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Crime · reviewed 2026-05-16

What are the odds of being drugged without consent in a social setting?

Evidence quality 4.13/5

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

D1 Source grounding
4/5
D2 Source authority
4/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
5/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 17

6.0% lifetime chance

Most people overestimate this.

range 1 in 50 to 1 in 10

lifetime, US adult each band = 10× rarer → See full scale →
certain 1 in 1K 1 in 1M 1 in 1B

≈ As likely as

A half-full glass on a bar counter with a single drop falling in, flat vector editorial illustration, muted palette.

Perceived

Drink spiking occupies a disproportionately large space in risk perception relative to its confirmed prevalence. Media coverage, campus safety campaigns, and social media have elevated the image of a stranger slipping a drug into an unattended drink to near-iconic status as a sexual assault mechanism. Surveys of college students find that awareness of drink spiking is near-universal and fear of being drugged is common, even among students who have never personally experienced or witnessed it. The perception is not baseless — drink spiking does occur — but the specific mechanism (covert administration of GHB, Rohypnol, or ketamine) is substantially rarer than the broader category of drug-facilitated sexual assault, where voluntary alcohol consumption by the victim is the dominant intoxicant in the vast majority of forensically confirmed cases.

Rough estimate: ~10-25% lifetime chance (social perception)

Source: editorial intuition, not polled

Actual

~7.8% of college students self-report suspected drugging; ~2-4% of sexual assault tox screens detect classic spiking drugs

US college students aged 18-24, multi-campus survey studies

Show derivation

The best available prevalence data come from college student surveys, which are not nationally representative of all US adults. Swan et al. (2016) found 7.8% of 6,064 students at three universities reported suspected drugging. Other studies report 6-9% among college-aged women. However, college students have substantially higher social drinking exposure than the general population, and many self-reported drugging events may reflect unexpectedly strong alcohol effects rather than actual spiking — the researchers explicitly note they cannot verify actual drugging. Forensic toxicology studies of confirmed drug-facilitated sexual assault cases find classic spiking agents (GHB, Rohypnol, ketamine) in only 2-4% of samples; alcohol alone accounts for the vast majority. Estimating a lifetime figure: if the college-period risk is ~7.8% over 4 years of elevated exposure, and non-college-period risk is much lower, a rough lifetime estimate of ~6% accounts for both the peak-exposure college years and lower- exposure adult years. This is highly uncertain and likely an overestimate of actual covert drugging (vs. self-attribution of excessive intoxication). Uncertainty band: low end uses forensic confirmation rates extrapolated to general population (~2%); high end uses self-reported suspected rates (~10%).

Caveats: This entry addresses a specific mechanism — covert administration of drugs into …

This entry addresses a specific mechanism — covert administration of drugs into someone's drink — rather than the broader category of drug-facilitated sexual assault, where voluntary alcohol consumption by the victim is the dominant intoxicant. The "overrated" framing applies to the specific spiking mechanism, not to drug-facilitated sexual assault as a whole, which is both common and serious. Self-reported suspicion of being drugged (6-9% of college students) likely overstates actual covert spiking because the symptoms attributed to spiking — unexpected intoxication, memory gaps, loss of motor control — are also produced by drinking more alcohol than intended, combining alcohol with medications, or drinking on an empty stomach. GHB is detectable in urine for only 6-12 hours after ingestion, so some genuine spiking cases may be missed by toxicology screens conducted after that window. The college-student data are not generalizable to all US adults; social-drinking patterns differ substantially by age, and the majority of reported spiking occurs in the 18-24 age bracket. This entry should not be read as minimizing the reality of drink spiking, which is a serious crime when it occurs, but as calibrating the frequency of the specific mechanism relative to public perception.

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Compare to:

The gap between perceived and confirmed drink spiking is one of the wider perception- reality mismatches in the crime-risk literature. A 2016 survey of 6,064 students across three US universities found that 7.8% reported suspected drugging incidents — a figure broadly consistent with other college-population studies reporting 6-9%. But forensic toxicology tells a different story: when urine samples from suspected drug-facilitated sexual assault cases are actually tested, classic “spiking” agents — GHB, Rohypnol (flunitrazepam), ketamine — appear in only 1-4% of samples. The dominant intoxicant in drug-facilitated sexual assault, by a wide margin, is alcohol, either consumed voluntarily by the victim or administered in quantities exceeding what the victim intended. A 2024 review in Forensic Science International found that cannabinoids (40%), cocaine (32%), and amphetamines (14%) were all more commonly detected than GHB (1.1%) in DFSA toxicology screens.

