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Likelier
Health · reviewed 2026-04-11

What are the odds of a serious adverse drug reaction from prescribed medication?

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
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 58

1.7% lifetime chance

Most people underestimate this.

range 1 in 87 to 1 in 29

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 5.8 1 in 195

● your factors — click this risk ▾ to reveal

≈ As likely as

A single white oval pill resting on a pale neutral background, flat vector illustration.

Perceived

There is no standing survey that isolates "fear of a serious adverse drug reaction from a prescribed medication." Prescription drug risk sits in a cultural blind spot: patients skim the side-effect leaflet, notice that most entries end in "rare," and file the category under "things that happen to other people." The same readers who will happily interrogate a vaccine's one-in-a-million myocarditis signal tend to accept an SSRI, an NSAID, or a beta-lactam antibiotic with almost no probabilistic framing at all. The gap between that intuition and the aggregate hospitalisation and mortality numbers is one of the larger mismatches on this site.

Rough estimate: most US adults would guess well under 1 in 1,000 for a lifetime fatal ADR

Source: editorial intuition, not polled

Actual

~50,000-150,000 fatal adverse drug reactions per year, US (midpoint ~75,000)

US adults, all ages pooled

Show derivation

Two different headline numbers live in this entry and it is worth separating them. (1) Lifetime probability of at least one *hospitalisation-level* serious ADR: CDC reports roughly 500,000 ADE-related hospitalisations per year in the US. Against ~258 million US adults that is a per-adult-year hazard of about 1.94 per 1,000. Compounded over 59 years of remaining adult life: 1 − (1 − 0.00194)^59 ≈ 0.108, i.e. roughly 1 in 9 adults experience a serious ADR requiring hospitalisation at some point. (2) Lifetime probability of a *fatal* ADR: Lazarou et al. (JAMA 1998) estimated ~106,000 fatal ADRs in US hospitals in 1994; more recent analyses have argued that figure is on the high end of the plausible envelope, with defensible modern point estimates in the 50,000-150,000/year range. Using a midpoint of ~75,000 fatal ADRs per year against 258 million US adults gives a per-adult-year hazard of ~2.91 × 10^-4 and a compounded lifetime figure of 1 − (1 − 0.000291)^59 ≈ 0.0171, or roughly 1 in 58. The headline normalized value reports the fatal-ADR lifetime number so it can be compared directly with other mortality entries on the site; the hospitalisation-level figure is discussed in the body text.

Caveats: The population-level number here papers over heterogeneity that matters. Age is …

The population-level number here papers over heterogeneity that matters. Age is the dominant axis: adults 65+ account for more than 600,000 of the ~1.5M annual ADE ED visits, so a healthy 30-year-old on a single medication faces a risk well below the headline and an 80-year-old on eight medications faces a risk several multiples above it. Drug class matters almost as much — CDC identifies anticoagulants (~21% of ADE ED visits), diabetes agents including insulin (~14%), and antibiotics (~13%) as the three biggest categories, with opioids and antiplatelets close behind. The Lazarou 106,000 fatal-ADR/year figure has been contested downward in the literature since publication, which is why Likelier's uncertainty band spans roughly 50,000-150,000 US fatal ADRs per year rather than pinning to the 1994 point estimate. Finally this entry covers only adverse reactions to medications taken as prescribed: overdose (accidental or intentional) is tracked under <a href="/fears/drug-overdose">drug-overdose</a>, and drug-induced anaphylaxis — roughly 59% of all fatal anaphylaxis per Jerschow et al. — is the iatrogenic slice of <a href="/fears/anaphylaxis-fatal">anaphylaxis-fatal</a>.

