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Health · reviewed 2026-04-19

What are the odds of being harmed by an unsafe imported consumer product?

Evidence quality 4.38/5

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
4/5
D8 Caveat completeness
5/5
Average 4.38/5

Lifetime probability · lifetime, US adult

1 in 565

0.2% lifetime chance

range 1 in 3,333 to 1 in 100

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 113 1 in 1,883

● your factors — click this risk ▾ to reveal

≈ As likely as

A small cardboard shipping box on a neutral surface, flat vector illustration in muted tones.

Perceived

The rise of Temu, Shein, and AliExpress as mainstream shopping platforms has rekindled a fear that predates e-commerce: that cheap imported goods are dangerous. Headlines about lead in children's jewelry, PFAS in clothing, exploding hoverboards, and banned crib bumpers still listed for sale create a perception of systemic regulatory failure. Seoul Metropolitan Government testing in 2024 found a Temu children's coat with 622 times the legal limit of phthalate plasticizers. A Toy Association study found 89% of toys purchased from Shein and Temu presented significant safety concerns. The de minimis shipping loophole — allowing packages under $800 to enter the US with minimal inspection — reinforces the sense that these products bypass the safety net entirely. Most consumers who encounter these stories conclude that ordering from budget e-commerce platforms carries a real chance of injury or poisoning, particularly for children.

Rough estimate: Many consumers treat budget e-commerce products as carrying a meaningful risk of injury or toxic exposure

Source: editorial intuition, not polled

Actual

~882 injuries from recalled consumer products in 2025 (US PIRG / CPSC data); ~15.1 million total product-related ER visits in 2024

US residents purchasing from all retail channels including online marketplaces

Show derivation

Estimating harm specifically from "unsafe imported products" is difficult because CPSC injury data does not cleanly separate injuries caused by product defects from injuries caused by user behavior, and does not track country of origin consistently in NEISS. The 15.1 million annual ER visits for consumer product injuries (NEISS 2024) include falls from stairs, cuts from kitchen knives, and other use-related injuries that have nothing to do with manufacturing defects or import safety. The PIRG figure of 882 injuries from products recalled in 2025 dramatically undercounts because it includes only injuries reported through the recall process. A rough estimate: CPSC data shows ~50% of 2025 recalls involved Chinese-manufactured products, and the share of e-commerce-linked recalls rose to 92% of Chinese product recalls. If we estimate ~10,000 injuries per year attributable to genuine product safety defects (a fraction of total ER visits, backed by recall reports, CPSC investigations, and incident reports), that gives ~3 per 100,000 per year. Over 59 adult-remaining years: 1 - (1 - 3e-5)^59 ≈ 1.77e-3, or about 1 in 565. This estimate is highly uncertain because the denominator (defect-attributable injuries) is not directly measured by any federal system. The uncertainty band spans an order of magnitude in both directions.

Caveats: This entry addresses physical injury and toxic chemical exposure from consumer p…

This entry addresses physical injury and toxic chemical exposure from consumer product safety defects, not dissatisfaction with product quality, counterfeiting, or data privacy concerns associated with budget e-commerce platforms. The normalized probability is a rough estimate because no federal surveillance system cleanly tracks injuries attributable to imported product defects as distinct from user-error injuries with any consumer product. The 1-in-565 lifetime figure includes all product-defect injuries, not just those from imported goods or e-commerce platforms specifically. Most consumer product injuries treated in emergency departments (falls from furniture, cuts from tools, burns from cookware) result from foreseeable use, not manufacturing defects. The true rate of injury from genuinely unsafe imported products is almost certainly lower than the headline figure but is not directly measurable from available data.

