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Food · reviewed 2026-04-18

What are the odds that eating fish regularly will harm you from mercury exposure?

Evidence quality 4.88/5

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
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1,695

0.06% lifetime chance

Most people overestimate this.

range 1 in 10,000,000 to 1 in 200

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 85 1 in 16,949

● your factors — click this risk ▾ to reveal

≈ As likely as

A single muted silver-blue fish on a pale grey surface, flat vector illustration.

Perceived

Mercury in fish is one of the most durable food-safety anxieties in the US. The 2004 FDA/EPA joint advisory warning pregnant women about methylmercury landed hard in public consciousness and never fully left. Surveys find that a substantial share of US adults — particularly women of childbearing age — avoid or limit fish consumption specifically because of mercury fears. The irony is well documented: the advisory itself noted that most commercial fish species are low-mercury, but the takeaway that stuck was "fish = mercury = danger." Consumers routinely overestimate the risk from salmon, shrimp, and canned light tuna while underestimating the cardiovascular and neurodevelopmental benefits of eating more fish.

Rough estimate: 41% of US adults rank heavy metals in food among their top-3 food safety concerns

Source: International Food Information Council (IFIC) (2025) — IFIC 2025 Food & Health Survey — 41% of US adults rank heavy metals in food as a top-3 food safety concern; mercury in fish is the most prominent heavy-metal food-safety issue

Actual

~1 in 100,000 per year (attributable clinical harm, typical US fish consumer)

US adults consuming typical commercial fish species

Show derivation

FDA mercury monitoring data shows that the species comprising >90% of US seafood consumption (shrimp, salmon, canned light tuna, tilapia, pollock, cod, catfish, crab, clams, pangasius) have mean mercury concentrations of 0.01-0.12 ppm, well below the EPA reference dose of 0.1 ug/kg/day for a 70 kg adult eating two servings per week. Clinical methylmercury toxicity at dietary exposure levels is essentially undocumented in the general US adult population eating commercial seafood. The 1-in-100,000 per-year native figure is a conservative upper bound acknowledging theoretical risk from cumulative low-level exposure; the 59-year lifetime conversion yields ~1 in 1,700. The wide uncertainty band reflects the gap between "no observed clinical harm at typical exposures" and the precautionary possibility that subtle neurocognitive effects exist below current detection thresholds. Mozaffarian & Rimm (2006) concluded that the net health effect of fish consumption is overwhelmingly positive — avoiding fish to dodge mercury is, for most people, the riskier choice.

Caveats: This entry addresses health harm from methylmercury in commercially available se…

This entry addresses health harm from methylmercury in commercially available seafood consumed at typical levels by US adults. It does not cover occupational mercury exposure (dental amalgam workers, artisanal gold miners), elemental mercury vapor inhalation, or ethylmercury (thimerosal in vaccines, a distinct compound with different pharmacokinetics). The normalized probability is a conservative upper bound: no epidemiological study has documented clinical methylmercury toxicity in US adults from commercial seafood consumption at recommended levels. The fear is classified as overrated for typical fish consumers but is genuinely calibrated for the narrow subgroup of pregnant women consuming high-mercury predator species frequently. The net health effect of moderate fish consumption (1-2 servings/week of low-mercury species) is strongly positive; the risk of under-consumption likely exceeds the risk of mercury exposure for most adults.

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
Typical US fish consumer (salmon, shrimp, canned light tuna) 1 in 10,000 Mercury intake stays well below EPA reference dose. No documented clinical methylmercury toxicity in this population from dietary fish.
Sushi-heavy diet (frequent yellowfin/ahi tuna) 1 in 500 Regular consumption of higher-mercury tuna species increases exposure but documented clinical harm remains rare. Blood mercury levels may approach or exceed EPA reference levels.
Pregnancy + high-mercury species (swordfish, shark, king mackerel) 1 in 100 The one population where mercury caution is genuinely warranted. Fetal neurodevelopment is more sensitive to methylmercury than adult physiology. The FDA/EPA advisory specifically targets this subgroup.
Subsistence/sport fishers (local freshwater catch) 1 in 200 Locally caught fish from contaminated waterways (Great Lakes, certain rivers) can have mercury levels significantly higher than commercial seafood. State fish consumption advisories apply.

Risks at similar odds

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

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Food poisoning (US)

What are the odds of dying from food poisoning?

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Pesticide residue

What are the odds that pesticide residue on conventional produce will harm your health?

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Fish bone injury

What are the odds of choking or serious injury from a fish bone?

Compare to:

The data on fish and mercury is unusually clear: for the species that make up the vast majority of US seafood consumption, methylmercury levels are far below any harm threshold. FDA monitoring shows that shrimp, salmon, canned light tuna, tilapia, pollock, and cod all contain mercury at 0.01-0.12 ppm, well under the concentrations that would approach the EPA reference dose even at two to three servings per week. Mozaffarian and Rimm’s 2006 JAMA review found that modest fish consumption reduces coronary death risk by 36% and total mortality by 17%, benefits that overwhelm any plausible mercury harm for adults eating typical commercial species. The lifetime risk estimate of roughly 1 in 1,700 is a conservative placeholder; no clinical methylmercury toxicity from commercial seafood has been documented in the general US adult population.

The interesting dimension is the harm caused by the fear itself. The 2004 FDA/EPA advisory, intended to steer pregnant women away from a handful of high-mercury predator species, instead depressed fish consumption across the board. Oken and Bellinger’s 2012 review of prospective cohorts found that higher maternal fish intake was associated with better child neurodevelopment, provided mercury exposure remained moderate. The folk version of the warning collapsed a species-specific, pregnancy-specific precaution into a blanket “fish is dangerous” heuristic, and the resulting under-consumption of omega-3-rich seafood is itself a public health cost that likely exceeds any mercury-attributable harm.

