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Transport · reviewed 2026-05-16

What are the odds of a trip being significantly disrupted by war, political unrest, or natural disaster?

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

Lifetime probability · lifetime, activity-specific

1 in 1.7

60% lifetime chance

range 1 in 3.8 to 1 in 1.1

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 11

● your factors — click this risk ▾ to reveal

≈ As likely as

Airline departure board showing cancelled flights, with a distant volcano silhouette visible through a terminal window.

Perceived

The news cycle delivers vivid images of travelers stranded at airports, volcanic ash clouds drifting over Europe, and rockets over Middle Eastern capitals just days before someone's booked departure. Because dramatic disruptions make headlines and routine departures do not, the typical traveler's prior is assembled almost entirely from a handful of memorable episodes — the 2010 Eyjafjallajökull ash cloud, COVID border closures, the Russia-Ukraine airspace shutdowns, Iran-adjacent escalations. Many people quietly overestimate the risk for the destinations they actually visit (Western Europe, Mexico, the Caribbean in good seasons) while underestimating it for genuinely unstable corridors they nevertheless book because a package deal was cheap. No rigorous survey isolates this specific fear, so the perceived side is editorial intuition rather than polled data.

Source: editorial intuition, not polled

Actual

~1–2% of international trips experience significant external-cause disruption (war, disaster, mass airspace closure)

international travelers broadly

Show derivation

The per-trip rate is estimated at ~1.5% (15 per 1,000) for "significant external-cause disruption" — defined as a trip cancelled, substantially rerouted, or cut short due to armed conflict, political unrest, natural disaster, or mass airspace closure, where the cause is outside the traveler's household. This is distinct from personal-cause cancellations (illness, work, family emergency), which dominate the overall cancellation data. The 1.5% figure is derived by working backward from travel insurance industry data: roughly 16% of policyholders file any claim; ~40% of those claims are trip cancel/interrupt; approximately one quarter of cancel/interrupt claims involve an external non-medical cause. That chain yields ~1.6% of insured trips, rounded down to 1.5% to account for survivorship bias (uninsured travelers don't generate claim data, and frequent travelers self-select toward lower-risk destinations). The uncertainty band is deliberately wide because the figure is highly window-sensitive — a single Eyjafjallajökull-type event, a regional airspace closure, or a hurricane season can shift the annual rate by a factor of three or more. Normalization: 2 international trips/year × 30 years of active travel = 60 trips. Lifetime = 1 − (1 − 0.015)^60 ≈ 0.60. For less frequent travelers (1 trip/year, 20 years = 20 trips): 1 − (0.985)^20 ≈ 0.26. Scope is activity_specific_lifetime — the number is only meaningful for people who travel internationally; someone who never boards an international flight has zero exposure.

Caveats: The ~1.5% per-trip rate is a weighted average across all international destinati…

The ~1.5% per-trip rate is a weighted average across all international destinations and all causes; it conceals enormous destination variance. A traveler who spends 30 years flying between Level 1 destinations (Paris, Tokyo, Toronto) faces a rate closer to 0.2% per trip; someone who regularly visits Level 3 destinations faces 10x that. The per-trip rate is also window-sensitive: in years with a major volcanic eruption (2010), a pandemic (2020), or a regional air war (2022 Russian airspace closures), the annual disruption rate spikes far above the long-run average before reverting. The 60% lifetime figure is a useful planning anchor for a frequent international traveler but should not be interpreted as "60% chance my next trip is disrupted" — the per-trip rate remains ~1.5%. Finally, most standard travel insurance policies explicitly exclude war and civil unrest from covered cancellation reasons; a "Cancel for Any Reason" (CFAR) rider is needed to recover costs for those specific disruptions.

Risks at similar odds

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

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At-fault injury crash

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E-bike no helmet

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E-scooter no helmet

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Other

Insurance claim denial

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Burst pipe damage

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Compare to:

The per-trip disruption rate from external causes — war, political unrest, volcanic eruption, mass airspace closure — is approximately 1 to 2 percent for a representative international trip to a non-advisory-flagged destination. That figure is assembled by working backward through travel insurance claims data: roughly 16% of policyholders file any claim; around 40–46% of those claims involve a trip cancelled or cut short; illness and family emergencies dominate that subset, with external causes (conflict, disaster, civil disturbance) accounting for a minority. The result is a per-trip external-disruption rate in the low single digits as a percentage. The State Department’s current advisory landscape provides context for scale: approximately 40 of the ~195 assessed destinations carry a Level 3 (“Reconsider Travel”) or Level 4 (“Do Not Travel”) designation, but those destinations account for a small share of actual US outbound travel — the top five overseas destinations in 2024 (UK, Italy, France, Dominican Republic, Spain) all sit at Level 1 or 2.

