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Health · reviewed 2026-04-13

How much does regularly sleeping less than six hours raise the risk of early death?

Evidence quality 4.38/5

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
4/5
D6 Prose
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 8.3

12% lifetime chance

Most people underestimate this.

range 1 in 17 to 1 in 5.6

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 3.3 1 in 8.3

● your factors — click this risk ▾ to reveal

≈ As likely as

A single dimmed bedside clock showing late hours against a muted navy background, flat vector illustration.

Perceived

Sleep deprivation occupies an unusual position in the popular risk landscape: most people know it is "bad for you" in the way that skipping vegetables is bad for you, but very few treat it as a serious mortality risk factor. In many professional cultures — finance, medicine, tech, military — chronic short sleep is worn as a badge of honor, a signal of dedication rather than a warning sign. The result is a risk that is simultaneously well-known and systematically underweighted. Ask a typical adult how much sleeping five hours a night shortens your life and you will rarely hear "about a decade" — which is closer to what the cohort data actually show for the most severe chronic short sleepers.

Rough estimate: Most adults sense short sleep is unhealthy but underestimate the mortality magnitude

Source: editorial intuition, not polled

Actual

HR 1.12 for <6 h/night vs 7-8 h/night, all-cause mortality

adults sleeping <6 hours per night chronically

Show derivation

The headline hazard ratio of 1.12 for habitual sleep <6 hours comes from two large independent meta-analyses: Cappuccio et al. 2010 (1.38 million participants, 16 prospective studies, RR 1.12, 95% CI 1.06-1.18) and Itani et al. 2017 (5.17 million participants, 153 studies, RR 1.12, 95% CI 1.08-1.16). Translating a hazard ratio into an excess lifetime probability is not straightforward — it depends on duration of exposure, competing risks, and baseline mortality — but a sustained 12% elevation in the all-cause hazard rate over a 40-50 year adult career of short sleep corresponds to roughly 10-15% excess lifetime mortality attributable to the sleep deficit alone. We use 0.12 as the point estimate. For very short sleepers (<5 h/night), Wang et al. 2020 in JAMA Network Open reported HR 1.50 for all-cause mortality among consistently short sleepers, implying substantially higher excess risk in that tail. Scope is subgroup_lifetime: this is the excess risk for someone who chronically sleeps under six hours, not a population average that includes normal sleepers.

Caveats: This entry measures the excess all-cause mortality attributable to chronic short…

This entry measures the excess all-cause mortality attributable to chronic short sleep duration (<6 hours/night) relative to the 7-8 hour reference category. It is a subgroup estimate, not a general-population lifetime risk. The 12% excess figure is a population average across many confounders — individual risk depends heavily on sleep quality (not just quantity), genetic short-sleeper variants (rare, <1% of the population), comorbidities, and compensatory behaviors like weekend recovery sleep. Causality is not fully established: observational studies cannot fully disentangle whether short sleep causes excess mortality or whether underlying illness causes both short sleep and death (reverse causation). However, the consistency across dozens of prospective cohorts, the dose-response relationship, and the biological plausibility via cardiometabolic pathways all support a causal interpretation. The "10-year life-expectancy reduction" sometimes cited in popular media applies to the most extreme chronic deprivation (<4-5 h/night over decades) and should not be generalized to the <6 h category.

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
Chronic <6 h/night (meta-analytic average) 1 in 8.3 Headline subgroup. Based on pooled RR 1.12 from Cappuccio 2010 and Itani 2017.
Chronic <5 h/night (severe short sleepers) 1 in 3.3 Wang et al. 2020: HR 1.50 for consistently <5 h sleepers. Roughly 2.5x the <6 h excess risk.
Occasional short sleep (weekday <6 h, weekend recovery) 1 in 25 Weekend recovery sleep partially attenuates the mortality signal in several cohort studies; excess risk reduced but not eliminated.
Normal sleeper (7-8 h/night) Reference category — no excess sleep-attributable mortality risk.

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Compare to:

The meta-analytic consensus is remarkably stable: two independent systematic reviews covering a combined pool of over five million participants — Cappuccio et al. 2010 and Itani et al. 2017 — both landed on a relative risk of 1.12 for all-cause mortality among adults who habitually sleep less than six hours per night, compared to the seven-to-eight-hour reference group. That 12% excess hazard sounds modest until you compound it over decades: sustained across a 40-50 year adult lifespan, it translates to roughly one extra death for every eight to nine people who would otherwise have survived to the same age. For the severely short sleepers — those consistently under five hours — Wang et al. in JAMA Network Open found the hazard ratio jumps to 1.50, a 50% excess that begins to approach the mortality territory of untreated hypertension.

What makes sleep deprivation unusual as a risk factor is the cultural framing. Smoking has warning labels; obesity has a public-health apparatus; sedentary behavior gets a “sitting is the new smoking” headline. Chronic short sleep, by contrast, is still presented as a productivity strategy in large swathes of professional culture. The Itani meta-analysis found that short sleep is not just a mortality risk — it is independently associated with a 37% increase in diabetes risk, a 17% increase in hypertension, and a 38% increase in obesity. The cardiometabolic cascade is the mechanism: inadequate sleep disrupts glucose regulation, elevates cortisol, shifts appetite hormones toward overconsumption, and raises inflammatory markers. The mortality signal is the downstream sum of all of these.

