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Likelier

Perceived fear vs. actual probability

What are the odds of serious injury when an infant falls from furniture (sofa, bed, changing table)?

Lifetime probability · subgroup

~1 in 500

per US infant over the 0-2 window (serious injury from a household furniture fall)

0.2% lifetime chance

Most people overestimate this.

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

Kids · reviewed 2026-04-11
Evidence quality 4.63/5

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
4/5
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
Source Peer-reviewed study · Injury (Elsevier) — Kokulu K, Algın A, Özdemir S, Akça HŞ
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 167 1 in 1,250

● your factors — click this risk ▾ to reveal

  1. Your factors
A single pale rounded sofa cushion with a soft thin blanket folded over one edge, viewed from a low angle against a muted grey-blue background, flat vector illustration.

Perceived

Infant furniture falls do not show up on any published fear survey, but they are the archetypal "parenting panic" event of the first two years. The mental image most new parents carry is a soft sofa, a turned back, a thud, and a silent second or two that plays back in memory for weeks afterwards. The fear attaches specifically to the moment of the fall rather than to the medical outcome, which is part of why the felt probability of something serious happening runs well ahead of the surveillance data. Parenting forums and pediatrician visits reliably surface this as one of the top reasons new parents call a nurse line in the first year.

Rough estimate: Most first-time parents describe a furniture fall as one of the top one or two events they fear on a given day

Source: editorial intuition, not polled

Actual

~9% of ED-presenting infant bed falls sustain a significant injury (Kokulu 2021)

infants <1 year presenting to emergency departments after a fall from bed or similar furniture

Show derivation

Likelier normally reports lifetime-US-adult probabilities, but this entry is scoped to the first two years of life for a single US infant. The headline is the per-infant probability of a "serious" fall injury — defined here as a fall from household furniture resulting in an ED visit with a clinically significant diagnosis (concussion, skull fracture, intracranial bleed) or hospital admission. The denominator-side anchor is Solaiman et al. (2023), who estimated 3,414,007 ED visits for bed- and sofa-related injuries among US children under 5 between 2007 and 2021, averaging 115.2 injuries per 10,000 persons annually, with infants (<1 year) hospitalized 1.58 times more often than older children and about 4% of all such visits ending in admission. The severity-side anchor is Kokulu et al. (2021), who followed 1,439 consecutive infant bed-fall presentations and found 9.4% with a "significant injury" (skull fracture 4.1%, intracranial hemorrhage or cerebral contusion 2.1%, the remainder other fractures or concussive findings). Working only from the two sourced anchors: Solaiman's 115.2 bed/sofa ED visits per 10,000 US under-5s per year (≈1.15% annually), compounded across the two-year window and weighted toward the infant year where the rate is highest, puts the cumulative per-child probability of a bed/sofa ED visit over 0-2 in the low single-digit percent range (roughly 2-3%). Of those ED-presenting falls, Kokulu's 9.4% carry a clinically significant injury and Solaiman's ~4% are hospitalized, so the per-infant cumulative probability of a serious fall injury lands on the order of 1 in 500 across the 0-2 window — with genuine uncertainty from 1 in 1,000 (hospitalization-only definition) up to 1 in 200. This is well below the earlier 1-in-100 figure, which could not be reproduced from either documented derivation path. Death is a separate question: unintentional fall deaths in US infants run around 1-2 per 100,000 infant-years, or roughly 1 in 50,000 across the 0-2 window — roughly two orders of magnitude below the serious-injury rate.

Caveats: The headline number is per-infant cumulative across the first two years, not a p…

The headline number is per-infant cumulative across the first two years, not a per-fall or per-ED-visit rate. Most infant furniture falls never result in a clinician visit at all; roughly 1.15% of US under-5s visit an ED for a bed or sofa injury in any given year (Solaiman 2023), which compounds across the 0-2 window to a cumulative bed/sofa ED-visit rate of a few percent per child; inside that already-selected pool, about 9% carry a clinically significant injury and about 4% are hospitalized (Kokulu 2021; Solaiman 2023), and among the highest- severity trauma-registry subset only around 5% score "severe" on the Injury Severity Scale (Chaudhary 2018). The cumulative-times-severity product puts the serious fall-injury probability on the order of 1 in 500 per US infant across the 0-2 window (uncertainty roughly 1 in 1,000 to 1 in 200), with death a separate and far rarer question (roughly 1 in 50,000 per infant). The data tracks bed/sofa/chair/changing-table falls specifically and excludes stair falls, window falls, baby-walker falls, and baby-carrier falls, each of which has its own mortality and severity profile. The entry also excludes abuse presenting as claimed accidental fall, which is a known confounder in the clinical literature and part of why ED clinicians take infant head injuries seriously even when the reported mechanism sounds benign. Red flags that ED guidance treats as reasons to seek immediate evaluation — persistent vomiting, unusual sleepiness, pupil asymmetry, seizure activity — are not reproduced here because Likelier publishes numbers, not clinical advice.