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Compare to:

The Lazarou meta-analysis is the reference point everyone starts from. Pooling 39 prospective studies of US hospitalised patients, Lazarou, Pomeranz, and Corey reported a 6.7% incidence of serious adverse drug reactions and a 0.32% incidence of fatal ADRs per admission, extrapolating to roughly 2.2 million serious and 106,000 fatal ADRs among US inpatients in 1994 — a number that, if accurate, placed adverse drug reactions between the fourth and sixth leading cause of death in the country. Pirmohamed’s independent UK analysis of 18,820 prospective admissions six years later found almost the same admission-level rate (6.5% of admissions ADR-related) with a more conservative 0.15% case-fatality, and CDC’s ongoing surveillance puts current US ADE volume at roughly 1.5 million emergency department visits and 500,000 hospitalisations per year. Put together, the lifetime probability of a hospitalisation- level ADR for a typical US adult is something like 1 in 9; the lifetime probability of a fatal one lands around 1 in 58, with an uncertainty band spanning roughly 1 in 90 to 1 in 30 depending on which modern re-estimate of the Lazarou figure you believe.

The comparative frame is the part that is genuinely underrated. Prescription medications taken as directed cause a per-exposure rate of serious adverse events that runs roughly 100 to 1,000 times higher than the per-dose rate for modern vaccines, where serious adverse events sit in the one-in-100,000-to-one-in-a-million band. The cultural attention runs in exactly the opposite direction: a myocarditis signal at 1 in 10,000 triggers years of front-page debate, while a 6.5% admission-level ADR rate from ordinary prescribing has been common knowledge in clinical pharmacology for thirty years without meaningfully reshaping public intuition. Part of that is framing — an ADR attributed to “the patient’s underlying condition” is invisible in a way a vaccine reaction is not — and part is that prescription drug risk is distributed across thousands of individually-small events rather than clustered into newsworthy episodes.

The headline does not apply evenly. The fatal-ADR burden concentrates sharply in older adults on multiple medications: CDC’s own surveillance shows that adults 65+ account for more than 600,000 of the roughly 1.5 million annual ADE ED visits, and the three drug classes responsible for the majority of those visits — anticoagulants (~21%), diabetes agents including insulin (~14%), and antibiotics (~13%) — are also the classes whose risk profile scales steeply with age, renal function, and polypharmacy. A young-otherwise-healthy adult on a single well-tolerated agent faces a risk a small fraction of the headline number; a frail 80-year-old on eight concurrent medications faces a risk several multiples of it. The population-average 1-in-58 figure is the right answer to “how large is the aggregate burden of prescription medication mortality in the US?” and the wrong answer to almost any more specific question about a particular reader.

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] JAMA / Lazarou J, Pomeranz BH, Corey PN — Incidence of Adverse Drug Reactions in Hospitalized Patients: A Meta-analysis of Prospective Studies
    Incidence of Adverse Drug Reactions in Hospitalized Patients: A Meta-analysis of Prospective Studies
    Statistic
    Serious ADR incidence 6.7% (95% CI 5.2-8.2%); fatal ADR incidence 0.32% (95% CI 0.23-0.41%); estimated 2,216,000 serious and 106,000 fatal ADRs among US hospitalised patients in 1994
    Excerpt
    “"The overall incidence of serious ADRs was 6.7% (95% confidence interval [CI], 5.2%-8.2%)" and "of fatal ADRs was 0.32% (95% CI, 0.23%-0.41%) of hospitalized patients." "2216000 (1721000-2711000) hospitalized patients had serious ADRs and 106000 (76000-137000) had fatal ADRs." ”
    Source data from
    1998-04-15
    Accessed
    2026-04-11 · archived copy
    Calculation
    Lazarou et al. pooled 39 prospective studies of hospitalised US patients and reported a 6.7% serious ADR incidence and a 0.32% fatal ADR incidence (per admission, not per patient-year). Extrapolated to 1994 US hospital volumes the authors estimated ~2.2M serious and ~106K fatal ADRs per year, which — if accurate — placed ADRs between the 4th and 6th leading cause of US death at the time. The 106K/year figure anchors the upper end of Likelier's uncertainty band; the per-admission rates are the cleanest cross-study signal and dominate the literature's central tendency.
    Independence
    Lazarou is a meta-analysis of 39 earlier prospective studies, so it is not independent of those constituent datasets, but it is the canonical reference point and methodologically independent of both Pirmohamed (UK, prospective admissions cohort) and the CDC ADE surveillance (US emergency department sample).
  2. [2] BMJ / Pirmohamed M, James S, Meakin S, et al. — Adverse drug reactions as cause of admission to hospital: prospective analysis of 18,820 patients
    Adverse drug reactions as cause of admission to hospital: prospective analysis of 18,820 patients
    Statistic
    6.5% of UK hospital admissions ADR-related; overall fatality 0.15%; ADR directly caused the admission in 80% of cases
    Excerpt
    “"There were 1225 admissions related to an ADR, giving a prevalence of 6.5%" and "The overall fatality was 0.15%." ”
    Source data from
    2004-07-03
    Accessed
    2026-04-11 · archived copy
    Calculation
    Pirmohamed et al. prospectively analysed 18,820 UK adult hospital admissions and found 6.5% were ADR-related, with a 0.15% fatality rate among those admissions. The result replicates Lazarou's order of magnitude in a completely independent (UK NHS, 2004) dataset and with a cleaner prospective design, which is why it is the preferred independence check in this entry. The lower fatality rate vs. Lazarou reflects both methodology (admission-triggering ADRs vs. in-hospital ADRs) and a more conservative treatment of causality attribution.
    Independence
    Fully independent of Lazarou: different country, different decade, different study design (prospective admissions cohort rather than meta-analysis of in-hospital ADRs). This is the strongest cross-check on the hospitalisation-level incidence figure.
  3. [3] Centers for Disease Control and Prevention (CDC) — FastStats: Medication Safety Data
    FastStats: Medication Safety Data

