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Perceived fear vs. actual probability

What are the odds of getting pregnant when relying on condoms or other contraception?

Lifetime probability · activity

~13% per first year relying on condoms alone

13% lifetime chance

Most people underestimate this.

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

Health · reviewed 2026-09-27
Evidence quality 3.88/5

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
4/5
D4 Uncertainty
3/5
D5 Scope
3/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
4/5
Average 3.88/5
Direct evidence
Source Government statistic · Centers for Disease Control and Prevention
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 2.0 1 in 85

● your factors — click this risk ▾ to reveal

  1. Your factors
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Perceived

Condoms and the pill are widely described as "99% effective", which is roughly their perfect-use performance, not what happens across a year of ordinary use. In a survey of 500 US women aged 18-45, only 2.2% correctly estimated the typical-use efficacy of both male condoms and combined oral contraceptives, and over two-thirds significantly overestimated the efficacy of each. The perceived risk of a pregnancy on condoms is therefore lower than the measured one, while the specific fear of a condom breaking is probably larger than breakage's actual share of failures.

Rough estimate: Over two-thirds of surveyed women overestimated typical-use condom and pill efficacy, often calling them 99% effective

Source: Contraception and Reproductive Medicine (Kakaiya, Lopez & Nelson) (2017) — Women's perceptions of contraceptive efficacy and safety

Actual

~13 in 100 couples pregnant within the first year of typical male-condom use

US women whose contraceptive method was the male condom, 2006-2010 National Survey of Family Growth

Show derivation

Scope is activity_specific_lifetime: the figure is the probability of an unintended pregnancy within the first 12 months of relying on the male condom as the only method (typical use, which includes inconsistent and incorrect use), from Sundaram et al. 2017's analysis of the 2006-2010 NSFG. It is not a US-adult lifetime probability and is not converted into one, because lifetime exposure depends on how many years a person relies on condoms, how often they have sex, whether they switch methods, and fecundity, none of which has a defensible population default. The uncertainty band runs from 10% to 18%. The lower bound is the rounded-down lower limit of a 95% interval around Sundaram's unrounded 12.6% (standard error 1.11, as reported by Bradley et al. 2019: 12.6 +/- 1.96 x 1.11 = 10.4% to 14.8%). The upper bound is not a sampling interval; it reflects measurement and period uncertainty, taking Trussell 2011's typical-use table value and the 1995 NSFG condom figure (both 18%), which rest on older data and different corrections for abortion underreporting. Subgroup and short-window figures (7% for higher-income users, 7% over six cycles in the Walsh 2004 trials) describe variation between couples or shorter exposure, not uncertainty in the average, and are kept out of the band.

Caveats: The headline is a first-year, typical-use rate for couples whose method was the …

The headline is a first-year, typical-use rate for couples whose method was the male condom, measured by the 2006-2010 National Survey of Family Growth; later NSFG cycles may differ, and survey estimates depend on correcting for underreported abortions. It is a per-couple annual probability, not a per-act probability and not a lifetime one. No source used here gives a robust probability of pregnancy from a single act following a condom break; that depends on cycle day and is not estimated. Breakage rates vary widely by setting: 0.4% of condoms in the Walsh 2004 clinical trials versus 5.6% of events among 1990s family-planning clients in Steiner et al. 1994. No source used here splits the 13% into breakage, slippage, incorrect use and non-use; the gap between the 13% typical-use and 2% perfect-use figures is, by definition, what inconsistent and incorrect use add. Failure rates differ by income in the NSFG data (7% at or above 200% of poverty versus 15% at 100-199%); that spread is variation between couples and is not folded into the 10-18% uncertainty band, whose low end comes from the sampling interval around the 12.6% estimate and whose high end reflects older, differently corrected estimates (18%). Estimates for other methods come from different sources (Sundaram's NSFG values versus Trussell's and Contraceptive Technology's tables) and should be compared within a source where possible. CDC data show about 41.6% of US pregnancies in 2019 were unintended, but that share includes pregnancies where no method was used and cannot be read as a contraceptive-failure rate. The perception figures come from a convenience sample of 500 women, not a representative survey. The quoted excerpts were checked on 2026-09-26 against Europe PMC abstracts and the Guttmacher fact sheet; bracketed passages are labelled paraphrases, and Trussell's table values are paraphrased rather than quoted.

