Skip to content
Likelier
Health · reviewed 2026-04-19

What are the odds of being harmed by not reading drug labels or mixing medications?

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

Lifetime probability · lifetime, US adult

1 in 35

2.8% lifetime chance

Most people underestimate this.

range 1 in 59 to 1 in 22

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 5.9 1 in 235

● your factors — click this risk ▾ to reveal

≈ As likely as

Several overlapping pill shapes in muted tones against a pale background, flat vector illustration.

Perceived

No standing survey isolates public perception of harm from medication non-adherence or drug-drug interactions as a discrete fear. Most adults file drug-label compliance under "common sense I already follow," which is precisely the problem: CDC data show that roughly half of patients with chronic conditions do not take medications as directed, yet almost none of them would describe themselves as at elevated risk. Polypharmacy interactions occupy an even deeper blind spot. The average reader knows vaguely that "grapefruit and statins" is a thing, but cannot name the mechanism (CYP3A4 inhibition) or estimate the magnitude (up to 260% elevation in simvastatin blood levels). The gap between that hazy awareness and the 125,000 deaths attributed annually to non-adherence alone is one of the wider perception mismatches in the medication-risk space.

Rough estimate: Most adults would place their lifetime risk of serious harm from medication misuse well below 1 in 100

Source: editorial intuition, not polled

Actual

~125,000 US deaths/year from non-adherence; ~1.5 million ER visits/year for adverse drug events; ~99,628 emergency hospitalisations/year in adults 65+

US adults, all ages

Show derivation

The 125,000 deaths/year figure is the widely cited estimate for US deaths attributable to medication non-adherence, drawn from Osterberg & Blaschke (NEJM 2005) and corroborated by the Annals of Internal Medicine and CDC medication-safety literature. Against a US adult population of ~258 million, this gives a per-adult-year hazard of ~4.84 x 10^-4. Compounded over 59 years of remaining adult life (from age 18): 1 - (1 - 0.000484)^59 ≈ 0.0282, or roughly 1 in 35. This figure encompasses deaths from non-adherence (skipped doses, premature discontinuation), incorrect dosing (not reading labels), and drug-drug/drug-food interactions (polypharmacy, grapefruit- statin, warfarin-vitamin K). It deliberately excludes intentional overdose, which is tracked under drug-overdose. The number is conservative in one direction (many non-adherence deaths are attributed to the underlying disease rather than the treatment failure) and aggressive in another (the 125,000 figure has been contested as poorly sourced). The uncertainty band reflects this methodological spread.

Caveats: The 125,000 deaths/year figure for medication non-adherence is widely cited but …

The 125,000 deaths/year figure for medication non-adherence is widely cited but poorly sourced at its origin — it traces to a chain of secondary citations rather than a single definitive primary study, and the true number may be anywhere from 75,000 to 200,000 depending on how strictly "non-adherence death" is defined. The entry deliberately uses the 125,000 midpoint and places a wide uncertainty band around the lifetime figure. This entry covers harm from misuse (wrong dose, skipped dose, unrecognised interaction) of medications taken with therapeutic intent; it does not cover intentional overdose or recreational drug misuse, which are tracked under drug-overdose. The grapefruit-statin and warfarin-vitamin K examples are illustrative of the interaction mechanism, not the primary drivers of mortality — anticoagulant dosing errors and insulin errors are the bigger killers in the Budnitz data. Readers on a single medication with no comorbidities face a risk well below the headline; readers on complex multi-drug regimens face a risk several multiples above it.

Risks at similar odds

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

Health

Medication reaction

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

Health

Medical error death

What are the odds of dying from a medical error?

Health

Drug overdose

What are the odds of dying from a drug overdose?

Health

High-heel ER visit

What are the odds of an emergency-room visit from a high-heel-related injury over a lifetime of wearing heels?

Health

Adult-onset food allergy

What are the odds of developing a food allergy as an adult?

