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Perceived fear vs. actual probability

What are the odds of being killed by a wildfire?

Lifetime probability · global

1 in ~100,000

0.001% lifetime chance

Most people underestimate this.

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

Natural · reviewed 2026-06-14

What are the odds of being killed by a wildfire?

Evidence quality 4.88/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence
Source Government statistic · National Interagency Fire Center (NIFC)
lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 5,000 1 in 333,333

● your factors — click this risk ▾ to reveal

  1. Your factors
A single stylized ember shape rising against a muted dusty sky, rendered as a flat geometric spark, vector illustration.

Perceived

Fear of wildfire is strongly geographic and strongly episodic. No widely cited national survey isolates "fear of being killed by a wildfire" from general natural-disaster or climate anxiety, so we mark the perceived side as editorial intuition. Anecdotally, the prior is shaped almost entirely by the last headline event the reader lived near or watched — Paradise, California in 2018; the Australian Black Summer of 2019-2020; Lahaina on Maui in 2023; the Los Angeles county fires of January 2025 — and reverts to roughly zero in the years between. Residents of the Western US Wildland-Urban Interface and of fire-prone parts of Mediterranean Europe and Australia carry a persistent prior; almost everyone else treats wildfire as televised rather than real, and almost nobody of any geography has an explicit prior for the much larger smoke-mortality burden downwind.

Rough estimate: 33.1% of US adults report being afraid or very afraid of a devastating wildfire (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~1 in 100,000 global adult lifetime (direct wildfire death)

global

Show derivation

The headline is DIRECT wildfire deaths — people killed by the fire itself (burns, entrapment during evacuation, structure collapse, heat). A separate and much larger number, wildfire-smoke mortality, is called out prominently in the body and regional_breakdown below. In normal US years civilian direct wildfire deaths are in the 5-20 range, spiking hard in megafire years: Camp Fire 2018 killed 85 people in Paradise, California; the 2023 Lahaina fire on Maui killed ~100; the January 2025 Eaton and Palisades fires killed 18 and 12 respectively. Australia's 2019-2020 Black Summer killed ~33 people directly plus several hundred more from smoke exposure. Globally, including Mediterranean Europe, Indonesia peat fires, and boreal Russia/Canada, a rough long-run direct-death anchor is a few hundred to ~1,000 per year. Using ~800/yr globally and a population of ~8 billion gives ~1e-7 per year; compounded over 60 adult years ≈ 6e-6, rounded upward to 1e-5 ≈ 1 in 100,000 to reflect the rising trend in WUI exposure in the US West and boreal forests since ~2000. This is a small number, and it is the wrong number for anyone who wants to know their actual lifetime wildfire risk — see regional_breakdown and the smoke paragraph in the body.

Caveats: The headline "1 in 100,000" number only covers direct wildfire deaths — the vivi…

The headline "1 in 100,000" number only covers direct wildfire deaths — the vivid, cinematic version of the fear. It is the wrong number in two directions. It is too high for almost everyone who does not live in a Wildland-Urban Interface community on a fire-prone coast, mountainside, or boreal forest edge: a resident of downtown Chicago or central London has essentially zero direct wildfire mortality risk. And it is dramatically too low as a description of total wildfire-attributable mortality, because it excludes smoke exposure. Johnston et al. 2012 estimated ~339,000 global deaths per year from landscape fire smoke, and subsequent work on the 2015 Indonesia peat fire haze (Koplitz et al.) and on recent Western US seasons suggests the number has grown since. Smoke mortality is roughly 100x the direct-fire mortality and is concentrated in populations — urban, downwind, cardiopulmonary-compromised — that do not typically see themselves as at wildfire risk at all. The gap between how the fear is framed (a wall of flame in your neighborhood) and where the deaths actually happen (a cardiac event on day five of a PM2.5 spike 400 km downwind) is the central feature of this entry. Modern US-specific work sharpens the gap: Ma et al. 2024 (PNAS, Yale) attribute ~11,415 non-accidental US deaths per year (95% CI 6,754-16,075) to long-term wildland-fire smoke PM2.5 over 2007-2020, of which ~4,512 are cardiovascular, with the excess concentrated in adults aged 65+. Qiu et al. 2025 (Nature) project that figure could exceed 71,000 deaths per year by 2050 under a high-warming scenario — a ~73% rise over the 2011-2020 baseline. The January 2025 Los Angeles county fires are the same story in miniature: against roughly 31 direct deaths (18 Eaton + 12 Palisades + 1), the projected indirect smoke-attributable toll runs into the thousands.

