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Likelier
Health · reviewed 2026-04-16

What are the odds of being harmed by taking over-the-counter painkillers regularly?

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, subgroup

1 in 10

10% lifetime chance

Most people underestimate this.

range 1 in 20 to 1 in 5.0

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 2.0 1 in 17

● your factors — click this risk ▾ to reveal

≈ As likely as

A single white pill resting on a pale muted surface, flat vector illustration.

Perceived

OTC painkillers sit in an unusual perceptual slot: readily available on grocery shelves, universally familiar, and mentally filed alongside vitamins and antacids rather than alongside drugs. The usual public intuition is that the ceiling of harm from ibuprofen, naproxen, aspirin, or acetaminophen taken "a few times a week" is a mild stomach ache or a headache that doesn't go away. That intuition undercounts a very real chronic-use hazard: serious GI bleeding, acute kidney injury, and acetaminophen-driven acute liver failure each have measurable annual event rates in habitual users. No rigorous nationally-representative survey measures the perceived-harm distribution for chronic OTC analgesic use, so this is flagged as intuition, not a polled number.

Rough estimate: Most chronic users guess the lifetime serious-adverse-event risk well below 1 in 100

Source: editorial intuition, not polled

Actual

~1 in 100 per year serious GI event (chronic NSAID user)

chronic NSAID user (≥3×/week, >1 year), US adult, mid-life onward

Show derivation

Reference subgroup: a US adult who uses an OTC NSAID (ibuprofen, naproxen, or low-dose aspirin taken for pain rather than cardioprotection) or acetaminophen three or more times per week across roughly 20 years of adult life, without gastroprotection from a proton-pump inhibitor. The ~10% headline is a rounded mid-point for the cumulative probability of a clinically significant adverse event — upper GI bleed or ulcer requiring medical attention, acute kidney injury, an NSAID-attributable cardiovascular event, or acetaminophen-associated hepatotoxicity — across that chronic-use window. Bracketed 5-20% to reflect (a) the Lanas 2005 nationwide cohort incidence of ~122 major GI events per 100,000 persons per year averaged across the full population, which rises to roughly 1 per 100-1000 per year among habitual NSAID users and to 1 per ~110 per year in chronic users over 75, and (b) the Marcum/Hanlon 2010 figure of ~41,000 hospitalizations and ~3,300 deaths per year among older adult NSAID users in the US. Compounding an annual event hazard of ~0.5% per year (middle-aged chronic user weighted-average across GI, renal, CV, and hepatic endpoints) over 20 years: 1 - (1 - 0.005)^20 ≈ 0.095, rounded to ~10%. The hazard rises steeply with age: the same compounding over 20 years of chronic use starting at age 65 (annual hazard closer to 1%) produces ~18%. The hazard falls steeply for users under 50 without risk factors. Scope is subgroup_lifetime because this is a per-chronic-user cumulative probability, not a general-population lifetime risk, and not directly comparable to the population-scope figures on other Likelier pages.

Caveats: This entry is specifically the cumulative serious-adverse-event probability for …

