Skip to content
Likelier

Perceived fear vs. actual probability

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

Lifetime probability · activity

~56% chance of having at least one flight canceled in a

56% lifetime chance

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

Transport · reviewed 2026-05-16
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
Source Government statistic · Bureau of Transportation Statistics (DOT)
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

  1. Your factors
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.

Related risks

Other risks on similar themes — for exploring related fears.

Transport

Mishandled luggage

What are the odds of an airline losing or mishandling checked luggage?

Transport

Trip disruption: war or disaster

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

Transport

Deer collision

What are the odds of hitting a deer or other animal with your car?

Transport

At-fault injury crash

What are the odds of causing an injury crash as an at-fault driver?

Transport

Car-crash injury

What are the odds of being injured in a car crash?

Transport

E-bike no helmet

What are the odds of serious head injury riding an e-bike without a helmet?

Transport

E-scooter no helmet

What are the odds of serious head injury riding an e-scooter without a helmet?

Transport

Runway near-miss

What are the odds your flight is involved in a serious runway near-miss?

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 factors within the airlines’ control. A 2023 Government Accountability Office review found that the leading causes of cancellations in late 2021 and into 2022 were airline-controlled: aircraft maintenance backlogs and, above all, pilot and crew shortages, with winter weather events adding to the toll. Airlines made targeted operational fixes and returned to the 1.3-1.4% range by 2023-2024. The underlying cancellation floor sits close to the 0.6% low that BTS recorded in September 2024 — even the calmest months see some weather-driven cancellations that airlines cannot avoid. Winter storm months and the August peak-summer travel period consistently run well above that floor: BTS recorded a 2.0% rate in August 2024, roughly three times the September low, 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.

About 1.4% of US scheduled flights were canceled in 2024. Any single flight is very likely to operate, but across a lifetime of flying the per-flight odds compound to roughly a 56% chance of having at least one flight canceled.

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, up from the 1.3% rate in 2023
    Excerpt
    “"In 2024, 1.4% of flights were cancelled, higher than the 1.3% cancellation rate in 2023." ... "In 2024, the reporting marketing carriers posted a cancellation rate of 1.4%, up from 1.3% in 2023." ”
    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 Government Accountability Office (GAO-23-105524) — Airline Passenger Protections: Observations on Flight Delays and Cancellations, and DOT's Efforts to Address Them
    Airline Passenger Protections: Observations on Flight Delays and Cancellations, and DOT's Efforts to Address Them
    Statistic
    GAO found the leading causes of flight cancellations in late-2021 and April 2022 were factors within the airlines' control; pilot and crew shortages had the greatest impact
    Excerpt
    “"Overall, the leading causes for flight cancellations in late-2021, as well as April 2022, were factors within the airlines' control. ... Shortages in pilots and aircraft crew had a greater impact on flight[s], according to representatives from all of the four airlines and three unions we spoke with." ”
    Source data from
    2023-04-13
    Accessed
    2026-06-30 · archived copy
    Calculation
    Used for context on drivers of the elevated 2021-2022 cancellation period. GAO attributes the cancellation surge primarily to airline-controlled factors (aircraft maintenance and, above all, pilot/crew shortages), with weather driving many winter cancellations. This supports treating the 2022 spike as an operational anomaly and using the 2023-2024 rates (~1.3-1.4%) as the current baseline rather than the elevated 2022 figure.
    Independence
    The GAO is an independent, nonpartisan legislative-branch audit agency, distinct from both BTS (which compiles the statistics) and the airlines that report them. Its review of DOT/BTS performance data provides an oversight perspective separate from BTS's statistical compilation role.
  4. [4] Bureau of Transportation Statistics (DOT) — Scheduled, canceled, and operated flights by month 2019-2024 (through December)
    Scheduled, canceled, and operated flights by month 2019-2024 (through December)
    Statistic
    Monthly marketing-carrier domestic cancellation rates in 2024 (canceled ÷ scheduled): August 2.03% (13,434 / 660,639), September 0.59% (3,670 / 621,649)
    Excerpt
    “"Scheduled, canceled, and operated flights by month 2019-2024 (through December)." ... "Operated = Scheduled Flights Minus Canceled Flights." Workbook: "Scheduled-canceled-operated-flights-by-month-Jan-2019-through-December 2024.xlsx". ”
    Source data from
    2025-03-14
    Accessed
    2026-07-14 · archived copy
    Calculation
    The companion monthly workbook to the full-year 2024 Air Travel Consumer Report (both dated 2025-03-14). Cancellation rate per month = Total Domestic Flight Cancellations ÷ Total Scheduled Domestic Flights. August 2024: 13,434 ÷ 660,639 = 2.03% ≈ 2.0%. September 2024: 3,670 ÷ 621,649 = 0.59% ≈ 0.6%. Cross-checks against the annual ATCR's rounded monthly figures confirm the table is the authoritative monthly source: November 2024 = 2,804 ÷ 614,597 = 0.46% ≈ 0.5% and December 2024 = 4,579 ÷ 631,944 = 0.72% ≈ 0.7%, matching the ATCR verbatim. Grounds the Aug/Sep monthly figures cited in the prose and in the seasonal-peak personal factor; does not change the headline native (1.4%) or normalized (0.56) values.
    Independence
    Same BTS DOT mandatory-reporting pipeline (14 CFR Part 234) as the annual Air Travel Consumer Report; this is the monthly breakdown released alongside the full-year 2024 report. Administrative regulatory data, independent of airline customer-satisfaction surveys or insurance-claims datasets.

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

Recently viewed on this device