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Likelier
Health · reviewed 2026-04-19

What are the odds of chronic loneliness causing serious health harm over a lifetime?

Evidence quality 4.25/5

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
3/5
D4 Uncertainty
4/5
D5 Scope
3/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.25/5

Lifetime probability · lifetime, subgroup

1 in 3.8

26% lifetime chance

Most people underestimate this.

range 1 in 5.0 to 1 in 3.1

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 2.1 1 in 13

● your factors — click this risk ▾ to reveal

≈ As likely as

A single empty chair at a small table in a muted, quiet interior space, flat vector illustration.

Perceived

Most people register loneliness as an emotional state, not a medical risk factor. The cultural framing treats it as a personality problem or a phase rather than something that belongs on a doctor's intake form alongside blood pressure and cholesterol. The 2023 Surgeon General's advisory briefly moved the topic into mainstream awareness, but the headline comparison to "smoking 15 cigarettes a day" struck many as hyperbolic rather than literal. The result is a risk that is both widely experienced and systematically underweighted: surveys consistently find that more than half of US adults report feeling lonely, yet very few treat that loneliness as carrying a quantifiable mortality premium.

Rough estimate: Most adults consider loneliness emotionally unpleasant but not a serious physical health threat

Source: editorial intuition, not polled

Actual

26% increased risk of premature mortality for loneliness; 29% for social isolation

adults reporting chronic loneliness

Show derivation

The headline figure comes from Holt-Lunstad et al. 2015, which found loneliness associated with OR 1.26 (26% increased odds of premature death) and social isolation with OR 1.29 (29% increase) across 70 studies and 3.4 million participants. We use 0.26 as the point estimate, representing the excess mortality risk attributable to chronic loneliness over an adult lifetime. This is a subgroup estimate: it applies to individuals who are chronically lonely, not a population average. The earlier Holt-Lunstad et al. 2010 meta-analysis of 148 studies (308,849 participants) found that stronger social relationships corresponded to a 50% increased likelihood of survival (OR 1.50), which is the basis for the oft-cited "equivalent to smoking 15 cigarettes a day" comparison. We use the more conservative 2015 loneliness-specific figure rather than the broader 2010 social- relationships figure. Scope is subgroup_lifetime: the excess risk for someone who is chronically lonely, not a population average including well-connected adults.

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

This entry measures the excess all-cause mortality attributable to chronic loneliness relative to well-connected adults. It is a subgroup estimate, not a general-population lifetime risk. The 26% figure is a pooled odds ratio from observational studies; causality is not fully established. Lonely individuals also tend to exercise less, eat worse, sleep worse, and adhere less to medical regimens, making it difficult to isolate the independent contribution of loneliness itself versus the health behaviors it co-occurs with. The famous "smoking 15 cigarettes a day" comparison refers to the broader social-relationships OR of 1.50 from Holt-Lunstad 2010, not the loneliness-specific OR of 1.26 used here — the comparison is between relative risk magnitudes, not between biological mechanisms. Loneliness is not a toxin in the way nicotine is. Prevalence data (57% of US adults report some loneliness per Cigna 2025) conflate occasional and chronic loneliness; the mortality signal applies to sustained, persistent loneliness, which affects roughly 25-30% of adults. Measurement heterogeneity across studies (different loneliness scales, different definitions of social isolation) contributes to the wide uncertainty band.

Risks at similar odds

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Family caregiver probability

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Compare to:

The line that launched a thousand headlines — loneliness is as deadly as smoking 15 cigarettes a day — comes from Holt-Lunstad et al. 2010, a meta-analysis of 148 studies covering 308,849 people. What the study actually found was that individuals with stronger social relationships had a 50% increased likelihood of survival (OR 1.50) compared to those with weaker ties, and that this effect size was comparable to smoking cessation, and larger than the effects of exercise or obesity treatment. Five years later, Holt-Lunstad’s team ran a second meta-analysis that separated the constructs more precisely: loneliness (the subjective feeling) carried a 26% increased risk of premature death, social isolation (the objective lack of contacts) carried 29%, and living alone carried 32%. These were not small studies fishing for significance — the 2015 review pooled 3.4 million participants across 70 studies. In May 2023, US Surgeon General Vivek Murthy elevated the finding to a formal public health advisory, calling loneliness and isolation an “epidemic” with mortality consequences rivaling tobacco.

