Skip to content
Likelier
Health · reviewed 2026-05-02

What are the odds of getting a lasting infection from sharing food or drinks with your child?

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, activity-specific

1 in 4.2

24% lifetime chance

range 1 in 5.6 to 1 in 3.3

lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.0 1 in 83

● your factors — click this risk ▾ to reveal

≈ As likely as

A half-eaten cracker on a small plate beside a child's sippy cup, flat vector illustration in muted tones.

Perceived

The fear surfaces with a predictable trigger: a toddler hands a parent a half-eaten cracker, or drinks from a shared cup, and a moment of reluctance flickers — all that saliva, all those daycare germs. Parenting forums are full of conflicted posts about whether to refuse the offer and feel cold, or accept it and feel vaguely contaminated. The intuitive risk estimate tends to be framed as "a reasonable chance of catching a stomach bug within a week," which captures something real about short-term illness transmission but misses the more interesting question: is there a lasting infection risk from this habit, not just another cold? Most parents simultaneously underestimate the specific long-term pathogens (CMV, H. pylori) and overestimate the uniqueness of the sharing route — much of the transmission that happens via shared food would also happen through household air, hand contact, and surface touch anyway.

Source: editorial intuition, not polled

Actual

~24% per year of exposure (CMV, for seronegative parent with shedding child)

CMV-seronegative parents of toddlers with confirmed CMV shedding (Cannon et al. 2010 review)

Show derivation

The most precisely quantified pathway is CMV (cytomegalovirus) transmission from a shedding toddler to a seronegative parent. Cannon et al. (2010), reviewing the literature, found annual CMV seroconversion rates of 24% (95% CI 18–30%) for seronegative parents of a child actively shedding CMV, versus 2.1% in parents whose child was not shedding. Because CMV is present in saliva and is efficiently transmitted via shared cups, food, and hand-to-mouth contact, this is the most plausible causal pathway from the specific behavior in question. Approximately 45% of US adults are CMV-seronegative (susceptible); of young children in daycare, roughly 23% are actively shedding at any given time. For the typical parent without a confirmed shedding child, the annual seroconversion risk is much lower (~2–10%). The normalized.lifetime_us_adult field is set to 0.24 to reflect the clinically important subgroup (seronegative parent + shedding child); the scope is subgroup_lifetime. For H. pylori, intrafamilial transmission is documented but harder to isolate as an annual rate because most US adults were either already infected in childhood or will never acquire it in adulthood regardless of child contact. No single per-year figure is authoritative for H. pylori child-to-parent transmission.

Caveats: The 24% annual seroconversion figure applies to a specific high-risk subgroup: s…

The 24% annual seroconversion figure applies to a specific high-risk subgroup: seronegative parents of children confirmed to be actively shedding CMV. For the broader population of parents sharing food with young children, the annual risk of acquiring a lasting infection from this behavior specifically (as opposed to other household routes) cannot be cleanly isolated. Most household pathogen transmission — RSV, common cold viruses, CMV — occurs primarily via droplets and hand-to-face contact, not exclusively through shared food and saliva; the shared-food route is a contributor, not the sole pathway. For immunocompetent non-pregnant adults, CMV acquisition is typically asymptomatic or produces a transient mononucleosis-like illness; the lasting harm framing applies mainly to congenital CMV (seronegative pregnant women) and to H. pylori's long-term ulcer and cancer sequelae. H. pylori annual incidence in US adults is very low (~0.5% per year overall) because most transmission occurs in childhood; adult acquisition via child contact is biologically plausible but difficult to quantify as an isolated probability. RSV and common cold transmission from a sick child to a parent is very common (~47% per acute illness episode) but causes self-limiting illness in healthy adults, not lasting infection. The "lasting infection" fear is most empirically supported for CMV in seronegative pregnant women and H. pylori in seronegative adults with a H. pylori-positive child.

Risks at similar odds

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

Health

Pacifier floor drop

What is the chance a baby gets a stomach illness from fomite/contact exposure (dropped pacifiers, mouthed toys, dirty floors) during infancy?

Health

Infant sugar/salt and adult disease

How much does added sugar and salt in the first two years of life raise a child's risk of developing type 2 diabetes and hypertension in adulthood?

