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Food · reviewed 2026-04-16

What are the odds of getting food poisoning from eating food left out of the fridge?

Evidence quality 4.38/5

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

D1 Source grounding
5/5
D2 Source authority
5/5
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 4.38/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1.2

82% lifetime chance

Most people underestimate this.

range 1 in 1.7 to 1 in 1.1

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 1.0 1 in 24

● your factors — click this risk ▾ to reveal

≈ As likely as

A single covered pot viewed from above on a pale grey background, flat vector illustration.

Perceived

Most people treat "left out for a few hours" as a dial they can read by smell and appearance. If the chicken looks fine and the rice doesn't taste odd, it gets eaten. The gap between that heuristic and the actual microbiology is large in both directions: the casual per-meal risk is lower than a cautious reader might guess, but the lifetime probability of eventually eating a temperature-abused meal and paying for it is far higher than almost anyone assumes. No cross-national survey isolates this fear cleanly, so the perceived side is editorial intuition rather than polled data.

Rough estimate: Most adults assume the per-event risk is either near-zero ('it's probably fine') or near-certain ('you'll get sick')

Source: editorial intuition, not polled

Actual

~1 in 35 per year (US residents, temperature-abuse-linked foodborne illness)

US residents, all ages, foodborne illness where improper holding temperature was a contributing factor

Show derivation

Starts from CDC's ~48 million domestically acquired foodborne illnesses per year (Scallan et al. 2011, restated on CDC's current food safety page). The CDC's National Outbreak Reporting System analysis for 2014-2022 finds that "allowing foods to remain out of temperature control" contributed to roughly 10-15% of outbreaks during food preparation and another 9-14% during service or display, with "improper cooling" implicated in another 9-17% depending on period. We take ~20% as a central estimate of the share of US foodborne illness where temperature abuse is a contributing factor (the categories overlap, so this is deliberately conservative). 20% × 48 million ≈ 9.6 million cases per year, or about 2.9% of the US population per year — roughly 1 in 35. Compounded over 59 years of adult life: 1 - (1 - 0.029)^59 ≈ 0.82, or about 4 in 5. The uncertainty band runs from 10% contribution (lifetime ≈ 0.58) to 30% (lifetime ≈ 0.93), which spans most defensible readings of the NORS data and the underlying Scallan illness total.

Caveats: The headline "~1 in 35 per year / 4 in 5 lifetime" is an aggregate of very heter…

The headline "~1 in 35 per year / 4 in 5 lifetime" is an aggregate of very heterogeneous scenarios. Most of the per-year incidence is mild gastrointestinal illness that self-resolves in 24-48 hours, not hospitalization or death; the fatal subset is covered in the separate food-poisoning-death entry and runs roughly 1 in 1,860 lifetime. The risk depends overwhelmingly on four variables: food type (high-protein dairy and meat vs dry/acidic), duration out of refrigeration, ambient temperature (the 2-hour rule becomes a 1-hour rule above 90°F), and host susceptibility. Reheating a leftover does not rescue food contaminated with heat-stable toxins from Staphylococcus aureus or Bacillus cereus — those toxins are formed during room-temperature incubation and survive subsequent cooking. The 4-hour breastmilk window is a documented exception driven by human-milk microbiology, not a carve-out the general FDA rule would support. The NORS contributing-factor coding is also imperfect: an outbreak can be coded with multiple factors, and "improper holding temperature" is typically reported alongside cross-contamination or food-worker issues, so the true share attributable solely to temperature abuse is genuinely uncertain within the 10-30% band used in the uncertainty calculation.

Regional breakdown

The headline figure averages across very different populations. Here’s how the probability varies by geography or context:

Region / context Lifetime probability Notes
Breastmilk, <4 hours at room temperature (≤77°F) 1 in 1,000 CDC and Academy of Breastfeeding Medicine guidance: freshly expressed milk is safe up to 4 hours at room temperature. Human milk's innate immune components (immunoglobulins, lactoferrin, live leukocytes) meaningfully suppress bacterial growth relative to other foods. Serious illness from properly handled milk within the 4-hour window is rare in the reported literature.
Dry, low-water-activity, or acidic foods (bread, dried pasta, jam, pickles) 1 in 10,000 Staphylococcus aureus, Bacillus cereus, and most foodborne pathogens require water activity above ~0.85 and pH above ~4.6 to grow. Dry goods and acidic foods sit outside both bounds and do not proliferate at room temperature.
High-protein leftover, mild abuse (3-6 hours at 65-75°F), healthy adult 1 in 50 The headline scenario. A reheated chicken/rice/dairy dish left out half an afternoon at ordinary room temperature, eaten by a healthy adult. Measured per-event rates are not cleanly reported in the literature; synthesized from the share of US outbreaks with temperature abuse as a contributing factor and typical household exposure frequency.
High-protein food left out overnight (>8 hours) or at >90°F, reheated 1 in 1.7 The 2012 staph perlo outbreak in CDC MMWR is the closest measured analogue: 62% attack rate among those who ate the dish. Bennett et al. report median attack rates of 75% (B. cereus) and 87% (S. aureus) in outbreak settings. Reheating does not help because the relevant toxins are heat-stable.
Vulnerable host (pregnant, <5, >65, immunocompromised) + any temperature-abused food 1 in 10 Listeria and invasive Salmonella proliferate in temperature-abused food and are the main killers in this subgroup. The per-event serious-illness probability rises accordingly, and the fatality conditional on illness is several-fold higher than in healthy adults.

