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Health · reviewed 2026-05-16

What are the odds of catching a meaningful infection from sharing a drink bottle or cup?

Evidence quality 4.5/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
3/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.5/5

Lifetime probability · lifetime, activity-specific

1 in 10,000

0.01% lifetime chance

Most people overestimate this.

range — to 1 in 1,000

lifetime, activity-specific each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A single water bottle with two drinking straws beside it, flat vector illustration in muted tones.

Perceived

The instinct that sharing a bottle is a disease vector runs deep — reinforced by the knowledge that saliva contains bacteria and viruses, that backwash is visibly real, and that oral herpes, mononucleosis, and meningitis are all popularly associated with saliva contact. The common framing is: the first person to drink from the bottle leaves pathogens behind, and the second person who pours from it or drinks after carries those pathogens away. Meningitis among university students is particularly salient in this mental model, as is the recurring advice to "not share drinks" from school health campaigns. Actual estimates of per-event transmission probability are not widely available to the public, so this is flagged as intuition.

Source: editorial intuition, not polled

Actual

~0.4% of university students carry Neisseria meningitidis in their saliva (vs. 32% nasopharyngeal carriage)

UK university students (Orr et al. 2003, Emerging Infectious Diseases, n=258)

Show derivation

No study has directly quantified per-event transmission probability for any meaningful infection via shared cup or bottle. The two strongest anchors are: (1) Orr et al. 2003 (Emerging Infectious Diseases / CDC), which tested saliva carriage of meningococcus — the pathogen most commonly cited in "don't share drinks" campaigns — and found carriage in only 0.4% of students' saliva swabs vs. 32% in nasopharyngeal swabs, and which also reviewed a case-control study among university students that "found no association between meningococcal acquisition and sharing of glasses or cigarettes"; (2) Manangan et al. 1998 (CDC, AJIC), which reviewed decades of surveillance around the common communion cup scenario (hundreds of thousands of people sharing a cup weekly for years) and concluded "no documented transmission of any infectious disease has ever been traced to the use of a common communion cup" and that "the risk is so small that it is undetectable." The 0.0001 lifetime estimate is a derived upper bound consistent with zero detected transmissions across millions of observed cup-sharing events. For the other candidate pathogens: HSV-1 is already present in ~63.5% of US adults (iScience 2024 meta-analysis), making most participants in any sharing event immune; for the ~36% who are seronegative, cup sharing is far less efficient than direct mucosal contact for primary transmission. EBV/mononucleosis is already present in ~95% of adults globally (StatPearls) and is documented to transmit primarily via kissing or sexual contact at university age; household secondary attack rates are low. Strep throat transmission controlled human infection studies found no evidence of fomite transmission (PMC 2024). The 1 in 10,000 lifetime figure represents the upper bound on meaningful clinical infection (hospitalisation, lasting pathogen acquisition) specifically attributable to drink-sharing as a route, as distinct from other household contact routes that would occur anyway.

Caveats: This entry addresses the risk of a meaningful infection — one involving a pathog…

This entry addresses the risk of a meaningful infection — one involving a pathogen with lasting clinical consequences — from sharing a drink bottle or cup where one person's saliva enters the liquid. The risk of a self-limiting cold or mild flu from sharing a bottle with someone who is actively symptomatic is not measured here and is not meaningfully separated from the general household droplet and contact-transmission risk that exists regardless of whether you shared a bottle. All the pathogens most commonly named in this concern (meningococcus, HSV-1, EBV, strep) have low or no documented transmission probability via this route for distinct mechanistic reasons: meningococcus almost never reaches saliva in detectable concentrations (0.4% saliva carriage); HSV-1 is already carried by 63.5% of US adults; EBV is already carried by ~95% of global adults and transmits mainly via intimate contact; strep is transmitted primarily via respiratory droplets, not fomites. The CDC communion cup analysis, which represents decades of surveillance across millions of cup-sharing events, found the risk "so small it is undetectable." None of this means backwash is aesthetically neutral; it means the infection biology does not match the cultural fear. The caveat that does apply: sharing a bottle with someone who is visibly symptomatic (actively coughing, with an obvious cold sore, or known to have strep throat) raises even the already-low per-event risk meaningfully — the "don't share drinks when sick" advice is rational and is not what this entry challenges.

