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Food · reviewed 2026-04-19

What are the odds of getting sick from plastic food containers?

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
5/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5

Lifetime probability · lifetime, US adult

1 in 16,949

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 1,695 1 in 169,492

● your factors — click this risk ▾ to reveal

≈ As likely as

A single translucent plastic food container on a neutral surface, flat vector illustration in muted tones.

Perceived

Plastic food containers occupy a durable position in the hierarchy of kitchen anxieties. The core narrative is simple: chemicals leach from plastic into food, especially when heated, and those chemicals cause cancer, hormonal disruption, or fertility problems. BPA became the emblematic villain after a wave of 2008-era media coverage, and the subsequent "BPA-free" labeling campaign reinforced the idea that standard plastic containers were delivering a meaningful dose of something dangerous. CDC biomonitoring data showing detectable BPA in over 90% of Americans cemented the perception of universal, involuntary exposure. Surveys consistently find that a majority of US adults express concern about chemicals leaching from food packaging, and many report avoiding microwaving food in plastic containers specifically because of cancer or hormone fears.

Rough estimate: Most consumers treat plastic food containers as a moderate ongoing health threat

Source: editorial intuition, not polled

Actual

~1 per 1,000,000 US adults per year attributable illness from food-contact plastic leaching

US adults using standard food-grade plastic containers

Show derivation

No published epidemiological cohort has isolated a statistically significant increase in cancer, endocrine disease, or other illness attributable specifically to BPA or phthalate exposure from food-contact plastics at levels encountered in normal consumer use. CDC NHANES data (2003-2016) show >90% of US adults have detectable urinary BPA, confirming universal exposure, but detection is not disease. FDA's 2014 four-year review of over 300 studies concluded BPA is safe at current exposure levels. EFSA's 2023 re-evaluation lowered the TDI 20,000-fold to 0.2 ng/kg/day and concluded dietary exposure exceeds this new threshold — but the EFSA opinion is based on immune-cell changes in mice (Th17 shifts) extrapolated via benchmark dose modeling, not on observed human illness. The FDA-EFSA disagreement is unresolved. The 1-in-1,000,000 annual rate is a conservative placeholder reflecting that attributable human illness has not been measured; compounded over 59 adult-remaining years gives ~5.9e-5. The true figure could be effectively zero (if FDA is right) or modestly higher (if EFSA's low-dose immune effects translate to clinical disease). The wide uncertainty band reflects this regulatory divergence, not measured variability.

Caveats: This entry addresses illness risk from chemical leaching (BPA, phthalates, bisph…

This entry addresses illness risk from chemical leaching (BPA, phthalates, bisphenol analogues) from food-grade plastic containers during normal consumer use. It does not cover microplastics or nanoplastics, which are addressed in a separate entry (microplastics-health-harm). The FDA-EFSA disagreement on BPA safety is genuine and unresolved: FDA maintains current exposure is safe, EFSA says it is not. The normalized probability reflects this uncertainty with a wide band. The placeholder figure of ~1 in 17,000 lifetime is a modeling estimate, not a measured epidemiological finding — no cohort study has quantified attributable illness from food-contact plastic leaching in the general population.

Risks at similar odds

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

food

PLA bioplastic harm

What are the odds of getting sick from PLA bioplastic or "compostable" food packaging?

food

Food left out

What are the odds of getting food poisoning from eating food left out of the fridge?

cancer

Acrylamide & cancer

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

Compare to:

The gap between BPA anxiety and BPA evidence is wide, but the story is more complicated than either “perfectly safe” or “slow-motion poisoning.” CDC biomonitoring confirms that over 90% of Americans have detectable urinary BPA, a number that made headlines but says nothing about dose-response. FDA reviewed more than 300 studies over four years and concluded in 2014 that BPA is safe at current dietary exposure levels, a position it has not revised. EFSA, reviewing much of the same literature with different uncertainty factors, reached the opposite conclusion in April 2023: it lowered the tolerable daily intake 20,000-fold to 0.2 nanograms per kilogram of body weight per day, a threshold that essentially every human alive exceeds through diet alone. The EU subsequently banned BPA in food-contact materials in December 2024. The critical effect driving EFSA’s revision is a shift in Th17 immune cells in mouse spleen tissue — a measurable biological change, but not one that has been linked to clinical disease in any human cohort.