Risks at similar odds

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

food

Undercooked food

What are the odds of getting food poisoning from undercooked meat, fish, or eggs?

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Raw meat cross-contamination

What are the odds of getting sick from not washing hands or surfaces after handling raw meat or eggs?

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Food poisoning (US)

What are the odds of dying from food poisoning?

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Vitamin D gap

What are the odds of vitamin D deficiency if you don't take supplements?

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Restaurant food poisoning

What are the odds of being hospitalized from food poisoning after eating at a restaurant?

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Food poisoning (global)

What are the odds of dying from food poisoning (worldwide)?

Compare to:

The USDA’s operational rule is that food in the “Danger Zone” between 40°F and 140°F should not sit out for more than two hours, or one hour above 90°F, because bacteria double in number every twenty minutes in that range. That rule is about the hazard; the probability that any given room-temperature meal will actually make you sick is a separate question, and the literature gives a less clean answer. Combining CDC’s ~48 million US foodborne illnesses per year with the National Outbreak Reporting System’s finding that roughly a fifth of outbreaks list temperature abuse as a contributing factor yields about 9-10 million temperature-abuse-linked illnesses per year, or roughly 1 in 35 Americans per year. Compounded over a typical adult lifetime, the probability that a US adult will experience at least one illness traceable to mishandled-temperature food comes out close to 4 in 5 — roughly the same order of magnitude as a lifetime cancer diagnosis, with almost all of the count being mild gastroenteritis rather than anything serious.

What makes this fear unusual is the bimodal gap between per-event and lifetime probabilities. Eat a high-protein leftover that sat on the counter for four hours and the per-event risk is somewhere around 1 in 50 for a healthy adult — much lower than the “you’ll definitely get sick” intuition. Eat that same kind of meal a few times a year for forty years and the lifetime odds of at least one bad episode approach certainty, which is why most adults can recall at least one memorable bout of it. The 2012 MMWR report on a military unit lunch party is the clearest measured analogue of the severe-abuse scenario: a chicken-and-rice dish sat in an unheated oven overnight, was reheated the next day, and produced a 62% attack rate among the forty attendees. Reheating did not rescue the food because staphylococcal enterotoxins are heat-stable, formed during the room-temperature incubation and untouched by the second trip through an oven. This is why the “just heat it up again” instinct fails for exactly the pathogen class most associated with leftover abuse.

The heterogeneity under the headline does most of the work. Dry and acidic foods (bread, jam, pickles, hard cheese, dried pasta) sit outside the water- activity and pH windows that the main pathogens need to grow, so the 2-hour rule functionally does not apply to them. Freshly expressed breastmilk gets a documented 4-hour carve-out from CDC and the Academy of Breastfeeding Medicine, driven by the immunoglobulins, lactoferrin, and live leukocytes that suppress bacterial proliferation in human milk far more effectively than in any other food. High-protein leftovers left overnight are the other tail: measured outbreak attack rates in staphylococcal and Bacillus cereus intoxications run 75-87%, and for the same abuse scenario the risk of serious illness climbs by a factor of three to five for pregnant women, adults over 65, children under five, and immunocompromised patients — groups for whom Listeria, invasive Salmonella, and Toxoplasma in temperature-abused food produce serious disease at doses a healthy adult would clear asymptomatically. The “1 in 35 per year” headline is an average across all of these; the readers whose actual risk is well above it and well below it tend to be the ones for whom the averaged figure is least useful.

Food left out too long sickens 82% of people over a lifetime. Cross-contamination from raw meat gets 73%. The kitchen counter is statistically more dangerous than the cutting board.