Risks at similar odds

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

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Choking

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Counterfeit medicine

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COVID-19

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Compare to:

The product safety story is less about Temu specifically and more about a structural enforcement gap that has been widening since the early 2010s. The US de minimis threshold allows packages valued under $800 to enter the country with minimal customs inspection. In 2013, roughly 140 million such shipments crossed the border; by 2023, that figure exceeded one billion. CPSC’s inspection capacity did not scale with the volume. The result is that a meaningful fraction of consumer products now reaches American households without ever passing through the regulatory system designed to catch defective goods. When Seoul Metropolitan Government tested 144 products from Shein, Temu, and AliExpress in 2024, nearly half of those examined contained chemicals exceeding safety standards — phthalates at 622 times the legal limit, lead at 11 times permissible levels, cadmium above thresholds. A Toy Association study found 89% of toys from Shein and Temu presented significant safety concerns, with over 70% failing at least one laboratory safety test.

The denominator matters more than the numerator. CPSC’s NEISS surveillance system estimated 15.1 million consumer-product-related emergency department visits in 2024, but the overwhelming majority involve stairs, floors, beds, and other household fixtures where injury results from use rather than defect. The PIRG tally of 882 injuries linked to recalled products in 2025 captures only the fraction that entered the formal recall process — products that were identified, investigated, and recalled, whose victims then reported through official channels. The true count of injuries from manufacturing defects is unknowable from existing data, but it is a small fraction of total product-related ER visits and a larger number than the recall-linked count suggests. Nearly 66% of 2025 recalls involved Chinese-manufactured products, and 92% of those were sold through e-commerce platforms.

The hoverboard precedent is instructive. In 2016, CPSC recalled over 500,000 hoverboards after documenting more than 60 fires across 20 states, at least 99 injuries, and over $2 million in property damage — all from lithium-ion battery failures in cheaply manufactured Chinese imports. The episode demonstrated that import volume can outpace enforcement, that the consequences concentrate in a small number of severe incidents rather than widespread low-grade harm, and that CPSC eventually catches up but only after a wave of injuries forces the issue. The current e-commerce boom, with its billion-package de minimis pipeline, is the same dynamic at larger scale and with a wider product range.