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

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Compare to:

The image that makes “don’t share drinks” feel urgent is the wrong one. The fear is usually of meningitis, herpes, or mono — dramatic infections with meningococcus, HSV-1, or EBV as the named villain. Orr and colleagues (2003, CDC’s Emerging Infectious Diseases) tested this directly: they swabbed the saliva of 258 UK university students — the exact demographic and pathogen combination most invoked in the fear — and found meningococcal carriage in exactly one student’s saliva (0.4%), compared to 32% in nasopharyngeal swabs. The same paper reviewed a case-control study of university students that found no association between sharing glasses or cigarettes and meningococcal acquisition. Their conclusion was that drink-sharing should not even qualify as an indication for chemoprophylaxis after a case exposure — a public-health-facing rebuttal of the premise. A CDC-authored review of the communion cup scenario, which involves hundreds of thousands of people sharing a common cup weekly for years, concluded that no documented transmission of any infectious disease has ever been traced to a common communion cup and that the risk is “so small that it is undetectable.”

The background immunity picture further constrains the risk. About 63.5% of US adults already carry HSV-1 (iScience 2024 meta-analysis of national seroprevalence data), meaning most sharing partners are already immune to primary oral herpes acquisition. For EBV, roughly 95% of global adults are already infected — StatPearls notes it “is not considered a highly contagious disease” even while acknowledging saliva as a transmission route; the primary documented acquisition route among seronegative young adults in the Crawford cohort study (46% seroconversion over three university years) was penetrative sexual intercourse, not cup-sharing. Strep throat, the most mundane of the candidate pathogens, appears to transmit primarily via respiratory droplets: a 2024 controlled human infection trial found no evidence of fomite transmission in a deliberately designed study.

Where the fear is calibrated: none of this applies to sharing a bottle with someone who is visibly and actively ill. A person with an open cold sore shedding HSV-1, or with documented strep throat, or during the acute febrile phase of a cold or flu, presents a meaningfully higher transmission risk than an asymptomatic carrier — and the “don’t share drinks with sick people” rule is rational. The finding here is that the ambient, background-level risk from sharing a bottle with a random person who is not acutely symptomatic is so small that decades of public-health surveillance have not been able to detect it. The backwash is real; the infection risk from it, in the general case, is not.

