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Perceived fear vs. actual probability

What are the odds that microplastics released from a plastic tea bag will harm your health?

Food · reviewed 2026-06-09

What are the odds that microplastics released from a plastic tea bag will harm your health?

Evidence quality 4.38/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence
Source No reliable estimate
A single plain tea bag with its string and paper tag resting beside an empty mug on a neutral surface, flat vector illustration in muted tones.
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The numbers that drove the tea-bag panic are real and worth stating in their own units. Hernandez et al. (2019, Environmental Science & Technology) found that steeping a single plastic teabag at brewing temperature (95 °C) releases roughly 11.6 billion microplastic and 3.1 billion nanoplastic particles into one cup — nylon and polyethylene terephthalate, “several orders of magnitude higher than plastic loads previously reported in other foods.” A 2024 study from the Universitat Autònoma de Barcelona (Banaei et al., Chemosphere) measured release per millilitre and by polymer instead: polypropylene bags shed about 1.2 billion particles per millilitre, cellulose around 135 million, nylon-6 about 8 million. The two studies use different units and different bag materials, so the figures should not be stacked into one bigger number; each on its own establishes that the release is real and large.

What neither study delivers is a measured human-health outcome. Hernandez’s only toxicity test was on the water flea Daphnia magna, which showed dose-dependent behavioural and developmental effects — an invertebrate signal, not a human one. Banaei’s contribution was to show, for the first time, that tea-bag-derived particles are taken up by human intestinal cells in culture, with the highest uptake in mucus-producing cells and particles reaching the cell nucleus. That is a genuine and somewhat unsettling mechanistic finding, and it is the reason this entry does not treat the question as closed — but a cell-culture uptake result is several steps short of demonstrated disease in a person. The WHO’s 2019 review concluded that microplastics in drinking water do not appear to pose a health risk at current ingestion levels and that particles above ~150 µm are unlikely to cross the gut wall; EFSA’s 2025 literature review judged that current quantification studies likely overstate exposure and that reliable risk estimates are not yet possible, with its formal opinion not expected until the end of 2027.

The honest summary is the same shape as the broader microplastics entry, with a teabag attached: the exposure numbers are striking, cell and invertebrate models suggest plausible pathways, and no human cohort has measured an attributable outcome. The one concrete and uncontested lever is the bag material — plastic mesh “silken” pyramid bags are the source of the synthetic-polymer particles, and paper bags or loose-leaf tea avoid them almost entirely. Cellulose bags shed large particle counts too, but those are plant fibre rather than synthetic polymer, the same distinction that complicates the wooden-cutting-board comparison. Whether switching bag type changes any lifetime disease risk has no quantified answer in either direction, which is why this entry carries no probability rather than a reassuringly or alarmingly precise one.

A steeping plastic tea bag does release billions of micro- and nanoplastic particles into the cup. What that means for health has no reliable estimate: no study links tea-bag plastics to a measured outcome, and exposure from this source sits among many others.