The “BPA-free” label, meanwhile, may be a case study in regrettable substitution. BPS and BPF, the most common replacements, show comparable estrogenic and anti-androgenic activity in laboratory assays. A 2024 Environmental Sciences Europe analysis of eleven bisphenol analogues found that most matched or exceeded BPA’s endocrine-disrupting profile in vitro. Washington State University researchers reported chromosomal abnormalities from BPS and BPF resembling those seen with BPA. Consumers who switched to “BPA-free” containers may have traded one poorly characterized exposure for another, while gaining a false sense of safety. The one behavioral change that unambiguously reduces leaching — using glass or stainless steel for food storage and reheating — does not require reading labels at all.

The single most-cited epidemiological finding, Bao et al. 2020 in JAMA Network Open, reported a hazard ratio of 1.49 for all-cause mortality in the highest versus lowest BPA tertile among NHANES participants. It is an observational study using a single spot urine measurement of a chemical with a six-hour half-life as a proxy for chronic exposure, in a population where higher BPA likely correlates with more processed food, less home cooking, and a constellation of lifestyle factors that independently predict mortality. No randomized trial or Mendelian randomization study has confirmed the association. The honest summary: universal exposure is real, regulatory agencies disagree on whether it matters, and no human cohort has measured attributable illness from food-contact plastic at population scale.

