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Perceived fear vs. actual probability

What are the odds of dying from drought-induced famine or water scarcity?

Lifetime probability · global

1 in ~6,500

0.02% lifetime chance

Most people underestimate this.

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

Natural · reviewed 2026-05-16
Evidence quality 4.0/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
4/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
4/5
Average 4.0/5
Direct evidence
Source Government statistic · World Meteorological Organization
lifetime, global adult each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
A stylized cracked dry earth landscape with a withered crop, flat vector illustration in muted ochre and brown tones.

Perceived

Famine is perceived as a problem of the past — something that happened in Ethiopia in the 1980s, in Ireland in the 1840s, or in China under Mao. The modern perception in high-income countries is that food production and distribution systems have solved the problem. They have not. Drought remains the deadliest category of climate-related disaster over the past half-century, and the trend since 2018 has reversed decades of progress. The WHO, WMO, and WFP all describe a global hunger crisis that is intensifying, not retreating.

Rough estimate: most people in high-income countries would place famine risk near zero for the world today — the actual ongoing toll is in the tens of thousands per year

Source: editorial intuition, not polled

Actual

~10,000–15,000 drought-attributable deaths per year globally (modern era central estimate)

global adults

Show derivation

The WMO Atlas of Mortality (1970–2019) recorded 650,000 drought-related deaths over 50 years, averaging 13,000 per year. This average is heavily influenced by catastrophic events in the 1970s-1980s (Ethiopia, Sudan, Mozambique). Modern-era annual drought mortality is lower but rising: the 2020s have seen renewed famine conditions in the Horn of Africa, Yemen, Sudan, and Gaza. Using the 50-year WMO average of 13,000/year as the central estimate: annual rate = 13,000 / 5,000,000,000 = 2.6 × 10⁻⁶. Compounded over 59 years: 1 − (1 − 2.6e-6)^59 ≈ 1.53 × 10⁻⁴, i.e. roughly 1 in 6,500. The uncertainty band uses a low of ~3,000 deaths/year (optimistic modern baseline, low: 3.54e-5) and a high of ~30,000/year reflecting years with acute crises (high: 3.54e-4).

Caveats: The 13,000 deaths/year figure is a 50-year average that masks enormous variation…

The 13,000 deaths/year figure is a 50-year average that masks enormous variation. The 1983 Ethiopian famine alone killed an estimated 400,000 people; several recent years have recorded fewer than 1,000 direct drought-attributed deaths. The modern-era toll depends heavily on whether ongoing crises (Horn of Africa 2022-2023, Sudan 2024, Gaza 2024) are classified as drought-driven or conflict-driven. Attribution is inherently difficult because drought kills indirectly — through crop failure, livestock death, water contamination, malnutrition- weakened immunity, and displacement — rather than through a single discrete event. The WHO lists malnutrition and an increased risk of infectious diseases (cholera, diarrhoea, pneumonia) among drought's health effects. For residents of high-income countries with diversified food supply chains, personal drought-famine risk is effectively zero under current conditions.

Related risks

Other risks on similar themes — for exploring related fears.

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Post-hurricane heat death

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Climate change death

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

Compare to:

Drought is the deadliest category of climate-related disaster. The World Meteorological Organization’s Atlas of Mortality, covering 1970 to 2019, attributes 650,000 deaths to drought over that half-century — an average of 13,000 per year and more than storms (577,000), floods (59,000), or extreme temperatures (56,000) over the same period. Over 91% of these deaths occurred in developing countries, with sub-Saharan Africa bearing the heaviest burden: drought accounted for 95% of all climate-related deaths on the continent. At the 50-year average rate, the global adult lifetime probability of dying from drought-induced famine is roughly 1 in 6,500.

The perception in high-income countries is that famine is a solved problem — a relic of pre-modern agriculture and colonial extraction. The data say otherwise. The 2020s have seen renewed famine conditions across the Horn of Africa, Yemen, Sudan, and Gaza, with the number of people facing catastrophic food insecurity (IPC Phase 5) more than doubling to 1.9 million in 2024 — the highest on record. The WHO notes that drought kills indirectly: it lists malnutrition from decreased food availability and an increased risk of infectious diseases — cholera, diarrhoea, pneumonia — among the acute and chronic health effects of drought. This indirect pathway makes attribution difficult and almost certainly leads to systematic undercounting in official disaster databases.