Health

Air pollution

What are the odds of dying prematurely from air pollution?

Health

Appendicitis

What are the odds of getting appendicitis in your lifetime?

Health

Benzo dependence

What are the odds of developing benzodiazepine dependence after a standard prescription?

Compare to:

The numbers on medication misuse hide in plain sight. CDC surveillance counts more than 1.5 million emergency department visits and nearly 500,000 hospitalisations per year in the United States for adverse drug events, and the medication non-adherence literature attributes roughly 125,000 deaths annually to patients not taking medications as directed — skipped doses, premature discontinuation, unrecognised interactions, and simple failure to read the label. Budnitz et al., writing in the New England Journal of Medicine in 2011, found that among adults 65 and older alone there were an estimated 99,628 emergency hospitalisations per year for adverse drug events, with nearly two thirds caused by unintentional overdoses of just four drug classes: warfarin, insulin, oral antiplatelet agents, and oral hypoglycaemics. These are not exotic medications or rare idiosyncratic reactions. They are the most commonly prescribed drugs in the country, taken incorrectly by patients who did not understand the dosing, did not check for interactions, or simply stopped paying attention.

The interaction problem compounds the non-adherence problem in a way that escapes intuition. A patient on warfarin who increases vitamin K intake from leafy greens can swing their INR into a bleeding-risk zone within days. A patient on simvastatin who drinks grapefruit juice can elevate blood levels of the drug by 260%, enough to trigger rhabdomyolysis. The FDA maintains an explicit consumer warning about grapefruit interactions with statins, calcium channel blockers, and immunosuppressants, but the warning reaches a small fraction of the patients who need it. Polypharmacy — defined as five or more concurrent medications — is the structural accelerant: drug-drug interaction risk scales non-linearly with the number of agents, and roughly 40% of US adults over 65 meet the polypharmacy threshold. The Budnitz finding that nearly half of ADE hospitalisations fell on adults 80 and older is not a coincidence; it is the predictable output of a system that gives elderly patients complex regimens and minimal pharmacist oversight.

The perception gap on this fear runs in one direction: downward. Most adults would not place “didn’t read the drug label” anywhere near their top-ten health risks, and essentially none would estimate their lifetime probability of fatal medication misuse at 1 in 35. That number is higher than the lifetime odds of dying in a car crash (1 in 93) and comparable to the lifetime odds of a fatal adverse drug reaction from medications taken correctly (1 in 58 on the medication-serious-adverse-event entry). The difference is that misuse deaths are, by definition, preventable: reading the label, checking interactions, and maintaining adherence to prescribed regimens would eliminate the majority of them. The barrier is not pharmacology. It is attention.

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] New England Journal of Medicine / Budnitz DS, Lovegrove MC, Shehab N, Richards CL — Emergency Hospitalizations for Adverse Drug Events in Older Americans
    Emergency Hospitalizations for Adverse Drug Events in Older Americans
    Statistic
    An estimated 99,628 emergency hospitalisations per year for adverse drug events in US adults aged 65+, 2007-2009; nearly two thirds due to unintentional overdoses; warfarin, insulin, oral antiplatelet agents, and oral hypoglycaemic agents most commonly implicated
    Excerpt
    “"There were an estimated 99,628 emergency hospitalizations (95% confidence interval [CI], 55,531 to 143,724) for adverse drug events in U.S. adults 65 years of age or older each year from 2007 through 2009. Nearly half of these hospitalizations were among adults 80 years of age or older (48.1%)." ”
    Source data from
    2011-11-24
    Accessed
    2026-04-18 · archived copy
    Calculation
    Budnitz et al. used nationally representative NEISS-CADES data to estimate ~99,628 annual emergency hospitalisations for ADEs in adults 65+. Nearly two thirds (65.7%) were due to unintentional overdoses — i.e., dosing errors or failure to read labels correctly — rather than idiosyncratic reactions. The four most commonly implicated drug classes (warfarin, insulin, oral antiplatelets, oral hypoglycaemics) are precisely the medications where label-reading and interaction awareness matter most. This study anchors the "older adult" slice of the entry and validates the claim that label misuse and interaction ignorance, not exotic side-effects, drive the bulk of ADE hospitalisations.
    Independence
    Independent of the CDC FastStats aggregate and the Osterberg non-adherence mortality estimate. Uses the same NEISS-CADES surveillance platform as CDC FastStats but reports a distinct age-stratified analysis from a different time window.
  2. [2] Centers for Disease Control and Prevention (CDC) — FastStats: Medication Safety Data
    FastStats: Medication Safety Data

