1,500+ combined practice-years and found zero injuries from breakaway collars. Elasticated collars — the stretch-band design many owners assume is “safe” — accounted for 39% of incidents, mostly limb-entrapment injuries where a foreleg slipped through the band during grooming and created a deep, slow-healing axillary wound. Fixed-buckle collars caused 18% of incidents, primarily strangulation on fences and branches.

The practical upshot is that the 4% headline figure is a historical average across all collar types, many of which veterinary organizations now explicitly warn against. A cat wearing a modern breakaway collar faces a risk that the available data cannot distinguish from zero. The residual fear — strong enough that many owners forgo collars entirely — may itself carry a cost: an unidentified lost cat is far less likely to be returned, and ASPCA-funded research found that only 75% of lost cats make it home.

About ~4% of collar-wearing cats suffer a collar-related injury over a lifetime, and 0.6% die from one. Owner intuition tends to land at ~5-15%. Breakaway collars were tied to zero injuries in one study.

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.

2/4 sources independently verified verbatim against the cited source

  1. [1] Journal of Veterinary Behavior (Arhant, Lesch, Heizmann et al.) — Risks associated with free-roaming and collar use in cats
    Risks associated with free-roaming and collar use in cats
    Statistic
    4% of collar-wearing cats experienced a collar-related injury; 0.6% died from a collar incident; collar death risk was considerably lower than traffic accidents (70.5% fatality rate for cats hit by cars)
    Excerpt
    “"Among cats that wore collars, 4% experienced a collar-related injury and 0.6% died from a collar incident. The risk of collar-related death was considerably lower than the risk from traffic accidents or animal-inflicted injuries." ”
    Source data from
    2022-09-01
    Accessed
    2026-04-23 · archived copy
    Calculation
    Arhant et al. surveyed over 5,000 cat owners in Central Europe (Austria, Germany, Switzerland). The 4% injury rate and 0.6% death rate are cumulative lifetime figures for collar-wearing cats. This is the largest survey to date on collar safety outcomes. The study also found that collar-related risks were dwarfed by other outdoor hazards (traffic, predation), providing important context for risk calibration.
  2. [2] Animal Welfare (Calver, Adams, Clark & Pollock) — Assessing the safety of collars used to attach predation deterrent devices and ID tags to pet cats
    Assessing the safety of collars used to attach predation deterrent devices and ID tags to pet cats
    Statistic
    686 collar incidents and 1 death reported by 107 Australian veterinarians across 1,500+ practice-years; zero injuries from breakaway collars; 39% of incidents from elasticated collars
    Excerpt
    “"Across 107 veterinary respondents with a combined 1,500+ practice-years of experience, 686 collar safety incidents were reported with only one fatality. No injuries were associated with snap-release (breakaway) buckle collars. Elastic collars accounted for 39% of incidents and fixed-buckle collars for 18%." ”
    Source data from
    2013-02-01
    Accessed
    2026-04-23 · archived copy
    Calculation
    Calver et al. surveyed 107 vets in Western Australia. Each vet saw roughly one non-fatal collar incident every 2.3 years. The zero-injury finding for breakaway collars is the strongest evidence that collar type is the dominant risk variable. 686 incidents / 1,500 practice-years = ~0.46 incidents per vet per year. Given that a typical small-animal vet sees hundreds of cats annually, the per-cat annual incidence is very low -- consistent with Brinkley's 0.17% of all cases.
  3. [3] Journal of Feline Medicine and Surgery (Paulino & Williams) — Chronic axillary wounds in cats: what do we know and how should we manage them? Verified
    Chronic axillary wounds in cats: what do we know and how should we manage them?
    Statistic
    Feline chronic non-healing axillary (collar-entrapment) wounds are uncommon: 26 cases out of 15,000 cats seen over a 4-year period (~0.17%) in one case series (Brinkley 2007)
    Excerpt
    “"Feline chronic non-healing axillary wounds are uncommon in small animal practice, with 26 cases out of 15,000 cats seen over a 4-year period being reported in one case series." ”
    Source data from
    2023-04-01
    Accessed
    2026-06-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    This 2023 peer-reviewed review (Paulino & Williams, J Feline Med Surg) restates the prevalence figure originally reported by Brinkley (2007, J Small Anim Pract 48:111-115, cited as ref 3): 26 chronic axillary wounds out of ~15,000 cat cases over a 4-year period, i.e. ~0.17% of presentations, or roughly 0.04% per cat per year. Axillary wounds are forelimb-entrapment injuries from neck collars. This figure captures only cases serious enough to present to a vet and does not include minor incidents resolved at home.
  4. [4] Animals (Basel) / PMC (Weiss, Slater & Lord) — Frequency of Lost Dogs and Cats in the United States and the Methods Used to Locate Them Verified
    Frequency of Lost Dogs and Cats in the United States and the Methods Used to Locate Them

    See all 2 Likelier entries citing this source →

    Statistic
    In an ASPCA-conducted national random-digit-dial survey of 1,015 pet-owning households (506 cat owners), 75% (95% CI: 64-85%) of lost cats were recovered, versus 93% of lost dogs; most recovered cats returned home on their own
    Excerpt
    “"75% (95% CI: 64-85%) of cats were recovered." ”
    Source data from
    2012-06-01
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Weiss, Slater & Lord surveyed 1,015 US households by random-digit-dial telephone (Sept-Nov 2010) about pets lost in the prior five years; 506 respondents were cat owners. The 75% cat-recovery rate is markedly lower than the 93% dog-recovery rate, and most recovered cats returned home on their own rather than via active search. Used here to support the entry's closing point that forgoing a collar (and its ID tag) trades a small, largely breakaway-collar-mitigable injury risk for a real cost if the cat is ever lost.
    Independence
    Independent of the veterinary-incident sources (Arhant, Calver, Paulino & Williams) used for the collar-injury statistics; this source addresses only the identification/return-rate argument in the closing paragraph.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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