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] Environmental Science & Technology — Hernandez, Xu, Larsson, Tahara, Maisuria, Tufenkji (McGill University) — Plastic Teabags Release Billions of Microparticles and Nanoparticles into Tea
    Plastic Teabags Release Billions of Microparticles and Nanoparticles into Tea
    Statistic
    Steeping a single plastic teabag at brewing temperature (95 °C) releases ~11.6 billion microplastics and ~3.1 billion nanoplastics into one cup; particles matched to nylon and polyethylene terephthalate; levels several orders of magnitude higher than plastic loads previously reported in other foods
    Excerpt
    “"We show that steeping a single plastic teabag at brewing temperature (95 °C) releases approximately 11.6 billion microplastics and 3.1 billion nanoplastics into a single cup of the beverage. The composition of the released particles is matched to the original teabags (nylon and polyethylene terephthalate) [...] The levels of nylon and polyethylene terephthalate particles released from the teabag packaging are several orders of magnitude higher than plastic loads previously reported in other foods. An initial acute invertebrate toxicity assessment shows that exposure to only the particles released from the teabags caused dose-dependent behavioral and developmental effects." ”
    Source data from
    2019-11-05
    Accessed
    2026-06-09
    Calculation
    Hernandez et al. (2019, Env. Sci. Technol. 53(21):12300-12310, DOI 10.1021/acs.est.9b02540) cut and steeped commercial plastic teabags at 95 °C and counted released particles by electron microscopy, confirming polymer identity by FTIR and XPS. The headline 11.6 billion microplastic + 3.1 billion nanoplastic figure is PER CUP. The only toxicity test in the paper was on the water flea Daphnia magna — an invertebrate model showing dose-dependent behavioural and developmental effects, not a human-health outcome. The paper quantifies an exposure; it does not demonstrate harm to people.
    Independence
    Independent McGill University laboratory study using direct particle counting and spectroscopy; not funded by EFSA, FDA, or any industry body.
  2. [2] Chemosphere — Banaei et al. (Universitat Autònoma de Barcelona / PlasticHeal) — Teabag-derived micro/nanoplastics (true-to-life MNPLs) as a surrogate for real-life exposure scenarios
    Teabag-derived micro/nanoplastics (true-to-life MNPLs) as a surrogate for real-life exposure scenarios
    Statistic
    Polymer-based teabags release micro/nanoplastics on infusion: polypropylene ~1.2 billion particles/mL (avg 136.7 nm), cellulose ~135 million/mL (244 nm), nylon-6 ~8.18 million/mL; particles taken up by human intestinal cells in vitro, highest in mucus-producing cells, reaching the cell nucleus
    Excerpt
    “[Paraphrase from the UAB/PlasticHeal press summary — full text paywalled; article verified to exist at DOI 10.1016/j.chemosphere.2024.143736]: commercial teabags made of nylon-6, polypropylene, and cellulose release billions of micro- and nanoplastics during infusion; the particles are absorbed by human intestinal cells in culture, with the highest uptake in mucus-producing cells and particles reaching the cell nucleus — the first demonstration of this uptake route for teabag-derived particles. The verbatim per-millilitre release figures are quoted from the companion UAB press release (see the following source). ”
    Source data from
    2024-11-16
    Accessed
    2026-06-09
    Calculation
    Banaei et al. (2024, Chemosphere 368:143736) characterised micro/nanoplastics from three teabag polymers and ran in-vitro uptake experiments on human intestinal cell lines. Release is reported PER MILLILITRE, not per cup, and by polymer — so these figures are NOT directly comparable to Hernandez's per-cup totals and must not be stacked into a single larger number. The novel finding is cellular: uptake of the particles by human gut cells, including nuclear localisation. This is a mechanistic in-vitro result that establishes a plausible pathway; it is not measured disease in a human population. Full text is paywalled, so the precise numbers are cited from the institution's own press release (next source) where they appear verbatim.
    Independence
    Independent Spanish laboratory study published in Chemosphere under the EU PlasticHeal project; methodologically distinct from the Hernandez 2019 quantification work.
  3. [3] EurekAlert! / Universitat Autònoma de Barcelona (press release for Banaei et al., Chemosphere 2024) — Commercial tea bags release millions of microplastics when in use
    Commercial tea bags release millions of microplastics when in use
    Statistic
    Per-millilitre release by polymer: polypropylene ~1.2 billion particles/mL (avg 136.7 nm); cellulose ~135 million/mL (244 nm); nylon-6 ~8.18 million/mL; mucus-producing intestinal cells showed highest uptake, with particles entering the cell nucleus
    Excerpt
    “"The tea bags used for the research were made from the polymers nylon-6, polypropylene and cellulose. [...] polypropylene releases approximately 1.2 billion particles per milliliter, with an average size of 136.7 nanometres; cellulose releases about 135 million particles per milliliter, with an average size of 244 nanometres; while nylon-6 releases 8.18 million particles per milliliter [...] mucus-producing intestinal cells had the highest uptake of micro and nanoplastics, with the particles even entering the cell nucleus that houses the genetic material." ”
    Source data from
    2024-12-20
    Accessed
    2026-06-09
    Calculation
    Institutional press release issued by the Universitat Autònoma de Barcelona summarising Banaei et al. (Chemosphere 2024). Included as the verbatim home of the per-millilitre release figures, which are quoted exactly here rather than paraphrased from the paywalled journal text. A press release is not an independent estimate; it restates the peer-reviewed study above and is treated as methodologically linked to it.
    Independence
    Not independent of the Banaei 2024 study — it is the authors' own institutional summary, used solely to attach the verbatim numbers to a publicly readable URL.
  4. [4] World Health Organization — Microplastics in Drinking-Water
    Microplastics in Drinking-Water

    See all 3 Likelier entries citing this source →

    Statistic
    No reliable evidence that microplastic exposure at current ingestion levels poses a measurable risk to human health; particles larger than 150 micrometres unlikely to be absorbed from the gut
    Excerpt
    “"Based on the limited information we have, microplastics in drinking water don't appear to pose a health risk at current levels. But we need to find out more." ”
    Source data from
    2019-08-22
    Accessed
    2026-05-24 · archived copy
    Calculation
    WHO's 2019 review synthesised global evidence on microplastic ingestion and human health. Its key technical conclusion applies directly to tea-bag exposure: particles larger than ~150 µm are unlikely to be absorbed across the intestinal wall, and gut uptake of smaller particles is expected to be limited. Tea-bag nanoplastics (Hernandez and Banaei both report sub-micron particles) fall well below that threshold, into the size range where uptake is plausible but unquantified at the population level. WHO did not identify a quantifiable population-level risk from any current microplastic ingestion source, supporting the no_reliable_estimate classification.
    Independence
    WHO global review independent of EFSA process and individual primary studies.
  5. [5] European Food Safety Authority (EFSA Supporting Publication EN-9733) — Literature review on micro- and nanoplastic release from food contact materials during their use
    Literature review on micro- and nanoplastic release from food contact materials during their use

    See all 2 Likelier entries citing this source →

    Statistic
    EFSA 2025 review of FCM-derived micro- and nanoplastic release concluded that current studies likely overestimate quantities, nanoplastic data remain insufficient, and reliable exposure estimates are not yet possible; formal scientific opinion on microplastics in food not expected until end of 2027
    Excerpt
    “"While there is clear evidence of microplastic release from food contact materials, the actual quantities are likely lower than many studies suggest. Nanoplastics data remain insufficient, and current evidence does not support reliable exposure estimates." ”
    Source data from
    2025-10-28
    Accessed
    2026-05-24 · archived copy
    Calculation
    EFSA's October 2025 literature review covered over 100 studies on micro- and nanoplastic release from food contact materials, with mechanical stress (abrasion, friction, brewing heat) identified as a dominant release pathway. EFSA judged that current quantification studies likely overstate exposure because measurement methodology tends to over-count, and that nanoplastic data are too sparse for reliable risk assessment. The formal scientific opinion on microplastics in food is scheduled for end of 2027 — until then no European regulatory threshold exists for tea-bag-derived microplastic exposure. The absence of a quantified opinion after years of review is itself the evidence: this is a pre-epidemiological field.
    Independence
    EFSA literature review is independent EU regulatory analysis; covers but does not endorse individual primary studies including Hernandez 2019.

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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