The biological pathway is not mysterious. The American Heart Association’s 2022 scientific statement found that social isolation and loneliness are associated with roughly a 30% increased risk of heart attack, stroke, or death from either. The mechanism runs through chronic activation of the hypothalamic-pituitary-adrenal axis: lonely individuals show elevated cortisol, higher inflammatory markers (C-reactive protein, interleukin-6), and impaired immune surveillance — the conserved transcriptional response to adversity (CTRA) pattern, in which proinflammatory gene expression goes up while antiviral defenses go down. Add to that the behavioral cascade — lonely people sleep worse, exercise less, eat more poorly, and are less likely to adhere to medical treatment — and the mortality signal becomes a convergent sum of cardiovascular, immune, metabolic, and cognitive degradation. Longitudinal data also link loneliness to accelerated cognitive decline and increased dementia risk, though the causal direction there is harder to disentangle.

Where the comparison breaks down is in the implication that loneliness is a discrete, dose-measurable exposure the way cigarettes are. Nicotine delivers a quantifiable toxin per unit; loneliness is a subjective state intertwined with depression, socioeconomic status, disability, and personality traits that independently affect mortality. The meta-analytic odds ratios control for some of these confounders, but residual confounding is essentially certain. What the data do establish is that chronic loneliness — not the occasional quiet weekend, but the sustained absence of meaningful social connection over years — is a mortality risk factor in the same league as light-to-moderate smoking, physical inactivity, or obesity. Roughly 57% of US adults report some degree of loneliness in recent surveys, but the mortality-relevant subset is the chronically lonely, estimated at 25-30% of the adult population. For that group, the excess risk is real, cumulative, and largely invisible on any standard medical chart.

Chronic loneliness carries a 26% excess mortality risk, comparable to smoking 15 cigarettes daily. One gets surgeon general warnings. The other gets "just get out more."

Read more → ⇄ compare

Chronic loneliness is associated with 26% excess mortality, comparable to smoking 15 cigarettes a day. It is rarely discussed as a public health risk despite affecting roughly a quarter of adults.

