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Likelier

Perceived fear vs. actual probability

What are the odds of having your keyless car stolen by a relay (signal-amplification) attack?

Lifetime probability · subgroup

~1 in 13

over ~12 years of owning a keyless car in the UK

7.5% lifetime chance

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

Crime · reviewed 2026-06-13

What are the odds of having your keyless car stolen by a relay (signal-amplification) attack?

Evidence quality 4.25/5

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
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.25/5
Direct evidence
Source Government statistic · Office for National Statistics
lifetime, subgroup each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
An abstract editorial symbol evoking "Keyless relay car theft", muted two-tone palette, flat vector.

Perceived

No published survey measures fear of relay or signal-amplification car theft specifically. The closest signal is heavy UK news coverage and insurer marketing through 2024 and 2025 framing keyless cars as trivially stealable from the owner's driveway in under sixty seconds, alongside Home Office statements that more than one in four UK vehicles carry vulnerable keyless entry. Owners of keyless premium models in UK cities express the sharpest worry; some Range Rover variants became hard to insure in London. The intuition most owners hold is that a keyless car parked outside overnight is at appreciable, recurring risk of electronic theft, with the fear concentrated in the UK and continental Europe rather than the US.

Rough estimate: Many UK keyless-car owners intuit something like a 1-in-10 chance over the life of the car

Source: editorial intuition, not polled

Actual

~0.65% of keyless UK vehicles per year (electronic theft, relay-led)

Keyless-entry vehicles in the UK

Show derivation

Subgroup: a UK resident who owns a keyless-entry vehicle, over a ~12-year ownership horizon (matching the UK average vehicle age). The UK records roughly 130,000 vehicle thefts a year (RUSI reports 136,396 across the UK in 2022-23; secondary summaries of ONS police-recorded data cite ~121,825 for England and Wales in the year ending March 2025 — that specific count was not confirmed on a primary ONS page and is treated as approximate). Of whole-vehicle thefts, the ONS Crime Survey attributes roughly half to manipulating the key-fob signal: 57.6% in 2023-24, falling to 46.7% in 2024-25; take ~50%, giving ~65,000 electronic (relay-led) thefts a year. The Home Office estimates over 27% of UK vehicles have vulnerable keyless entry; against a vehicle base of roughly 36 million that is ~10 million keyless vehicles. Annual per-keyless-vehicle electronic-theft rate ~= 65,000 / 10,000,000 = 0.0065. Compounded over 12 years: 1 - (1 - 0.0065)^12 = 0.075, about 1 in 13. log10(0.075) = -1.12. Bands are wide because the CSEW method-share is victim-reported (owners often cannot say how the car was taken) and swings ~11 points year-to-year, and because relay is the lead method within a broader electronic-theft category that also includes CAN-injection and key cloning.

Caveats: covered_in_prose

covered_in_prose

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Compare to:

Across the UK, roughly 130,000 vehicles are stolen each year, and the Office for National Statistics’ Crime Survey now attributes about half of whole-vehicle thefts to manipulating the key fob’s signal. That share was 13% in 2018-19 and reached 58% by 2023-24 before easing to 47% the following year. Set against a fleet in which the Home Office estimates more than one in four vehicles carry vulnerable keyless entry, the annual rate works out to roughly 0.65% of keyless cars, or about 1 in 13 over a twelve-year ownership life. That places relay theft above the lifetime odds of a stroke and well above the all-method US vehicle-theft figure, though still an order of magnitude below the lifetime chance of a home burglary.

The mechanism is what makes the number unusual. A pair of operators with a signal repeater stand one near the house and one by the car; the device extends the fob’s range so the car believes its key is present, and the whole sequence runs in under a minute with no forced entry and no alarm. ADAC’s testing in Germany found the technique defeated the overwhelming majority of keyless models, 230 of 237 in one run, across every price tier. The vulnerability is in the design of passive entry itself, not in a single manufacturer’s mistake, which is why the UK figure has climbed in step with the spread of keyless cars rather than tracking any one model.

The estimate is a UK keyless-owner number and travels poorly. In the US, the 2022-2024 theft surge ran on the Kia and Hyundai ignition exploit, a physical-key vector, and neither NICB nor the FBI breaks theft out by relay method, so the American figure is far lower and effectively unmeasured. Within the subgroup the spread is also wide: the survey data are victim-reported, owners often cannot say how their car went, and the year-to-year method share swings by ten points. A late-model car with a motion-sensing or ultra-wideband fob that ignores an amplified signal sits at the low end of the band; an older keyless car left on a driveway with the fob by the front door sits at the high end. The band from 1 in 33 to 1 in 7 reflects that the headline is a moving target, not a settled rate.

About 0.65% of keyless UK vehicles are taken electronically each year, which compounds to roughly 1 in 13 over a typical 12 years of ownership. Far from the rare gadget-crime it sounds like.