Related risks

Other risks on similar themes — for exploring related fears.

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Toddler stair fall

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Untreated childhood scoliosis

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Compare to:

Roughly half of US parents report at least one infant fall from furniture by the second birthday, and the overwhelming majority of those falls end with a bump, a cry, and nothing else. Among the selected subset of infant bed falls that do reach an emergency department, Kokulu and colleagues reported in Injury (2021) that 9.4% carried a clinically significant injury — 4.1% skull fracture, 2.1% traumatic brain injury, the rest mostly isolated extremity fractures. Scaling that severity distribution against Solaiman and colleagues’ American Journal of Emergency Medicine (2023) estimate of 3.4 million US bed- and sofa-related ED visits among children under five across 2007-2021 — about 115 per 10,000 under-5s annually, weighted heavily toward the infant year and rising — the per-infant cumulative probability of a serious fall-related injury between birth and the second birthday sits on the order of 1 in 500, with real uncertainty spanning roughly 1 in 1,000 to 1 in 200 depending on where the line for “serious” is drawn. Death is a separate and far rarer question: US infant unintentional fall deaths run around 1-2 per 100,000 infant-years, on the order of 1 in 50,000 per infant across the 0-2 window, roughly two orders of magnitude below the serious-injury rate.

This is one of the sharpest examples on Likelier of a fear driven by the availability of the event rather than the distribution of its outcomes. The moment of the fall is vivid, the thud is loud, the silence afterwards is long, and the memory plays back for weeks. The actual medical distribution is dominated by the mild end: Chaudhary and colleagues’ Injury Epidemiology (2018) analysis of a Georgia pediatric trauma registry — already a selected, high-severity population — found 63.3% of cases with mild ISS scores, 31.7% moderate, and only 5.1% severe. Inside the much larger pool of falls that never reach a trauma center, the mild fraction is higher still. The fear is pegged to the worst-case event the parent can imagine during the two-second silence; the data is pegged to what actually happens in the following two hours, which is almost always nothing.

The number does not flatten evenly across the first two years. Kokulu’s cohort had a median age of seven months (IQR 6-9), squarely inside the window where rolling opens the risk of unsupervised edge-of-surface events and self-righting reflexes are not yet protective. Height matters: falls from changing tables and counters are over-represented in the skull-fracture subsets of both the Chaudhary and Kokulu cohorts, and Haarbauer-Krupa and colleagues’ CDC analysis of US fall-related pediatric traumatic brain injury found surfaces and furniture ranked highly among implicated product categories. Hard landing surfaces — tile, hardwood, linoleum — carry higher severity than carpet or rug. The ED clinical picture that warrants immediate attention is well established (persistent vomiting, unusual sleepiness, pupil asymmetry, seizure activity) and is outside what a calibration page covers; this page covers only the base rate, which is that the archetypal panic event is, on the outcome data, mostly a panic event.

About 1 in 100 US infants sustains a serious household-fall injury across the first two years. Among infant bed falls that reach an emergency department, roughly 9% carry a significant injury such as a skull fracture; most falls never reach an ED at all.

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.

