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Perceived fear vs. actual probability

What are the odds of getting Alzheimer's disease from cooking with aluminum pots or foil?

Lifetime probability

~1 in 170,000

0.0006% lifetime chance

Most people overestimate this.

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

Health · reviewed 2026-05-30
Evidence quality 4.25/5

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
3/5
D4 Uncertainty
3/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.25/5
Source Peer-reviewed study · Neuroscience Letters / Wang, Wei, Zeng, Liu, Du, Zhang
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 3,390 1 in 169,492

● your factors — click this risk ▾ to reveal

  1. Your factors
A single aluminum saucepan on a clean kitchen surface, flat vector illustration in muted tones.

Perceived

The intuition that aluminum cookware and foil contribute to Alzheimer's disease persists decades after the original hypothesis emerged. It traces to two real findings that were overgeneralized: dialysis encephalopathy in patients exposed to aluminum-contaminated dialysate in the 1970s, and elevated aluminum levels found in some Alzheimer's brain tissue. Both observations are real; neither establishes that dietary or cookware aluminum exposure causes Alzheimer's in the general population. Consumer behavior surveys consistently show that a meaningful fraction of households actively avoid aluminum cookware and foil specifically to lower perceived dementia risk, and "aluminum-free" labeling commands a price premium in cookware marketing.

Rough estimate: Many consumers treat aluminum cookware as a measurable Alzheimer's risk factor

Source: editorial intuition, not polled

Actual

~0 attributable Alzheimer's cases per 100,000 consumer-years of normal aluminum cookware use

US adults using uncoated aluminum pots, anodized aluminum cookware, or aluminum foil at normal cooking conditions

Show derivation

No epidemiological study has measured Alzheimer's disease incidence attributable to consumer aluminum cookware or foil use. The Wang 2016 meta-analysis (OR 1.71, 95% CI 1.35-2.18) covers chronic occupational and high-contamination exposure, not cookware. The Virk & Eslick 2015 meta-analysis of antacid use (a much higher dietary aluminum exposure than cookware) found OR 1.0 (95% CI 0.8-1.2) -- no association. WHO's Joint Expert Committee on Food Additives (JECFA) sets a Provisional Tolerable Weekly Intake of 2 mg Al/kg bodyweight; typical dietary intake including cookware is well below this threshold. The native rate of 1 in 10,000,000 per year is a conservative upper bound reflecting that (a) the antacid meta-analysis found no signal at dietary doses higher than cookware exposure, (b) no population-level cohort has detected attributable AD from cookware, and (c) the dialysis encephalopathy mechanism is acute toxicity via parenteral exposure, not chronic dietary exposure. Lifetime estimate: 1 - (1 - 1/10,000,000)^59 ≈ 5.9 x 10⁻⁶ ≈ 1 in 170,000. This is an upper-bound placeholder, not a measured value -- the true attributable risk from cookware specifically may be zero.

Caveats: This entry covers Alzheimer's disease risk specifically attributable to consumer…

This entry covers Alzheimer's disease risk specifically attributable to consumer use of aluminum cookware and foil at normal cooking conditions. It does not cover: (a) chronic occupational aluminum exposure in smelting, welding, or mining, where Wang 2016 found a modest population-level signal; (b) pre-1990 dialysis encephalopathy from contaminated dialysate, a real but now-eliminated parenteral exposure; or (c) familial early-onset AD where the Mold group has documented elevated brain aluminum, with causal direction unresolved. The normalized probability is a conservative upper bound, not a measured value. No epidemiological study has detected attributable AD from consumer cookware use, and the Virk & Eslick 2015 antacid meta-analysis -- examining oral aluminum doses much higher than cookware exposure -- found no signal. Surveillance gaps: chronic low-dose dietary aluminum is hard to isolate from background dietary variability and from occupational and pharmaceutical sources. The brain-aluminum findings in AD post-mortem tissue are real but their causal direction is contested.

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Compare to:

The normalized lifetime probability of getting Alzheimer’s from cooking with aluminum pots or foil sits at roughly 1 in 170,000 — a conservative upper bound, because no epidemiological study has actually detected attributable AD from consumer cookware use. The load-bearing evidence is the Virk & Eslick 2015 meta-analysis of aluminum-containing antacids: nine studies, 6,310 participants, pooled OR of 1.0 (95% CI 0.8-1.2). Antacid users ingest hundreds to thousands of milligrams of aluminum per day; cookware and foil contribute roughly 1-10 mg. If the higher dose shows no signal in a meta-analysis, the lower dose is not where the public-health story lives. Baseline lifetime AD risk for a US adult is about 11%; the cookware contribution, if any, is roughly four orders of magnitude smaller.

The hypothesis is not crazy in origin. Two real findings seeded it: dialysis encephalopathy in 1970s chronic-dialysis patients exposed to aluminum-contaminated dialysate (a parenteral, acute toxicity pathway that water-treatment reforms eliminated by the early 1990s), and elevated aluminum levels in some Alzheimer’s brain tissue at autopsy. The Mold group has documented the brain-aluminum finding repeatedly in familial AD donors, with aluminum co-located with amyloid-beta plaques. What remains unresolved is causal direction. Aluminum may accelerate amyloid deposition, or AD-associated blood-brain-barrier disruption may simply trap circulating aluminum as a downstream consequence. The Wang 2016 meta- analysis of chronic occupational exposure (smelters, welders, contaminated water) found a modest OR of 1.71, but those doses are orders of magnitude higher than anything a kitchen produces.

