Skip to content
Likelier
Natural · reviewed 2026-04-19

What are the odds of dying from the effects of climate change?

Evidence quality 5.0/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

Lifetime probability · lifetime, global adult

1 in 204

0.5% lifetime chance

Most people underestimate this.

range 1 in 500 to 1 in 67

lifetime, global adult each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A single thermometer shape rising against a pale warm gradient background, flat vector illustration.

Perceived

Climate change mortality sits in an unusual perception space: politically polarised and temporally displaced. Surveys consistently show that most adults in high-income countries rank climate change as a "serious" or "very serious" long-term threat, but far fewer connect it to a personal mortality risk in their own lifetime. The framing is almost always about future generations, polar bears, or island nations — not about the reader dying from a heat wave, a crop failure, or a vector-borne disease expansion that would not have occurred without warming. Those who do worry about climate death tend to anchor on dramatic scenarios (civilisational collapse, runaway feedback loops) rather than the incremental additional mortality that WHO and the Lancet Countdown already track. The result is a bimodal perception: either "not my problem in my lifetime" or "existential catastrophe," with little occupancy in the middle ground where the epidemiological evidence actually sits.

Rough estimate: 64% of Americans say they are 'somewhat' or 'very worried' about global warming, but only 43% expect it to harm them personally

Source: Yale Program on Climate Change Communication (2024) — Climate Change in the American Mind: Beliefs & Attitudes, Fall 2024

Actual

WHO: ~250,000 additional deaths/year projected 2030-2050 from heat, malnutrition, malaria, diarrhoea alone; Lancet Countdown 2025: ~546,000 heat-related deaths/year already observed

global adults, attributable additional mortality from climate change

Show derivation

The normalized figure attempts to capture the additional mortality burden attributable to anthropogenic climate change over a remaining adult lifetime of 59 years. Two anchors bracket the estimate. (1) WHO's 2014/2023 projection of ~250,000 additional deaths per year from 2030-2050 from heat stress, malnutrition, malaria, and diarrhoea alone — deliberately conservative, covering only four pathways. (2) The Lancet Countdown 2025 report's finding that heat-related mortality alone already reaches ~546,000 deaths per year globally, a 23% increase since the 1990s. Adding wildfire smoke PM2.5 mortality (154,000 in 2024 per the same report), expanding vector-borne disease ranges, and crop-yield declines pushes the plausible additional-mortality envelope to 400,000-800,000 per year in the 2025-2050 window. Using a midpoint of ~500,000 additional deaths/year against a global adult population of ~6 billion gives a per-adult-year hazard of ~8.3 x 10^-5. Compounded over 59 years: 1 - (1 - 0.0000833)^59 ≈ 0.0049, or roughly 1 in 200. This figure is distinct from the baseline mortality already captured in the extreme-heat, wildfire, and flood entries — it represents the additional increment attributable to warming. The uncertainty is wide because attribution science is still maturing and because the trajectory depends heavily on emissions pathway (RCP 2.6 vs RCP 8.5). Tail risks (permafrost pathogen release, simultaneous breadbasket failure, wet-bulb uninhabitability) are not included in the central estimate but are acknowledged in the caveats.

Caveats: This entry attempts to capture the additional mortality attributable to anthropo…