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Compare to:

Among US couples relying on the male condom as their only method, about 13 in 100 have a pregnancy within the first year, according to Sundaram and colleagues’ analysis of the 2006-2010 National Survey of Family Growth. With perfect use, meaning a condom every time and put on correctly, the figure is about 2 in 100. The pill sits at about 7 in 100 under typical use, withdrawal at about 20, and IUDs and implants at about 1. With no method at all, Trussell’s 2011 review puts the first-year figure at 85 in 100.

The fear usually takes the form of a condom breaking, but no study located splits the 13% into breakage, slippage, incorrect use and non-use. In the Walsh 2004 clinical trials, 0.4% of condoms broke and 1.1% slipped off, roughly one in 250 and one in 90. Field studies report more: in Steiner’s 1994 study of family-planning clients, breakage occurred in 5.6% of events. The gap between typical use (13%) and perfect use (2%) is, by definition, what inconsistent and incorrect use add over a year, including the times a condom is not used at all. The public picture runs the other way on the overall number. In a 2017 convenience sample of 500 women, over two-thirds overestimated how well condoms and the pill work in typical use, often calling them 99% effective, which is closer to the perfect-use figure than to what couples actually experience.

The 13% is an average across very different couples. In the NSFG data, condom users with incomes at least twice the poverty level had a first-year failure rate of about 7%, versus about 15% among those between one and two times the poverty level. The condoms are the same product, so the gap presumably reflects who uses them and how consistently. The figure is also strictly a first-year rate, and this entry does not convert it into a multi-year or lifetime total: the number of years a person relies on condoms, how often they have sex and whether they switch methods vary too much for a single default to mean anything.

Condoms are often called 99% effective, yet about 13 in 100 couples relying on them alone have a pregnancy within the first year of typical use; perfect use gets that to about 2. After a vasectomy, the figure is about 15 in 10,000.

