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Perceived fear vs. actual probability

What are the odds of harm from drinking too much coffee or caffeine?

Lifetime probability

~1 in 366

0.3% lifetime chance

Most people overestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Health · reviewed 2026-06-12

What are the odds of harm from drinking too much coffee or caffeine?

Evidence quality 4.75/5

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
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence
Source Government statistic · U.S. Food and Drug Administration
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 223 1 in 441

● your factors — click this risk ▾ to reveal

  1. Your factors
A single overfull coffee cup with a faint ripple on the surface, flat vector illustration in muted warm browns and off-white.

Perceived

Caffeine sits in an unusual perceptual spot: it is simultaneously the most widely consumed psychoactive substance on Earth and a recurring subject of "is my coffee killing me" health anxiety. The dread tends to spike around energy drinks and viral reports of caffeine deaths, most of which involve pure caffeine powder or tablets rather than any beverage. People who feel a racing heart after a third espresso often read it as a warning of cardiac harm, when for a healthy adult it is a transient, dose-dependent jitter. There is no rigorous, nationally representative survey that asks Americans to estimate their odds of being harmed by drinking too much coffee, so the perception here is inferred from the broader pattern of caffeine health worry rather than a single measured number.

Rough estimate: Many heavy coffee drinkers assume high intake meaningfully raises their risk of serious cardiac harm; the evidence for moderate beverage caffeine points the other way

Source: editorial intuition, not polled

Actual

~12,000 energy-drink-attributable ED visits (energy drinks only) per year in the US

US residents age 12+ (DAWN surveillance, energy-drink-only ED visits, 2011)

Show derivation

The SAMHSA Drug Abuse Warning Network (DAWN) recorded 20,783 energy-drink- related emergency department (ED) visits in 2011, of which 58% (≈12,054) involved energy drinks only — no other drug or alcohol. DAWN sampled ED visits among US residents age 12 and older; the age-12+ US population in 2011 was approximately 260 million (US Census). The annual hazard of an energy-drink-only ED visit is therefore roughly 12,054 / 260,000,000 ≈ 4.6 × 10⁻⁵ per year, or about 1 in 21,600 per year. Compounded over 59 years of remaining adult life at constant hazard: 1 − (1 − 0.0000464)^59 ≈ 0.00273 ≈ 1 in 366. log₁₀(0.00273) ≈ −2.56. This figure is deliberately framed as a LOWER BOUND, and the uncertainty band is skewed high to reflect three forms of undercount. (1) DAWN tracks only energy drinks as a discrete category; ED visits driven by ordinary coffee, tea, or soda overconsumption are not separately coded and are invisible here. (2) The 2011 reading is the last year of the old DAWN methodology; energy-drink consumption and the affected population have grown since. (3) Attribution requires a clinician to code the visit to energy drinks, which misses cases presenting as anxiety, palpitations, or insomnia without the drink being recorded. The true lifetime probability of any ED visit attributable to high-caffeine beverages is plausibly several times the central estimate — hence the wide band. The far more common outcomes of excess beverage caffeine (jitteriness, insomnia, transient palpitations, reflux) almost never reach an ED at all and are not counted in any surveillance system.

Caveats: Scope: this entry measures realistic harms from caffeine consumed in beverages (…

Scope: this entry measures realistic harms from caffeine consumed in beverages (coffee, tea, energy drinks, soda), not from caffeine powder or tablets. Nearly all fatal caffeine toxicity in the literature involves pure/anhydrous caffeine products, where a single gram-scale dose is easy to reach; the FDA's 1,200 mg acute-toxicity figure is roughly a dozen cups of coffee in quick succession and is effectively unreachable by drinking. The headline 1-in-366 lifetime figure is an explicit LOWER BOUND derived from DAWN energy-drink ED surveillance: it captures only energy drinks (not coffee/tea/soda overconsumption, which no surveillance system codes separately), only the 2011 reading (energy-drink use has since grown), and only ED-coded cases. The true rate is higher, which is why the uncertainty band runs up to 1 in 50. The number also conceals that the modal harm of excess beverage caffeine is transient and benign — jitteriness, insomnia, palpitations, and reflux that never reach a clinic — while serious cardiac events are rare and concentrated in susceptible subgroups. Crucially, moderate coffee is net-protective for several outcomes (all-cause mortality, Parkinson's, type 2 diabetes, liver disease) per large cohorts, so the "too much coffee" fear is overrated for the average healthy adult. The number does NOT apply to: pregnancy (EFSA caps habitual intake at 200 mg/day, half the adult limit); people with pre-existing arrhythmia or structural heart disease; diagnosed anxiety disorders, where caffeine reliably worsens symptoms; slow CYP1A2 metabolizers at high intake; and adolescents/heavy energy-drink consumers, who dominate the DAWN numerator and face higher acute risk per serving.

