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Cancer · reviewed 2026-04-19

What are the odds of getting colorectal cancer from not eating enough fiber?

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
5/5
D3 Arithmetic
3/5
D4 Uncertainty
4/5
D5 Scope
3/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.13/5

Lifetime probability · lifetime, US adult

1 in 23

4.3% lifetime chance

Most people underestimate this.

range 1 in 29 to 1 in 18

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 12 1 in 58

● your factors — click this risk ▾ to reveal

≈ As likely as

A few stalks of wheat and a scattering of grain on a pale surface, flat vector illustration.

Perceived

Dietary fiber's connection to colorectal cancer lives in a strange middle ground of public awareness. Most adults have a vague sense that fiber is "good for digestion," but few could name colorectal cancer as a specific outcome of low intake. The Burkitt hypothesis — that high-fiber African diets explained low colorectal cancer rates — dates to the 1970s and was widely discussed in the nutrition literature, but it never achieved the cultural salience of, say, the fat-heart disease link. Fiber remains underrated as a cancer-prevention factor relative to the strength of the epidemiological evidence behind it.

Rough estimate: Most adults do not consider low fiber intake a meaningful cancer risk factor

Source: editorial intuition, not polled

Actual

~10% risk reduction per 10 g/day increase in dietary fiber intake

US adults, colorectal cancer incidence

Show derivation

Uses the SEER/ACS lifetime incidence of colorectal cancer in the US: approximately 3.9% for men and women combined (~1 in 26). The WCRF/AICR Continuous Update Project and the Aune et al. 2011 dose-response meta-analysis both found a summary relative risk of 0.90 (95% CI 0.86-0.94) per 10 g/day increase in total dietary fiber. The average US adult consumes ~16 g/day of fiber versus the recommended 25-30 g/day, meaning most Americans are in the low-fiber range. Bingham et al. 2003 (EPIC, n=519,978) found that populations with low fiber intake could reduce CRC risk by ~40% by doubling their intake. The headline figure of ~4.3% uses the US lifetime CRC incidence of ~3.9% adjusted upward slightly to reflect the fact that the US population is predominantly in the low-fiber exposure category. Uncertainty reflects the range between adjusted and unadjusted models and the difficulty of isolating fiber from other dietary components.

Caveats: The headline number is US lifetime colorectal cancer incidence (~3.9-4.3%), not …

The headline number is US lifetime colorectal cancer incidence (~3.9-4.3%), not mortality. CRC 5-year survival is ~65% overall and >90% for localized disease, so the death figure is lower (~1.5-2%). The fiber-CRC association is from observational epidemiology and cannot fully exclude confounding by other dietary and lifestyle factors that correlate with high fiber intake (e.g., higher vegetable consumption, lower red meat, higher physical activity, lower BMI). No large RCT has tested whether increasing fiber intake reduces CRC incidence over a multi-decade follow-up. The WCRF's "convincing" grade reflects the consistency and biological plausibility of the association, not proof from experimental intervention.

Risks at similar odds

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

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Colorectal cancer

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Compare to:

The evidence linking dietary fiber to colorectal cancer protection is among the strongest in nutritional epidemiology — strong enough that the World Cancer Research Fund rates it “convincing,” the highest grade in their evidence hierarchy. The Bingham et al. 2003 EPIC study, covering 519,978 participants across ten European countries, found that populations with low fiber intake could reduce their CRC risk by roughly 40% by doubling their consumption. The Aune et al. 2011 dose-response meta-analysis, pooling 16 prospective cohort studies, quantified the relationship more precisely: a 10% reduction in CRC risk per 10 grams per day of additional dietary fiber, with the dose-response curve approximately linear and showing no threshold below which fiber stops helping.

The average American consumes about 16 grams of fiber per day — roughly half the recommended 25-30 grams. That gap matters because the dose-response relationship means most of the US population is sitting on the low end of the fiber-CRC curve. The WCRF estimates that roughly 12% of colorectal cancer cases in high-income countries could be prevented by adequate fiber intake alone, which would make fiber a larger preventable-fraction contributor than most individual dietary factors. Lifetime CRC incidence in the US is approximately 1 in 23 to 1 in 26 (~3.9-4.3%), making it the third most common cancer. The fiber connection is tagged here as underrated because most adults who worry about cancer focus on genetics, screening, and red meat while paying little attention to the protective side of the dietary equation.