This entry attempts to capture the additional mortality attributable to anthropogenic climate change, distinct from baseline risks already tracked in the extreme-heat, wildfire, and flood entries. The separation is inherently imperfect: attribution science can estimate what fraction of a given heat wave would not have occurred without warming (the Lancet Countdown puts this at 84% for 2020-2024), but cannot assign individual deaths to "climate" vs "weather" with certainty. The WHO 250,000/year projection and the Lancet Countdown's observed 546,000 heat-deaths/year differ by more than 2x because they measure different things (forward projection of four pathways vs observed attribution across a broader envelope). The uncertainty band on this entry is deliberately wide (0.002-0.015) to accommodate both the emissions-pathway uncertainty (RCP 2.6 vs RCP 8.5 yields roughly a 5x difference in 2050 mortality) and the tail-risk scenarios not included in the central estimate: permafrost pathogen release, simultaneous breadbasket failure across multiple continents, and wet-bulb temperature exceedance rendering parts of the tropics physiologically uninhabitable. These tail risks are low-probability but high-consequence, and their exclusion from the headline number means the entry is conservative in the right tail. Regional variation is enormous — a reader in sub-Saharan Africa faces roughly 7x the risk of a reader in Northern Europe — and the global-adult-lifetime scope is a deliberate averaging choice.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Global average (additional climate-attributable) 1 in 204 Central estimate across all pathways; dominated by heat and malnutrition in the near term
Sub-Saharan Africa 1 in 67 Highest burden due to malaria expansion, crop failure, and weak health infrastructure
South/Southeast Asia 1 in 100 Wet-bulb temperature risk, monsoon disruption, and dense coastal populations
High-income temperate countries 1 in 500 Lower direct mortality due to adaptive capacity; primarily heat-wave and air-quality pathways

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Natural

Extreme heat

What are the odds of dying from extreme heat?

Health

COVID-19

What are the odds of dying from COVID-19 over the course of the pandemic and endemic era?

Natural

Wildfire

What are the odds of being killed by a wildfire?

Health

Next pandemic death

What are the odds of dying in the next pandemic?

Animal

Mosquito-borne disease

What are the odds of dying from a mosquito-borne disease?

food

Food poisoning (global)

What are the odds of dying from food poisoning (worldwide)?

Natural

Hurricane

What are the odds of being killed by a hurricane (tropical cyclone)?

Natural

AMOC collapse

What are the odds of the AMOC experiencing an abrupt collapse before the end of your lifetime?

Compare to:

The WHO projection is the number everyone cites and almost nobody contextualises correctly. Between 2030 and 2050, climate change is expected to cause approximately 250,000 additional deaths per year from four pathways alone: heat stress (~38,000), childhood undernutrition (~95,000), malaria (~60,000), and diarrhoea (~48,000). That figure is conservative by design — it excludes wildfire smoke, air-pollution amplification, sea-level displacement, conflict, and mental-health mortality. The Lancet Countdown’s 2025 report, working from observed data rather than forward projections, already counts 546,000 heat-related deaths per year globally, a 23% increase since the 1990s, with 84% of heatwave days in 2020-2024 attributable to human-induced warming. Add the record 154,000 deaths from wildfire-smoke PM2.5 in 2024 and the expanding ranges of dengue, malaria, and other vector-borne diseases, and the plausible additional-mortality envelope sits somewhere between 400,000 and 800,000 deaths per year in the current decade — already exceeding the WHO projection that was framed as a future scenario.

The framing problem is temporal and psychological. Climate change mortality does not arrive as a discrete event that can be feared, avoided, or insured against in the way a car crash or a shark attack can. It arrives as a slow upward shift in baseline mortality rates across multiple pathways: more frequent and intense heat waves, reduced crop yields in the tropics, expanded mosquito ranges, degraded air quality from wildfires, and coastal flooding from sea-level rise. Each individual pathway adds a small increment to annual mortality, but the increments compound across decades and across pathways. The lifetime additional risk for a global adult — roughly 1 in 200 at the central estimate — is comparable to the lifetime odds of dying in a flood and roughly 50 times higher than the lifetime odds of dying from a lightning strike. It is not the civilisational-collapse scenario that dominates public discourse, but it is not negligible either.

The tail risks deserve separate acknowledgment because they are what make the uncertainty band on this entry unusually wide. Simultaneous breadbasket failure across the Northern Hemisphere’s major grain-producing regions — a scenario that climate models put at low but non-trivial probability under 2-3C of warming — could cause mortality spikes that dwarf the steady-state additional deaths. Wet-bulb temperature exceedance above 35C, the physiological limit for human thermoregulation, could render parts of South Asia, the Persian Gulf, and equatorial Africa literally uninhabitable during peak events. Permafrost thaw releasing ancient pathogens is speculative but not zero-probability. None of these scenarios are in the central estimate, which is why the upper bound of the uncertainty band (0.015, or roughly 1 in 67) sits roughly 3x above the headline — and even that may be conservative if emissions track the high-end pathway.

