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Perceived fear vs. actual probability

What are the odds of serious nutrient deficiency on a meat-free diet?

Lifetime probability

~7% biochemical B12 deficiency prevalence among vegetarians (EPIC-Oxford) -- most cases subclinical, not clinically serious

7.0% lifetime chance

Most people overestimate this.

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

Food · reviewed 2026-04-19
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
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 Peer-reviewed study · European Journal of Clinical Nutrition (Gilsing et al.)
lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.8 1 in 71

● your factors — click this risk ▾ to reveal

  1. Your factors
A single vitamin B12 supplement capsule next to a small pile of spinach leaves, flat vector illustration in muted green and red tones.

Perceived

The belief that vegetarian diets inevitably lead to dangerous nutritional shortfalls persists as one of the more durable dietary myths. "Where do you get your protein?" remains the default question directed at anyone who skips meat. The underlying assumption -- that eliminating animal flesh creates a near-certain path to clinical deficiency -- is amplified by anecdotal horror stories of vegans collapsing from B12 depletion and by supplement-industry marketing that treats plant-based eating as a condition requiring pharmaceutical intervention.

Rough estimate: ~30-50% chance of developing a serious nutrient deficiency

Source: editorial intuition, not polled

Actual

~7% B12 deficiency prevalence among lacto-ovo vegetarians (EPIC-Oxford)

British male vegetarians in the EPIC-Oxford cohort

Show derivation

The EPIC-Oxford cohort found B12 deficiency (serum <118 pmol/L) in 7% of vegetarians vs 52% of vegans and <1% of omnivores (Gilsing et al. 2010). This 7% is a cross-sectional biochemical marker threshold, not a clinical diagnosis, and none of this entry's cited sources quantify what share of biochemically deficient vegetarians progress to clinically serious illness (megaloblastic anemia, neurological damage) versus remaining subclinical. Lacking a sourced conversion factor, this entry uses the EPIC-Oxford 7% prevalence directly as the estimate rather than deriving a smaller "clinically serious" figure from unverified assumptions. The Pawlak et al. (2018) review found iron deficiency anemia rates of 6-30.3% among female vegetarians (1.7-29% ferritin deficiency in males), with risk concentrated in premenopausal women; most cases are mild and responsive to dietary adjustment. In the Adventist Health Study-2 cohort, B12 supplements and fortified milk substitutes were the significant contributors of plasma B12 among vegetarians (Rizzo et al. 2018), indicating that supplementing vegetarians can maintain B12 status -- though that study measures within-group association, not the population-wide share of vegetarians who actually supplement.

Caveats: "Vegetarian" spans a spectrum from lacto-ovo diets with daily dairy to near-vega…

"Vegetarian" spans a spectrum from lacto-ovo diets with daily dairy to near-vegan regimens, and deficiency risk varies enormously across that range. The 7% estimate is EPIC-Oxford's raw biochemical B12 deficiency marker rate among vegetarians, used directly because no cited source quantifies what share of that group goes on to develop clinically serious illness -- actual serious-illness incidence for a well-planned lacto-ovo vegetarian diet with access to supplementation is plausibly lower than this figure. Strict veganism without supplementation is a categorically different risk profile. Iron deficiency is more nuanced than B12: lower ferritin stores are common in vegetarians but rarely progress to clinical anemia on a well-planned diet. The Adventist Health Study population may not generalize to all vegetarians, as Adventists have above-average health literacy and supplement use.

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Compare to:

The EPIC-Oxford cohort found biochemical B12 deficiency in 7% of vegetarians — a real but modest number, especially compared to 52% of vegans and less than 1% of omnivores. For iron, Pawlak et al. reported deficiency rates of 12-79% depending on population and diet quality, but actual clinical anemia (as opposed to low ferritin on a blood test) affected 6-30% of female vegetarians and far fewer males. No cited source quantifies what share of that 7% biochemical marker progresses to clinically serious illness, so the lifetime estimate for a well-planned lacto-ovo vegetarian diet uses the 7% EPIC-Oxford figure directly — meaningfully higher than the 4.8% lifetime colorectal cancer risk from eating processed meat daily, and roughly on par with the 7% lifetime risk of appendicitis for a US adult.

The perception gap is driven by conflating subclinical markers with clinical disease. Low serum B12 on a lab panel is not the same as megaloblastic anemia or neurological damage; low ferritin is not the same as symptomatic iron-deficiency anemia. In the Adventist Health Study-2, B12 supplements and fortified milk substitutes were the significant contributors of plasma B12 among vegetarians — supplementing vegetarians maintain their B12 status. The “you need meat to survive” framing ignores that the most common nutritional deficiency requiring supplementation — vitamin D — affects omnivores at similar or higher rates.

