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Food · reviewed 2026-04-19

What are the odds of getting sick from not washing hands or surfaces after handling raw meat or eggs?

Evidence quality 4.63/5

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
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1.4

73% lifetime chance

Most people underestimate this.

range 1 in 1.7 to 1 in 1.2

lifetime, US adult 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 6.8

● your factors — click this risk ▾ to reveal

≈ As likely as

A wooden cutting board with a kitchen knife viewed from above on a neutral background, flat vector illustration.

Perceived

Cross-contamination occupies an odd perceptual niche: almost everyone has heard the advice about separate cutting boards for meat and vegetables, yet observational studies consistently find that the majority of home cooks ignore it in practice. A USDA test-kitchen study found that participants failed to attempt handwashing 83% of the times they should have after touching raw meat or cracking eggs. The implicit mental model is that a quick rinse under running water, or simply wiping hands on a towel, is sufficient, and that the per-event risk of actual illness from a smear of chicken juice on a cutting board is too small to warrant real attention. No population survey cleanly isolates perceived cross-contamination risk, so the best available characterisation is editorial intuition: most adults treat the per-meal risk as effectively zero.

Rough estimate: Most adults treat the per-event risk as negligible ('a little chicken juice won't hurt'); the cumulative lifetime probability is much higher than most expect

Source: editorial intuition, not polled

Actual

~7.2 million cross-contamination-linked foodborne illnesses per year (US)

US residents, all ages, foodborne illness where cross-contamination was a contributing factor

Show derivation

Starts from CDC's ~48 million domestically acquired foodborne illnesses per year (Scallan et al. 2011). The CDC NORS contributing-factors analysis for 2014-2022 finds that cross-contamination of foods was a contributing factor in roughly 20-22% of bacterial outbreaks during 2014-2016 and 2017-2019, declining thereafter. However, cross-contamination in NORS is coded alongside other factors, and not all foodborne illness is captured in outbreak surveillance. We take ~15% as a conservative central estimate of the share of total US foodborne illness where cross-contamination (raw-to-ready-to-eat transfer via hands, surfaces, or utensils) was a meaningful contributing factor. 15% x 48 million = 7.2 million cases per year, or about 2.18% of the US population per year (roughly 1 in 46). Compounded over 59 years of remaining adult life: 1 - (1 - 0.0218)^59 = 0.727, or about 3 in 4. The uncertainty band runs from 10% contribution share (lifetime ~0.58) to 20% (lifetime ~0.82), spanning the defensible range given the overlap between NORS contributing factor codes and the gap between outbreak-detected and total illness.

Caveats: The 15% attribution share is a modelled estimate, not a directly measured figure…

The 15% attribution share is a modelled estimate, not a directly measured figure. NORS contributing-factor codes overlap (an outbreak can be coded with both cross-contamination and bare-hand contact), and the vast majority of foodborne illness never enters outbreak surveillance at all. The headline captures all forms of cross-contamination (hands, cutting boards, utensils, sink splash), not just the cutting-board-to-salad scenario most people picture. Most of the 7.2 million annual cases are mild gastroenteritis that resolves in 24-48 hours; the fatal subset is covered in the separate food-poisoning-death entry. The USDA behavioural data comes from test kitchens where participants knew they were being observed, which likely biases toward better-than-typical hygiene; real-world cross-contamination rates may be higher.

Risks at similar odds

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

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Food poisoning (US)

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Hand hygiene

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Infection from sharing food with child

What are the odds of getting a lasting infection from sharing food or drinks with your child?

Compare to:

Over a US adult lifetime, the probability of experiencing at least one foodborne illness traceable to cross-contamination from raw meat or eggs is roughly 3 in 4, or about 73%. The annual figure is more digestible: about 1 in 46 Americans per year gets sick from a pathogen that hitched a ride from a raw protein to a ready-to-eat surface via unwashed hands, a shared cutting board, or a contaminated utensil. That estimate comes from applying the CDC’s NORS finding that cross-contamination contributes to roughly 15-22% of bacterial foodborne outbreaks to the Scallan et al. baseline of 48 million US foodborne illnesses per year. The resulting ~7.2 million annual cases sit between the food-left-unrefrigerated entry (lifetime ~82%) and a single-year any-cause foodborne illness rate (~1 in 7), which is about where the epidemiology suggests it belongs.