The usual caveats apply: this is observational epidemiology, not a randomised trial of fiber supplementation over 20 years. High-fiber diets correlate with other protective behaviours (more vegetables, less processed food, lower BMI, higher physical activity), and disentangling fiber’s independent contribution is difficult. Cereal fiber and whole grains show the strongest associations, which aligns with biological mechanisms involving butyrate production, reduced transit time, and dilution of carcinogens in the colonic lumen. The practical takeaway is narrower than the headline: eating more whole grains and vegetables is associated with meaningfully lower CRC risk, but “fiber” is a dietary pattern marker as much as a single causal agent.

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] The Lancet / Bingham SA, Day NE, Luben R, et al. — Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): an observational study
    Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): an observational study
    Statistic
    In EPIC cohort (n=519,978), highest quintile of fiber intake had ~40% lower CRC risk than lowest quintile; doubling fiber intake from low levels could reduce CRC risk by 40%
    Excerpt
    “"In populations with low average intake of dietary fibre, an approximate doubling of total fibre intake from foods could reduce the risk of colorectal cancer by 40%." ”
    Source data from
    2003-05-03
    Accessed
    2026-04-18 · archived copy
    Calculation
    Bingham et al. 2003 is the landmark EPIC analysis — the largest prospective study of fiber and CRC at the time of publication, covering 519,978 participants across 10 European countries with dietary assessment by 7-day food diary (considered more accurate than FFQ). The ~40% reduction for doubling fiber intake from low levels is the headline finding. This is an observational association, not a causal estimate from an RCT, and cannot fully exclude confounding by other dietary and lifestyle factors. However, the dose-response relationship was consistent across countries with very different dietary patterns, strengthening the case for a real biological effect.
    Independence
    EPIC is methodologically independent of the US-based cohort studies (PLCO, NHS/HPFS) and the WCRF meta-analysis cited below, though the WCRF analysis includes EPIC data.
  2. [2] BMJ / Aune D, Chan DSM, Lau R, et al. — Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies
    Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies
    Statistic
    Summary RR for CRC per 10 g/day of total dietary fiber: 0.90 (95% CI 0.86-0.94) across 16 prospective studies
    Excerpt
    “"The summary relative risk of developing colorectal cancer for 10 g daily of total dietary fibre was 0.90 (95% confidence interval 0.86 to 0.94)." ”
    Source data from
    2011-11-10
    Accessed
    2026-04-18 · archived copy
    Calculation
    Aune et al. 2011 is the dose-response meta-analysis conducted for the WCRF/AICR Continuous Update Project. Pooled 16 prospective cohort studies and found a consistent 10% reduction in CRC risk per 10 g/day increase in fiber intake. The dose-response curve was approximately linear with no threshold, suggesting benefit even at modest increases. Cereal fiber and whole grains showed the strongest associations. This is the basis for the WCRF's "convincing" evidence rating for fiber and CRC prevention.
    Independence
    Meta-analysis pooling multiple independent cohort studies; includes EPIC data but also NIH-AARP, PLCO, and several European cohorts.
  3. [3] World Cancer Research Fund / American Institute for Cancer Research — Diet, Nutrition, Physical Activity and Colorectal Cancer
    Diet, Nutrition, Physical Activity and Colorectal Cancer
    Statistic
    WCRF Panel judges foods containing dietary fiber as having 'convincing' evidence for decreasing colorectal cancer risk
    Excerpt
    “"The Panel judges that consumption of foods containing dietary fibre decreases the risk of colorectal cancer." ”
    Source data from
    2024-10-01
    Accessed
    2026-04-18 · archived copy
    Calculation
    The WCRF/AICR Continuous Update Project is the most comprehensive ongoing review of diet and cancer evidence. The "convincing" grade is the highest evidence level, reserved for associations with consistent results across multiple study designs, biological plausibility, and evidence of a dose-response. For fiber and CRC, this grade has been maintained through multiple update cycles. The report estimates that roughly 12% of CRC cases in high-income countries could be prevented by adequate fiber intake alone — a population-attributable fraction that is larger than most dietary factors.
    Independence
    WCRF/AICR panel review synthesises global evidence independently; uses the Aune et al. meta-analysis as one input but evaluates biological plausibility and experimental evidence separately.

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