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] Perspectives on Psychological Science (Holt-Lunstad, Smith, Baker, Harris, Stephenson) — Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review
    Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review
    Statistic
    Loneliness OR 1.26 (26% increased mortality), social isolation OR 1.29, living alone OR 1.32; 70 studies, 3,407,134 participants
    Excerpt
    “"Across studies in which several possible confounds were statistically controlled for, the weighted average effect sizes were: social isolation OR = 1.29, loneliness OR = 1.26 and living alone OR = 1.32, corresponding to an average of 29%, 26%, and 32% increased likelihood of mortality respectively." ”
    Source data from
    2015-03-11
    Accessed
    2026-04-19 · archived copy
    Calculation
    Holt-Lunstad et al. 2015 is the primary basis for the normalized excess lifetime risk of ~26%. The meta-analysis covered 70 studies with 3.4 million participants and distinguished loneliness (subjective feeling), social isolation (objective lack of contacts), and living alone. We use the loneliness-specific OR of 1.26 for the headline figure, as the entry focuses on the subjective experience. The social isolation OR of 1.29 anchors the upper end of the uncertainty range. All effect sizes controlled for demographic confounds.
  2. [2] PLoS Medicine (Holt-Lunstad, Smith, Layton) — Social Relationships and Mortality Risk: A Meta-analytic Review
    Social Relationships and Mortality Risk: A Meta-analytic Review
    Statistic
    OR 1.50 (95% CI 1.42-1.59) for survival with stronger social relationships; 148 studies, 308,849 participants
    Excerpt
    “"Data across 308,849 individuals, followed for an average of 7.5 years, indicate a 50% increased likelihood of survival for participants with stronger social relationships. This finding remained consistent across age, sex, initial health status, cause of death, and follow-up period." ”
    Source data from
    2010-07-27
    Accessed
    2026-04-19 · archived copy
    Calculation
    The 2010 meta-analysis is the source of the widely cited "equivalent to smoking 15 cigarettes a day" comparison: the OR 1.50 for weak social relationships was benchmarked against the known mortality effect sizes of smoking, obesity, and physical inactivity. The comparison is between relative risk magnitudes, not biological mechanisms. This broader measure (any social relationship deficit) yields a larger effect size than the 2015 loneliness-specific OR of 1.26, which is why we use the 2015 figure as the more conservative headline.
    Independence
    Holt-Lunstad 2010 and 2015 are by the same lead author but use different inclusion criteria and study pools. The 2010 review focused on any measure of social relationships; the 2015 review specifically separated loneliness, social isolation, and living alone. The 2015 study draws from a largely non-overlapping set of 70 studies compared to the 148 in 2010.
  3. [3] US Department of Health and Human Services (Surgeon General Vivek Murthy) — Our Epidemic of Loneliness and Isolation: The U.S. Surgeon General's Advisory on the Healing Effects of Social Connection and Community
    Our Epidemic of Loneliness and Isolation: The U.S. Surgeon General's Advisory on the Healing Effects of Social Connection and Community
    Statistic
    Loneliness increases premature death risk by 26%; social isolation by 29%; mortality impact comparable to smoking up to 15 cigarettes/day
    Excerpt
    “"The mortality impact of being socially disconnected is similar to that caused by smoking up to 15 cigarettes a day, and even greater than that associated with obesity and physical inactivity." ”
    Source data from
    2023-05-02
    Accessed
    2026-04-19 · archived copy
    Calculation
    The Surgeon General's advisory synthesizes the Holt-Lunstad meta-analyses and additional evidence. It does not produce new primary data but serves as the most authoritative US government endorsement of the loneliness-mortality link. The "15 cigarettes a day" comparison originates from the Holt-Lunstad 2010 benchmarking exercise. The advisory also reports that loneliness is associated with a 29% increased risk of coronary heart disease and a 32% increased risk of stroke.
    Independence
    Government synthesis report drawing on the same primary literature as the Holt-Lunstad meta-analyses. Not independent data but independent institutional validation of the conclusions.
  4. [4] Journal of the American Heart Association (Cené, Beckie, Sims, et al.) — Effects of Objective and Perceived Social Isolation on Cardiovascular and Brain Health: A Scientific Statement From the American Heart Association
    Effects of Objective and Perceived Social Isolation on Cardiovascular and Brain Health: A Scientific Statement From the American Heart Association
    Statistic
    Social isolation and loneliness associated with ~30% increased risk of heart attack or stroke, or death from either; 29% increase in heart disease death, 32% increase in stroke death
    Excerpt
    “"Social isolation and loneliness are common but underrecognized determinants of cardiovascular and brain health. A growing body of evidence demonstrates social isolation and loneliness are associated with increased risk for premature mortality and cardiovascular disease." ”
    Source data from
    2022-08-04
    Accessed
    2026-04-19 · archived copy
    Calculation
    The AHA scientific statement provides the cardiovascular-specific mechanism data: ~29% increased risk of coronary heart disease mortality and ~32% increased risk of stroke mortality. These figures help explain how the all-cause mortality signal from loneliness is mediated — cardiovascular disease is the primary pathway. Used to validate the overall mortality figures from Holt-Lunstad and to anchor the cardiovascular multiplier.
    Independence
    Independent systematic review by AHA authors, drawing from a partially overlapping but distinct literature base focused on cardiovascular and cerebrovascular outcomes rather than all-cause mortality.

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