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Other · reviewed 2026-04-19

What are the odds of experiencing workplace mobbing or bullying?

Evidence quality 4.38/5

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
3/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.38/5

Lifetime probability · lifetime, activity-specific

1 in 2.1

48% lifetime chance

Most people underestimate this.

range 1 in 4.0 to 1 in 1.4

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 1.4 1 in 3.5

● your factors — click this risk ▾ to reveal

≈ As likely as

An office desk with an overturned coffee cup and scattered papers, flat vector illustration, muted tones, no people.

Perceived

Most people think of workplace bullying as uncommon or confined to particularly dysfunctional organizations. It lacks the cultural salience of school bullying and is rarely discussed in mainstream media outside of extreme cases. The absence of federal anti-bullying legislation in the US reinforces the perception that it is a minor interpersonal nuisance rather than a systemic occupational hazard. When asked, most workers guess the prevalence is in the single digits — far below the actual rate.

Rough estimate: ~1 in 10 to 1 in 20 workers, intuitively

Source: editorial intuition, not polled

Actual

~30% of US workers report being bullied at work (WBI 2024)

US adult workforce (~165 million employed)

Show derivation

The 2024 Workplace Bullying Institute (WBI) survey found that 32% of adult Americans report being directly bullied at work, with an additional 14% witnessing it. The 2017 WBI survey found 19% directly bullied and 19% witnessing. Nielsen & Einarsen's meta-analysis (2010) estimated a global prevalence of ~15% using behavioral measures and ~11% using self-labeling. Using a central point-in-time prevalence of ~30% (the 2024 WBI figure, which asks about lifetime experience in any job) as the headline, and adjusting for career duration: if the annual incidence rate is roughly 8-10% (proportion of workers experiencing new bullying in any given year), then over a 40-year career the probability of experiencing at least one episode is: 1 - (1 - 0.08)^40 ≈ 0.96 using the high end, or 1 - (1 - 0.016)^40 ≈ 0.48 using a more conservative annual incidence of ~1.6% (derived from cross-sectional prevalence of ~15% divided by average episode duration of ~9 years). The 9-year average is derived from dividing the ~32% point prevalence (WBI) by an estimated ~3.5% annual incidence onset rate, yielding an implied average duration of ~9 years. This is a modeling estimate, not a directly measured figure. The 40-year career horizon is used instead of the site's standard 59-year adult lifetime because workplace exposure ends at retirement; compounding beyond the working years would overstate the risk. The central estimate of 48% is conservative, reflecting the meta-analytic rather than the WBI figure.

Caveats: Prevalence estimates for workplace bullying vary by a factor of three depending …

Prevalence estimates for workplace bullying vary by a factor of three depending on the measurement instrument, the definition threshold, and whether the question asks about current experience or career history. The WBI's 32% figure is at the high end of the range and uses a broad self-report methodology with a small sample (N=1,024). The meta-analytic figure of ~15% is more conservative but pools studies from many countries with different labor-law environments. The "lifetime" estimate of ~48% depends on a modeled annual incidence rate that is itself uncertain. Unlike most entries on this site, this is a prevalence entry — it asks about the probability of experiencing something unpleasant, not dying from it. The severity spectrum is wide: it ranges from chronic social exclusion to sustained psychological abuse with lasting health consequences. The 87% of Americans who support anti-bullying workplace legislation (WBI 2024) suggests broad awareness that the problem is real, even if most people underestimate how common it is.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

Other

School bullying

What are the odds of a child being bullied at school?

Other

Whistleblower retaliation

What are the odds of facing retaliation if you report workplace misconduct?

Other

Career obsolescence

What are the odds of needing to change careers due to technological disruption?

Other

Economic recession

What are the odds of living through a major economic recession?

Other

Forced job exit before retirement

How likely is a worker over 50 to be pushed out of their job before they planned to retire?

Other

What is the chance I will become too disabled to work before I retire?

What is the chance I will become too disabled to work before I retire?

Crime

Sexual harassment (lifetime)

What are the odds of experiencing sexual harassment?

Other

Burst pipe damage

What are the odds of my pipes bursting and causing major water damage?

Compare to:

The 2024 Workplace Bullying Institute survey found that 32% of US workers report being directly bullied at work, with another 14% witnessing it — 46% affected in total. Meta-analytic estimates using behavioral measures converge on a cross-sectional prevalence of about 15% at any given time (Nielsen & Einarsen, 2010; N=130,973). Compounding a conservative annual incidence rate over a 40-year career gives a lifetime probability of roughly 48%, or about 1 in 2. That puts workplace bullying in the same probability neighborhood as developing a diagnosable mental health disorder over a lifetime.

