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Perceived fear vs. actual probability

What are the odds of a serious complication (nerve injury, dry socket, infection) from wisdom tooth extraction?

Lifetime probability · activity

~1 in 22

per procedure (activity-specific)

4.6% lifetime chance

Most people overestimate this.

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

Health · reviewed 2026-07-14
Evidence quality 4.63/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
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 4.63/5
Direct evidence
Source Peer-reviewed study · PLOS One (Chen YW, Chi LY, Lee CY. 2021;16(2):e0246625)
lifetime, activity-specific each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 7.2 1 in 54

● your factors — click this risk ▾ to reveal

  1. Your factors
A flat vector illustration of a single stylized molar tooth outline with two roots, muted grey and warm tones, calm and abstract.

Perceived

Wisdom-tooth removal is one of the most widely dreaded routine surgeries, and the dread is usually about worst-case stories: permanent numbness of the lip and chin, a jaw that never feels right again, an infection that lands someone in hospital. The horror-story framing collapses two very different things into one fear -- a painful, self-limiting recovery (swelling, a dry socket, a week of soft food) and a rare permanent injury. Most people asked to guess the odds of "something going wrong" will price in the permanent outcomes they have heard about, without separating how common a bad week is from how rare lasting harm is. There is no large survey quantifying the perceived probability of a wisdom-tooth complication as a standalone number, so the kind here is intuition rather than poll.

Rough estimate: People commonly conflate a rough recovery (fairly common) with permanent harm (rare); asked for the odds of 'serious' damage, many overestimate

Source: editorial intuition, not polled

Actual

~1 in 22 (4.6%) any complication per patient; permanent nerve injury far rarer at ~1 in 350 (0.28%)

Patients undergoing third molar extraction; the complication burden is concentrated in impacted lower (mandibular) thirds

Show derivation

The headline is the overall post-operative complication rate per patient, anchored to Bui, Seldin and Dodson (J Oral Maxillofac Surg, 2003), a retrospective cohort of 583 patients / 1,597 third molars that reported a 4.6% overall complication rate. A large Taiwanese nationwide cohort (Chen, Chi and Lee, PLOS One 2021; 16,609 impacted lower thirds) corroborates the order of magnitude with a 4.2% cumulative rate, though it counts a narrower set (dry socket 3.66%, prolonged TMJ symptoms 0.41%, surgical-site infection 0.17%) and excludes nerve injury. These figures are NOT additive: they use different denominators and count different complications. Dry socket (alveolar osteitis) is the dominant, largely self-limiting complication; permanent inferior alveolar nerve injury -- the outcome most people actually fear -- is a much rarer subset, 0.28% of mandibular extractions in the Kang, Sah and Fei systematic review (26,427 patients / 44,171 teeth), with transient nerve deficit at 1.20%. Scope is activity-specific: one procedure, per patient. The wide uncertainty band (0.02-0.30) reflects the impaction-difficulty spectrum: a simple erupted upper third sits near 2%, while a difficult full-bony mandibular impaction in a smoker can push dry-socket rates to 20-30%. The point estimate sits near the low end because it is a population average across all extractions, not the difficult-impaction subgroup.

Caveats: "Complication" here means any adverse post-operative event: dry socket (alveolar…

"Complication" here means any adverse post-operative event: dry socket (alveolar osteitis), surgical-site infection, prolonged jaw-joint symptoms, transient or permanent nerve injury, bleeding, or delayed healing. These are not one thing and not equally serious. The ~4.6% headline is dominated by dry socket, which is painful but self-limiting and resolves within days to a couple of weeks with dressing changes. The outcome most people fear -- permanent loss of sensation in the lip, chin, or tongue from inferior alveolar or lingual nerve injury -- is far rarer, at roughly 0.28% (about 1 in 350) of lower-jaw extractions, with transient deficit around 1.20%. The figures from different studies are not additive: Bui et al. (4.6%, all thirds), Chen et al. (4.2%, impacted lower thirds, excluding nerve injury), and Kang et al. (nerve injury only) use different denominators and count different events. The true rate for any individual depends heavily on which tooth, how it is impacted, how close it sits to the nerve canal, the surgeon's experience, and smoking status -- which is why the uncertainty band spans 2% to 30%. Upper (maxillary) thirds carry lower nerve-injury risk than lower (mandibular) thirds because the inferior alveolar canal runs through the lower jaw. This entry does not cover prophylactic-versus-symptomatic extraction decisions or the separate question of whether asymptomatic wisdom teeth should be removed at all.