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Compare to:

Two numbers live inside this fear, and they are almost two orders of magnitude apart. The first is direct wildfire death — the version readers picture, where the fire itself catches up with someone during evacuation or traps them in a structure. In the US this runs in the single-to-low-double digits most years, spiking hard in megafire years: the 2018 Camp Fire killed 85 people in Paradise, California; the 2023 Lahaina fire on Maui killed roughly 100; the January 2025 Eaton and Palisades fires killed 18 and 12. Globally, including Mediterranean Europe, Australia’s Black Summer, Indonesia’s peat-fire events, and the boreal Russian and Canadian fire seasons, a long-run direct-death anchor is somewhere between a few hundred and ~1,000 per year. Compounded over a 60-year adult life, that comes to roughly 1 in 100,000 global lifetime — a small number, comparable to lifetime lightning risk and roughly an order of magnitude below the global tropical-cyclone figure.

The second number is much larger, and almost nobody carries an intuition for it. Johnston et al., in a 2012 Environmental Health Perspectives paper that is still the canonical reference, estimated that landscape fire smoke exposure causes about 339,000 deaths per year globally, with an interquartile range of 260,000-600,000. That is a per-year figure roughly 400x the direct-fire toll, and compounded over a global adult lifetime it works out to something on the order of 1 in 400 — comparable, in scale, to the lifetime odds of being killed by a fall or by a specific common cancer. The deaths are not deaths from fire. They are deaths from fine particulate exposure — ischemic heart events, stroke, exacerbated COPD, lower respiratory infection — concentrated in older adults and people with existing cardiopulmonary disease, often hundreds of kilometers downwind of the actual flame front. Koplitz et al. estimated ~100,000 excess deaths from the 2015 Indonesia peat-fire haze alone across Indonesia, Malaysia, and Singapore, and the 2023 Canadian boreal season put air-quality warnings on New York and Paris simultaneously. The headlines are all about the flames; the mortality is almost all in the smoke.

The geographic story on the direct-fire side is familiar and tight. Wildfire deaths cluster in the Wildland-Urban Interface on fire-prone coasts, mountainsides, and forest edges — coastal and foothill California, Oregon, Colorado, Portugal, Greece, parts of Australia, and the boreal belt. The US Interior and the Mediterranean both have long historical records, but on a per-year basis the trend is unambiguously upward: NIFC’s activity data shows 2020 and 2024 as the two largest US burn years ever recorded, and the post-2000 Western US fire season has lengthened by weeks. The smoke story is the direct-fire story unwound: instead of concentrating risk on a few thousand WUI residents, it disperses a smaller per-person increment over tens of millions of urban and suburban people, most of whom do not register as wildfire-exposed at all. For almost every reader of this entry the headline number is wrong in one direction or the other, and the smoke number — the hidden, slower, larger one — is the one to carry forward.

The lifetime odds of being killed directly by a wildfire are about 1 in 100,000. Wildfire smoke is a different story: Johnston et al. estimate roughly 339,000 deaths a year worldwide from landscape-fire particulates, mostly far downwind of any flames.