The 50-year average of 13,000 deaths/year smooths over extreme variation. The 1983 Ethiopian famine alone killed an estimated 400,000 people; several recent years have recorded fewer than 1,000 direct drought-attributed fatalities. But the trend since 2018 is upward, driven by conflict-drought intersections where war disrupts food distribution in already drought-stressed regions. Climate models project more frequent and severe droughts in the tropics and subtropics, suggesting that the long-term decline in famine mortality may have already reversed.

Drought still kills an estimated 10,000 to 15,000 people a year worldwide, leaving a global adult about a 1 in 6,500 lifetime chance of a drought-attributable death. Most people in high-income countries place famine risk near zero for the modern world.

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.

3/3 sources independently verified verbatim against the cited source

  1. [1] World Meteorological Organization — Weather-related disasters increase over past 50 years, causing more damage but fewer deaths (WMO Atlas press release) Verified
    Weather-related disasters increase over past 50 years, causing more damage but fewer deaths (WMO Atlas press release)
    Statistic
    Droughts caused 650,000 deaths from 1970 to 2019, making them the deadliest category of climate-related disaster over this period; more than 91% of these deaths occurred in developing countries
    Excerpt
    “"Of the top 10 disasters, the hazards that led to the largest human losses during the period have been droughts (650 000 deaths). More than 91% of these deaths occurred in developing countries. Droughts led to the highest number of deaths [in Africa], accounting for 95% of all lives lost in the region." ”
    Source data from
    2021-09-01
    Accessed
    2026-05-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    The WMO press release for the Atlas of Mortality and Economic Losses (1970–2019) reports 650,000 drought deaths over 50 years — an annual average of 13,000. Applied to a global adult population of 5 billion: annual rate 2.6e-6; compounded over 59 years: ~1.53e-4. The 50-year average smooths over extreme year-to-year variation (from near-zero in good years to 100,000+ during the 1983 Ethiopian famine). URL updated from publication landing page to the press release, where the quoted statistics appear on the page itself.
    Independence
    WMO analysis draws on the EM-DAT disaster database but applies independent verification and is methodologically separate from the WHO drought health topic page below.
  2. [2] World Health Organization — Famine and Health — Drought Verified
    Famine and Health — Drought
    Statistic
    Drought may cause malnutrition and increased risk of infectious diseases including cholera, diarrhoea, and pneumonia
    Excerpt
    “"Drought may have acute and chronic health effects, including: malnutrition due to the decreased availability of food...increased risk of infectious diseases, such as cholera, diarrhoea, and pneumonia, due to acute malnutrition." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-24 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    The WHO framing is useful for understanding the causal pathway: drought's health effects include malnutrition from decreased food availability and an increased risk of infectious diseases (cholera, diarrhoea, pneumonia) linked to acute malnutrition. This indirect mechanism makes attribution difficult and likely leads to systematic undercounting in disaster databases.
    Independence
    WHO health-topic analysis is independently authored from the WMO Atlas, though both organizations are UN agencies drawing on overlapping data.
  3. [3] Food Security Portal (IFPRI), summarizing the Global Report on Food Crises 2024 Mid-Year Update — Catastrophe-Level Food Insecurity Highest Ever Recorded: GRFC Mid-Year Update Released Verified
    Catastrophe-Level Food Insecurity Highest Ever Recorded: GRFC Mid-Year Update Released
    Statistic
    The number of people facing or projected to face IPC Phase 5 (Catastrophe/Famine) food insecurity more than doubled from 2023 to 2024, rising from just over 700,000 to 1.9 million people across four countries/territories — the highest figure ever recorded by GRFC reporting, driven primarily by the Gaza Strip and Sudan conflicts.
    Excerpt
    “"The number of people facing or expected to face IPC Phase 5 (Catastrophe/Famine) food insecurity more than doubled from 2023 to 2024: from just over 700,000 people to 1.9 million people... This is the highest number ever recorded by GRFC reporting." ”
    Source data from
    2024-09-05
    Accessed
    2026-07-03 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Sources the body-prose claim that catastrophic (IPC Phase 5) food insecurity reached 1.9 million people in 2024, more than double the ~700,000 in 2023 and the highest total on record — the modern-era evidence that famine conditions are intensifying rather than retreating, referenced in the entry's framing of the 2020s trend reversal (Horn of Africa, Yemen, Sudan, Gaza).
    Independence
    Independently reported from the WMO Atlas and WHO sources above; draws on the Global Report on Food Crises (FSIN/Global Network Against Food Crises, a FAO/WFP/EU-backed partnership), a separate data pipeline from the EM-DAT disaster database underlying the WMO figures.

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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