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Compare to:

US energy-drink surveillance is the only national system that codes a high-caffeine beverage as a discrete cause of harm, and it recorded about 20,783 energy-drink-related emergency department visits in 2011, of which 58% — roughly 12,054 — involved energy drinks alone. Against the ~260 million US residents age 12 and older that year, that is an annual hazard near 1 in 21,600, compounding to roughly 1 in 366 over a 59-year adult lifetime. That figure is a deliberate floor: ordinary coffee, tea, and soda overconsumption are not coded separately anywhere, so they are invisible here, and the 2011 reading predates a decade of growth in energy-drink use. For scale, an American adult is more likely to die by homicide (about 1 in 287) than to land in an ER from a high-caffeine drink under this lower-bound count — and the ER visit is rarely the dangerous part.

The interesting feature is the direction of the gap. The fear treats heavy coffee as a slow cardiac threat, but the best controlled evidence points the other way for healthy adults: the randomized CRAVE trial found caffeinated coffee did not produce significantly more premature atrial contractions than caffeine avoidance, and the Poole umbrella review reports a summary all-cause-mortality relative risk of 0.83 for coffee drinkers, with the largest reduction around three cups a day. Moderate coffee is, on balance, associated with lower risk of death and of Parkinson’s, type 2 diabetes, and liver disease. The genuinely lethal caffeine events that drive the headlines almost always involve powder or pills, where a gram-scale dose is trivially easy to swallow; the FDA puts acute toxicity near 1,200 mg taken rapidly, which is about a dozen cups of coffee in quick succession and effectively unreachable by drinking.

Where the reassurance stops is in the subgroups the average doesn’t describe. EFSA halves the safe habitual intake to 200 mg/day in pregnancy. People with existing arrhythmia or structural heart disease, and those with diagnosed anxiety disorders, get worse outcomes from doses a healthy adult tolerates. Slow CYP1A2 metabolizers carry a measurable excess: Cornelis et al. found a 1.64-fold odds of nonfatal heart attack at four or more cups a day, an effect entirely absent in fast metabolizers. And the DAWN numerator is dominated by adolescents and heavy energy-drink users consuming caffeine in concentrated, rapidly-drunk servings — a very different exposure from a mug of drip coffee sipped over an hour. The 1-in-366 floor is an average over a population that mostly drinks caffeine safely; it is not a personal verdict for anyone in those groups.

About 1 in 366 US adults will land in an emergency department over a lifetime from a high-caffeine beverage, and that is a documented floor counting energy drinks only. The yearly tally runs near 12,000 energy-drink-attributable ED visits.