    See all 2 Likelier entries citing this source →

    Statistic
    ~1.5 million US ED visits per year for ADEs; ~500,000 require hospitalisation; >600,000 ED visits per year among adults 65+
    Excerpt
    “"More than 1.5 million people visit emergency departments for ADEs each year in the United States, and almost 500,000 require hospitalization." "Older adults (65 years or older) visit emergency departments more than 600,000 times each year, more than twice as often as younger people." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    CDC's ADE surveillance (built on the National Electronic Injury Surveillance System — Cooperative Adverse Drug Event Surveillance project, NEISS-CADES) gives the cleanest contemporary denominator for US serious ADRs: ~1.5M ED visits and ~500K hospitalisations per year. Likelier uses the 500K/year hospitalisation figure as the anchor for the "serious ADR lifetime risk ≈ 1 in 9" calculation in the body. The ~600K/year figure for adults 65+ is what drives the "age 75+ multiplier 5×" personal factor below.
    Independence
    Independent of Lazarou and Pirmohamed: CDC ADE surveillance is a US national ED sample (NEISS-CADES), not a hospitalised-inpatient cohort. It is the only one of the three sources whose numerator directly counts individual ADE events in the general population rather than extrapolating from a study sample.
  4. [4] European Journal of Clinical Pharmacology / Patel PB, Patel TK — Mortality among patients due to adverse drug reactions that occur following hospitalisation: a meta-analysis
    Mortality among patients due to adverse drug reactions that occur following hospitalisation: a meta-analysis
    Statistic
    Fatal ADR prevalence during hospitalisation: 0.11% (95% CI 0.06-0.18%) from 48 studies; elderly populations 0.27%
    Excerpt
    “"The pooled prevalence of fatal adverse drug reactions occurring during hospitalisation was 0.11% (95% CI: 0.06-0.18%; I2 = 93%)." ”
    Source data from
    2019-09-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    Patel & Patel's 48-study meta-analysis directly updates Lazarou's 0.32% fatal ADR figure with a modern pooled estimate of 0.11%. Extrapolating to ~34M US hospital admissions/year yields ~37,000 fatal ADRs/year — well within this entry's 50,000-150,000 uncertainty band but below Lazarou's 106,000 point estimate, confirming that the 75,000/year midpoint is reasonable. The study also found that elderly populations (0.27%) and ICU/internal-medicine wards (0.46%) drive the overall rate upward.
    Independence
    Fully independent of Lazarou (different studies included, different decades, different methodology) and of Pirmohamed (UK prospective vs. global 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