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Perceived fear vs. actual probability

How likely is a child with influenza to develop sudden brain swelling (influenza-associated encephalopathy or acute necrotizing encephalopathy)?

Lifetime probability · subgroup

~1 in 100,000

per child per flu episode

0.001% lifetime chance

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

Health · reviewed 2026-06-13

How likely is a child with influenza to develop sudden brain swelling (influenza-associated encephalopathy or acute necrotizing encephalopathy)?

Evidence quality 4.13/5

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
3/5
D4 Uncertainty
4/5
D5 Scope
3/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.13/5
Source Government statistic · CDC Morbidity and Mortality Weekly Report (MMWR)
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 2,000 1 in 100,000

● your factors — click this risk ▾ to reveal

  1. Your factors
An abstract editorial symbol evoking "Flu brain swelling in a child (IAE/ANE)", muted two-tone palette, flat vector.

Perceived

No survey measures how parents rate the odds that a child's flu turns into brain swelling. The condition entered wider awareness only after a cluster of pediatric deaths in January 2025 drew news coverage; before that most parents had never heard of influenza-associated encephalopathy. The intuitive read, when prompted, tends to split: either dismissed as something that does not happen to ordinary healthy children, or, after a news cycle about deaths in previously healthy kids, overweighted as a looming threat of any winter fever. Both readings sit far from a roughly 1-in-100,000-per-flu-episode base rate.

Rough estimate: Either near-zero (never heard of it) or, post-headline, inflated to the range of common flu complications

Source: editorial intuition, not polled

Actual

109 reported cases among an estimated ~11 million children with flu (~1 in 100,000)

US children aged <18 with influenza, 2024-25 season

Show derivation

Subgroup: a US child (<18) who contracts influenza; horizon: a single influenza episode, not an adult lifetime. Numerator: 109 IAE/ANE cases reported to CDC during the 2024-25 season (MMWR mm7436a1). Denominator: pediatric symptomatic flu illnesses. CDC estimated ~51 million symptomatic influenza illnesses across all ages for 2024-25 (range 43-73M). CDC did not publish a 2024-25 pediatric illness count; children aged <18 are ~22% of the US population but carry roughly twice the adult attack rate, so a conservative pediatric-illness floor of ~22% of 51M gives ~11.2M, while children's higher attack rate would push the true denominator higher (lowering the rate). Point: 109 / 11,000,000 = 9.9e-6 ~ 1e-5. The numerator is a passive, special-request count, not systematic surveillance, so it undercounts true cases (pushing the rate up); the denominator could be 1.5-2x larger (pushing it down). Net band 1 in 30,000 (3.3e-5) to 1 in 300,000 (3.3e-6) brackets the point estimate.

Caveats: The headline rate is a derived, order-of-magnitude figure, not a measured one. C…

The headline rate is a derived, order-of-magnitude figure, not a measured one. CIDRAP and CDC both note there is no national surveillance system for influenza-associated neurologic complications: the 109 cases were collected by a special January 2025 clinician request, so the numerator undercounts true cases. CDC also did not publish a 2024-25 pediatric flu illness count, so the ~11 million denominator is reconstructed from the all-ages estimate (43-73M) under a children's-share assumption. Both moves carry real error, which is why the uncertainty band spans an order of magnitude (~1 in 30,000 to ~1 in 300,000). The figure is per flu episode in a child who actually contracts influenza, not a US-adult lifetime probability, and not a probability for a child who never catches flu. 2024-25 was an unusually severe, high-flu-activity season with a record pediatric death toll and an elevated encephalopathy share (13% of pediatric flu deaths through early February 2025 versus a 9% historical average), so this season may sit at the high end of the long-run rate. The 16% vaccination figure among IAE cases is suggestive of a protective association but is confounded (vaccinated and unvaccinated children differ systematically) and CDC did not compute an adjusted vaccine effectiveness against IAE, so it is not encoded as a multiplier. 8D self-score average ~4.0, all dimensions >= 3; the main soft spot is D3/D5 (the denominator is derived, not directly published), mitigated by the explicit arithmetic and wide band.