The headline number does not hold uniformly. Pregnant women eating swordfish, shark, or king mackerel weekly face a genuinely elevated risk to fetal neurodevelopment; for that subgroup, the precaution is warranted, not overblown. Subsistence and sport fishers eating locally caught freshwater fish from contaminated watersheds can encounter mercury levels far above commercial norms. And heavy consumers of bigeye tuna or ahi at sushi restaurants several times per week may push blood mercury toward or above EPA reference levels. For everyone else, the arithmetic is straightforward: the net health effect of eating more fish, not less, is positive by a wide margin.

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] US Food and Drug Administration / US Environmental Protection Agency — Technical Information on Development of FDA/EPA Advice about Eating Fish
    Technical Information on Development of FDA/EPA Advice about Eating Fish
    Statistic
    FDA/EPA classify commercial fish into Best Choices (≤0.15 µg/g mercury, 2-3 servings/week), Good Choices (0.15-0.46 µg/g, 1 serving/week), and Choices to Avoid (>0.46 µg/g)
    Excerpt
    “"Fish with an average mercury concentration less than or equal to 0.15 µg/g was placed in the 'Best Choices – eat 2 to 3 servings a week' category … Fish with an average mercury concentration greater than 0.15 µg/g up to 0.23 µg/g was placed in the 'Good Choices – eat 1 serving a week' category … Fish with an average mercury concentration greater than 0.46 µg/g was placed in the 'Choices to Avoid' category." ”
    Source data from
    2021-10-01
    Accessed
    2026-04-26 · archived copy
    Calculation
    The original consumer advice URL (fda.gov/food/consumers/advice-about-eating-fish) now returns 404; the technical information page remains available and contains the underlying mercury thresholds. The FDA/EPA advisory classifies commercial fish into three tiers by mercury concentration: Best Choices (≤0.15 µg/g, 2-3 servings/week), Good Choices (0.15-0.46 µg/g, 1 serving/week), and Choices to Avoid (>0.46 µg/g — shark, swordfish, king mackerel, tilefish, bigeye tuna). The species in "Best Choices" account for >90% of US seafood consumption by volume. At 2-3 servings/week of Best Choices fish, methylmercury intake stays well below the EPA reference dose (0.1 µg/kg/day), which itself incorporates a 10x safety factor below the no-observed-adverse-effect level.
    Independence
    FDA/EPA advisory is the primary US regulatory guidance on fish-mercury exposure, based on independent federal risk assessments and monitoring data, not derived from the Mozaffarian & Rimm or Oken & Bellinger academic analyses.
  2. [2] JAMA / Mozaffarian & Rimm — Fish Intake, Contaminants, and Human Health: Evaluating the Risks and the Benefits
    Fish Intake, Contaminants, and Human Health: Evaluating the Risks and the Benefits
    Statistic
    Modest fish consumption (1-2 servings/week) reduces coronary death risk by 36%; benefits far exceed methylmercury risks for all populations except possibly women of childbearing age consuming high-mercury species
    Excerpt
    “"For major health outcomes among adults, based on both the strength of the evidence and the potential magnitudes of effect, the benefits of fish intake exceed the potential risks. For women of childbearing age, the benefits of modest fish intake, excepting a few selected species, also outweigh risks." ”
    Source data from
    2006-10-18
    Accessed
    2026-04-18 · archived copy
    Calculation
    Mozaffarian & Rimm conducted a systematic review of fish consumption, omega-3 fatty acids, and contaminant exposure. They found that 1-2 servings/week of fish reduced coronary heart disease mortality by 36% (RR 0.64, 95% CI 0.46-0.89) and total mortality by 17%. The cardiovascular benefit alone dwarfs any plausible mercury harm at typical consumption levels. Their risk-benefit analysis concluded that avoiding fish because of mercury concerns is, for adults, a net-negative health decision. This framing directly supports the overrated myth classification.
    Independence
    JAMA systematic review by academic researchers using independent epidemiological data, not derived from FDA monitoring or the Oken & Bellinger cohort analyses.
  3. [3] Current Opinion in Pediatrics / Oken & Bellinger — Fish Consumption, Methylmercury and Child Neurodevelopment
    Fish Consumption, Methylmercury and Child Neurodevelopment
    Statistic
    Higher maternal fish intake associated with better child neurodevelopment when mercury exposure is accounted for; net effect of fish avoidance is harmful
    Excerpt
    “"Women should continue to consume fish during pregnancy, but should avoid fish most highly contaminated with mercury to gain the greatest possible benefit." ”
    Source data from
    2008-04-01
    Accessed
    2026-04-26 · archived copy
    Calculation
    Oken & Bellinger 2008 (PMID 18332715, DOI 10.1097/MOP.0b013e3282f5614c) reviewed prospective cohorts and found that the beneficial nutrients in fish (DHA, omega-3) improved neurodevelopmental outcomes when mercury exposure was low to moderate. The previous URL (PMC3672923) pointed to an erratum for an unrelated paper on persistent organic pollutants; the correct PMC ID is PMC2581505. The previous source_date of 2012-12-01 was wrong; the paper was published April 2008. For US consumers eating typical commercial species, the neurodevelopmental evidence favors more fish, not less.
    Independence
    Review of prospective cohort data (Avon, Project Viva, Seychelles, Faroe Islands), independent of the Mozaffarian & Rimm risk-benefit analysis and FDA regulatory 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