This entry is specifically the cumulative serious-adverse-event probability for a chronic OTC analgesic user — operationally a US adult taking an NSAID or acetaminophen three or more times per week across roughly 20 years of adult life without gastroprotection. It is not the risk from short-course or occasional use, where the per-event hazard is low enough that the compounded probability rounds to near-baseline. Acute use for a headache, a hangover, a sprained ankle, a menstrual cramp, or a post-operative week is not what this number is measuring. The headline also mixes four distinct endpoints — upper GI bleed or ulcer, acute kidney injury, an NSAID-attributable cardiovascular event, and acetaminophen-associated hepatotoxicity — into a single composite "clinically significant harm" outcome; readers interested in a specific endpoint should read the regional_breakdown and personal_factor_multipliers rows. The per-agent risk profile differs: naproxen has the lowest cardiovascular signal in the Trelle meta-analysis; ibuprofen and diclofenac sit higher; ibuprofen and naproxen share a broadly similar GI profile at OTC doses; low-dose aspirin carries its own substantial contribution to the combined GI mortality total (~1/3 per Lanas 2005). Acetaminophen at or below the 4 g/day label ceiling is largely safe for the liver in the absence of alcohol, chronic liver disease, or concurrent use of a second acetaminophen-containing product — the unintentional overdose pattern in Lee's registry is dominated by precisely those three modifiers. Individual outcomes depend on age, sex, dose, frequency, duration, specific agent, coadministration (PPIs, anticoagulants, antiplatelets, SSRIs), pre-existing GI/renal/hepatic/cardiovascular disease, H. pylori status, alcohol intake, and a long list of pharmacogenomic modifiers. The 5-20% uncertainty band is wide on purpose: composite adverse-event probabilities for chronic OTC use are less tightly constrained than the aggregate annual mortality/hospitalization totals.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Occasional OTC user (<1×/week, any age, no risk factors) 1 in 500 Near-baseline. Acute AEs at label dose and frequency are rare; most epidemiological signal comes from chronic users.
Chronic NSAID user (3+×/week, middle-aged, no PPI) 1 in 10 Headline subgroup. ~0.5% annual serious-AE hazard (GI + renal + CV composite) compounded over ~20 years of chronic use.
Chronic NSAID user, age 65+ (no PPI) 1 in 5.6 Peptic ulcer hospitalization rate 2-6 per 1,000/year per Marcum/Hanlon 2010; compounded annual hazard closer to 1%.
Chronic acetaminophen at ≤4 g/day label dose, no alcohol 1 in 100 Hepatotoxicity at or below the label ceiling is rare in the absence of alcohol or pre-existing liver disease; ~30,000 acetaminophen-tox hospitalizations/year spread across ~50M adult users is ~0.06%/year.
Chronic acetaminophen user + ≥2 drinks/day 1 in 20 Alcohol-induced CYP2E1 upregulation sharply raises NAPQI production at any given acetaminophen dose; unintentional hepatotoxicity concentrated in this group per Lee 2008.
Chronic NSAID + daily low-dose aspirin (combined GI risk) 1 in 6.7 Upper-GI-bleed hazards multiply rather than add; up to one-third of NSAID/aspirin GI deaths attributable to low-dose aspirin per Lanas 2005.

Risks at similar odds

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

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Compare to:

The chronic-use regime is where the numbers get interesting. For a US adult who takes an OTC NSAID three or more times a week across twenty years of adult life without a proton-pump inhibitor, the cumulative probability of a clinically significant adverse event (an upper GI bleed, an acute kidney injury, an NSAID-attributable cardiovascular event, or acetaminophen-linked hepatotoxicity) lands somewhere around 1 in 10, bracketed between 1 in 20 and 1 in 5 depending on age and comorbidity. Lanas and colleagues’ nationwide cohort put the crude major-GI-event rate at roughly 122 per 100,000 person-years averaged across the full population, with 15.3 deaths per 100,000 NSAID users per year once you concentrate the hazard on the subset that actually takes the drugs. Marcum and Hanlon’s US figures are in the same neighbourhood: about 41,000 hospitalizations and 3,300 deaths per year from NSAID adverse effects among older adults alone. Acetaminophen runs on a different track but ends up in a similar order of magnitude, accounting for roughly half of acute liver failure cases in the US per Lee’s Acute Liver Failure Study Group registry, with a 30% mortality rate once ALF develops.

The interesting feature of this entry is the shape of the perceived/actual gap. OTC status itself is a powerful perceptual signal: drugs you can put in a grocery basket next to the toothpaste are drugs that, most adults reason, cannot plausibly cause a hospital admission. That reasoning was built for short-course use, which is overwhelmingly what the OTC label envisions, and it breaks under chronic use. The annual hazard in habitual users is small in absolute terms (on the order of half a percent per year for a middle-aged user, closer to a full percent for someone over 65), but it compounds. Twenty years of a habit that looks like “a couple of ibuprofen most mornings for the knee” produces a cumulative event probability in the neighbourhood of lifetime car-crash mortality, and the public intuition has not caught up to that arithmetic. This is one of the entries where actual risk exceeds perceived risk by roughly an order of magnitude, which is why it is tagged underrated rather than calibrated.

Where the headline doesn’t apply: everywhere outside the tightly-defined chronic-use subgroup. Occasional users, younger adults without GI, renal, or cardiovascular risk factors, and people taking a short course for a specific acute indication sit at or near baseline — the per-event hazard at label dose and label frequency is genuinely small, and the compounded figure on this page is about exposure duration, not exposure itself. Specific-agent choice matters: naproxen has the lowest cardiovascular signal in the Trelle network meta-analysis; ibuprofen and diclofenac sit higher; low-dose aspirin carries its own non-trivial share of NSAID- attributable GI mortality in Lanas’s data. Acetaminophen is largely benign for the liver when kept below 4 g/day in the absence of alcohol, chronic liver disease, or a second acetaminophen-containing product in the same medicine cabinet. The exception, and the reason acetaminophen leads the US acute-liver-failure table, is the interaction with heavy alcohol use and with acetaminophen-containing prescription opioids: roughly half of the US acetaminophen ALF cases in Lee’s registry are unintentional overdoses driven by exactly those two modifiers, and the combined hazard is far outside anything the OTC label implies.