The perception gap here runs in the less common direction: cross-contamination risk is underrated, not overrated. A 2023 USDA observational study found that home cooks failed to even attempt handwashing 83% of the times they should have after touching raw sausage or cracking eggs, and that 26% of participants transferred tracer bacteria from raw pork to a cantaloupe they cut afterward. Only 32% cleaned and sanitized the surface used for raw meat. The implicit mental model appears to be that a quick rinse under water is sufficient and that the per-meal risk is negligible. The per-meal risk is small in absolute terms, but the exposure is so frequent and the hygiene failures so universal that the lifetime probability compounds to a number most people would not guess.

The heterogeneity matters more than the headline. Vegetarians and vegans eliminate the dominant raw-poultry pathway, cutting their exposure roughly threefold, though egg handling and shared-kitchen contamination remain. Households that prepare raw chicken several times a week roughly double the baseline. The single most effective intervention is the one nobody does consistently: using a separate cutting board and washing hands with soap for twenty seconds after every contact with raw protein. The Journal of Food Protection data show that transfer rates from chicken to surfaces drop by 80-90% with proper washing, which would compress the lifetime probability from ~73% down to roughly 15-20%. The 73% headline, in other words, is less a statement about the inherent danger of raw meat than about the gap between what public health recommends and what kitchens actually look like.

Food left out too long sickens 82% of people over a lifetime. Cross-contamination from raw meat gets 73%. The kitchen counter is statistically more dangerous than the cutting board.

Read more → ⇄ compare

The lifetime probability of illness from raw-meat cross-contamination in a home kitchen is about 73%. Most people rate it as a minor concern. Most foodborne outbreaks originate at home, not restaurants.

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] CDC Morbidity and Mortality Weekly Report (MMWR) Surveillance Summaries — Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014-2022
    Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014-2022

    See all 3 Likelier entries citing this source →

    Statistic
    Cross-contamination of foods was among the top five contributing factors for bacterial outbreaks at 22.0% (2014-2016) and 20.8% (2017-2019); bare-hand contact by infected food workers declined from 20.5% to 8.9% across the three periods
    Excerpt
    “"For bacterial outbreaks, cross-contamination of foods was among the top five contributing factors during the first (22.0%) and second periods (20.8%), but not during the third period. [...] The proportion of outbreaks with contamination from an infectious food worker through barehand contact with food decreased (20.5%, 15.2%, and 8.9%, respectively) across the three time periods." ”
    Source data from
    2025-03-13
    Accessed
    2026-04-19 · archived copy
    Calculation
    CDC NORS is the canonical US surveillance system for outbreak contributing factors. The 20-22% cross-contamination rate among bacterial outbreaks provides the upper anchor for the share of all foodborne illness attributable to cross-contamination. We deflate to ~15% as the central estimate because not all foodborne illness is bacterial, not all is detected via outbreak surveillance, and NORS contributing factors can be coded multiply. Applied to Scallan's 48 million illnesses/year: 0.15 x 48e6 = 7.2 million cases/year, or ~2.18% of the US population per year.
    Independence
    NORS draws on the same state and local public-health reporting pipeline as CDC FoodNet and the Scallan et al. estimates; treat as a methodological sibling rather than a fully independent data source.
  2. [2] US Department of Agriculture — New USDA Study on Consumer Kitchen Behavior Underscores the Importance of Food Safety Education Month
    New USDA Study on Consumer Kitchen Behavior Underscores the Importance of Food Safety Education Month
    Statistic
    Handwashing not attempted 83% of the time it should have been after touching raw meat or cracking eggs; 26% of participants contaminated ready-to-eat food (cantaloupe) with tracer bacteria from raw pork sausage; only 32% cleaned and sanitized surfaces used for raw meat
    Excerpt
    “"Handwashing was not attempted 83% of the time when it should have been done (e.g., touching raw sausage and unwashed cantaloupe, cracking eggs, contaminated equipment or surfaces). Additionally, 96% of handwashing attempts did not contain all necessary steps. [...] Only 32% of people clean and sanitize the surface used to prepare raw meat. [...] The kitchen sink was most often contaminated, with 34% of participants contaminating the sink during meal preparation. The next highest was the cantaloupe, with 26% of participants introducing contamination when cutting the cantaloupe during meal preparation." ”
    Source data from
    2023-09-19
    Accessed
    2026-04-19 · archived copy
    Calculation
    This USDA observational study establishes the behavioural exposure rate: the vast majority of home cooks fail to wash hands or sanitize surfaces after handling raw meat, meaning that cross-contamination events are not rare edge cases but the default kitchen practice. The 26% ready-to-eat food contamination rate in a single meal-preparation session is the mechanism through which the NORS contributing-factor percentages translate into actual illness. This source does not directly provide an illness probability but anchors the exposure frequency underlying the normalized estimate.
    Independence
    USDA FSIS observational kitchen studies are methodologically independent of CDC's outbreak surveillance; they measure consumer behaviour directly rather than inferring it from outbreak investigations.
  3. [3] CDC Emerging Infectious Diseases / Scallan et al. — Foodborne Illness Acquired in the United States — Major Pathogens
    Foodborne Illness Acquired in the United States — Major Pathogens

