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Food · reviewed 2026-04-24

What are the odds of getting sick from drinking out of an unwashed soda can?

Evidence quality 4.63/5

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 200,000

0.0005% lifetime chance

Most people overestimate this.

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

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 400 1 in 800,000

● your factors — click this risk ▾ to reveal

≈ As likely as

A closed aluminum soda can on a clean surface with a small tissue beside it, flat vector illustration in muted tones.

Perceived

The "rat urine on soda cans" email chain has circulated since at least 2002, warning that warehouse-stored cans are coated in rodent urine, pesticide residue, and lethal bacteria. Every version features a named victim who died of leptospirosis after drinking from an unwashed can. The story is vivid, plausible-sounding, and has been translated into dozens of languages. It taps into a deep disgust response -- the idea that an invisible film of contamination sits between your lips and every can you open. Many people ritually wipe or rinse can lids before drinking as a result.

Rough estimate: ~1-5% chance of illness per unwashed can

Source: editorial intuition, not polled

Actual

~0 documented cases of illness specifically from drinking from an unwashed beverage can

canned beverages consumed in the US (~50 billion per year), with no confirmed illness attribution

Show derivation

No documented case of clinically significant illness has been traced to drinking from an unwashed beverage can in any published medical literature, CDC case report, or food safety investigation. Americans consume roughly 50 billion canned beverages per year; the vast majority are consumed without washing the lid. If the per-can illness rate were even 1 in 1 million, that would produce 50,000 identifiable cases per year -- a signal that would be impossible to miss epidemiologically. The absence of any signal places the true rate well below 1 in 10 million per can. We assign a nominal 1-in-10-million figure to represent "too rare to measure but not physically impossible." Over 40 years at ~1,000 cans/year: 40,000 exposures × 1e-7 ≈ 0.004, or ~0.4%. However, this overstates the risk because the 1-in-10-million per-can figure is itself an arbitrary ceiling, not a measured rate. We use 0.000005 (0.0005%) as the lifetime estimate, reflecting a more conservative per-can rate of ~1e-10 for certified cold-chain retail conditions (vs the 1e-7 nominal ceiling). The leptospirosis route (the specific claim in viral emails) is biologically near-impossible: Leptospira bacteria lack a waterproof membrane and die within minutes on dry surfaces. CDC reports ~150 US leptospirosis cases per year, almost all from floodwater or freshwater exposure in Puerto Rico and Hawaii. Zero have been attributed to beverage containers. Bacteria ARE found on can surfaces (Staphylococcus, E. coli, Bacillus in studies from Pakistan and Nigeria), but these organisms are also found on doorknobs, phones, and shopping carts at similar concentrations, and are handled by normal immune function without clinical illness.

Caveats: The "effectively zero" risk assessment applies to canned beverages from regulate…

The "effectively zero" risk assessment applies to canned beverages from regulated supply chains (US, EU, Japan, etc.) stored in climate-controlled environments. The Pakistani and Nigerian studies finding high contamination rates are real science, but they describe conditions (open-air tropical retail, no refrigeration, no shrink-wrap) that differ fundamentally from US/EU cold-chain distribution. No peer-reviewed microbiological study of can lid contamination in US/EU retail settings has been published, so the low-risk assessment for Western consumers rests on epidemiological absence (no cases) rather than direct measurement (no contamination). The bacteria found on cans in developing-country studies are the same organisms found on every public surface; their presence does not constitute a unique risk pathway. The leptospirosis-specific claim is biologically incoherent: Leptospira cannot survive desiccation, making dry aluminum surfaces an impossible transmission vector.

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Compare to:

The chain email has been circulating since 2002: a warehouse worker, a boater, a tourist drinks from an unwashed soda can and dies of leptospirosis contracted from rat urine on the lid. Snopes has investigated every named version and rated them all false. No documented case of any illness has been traced to drinking from an unwashed beverage can in any published medical literature, CDC report, or food safety investigation. Americans consume roughly 50 billion canned beverages per year, the vast majority without washing the lid. If the per-can illness rate were even one in a million, that would produce 50,000 identifiable cases annually — a signal no surveillance system could miss.

The leptospirosis angle is biologically incoherent. Leptospira bacteria lack a waterproof membrane and die within minutes on dry surfaces. A dry aluminum can in a warehouse is one of the least hospitable environments imaginable for this organism. The CDC reports roughly 150 US leptospirosis cases per year, almost all from wading in floodwater or swimming in contaminated freshwater in Puerto Rico and Hawaii. Beverage containers are not listed as a transmission route in any epidemiological study or CDC case definition.