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] Office for National Statistics — Crime in England and Wales: year ending March 2025
    Crime in England and Wales: year ending March 2025
    Statistic
    Police recorded vehicle offences fell 8% to 350,070 in the year ending March 2025
    Excerpt
    “Police recorded vehicle offences decreased by 8% (to 350,070 offences) during the same period.”
    Source data from
    2025-07-24
    Accessed
    2026-06-13
    Calculation
    Establishes the scale and direction of UK vehicle crime from the authoritative national statistician. 'Vehicle offences' is broader than theft of a vehicle (it includes theft from vehicles and interference), so this figure is used to anchor order of magnitude, not as the theft numerator directly. The theft-of-vehicle subtotal (~120,000-136,000/yr) is taken from RUSI and secondary ONS summaries.
    Independence
    ONS police-recorded crime is independent of the insurer (Tracker, ABI) and think-tank (RUSI) sources used elsewhere in this entry.
  2. [2] Royal United Services Institute (RUSI) — Combatting Vehicle Theft in the UK: Strategies Against Organised Crime
    Combatting Vehicle Theft in the UK: Strategies Against Organised Crime
    Statistic
    Over 80% increase in vehicles stolen in England and Wales from 2013 to 2023; RUSI identifies relay attacks and CAN-injection as primary methods
    Excerpt
    “an increase of over 80% in the number of vehicles stolen in England and Wales from 2013 to 2023”
    Source data from
    2025-06-01
    Accessed
    2026-06-13
    Calculation
    RUSI's June 2025 work documents the reversal of two decades of declining UK vehicle theft and identifies relay/signal-amplification and CAN-injection as the lead methods. The RUSI report itself frames keyless attacks as a primary method; the skeptical reading (that the evidence for the extent of keyless taking is weak) comes from an independent commentary, not from RUSI. The total-thefts figure of 136,396 for 2022-23 and the rate of 4.42 per 1,000 cars are cited in secondary summaries of the RUSI paper and were not confirmed on a RUSI-hosted page, so they are treated as approximate in the normalization.
  3. [3] Police Life (reporting Tracker UK data) — Legislation Must Be Enforced As Keyless Thefts Soar — Tracker Reaches 15-Year High in Stolen Vehicle Recovery
    Legislation Must Be Enforced As Keyless Thefts Soar — Tracker Reaches 15-Year High in Stolen Vehicle Recovery
    Statistic
    93% of vehicles recovered by Tracker were taken without the keys; over £35m of vehicles recovered Jan-Oct 2025, a 15-year high
    Excerpt
    “93% of the vehicles recovered by Tracker, the stolen vehicle recovery (SVR) expert, were taken without the keys”
    Source data from
    2025-11-29
    Accessed
    2026-06-13
    Calculation
    Tracker's recovery data confirm that keyless/electronic methods dominate UK whole-vehicle theft. 'Without the keys' is broader than relay specifically (it also captures CAN-injection and cloning), so it supports the electronic-theft category that frames this entry rather than isolating the relay share. Tracker recoveries are a biased sample (only tracked, mostly higher-value vehicles), so the 93% is an upper-bound indicator of the keyless share, not the population rate.
    Independence
    Tracker is a commercial recovery firm; figure is corroborated directionally by the ONS CSEW method-share and is independent of the ONS and RUSI sources.
  4. [4] Nation.Cymru (analysis of ONS data by RTA Law) — Car key hacking cases quadruple in Wales and England
    Car key hacking cases quadruple in Wales and England
    Statistic
    Share of car thefts via key-fob signal manipulation rose from 13% (Apr 2018-Mar 2019) to 58% (Apr 2023-Mar 2024) per ONS CSEW
    Excerpt
    “from Apr 2018 to Mar 2019, only 13% of thefts were committed this way – but this skyrocketed to 58% from Apr 2023 to Mar 2024”
    Source data from
    2025-01-20
    Accessed
    2026-06-13
    Calculation
    Provides the electronic-theft method-share used in the numerator. The 58% (2023-24) figure is consistent with the 57.6% whole-vehicle figure that fell to 46.7% in 2024-25 in later CSEW tables; ~50% is used centrally. The underlying data are ONS Crime Survey (victim-reported), which is why method attribution carries error and the uncertainty band is wide.
    Independence
    Reports a third-party (RTA Law) analysis of the underlying ONS CSEW dataset; the trend is the ONS survey's, not the news outlet's.
  5. [5] Auto Express (reporting ADAC / Which? testing) — Almost all keyless car systems vulnerable to relay attacks
    Almost all keyless car systems vulnerable to relay attacks
    Statistic
    Of 237 keyless car models ADAC tested, 230 were vulnerable to relay attacks; only 3 (all Jaguar Land Rover) fully resisted
    Excerpt
    “230 were vulnerable to relay attacks ... Only 3 models achieved full resistance to keyless attacks (all Jaguar Land Rover vehicles)”
    Source data from
    2024-01-01
    Accessed
    2026-06-13
    Calculation
    Supports the EU/Europe regional row: relay vulnerability is near-universal across the keyless fleet, independent of brand tier. ADAC's own time-series shows slow improvement (e.g. 44 of 616 models protected by August 2023), but the protected share has stayed in the single-digit percentages. This is a vulnerability count, not a theft rate, and is used qualitatively in the regional breakdown, not in the numerator. The 2024 date is approximate to the Auto Express report; ADAC updates the test continuously.
    Independence
    ADAC (German motoring club) testing, reported via Auto Express and corroborated by Which?; independent of the UK crime statistics.

443 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 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 Job loss & depression — 1 in 3.7 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 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 Child head lice — 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 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 Career obsolescence — 1 in 2.9 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 1.8 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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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