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Likelier

Perceived fear vs. actual probability

What are the odds of your personal data being exposed in a data breach?

Lifetime probability

~95% cumulative probability over an adult

95% lifetime chance

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

Tech · reviewed 2026-06-14
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
4/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5
Direct evidence
Source Government statistic · Federal Trade Commission (FTC)
lifetime, US adult each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
A single padlock with a hairline crack running through it, flat vector illustration, muted tones.

Perceived

Gallup does not poll data breaches specifically, but its closest proxy — identity theft — tops the annual crime-worry list. In the October 2024 wave, 69% of US adults said they worry frequently or occasionally about having their identity stolen, the highest figure on the survey. Because identity theft is overwhelmingly downstream of data breaches, the 69% figure is a reasonable proxy for breach-related anxiety. A 2023 Pew Research survey separately found that 79% of US adults expressed concern about how companies use their personal data.

Rough estimate: 69% of US adults worry about identity theft, the nearest proxy (Gallup 2024)

Source: Gallup (2024) — Crime — Gallup Historical Trends

Actual

~3,322 data compromises in 2025, ~279 million victim notices

US individuals with data held by breached organizations

Show derivation

The ITRC's 2025 Annual Data Breach Report recorded 3,322 data compromises with 278.8 million victim notices. In 2024, the figure was 1.35 billion victim notices across 3,158 compromises (inflated by mega-breaches like Change Healthcare at 190M+ records). Using the more conservative 2025 figure, approximately 279 million victim notices were issued against a US population of ~335 million, implying ~83% of the population received at least one breach notification in a single year. However, victim notices double-count individuals affected by multiple breaches. Adjusting for overlap with a capture-recapture heuristic, the annual unique-individual exposure rate is estimated at 35–50%. Even at the conservative 35% annual rate, compounding over a 59-year adult lifetime gives 1 − (1 − 0.35)^59 ≈ effectively 1.0. Using a more moderate 5% annual probability of a first-ever exposure (for someone whose data has never been breached before — accounting for the fact that most adults are already exposed) compounded over 59 years gives 1 − (1 − 0.05)^59 ≈ 0.953. The 95% central estimate reflects the near-certainty of cumulative exposure, with the uncertainty band acknowledging definitional ambiguity around what counts as "your" data being "exposed." The lower bound was raised from 0.80 to 0.90 in the 2026-06-14 review: the ITRC's 2025 consumer survey (N=1,040) found that 80% of respondents received at least one breach notice in the past 12 months and nearly 40% received three to five — a near-universal single-year exposure rate that makes a sub-90% cumulative lifetime probability implausible. The point estimate is deliberately held at 0.95 rather than revised upward, because ITRC is a nonprofit reputable_reference rather than a government statistical agency and the slippery exposure-vs-harm distinction counsels against pushing the headline closer to 1.0.

Caveats: "Data breach exposure" is a definitionally slippery concept. A breach that leaks…

"Data breach exposure" is a definitionally slippery concept. A breach that leaks your name and email address is categorically different from one that leaks your Social Security number, medical records, or financial credentials — yet the ITRC counts them identically in its compromise tallies. The 95% lifetime figure means that virtually every adult with a digital footprint will have some data exposed at some point; it does not mean that 95% of adults will suffer financial harm from a breach. The conversion rate from exposure to actual identity theft or financial loss is much lower — the FTC received about 1.1 million identity-theft complaints in 2024, a tiny fraction of the breach-exposed population. The number is also US-centric in its normalization but the phenomenon is global; breach rates in the EU and Asia-Pacific are comparable. Finally, "victim notices" overcount unique individuals (one person receives multiple notices) and simultaneously undercount exposure (many breaches go undetected or unreported, and 70% of 2025 notices omitted attack-vector details entirely). A further wrinkle is that the headline *volume* of exposure is dominated by a handful of mega-breaches rather than the long tail of incidents. The ITRC tracked a record 3,322 compromises in 2025 — up 5% over 2024 — yet victim notices fell 79%, from 1.37 billion in 2024 to 279 million in 2025, simply because 2025 lacked any mega-breach on the scale of 2024's Change Healthcare incident. This decoupling means notice counts are a poor year-over-year proxy for individual risk: the number of breaches rose while reported exposure volume collapsed. The probability that *you* are caught up in exposure each year is near-universal and stable (the ITRC survey puts it at 80% in a single year); the raw notice total swings wildly with whether a few catastrophic breaches happened to land in that calendar year.