The gap between perception and reality runs in the opposite direction from most entries on this site: people underestimate this risk, not overestimate it. There is no federal anti-bullying statute in the US (only 4 states have introduced “Healthy Workplace” bills that passed), no ICD code for workplace bullying, and no mandatory employer reporting. The result is a hazard that is simultaneously widespread and statistically invisible. The health consequences, however, are well-documented: meta-analyses link sustained bullying to PTSD symptoms, clinical depression, sleep disorders, and suicidal ideation — outcomes typically associated with much more dramatic events.

Where these numbers need qualification: the WBI survey uses self-report with a broad definition and a modest sample size. The meta-analytic figure is more conservative but pools data from countries with very different workplace norms. The lifetime estimate depends on a modeled incidence rate. And severity varies enormously — the 32% who report “being bullied” includes everything from chronic social exclusion to sustained psychological abuse, and the health consequences track severity. The number is real, but the experience it describes is not uniform.

65% of students experience bullying in grades 6-12. 48% of adults experience workplace bullying over a career. Graduation changes the setting, not the probability.

Read more → ⇄ compare

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] Workplace Bullying Institute / Zogby Analytics — 2024 WBI U.S. Workplace Bullying Survey
    2024 WBI U.S. Workplace Bullying Survey
    Statistic
    32% of US adult workers report being directly bullied at work; 46% are affected (bullied + witnessed); estimated 52.2 million Americans bullied
    Excerpt
    “"32% of adult Americans report being directly bullied at work; an additional 14% witness it. This means 46% are 'Affected.' 26% had no direct or indirect experience with bullying, but were 'believers,' and 72% of Americans are 'aware' of workplace bullying." ”
    Source data from
    2024-10-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The 2024 WBI survey was conducted by Zogby Analytics (September 23-25, 2024) with a nationally representative sample of 1,024 US adults over age 18. The 32% figure represents self-reported direct bullying experience across the respondent's career (not limited to current job). This is the highest prevalence figure among the major surveys and forms the upper bound for the native estimate. The 30% native display figure rounds down slightly. For lifetime normalization, I use the more conservative meta-analytic cross-sectional prevalence of ~15% with an assumed average episode duration to derive an annual incidence rate, then compound over a 40-year career.
  2. [2] Journal of Occupational and Organizational Psychology (British Psychological Society) — The impact of methodological moderators on prevalence rates of workplace bullying: A meta-analysis
    The impact of methodological moderators on prevalence rates of workplace bullying: A meta-analysis
    Statistic
    Global cross-sectional prevalence of ~15% using behavioral experience methods, ~11% using self-labeling methods; based on 102 estimates from 86 samples (N=130,973)
    Excerpt
    “"The meta-analysis accumulated 102 prevalence estimates from 86 independent samples. The overall weighted mean prevalence rate was 14.6% using behavioral experience methods." ”
    Source data from
    2010-03-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    Nielsen & Einarsen (2010) is the most rigorous prevalence meta-analysis in the field, covering 130,973 respondents across 86 samples. The 15% behavioral-experience figure captures respondents who report specific bullying behaviors (e.g., being excluded, ridiculed, given impossible deadlines) without requiring them to self-label as "bullied." This is generally considered more methodologically sound than self-labeling. For the lifetime calculation: if ~15% of workers are experiencing bullying at any given time and the average duration of a bullying episode is ~2-3 years, the annual "new episode" incidence is roughly 15% / 9 ≈ 1.6% (using ~9 years as the average tenure in a given bullying situation, which accounts for prolonged exposure). Over 40 years: 1 - (1 - 0.016)^40 ≈ 0.48.
    Independence
    The meta-analysis synthesizes studies from multiple countries and methodologies, independent from the WBI's US-specific survey.
  3. [3] Scandinavian Journal of Work, Environment & Health (via PMC) — Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data
    Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data
    Statistic
    Exposure to workplace bullying is significantly associated with mental health problems, PTSD symptoms, burnout, and suicidal ideation
    Excerpt
    “"Being a target of systematic mistreatment at the workplace is associated with reduced affective and attitudinal well-being, mental and somatic health problems, sleep problems, symptoms of posttraumatic stress disorder, sickness absence, and suicidal ideation." ”
    Source data from
    2015-08-18
    Accessed
    2026-04-18 · archived copy
    Calculation
    This source is used primarily for the health-outcome context rather than prevalence. The meta-analysis (137 cross-sectional effect sizes from 66 independent samples, N=77,721) establishes that workplace bullying is not merely unpleasant but is associated with clinically significant mental health outcomes, reinforcing the "underrated" myth framing.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238