The risk profile splits sharply by diet type and planning. A lacto-ovo vegetarian eating eggs, dairy, and a varied diet faces minimal clinical risk. A strict vegan avoiding all supplements is in genuinely different territory: without exogenous B12, clinical deficiency becomes near-certain over years, since no plant food reliably provides it. Premenopausal women on any plant-based diet face elevated iron-deficiency risk due to menstrual losses combined with lower non-heme iron bioavailability — a subgroup where intentional dietary planning or supplementation is not optional.

A well-planned vegetarian diet carries roughly a ~4% lifetime probability of clinically serious nutrient deficiency. The "where do you get your protein" intuition pegs it nearer ~30-50%. Most shortfalls stay subclinical.

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] European Journal of Clinical Nutrition (Gilsing et al.) — Serum concentrations of vitamin B12 and folate in British male omnivores, vegetarians and vegans: results from a cross-sectional analysis of the EPIC-Oxford cohort study
    Serum concentrations of vitamin B12 and folate in British male omnivores, vegetarians and vegans: results from a cross-sectional analysis of the EPIC-Oxford cohort study
    Statistic
    B12 deficiency (<118 pmol/L): 52% of vegans, 7% of vegetarians, <1% of omnivores
    Excerpt
    “"Mean serum vitamin B12 was highest among omnivores (281 pmol/l), intermediate among vegetarians (182 pmol/l) and lowest among vegans (122 pmol/l). In all, 52% of vegans, 7% of vegetarians and one omnivore were classified as vitamin B12 deficient (defined as serum vitamin B12 <118 pmol/l)." ”
    Source data from
    2010-07-21
    Accessed
    2026-04-18 · archived copy
    Calculation
    EPIC-Oxford cross-sectional analysis of 689 men. B12 deficiency defined as serum <118 pmol/L. The 7% vegetarian deficiency rate is the native statistic. Note this is a subclinical biochemical marker, not clinical disease -- most of the 7% were asymptomatic. The gap between vegetarian (7%) and vegan (52%) underscores that lacto-ovo vegetarians obtain meaningful B12 from dairy and eggs.
  2. [2] American Journal of Lifestyle Medicine (Pawlak et al.) — Iron Status of Vegetarian Adults: A Review of Literature
    Iron Status of Vegetarian Adults: A Review of Literature
    Statistic
    Iron deficiency (low ferritin) in 12-79% of female vegetarians; anemia (low hemoglobin) in 6-30%
    Excerpt
    “"Among female vegetarians, ferritin deficiency ranged from 12% to 79%, with inadequate hemoglobin concentration ranging from 6% to 30.3%. For males, ferritin deficiency ranged from 1.7% to 29%." ”
    Source data from
    2018-01-09
    Accessed
    2026-04-18 · archived copy
    Calculation
    Pawlak et al. literature review of iron status across vegetarian populations. The wide ranges reflect different populations and study designs. The higher end (79% ferritin deficiency) represents poorly planned diets in developing countries; the lower end (12%) represents well-planned diets in Western countries. Ferritin deficiency (low iron stores) is far more common than clinical anemia (low hemoglobin causing symptoms), which is the relevant outcome for "serious deficiency."
  3. [3] Nutrients (Rizzo et al.) — Foods and Supplements Associated with Vitamin B12 Biomarkers among Vegetarian and Non-Vegetarian Participants of the Adventist Health Study-2 (AHS-2) Calibration Study
    Foods and Supplements Associated with Vitamin B12 Biomarkers among Vegetarian and Non-Vegetarian Participants of the Adventist Health Study-2 (AHS-2) Calibration Study
    Statistic
    Among Adventist vegetarians, B12 supplements and milk substitutes were the significant contributors of plasma B12, with supplements positively associated especially among vegans and lacto-ovo vegetarians
    Excerpt
    “"B12 supplements had a significantly positive association with plasma B12 among all subjects (p trend < 0.001), especially among vegans and lacto-ovo vegetarians (p trend < 0.001)... Supplements containing B12 followed by B12 intake from milk substitutes were significant contributors of plasma vitamin B12 concentration." ”
    Source data from
    2018-06-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The Adventist Health Study-2 calibration study is a within-group association study (PMC6024521 / PMID 29867046), not a vegetarian-vs-omnivore difference test. It found that B12 supplements and B12 from milk substitutes were the significant contributors of plasma B12 among vegetarians, with supplements strongly associated especially among vegans and lacto-ovo vegetarians. This supports the estimate that "well-planned" vegetarian diets -- those whose adherents use B12 supplements or fortified milk substitutes -- can maintain plasma B12, carrying much lower deficiency risk than the raw EPIC-Oxford biochemical prevalence (which includes unsupplemented vegetarians) suggests. Note: the study does not directly report that supplementation eliminates a vegetarian-vs-omnivore B12 gap; that cross-group equivalence is not measured here.

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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