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] U.S. Food and Drug Administration — Spilling the Beans: How Much Caffeine is Too Much?
    Spilling the Beans: How Much Caffeine is Too Much?
    Statistic
    400 mg/day not generally associated with negative effects in healthy adults; toxic effects like seizures around 1,200 mg rapidly consumed
    Excerpt
    “"For most adults, the FDA has cited 400 milligrams a day — that's about two to three 12-fluid-ounce cups of coffee — as an amount not generally associated with negative effects. [...] The FDA estimates toxic effects, like seizures, can be observed with rapid consumption of around 1,200 milligrams of caffeine, or less than 1/2 teaspoon of pure caffeine." ”
    Source data from
    2024-08-28
    Accessed
    2026-06-12 · archived copy
    Calculation
    The FDA's 400 mg/day threshold is the reference line for "too much" in this entry: harms cluster above it in a dose-dependent way, and the 1,200 mg acute-toxicity figure clarifies that life-threatening caffeine effects require a rapid bolus — "less than 1/2 teaspoon of pure caffeine" — which is essentially unreachable by drinking coffee (a cup carries roughly 80–100 mg; reaching 1,200 mg would mean ~12 cups in quick succession). This frames fatal caffeine toxicity as a powder/pill phenomenon, not a beverage one, and anchors the "what counts as too much" boundary used throughout the entry. Both quoted sentences were confirmed verbatim against the live FDA page (content current as of 08/28/2024) during human review.
  2. [2] Substance Abuse and Mental Health Services Administration (SAMHSA) — Update on Emergency Department Visits Involving Energy Drinks: A Continuing Public Health Concern (The DAWN Report)
    Update on Emergency Department Visits Involving Energy Drinks: A Continuing Public Health Concern (The DAWN Report)
    Statistic
    20,783 energy-drink-related ED visits in 2011 (up from 10,068 in 2007); 58% involved energy drinks only
    Excerpt
    “"The estimated number of ED visits involving energy drinks doubled from 10,068 visits in 2007 to 20,783 visits in 2011. [...] In 2011, 58% of energy drink-related ED visits involved energy drinks only; the remaining 42% involved other drugs." ”
    Source data from
    2013-01-10
    Accessed
    2026-06-12
    Calculation
    This is the native-rate source. The 20,783 total × 58% energy-drinks-only share = ≈12,054 ED visits where a high-caffeine beverage was the sole implicated agent (the conservative numerator — excluding the 42% of visits that also involved alcohol or other drugs). Divided by the ~260 million US residents age 12+ in 2011, this gives the ~4.6 × 10⁻⁵ annual hazard that compounds to the headline 1-in-366 lifetime floor. The doubling from 2007 to 2011 is the basis for treating the static 2011 figure as an undercount and skewing the uncertainty band upward.
  3. [3] New England Journal of Medicine (Marcus et al., N Engl J Med 2023;388(12):1092-1100) — Acute Effects of Coffee Consumption on Health among Ambulatory Adults (CRAVE trial)
    Acute Effects of Coffee Consumption on Health among Ambulatory Adults (CRAVE trial)
    Statistic
    Caffeinated coffee not linked to significantly more premature atrial contractions (RR 1.09, 95% CI 0.98–1.20); ~50% more premature ventricular contractions and ~36 fewer minutes of sleep
    Excerpt
    “"The consumption of caffeinated coffee was associated with 58 daily premature atrial contractions as compared with 53 daily events on days when caffeine was avoided (rate ratio, 1.09; 95% confidence interval [CI], 0.98 to 1.20; P = 0.10). [...] The consumption of caffeinated coffee as compared with no caffeine consumption was associated with 154 and 102 daily premature ventricular contractions, respectively (rate ratio, 1.51; 95% CI, 1.18 to 1.94)." ”
    Source data from
    2023-03-23
    Accessed
    2026-06-12 · archived copy
    Calculation
    The CRAVE randomized case-crossover trial (100 adults wearing continuous ECG, accelerometer, and glucose monitors for 14 days) is the best controlled evidence on the specific cardiac fear. It found no significant increase in atrial ectopy from caffeinated coffee, a real but modest increase in ventricular ectopy, and ~36 minutes less sleep on coffee days. It does not yield a population probability — it is used to calibrate the *severity* of the modal harm (transient ectopy and sleep loss, not sustained arrhythmia) and to justify the moderate_harm / recoverable_injury framing rather than a fatal one.
  4. [4] EUFIC, summarising EFSA Scientific Opinion on the safety of caffeine (EFSA Journal 2015;13(5):4102) — EFSA opinion on the safety of caffeine
    EFSA opinion on the safety of caffeine
    Statistic
    Single doses up to 200 mg and total daily caffeine up to 400 mg safe for healthy adults
    Excerpt
    “"single doses of caffeine up to 200 mg (approximately 2 ½ espressos or 4 cups of tea) and total daily caffeine consumption of up to 400 mg are safe." ”
    Source data from
    2015-06-23
    Accessed
    2026-06-12
    Calculation
    EFSA independently corroborates the FDA's 400 mg/day daily threshold and adds a 200 mg single-dose limit for healthy adults. This is a cross-check on the "what is too much" boundary rather than a probability input. EFSA's separate, lower thresholds for pregnancy (200 mg/day) are noted in the caveats as a scope limit, not converted into a multiplier.

443 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 Skipping care over ICE fear — 1 in 7.1 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 Anxiety disorder — 1 in 3.2 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 Child head lice — 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 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 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 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 PTSD — 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 Keyless relay car theft — 1 in 13 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 Child swallows object (ER) — 1 in 91 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 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 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 109 HIV diagnosis — 1 in 105 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 709 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 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 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 Death in ICE custody — 1 in 17,065 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

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