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] Emerging Infectious Diseases (CDC journal) — Orr HJ, Gray SJ, Macdonald M, Stuart JM — Saliva and Meningococcal Transmission
    Saliva and Meningococcal Transmission
    Statistic
    Meningococcal saliva carriage: 0.4% (1 of 258 students) vs. nasopharyngeal carriage 32.2%; case-control study among university students found no association between meningococcal acquisition and sharing of glasses or cigarettes
    Excerpt
    “"Low prevalence of carriage in saliva swabs (one swab [0.4%]) suggests that low levels of salivary contact are unlikely to transmit meningococci. On the basis of this evidence, we propose that guidelines for public health management of meningococcal disease should not include low-level salivary contact (e.g., sharing drinks) with a case-patient as an indication for chemoprophylaxis." ”
    Source data from
    2003-10-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    Orr et al. is the direct empirical test of saliva as a meningococcal transmission route — the specific pathogen most feared in the "don't share drinks" narrative. The result is striking: despite 32% nasopharyngeal carriage, only 0.4% of saliva swabs were positive, meaning the organism almost never reaches the saliva in sufficient quantity to transmit. The case-control data (no association with drink-sharing and disease acquisition) adds epidemiological confirmation on top of the biological finding. The authors explicitly recommend removing drink-sharing from the chemoprophylaxis eligibility criteria — a public-health-facing conclusion that directly addresses the fear motivating this entry. Used as the primary evidence anchor for the meningococcal component of the native stat.
    Independence
    Independent UK epidemiological study published in CDC's own journal; distinct from the AJIC communion cup review below and the HSV-1 and EBV sources.
  2. [2] American Journal of Infection Control (Manangan LP, Sehulster LM, Chiarello L, Simonds DN, Jarvis WR — CDC Hospital Infections Program) — Risk of infectious disease transmission from a common communion cup
    Risk of infectious disease transmission from a common communion cup
    Statistic
    No documented transmission of any infectious disease traced to use of a common communion cup; CDC conclusion: risk 'so small that it is undetectable'
    Excerpt
    “"Although no documented transmission of any infectious disease has ever been traced to the use of a common communion cup, a theoretical risk of transmitting infectious diseases exists. The consensus of the CDC is that such risk is so small that it is undetectable." ”
    Source data from
    1998-10-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    The communion cup scenario is the highest-frequency shared-cup event in the epidemiological literature: hundreds of thousands of participants, weekly exposure across decades, a large unselected population. Despite this scale of observation, the CDC-authored AJIC review identified zero documented disease transmissions. If we conservatively assume 100 million person-cup-sharing events observed and zero infections detected, the per-event upper bound on meaningful infection probability is on the order of 1 in 10 million. The lifetime 0.0001 estimate allows for substantially more risk than this (treating it as a conservative upper bound), since the communion cup scenario may involve less backwash saliva exchange than a shared personal bottle. Used as the primary anchor for the "undetectable signal" framing.
    Independence
    Independent CDC epidemiological review, distinct from the Orr meningococcal study above and the virology sources below.
  3. [3] iScience (Cell Press) — Epidemiology of herpes simplex virus type 1 in the United States: Systematic review, meta-analyses, and meta-regressions
    Epidemiology of herpes simplex virus type 1 in the United States: Systematic review, meta-analyses, and meta-regressions
    Statistic
    Pooled mean HSV-1 seroprevalence among US adults: 63.5% (95% CI 61.3–65.7%); seroprevalence declining ~1% per year; ~36% of US adults are seronegative and theoretically susceptible to primary HSV-1
    Excerpt
    “"The pooled mean HSV-1 seroprevalence was 63.5% (95% CI: 61.3–65.7) among general-population adults... Seroprevalence declined by 0.99-fold (95% CI: 0.99–0.99) per year." ”
    Source data from
    2024-08-05
    Accessed
    2026-05-03 · archived copy
    Calculation
    The 63.5% US adult seroprevalence figure establishes that the majority of participants in any drink-sharing event already carry HSV-1 and are immune to primary acquisition. For the ~36% who are seronegative, HSV-1 can in principle be acquired via contact with infected saliva; however, transmission efficiency via fomite (a shared bottle) is substantially lower than via direct mucosal contact, and no study has quantified per-event cup-sharing transmission probability. The high background immunity means the expected proportion of sharing partners who are both (a) HSV-1 positive and (b) actively shedding virus in detectable quantities and (c) sharing a bottle with a seronegative partner is low. Used to establish the HSV-1 context and immunity floor.
    Independence
    Independent of the meningococcal CDC sources; distinct pathogen, distinct methodology (meta-analysis of seroprevalence studies).
  4. [4] StatPearls Publishing / NCBI Bookshelf — Epstein-Barr Virus — StatPearls
    Epstein-Barr Virus — StatPearls
    Statistic
    Global adult EBV seroprevalence: ~95%; US ages 18–19: 82.9% already infected; EBV 'is not considered a highly contagious disease'; kissing is the major route of primary EBV transmission among adolescents and young adults
    Excerpt
    “"Nearly 95% of the world's adult population has EBV exposure... The transmission of the Epstein Barr virus occurs in several ways, such as deep kissing or food-sharing... EBV is not considered a highly contagious disease." ”
    Source data from
    2023-01-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    The ~95% global adult seroprevalence makes EBV acquisition via drink-sharing negligible for the vast majority of adults — only the ~5% globally (higher among younger US adults) who are seronegative are at any risk of primary EBV infection. Even for this seronegative minority, kissing is the documented primary transmission route (Crawford et al. 2006, CID: 46% seroconversion over 3 university years, with penetrative sexual intercourse the primary identified risk factor), not cup-sharing. StatPearls explicitly classifies EBV as "not highly contagious." Used to establish that mononucleosis from shared drinks is an extremely unlikely scenario given background immunity and preferential transmission routes.
    Independence
    Independent reference source (NIH/NCBI StatPearls), distinct from the meningococcal CDC studies and the HSV-1 meta-analysis.

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