Health

Grandparent loss in childhood

What are the odds a 9-year-old loses at least one grandparent before turning 18?

Health

Silent diabetes

What are the odds of having undiagnosed type 2 diabetes or prediabetes without blood glucose monitoring?

Health

Vision loss

What are the odds of losing significant vision in a lifetime?

Health

Adventure sports

What are the odds of a serious injury from regular participation in surfing, mountain biking, or rock climbing?

Health

Alcohol use disorder

What are the odds of developing alcohol use disorder over a lifetime?

Health

Alzheimer's

What are the odds of dying from Alzheimer's disease or other dementia?

Compare to:

The most rigorously quantified pathway from sharing food with your child to a meaningful infection is cytomegalovirus (CMV). Cannon et al. (2010), in a systematic review of prospective cohort studies, found that seronegative parents of a child confirmed to be shedding CMV faced a 24% annual seroconversion rate — compared to 2.1% for parents whose child was not shedding. CMV is shed in saliva and urine and is efficiently transmitted via shared cups, bitten food, and hand-to-mouth contact; roughly 23% of children in daycare are actively shedding at any given time. For the approximately 45% of US adults who are CMV-seronegative, this is a real risk from a real exposure route — though in immunocompetent non-pregnant adults, acquiring CMV typically produces no symptoms or a brief mononucleosis-like illness that resolves completely.

The stakes change sharply for a seronegative pregnant woman with a toddler in daycare. Primary CMV infection during pregnancy carries a 30–50% fetal transmission rate, and congenital CMV is the leading infectious cause of birth defects and childhood hearing loss in the United States — more common than Down syndrome at birth. CDC and ACOG both advise seronegative pregnant women to practice careful hand hygiene after handling young children’s saliva and urine and to avoid sharing food, cups, or utensils with children under age three. For this specific subgroup, this habit is not merely squeamish — it carries a documented causal pathway to serious fetal harm.

For H. pylori, saliva is an established transmission route (OR 3.9 for children of saliva-positive mothers in the Gastroenterology study), but most US adults either already carry H. pylori from childhood acquisition or are unlikely to acquire it as adults regardless of child contact. RSV and common cold viruses are genuinely transmitted via shared saliva and contaminated cups — the Munywoki household study found RSV in 47% of family members during a child’s acute illness — but these cause self-limiting illness in healthy adults, not lasting infection. For most non-pregnant, immunocompetent parents, finishing the bitten cracker is a modest cold-risk behavior, not a meaningful lasting-infection risk. The one subgroup for whom it genuinely matters is clearly defined, and the precaution for them is specific and actionable.