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] World Health Organization — Climate change and health
    Climate change and health
    Statistic
    Between 2030 and 2050, climate change is expected to cause approximately 250,000 additional deaths per year from undernutrition, malaria, diarrhoea, and heat stress alone
    Excerpt
    “"Between 2030 and 2050, climate change is expected to cause approximately 250 000 additional deaths per year, from malnutrition, malaria, diarrhoea and heat stress alone. The direct damage costs to health is estimated to be between USD 2-4 billion per year by 2030." ”
    Source data from
    2023-10-12
    Accessed
    2026-04-18 · archived copy
    Calculation
    WHO's 250,000/year projection is the conservative lower anchor for this entry. It covers only four mortality pathways (heat stress: ~38,000; diarrhoea: ~48,000; malaria: ~60,000; childhood undernutrition: ~95,000) and excludes air-pollution amplification, sea-level displacement, conflict driven by resource scarcity, wildfire smoke, and mental-health mortality. The WHO figure is therefore a floor, not a ceiling, and the entry's central estimate of ~500,000/year reflects the broader mortality envelope documented by the Lancet Countdown.
    Independence
    WHO's projection uses its own Global Health Estimates modelling framework and is methodologically independent of the Lancet Countdown, though both draw on some shared upstream climate-model outputs (CMIP scenarios).
  2. [2] The Lancet / Lancet Countdown Collaboration — The 2025 report of the Lancet Countdown on health and climate change: climate change action offers a lifeline
    The 2025 report of the Lancet Countdown on health and climate change: climate change action offers a lifeline
    Statistic
    Heat-related mortality reached ~546,000 deaths/year globally, a 23% increase since the 1990s; 84% of heatwave days 2020-2024 would not have occurred without human-induced climate change; record 154,000 deaths from wildfire smoke PM2.5 in 2024
    Excerpt
    “"The rate of heat-related mortality has increased 23% since the 1990s, pushing total heat-related deaths to an average 546,000 deaths per year." ”
    Source data from
    2025-10-29
    Accessed
    2026-04-18
    Calculation
    The Lancet Countdown 2025 report provides the most comprehensive contemporary assessment of climate-attributable health impacts. The 546,000 heat-related deaths per year figure is the observed current burden — substantially larger than WHO's 2030-2050 projection of ~38,000 heat-stress deaths, reflecting both methodological differences (attribution vs. projection) and the fact that warming has proceeded faster than the WHO modelling assumed. The 84% attribution figure (84% of heatwave days 2020-2024 would not have occurred without anthropogenic warming) provides the causal link between emissions and mortality. The 154,000 wildfire-smoke PM2.5 deaths in 2024 are additive. Together these figures support the entry's ~500,000/year central estimate for total additional climate-attributable mortality.
    Independence
    The Lancet Countdown is methodologically independent of WHO's 250,000/year projection. It uses a different modelling approach (observed attribution rather than forward projection) and a broader mortality envelope. The two estimates bracket the plausible range from different directions.
  3. [3] United Nations — Climate Action: Health
    Climate Action: Health
    Statistic
    Climate change is expected to cause approximately 250,000 additional deaths per year between 2030 and 2050; climate-sensitive health risks disproportionately affect the most vulnerable
    Excerpt
    “"Between 2030 and 2050, climate change is expected to cause approximately 250,000 additional deaths per year, from malnutrition, malaria, diarrhoea and heat stress." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    UN's climate-and-health page cites the same WHO 250,000/year projection and provides additional context on vulnerable populations and economic costs. Used as a corroborating reference for the WHO estimate rather than an independent data point.
    Independence
    Not independent of WHO — the UN page directly cites the WHO projection. Included for accessibility and because the UN framing adds context on disproportionate impact on vulnerable populations.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238