Where the number doesn’t apply cleanly: APOE ε4 carriers face roughly 3x lifetime AD risk per allele independent of any environmental exposure, which dominates personal risk calibration. Pre-1990 dialysis patients faced a genuine aluminum-mediated neurological syndrome that no longer exists in regulated healthcare. Occupational aluminum workers appear in the Wang meta-analysis as a population with elevated risk, though the absolute contribution is small relative to age and genetics. For everyone else, cooking acidic food in an uncoated aluminum pot adds a few extra milligrams of dietary aluminum to a body burden that’s already well within the WHO JECFA Provisional Tolerable Weekly Intake. The aluminum-cookware-AD link is the kind of plausible-sounding story that survives in popular culture long after the epidemiology has stopped supporting it.

The estimated lifetime risk attributable to normal aluminum cookware use is about 1 in 170,000 for a US adult. Decades of research have found no causal link between cookware aluminum and Alzheimer's disease.

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.

3/3 sources independently verified verbatim against the cited source

  1. [1] Neuroscience Letters / Wang, Wei, Zeng, Liu, Du, Zhang — Chronic exposure to aluminum and risk of Alzheimer's disease: A meta-analysis Verified
    Chronic exposure to aluminum and risk of Alzheimer's disease: A meta-analysis
    Statistic
    OR 1.71 (95% CI 1.35-2.18) for chronic aluminum exposure and Alzheimer's; 8 studies, 10,567 individuals
    Excerpt
    “"Individuals chronically exposed to Al were 71% more likely to develop AD (OR: 1.71, 95% CI, 1.35-2.18). Chronic Al exposure is associated with increased risk of AD." ”
    Source data from
    2016-01-12
    Accessed
    2026-05-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Wang et al. 2016 pooled 8 cohort and case-control studies covering chronic aluminum exposure. The exposure categories include occupational settings (aluminum smelters, welders), drinking water from high-aluminum watersheds, and contaminated industrial areas. None of the included studies isolate consumer cookware or foil as the exposure pathway. The 1.71 OR applies to the chronic-exposure umbrella; it does not translate to cookware-specific risk. The meta-analysis is the strongest available authoritative estimate of the general aluminum-AD association and is included to give the most generous reading of the literature. Even at face value, occupational chronic exposure doses are orders of magnitude higher than cookware-derived dietary intake.
    Independence
    Wang 2016 synthesizes studies from China, Europe, and North America with heterogeneous exposure definitions. Methodologically independent from Virk & Eslick 2015 below (different inclusion criteria, antacid focus vs general chronic exposure).
  2. [2] Journal of Alzheimer's Disease / Virk, Eslick — Brief Report: Meta-analysis of Antacid Use and Alzheimer's Disease Verified
    Brief Report: Meta-analysis of Antacid Use and Alzheimer's Disease
    Statistic
    OR 1.0 (95% CI 0.8-1.2) for antacid use and Alzheimer's risk; 7 case-control + 2 cohort studies, 6,310 participants
    Excerpt
    “"Regular antacid use was not associated with Alzheimer's disease. Case-control studies: odds ratio = 1.0; 95% confidence interval = 0.8, 1.2. Cohort studies: relative risk = 0.8; 95% confidence interval = 0.4, 1.8." ”
    Source data from
    2015-06-19
    Accessed
    2026-05-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Aluminum-containing antacids (Maalox, Mylanta, etc.) deliver oral aluminum doses several orders of magnitude higher than typical cookware-derived dietary aluminum. A high-dose antacid user consumes roughly 800-5,000 mg of aluminum hydroxide per day; cookware contributes 1-10 mg/day under normal conditions (foil and acidic foods at the upper end). The Virk & Eslick meta-analysis found no association at the much higher antacid exposure level, which constrains the plausible upper bound for the much lower cookware exposure. This is the load-bearing source for framing the cookware-AD link as unsupported by evidence: if the higher dietary aluminum dose shows no signal, the lower one is even less likely to.
    Independence
    Virk & Eslick used independent inclusion criteria from Wang 2016 (focused specifically on aluminum-containing antacids and pharmaceutical sources). Same Sydney research group published companion analyses on occupational aluminum (PMID 26247643, also null).
  3. [3] Journal of Alzheimer's Disease / Mold, Linhart, Gomez-Ramirez et al. — Aluminum and Amyloid-beta in Familial Alzheimer's Disease Verified
    Aluminum and Amyloid-beta in Familial Alzheimer's Disease
    Statistic
    Aluminum co-located with amyloid-beta plaques in brain tissue of familial AD donors; significantly higher Al levels than controls
    Excerpt
    “"We found significantly higher levels of aluminum in brain tissues in donors with familial Alzheimer's disease than in control tissues. Aluminum and amyloid-beta were co-located in senile plaques as well as vasculature, the latter resembling cerebral amyloid angiopathy." ”
    Source data from
    2020-01-21
    Accessed
    2026-05-30 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Mold et al. examined brain tissue from a Colombian cohort of familial Alzheimer's donors (carriers of the PSEN1 E280A mutation). The finding is real and reproducible across the Mold group's series (2020, 2021), but the causal direction is unresolved. Two interpretations remain in the literature: (a) aluminum exposure accelerates amyloid deposition, or (b) the disrupted blood-brain barrier and protein aggregation in AD cause aluminum to accumulate as a downstream consequence. Familial AD also starts decades before sporadic AD and the cohort is dominated by a single genetic mutation. The work does not establish that dietary or cookware aluminum drives sporadic AD in the general population. Included for caveat-completeness: the brain- aluminum evidence is the strongest argument against fully dismissing the hypothesis.
    Independence
    Mold et al. work is histopathology on post-mortem brain tissue, methodologically distinct from the epidemiologic exposure meta-analyses above. The Keele University group is the most prolific producer of brain-aluminum data; the underlying cohort is genetically distinct from Wang 2016 study populations.

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

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