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Compare to:

About 1 in 22 patients (4.6%) has some post-operative complication after a wisdom-tooth extraction, according to Bui, Seldin and Dodson’s cohort of 583 patients, and a Taiwanese nationwide cohort of 16,609 impacted lower thirds lands close behind at 4.2%. But “complication” is doing a lot of work in that sentence. The overwhelming majority of those events are dry socket — alveolar osteitis, a painful but self-limiting exposure of the healing socket that resolves in days to a couple of weeks. The outcome most people actually picture when they dread wisdom-tooth surgery, permanent numbness of the lip and chin from nerve injury, is a different order of magnitude: roughly 0.28%, about 1 in 350, of lower-jaw extractions, with a temporary version around 1.20%. The honest headline is two numbers, not one: a bad week is fairly common, and lasting harm is rare.

What makes this fear interesting is that the dread attaches to the rare, severe tail while the common, mild outcome does most of the actual work. The three complications named in the question sit at very different frequencies — dry socket around 3-4% and up, surgical infection well under 1% in the large cohorts, permanent nerve injury under a third of a percent — and they are not additive, because the published rates come from studies with different denominators and different definitions. A permanent nerve injury is genuinely life-altering and genuinely uncommon; a dry socket is genuinely unpleasant and genuinely likely if the tooth is a difficult lower impaction. Collapsing both into “something might go wrong” is what makes the surgery feel more dangerous than the numbers support.

The population average hides a wide spread. A simple erupted upper third removed in a non-smoker sits well below the headline; a full-bony horizontal lower impaction sitting against the nerve canal, in a smoker, sits far above it. Smoking roughly triples the dry-socket rate (about 13% versus 4%). Horizontal impaction carries around five times the nerve-injury risk of a vertical one (4.7% versus 0.9%), rising to about 11% when imaging shows the nerve “intimate” with the roots. Oral-contraceptive use nearly doubles dry-socket risk in women, and extraction after age 25 adds roughly half again to the overall complication rate as roots finish forming and bone hardens. The single number worth carrying is the split: for most people most complications are recoverable, and the permanent kind is on the order of 1 in 350.

About 1 in 22 wisdom-tooth extractions has a complication; permanent nerve injury is nearer 1 in 350. Keep an asymptomatic one instead and about 64% end up extracted within 18 years anyway.

Read more → ⇋ regret

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] Journal of Oral and Maxillofacial Surgery (Bui CH, Seldin EB, Dodson TB. 2003;61(12):1379-89) — Types, frequencies, and risk factors for complications after third molar extraction
    Types, frequencies, and risk factors for complications after third molar extraction
    Statistic
    Overall complication rate 4.6% in 583 patients / 1,597 third molars removed; increasing age, positive medical history, and M3 position relative to the inferior alveolar nerve raised risk
    Excerpt
    “"The study sample was composed of 583 patients (57.0% male) with a mean age of 26.4 +/- 8.4 years. The overall complication rate was 4.6%. Increasing age, a positive medical history, and the position of the M3 relative to the inferior alveolar nerve were associated with an increased risk for complications." [Verbatim abstract sentences; the "1,597 third molars" figure appears in the paper's methods, not this abstract excerpt.] ”
    Source data from
    2003-12-01
    Accessed
    2026-07-14 · archived copy
    Calculation
    This 4.6% overall per-patient complication rate is the direct anchor for the native numerator (46/1000) and the normalized point estimate (0.046). It counts all reported complications across all third molars (upper and lower), so it is the broadest single composite available. It is not summed with the nerve-injury or dry-socket figures from the other sources -- those measure subsets of this same overall burden, on different denominators.
  2. [2] PLOS One (Chen YW, Chi LY, Lee CY. 2021;16(2):e0246625) — Revisit incidence of complications after impacted mandibular third molar extraction: A nationwide population-based cohort study
    Revisit incidence of complications after impacted mandibular third molar extraction: A nationwide population-based cohort study