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 Environmental Protection Agency — Biomonitoring - Bisphenol A (BPA)
    Biomonitoring - Bisphenol A (BPA)
    Statistic
    92.6% of US residents aged 6+ had detectable urinary BPA in NHANES 2003-2004; median levels declined from 3 µg/L (2003-2004) to 1 µg/L (2015-2016)
    Excerpt
    “"Total BPA was detected in 92.6% of participants, with concentrations ranging from 0.4 to 149 ng/mL and a geometric mean of 2.6 ng/mL urine." ”
    Source data from
    2022-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    EPA's summary of CDC NHANES biomonitoring data confirms near-universal BPA exposure in the US population. The declining trend (geometric mean from 2.6 ng/mL in 2003-2004 to lower levels in 2015-2016) likely reflects voluntary industry phase-out of BPA from many consumer products. However, detection of a chemical in urine establishes exposure, not harm. The dose-response question — whether these exposure levels cause illness — is the crux of the FDA-EFSA disagreement. Used here to document the exposure side of the risk equation.
    Independence
    EPA summarizes CDC NHANES biomonitoring data; treat as a consolidated federal source on exposure prevalence, not as an independent risk assessment.
  2. [2] US Food and Drug Administration — Bisphenol A (BPA): Use in Food Contact Application
    Bisphenol A (BPA): Use in Food Contact Application
    Statistic
    FDA considers BPA safe at the current levels occurring in foods based on ongoing review of scientific evidence
    Excerpt
    “"Based on FDA's ongoing safety review of scientific evidence, the available information continues to support the safety of BPA for the currently approved uses in food containers and packaging." ”
    Source data from
    2024-11-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    FDA's position rests on its 2014 review of over 300 studies and subsequent updates, including the CLARITY-BPA study. FDA concluded that dietary BPA exposure for US consumers is far below levels that would cause health effects in toxicological studies. FDA banned BPA from baby bottles and sippy cups in 2012, but this was based on market abandonment rather than a safety finding. FDA has acknowledged EFSA's 2023 re-evaluation but has not revised its own safety assessment or TDI in response. The FDA position anchors the low end of the uncertainty band.
    Independence
    FDA's BPA safety assessment is an independent regulatory review from EFSA's 2023 re-evaluation; the two agencies used overlapping but not identical study sets and reached divergent conclusions.
  3. [3] European Food Safety Authority (EFSA) — Re-evaluation of the risks to public health related to the presence of bisphenol A (BPA) in foodstuffs
    Re-evaluation of the risks to public health related to the presence of bisphenol A (BPA) in foodstuffs
    Statistic
    EFSA established a new TDI of 0.2 ng BPA/kg bw/day — 20,000x lower than the previous temporary TDI of 4 µg/kg/day — and concluded dietary BPA exposure is a health concern for all age groups
    Excerpt
    “"Both the mean and the 95th percentile dietary exposures in all age groups exceeded the TDI by two to three orders of magnitude, and the CEP Panel concluded that there is a health concern from dietary BPA exposure." ”
    Source data from
    2023-04-19
    Accessed
    2026-04-18 · archived copy
    Calculation
    EFSA's 2023 re-evaluation represents the most dramatic regulatory shift on BPA in decades. The new TDI of 0.2 ng/kg/day is based on a benchmark dose analysis of Th17 cell increases in mouse spleen, interpreted as an immunotoxic effect. At this threshold, essentially all dietary BPA exposure in all age groups exceeds the TDI by 100-1,000x. However, the critical effect is a cell-count shift in mice, not observed disease in humans. No epidemiological study has demonstrated the immune effects EFSA extrapolated from animal data. FDA, Health Canada, and Food Standards Australia New Zealand have not adopted EFSA's revised TDI. The EU adopted a ban on BPA in food contact materials in December 2024 based on this opinion.
    Independence
    EFSA's re-evaluation is methodologically independent of FDA's assessment; the two agencies reviewed overlapping literature but applied different uncertainty factors and critical-effect selections, producing divergent safety conclusions.
  4. [4] Biochemical Pharmacology / Molina-Molina et al. — BPS and BPF are as Carcinogenic as BPA and are Not Viable Alternatives for its Replacement
    BPS and BPF are as Carcinogenic as BPA and are Not Viable Alternatives for its Replacement
    Statistic
    BPS and BPF exhibit estrogenic and anti-androgenic activities comparable to BPA in in vitro assays, suggesting BPA-free substitutions may not reduce endocrine-disrupting exposure
    Excerpt
    “"BPS and BPF are as carcinogenic as BPA and are not viable alternatives for its replacement." ”
    Source data from
    2022-03-15
    Accessed
    2026-04-18 · archived copy
    Calculation
    This study is relevant because "BPA-free" labeling has driven a massive consumer shift toward products using bisphenol S (BPS) and bisphenol F (BPF) as replacements. Multiple studies, including a 2024 Environmental Sciences Europe analysis of 11 BPA analogues, find comparable or greater endocrine-disrupting potency in vitro. Washington State University research found BPS and BPF produce chromosomal abnormalities similar to BPA. If BPA substitutes carry similar biological activity, then "BPA-free" labeling may represent regrettable substitution rather than risk reduction. This does not change the population-level illness estimate — none of these analogues have demonstrated attributable human disease either — but it undermines the consumer assumption that switching to BPA-free containers meaningfully reduces exposure.
    Independence
    Independent laboratory study of bisphenol analogues; not funded by or methodologically dependent on FDA or EFSA assessments.
  5. [5] JAMA Network Open / Bao et al. — Association Between Bisphenol A Exposure and Risk of All-Cause and Cause-Specific Mortality in US Adults
    Association Between Bisphenol A Exposure and Risk of All-Cause and Cause-Specific Mortality in US Adults
    Statistic
    Highest vs lowest BPA tertile associated with HR 1.49 (95% CI 1.22-1.82) for all-cause mortality in NHANES 2003-2008 cohort followed through 2015
    Excerpt
    “"Higher urinary BPA was associated with increased risk of all-cause mortality after adjusting for demographic, lifestyle, dietary, and clinical factors." ”
    Source data from
    2020-08-14
    Accessed
    2026-04-18 · archived copy
    Calculation
    Bao et al. analyzed 3,883 NHANES participants aged 20+ with urinary BPA measurements and mortality follow-up through the National Death Index. The adjusted HR of 1.49 for all-cause mortality in the highest BPA tertile is one of the more alarming findings in the BPA literature, but it is a single observational study with a single spot urine measurement as the exposure metric. BPA has a half-life of ~6 hours, so a single measurement is a poor proxy for chronic exposure. Residual confounding is likely: higher BPA exposure may correlate with more processed-food consumption, less cooking at home, and other lifestyle factors that independently affect mortality. No randomized or Mendelian randomization study has confirmed a causal link. This study is included because it represents the strongest epidemiological signal in the BPA literature, but its design limitations prevent it from establishing an attributable mortality fraction suitable for the normalized probability calculation.
    Independence
    Independent NHANES cohort analysis; methodologically distinct from FDA and EFSA regulatory reviews, though it uses the same underlying NHANES biomonitoring data cited by EPA.

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