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] National Interagency Fire Center (NIFC) — Wildfires — Statistics
    Wildfires — Statistics
    Statistic
    US wildfire totals by year: 2020 = 58,950 fires / 10,122,336 acres (highest on record); 2024 = 64,897 fires / 8,924,884 acres; 2023 = 56,580 fires / 2,693,910 acres; 2025 = 77,850 fires / 5,131,474 acres
    Excerpt
    “"2025: 77,850 fires; 5,131,474 acres burned. 2024: 64,897 fires; 8,924,884 acres burned. 2023: 56,580 fires; 2,693,910 acres burned. ... Prior to 1983, the federal wildland fire agencies did not track official wildfire data using current reporting processes." ”
    Source data from
    2026-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    NIFC publishes annual US fire counts and acreage but not civilian fatality tolls — those are compiled downstream by the Insurance Information Institute and by NFPA from NWCG / state fire marshal reports. We use NIFC as the authoritative anchor for fire activity and as the upstream source for the "fire activity is rising" framing in the body (2020 and 2024 are the two largest US acreage years ever recorded). Fatality anchoring comes from the Insurance Information Institute tabulation cited below, which in turn draws on NIFC, NWCG, and state-level fire-marshal records.
    Independence
    NIFC is the upstream source for most US wildfire activity data; the III table cited below republishes it with added fatality commentary. Treat as a single authoritative chain for activity data, but independent on fatality attribution because III pulls event death tolls from state fire marshals rather than NIFC.
  2. [2] Johnston FH et al., Environmental Health Perspectives (NIH/NIEHS), 2012 — Estimated global mortality attributable to smoke from landscape fires
    Estimated global mortality attributable to smoke from landscape fires
    Statistic
    Estimated average global mortality attributable to landscape fire smoke (1997-2006): 339,000 deaths per year (interquartile range 260,000-600,000); highest regional burdens in sub-Saharan Africa (157,000) and Southeast Asia (110,000)
    Excerpt
    “"Our principal estimate for the average mortality attributable to LFS exposure was 339,000 deaths annually. In sensitivity analyses the interquartile range of all tested estimates was 260,000-600,000." ”
    Source data from
    2012-05-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Johnston's 339,000 deaths/year is the canonical peer-reviewed estimate for global wildfire-smoke mortality. 339,000 / 8,000,000,000 ≈ 4.24e-5 per year; compounded over 60 adult years ≈ 2.54e-3 ≈ 1 in ~390, which appears in regional_breakdown as "Wildfire smoke-attributable death (global)" at 0.0025. The headline normalized figure is INTENTIONALLY the much smaller direct-fire number because that is the hazard readers actually fear; the smoke number is ~100x larger, represents a different cognitive frame (chronic PM2.5 exposure vs burning-to-death), and is the central finding of the body text. Both numbers are real; the site's editorial choice is to lead with the one readers ask about and then immediately show the one they don't.
    Independence
    Johnston 2012 is a primary peer-reviewed estimate from the NIEHS/EHP literature. Fully independent of NIFC, which does not publish smoke-mortality figures at all.
  3. [3] Insurance Information Institute (data sourced from NIFC / NFPA / state fire marshals) — Facts + Statistics: Wildfires
    Facts + Statistics: Wildfires
    Statistic
    Camp Fire (November 2018): 85 deaths, deadliest California wildfire on record; 2024 US wildfire activity: 64,897 fires / 8,924,884 acres; Eaton Fire (January 2025): 18 deaths; Palisades Fire (January 2025): 12 deaths
    Excerpt
    “"The Camp Fire (November 2018) resulted in 85 deaths, making it the deadliest California wildfire on record. ... The Eaton Fire (January 2025) resulted in 18 deaths, and the Palisades Fire (January 2025) caused 12 deaths." ”
    Source data from
    2025-12-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used as the event-level anchor for direct-death tolls in the body and in regional_breakdown. The III table is the cleanest single tabulation of modern US megafire death tolls we can cite without paywalls; individual event numbers are corroborated by Cal Fire, the Maui County medical examiner, and contemporary NFPA investigations.
    Independence
    III republishes NIFC data for activity counts. Event-level death tolls (Camp, Lahaina, Eaton, Palisades) come from state fire marshals and county coroners, so on fatality attribution the two sources are methodologically distinct.
  4. [4] Ma Y et al. (Yale School of Public Health), Proceedings of the National Academy of Sciences (PNAS), 2024 — Long-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States
    Long-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States
    Statistic
    Long-term exposure to wildland fire smoke PM2.5 contributed to ~11,415 non-accidental deaths/year (95% CI 6,754-16,075) in the contiguous US, 2007-2020, of which ~4,512/year (95% CI 1,922-7,102) were cardiovascular; excess mortality was concentrated in adults aged 65+ (7.08 deaths per 100,000/month vs 0.55 for ages 0-64 in the highest 5+ µg/m³ smoke-PM2.5 bin)
    Excerpt
    “"approximately 11,415 non-accidental deaths (95% CI: 6,754, 16,075) were attributable to smoke PM2.5 in the contiguous U.S. per year ... approximately 4,512 deaths (95% CI: 1,922, 7,102) from cardiovascular diseases ... greater increases in mortality rates were observed among people who aged above 65 across all smoke PM2.5 concentration bins." ”
    Source data from
    2024-09-24
    Accessed
    2026-06-14
    Calculation
    Ma et al. 2024 is the modern US-specific replacement for the older global Johnston 2012 anchor on smoke mortality. 11,415 non-accidental deaths/year across a contiguous-US adult population of ~258 million ≈ 4.42e-5 per year; compounded over 59 adult years ≈ 2.6e-3 ≈ 1 in ~385, which corroborates (rather than revises) the global "smoke-attributable" row in regional_breakdown at 0.0025. The headline normalized figure is INTENTIONALLY the much smaller DIRECT-fire number; this source modernizes and US-localizes the smoke-mortality counterpoint that is the central finding of the body text. The age-65+ stratification (7.08 vs 0.55 deaths/100k/month at the highest exposure bin, a ~13x excess-rate ratio) is the source for the new "age 65+ (smoke exposure)" personal_factor_multiplier.
    Independence
    Ma et al. 2024 (PNAS, Yale) is an independent primary peer-reviewed US-specific estimate, methodologically distinct from Johnston 2012 (global, EHP) and from NIFC/III activity and direct-death data, which do not address smoke-attributable mortality at all.

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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