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Likelier
Transport · reviewed 2026-05-16

What are the odds of having a flight canceled on any given trip?

Evidence quality 4.5/5

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
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 1.8

56% lifetime chance

range 1 in 3.3 to 1 in 1.2

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 3.0

● your factors — click this risk ▾ to reveal

≈ As likely as

An airplane silhouette with a simplified X symbol on a departure board, flat vector illustration in muted tones.

Perceived

After the chaos of 2022 — when some major US carriers canceled 3-4% of scheduled flights and high-profile holiday meltdowns dominated news coverage — many travelers calibrated their cancellation anxiety upward. The perception that flight cancellations are a frequent and unpredictable hazard has persisted even as airlines returned to near-record reliability by 2023-2024. Most frequent travelers, if asked, would estimate a per-trip cancellation risk somewhere between 5% and 20% — somewhat higher than the current reality for a single-flight trip.

Rough estimate: Most travelers guess 5-20% per trip after the 2022 disruptions

Source: editorial intuition, not polled

Actual

~1.4% of US scheduled flights canceled in 2024

US domestic and international scheduled flights operated by reporting marketing carriers (BTS DOT 2024)

Avg. lifetime encounters:  ~236 (4/yr × 59 yr)

Show derivation

BTS Air Travel Consumer Report (full year 2024): reporting marketing carriers posted a cancellation rate of 1.4% of scheduled flights (down from 2.7% in 2022, similar to 1.3% in 2023). A typical US air traveler flies approximately 4 flight segments per year (round trips = 2 segments x 2 trips ≈ 4 segments). Over 40 years of adult flying (ages 18-58, reflecting the period of most active travel): probability of at least one cancellation = 1 − (1 − 0.014)^(4×40) = 1 − (0.986)^160 ≈ 0.89. This figure is cumulative over a full flying lifetime and is used as the upper end of uncertainty. The central estimate uses a more conservative assumption of 4 segments/year for 30 active flying years: 1 − (0.986)^120 ≈ 0.82. However, given that the scope is activity_specific_lifetime and many US adults fly far less frequently, the central value is set at 0.56, corresponding to roughly 58 total flight segments over a flying lifetime (about 2 round trips/year for 15 active years, or 1 round trip/year for 30 years): 1 − (0.986)^58 ≈ 0.56. This reflects median US adult air travel behavior more than the top-quartile frequent flyer. Per-segment probability: 1.4% = 0.014.

Caveats: The 1.4% per-segment rate is a national average across all domestic and internat…

The 1.4% per-segment rate is a national average across all domestic and international routes operated by reporting carriers. It masks significant variation by airline (budget carriers sometimes outperform majors; Spirit historically underperformed), route (high-weather corridors see higher rates), and season. The lifetime figure of 0.56 is highly sensitive to assumptions about total flight segments flown — an infrequent flyer (1 round trip per year for 20 years = 40 segments) faces a 43% lifetime probability, while a frequent flyer (20 segments/year for 30 years = 600 segments) approaches near-certainty. The BTS figures count marketing carrier cancellations reported to DOT; flights operated by regional code-share partners are sometimes reported separately. The entry covers full cancellations only — significant delays (which affect a much higher fraction of flights) are a separate event with distinct consequences.

Risks at similar odds

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At-fault injury crash

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Turbulence injury

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Health

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Compare to:

Flight cancellations are more common than the modal flying experience suggests, but less common than the 2022 holiday chaos left many travelers believing. The Bureau of Transportation Statistics’ full-year 2024 data puts the US cancellation rate at 1.4% of scheduled flights — meaning roughly 1 in 71 individual flight segments is canceled before departure. For a traveler who flies 4 segments per year (two round trips), that translates to about a 5.4% annual probability of experiencing at least one cancellation — unremarkable in any given year, but nearly certain over a lifetime of regular flying.

The 2022 spike to 2.7% — nearly double the baseline rate — was driven by a specific confluence of post-pandemic staffing shortages, aircraft maintenance backlogs, and above-average weather events, documented in a 2024 DOT Inspector General review. Airlines made targeted operational fixes and returned to the 1.3-1.4% range by 2023-2024. The underlying cancellation floor appears to be somewhere around 0.6-1.0% in the best months, driven primarily by weather events (roughly 25-30% of all cancellations) that airlines cannot control. The worst months — January and August — consistently run at two to three times the best-month rates, and high-disruption hubs like O’Hare, JFK, and Denver run structurally above the national average.

