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Perceived fear vs. actual probability

What are the odds of developing PTSD in your lifetime?

Lifetime probability

~1 in 15

6.8% lifetime chance

Most people underestimate this.

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

Health · reviewed 2026-06-21

What are the odds of developing PTSD in your lifetime?

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 · National Institute of Mental Health (NIMH), NIH
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 3.4 1 in 25

● your factors — click this risk ▾ to reveal

  1. Your factors
A still pond surface with a single fading ripple spreading outward, flat vector illustration in muted grey-blue tones.

Perceived

There is no standard tracker for perceived lifetime PTSD risk, and the lay mental model is unusually distorted by a single cultural anchor: combat. Most people associate PTSD almost exclusively with soldiers, so when asked how common it is in the general population they either picture the condition as a near-exclusively military problem or estimate a small fraction of the population. The civilian reality is the opposite — the large majority of lifetime PTSD in the United States follows non-combat trauma (sexual assault, serious accidents, sudden bereavement, disasters, interpersonal violence), and the condition skews strongly female rather than male. The other systematic error runs the other way: because most adults will experience at least one potentially traumatic event, some assume that trauma exposure and PTSD are nearly the same thing. They are not. Exposure is common; the disorder is a minority outcome conditional on exposure.

Rough estimate: most adults associate PTSD with combat veterans and underestimate how civilian and how female the lifetime caseload actually is

Source: editorial intuition, not polled

Actual

6.8% lifetime prevalence (NCS-R, DSM-IV PTSD)

US adults 18+ (NCS-R, 2001-2003)

Show derivation

Uses the National Comorbidity Survey Replication (NCS-R) lifetime prevalence of 6.8% for DSM-IV PTSD among US adults as the headline figure, as reported by NIMH. This is a direct survey-based lifetime estimate — no compounding or hazard conversion required. The earlier National Comorbidity Survey (Kessler et al. 1995) found 7.8% lifetime prevalence under DSM-III-R criteria, which anchors the upper bound of the uncertainty band. The later NESARC-III survey (2012-2013), reported by the VA's National Center for PTSD, found about 6% lifetime under DSM-5 criteria, anchoring the lower-central range. The point estimate of 0.068 sits between these independent surveys. The uncertainty band 0.06-0.085 reflects this cross-survey methodological range (different diagnostic editions, sampling frames, and interview instruments). PTSD is a conditional outcome: most US adults experience at least one potentially traumatic event in their lifetime, but only a minority develop the disorder, and the conditional rate varies enormously by trauma type — highest for rape and sexual assault, lower for accidents and disasters.

Caveats: PTSD is defined by DSM criteria following exposure to a qualifying traumatic eve…

PTSD is defined by DSM criteria following exposure to a qualifying traumatic event: intrusive re-experiencing, avoidance, negative changes in cognition and mood, and hyperarousal, persisting more than one month and causing functional impairment. The headline figure is population lifetime prevalence — the share of all US adults who have ever met criteria — not the conditional risk given trauma. Those are very different quantities and conflating them is the central error to avoid. The large majority of US adults experience at least one potentially traumatic event in their lifetime, yet only roughly 6-8% ever develop PTSD, because the conditional probability of PTSD given a trauma is itself low and varies enormously by trauma type. The NCS (Kessler et al. 1995) found that rape and sexual molestation are the traumas most associated with PTSD among women, and combat and witnessing among men; accidents and natural disasters carry far lower conditional rates. This trauma-type gradient, rather than any single population number, is what most changes a careful reader's interpretation. Estimates also differ by DSM edition: the 1995 NCS (7.8%, DSM-III-R) and NCS-R (6.8%, DSM-IV) used broader criteria than DSM-5; the NESARC-III DSM-5 figure (~6%) is slightly lower, partly reflecting the tightened diagnostic definition. Veteran subgroups, especially recent combat cohorts, run several times the general-population rate, but veterans are a small fraction of the adult population, so most lifetime PTSD cases are civilian.

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Mental health LTD claim

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Compare to:

If you or someone you know is struggling, contact the 988 Suicide & Crisis Lifeline (call or text 988) in the US, or visit findahelpline.com for international directories.

The most-cited estimate of lifetime post-traumatic stress disorder in the United States comes from the National Comorbidity Survey Replication: 6.8%, or roughly 1 in 15 adults, as reported by NIMH. The earlier National Comorbidity Survey (Kessler et al. 1995) found 7.8% under the older DSM-III-R criteria, and the more recent NESARC-III survey, synthesized by the VA’s National Center for PTSD, found about 6% under the tighter DSM-5 definition. Three independent surveys, three diagnostic editions, two decades apart, all landing within roughly two percentage points of each other — for psychiatric epidemiology, that is a well-pinned number. Past-year prevalence runs lower, around 3.6% of US adults, because PTSD is episodic and many cases remit.

The figure that matters most here is not the 6.8% but the gap between two different questions. Population lifetime prevalence asks what share of all adults ever develop PTSD; conditional risk asks what share of people who experience a trauma go on to develop it. Most US adults will face at least one potentially traumatic event, yet only a minority develop the disorder, and the conditional rate swings wildly by trauma type. Kessler’s 1995 survey found that rape and sexual molestation are the traumas most associated with PTSD among women, and combat and witnessing among men, while accidents and disasters carry far lower conditional rates. PTSD is also notably persistent: more than a third of people with an episode fail to recover even after many years.