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Compare to:

The question is not whether your data has been exposed in a breach. The question is how many times. The Identity Theft Resource Center tracked a record 3,322 data compromises in the United States in 2025, generating roughly 279 million victim notices. In 2024, the figure was 1.37 billion notices — more than four per American — inflated by mega-breaches like the Change Healthcare incident that alone exposed over 190 million records. Healthcare data alone has been breached at a volume exceeding 2.6 times the US population since 2009. Compounding even a conservative annual first-exposure rate over a 59-year adult lifetime pushes the cumulative probability to roughly 95%, which is a polite way of saying near-certainty.

What makes data-breach risk unusual among Likelier entries is that it inverts the normal fear-vs-reality pattern. Most fears on this site are overestimated. Data-breach exposure is, if anything, underestimated — not because people think it is rare, but because they rarely compute the cumulative arithmetic. A 35-year-old American in 2026 has lived through the Equifax breach (147 million records), the Yahoo breach (3 billion accounts), the Change Healthcare breach, and thousands of smaller incidents. The probability that none of their personal data appeared in any of those events is negligible. The emotional disconnect is that “exposure” feels abstract until it converts into identity theft or financial loss, which happens to a much smaller fraction.

The important caveat is that “exposure” is not “harm.” The ITRC’s victim-notice count treats a leaked email address the same as a leaked Social Security number. Most breached records never result in measurable financial damage to the individual. The FTC received about 1.1 million identity-theft complaints in 2024 — less than 0.1% of the breach-notification volume. So while the probability of data exposure approaches 1, the probability of consequential harm from any given breach remains low. The risk is cumulative and combinatorial: each additional exposure adds another data point that can be cross-referenced against previous leaks, gradually assembling a more complete profile that is more useful to a motivated attacker.

Roughly 95% cumulative probability over an adult lifetime that your personal data is exposed in a breach. In 2025 alone there were about 3,322 data compromises and around 279 million victim notices.