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 Sexual and Reproductive Health / Sundaram, Vaughan, Kost, Bankole, Finer, Singh & Trussell (Guttmacher Institute) — Contraceptive Failure in the United States: Estimates from the 2006-2010 National Survey of Family Growth
    Contraceptive Failure in the United States: Estimates from the 2006-2010 National Survey of Family Growth
    Statistic
    First-12-month typical-use failure: male condom 13%, withdrawal 20%, IUD and implant 1%; condom failure down from 18% in 1995. Condom failure 7% at incomes at least 200% of poverty vs 15% at 100-199% of poverty.
    Excerpt
    “[Abstract sentences below checked verbatim against the Europe PMC abstract, 2026-09-26] "Long-acting reversible contraceptives (the IUD and the implant) had the lowest failure rates of all methods (1%), while condoms and withdrawal carried the highest probabilities of failure (13% and 20%, respectively). However, the failure rate for the condom had declined significantly since 1995 (from 18%), as had the failure rate for all hormonal methods combined (from 8% to 6%)." [Paraphrase from abstract, not verbatim: the analysis used 15,728 contraceptive use intervals contributed by 6,683 women; women with incomes at least 200% of the poverty threshold had lower condom failure than those at 100-199% of poverty (7% vs. 15%).] ”
    Source data from
    2017-02-28
    Accessed
    2026-09-26
    Calculation
    Headline native = 13/100 couples pregnant within 12 months of typical male-condom use. Normalized = 0.13 (activity-specific, no further transformation). log10(0.13) = -0.886. Multipliers relative to the 13% condom baseline: IUD/implant 1/13 = 0.08; condom users with income at least 200% of poverty 7/13 = 0.54 (against the all-user average, not against the 100-199% group, whose 15% is 1.15x). The pill's 7% is taken from the Guttmacher fact sheet: 7/13 = 0.54. The 1995 figure of 18% sets the upper end of the uncertainty band. Withdrawal's 20% is cited in prose only (20/13 = 1.54, below the 2x factor bar).
    Independence
    Primary NSFG analysis. The Guttmacher fact sheet below summarizes the same Guttmacher-led estimates and is not independent for the 13% figure; Trussell 2011 (a different data basis and editorial synthesis) and the Walsh 2004 clinical trials are the independent cross-checks.
  2. [2] Guttmacher Institute — Contraceptive Effectiveness in the United States
    Contraceptive Effectiveness in the United States
    Statistic
    Male condom: typical-use failure 13%, perfect-use failure 2%. Pill: typical-use 7%. Implant and IUD: under 1% for both typical and perfect use.
    Excerpt
    “[Sentences below checked verbatim against the fact sheet, 2026-09-26] "Contraceptive failure rates are defined as the proportion of women who will become pregnant within the first 12 months after initiating method use." "The male condom has a typical-use failure rate of 13%, and a perfect-use failure rate of 2%." "The pill, ring and patch have typical-use failure rates of 7%, and perfect-use failure rates of less than 1%." [Paraphrase, not verbatim: the implant and the IUD are described as the most effective reversible methods, with failure rates under 1% for both typical and perfect use.] ”
    Source data from
    2020-04-01
    Accessed
    2026-09-26
    Calculation
    Supplies the perfect-use condom figure (2%) that the NSFG cannot measure. Perfect-use multiplier = 2/13 = 0.15. The typical-use 13% matches Sundaram 2017. source_date is the fact sheet's stated month (April 2020); the day is set to the 1st.
    Independence
    Guttmacher summary drawing on Sundaram 2017 (typical use) and Contraceptive Technology (perfect use); not independent of source 1 for typical-use figures.
  3. [3] Contraception 83(5):397-404 / Trussell J — Contraceptive failure in the United States
    Contraceptive failure in the United States
    Statistic
    Percentage experiencing an unintended pregnancy in the first year: male condom 18% typical use, 2% perfect use; no method 85%
    Excerpt
    “[Abstract sentences confirmed verbatim via search-engine indexing; journal host unreachable] "This review provides an update of previous estimates of first-year probabilities of contraceptive failure for all methods of contraception available in the United States. Estimates are provided of probabilities of failure during typical use (which includes both incorrect and inconsistent use) and during perfect use (correct and consistent use)." [Paraphrase of the summary table, not verbatim: no method 85%; male condom 18% typical use, 2% perfect use.] ”
    Source data from
    2011-05-01
    Accessed
    2026-09-26
    Calculation
    18% typical-use condom value sets the upper end of the uncertainty band (0.18). No-method 85% gives the no-contraception contrast: 85/13 = 6.5x the condom baseline. Trussell's table was built partly from older NSFG cycles corrected for abortion underreporting, which is why it runs higher than Sundaram's 13%.
    Independence
    Editorial synthesis in Contraception; Trussell is also a co-author of Sundaram 2017, so the two share methodology lineage, but the 2011 table rests on earlier data.
  4. [4] Contraception / Walsh, Frezieres et al. — Effectiveness of the male latex condom: combined results for three popular condom brands used as controls in randomized clinical trials
    Effectiveness of the male latex condom: combined results for three popular condom brands used as controls in randomized clinical trials
    Statistic
    Clinical breakage 0.4% and slippage 1.1% over the first five condom uses; six-cycle typical-use pregnancy rate 7.0% (95% CI 5.0-9.0), consistent-use 1.0% (95% CI 0.0-2.1); ~800 couples, 3,526 cycles
    Excerpt
    “[Abstract sentences confirmed verbatim via search-engine indexing; PubMed and the journal host unreachable] "The combined clinical breakage rate for the first five condom uses was 0.4% for the three latex brands and the combined clinical slippage rate was 1.1%. The combined six-cycle typical-use pregnancy rate for the latex condoms was 7.0% (95% confidence interval 5.0-9.0)." "The combined six-cycle consistent-use pregnancy rate was 1.0% (95% confidence interval 0.0-2.1)." [Paraphrase, not verbatim: data covered 3,526 menstrual cycles from approximately 800 couples using Ramses Sensitol, LifeStyles or Trojan-Enz condoms.] ”