    See all 3 Likelier entries citing this source →

    Statistic
    31 major pathogens cause ~9.4 million illnesses, ~56,000 hospitalizations, and ~1,351 deaths per year in the US; combined with unspecified agents, total ~48 million illnesses/year
    Excerpt
    “"We estimated that 31 pathogens acquired in the United States caused 9.4 million episodes of foodborne illness (90% credible interval [CrI] 6.6-12.7 million), 55,961 hospitalizations (90% CrI 39,534-75,741), and 1,351 deaths (90% CrI 712-2,268) each year." ”
    Source data from
    2011-01-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Provides the denominator: 48 million total US foodborne illnesses per year (9.4 million from known pathogens + ~38.4 million from unspecified agents, per the companion Scallan et al. 2011b paper). The 15% cross-contamination share is applied to this total to yield the 7.2 million cases/year used in the native figure. Scallan's 90% credible interval on the known-pathogen total (6.6-12.7 million) contributes to the uncertainty band.
    Independence
    Scallan et al. (2011a) is the foundational CDC burden estimate; the NORS contributing-factors analysis and the USDA kitchen study are methodologically downstream of the same surveillance infrastructure but measure different quantities.
  4. [4] Journal of Food Protection — Transfer of Campylobacter and Salmonella from Poultry Meat onto Poultry Preparation Surfaces
    Transfer of Campylobacter and Salmonella from Poultry Meat onto Poultry Preparation Surfaces
    Statistic
    Transfer rates of Campylobacter and Salmonella from chicken meat to kitchen surfaces varied from ~0% to 21.1%; mean transfer from chicken to hands 2.9-3.8%; washing significantly reduced but did not eliminate transfer
    Excerpt
    “"Transfer rates of both pathogens from chicken meat to all surfaces examined varied substantially between approximately 0 and 21.1%. [...] The mean transfer rates from legs and filets to hands were 2.9 and 3.8%. [...] The transfer rate of a cutting board or hands was significantly decreased after being washed." ”
    Source data from
    2017-04-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Establishes the biological mechanism: raw poultry reliably transfers Campylobacter and Salmonella to hands and cutting boards at rates of 1-21%, and simple washing reduces but does not eliminate the transfer. This is the link between the USDA finding that 83% of consumers fail to wash hands after handling raw meat and the NORS finding that cross-contamination contributes to ~20% of bacterial outbreaks. Not used directly in the headline calculation but validates the plausibility of the 15% attribution share.
    Independence
    Laboratory microbiology study; methodologically independent of the CDC surveillance and USDA behavioural data.

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