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] Identity Theft Resource Center — Identity Theft Resource Center 2025 Annual Data Breach Report
    Identity Theft Resource Center 2025 Annual Data Breach Report
    Statistic
    3,322 data compromises in 2025 with 278,827,933 victim notices; 5% increase in compromises over 2024; record number of tracked compromises
    Excerpt
    “"The ITRC tracked a record 3,322 data compromises in 2025, a 5% increase over 2024. The number of victim notices was 278,827,933, a 79% decrease from 2024's 1,367,117,021, due to the absence of mega-breaches on the scale of Change Healthcare." ”
    Source data from
    2026-01-29
    Accessed
    2026-04-12 · archived copy
    Calculation
    The 278.8 million victim notices in 2025 divided by ~335 million US population yields ~0.83 notices per person. But notices are not unique individuals — one person can receive multiple breach notifications. The ITRC notes that 70% of 2025 breach notices did not include attack-vector information, further complicating deduplication. The 2024 figure of 1.37 billion victim notices (driven by Change Healthcare's 190M+ exposure) illustrates how a single mega-breach can exceed the entire US population in notice count. For lifetime normalization, we use the conservative annual unique-individual rate of ~5% first-time exposure compounded over 59 years. Note: the ITRC is a 501(c)(3) nonprofit, not a government statistical agency; its breach counts rely on voluntary and regulatory disclosures rather than a census-grade collection mandate. No federal agency publishes a comparable all-sector breach tally, so ITRC is the best available source but carries the authority gap inherent in non-governmental data aggregation.
    Independence
    ITRC compiles breach data from state attorney general notifications, SEC filings, and federal regulatory disclosures. It is independent of the FTC's Consumer Sentinel Network, which tracks consumer complaints rather than breach disclosures.
  2. [2] Identity Theft Resource Center (via PR Newswire) — ITRC 2025 Annual Data Breach Report consumer survey (N=1,040)
    ITRC 2025 Annual Data Breach Report consumer survey (N=1,040)
    Statistic
    In an ITRC consumer survey of 1,040 US adults, 80% reported receiving at least one data breach notice in the past 12 months and nearly 40% received three to five separate notices in the past year
    Excerpt
    “"As part of the 20th anniversary of the Data Breach Report, the ITRC asked 1,040 consumers if they had received a data breach notice in the past 12 months. The survey reveals that data breaches are a near-universal experience for consumers, with 80 percent of respondents having received a data breach notice in the last 12 months. Nearly 40 percent of people responding to the survey received three to five separate notices in the past year." ”
    Source data from
    2026-01-29
    Accessed
    2026-06-14 · archived copy
    Calculation
    This is the first direct, individual-level measurement of annual breach-notice incidence cited in this entry — prior figures were aggregate notice counts (which double-count individuals). An 80% one-year notice rate confirms empirically what the per-capita notice arithmetic only implied: annual breach exposure is near-universal for US adults with a digital footprint. Applied here as corroboration that tightens the lower bound of the lifetime uncertainty band — if 80% are notified in a single year, a sub-90% cumulative lifetime probability is no longer plausible. The point estimate is held at 0.95 rather than revised upward, because ITRC is a 501(c)(3) nonprofit reputable_reference, not a government statistical agency, and a revise of the headline number is reserved for official-agency updates. Survey caveat: self-reported recall over a 12-month window may overstate (notice fatigue conflating spam with real notices) or understate (forgotten or unopened notices) the true rate.
    Independence
    This is the consumer-survey component of the same ITRC 2025 report whose breach counts are cited above; it is a methodologically distinct instrument (a polled sample of individuals) rather than the aggregate breach-notice tally, so it corroborates rather than restates the count-based figure.
  3. [3] Verizon Business — 2024 Data Breach Investigations Report (DBIR)
    2024 Data Breach Investigations Report (DBIR)
    Statistic
    Verizon DBIR 2024 analyzed 30,458 security incidents and 10,626 confirmed breaches across 94 countries, confirming that the majority of breaches involve stolen credentials or human error rather than sophisticated attacks
    Excerpt
    “"This year's dataset includes 30,458 real-world security incidents, of which 10,626 (about one-third) were confirmed data breaches. 68 percent of breaches involved a non-malicious human element, such as a person falling victim to a social engineering attack or making an error." ”
    Source data from
    2024-05-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    Verizon DBIR does not publish a per-individual "exposure probability" — its unit of analysis is the incident/breach, not the person. Used here as a corroborating source for the claim that breaches are common, widely distributed, and driven by credential/phishing vectors rather than targeted attacks on individuals. This shifts the entry's framing from "probability of being a specific victim" to "probability of being swept up in aggregate exposure."
    Independence
    Verizon DBIR aggregates incident data from ~100 contributing organizations (forensic firms, CSIRTs, law enforcement including US Secret Service). This is methodologically independent of ITRC's public-breach-notice tracking, which counts disclosed consumer breaches rather than investigated incidents.
  4. [4] Identity Theft Resource Center — ITRC 2024 Annual Data Breach Report
    ITRC 2024 Annual Data Breach Report
    Statistic
    3,158 data compromises in 2024 with 1,728,519,397 victim notices; 1.7 billion individuals' data compromised
    Excerpt
    “"The number of data breach notices issued in 2024 (1,728,519,397) increased 312 percent from 2023 (419,337,446)... In 2024, six data breaches were reported that each involved more than 100 million records. More than 1.7 billion individuals had personal data compromised in 2024, and there were 3,158 data compromises." ”
    Source data from
    2025-01-29
    Accessed
    2026-04-12 · archived copy
    Calculation
    The 2024 figure of 1.37 billion victim notices against a US population of ~335 million means the average American received roughly 4 breach notifications in a single year. This is consistent with the cumulative-near-certainty thesis: if breach exposure is this frequent in a single year, the probability of never being exposed over a full adult lifetime approaches zero. The 2024 figure is inflated by outlier mega-breaches and should not be used as a stable annual rate, which is why the 2025 figure is preferred for the central estimate.
    Independence
    The 2024 Annual Data Breach Report is the prior-year edition from the same ITRC methodology; included for the 72% year-over-year record count rather than as an independent estimate.
  5. [5] HIPAA Journal — Healthcare Data Breach Statistics
    Healthcare Data Breach Statistics
    Statistic
    7,357 healthcare data breaches affecting 935.5 million records between 2009 and 2025 — more than 2.6x the US population
    Excerpt
    “"Between 2009 and 2025, 7,357 healthcare data breaches of 500 or more records have been reported to the HHS Office for Civil Rights, resulting in the exposure of more than 935,521,931 healthcare records — more than 2.6 times the population of the United States." ”
    Source data from
    2026-03-15
    Accessed
    2026-04-12 · archived copy
    Calculation
    Healthcare alone has exposed records equivalent to 2.6x the US population over 16 years. Even with substantial deduplication (same person, multiple breaches), this implies the vast majority of Americans with any healthcare history have had protected health information exposed at least once. Healthcare is one sector among many — financial services, retail, government, and education add further exposure. Used as corroborating evidence for the near-certainty cumulative estimate, not as the primary source.
    Independence
    HIPAA Journal tracks breaches reported to the HHS Office for Civil Rights under the HIPAA Breach Notification Rule. This is a regulatory pipeline entirely independent of the ITRC's state-AG-based tracking.
  6. [6] Federal Trade Commission (FTC) — Equifax to Pay $575 Million as Part of Settlement with FTC, CFPB, and States Related to 2017 Data Breach
    Equifax to Pay $575 Million as Part of Settlement with FTC, CFPB, and States Related to 2017 Data Breach
    Statistic
    The 2017 Equifax data breach exposed approximately 147 million US consumers' sensitive personal information, including Social Security numbers, names, addresses, and dates of birth
    Excerpt
    “"In September of 2017, Equifax, a nationwide credit reporting company headquartered in Atlanta, Georgia, announced that a data breach at the company resulted in the exposure of approximately 147 million U.S. consumers' sensitive personal information, including names, addresses, social security numbers, and dates of birth." ”
    Source data from
    2019-07-22
    Accessed
    2026-07-03 · archived copy
    Calculation
    Cited in the body prose as a concrete, named illustration of the cumulative-exposure argument — a typical American adult has very likely had some personal data exposed in at least one major named breach. Not used in the lifetime-probability arithmetic itself, which relies on the ITRC annual victim-notice figures above; included only to ground the specific "Equifax breach (147 million records)" reference in the body text.
    Independence
    FTC/CFPB regulatory settlement documentation, independent of the ITRC's breach-notice tracking and of Verizon's DBIR incident dataset.
  7. [7] Wikipedia — Yahoo data breaches
    Yahoo data breaches
    Statistic
    Yahoo's 2013 breach, initially disclosed in December 2016 as affecting 1 billion accounts, was revised in October 2017 to confirm all 3 billion Yahoo accounts existing at the time were compromised
    Excerpt
    “"Almost a year later, in October 2017 they revised that estimate and reported that all three billion Yahoo accounts had been compromised in the breach." ”
    Source data from
    2017-10-03
    Accessed
    2026-07-03 · archived copy
    Calculation
    Cited in the body prose alongside Equifax as a second concrete named mega-breach illustrating cumulative lifetime exposure. Not used in the lifetime-probability arithmetic. Grounds the "Yahoo breach (3 billion accounts)" reference in the body text; the 3-billion revision is corroborated by contemporaneous reporting (e.g. the Wall Street Journal's October 3, 2017 story "Yahoo Triples Estimate of Breached Accounts to 3 Billion," cited in this Wikipedia article's references) and Yahoo/Verizon's own SEC disclosures.
    Independence
    Tertiary compilation source; the underlying disclosure is Yahoo's own 2017 SEC filings and contemporaneous news reporting. Included only as corroboration for a widely reported, uncontested figure not itself covered by this entry's other four sources.
  8. [8] Federal Trade Commission (FTC) — Consumer Sentinel Network Data Book 2024
    Consumer Sentinel Network Data Book 2024