    See all 2 Likelier entries citing this source →

    Statistic
    Cumulative complication rate 4.2% among 16,609 patients who had impacted mandibular third molars extracted: dry socket 3.66%, prolonged TMJ symptoms 0.41%, surgical-site infection 0.17%
    Excerpt
    “"The overall cumulative complication rate for iLM3 extraction was 4.2%. The incidence of DS [dry socket] was the highest (3.66%) [...] About 4 out of 1000 patients had temporomandibular joint symptoms and sought for treatment (0.41%) [...] the incidence of SSI [surgical-site infection] was very low (0.17%)." Among the 16,609 patients, aging was not found to be associated with any complication. ”
    Source data from
    2021-02-10
    Accessed
    2026-07-14 · archived copy
    Calculation
    An independent nationwide-cohort corroboration of the ~4-5% overall complication order of magnitude, from a different country and a much larger sample. It counts only three complication types on impacted lower thirds and excludes nerve injury, so its 4.2% is not directly comparable to Bui's 4.6% -- the convergence is partly coincidental across different composites. Used to bound the central estimate and to establish that dry socket, not nerve injury, dominates the complication count.
    Independence
    Taiwan National Health Insurance population database; methodologically and geographically independent of the US clinic-based Bui/Seldin/Dodson cohort.
  3. [3] Journal of Stomatology, Oral and Maxillofacial Surgery (Kang F, Sah MK, Fei G. 2020) — Determining the risk relationship associated with inferior alveolar nerve injury following removal of mandibular third molar teeth: A systematic review
    Determining the risk relationship associated with inferior alveolar nerve injury following removal of mandibular third molar teeth: A systematic review
    Statistic
    Across 23 studies (26,427 patients, 44,171 teeth), 1.20% developed transient inferior alveolar nerve deficit and 0.28% developed permanent deficit
    Excerpt
    “"Twenty-three studies out of 693 articles were finally included, summing a total of 26,427 patients (44,171 teeth). 1.20% developed transient IAN deficit and 0.28% developed permanent IAN deficit respectively. Depth of impaction, proximity to the mandibular canal, surgical technique, intra-operative nerve exposure, and surgeon experience were statistically significant contributing factors." [Verbatim abstract.] ”
    Source data from
    2020-08-01
    Accessed
    2026-07-14 · archived copy
    Calculation
    Supplies the "serious" endpoint that the headline composite understates: permanent inferior alveolar nerve injury at 0.28% (~1 in 350) and transient deficit at 1.20% (~1 in 83) of mandibular extractions. These are the numbers that answer the "serious" half of the question and are decomposed from the overall rate in the prose, not added to it.
    Independence
    Systematic review pooling 23 studies; independent of the two single-cohort sources and focused specifically on the nerve-injury endpoint.
  4. [4] Dentistry Journal (Kusnierek W, et al. 2022;10(7):121) — Smoking as a Risk Factor for Dry Socket: A Systematic Review
    Smoking as a Risk Factor for Dry Socket: A Systematic Review
    Statistic
    Combined dry-socket incidence 13.2% in smokers vs 3.8% in non-smokers across 11 studies (10,195 participants); tobacco smokers had a more than three-fold increase in odds
    Excerpt
    “"Eleven studies were included in this systematic review [...] a total of 10195 participants (including 3007 smokers and 7188 non-smokers). The combined incidence of dry socket in smokers was found to be about 13.2% and in non-smokers about 3.8%. Tobacco smokers had a more than three-fold increase in the odds of dry socket after tooth extraction." [Verbatim from open-access text.] ”
    Source data from
    2022-06-29
    Accessed
    2026-07-14 · archived copy
    Calculation
    Anchors the smoking multiplier. The dry-socket-specific ratio is ~3.5x (13.2 / 3.8), but the multiplier is applied to the OVERALL complication probability, not to dry socket alone. Because dry socket is the dominant but not sole component (~3.6% dry socket + ~1% other complications in the Chen cohort), a ~3.5x rise in the dominant term yields roughly (3.6 x 3.5 + 1) / 4.6 ~= 3.0x overall -- which is why the multiplier is set to 3.0x, not 3.5x. Applies to dry socket specifically, not nerve injury.
  5. [5] Journal of the American Dental Association (Bienek DR, Filliben JJ. 2016;147(6):394-404) — Risk assessment and sensitivity meta-analysis of alveolar osteitis occurrence in oral contraceptive users
    Risk assessment and sensitivity meta-analysis of alveolar osteitis occurrence in oral contraceptive users
    Statistic
    Among females, oral contraceptive use increased average alveolar-osteitis risk nearly 2-fold (13.9% vs 7.5%)
    Excerpt
    “"Among females, OC use significantly increased (P <= .05) the average risk of AO occurrence by nearly 2-fold (13.9% versus 7.5%). The risk ratio of AO in females not using OCs was 1.2 greater (P <= .05) than that in males." [Verbatim abstract sentences.] ”
    Source data from
    2016-06-01
    Accessed
    2026-07-14 · archived copy
    Calculation
    Anchors the oral-contraceptive multiplier (13.9 / 7.5 = ~1.85, rounded to 1.9x) for the dry-socket component in female patients. Applies to dry socket, the dominant complication.
    Independence
    Meta-analysis specific to oral-contraceptive exposure; independent of the smoking and nerve-injury reviews.
  6. [6] Journal of Oral and Maxillofacial Research (Sarikov R, Juodzbalys G. 2014;5(4):e1) — Inferior Alveolar Nerve Injury after Mandibular Third Molar Extraction: a Literature Review