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] American Journal of Gastroenterology (Lanas et al.) — A nationwide study of mortality associated with hospital admission due to severe gastrointestinal events and those associated with nonsteroidal antiinflammatory drug use
    A nationwide study of mortality associated with hospital admission due to severe gastrointestinal events and those associated with nonsteroidal antiinflammatory drug use
    Statistic
    121.9 major GI events per 100,000 persons per year; 21.0-24.8 NSAID/aspirin-attributable deaths per million population per year; 15.3 deaths per 100,000 NSAID/aspirin users per year; up to one-third of those deaths attributable to low-dose aspirin
    Excerpt
    “"Mortality rates associated with either major upper or lower GI events are similar but upper GI events were more frequent. [...] NSAID/aspirin use was associated with 21.0-24.8 deaths per million people per year, of which up to one-third can be attributed to low-dose aspirin use." ”
    Source data from
    2005-08-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Lanas 2005 is the canonical nationwide incidence anchor for NSAID-attributable serious GI events. 121.9 events per 100,000 person- years averaged across the full population corresponds to ~0.12% per year; concentrating that hazard on the subset of the population that actually uses NSAIDs chronically pushes the per-user rate to roughly 0.5-1% per year depending on age and comorbidity. 15.3 deaths per 100,000 users per year is the per-user case-fatality anchor. The one-third attributable to low-dose aspirin matters because the cardioprotective-aspirin population is partially but not entirely disjoint from the OTC-painkiller population in the public conversation. Used as the primary relative-risk and event-incidence basis for the ~0.5% annual per-chronic-user hazard used in the normalized compounding.
    Independence
    Lanas 2005 is a Spanish nationwide hospital-admissions cohort. Generalizing to US adults assumes comparable NSAID prescribing and GI epidemiology; the US per-capita figures (Marcum/Hanlon 2010 below) agree to within a factor of two. Treat as an independent European anchor cross-checked against the US estimate.
  2. [2] Annals of Long-Term Care (Marcum & Hanlon) — Recognizing the Risks of Chronic Nonsteroidal Anti-Inflammatory Drug Use in Older Adults
    Recognizing the Risks of Chronic Nonsteroidal Anti-Inflammatory Drug Use in Older Adults
    Statistic
    NSAID use causes an estimated 41,000 hospitalizations and 3,300 deaths each year among older adults in the US; peptic ulcer hospitalization rises from 1 per 1,000/year under age 50 to 2-6 per 1,000/year over 65; acute renal failure risk doubles within 30 days of initial NSAID use; ~40% of adults 65+ fill an NSAID prescription annually
    Excerpt
    “"NSAID use causes an estimated 41,000 hospitalizations and 3300 deaths each year among older adults. [...] the rate of hospitalizations for peptic ulcer disease (PUD) increases with age, from 1 per 1000 per year in those under 50 to 2-6 per 1000 per year in older adults (>65 yr). [...] the risk of ARF was increased nearly twofold for all NSAIDs (nonselective and COX-2 selective) within 30 days of initial use." ”
    Source data from
    2010-09-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    The 41,000 hospitalizations / 3,300 deaths per year figure for older US adults on NSAIDs is the domestic anchor. Across a denominator of ~25 million older adult NSAID users (~40% of ~60 million US 65+ adults), that is roughly 164 hospitalizations per 100,000 users per year and 13 deaths per 100,000 users per year — within a factor of two of the Lanas Spanish figures, confirming the cross-population consistency. Peptic ulcer hospitalization rate of 2-6 per 1,000/year in older adults is the basis for the elderly row in the regional_breakdown and the ~1% annual GI-event hazard in the headline compounding for the over-65 subgroup.
    Independence
    Marcum/Hanlon synthesize Lanas and the ARAMIS database; partially dependent on Lanas 2005 above for the European incidence figures but draws on distinct US claims data for the US-specific hospitalization and mortality totals. Treat as a related US-focused line of evidence.
  3. [3] Hepatology Research (Lee) — Acetaminophen-related acute liver failure in the United States
    Acetaminophen-related acute liver failure in the United States
    Statistic
    Acetaminophen accounts for approximately 50% of acute liver failure cases in the US; 30% mortality once acute liver failure develops; nearly half of US acetaminophen ALF cases are unintentional overdoses of therapeutic products
    Excerpt