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Compare to:

In the 2024-25 influenza season, US clinicians reported 109 children with influenza-associated encephalopathy (IAE), the largest such series CDC has assembled. Thirty-seven of those cases were the most severe subtype, acute necrotizing encephalopathy (ANE), in which the brain swells and specific deep structures break down within days of a fever. Nineteen percent of all IAE children died; among the ANE subset, 41% died. Set against the season’s flu burden, the per-episode rate is small. CDC estimated on the order of 51 million symptomatic flu illnesses across all ages; attributing a conservative one-fifth to children gives roughly 11 million pediatric infections, so 109 reported cases works out to about 1 in 100,000 children with flu. That places it near the odds of being struck by lightning over a lifetime, and below the odds of dying in a plane crash, though with an order-of-magnitude uncertainty band because the count is incomplete and the denominator is reconstructed.

What makes this entry hard to pin down is the absence of any standing surveillance for flu-related brain injury. CDC counted these cases only because a cluster of deaths in previously healthy children prompted a one-off request to clinicians in January 2025. The true number is therefore higher than 109, and the rate higher than 1 in 100,000, by an unknown margin. The condition also defies the usual mental model of who gets seriously hurt by flu: the median age was 5, and 55% of affected children had no underlying medical condition. The damage is not the virus eating brain tissue but an abrupt immune and metabolic overreaction, which is why it can strike a child who was healthy the day before.

Where the average number stops applying is genetics. A pathogenic variant in the RANBP2 gene turns sporadic ANE into a recurrent, inherited condition: GeneReviews reports that 40% of carriers will have an episode and half of those affected will have at least one more. Thirty-four percent of genetically tested children in a 2025 multicenter US ANE series carried such a variant, almost none of them knowing it beforehand. For a carrier, or for a child who has already survived one episode, the per-flu-episode odds are not 1 in 100,000 but closer to a coin-flip across exposures. Age matters too, with risk concentrated in the 1-to-5 range. For the large majority of children without a genetic predisposition, the figure stays in the rare column, with the caveat that “rare” here is measured against tens of millions of annual infections.

A child's odds of flu-associated encephalopathy run about ~1 in 100,000 per child per flu episode. The CDC logged 109 reported cases against an estimated ~11 million children with flu in the 2024-25 season.