    Source data from
    2004-11-01
    Accessed
    2026-09-26
    Calculation
    Per-condom breakage 0.4% (about 1 in 250) and slippage 1.1% (about 1 in 90) under trial conditions. Six-cycle typical-use 7.0% in a motivated trial cohort covers a shorter window than the 12-month headline and is not used in the uncertainty band; it is not annualized here because trial dropout and selection make a straight extrapolation unreliable.
    Independence
    Randomized-trial data, independent of the NSFG survey estimates in sources 1-3.
  5. [5] Contraception / Steiner et al. (1994) — Breakage and slippage of condoms in family planning clients
    Breakage and slippage of condoms in family planning clients
    Statistic
    One or more major problems (breakage, slippage, leakage) in 410 of events (10.9%) involving 217 clients (40.2%); breakage in 209 events (5.6%), slippage in 243 (6.5%)
    Excerpt
    “[Abstract sentence confirmed verbatim via search-engine indexing; PubMed and the journal host unreachable] "One or more major problems, breakage, slippage, leakage or a combination of these, occurred in 410 (10.9%) events, involving 217 (40.2%) clients." [Paraphrase, not verbatim: data came from 540 clients on 3,754 occasions of condom use over one month; breakage occurred in 209 (5.6%) events and slippage in 243 (6.5%).] ”
    Source data from
    1994-07-01
    Accessed
    2026-09-26
    Calculation
    Field-use contrast to Walsh 2004: breakage per event 5.6% vs 0.4% in a controlled trial, a roughly 14-fold spread (5.6 / 0.4 = 14). Used in prose and caveats only; not an input to the headline.
    Independence
    Independent 1990s field study in family-planning clients; different population, era and condom stock from Walsh 2004. source_date month approximate.
  6. [6] Contraception and Reproductive Medicine / Kakaiya, Lopez & Nelson — Women's perceptions of contraceptive efficacy and safety
    Women's perceptions of contraceptive efficacy and safety
    Statistic
    Of 500 women aged 18-45, 2.2% correctly estimated typical-use efficacy of both combined oral contraceptives and male condoms; over two-thirds significantly overestimated each
    Excerpt
    “[Abstract sentences confirmed verbatim via search-engine indexing; host unreachable] "A convenience sample of 500 women aged 18-45 years, with education levels that ranged from middle school to postdoctoral level was interviewed." "The efficacy in typical use of both combined oral contraceptives and male condoms was correctly estimated by 2.2%; over two-thirds of women significantly overestimated the efficacy of each of those methods in typical use." "The majority of reproductive aged women surveyed substantially overestimated the efficacy of the two most popular contraceptive methods, often saying that they were 99% effective." ”
    Source data from
    2017-06-01
    Accessed
    2026-09-26
    Calculation
    Perception input only. "99% effective" implies a perceived annual failure of about 1% against a measured 13%, a gap of roughly 13-fold for typical use. Not an input to the headline number.
    Independence
    Independent perception survey; unrelated to the NSFG and trial data.
  7. [7] Studies in Family Planning 50(1) / Bradley, Polis, Bankole & Croft — Global Contraceptive Failure Rates: Who Is Most at Risk?
    Global Contraceptive Failure Rates: Who Is Most at Risk?
    Statistic
    Cites the Sundaram et al. 2017 NSFG 2006-2010 first-year condom failure estimate as 12.6 (SE 1.11), against a pooled 43-country DHS condom estimate of 8.6
    Excerpt
    “[Paraphrase from search-engine indexing of the article, not verbatim; PMC and the publisher host unreachable from the authoring environment] In comparing its pooled Demographic and Health Survey estimates with US figures, the article reports the Sundaram et al. (2017) condom failure estimate from 2006-2010 NSFG data as 12.6 with a standard error of 1.11, lower than earlier US rates but higher than its own global condom estimate of 8.6. ”
    Source data from
    2019-02-01
    Accessed
    2026-09-26
    Calculation
    95% interval = 12.6 +/- 1.96 x 1.11 = 12.6 +/- 2.18 = 10.4% to 14.8%. The lower limit, rounded down to 0.10, sets the low end of the uncertainty band. The standard error should be confirmed against Sundaram 2017's own table on verification.
    Independence
    Secondary report of the Sundaram 2017 standard error; not independent of source 1 for the condom figure. Its own DHS estimates are not used here.
  8. [8] Centers for Disease Control and Prevention — Unintended Pregnancy | Reproductive Health | CDC
    Unintended Pregnancy | Reproductive Health | CDC

    See all 2 Likelier entries citing this source →

    Statistic
    41.6% of US pregnancies in 2019 were unintended; rate 35.7 per 1,000 females aged 15-44
    Excerpt
    “"The percentage of U.S. pregnancies that were unintended declined from 43.3% in 2010 to 41.6% in 2019. Unintended pregnancy rates declined by 15%, from 42.1 per 1,000 females aged 15-44 years in 2010 to 35.7 per 1,000 in 2019. Despite this progress, about 4 in 10 pregnancies in the United States are still unintended." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-10
    Calculation
    Context only, not an input to the headline. Excerpt reused from the verified citation in the getting-tubal-ligation regret-pair (accessed 2026-05-10); cdc.gov was not reachable from this session. Unintended pregnancies include those with no method in use, so this share cannot be attributed to contraceptive failure alone.
    Independence
    National surveillance-based estimate, independent of the method-specific failure data.

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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 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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 Kitchen knife tendon cut — 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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