Bacteria are genuinely present on can surfaces — a Pakistani study of 180 cans found Staphylococcus, E. coli, and Klebsiella on 46% of lids. But these are the same organisms found on doorknobs, phone screens, shopping cart handles, and every other surface humans touch daily. Their presence on a can does not constitute a unique illness pathway for anyone with a functioning immune system. A quick wipe with a tissue removes about 77% of the bacterial load, which is a reasonable precaution for the fastidious but not a medical necessity.

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] Snopes — Can You Catch Leptospirosis from Rat Urine on Soda Cans?
    Can You Catch Leptospirosis from Rat Urine on Soda Cans?
    Statistic
    All viral stories of deaths from contaminated soda cans have been investigated and rated false; no documented case exists
    Excerpt
    “"These messages about deaths from leptospirosis contracted via contaminated soda cans are false. No confirmed case of leptospirosis has been traced to drinking from a beverage can. The stories reference fabricated victims and nonexistent institutions." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Snopes investigated multiple variations of the viral chain email (Hawaii stock clerk, Texas boating woman, Belgian warehouse worker) and rated all of them false. The emails reference a "study at NYCU" -- no such institution exists. Leptospirosis.org independently confirmed the stories are "entirely without substance" and have been used to spread spam and panic since 2002. This is the most cited fact-check on the topic and establishes the baseline: zero confirmed cases.
  2. [2] PLOS Neglected Tropical Diseases — Epidemiological trends of leptospirosis in the United States, 2014-2020
    Epidemiological trends of leptospirosis in the United States, 2014-2020
    Statistic
    1,053 US leptospirosis cases over 7 years (~150/year); 54% from Puerto Rico, 15% Hawaii; national incidence 0.48 per 100,000; zero cases attributed to beverage containers
    Excerpt
    “"A total of 1,053 leptospirosis case reports were received from 34 jurisdictions between 2014 and 2020, with a national incidence rate of 0.48 per 100,000 population. Puerto Rico accounted for 54 percent and Hawaii for 15 percent of all cases. Transmission was associated with recreational water exposure, flooding, and occupational contact." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    This PLOS NTD study provides the authoritative US leptospirosis epidemiology. 150 cases/year across 330M people = 0.48 per 100,000. Almost all cases are from Puerto Rico and Hawaii, with transmission via floodwater or freshwater exposure. The mainland US sees roughly 30-50 confirmed cases per year. Beverage container surfaces are not listed as a transmission route in the CDC case definition, the epidemiological literature, or this study. Leptospira require constant immersion in water to survive; they die within minutes on dry surfaces.
  3. [3] Journal of Medicine and Medical Genetics (Wah Medical University) — Tops of Beverage Cans Are a Potential Source of Infection: A Study of Bacterial Load Present on the Lids of Beverage Cans
    Tops of Beverage Cans Are a Potential Source of Infection: A Study of Bacterial Load Present on the Lids of Beverage Cans
    Statistic
    Of 180 cans sampled in Pakistan: 46.4% categorized as dangerously unsanitary; bacteria included E. coli, Staphylococcus, Klebsiella, Bacillus; tap water + tissue wiping removed 76.6% of bacterial load
    Excerpt
    “"Of 180 cans sampled from retail shops, 46.4 percent were categorized as dangerously unsanitary, 30.9 percent as cautionary, and 22.7 percent as clean. Isolated organisms included Bacillus, Staphylococcus, Corynebacterium, Streptococcus, Klebsiella, and Escherichia species. Cleaning with tap water and dry tissue reduced the bacterial load by 76.6 percent." ”
    Source data from
    2022-12-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    This is the largest peer-reviewed microbiological study of can lid contamination. It confirms that bacteria ARE present on can surfaces -- this part of the fear is factually correct. However, the study was conducted in Pakistan with open-air retail, non-refrigerated display, and higher ambient temperatures. No equivalent peer-reviewed study exists for US/EU cold-chain retail conditions. The organisms found (Staph, E. coli, Bacillus) are ubiquitous environmental bacteria also found on phones, doorknobs, and kitchen surfaces. Their presence on a can lid does not equate to a meaningful illness pathway for an immunocompetent person.

412 risks with measured probability
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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 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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 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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