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Perceived fear vs. actual probability

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

Lifetime probability

~1 in 1,000,000

or less lifetime (US adult)

0.0001% lifetime chance

Most people overestimate this.

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

Food · reviewed 2026-05-30

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

Evidence quality 4.5/5

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
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.5/5
Source Government statistic · Food Safety Magazine (reporting USDA PDP 2023 Annual Summary)
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 10,000 1 in 2,000,000

● your factors — click this risk ▾ to reveal

  1. Your factors
A single muted green apple on a pale grey background, flat vector illustration.

Perceived

Pesticide residue on fruits and vegetables is one of the most widely cited food-safety anxieties in the US. The Environmental Working Group's annual "Dirty Dozen" list reliably generates headlines and drives billions of dollars in organic purchasing decisions. Surveys consistently find that a majority of US adults believe pesticide residues on conventional produce pose a meaningful health risk, with many assuming that eating non-organic strawberries or apples carries a real chance of cancer or chronic illness.

Rough estimate: 46% of US adults rank pesticide residues among their top-3 food safety concerns

Source: International Food Information Council (IFIC) (2025) — IFIC 2025 Food & Health Survey — 46% of US adults rank pesticides and pesticide residues as a top-3 food safety concern

Actual

~99% of US produce samples below EPA tolerances; typical exposures >1,000x below reference doses

US adults consuming conventional produce

Show derivation

No published epidemiological cohort has found a statistically significant increase in cancer or chronic disease attributable specifically to dietary pesticide residues at levels found on US commercial produce. Winter & Katz (2011) showed that actual dietary exposures from the highest-residue commodities are typically 1,000-10,000x below EPA chronic reference doses (RfDs), which themselves incorporate 100-1,000x safety factors below no-observed-adverse-effect levels in animal studies. The USDA Pesticide Data Program (2023) found >99% of samples below EPA tolerances. Given this margin, any attributable lifetime risk to a typical US adult consumer is not statistically distinguishable from zero in any existing data. The 1-in-1,000,000 figure is a conservative placeholder acknowledging theoretical non-zero risk; the true figure could be much lower (effectively zero) or modestly higher if future research identifies low-dose effects not currently captured. The uncertainty band reflects this epistemic gap rather than measured variability.

Caveats: This entry addresses health harm from dietary pesticide residues on commercially…

This entry addresses health harm from dietary pesticide residues on commercially available produce consumed at normal levels by US adults. It does not cover occupational exposure (farm workers, pesticide applicators), environmental or ecological effects of pesticide use, acute poisoning from misuse, or endocrine-disruption hypotheses at very low doses which remain an active area of research without consensus on population-level health impact. The normalized probability is a conservative placeholder because the true attributable risk has not been isolated in any published cohort — it may be effectively zero. The wide uncertainty band reflects genuine scientific uncertainty about low-dose chronic effects, not measured variability in a known distribution. The 1-in-1,000,000 figure is a conservative placeholder; no epidemiological study has measured attributable mortality from regulatory-compliant pesticide residues. The true figure may be effectively zero.

Related risks

Other risks on similar themes — for exploring related fears.

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Glyphosate & cancer

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Fish mercury

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Plastic container leaching

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Decisions this risk informs

Choices that turn on this risk — how people weigh the trade-off.

Compare to:

The gap between perception and reality on pesticide residues is one of the largest in the catalog. Winter and Katz’s 2011 analysis in the Journal of Toxicology found that dietary exposures from even the highest-residue produce — the very items on EWG’s “Dirty Dozen” list — were more than 1,000 times below EPA chronic reference doses in over 90% of pesticide-commodity comparisons. The worst pairing they found still had a safety margin of roughly 50x, and reference doses themselves already incorporate 100-1,000x safety factors below levels that cause no observable effects in animal studies. The USDA’s Pesticide Data Program, testing nearly 10,000 samples in 2023, found over 99% compliant with EPA tolerances, with 39% showing no detectable residues at all.

What makes this fear interesting is not the toxicology but the economics. The “Dirty Dozen” list, published annually with no risk-assessment methodology and explicitly disclaimed as not based on health risk, drives billions of dollars in organic purchasing and measurably discourages low-income consumers from buying fresh produce at all — a well-documented substitution effect that almost certainly causes more dietary harm than the residues it warns about. No published epidemiological cohort has found a statistically significant increase in cancer or chronic disease attributable to dietary pesticide residues at the levels present on US commercial produce. The attributable risk, if it exists, is not distinguishable from zero in any existing data.

The headline number does not apply uniformly. Occupational farm workers who mix, load, and apply pesticides face genuinely elevated exposures through dermal and inhalation routes that dwarf anything a consumer encounters on a washed strawberry. Children under six have higher per-kilogram food intake and developing metabolic systems, though EPA’s tolerance-setting process explicitly accounts for this with additional safety factors. And produce imported from countries with less stringent enforcement shows higher violation rates — FDA’s 2023 data found 13.5% of import samples violative versus 2.8% domestic — though “violative” still does not mean “harmful,” given the safety margins built into tolerance levels.