    “"Acetaminophen overdoses are the number one cause of acute liver failure (ALF) in the United States; they account for 50% of all cases of ALF and carry a 30% mortality. [...] nearly half of U.S. cases are unintentional, resulting from overuse of acetaminophen-containing pain relief products rather than deliberate self-harm." ”
    Source data from
    2008-11-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Lee's US Acute Liver Failure Study Group registry is the definitive source that acetaminophen is the single leading cause of ALF in the US. The unintentional-overdose fraction (~50% of acetaminophen ALF cases) is load-bearing: these are chronic users who stayed at or slightly above the 4 g/day label limit, often while also drinking alcohol or combining an OTC acetaminophen product with an acetaminophen-containing prescription opioid. The ~500 deaths per year US figure commonly cited in the FDA literature is the product of ~1,600 acetaminophen-associated ALF cases per year and the ~30% fatality rate. Used as the anchor for the acetaminophen component of the compounded hazard and for the alcohol-acetaminophen interaction multiplier.
    Independence
    The US Acute Liver Failure Study Group registry is the primary data source; Blieden 2014 (below) and subsequent FDA regulatory documents draw directly on Lee's registry data. Treat Lee 2008, Blieden 2014, and the FDA figures as a single largely-dependent line of evidence.
  4. [4] Expert Review of Clinical Pharmacology (Blieden et al.) — A perspective on the epidemiology of acetaminophen exposure and toxicity in the United States
    A perspective on the epidemiology of acetaminophen exposure and toxicity in the United States
    Statistic
    ~30,000 patients hospitalized yearly for acetaminophen toxicity in the US; ~6% of adults take doses exceeding 4 g/day at least occasionally; up to 50% of acetaminophen overdoses are unintentional; 17% of adults with unintentional overdose experience liver damage
    Excerpt
    “"Approximately 6% of adults are prescribed acetaminophen doses of more than 4 g/day [...] 30,000 patients are hospitalized yearly for acetaminophen toxicity [...] up to 50% of overdoses are unintentional in nature [...] 17% of adults with unintentional overdose experience liver damage." ”
    Source data from
    2014-05-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Blieden 2014 is the behavioural-epidemiology source: ~6% of adult acetaminophen users exceed the 4 g/day label ceiling on at least some days, and ~30,000 are hospitalized per year with acetaminophen toxicity. 30,000 / ~50 million US adults using acetaminophen at least weekly ≈ 0.06% per year hospitalization rate — small at the population level, but concentrated in the chronic-user-plus-alcohol or chronic-user-plus-combination-product subgroups. This is the source for the regional_breakdown row on chronic acetaminophen with alcohol and the personal_factor_multiplier for heavy alcohol use.
    Independence
    Blieden draws on the same Acute Liver Failure Study Group registry as Lee 2008 above, cross-linked with Poison Control Center call data and the Kaufman Slone Survey of OTC use prevalence. Treat as partially dependent on Lee 2008; independent on the prevalence-of-use data.
  5. [5] BMJ (Trelle et al.) — Cardiovascular safety of non-steroidal anti-inflammatory drugs: network meta-analysis
    Cardiovascular safety of non-steroidal anti-inflammatory drugs: network meta-analysis
    Statistic
    Network meta-analysis of 31 RCTs and 116,429 patients: ibuprofen associated with a stroke RR of 3.36 (95% credibility interval 1.00-11.6); diclofenac with a cardiovascular-death RR of 3.98 (1.48-12.7); naproxen appeared least harmful
    Excerpt
    “"Although uncertainty remains, little evidence exists to suggest that any of the investigated drugs are safe in cardiovascular terms. Naproxen seemed least harmful. Cardiovascular risk needs to be taken into account when prescribing any non-steroidal anti-inflammatory drug." ”
    Source data from
    2011-01-11
    Accessed
    2026-04-16 · archived copy
    Calculation
    Trelle 2011 is the cardiovascular half of the chronic-NSAID hazard picture. The RCTs pooled here were mostly prescription-dose trials, so the absolute CV event rate attributable to OTC-dose ibuprofen is lower than the abstract's relative risks imply. For a middle-aged chronic user the CV component of the ~0.5% annual hazard is on the order of 0.1-0.2% per year, rising substantially in users with pre-existing cardiovascular disease. The differential hazard across specific NSAIDs (naproxen < ibuprofen < diclofenac) is the basis for the caveat distinguishing between naproxen and the other OTC NSAIDs.
    Independence
    Trelle 2011 is a pooled RCT meta-analysis, methodologically distinct from the Lanas and Marcum/Hanlon observational cohorts above. Independent line of evidence for the cardiovascular component.

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