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] Reviews in Medical Virology (Wiley/PubMed) — Cannon MJ, Hyde TB, Schmid DS — Cytomegalovirus seroconversion rates and risk factors: implications for congenital CMV
    Cytomegalovirus seroconversion rates and risk factors: implications for congenital CMV
    Statistic
    Annual CMV seroconversion rate 24% (95% CI 18–30%) for seronegative parents with a CMV-shedding child; 2.1% (95% CI 0.3–6.8%) when child not shedding; ~50% of seronegative mothers with an infected child under age 2 in daycare seroconvert within 1 year
    Excerpt
    “"Among parents of children infected with CMV, the annual CMV seroconversion rate was 24% (95% CI: 18–30%) for seronegative parents versus 2.1% (95% CI: 0.3–6.8%) for parents of uninfected children." ”
    Source data from
    2010-07-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    Cannon et al. reviewed prospective studies of CMV seroconversion in parents of young children. The 24% annual rate applies to seronegative parents whose child has been confirmed as actively shedding CMV (via urine or saliva culture). This is the rate for any seroconversion (acquiring CMV antibodies), which in immunocompetent adults is typically asymptomatic or produces a brief mononucleosis-like illness. The clinical significance is highest for seronegative pregnant women, for whom primary CMV infection carries a 30–50% fetal transmission rate and is the leading infectious cause of congenital disability in the US. ~45% of US adults are CMV-seronegative; ~23% of young children in daycare are actively shedding CMV at any given time — both background prevalence figures are synthesized from the same Cannon et al. review.
    Independence
    Cannon et al. is a systematic literature review, independent of the H. pylori and RSV sources below; it pooled original prospective cohort studies. The CMV biology is well-replicated and not controversial.
  2. [2] Gastroenterology (American Gastroenterological Association) — Role of infected parents in transmission of Helicobacter pylori to their children
    Role of infected parents in transmission of Helicobacter pylori to their children
    Statistic
    Children of saliva-positive mothers had OR 3.9 (95% CI 1.4–10.6) for H. pylori infection; H. pylori prevalence in children: 17–19% if parent was saliva-positive vs. 5–7% if parent was seronegative
    Excerpt
    “"When the mother was saliva-positive for Helicobacter pylori, the child's infection OR was 3.9 (95% CI 1.4–10.6). H. pylori prevalence in children was 17.3–19.1% when a parent was saliva-positive versus 5.1–6.8% when parents were seronegative." ”
    Source data from
    2002-09-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    This study demonstrates bidirectional saliva-route transmission of H. pylori within families — the association documented here is parent-to-child, but the same mechanism operates in reverse. H. pylori prevalence among US adults is approximately 30–37% overall, higher in older cohorts. For adults who are seronegative, having an infected child roughly doubles to quadruples the intrafamilial transmission risk, but most H. pylori acquisition in the US occurs in childhood (before age 10), so the marginal adult risk from child contact is difficult to isolate as an annual rate. Reported here primarily as mechanistic confirmation that saliva is an established transmission route for a pathogen with real long-term consequences (peptic ulcer in 10–20%, gastric cancer in ~1–2% of infected persons over decades).
    Independence
    Independent of the Cannon CMV review and the RSV transmission source; different pathogen, different study design (cross-sectional H. pylori prevalence and saliva culture), different research group.
  3. [3] PMC/NIH — Munywoki PK et al. — Transmission of Respiratory Syncytial Virus Infection Within Families
    Transmission of Respiratory Syncytial Virus Infection Within Families
    Statistic
    RSV detected in 77% of families within 1 week of index child's hospitalization; RSV detected in 47% of individual family members at that point; children are major amplifiers of RSV within households
    Excerpt
    “"RSV was detected in 77% of families and in 47% of individual family members within one week of an index child's RSV hospitalization. Young children are important sources of RSV transmission to other household members." ”
    Source data from
    2015-04-01
    Accessed
    2026-05-02 · archived copy
    Calculation
    RSV in healthy adults causes cold-like illness; clinically significant (hospitalization risk) primarily for adults over 65 or immunocompromised. This study quantifies household secondary attack rates but does not isolate the shared-food/cup route from droplet and contact transmission, which are the primary RSV routes. Included to establish that child-to- parent infection transmission across multiple pathogens is not a theoretical concern — nearly half of exposed household members acquire infection during a child's acute RSV illness.
    Independence
    Independent of the CMV and H. pylori sources; distinct pathogen, distinct research group (Kenyan household cohort), distinct study design.
  4. [4] CDC Morbidity and Mortality Weekly Report (MMWR) — Premastication of Food by Caregivers of HIV-Exposed Children — Nine U.S. Sites, 2009–2010
    Premastication of Food by Caregivers of HIV-Exposed Children — Nine U.S. Sites, 2009–2010
    Statistic
    31% of primary caregivers reported children received pre-chewed food; pre-chewing linked to transfer of HIV (via blood), hepatitis B, Streptococcus mutans, and other pathogens
    Excerpt
    “"31% of primary caregivers reported that children received pre-chewed food. Pre-mastication has been linked to transfer of HIV (via blood contamination), hepatitis B, Streptococcus mutans, and syphilis." ”
    Source data from
    2011-03-11
    Accessed
    2026-05-02 · archived copy
    Calculation
    CDC MMWR establishes that saliva-sharing behaviors (specifically premastication, the most extreme form) are common, documented transmitters of multiple pathogens. The CDC does not provide a per-event infection probability for immunocompetent adults, but documents the transmission mechanism and affected pathogen list. This source anchors the "real transmission risk" framing and confirms that the behavior is common enough to study at a public health level.
    Independence
    CDC MMWR is independent of the three peer-reviewed sources above. Provides public health surveillance framing rather than mechanistic transmission quantification.

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