    Inferior Alveolar Nerve Injury after Mandibular Third Molar Extraction: a Literature Review
    Statistic
    IAN neurosensory deficit highest with horizontal impaction (4.7%) vs vertical (0.9%); highest (11%) when the nerve is radiographically 'intimate' with the tooth
    Excerpt
    “"The incidence of IAN neurosensory deficit was highest with horizontal impaction (4.7%) and lowest when the teeth were vertically impacted (0.9%). The lowest incidences were seen when the nerve was either 'distant' (0.8%) or 'close' (0.9%), and highest when the nerve was classed as 'intimate' (11%). [...] IAN paresthesia occurs widely from 0.35% to 8.4%." [Verbatim from open-access review; the impaction/proximity figures are attributed by Sarikov and Juodzbalys 2014 to Smith 2013, and are cited here as such.] ”
    Source data from
    2014-12-29
    Accessed
    2026-07-14 · archived copy
    Calculation
    Anchors the impaction-depth / canal-proximity multiplier for the nerve-injury endpoint: horizontal vs vertical impaction is a ~5x gradient (4.7% vs 0.9%), and radiographic "intimate" canal contact reaches 11%. Applied conservatively as a ~5x factor on the nerve-injury risk, which is the serious tail of the composite rather than the dominant dry-socket component.
    Independence
    Open-access narrative review; the anatomical-risk figures derive from Smith (2013) and are cited as such rather than as this review's own primary data.
  7. [7] Journal of Oral and Maxillofacial Surgery (Chuang SK, Perrott DH, Susarla SM, Dodson TB. 2007;65(9):1685-92) — Age as a risk factor for third molar surgery complications
    Age as a risk factor for third molar surgery complications
    Statistic
    In a prospective cohort of 4,004 subjects / 8,748 third molars (overall complication rate 19%), age above 25 years was associated with an increased risk of complications (odds ratio 1.5; P = .05)
    Excerpt
    “"The study sample was comprised of 4,004 subjects having a total of 8,748 M3s removed. The mean age was 39.8 +/- 13.6 years [...] The overall complication rate was 19%. In the multiple regression model, age above 25 years was associated with an increased risk of complications (odds ratio = 1.5; P = .05)." [Verbatim abstract sentences.] ”
    Source data from
    2007-09-01
    Accessed
    2026-07-14 · archived copy
    Calculation
    Names the source and effect size (OR ~1.5) for the "age over 25 at extraction" multiplier. This is a prospective cohort with a much older mean age than Bui's, so its age gradient is well powered. Note the evidence is mixed: Chen et al. 2021 (16,609 patients) found no age association, so the 1.5x factor is applied cautiously as an upper-plausible rather than settled effect.
    Independence
    Distinct US prospective cohort (Chuang/Dodson group); the "age over 25" effect it supplies is independent of the Bui and Chen cohorts, which disagree on age.
  8. [8] Journal of Oral and Maxillofacial Surgery (Chuang SK, Perrott DH, Susarla SM, Dodson TB. 2008;66(11):2213-8) — Risk factors for inflammatory complications following third molar surgery in adults
    Risk factors for inflammatory complications following third molar surgery in adults
    Statistic
    In the same prospective cohort (4,004 subjects / 8,748 third molars), the adjusted odds ratio for any inflammatory complication rose with impaction depth: soft-tissue OR 2.5 (95% CI 1.7-3.7), partial-bony OR 4.7 (95% CI 3.6-6.1), full-bony OR 6.0 (95% CI 4.7-7.7), all P < .0001, relative to erupted teeth
    Excerpt
    “"4,004 subjects with a mean age of 39.8 +/- 13.6 years having 8,748 M3s extracted [...] In the multiple regression model, impaction level was associated with an increased risk of inflammatory complications: soft tissue impaction (OR = 2.5; 95% CI, 1.7, 3.7), partial bony impaction (OR = 4.7; 95% CI, 3.6, 6.1), and full bony impaction (OR = 6.0; 95% CI, 4.7, 7.7)." [Verbatim/near-verbatim abstract figures.] ”
    Source data from
    2008-11-01
    Accessed
    2026-07-14 · archived copy
    Calculation
    The same-denominator, overall-complication grounding for the deep-impaction multiplier. Because these ORs are for ANY inflammatory complication on one cohort (not a nerve-only or dry-socket-only subset), they avoid the cross-denominator mixing the assumptions block warns against. Reference category is erupted teeth; the site headline (4.6%) is an all-impaction-types average, so the average-to-full-bony multiplier is smaller than the raw 6.0 (see the multiplier note).
    Independence
    Companion analysis of the same Chuang/Dodson cohort as the 2007 age paper; cited for the impaction-depth gradient, not treated as an independent sample.

434 risks with measured probability
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acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Housing crash — 1 in 8.3 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 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 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 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 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 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 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 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 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 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 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 45,662 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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