The practical consequences of a cancellation vary enormously depending on rebooking options, the passenger’s flexibility, travel insurance coverage, and the airline’s policies. Since 2024 the DOT has strengthened automatic refund rules for canceled flights, making the financial consequence more predictable than the logistical one. The risk of a cancellation is not symmetric: it falls much harder on travelers with tight connections, time-sensitive events, or complex itineraries. A cancellation on the outbound leg of a weekend trip is a minor inconvenience; the same event the night before a wedding or surgery is materially different.

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] Bureau of Transportation Statistics (DOT) — Air Travel Consumer Report: December 2024, Full Year 2024 Numbers
    Air Travel Consumer Report: December 2024, Full Year 2024 Numbers

    See all 2 Likelier entries citing this source →

    Statistic
    1.4% of flights canceled in full-year 2024 by reporting marketing carriers; 2023 rate was 1.3%; 2022 rate was 2.7%
    Excerpt
    “"In 2024, 1.4% of flights were cancelled, higher than the 1.3% cancellation rate in 2023. Monthly rates in 2024 ranged from a low of 0.6% in September to a high of 2.0% in August." ”
    Source data from
    2025-02-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    BTS reports cancellation rates monthly. The full-year 2024 rate of 1.4% is the share of scheduled domestic and international flights operated by reporting marketing carriers that were canceled. Per-segment: 0.014. For 80 segments (4/year × 20 years): 1 − (0.986)^80 ≈ 0.67. For 58 segments (median estimate): 1 − (0.986)^58 ≈ 0.56. The central estimate of 0.56 is used.
    Independence
    BTS Air Travel Consumer Report data is compiled from mandatory reporting by US airlines to the DOT under 14 CFR Part 234. It is a regulatory administrative dataset and independent from airline customer satisfaction surveys, industry association reports, or travel insurance claims databases.
  2. [2] Bureau of Transportation Statistics (DOT) — Air Travel Consumer Report: December 2023, Full Year 2023 Numbers
    Air Travel Consumer Report: December 2023, Full Year 2023 Numbers
    Statistic
    2023 cancellation rate: 1.29% for reporting marketing carriers — lowest in over a decade; 2022 cancellation rate: 2.7%
    Excerpt
    “"The reporting marketing carriers posted a cancellation rate of 1.29% in 2023, down from 2.7% in 2022. The 2023 cancellation rate was among the lowest in over a decade for the national airspace system." ”
    Source data from
    2024-02-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The 2023 full-year 1.29% rate provides the prior-year anchor for the 2024 figure. The two-year average of 2023-2024 is (1.29 + 1.4) / 2 ≈ 1.35%, which is broadly consistent with the central 1.4% estimate used in the normalized calculation. The 2022 spike to 2.7% represents a period of above-average disruption not expected to be representative of future baseline rates.
    Independence
    Same BTS DOT mandatory-reporting pipeline as the 2024 annual report. The two annual reports are from the same administrative data system and are internally consistent, providing a multi-year trend for context.
  3. [3] US Department of Transportation Office of Inspector General — DOT Office of Inspector General: Flight Delays and Cancellations Review
    DOT Office of Inspector General: Flight Delays and Cancellations Review
    Statistic
    OIG review confirmed systemic factors contributing to 2022 spike; structural improvements by carriers reduced rates in 2023-2024; weather accounts for approximately 25-30% of cancellations
    Excerpt
    “"The OIG review found that the 2022 cancellation spike was driven by staffing shortages, supply chain issues for aircraft parts, and above-average weather events. Airlines made targeted structural improvements in crew scheduling and aircraft maintenance that contributed to the improved 2023 cancellation rates. Weather accounts for a persistent 25-30% of cancellation events across all years." ”
    Source data from
    2024-10-23
    Accessed
    2026-05-14 · archived copy
    Calculation
    Used for context on drivers of cancellation rates and the 2022 anomaly. The OIG report confirms that 2022 was an outlier attributable to specific operational disruptions, supporting the use of 2023-2024 rates (~1.3-1.4%) as the current baseline rather than the elevated 2022 figure.
    Independence
    The DOT OIG is an independent auditing body within the Department of Transportation, separate from BTS statistical operations. Its review of airline performance data provides a regulatory oversight perspective distinct from BTS's statistical compilation role.

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