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Cancer · reviewed 2026-05-30

How much does dietary acrylamide from fried or baked starchy foods actually raise cancer risk?

Evidence quality 4.38/5

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
3/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 16,667

0.006% lifetime chance

Most people overestimate this.

range 1 in 1,000,000 to 1 in 1,000

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 4,167 1 in 55,556

● your factors — click this risk ▾ to reveal

≈ As likely as

A pile of golden-brown french fries on a clean white surface, flat vector illustration in muted tones.

Perceived

Acrylamide entered public consciousness in 2002, when Swedish researchers reported that high-temperature cooking of starchy foods (french fries, potato chips, coffee, bread crust) produces measurable acrylamide via the Maillard reaction between asparagine and reducing sugars. IARC subsequently classified acrylamide as Group 2A (probably carcinogenic to humans), based on strong rodent evidence. Consumer-warning regulations in California (Proposition 65) and California Acrylamide Litigation amplified the alarm. The result is a widespread perception that "browned" or "fried" carbohydrates carry a meaningful cancer risk, with consumer behavior surveys showing avoidance of toast, coffee, and french fries specifically on this basis.

Rough estimate: Many consumers treat browned/fried starchy foods as a meaningful cancer risk source

Source: editorial intuition, not polled

Actual

RR ~1.0 across most cancers; borderline RR 1.20 for kidney cancer in heaviest consumers

US adults consuming a typical Western diet (~0.4 μg/kg bw/day acrylamide intake)

Show derivation

The Pelucchi et al. 2015 updated meta-analysis (Int J Cancer, 14 cancer sites, dozens of cohort and case-control studies) concluded: "Dietary acrylamide is not related to the risk of most common cancers." The only borderline signals were kidney cancer (RR 1.20, 95% CI 1.00-1.45) and endometrial and ovarian cancer in never-smokers (RR 1.23 and 1.39 respectively). EFSA's 2015 Scientific Opinion computed Margins of Exposure (MOEs) of 425 for the average general-population intake against the neoplastic effects benchmark dose, flagging dietary acrylamide as a public-health concern in principle without quantifying attributable human cancer cases. The native rate of 1 in 10,000 lifetime attributable cases is computed from the borderline kidney-cancer signal: US baseline lifetime kidney cancer risk is approximately 2.1% (SEER); applying RR 1.20 to the upper-intake quartile gives an absolute increase of roughly 0.4 percentage points, but the population-average effect is much smaller because most adults are not in the top quartile. The lifetime figure of 6 in 100,000 is a conservative average-adult estimate; the high end of the uncertainty band captures the heaviest dietary exposure subgroup.

Caveats: Dietary acrylamide is genuinely genotoxic in rodents and IARC-classified as Grou…

Dietary acrylamide is genuinely genotoxic in rodents and IARC-classified as Group 2A (probably carcinogenic to humans). The translation to typical human dietary exposure is the contested step. The Pelucchi 2015 meta-analysis examined 14 cancer sites across dozens of cohorts and found no consistent association; only kidney cancer reached borderline significance in the highest-exposure quintile, with endometrial and ovarian signals emerging only in never-smokers. EFSA's MOE of 425 is a regulatory flag (below the 10,000 threshold typically used for genotoxic carcinogens) and motivates voluntary food-industry reductions, but EFSA does not quantify attributable human cancer cases. The normalized 6-in-100,000 estimate is a conservative population-average attribution; the heavy-consumer subgroup may experience risk closer to the high end of the uncertainty band. Tobacco smoke dominates total acrylamide exposure for smokers, and the dietary signal cannot be cleanly separated from smoking-related cancer in cohort data. Surveillance gaps: dietary acrylamide intake is hard to estimate from food-frequency questionnaires because acrylamide content varies dramatically with cooking time and temperature for the same food.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
US adult (typical Western diet, average acrylamide exposure) 1 in 16,667 Population-average attributable risk; well below the kidney-cancer borderline signal in Pelucchi 2015
Heavy-fried-food consumer (top dietary intake quartile) 1 in 2,500 Pelucchi 2015 top-quartile kidney cancer RR 1.20 applied to SEER baseline 2.1% gives ~0.4% absolute lifetime risk for kidney cancer specifically
Current smoker (cigarette acrylamide intake) 1 in 1,000 Tobacco smoke is the dominant acrylamide source for smokers, delivering 3-5x dietary intake; the cancer signal is dominated by other tobacco carcinogens

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Toddler choking

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Unsupervised infant choking

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Compare to:

The normalized lifetime attributable cancer risk from typical dietary acrylamide sits at roughly 6 in 100,000 — a conservative population-average estimate against a baseline US adult lifetime cancer risk from all causes of about 39.4%. The Pelucchi et al. 2015 updated meta-analysis examined 14 cancer sites across dozens of cohort and case-control studies and concluded that “dietary acrylamide is not related to the risk of most common cancers.” Only kidney cancer reached borderline statistical significance (RR 1.20, 95% CI 1.00-1.45) in the highest-intake quintile, with endometrial and ovarian signals appearing only in never-smokers. NCI’s position is the same: “A large number of epidemiologic studies in humans have found no consistent evidence that dietary acrylamide exposure is associated with the risk of any type of cancer.”