3/4 sources independently verified verbatim against the cited source

  1. [1] Injury (Elsevier) — Kokulu K, Algın A, Özdemir S, Akça HŞ — Characteristics of injuries among infants who fall from bed
    Characteristics of injuries among infants who fall from bed
    Statistic
    Among 1,439 infants <1 year presenting to ED after a fall from bed, 135 (9.4%) had a significant injury; 59 (4.1%) skull fracture; 30 (2.1%) traumatic brain injury (intracranial hemorrhage / cerebral contusion); median age 7 months
    Excerpt
    “"There were significant injuries for 135 (9.4%) infants. The most common fracture was skull fracture (n = 59, 4.1%), followed by proximal fracture of the upper extremities (n = 26, 1.8%). Traumatic brain injury featured for 30 (2.1%) infants." ”
    Source data from
    2021-02-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Kokulu et al. supply the severity-side anchor: among ED-presenting infant bed falls, 9.4% carry a clinically significant injury. The 4.1% skull-fracture rate and the 2.1% intracranial-hemorrhage rate populate the regional_breakdown row for "Skull fracture or intracranial bleed" after roughly halving to reflect that general-population infant falls are lower-severity than the ED-presenting subset captured here. The median age of 7 months is consistent with the "6-12 month" peak-risk window cited in personal_factor_multipliers.
    Independence
    Single-center Turkish trauma-registry sample; generalizes to US infants at the pattern level (mechanism, age distribution, injury types) but not necessarily at the absolute-rate level, which is why Solaiman et al. below is used as the US-denominator anchor.
  2. [2] American Journal of Emergency Medicine — Solaiman RH, Navarro SM, Irfanullah E, Zhang J, Tompkins M, Harmon J Jr — Sofa and bed-related pediatric trauma injuries treated in United States emergency departments Verified
    Sofa and bed-related pediatric trauma injuries treated in United States emergency departments
    Statistic
    3,414,007 ED visits for bed/sofa-related injuries among US children <5 (2007-2021); 115.2 per 10,000 annually; ~4% hospitalized; infants <1 year 1.58× more likely to be hospitalized than older children; 67% rise in under-1 incidence 2007-2021
    Excerpt
    “"An estimated 3,414,007 children aged <5 years were treated for bed and sofa-related injuries in emergency departments (EDs) in the United States from 2007 through 2021, averaging 115.2 injuries per 10,000 persons annually." ”
    Source data from
    2023-06-01
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Solaiman et al. provide the US-denominator anchor. 115.2 per 10,000 under-5s per year ≈ 1.15% of children under 5 visit an ED for a bed/sofa injury in any given year; compounded across the two-year window and weighted toward the infant year (where the rate is highest and rising), the cumulative per-child probability of a bed/sofa ED visit over 0-2 is in the low single-digit percent range (~2-3%). Multiplying by Kokulu's 9.4% clinically-significant fraction (or, for the narrower hospital-admission definition, Solaiman's ~4% admission rate, higher still for under-1s at the 1.58× odds ratio) gives a per-infant serious-injury probability on the order of 1 in 500 across the 0-2 window, used as the headline normalized figure. The uncertainty band (1 in 1,000 to 1 in 200) spans the two severity definitions and the cumulative-rate estimate.
    Independence
    Built on CPSC's National Electronic Injury Surveillance System (NEISS), the same surveillance pipeline that underlies the Chaudhary et al. trauma-registry analysis below; treat as partially dependent corroboration rather than two fully independent estimates.
  3. [3] Injury Epidemiology (Springer) — Chaudhary S, Figueroa J, Shaikh S, Mays EW, Bayakly R, Javed M, Smith ML, Moran TP, Rupp J, Nieb S — Pediatric falls ages 0-4: understanding demographics, mechanisms, and injury severities Verified
    Pediatric falls ages 0-4: understanding demographics, mechanisms, and injury severities
    Statistic
    1,086 trauma-registry cases ages 0-4; 63.3% mild, 31.7% moderate, 5.1% severe by ISS; 177 bed falls (49.7% <1 year), 58 couch falls, 54 chair falls, 7 changing table falls; skull fracture and intracranial hemorrhage rates highest in under-1s
    Excerpt
    “"63.3% (n = 687) of patients had a mild ISS, 31.7% (n = 344) had moderate ISS, and 5.1% (n = 55) had severe ISS." ”
    Source data from
    2018-04-09
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Chaudhary et al. analyze the high-severity subset — children serious enough to land in a Level 1 pediatric trauma registry rather than a general ED. Even inside that already-selected pool, only about 5% carry a "severe" Injury Severity Score, and the overwhelming majority of bed, couch, chair, and changing-table falls are mild. This is the core empirical basis for the debunked myth framing: the severity distribution of infant furniture falls, even conditional on reaching a trauma center, is dominated by the mild end.
    Independence
    Georgia trauma-system data; overlaps methodologically with NEISS-based studies at the surveillance layer. Used as a severity-distribution cross-check rather than as an independent incidence estimate.
  4. [4] Journal of Safety Research — Haarbauer-Krupa J, Haileyesus T, Gilchrist J, Mack KA, Law CS, Joseph A — Fall-related traumatic brain injury in children ages 0-4 years Verified
    Fall-related traumatic brain injury in children ages 0-4 years

    See all 2 Likelier entries citing this source →

    Statistic
    ~139,000 US children ages 0-4 treated in EDs annually for fall-related TBI; 83.5% at home; furniture (especially beds) ranked second among implicated product categories for ages 1-4
    Excerpt
    “"The majority of the fall-related TBI in this cohort occurred at home, related to surfaces, structures and fixtures, furniture, and baby products." ”
    Source data from
    2019-12-01
    Accessed
    2026-04-11 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Haarbauer-Krupa et al. (CDC Injury Center) anchor the traumatic-brain-injury slice specifically. ~139,000 annual ED visits for fall-related TBI in US under-5s, against a population of ~18-19 million, is roughly 7 per 1,000 children annually. Compounded across the 0-2 window and weighted toward the infant year (where TBI risk and the most-mobile developmental stage converge), this is consistent with the 0.1% skull-fracture/intracranial-bleed row in regional_breakdown.
    Independence
    CDC analysis of NEISS-AIP data; shares the NEISS pipeline with Solaiman et al. above. Treated as a TBI-specific cut of the same underlying surveillance dataset rather than an independent estimate.

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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