At 1–2% per trip, the cumulative lifetime figure for an active international traveler compounds into something that looks alarming: an adult taking two international trips per year for 30 years faces roughly a 60% lifetime probability of experiencing at least one significant external-cause disruption. That is not a reason for alarm so much as a calibration point — it is the nature of independent repeated low-probability events. The 1.5% per-trip rate is also window-sensitive in a way that makes averages imperfect. The 2010 Eyjafjallajökull eruption stranded roughly 10 million travelers and cancelled over 107,000 flights across Europe in eight days, representing 48% of European air traffic for that window. The 2022 closure of Russian airspace following the invasion of Ukraine did not prevent travel but added hours to long-haul flights between Europe and Asia for months. A single large-scale event can shift the annual disruption rate by a factor of three without changing the underlying decade-long trend.

The insurance actuarial question — whether to buy trip protection — is therefore not about whether the 1.5% per-trip rate is “high enough to matter” but about the asymmetry of individual exposure. A traveler whose trip costs $200 in non-refundable bookings and who is going to Lisbon faces a different calculation than one spending $8,000 on a non-refundable group tour to a hurricane-corridor destination in October. Standard trip cancellation policies typically cover illness and family emergency but exclude war and civil unrest; a “Cancel for Any Reason” (CFAR) rider covers those specific gaps but adds roughly 40–50% to the policy cost. The actuarial logic for CFAR is strongest when non-refundable costs are high, the destination carries a current or credibly foreseeable advisory, or the booking window is long — and weakest when most bookings are refundable, the destination is politically stable, and the lead time is short.

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] U.S. Department of State, Bureau of Consular Affairs — Travel Advisories
    Travel Advisories
    Statistic
    Approximately 40 countries at Level 3 (Reconsider Travel) or Level 4 (Do Not Travel) as of 2025–2026, out of ~195 total destinations assessed
    Excerpt
    “"Level 3 – Reconsider Travel: Reconsider your travel to the destination due to serious risks to safety and security. Level 4 – Do Not Travel: Do not travel to the destination. This is the highest advisory level due to life-threatening risks." ”
    Source data from
    2026-05-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    State Dept advisory counts are used to establish baseline: roughly 20% of assessed destinations carry elevated (Level 3/4) advisories at any given moment. However, the US outbound travel market is heavily concentrated at Level 1–2 destinations: the top 5 overseas destinations in 2024 were the UK, Italy, France, Dominican Republic, and Spain, all of which hold Level 1 or Level 2 advisories. This means the average realized per-trip disruption risk for US travelers as a population is substantially below what the raw count of Level 3/4 countries would suggest. The advisory count feeds the personal_factor_multipliers rather than the headline rate.
    Independence
    Primary U.S. government source; methodologically independent of the travel insurance industry data used in source 2.
  2. [2] Squaremouth (via PR Newswire) — Travel Insurance Claims Paid Out 6X Policy Premium in 2023
    Travel Insurance Claims Paid Out 6X Policy Premium in 2023
    Statistic
    Nearly half of all paid travel insurance claims in 2023 were for trips canceled or cut short; Trip Cancellation was the most commonly paid benefit at 25% of all paid claims with average payout of $4,854
    Excerpt
    “"Nearly half of all paid claims in 2023 were for trips that were canceled outright or cut short. The most commonly paid out claim in 2023 was Trip Cancellation at 25%, with an average payment amount near $5,000. With an average pay out of $1,900 per claim, the average reimbursement exceeded the average travel insurance policy cost by 6-times." ”
    Source data from
    2024-02-20
    Accessed
    2026-05-03 · archived copy
    Calculation
    Squaremouth's 2023 data is used to anchor the trip-cancel/interrupt share of total claims (~40–46% of paid claims are cancel/interrupt combined). Paired with the industry-reported figure that roughly 16% of travel insurance policyholders file any claim (UStiA Travel Protection Market Study, cited across multiple trade sources), this gives approximately 6–7% of insured trips experiencing a cancel/interrupt claim from any cause. The subset attributable to external causes — war, disaster, civil unrest, mass airspace closure — is estimated at roughly one quarter of all cancel/interrupt claims based on the fact that illness and family emergencies dominate the covered-reason landscape (roughly 75% of Squaremouth policies cover medical cancellation). This chain yields ~1.5–2% of insured trips disrupted by external causes, which we adopt as the central per-trip rate. Squaremouth is the largest US travel insurance comparison marketplace and its annual press releases are the clearest publicly available window into claims composition, though they report characteristics of paid claims rather than claims-per-policy rates.
    Independence
    Squaremouth data is based on policies sold through its marketplace and claims processed through its affiliated insurers — a different pipeline from the State Dept advisory system. The two sources are methodologically independent.

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