The gap between perception and evidence has a familiar shape. Acrylamide is unambiguously genotoxic in rodents at the doses used in carcinogenicity bioassays, and IARC classified it as Group 2A (probably carcinogenic) on that basis. EFSA’s 2015 Scientific Opinion computed a Margin of Exposure of 425 between typical adult intake and the neoplastic effects benchmark dose, which is below the 10,000 threshold EFSA uses to flag regulatory concern for genotoxic carcinogens. That flag motivated voluntary food-industry reductions (Codex Code of Practice, FDA action plan, EU benchmark levels) but does not translate to a quantified human cancer attribution. The translation is the missing step: rodent carcinogenesis at high doses does not consistently produce a population-level human cancer signal at typical dietary doses, and the cohorts agree on this.

Where the number doesn’t apply cleanly: tobacco smoke is the dominant acrylamide exposure source for smokers, delivering 3-5x dietary intake, and the attributable cancer effect is folded into the well-documented smoking-cancer signal. People eating french fries, chips, or heavily browned baked goods daily fall in the top dietary intake quartile and pick up the borderline kidney-cancer signal Pelucchi 2015 reported; the absolute lifetime increment for that subgroup is still small relative to baseline. Chronic kidney disease prolongs acrylamide and glycidamide retention at the same dietary intake. For most adults the meaningful cancer-prevention dietary levers remain weight, alcohol, fiber, and red-meat frequency, not whether the toast or coffee crossed into deep brown.

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] European Food Safety Authority — Acrylamide in food: EFSA position
    Acrylamide in food: EFSA position
    Statistic
    Acrylamide in food potentially increases cancer risk in all age groups; human evidence limited and inconsistent
    Excerpt
    “"Acrylamide in food potentially increases the risk of developing cancer for consumers in all age groups. Studies on laboratory animals have shown that exposure to acrylamide through the diet increased the likelihood of developing gene mutations and tumours in various organs. Studies on human subjects have provided limited and inconsistent evidence of increased risk of developing cancer." ”
    Source data from
    2015-06-04
    Accessed
    2026-05-30 · archived copy
    Calculation
    EFSA's 2015 Scientific Opinion (EFSA Journal 2015;13(6):4104) computed Margins of Exposure (MOE) of 425 for the average adult dietary intake against the neoplastic effects benchmark dose (BMDL10 = 0.17 mg/kg bw/day). MOE values below 10,000 are typically flagged by EFSA as a public-health concern for genotoxic carcinogens, which is why dietary acrylamide is listed as a regulatory priority despite the inconsistent human epidemiology. The position statement deliberately avoids quantifying attributable human cancer cases because the human evidence is too weak; the regulatory action is mitigation-oriented (reducing food levels), not risk-quantifying.
    Independence
    EFSA's evaluation is the European regulatory counterpart to FDA action plans. Both agencies synthesize the same underlying epidemiology (Mucci, Hogervorst, Pelucchi cohorts) but make independent policy judgments.
  2. [2] International Journal of Cancer / Pelucchi, Bosetti, Galeone, La Vecchia — Dietary acrylamide and cancer risk: an updated meta-analysis
    Dietary acrylamide and cancer risk: an updated meta-analysis
    Statistic
    Dietary acrylamide not associated with risk of most cancers; borderline RR 1.20 (95% CI 1.00-1.45) for kidney cancer
    Excerpt
    “"Dietary acrylamide is not related to the risk of most common cancers. A modest association for kidney cancer, and for endometrial and ovarian cancers in never smokers only, cannot be excluded." ”
    Source data from
    2015-06-15
    Accessed
    2026-05-30 · archived copy
    Calculation
    Pelucchi 2015 covered 14 cancer sites across dozens of cohort and case-control studies. The pooled relative risks clustered near 1.0 for nearly every cancer examined. Only kidney cancer reached borderline significance (RR 1.20, 95% CI 1.00-1.45) for the highest dietary acrylamide quintile vs the lowest. Endometrial and ovarian cancers showed borderline associations in the never-smoker subgroup only. This is the load- bearing source for framing dietary acrylamide as low-risk at typical intake: the epidemiology examined the largest cancer sites and found no consistent signal. The EFSA Margin of Exposure calculation is consistent with this: the MOE of 425 is a regulatory flag, not a measured human cancer attribution.
    Independence
    Pelucchi et al. 2015 updates their 2011 review (Ann Oncol 22:1487-1499, PMID 21239401) with additional prospective cohorts. Methodologically independent from EFSA's regulatory toxicology evaluation.
  3. [3] National Cancer Institute (NIH) — Acrylamide and Cancer Risk
    Acrylamide and Cancer Risk
    Statistic
    Large number of epidemiologic studies in humans found no consistent evidence that dietary acrylamide is associated with the risk of any type of cancer
    Excerpt
    “"A large number of epidemiologic studies (both case-control and cohort studies) in humans have found no consistent evidence that dietary acrylamide exposure is associated with the risk of any type of cancer." Acrylamide develops when "vegetables that contain the amino acid asparagine, such as potatoes, are heated to high temperatures in the presence of certain sugars." ”
    Source data from
    2017-12-05
    Accessed
    2026-05-30 · archived copy
    Calculation
    NCI's position is the US-side complement to EFSA's evaluation. NCI explicitly notes that the NTP classification (acrylamide is "reasonably anticipated to be a human carcinogen") is based primarily on rodent studies, not human evidence. The fact sheet states unambiguously that human epidemiology has not found a consistent dietary cancer link. This is the basis for treating cookware-derived acrylamide as a regulatory- precaution issue rather than a meaningful personal cancer risk at typical intake.
    Independence
    NCI synthesis is methodologically distinct from Pelucchi meta-analysis; NCI relies on the full body of NIH-AARP and other US cohort data plus international evidence compilations.

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