Where the number does not transfer cleanly is across sex and across veteran status, and the two points cut against the cultural stereotype. Lifetime PTSD runs roughly twice as high in women as in men (about 8% versus 4%), the opposite of the combat-centric mental image. Veterans do carry elevated rates, sharply so for recent combat cohorts: the VA reports about 10% lifetime among Vietnam-era veterans and about 29% among Iraq and Afghanistan veterans, several times the general-population figure. But veterans are a small share of all adults, so the arithmetic still puts the large majority of lifetime PTSD cases in the civilian population, following the assaults, accidents, and losses of ordinary life rather than war.

Lifetime PTSD prevalence is about 6.8% (roughly 1 in 15 US adults), and it runs about twice as high in women as in men. Despite the combat stereotype, most lifetime cases are civilian — following assault, accidents, and loss rather than war.

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] National Institute of Mental Health (NIMH), NIH — Post-Traumatic Stress Disorder (PTSD) — Statistics
    Post-Traumatic Stress Disorder (PTSD) — Statistics
    Statistic
    Past-year prevalence of PTSD among US adults 3.6% (females 5.2%, males 1.8%); lifetime prevalence of PTSD 6.8%
    Excerpt
    “"An estimated 3.6% of U.S. adults had PTSD in the past year... Past year prevalence of PTSD among adults was higher for females (5.2%) than for males (1.8%)... The lifetime prevalence of PTSD was 6.8%." ”
    Source data from
    2003-12-31
    Accessed
    2026-06-21 · archived copy
    Calculation
    NIMH reports National Comorbidity Survey Replication (NCS-R) data, a face-to-face household survey of US adults aged 18+ conducted 2001-2003. The 6.8% lifetime figure is used directly as the normalized estimate — no hazard compounding needed because it is already a lifetime estimate. The past-year female-to-male ratio of 5.2%/1.8% ≈ 2.9 and the lifetime ratio (see VA source, 8%/4% ≈ 2.0) provide the female multiplier of ~2.0, applied conservatively to the more-replicated lifetime split.
    Independence
    This NIMH page republishes NCS-R (Harvard/Kessler/NIMH) data. It is therefore the same underlying survey as the broader NCS-R disorder analyses, but is independent from the NESARC-III (NIAAA) figures cited via the VA source and from the original 1995 NCS.
  2. [2] US Department of Veterans Affairs, National Center for PTSD — Epidemiology of PTSD
    Epidemiology of PTSD
    Statistic
    NESARC-III lifetime PTSD prevalence ~6% overall (women 8%, men 4%); veteran lifetime PTSD by service era: Vietnam 10%, OEF/OIF 29%; female veteran lifetime 13% vs male 6%
    Excerpt
    “"lifetime PTSD prevalence according to DSM-5 criteria of 6% overall in a sample of over 36,000 U.S. adults... lifetime prevalence of PTSD among Veterans is 7%. Lifetime prevalence was higher among female Veterans (13%) than male Veterans (6%)." ”
    Source data from
    2023-01-01
    Accessed
    2026-06-21
    Calculation
    The VA National Center for PTSD synthesizes NESARC-III (2012-2013, 36,000+ US adults) for the general-population DSM-5 figures and the National Health and Resilience in Veterans Study (NHRVS) for service-era breakdowns. The general-population 6% lifetime anchors the lower-central range of the uncertainty band. Veteran service-era lifetime rates (WWII/Korea 3%, Vietnam 10%, Persian Gulf 21%, OEF/OIF 29%) provide the veteran multipliers: OEF/OIF 29% / 6.8% general ≈ 4.3x; Vietnam 10% / 6.8% ≈ 1.5x. The female 8% / male 4% lifetime split gives the ~2.0 female multiplier and ~0.6 male multiplier.
    Independence
    NESARC-III (NIAAA, Hasin/Goldstein) and the NHRVS are independent of the NCS-R (Harvard) survey pipeline, with different sampling frames, field operations, and diagnostic instruments. Agreement to within roughly one percentage point of lifetime prevalence (NESARC-III ~6% DSM-5 vs NCS-R 6.8% DSM-IV) across two independent surveys a decade apart and under different DSM editions is the strongest cross-validation available for US PTSD prevalence.
  3. [3] Archives of General Psychiatry (Kessler RC, Sonnega A, Bromet E, Hughes M, Nelson CB) — Posttraumatic stress disorder in the National Comorbidity Survey
    Posttraumatic stress disorder in the National Comorbidity Survey
    Statistic
    Lifetime prevalence of PTSD 7.8% (DSM-III-R); elevated among women; traumas most associated with PTSD are combat and witnessing among men, rape and sexual molestation among women
    Excerpt
    “"The estimated lifetime prevalence of PTSD is 7.8%. Prevalence is elevated among women and the previously married. The traumas most commonly associated with PTSD are combat exposure and witnessing among men and rape and sexual molestation among women... more than one third of people with an index episode of PTSD fail to recover even after many years." ”
    Source data from
    1995-12-01
    Accessed
    2026-06-21 · archived copy
    Calculation
    The original National Comorbidity Survey (NCS) was a face-to-face survey of 5,877 persons aged 15-54 conducted under DSM-III-R criteria. The 7.8% lifetime figure is the highest of the three independent estimates and anchors the upper bound (0.085) of the uncertainty band. The abstract identifies trauma type as the key conditional modifier — rape and sexual molestation are the highest-association traumas among women — but quantified conditional rates per trauma type live in the full-text tables, not the abstract, so the trauma-type gradient is described qualitatively in prose and caveats rather than as a numeric multiplier.
    Independence
    The 1995 NCS is the predecessor survey to the NCS-R and used a different DSM edition (DSM-III-R), a younger age range (15-54), and a separate field wave. It is independent of both the NESARC-III (NIAAA) and the NCS-R replication figures.

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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