    See all 4 Likelier entries citing this source →

    Statistic
    FTC Consumer Sentinel Network received 6.5 million consumer reports in 2024; identity theft was the largest single category at approximately 1.1 million reports, about 17% of all reports
    Excerpt
    “"During 2024, Sentinel received 6.5 million consumer reports, which the FTC has sorted into 29 top categories. ... In 2024, there were more than 1.1 million reports of identity theft received through the FTC's IdentityTheft.gov website." ”
    Source data from
    2025-03-01
    Accessed
    2026-07-03 · archived copy
    Calculation
    Grounds the body prose's and caveats' "the FTC received about 1.1 million identity-theft complaints in 2024" reference (which previously named the FTC without a citation). Both figures are now quoted verbatim in the excerpt above: the 6.5-million-report total and the >1.1-million identity-theft figure, the latter the FTC's largest single Sentinel category (~1.1M / 6.5M ≈ 17% of all reports). Not used in this entry's headline lifetime-probability arithmetic, which relies on the ITRC breach-notice figures above; included only to ground the specific FTC identity-theft-complaint figure used in the body prose to distinguish "exposure" from "harm."
    Independence
    FTC Consumer Sentinel Network is a distinct federal consumer-complaint intake pipeline, independent of the ITRC's breach-notice tracking and Verizon's incident-investigation dataset used elsewhere in this entry.

434 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 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 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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