15% of US adults actively avoid organic foods, treating the premium as not worth it. On the other side, 46% rank pesticide residues among their top-3 food safety concerns. Both figures are stance proxies, not retrospective regret.

Read more → ⇋ regret

The probability of health harm from pesticide residues on conventionally grown produce is roughly 1 in 1,000,000. Residues detected are typically 100-1,000x below safety thresholds. The organic premium buys peace of mind, not safety.

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] Journal of Toxicology / Winter & Katz — Dietary Exposure to Pesticide Residues from Commodities Alleged to Contain the Highest Contamination Levels
    Dietary Exposure to Pesticide Residues from Commodities Alleged to Contain the Highest Contamination Levels
    Statistic
    Exposures from highest-residue produce are >1,000x below chronic reference doses in >90% of pesticide-commodity comparisons
    Excerpt
    “"All pesticide exposure estimates were well below established chronic reference doses (RfDs). The RfDs were more than 1000 times higher than the exposure estimates in more than 90 percent of the comparisons." ”
    Source data from
    2011-10-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Winter & Katz analyzed the 10 commodities on EWG's 2010 Dirty Dozen list and computed dietary exposure estimates using USDA PDP residue data and FDA consumption data. The worst-case pairing (methamidophos on bell peppers) still had an RfD 49.5x the exposure estimate. At 0.01% of the RfD, exposure is one million times lower than the no-observed-adverse-effect level. This paper directly addresses the gap between perceived and actual dietary pesticide risk from the commodities consumers worry about most.
    Independence
    Winter & Katz is an independent academic analysis of USDA PDP data; uses the same underlying residue measurements but applies a distinct risk-assessment methodology (margin-of-exposure approach) that is independent of USDA's standard reporting.
  2. [2] Food Safety Magazine (reporting USDA PDP 2023 Annual Summary) — USDA Testing for 2023 Shows 99 Percent of Foods Do Not Exceed Pesticide Residue Tolerances
    USDA Testing for 2023 Shows 99 Percent of Foods Do Not Exceed Pesticide Residue Tolerances
    Statistic
    >99% of 9,832 samples compliant with EPA tolerances; 38.8% had no detectable residues
    Excerpt
    “"More than 99 percent of sampled products to be compliant with pesticide residue tolerances." ”
    Source data from
    2024-11-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    The USDA PDP tests ~10,000 food samples per year for hundreds of pesticide analytes. In 2023, 9,832 samples were tested; 240 samples (2.4%) had residues exceeding EPA maximum residue limits or contained residues with no established tolerance. 38.8% of all samples had no detectable residues at all. Exceeding an EPA tolerance does not equate to health harm — tolerances are set with 100-1,000x safety factors — but the >99% compliance rate confirms that the food supply operates well within established safety margins. Used alongside Winter & Katz to corroborate the negligible-risk conclusion.
    Independence
    The USDA PDP is the same upstream residue database used by Winter & Katz 2011 for their exposure calculations. Treat as partially dependent — PDP provides the raw residue data, Winter & Katz provide the exposure-to-RfD comparison.
  3. [3] Environmental Health Perspectives / Lu et al. — Organic Diets Significantly Lower Children's Dietary Exposure to Organophosphorus Pesticides
    Organic Diets Significantly Lower Children's Dietary Exposure to Organophosphorus Pesticides
    Statistic
    Switching 23 elementary school-age children from conventional to organic diets reduced urinary organophosphate metabolites to non-detectable levels within days
    Excerpt
    “"We used a novel study design to provide a convincing demonstration of the ability of organic diets to reduce children's OP pesticide exposure and the health risks that may be associated with these exposures." ”
    Source data from
    2006-02-01
    Accessed
    2026-05-30 · archived copy
    Calculation
    Lu et al. measured urinary dimethyl and dimethylthio metabolites of malathion and chlorpyrifos in 23 children aged 3-11 over 15 days: 3 days conventional, 5 days organic, 7 days conventional. Median metabolite concentrations dropped to non- detectable within ~24 hours of the organic-diet switch and rebounded within ~36 hours of returning to conventional food. This anchors both the kid-subgroup multiplier (children carry higher per-kg dietary exposure than adults) and the organic-diet multiplier (the exposure delta is real and immediate; the *health* delta at these exposure levels remains undocumented in any cohort outcome).
    Independence
    Lu 2006 is a controlled biomarker intervention — methodologically independent from Winter & Katz (dietary modeling) and USDA PDP (residue surveillance). It measures internal exposure, not external residue. The three sources together triangulate: Winter & Katz model expected exposure, PDP confirms residue levels are compliant, Lu confirms biomarker exposure tracks with diet choice. None of the three measure attributable health harm — that gap persists.

443 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Child swallows object (ER) — 1 in 91 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Homicide — 1 in 339 Police duty death — 1 in 313 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238

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