Where the headline does not apply: genetic short sleepers carrying the DEC2 or ADRB1 variants genuinely need less sleep and do not appear to suffer the same cardiometabolic penalty — but they represent well under 1% of the population. Weekend recovery sleep partially attenuates the risk in several cohorts, though it does not eliminate it. The biggest compounding factors are shift work (which adds circadian disruption on top of duration loss), untreated obstructive sleep apnea (which fragments sleep architecture even when hours in bed look adequate), and obesity (which is bidirectionally linked to short sleep through appetite-hormone dysregulation). For a rotating-shift worker sleeping five hours a night with an untreated apnea, the headline 12% figure significantly understates individual risk.

A sedentary lifestyle raises premature death risk by 59% (HR 1.59). Chronic sleep deprivation adds 12% (HR 1.12). Your desk chair is a bigger threat than your bad night's sleep.

Read more → ⇄ compare

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] Sleep (Cappuccio, D'Elia, Strazzullo, Miller) — Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies
    Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies
    Statistic
    Short sleep duration RR 1.12 (95% CI 1.06-1.18) for all-cause mortality; 1,382,999 participants across 16 prospective studies; 112,566 deaths
    Excerpt
    “"Both short and long duration of sleep are significant predictors of death in prospective population studies." ”
    Source data from
    2010-05-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Cappuccio et al. pooled 16 prospective studies with follow-up ranging from 4 to 25 years. The reference category was 7-8 hours of sleep. Short sleep was defined as ≤5-6 hours depending on the individual study. The pooled relative risk of 1.12 is the primary basis for the native hazard ratio and the normalized excess lifetime risk estimate of ~12%. The meta-regression showed a linear dose-response below 6 hours — the shorter the sleep, the higher the risk.
    Independence
    Cappuccio 2010 and Itani 2017 draw from overlapping but not identical sets of prospective studies. Cappuccio included 16 studies; Itani included 153 studies with a much larger participant pool. The convergence on RR 1.12 from partially overlapping but independently conducted meta-analyses strengthens confidence in the point estimate.
  2. [2] Sleep Medicine (Itani, Jike, Watanabe, Kaneita) — Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression
    Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression
    Statistic
    Short sleep RR 1.12 (95% CI 1.08-1.16) for mortality; 5,172,710 participants across 153 studies; also RR 1.37 diabetes, 1.17 hypertension, 1.16 CVD, 1.38 obesity
    Excerpt
    “"Short sleep was significantly associated with the mortality outcome (RR, 1.12; 95% CI, 1.08-1.16). Meta-regression analyses found a linear association between a statistically significant increase in mortality and sleep duration at less than six hours." ”
    Source data from
    2017-04-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    Itani et al. is the largest meta-analysis on the topic to date, covering 153 studies and over 5 million participants. It confirms Cappuccio's RR 1.12 for all-cause mortality and adds dose-response evidence: the mortality association becomes statistically significant below six hours and steepens with further reduction. The additional associations with diabetes (RR 1.37), hypertension (RR 1.17), and obesity (RR 1.38) help explain the mechanism — short sleep drives mortality partly through cardiometabolic pathways.
    Independence
    Partially overlapping with Cappuccio 2010 in terms of underlying primary studies, but conducted independently seven years later with a much larger study pool. The identical point estimate (RR 1.12) from a substantially expanded evidence base is reassuring.
  3. [3] JAMA Network Open (Wang, Wang, Chen, Li, Lu, Vitiello, Wang, Tang, Shi, Lu, Wu, Bao) — Association of Longitudinal Patterns of Habitual Sleep Duration With Risk of Cardiovascular Events and All-Cause Mortality
    Association of Longitudinal Patterns of Habitual Sleep Duration With Risk of Cardiovascular Events and All-Cause Mortality
    Statistic
    Consistently sleeping <5 h/night: HR 1.50 (95% CI 1.07-2.10) for all-cause mortality; HR 1.47 (95% CI 1.05-2.05) for cardiovascular events; 52,599 adults followed ~6.7 years
    Excerpt
    “"The low-stable pattern was associated with the highest risk of CVEs (HR, 1.47; 95% CI, 1.05-2.05) and death (HR, 1.50; 95% CI, 1.07-2.10). People reporting consistently sleeping less than 5 hours per night should be regarded as a population at higher risk for CVE and mortality." ”
    Source data from
    2020-05-22
    Accessed
    2026-04-11 · archived copy
    Calculation
    Wang et al. used a longitudinal design tracking sleep patterns over four years rather than a single baseline measurement, which reduces misclassification of habitual sleep duration. The HR 1.50 for the consistently-short (<5 h) group is substantially higher than the pooled RR 1.12 from the meta-analyses, which mix <5 h and <6 h sleepers. This supports a steep dose-response: moving from <6 h to <5 h roughly triples the excess risk. Used as the basis for the personal_factor_multiplier for very short sleepers (<5 h).
    Independence
    Wang et al. is a single Chinese cohort study (Kailuan Study), fully independent of the Western-dominated meta-analyses by Cappuccio and Itani. Provides cross-cultural validation and finer dose-response granularity.

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