This does not mean drink spiking is a myth. A 2025 study in the Journal of Drug Issues directly examined the gap and concluded that “perceived prevalence and probability of spiking substantially exceed the rates established by forensic and toxicological evidence.” The discrepancy has multiple sources. GHB is metabolized rapidly and becomes undetectable in urine within 6-12 hours, so delayed testing misses genuine cases. Many victims do not seek medical attention or toxicological screening at all. And the symptoms that victims attribute to spiking — sudden unexpected intoxication, memory blackouts, loss of motor control — are also produced by drinking more than intended, combining alcohol with common medications (antihistamines, SSRIs), or drinking on an empty stomach. The researchers who conducted the three-campus survey explicitly noted: “We have no way of knowing if the drugging victims were actually drugged or not, and many of the victims were not certain either.”

The 1 in 17 lifetime estimate used here represents self-reported suspected drugging extrapolated from the college-age peak to a full adult lifespan, and is almost certainly an overestimate of actual covert drug administration. The forensically grounded figure would be closer to 1 in 50 — still not negligible, but substantially below the social perception. The practical implication is not that drink-watching precautions are unwarranted (they are reasonable and low-cost) but that the specific spiking narrative may be drawing attention and fear away from the statistically dominant risk in drug-facilitated sexual assault: voluntary alcohol consumption in social settings where a predatory actor is present. The drink-spiking archetype places the threat in the glass; the epidemiology places it in the social dynamics around the glass.

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] American Psychological Association (APA) — More than a myth: Drink spiking happens
    More than a myth: Drink spiking happens
    Statistic
    7.8% of 6,064 college students reported suspected drugging incidents
    Excerpt
    “"A survey of 6,064 students at three U.S. universities found that 462 students (7.8 percent) reported 539 incidents in which they said they had been drugged." ”
    Source data from
    2016-05-26
    Accessed
    2026-04-24 · archived copy
    Calculation
    Primary self-reported prevalence from Swan et al. (2016), published in Psychology of Violence. 7.8% of students reported suspected drugging. Used as the anchor for the college-period risk estimate. The researchers note: "We have no way of knowing if the drugging victims were actually drugged or not, and many of the victims were not certain either."
  2. [2] Forensic Science International: Synergy (Elsevier) — The prevalence of selected licit and illicit drugs in drug facilitated sexual assaults
    The prevalence of selected licit and illicit drugs in drug facilitated sexual assaults
    Statistic
    GHB detected in ~1-4% of DFSA toxicology screens; alcohol is the dominant substance
    Excerpt
    “"Unexpected drugs found on toxicological screening included cannabinoids (40.2%), cocaine (32.2%), amphetamines (13.8%), MDMA (9.2%), ketamine (2.3%), and GHB (1.1%). A 26-month study of 1,179 urine samples from suspected drug-facilitated sexual assaults found 4% positive for GHB." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-24
    Calculation
    Forensic toxicology data showing that classic "date rape drugs" (GHB, Rohypnol, ketamine) are detected in a small minority of drug-facilitated sexual assault cases. GHB: 1.1-4% depending on study. Rohypnol: <2%. The dominant substances are alcohol and recreational drugs the victim may have consumed voluntarily. This anchors the low end of the uncertainty band — actual covert spiking with specific agents is considerably rarer than self-reported suspicion of being drugged.
  3. [3] Journal of Drug Issues (SAGE) — Spiking Versus Speculation? Perceived Prevalence, Probability, and Fear of Drink and Needle Spiking
    Spiking Versus Speculation? Perceived Prevalence, Probability, and Fear of Drink and Needle Spiking
    Statistic
    Self-reported spiking prevalence substantially exceeds forensically confirmed rates
    Excerpt
    “"Our findings show that perceived prevalence and probability of spiking substantially exceed the rates established by forensic and toxicological evidence, suggesting that fear of spiking may be disproportionate to actual risk of covert drug administration." ”
    Source data from
    2025-01-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Peer-reviewed analysis directly addressing the perception-reality gap. Confirms that self-reported suspected spiking rates (6-9%) are much higher than forensic confirmation rates (1-4% for specific spiking agents). Supports the "overrated" myth_framing for the specific mechanism of covert drug administration, while noting that drug-facilitated sexual assault via alcohol remains a serious and prevalent crime.

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