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 PIRG Education Fund — Safe At Home in 2025?
    Safe At Home in 2025?
    Statistic
    882 injuries from products recalled in 2025; recalls hit 18-year high; nearly 66% of 2025 recalls involved Chinese-manufactured products
    Excerpt
    “"Regulators tallied 882 injuries from products recalled in 2025. Almost 92 percent of recalled Chinese products are tied to e-commerce platforms such as Amazon, Walmart.com, Temu, Shein, and AliExpress." ”
    Source data from
    2025-10-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    PIRG's annual "Safe At Home" report aggregates CPSC recall data for the calendar year. The 882 injuries figure covers only injuries reported through the formal recall process, which drastically undercounts total defect-related injuries: most consumers who are harmed by a product do not file a SaferProducts.gov report, and many defective products are never recalled. The report documents that the share of Chinese-manufactured products in recalls rose from ~50% in 2024 to ~66% in 2025, with e-commerce platforms accounting for 92% of the distribution channel for those recalls. Used here as the most recent aggregate of recall-linked injury data.
    Independence
    PIRG independently aggregates CPSC public recall data; their analysis methodology is separate from CPSC's own annual reports but relies on the same underlying recall and incident data.
  2. [2] US Consumer Product Safety Commission — National Electronic Injury Surveillance System (NEISS)
    National Electronic Injury Surveillance System (NEISS)
    Statistic
    15.1 million consumer product-related ER visits estimated in 2024 via probability sample of ~100 US hospitals
    Excerpt
    “"NEISS injury data are gathered from the emergency departments of approximately 100 hospitals selected as a probability sample of all 5,000+ U.S. hospitals with emergency departments." ”
    Source data from
    2025-03-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    NEISS is the primary federal system for estimating consumer product-related injuries treated in US emergency departments. The 15.1 million figure for 2024 covers all consumer product categories, with "home structures and construction" (stairs, floors) accounting for ~4.5 million — injuries unrelated to product defects. NEISS does not code for country of origin or manufacturing defect vs user error, making it impossible to directly extract "injuries from unsafe imported products" from the database. The total is used here as a ceiling from which the defect-attributable fraction is estimated downward.
    Independence
    NEISS is the authoritative federal injury surveillance system; PIRG's recall-linked injury counts draw from a different data stream (recall reports) and are not a subset of NEISS estimates.
  3. [3] CBC Marketplace — Experts warn of high levels of chemicals in clothes by some fast-fashion retailers
    Experts warn of high levels of chemicals in clothes by some fast-fashion retailers
    Statistic
    A Shein toddler jacket contained nearly 20x Health Canada's safe limit for lead; a Shein purse exceeded the lead threshold by 5x
    Excerpt
    “"A jacket for toddlers purchased from Shein contained almost 20 times the amount of lead that Health Canada says is safe for children." ”
    Source data from
    2021-10-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    CBC Marketplace tested 38 items from several fast-fashion retailers in 2021. Nearly one in five items had elevated levels of lead, PFAS, or phthalates. The Shein toddler jacket finding (20x Health Canada's lead limit) triggered a Health Canada recall and was the most widely cited result. This is investigative journalism, not systematic surveillance, and the sample is small and non-random. It is included because the investigation drove significant public awareness and regulatory action, but it cannot be used to estimate population-level injury rates from fast-fashion chemical exposure.
    Independence
    CBC Marketplace commissioned independent laboratory testing through University of Toronto researchers; results are independent of CPSC, Seoul, and EU Safety Gate data.
  4. [4] Voice of America (reporting Seoul Metropolitan Government testing) — Seoul authorities find toxic substances in Shein and Temu products
    Seoul authorities find toxic substances in Shein and Temu products
    Statistic
    A Temu children's coat contained 622x the legal limit of phthalate plasticizers, 3.6x the lead limit, and 3.4x the cadmium limit; nearly half of 93 products tested contained toxic substances
    Excerpt
    “"Seoul authorities found sandals from Temu contained lead in the insoles at levels more than 11 times the permissible limit. A children's coat from Temu had 622 times the legal limit of phthalate plasticizers." ”
    Source data from
    2024-08-14
    Accessed
    2026-04-18 · archived copy
    Calculation
    Seoul Metropolitan Government tested 144 products from Shein, Temu, and AliExpress in multiple rounds during 2024. Nearly half of 93 products in one batch contained toxic substances exceeding Korean safety standards. The 622x phthalate exceedance is the most extreme finding in any government testing of these platforms. Korean safety standards for children's products are broadly comparable to EU and US limits. However, product testing identifies hazard (chemical presence above thresholds), not risk (probability of illness at actual exposure duration and dose). A child wearing a coat with elevated phthalates is not the same as a child ingesting phthalates at toxic doses — dermal absorption rates for phthalates from textiles are generally low, though not negligible for infants who mouth fabric.
    Independence
    Seoul Metropolitan Government testing is independent of CBC Marketplace, CPSC, and EU Safety Gate data; uses Korean safety standards.
  5. [5] Information Technology and Innovation Foundation (ITIF) — Strengthening Product Safety Enforcement on Chinese E-commerce Platforms
    Strengthening Product Safety Enforcement on Chinese E-commerce Platforms
    Statistic
    De minimis shipments to the US exceeded 1 billion packages in 2023, up from 140 million in 2013; most are exempt from CPSC inspection
    Excerpt
    “"Many products sold on websites like Shein and Temu are inexpensive, bringing shipments under the $800 limit. The de minimis loophole presents enforcement challenges for CPSC, making it harder to target and block shipments with illegal or unsafe consumer products." ”
    Source data from
    2025-04-15
    Accessed
    2026-04-18 · archived copy
    Calculation
    ITIF's policy analysis documents the structural enforcement gap created by the de minimis threshold ($800 per shipment). With over 1 billion de minimis packages entering the US annually, CPSC cannot inspect more than a negligible fraction. This means the recall-based injury data (PIRG's 882 figure) almost certainly undercounts injuries from products that were never subject to border inspection, never recalled, and whose incidents were never reported. The enforcement gap is real but its size is not quantified — it is a known unknown in the injury estimate.
    Independence
    ITIF is an independent technology policy think tank; their analysis draws on CPSC and CBP data but provides independent policy recommendations.

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