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] CDC Morbidity and Mortality Weekly Report (MMWR) — Pediatric Influenza-Associated Encephalopathy and Acute Necrotizing Encephalopathy - United States, 2024-25 Influenza Season
    Pediatric Influenza-Associated Encephalopathy and Acute Necrotizing Encephalopathy - United States, 2024-25 Influenza Season
    Statistic
    109 pediatric IAE cases (37, or 34%, subcategorized as ANE); 19% of IAE patients died, 41% of ANE patients died; median age 5; 55% previously healthy; 74% ICU; only 16% of vaccine-eligible patients had received the 2024-25 flu vaccine
    Excerpt
    “Among 192 reports of suspected IAE submitted to CDC, 109 (57%) were categorized as IAE, 37 (34%) of which were subcategorized as ANE, and 72 (66%) as other IAE. The median age of children with IAE was 5 years and 55% were previously healthy, 74% were admitted to an intensive care unit, and 19% died; 41% of children with ANE died. Only 16% of children with IAE who were vaccination-eligible had received the 2024-25 influenza vaccine.”
    Source data from
    2025-09-25
    Accessed
    2026-06-13
    Calculation
    Provides the numerator (109 reported IAE/ANE cases in 2024-25) and the case-fatality figures. The report explicitly does not compute a per-flu-case rate; that derivation is done in normalized.assumptions using a separate CDC illness-burden denominator.
    Independence
    Primary CDC case series; the denominator burden estimate comes from a separate CDC product, so numerator and denominator are independently sourced.
  2. [2] JAMA (via PubMed Central) — Influenza-Associated Acute Necrotizing Encephalopathy in US Children
    Influenza-Associated Acute Necrotizing Encephalopathy in US Children
    Statistic
    41 ANE cases from 23 US hospitals (2023-2025); 27% died (median 3 days from onset, 91% from cerebral herniation); 76% had no significant medical history; of 32 genetically tested, 47% had risk alleles, 34% with RANBP2 variants
    Excerpt
    “Of 58 submitted cases, 41 cases (23 females; median age, 5 years [IQR, 2-8]) from 23 US hospitals met inclusion criteria. Eleven patients (27%) died a median of 3 days (IQR, 2-4) from symptom onset, primarily from cerebral herniation (91%). Thirty-one cases (76%) had no significant medical history... Among 32 patients (78%) with genetic testing, 15 (47%) had genetic risk alleles potentially related to risk of ANE including 11 (34%) with RANBP2 variants.”
    Source data from
    2025-07-30
    Accessed
    2026-06-13
    Calculation
    Independent multicenter clinical series corroborating ANE fatality (27%) and the RANBP2 genetic-risk signal that underpins the personal-factor multiplier. Not used for the rate denominator.
    Independence
    Separate investigator group and case ascertainment (hospital submissions) from the CDC MMWR surveillance count.
  3. [3] GeneReviews, NCBI Bookshelf (University of Washington) — Susceptibility to Infection-Induced Acute Encephalopathy 3 (RANBP2 / ANE1) - GeneReviews
    Susceptibility to Infection-Induced Acute Encephalopathy 3 (RANBP2 / ANE1) - GeneReviews
    Statistic
    40% of RANBP2-variant heterozygotes manifest an ANE episode; 50% of affected individuals have at least one recurrence; one third die in the acute phase
    Excerpt
    “Forty percent of heterozygotes for a RANBP2 pathogenic variant will manifest an episode of acute necrotizing encephalopathy (ANE)... Fifty per cent of persons with IIAE3 will have at least one repeat episode and some will have multiple repeat episodes... One third of affected individuals die during the acute phase of the encephalopathy.”
    Source data from
    2020-04-23
    Accessed
    2026-06-13
    Calculation
    Source for the RANBP2 penetrance (40%) and recurrence (50%) figures behind the two large personal-factor multipliers. Compared against the ~1e-5 sporadic per-episode base rate to justify the order-of-magnitude multiplier framing.
    Independence
    Genetics reference independent of the 2024-25 surveillance and the JAMA series.
  4. [4] CDC — Influenza Activity in the United States during the 2024-25 Season and Composition of the 2025-26 Influenza Vaccine
    Influenza Activity in the United States during the 2024-25 Season and Composition of the 2025-26 Influenza Vaccine
    Statistic
    Estimated 43-73 million symptomatic influenza illnesses (all ages) in 2024-25; 279 laboratory-confirmed pediatric deaths, the highest reported during a seasonal epidemic
    Excerpt
    “influenza virus infection likely resulted in between 43 million-73 million symptomatic illnesses, 19 million-32 million medical visits, 560,000-1,100,000 million hospitalizations, and 38,000-99,000 deaths... a total of 279 laboratory-confirmed influenza-associated pediatric deaths were reported to CDC (Figure 15); this is the highest number of deaths reported during a seasonal influenza epidemic.”
    Source data from
    2025-09-25
    Accessed
    2026-06-13
    Calculation
    Supplies the all-ages symptomatic illness burden (mid-point ~51M, range 43-73M) used to derive the pediatric flu denominator (~11M) in normalized.assumptions. CDC did not publish an age-stratified pediatric illness count, hence the conservative ~22%-of-total floor and wide uncertainty band.
    Independence
    CDC burden model, methodologically separate from the IAE case-counting effort.

443 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 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 Job loss & depression — 1 in 3.7 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 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 Child head lice — 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 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 Career obsolescence — 1 in 2.9 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 1.8 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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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