    See all 2 Likelier entries citing this source →

    Statistic
    More than 1.5 million US ED visits per year for adverse drug events; almost 500,000 require hospitalisation; adults 65+ account for more than 600,000 ED visits
    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
    2024-05-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    CDC's aggregate ADE surveillance provides the contemporary US denominator. Of the ~1.5 million annual ED visits, a substantial fraction involve medication misuse (wrong dose, missed dose, drug interaction) rather than idiosyncratic reactions to correctly taken medications. The 500,000 hospitalisations/year figure is the basis for the non-fatal serious-harm estimate. Combined with the 125,000 deaths/year non-adherence figure, it implies roughly 375,000 hospitalisations/year result in recovery — consistent with the overall case-fatality rate in the ADE literature.
    Independence
    CDC FastStats is the authoritative US national surveillance estimate. It shares the NEISS-CADES platform with Budnitz et al. but reports a broader age range and more recent time window.
  3. [3] The Permanente Journal / Kleinsinger F — The Unmet Challenge of Medication Nonadherence
    The Unmet Challenge of Medication Nonadherence
    Statistic
    Medication non-adherence causes approximately 125,000 preventable deaths and $100 billion in preventable medical costs annually in the US; 40-50% of patients with chronic diseases do not adhere to prescribed regimens
    Excerpt
    “"Nonadherence is thought to cause at least 100,000 preventable deaths and $100 billion in preventable medical costs per year." ”
    Source data from
    2018-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    Kleinsinger's review synthesises the medication non-adherence literature and reports the 100,000-125,000 deaths/year figure that anchors this entry's native numerator. The 40-50% chronic-disease non-adherence rate is the behavioural denominator: roughly half of all adults on long-term medications are not taking them as directed, and a fraction of those non-adherent patients die from the resulting treatment failure. The $100 billion cost estimate is not used in the probability calculation but contextualises the scale of the problem.
    Independence
    Kleinsinger is a narrative review synthesising prior primary studies (including Osterberg & Blaschke NEJM 2005 and others). It is not independent of those upstream estimates but provides the most accessible modern summary of the 125,000 figure.
  4. [4] U.S. Food and Drug Administration (FDA) — Grapefruit Juice and Some Drugs Don't Mix
    Grapefruit Juice and Some Drugs Don't Mix
    Statistic
    Grapefruit can increase blood levels of certain statins (simvastatin, atorvastatin) by inhibiting CYP3A4; one study found a 260% increase in simvastatin blood levels with grapefruit juice
    Excerpt
    “"Grapefruit juice can cause the body to metabolize drugs abnormally, resulting in higher or lower levels of the drug in the blood. When there is too much drug in the blood, you may have more side effects." ”
    Source data from
    2021-07-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The FDA consumer update documents the CYP3A4-mediated grapefruit-statin interaction mechanism that is the canonical example of a food-drug interaction in this entry. The 260% simvastatin blood-level increase is the headline figure used to illustrate how a common food can turn a safe medication into a dangerous one. This source is used for the drug-interaction narrative, not for the headline mortality calculation.
    Independence
    Independent of the CDC and Budnitz sources. FDA consumer guidance based on pharmacokinetic studies, not epidemiological surveillance.

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