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] US Department of Agriculture, Food Safety and Inspection Service — "Danger Zone" (40 °F - 140 °F)
    "Danger Zone" (40 °F - 140 °F)
    Statistic
    Bacteria multiply rapidly between 40°F and 140°F, doubling in as little as 20 minutes; food should not be left out more than 2 hours (1 hour above 90°F)
    Excerpt
    “"Bacteria grow most rapidly in the range of temperatures between 40 °F and 140 °F, doubling in number in as little as 20 minutes. This range of temperatures is often called the 'Danger Zone.' Never leave food out of refrigeration over 2 hours. If the temperature is above 90 °F, food should not be left out more than 1 hour." ”
    Source data from
    2024-07-12
    Accessed
    2026-04-16 · archived copy
    Calculation
    USDA FSIS defines the operational rule the rest of the entry is testing. The 2-hour / 1-hour-above-90°F guideline is the regulatory baseline against which "temperature abuse" is measured in CDC outbreak investigations. Used here as the definition of the exposure, not as a probability estimate.
    Independence
    FSIS guidance is the governing US regulatory standard; its framing of the Danger Zone is reused by FDA, CDC, and state health departments. Not independent of those downstream sources — upstream of them.
  2. [2] CDC Morbidity and Mortality Weekly Report (MMWR) Surveillance Summaries — Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014-2022
    Contributing Factors of Foodborne Illness Outbreaks — National Outbreak Reporting System, United States, 2014-2022

    See all 3 Likelier entries citing this source →

    Statistic
    Among 2,677 foodborne outbreaks 2014-2022, 'allowing foods to remain out of temperature control' during preparation contributed to 9.9-15.2% and during service/display to 8.9-13.6%; 'improper cooling' contributed to 8.8-17.3%
    Excerpt
    “"Allowing foods to remain out of temperature control during preparation contributed to 15.2% of outbreaks during 2014-2016, 12.2% during 2017-2019, and 9.9% during 2020-2022. Allowing foods to remain out of temperature control during food service or display contributed to 13.6%, 10.4%, and 8.9%, respectively, across the three periods. Improper cooling of food contributed to 9.4%, 8.8%, and 10.9%." ”
    Source data from
    2025-03-13
    Accessed
    2026-04-16 · archived copy
    Calculation
    CDC NORS is the canonical US surveillance system for outbreak contributing factors. Summing the three temperature-related factors gives an upper envelope of roughly 30-40% of outbreaks, but the categories overlap (an outbreak can be coded with multiple contributing factors), so we deflate to ~20% as the central estimate for the share of US foodborne illness where temperature abuse was meaningfully involved. Applied to Scallan's 48 million illnesses/year: 0.20 × 48e6 ≈ 9.6 million cases/year, or ~1 in 35 of the US population. Over 59 adult-remaining years: 1 - (1 - 0.029)^59 ≈ 0.82.
    Independence
    NORS draws on the same state and local public-health reporting pipeline as CDC FoodNet and the Scallan et al. estimates; treat as a methodological sibling rather than a fully independent data source.
  3. [3] US Centers for Disease Control and Prevention — About Food Safety
    About Food Safety

    See all 4 Likelier entries citing this source →

    Statistic
    CDC estimates 48 million illnesses, 128,000 hospitalizations, and 3,000 deaths per year from foodborne illness in the US
    Excerpt
    “"CDC estimates that each year 48 million people get sick from a foodborne illness, 128,000 are hospitalized, and 3,000 die." ”
    Source data from
    2024-01-01
    Accessed
    2026-04-16 · archived copy
    Calculation
    The CDC headline total provides the denominator for the normalized figure. 48 million illnesses / 330 million US residents ≈ 14.5% of Americans per year experience a foodborne illness from any cause. Multiplied by the ~20% share attributable to temperature abuse (NORS) gives the ~2.9% per year figure compounded in the normalization.
    Independence
    Restates Scallan et al. 2011; not independent of the MMWR contributing- factors analysis, which also uses CDC surveillance data.
  4. [4] Clinical Infectious Diseases / Bennett et al. (CDC) — Foodborne Disease Outbreaks Caused by Bacillus cereus, Clostridium perfringens, and Staphylococcus aureus — United States, 1998-2008
    Foodborne Disease Outbreaks Caused by Bacillus cereus, Clostridium perfringens, and Staphylococcus aureus — United States, 1998-2008
    Statistic
    1,229 US outbreaks 1998-2008 from three temperature-abuse-linked pathogens; errors in food processing and preparation reported in 93% of outbreaks; median attack rates 75% (B. cereus), 87% (S. aureus)
    Excerpt
    “"During 1998-2008, 1229 foodborne outbreaks caused by Bacillus cereus, Clostridium perfringens, and Staphylococcus aureus were reported in the United States [...] Errors in food processing and preparation were commonly reported (93%), regardless of etiology. Contamination by food workers was common only among S. aureus outbreaks (55%). Meat or poultry dishes were commonly implicated in C. perfringens (63%) and S. aureus (55%) outbreaks, and rice dishes were commonly implicated in B. cereus outbreaks (50%)." ”
    Source data from
    2013-04-16
    Accessed
    2026-04-16 · archived copy
    Calculation
    Establishes the biological mechanism behind the "left out food" scenario: the three pathogens whose disease is overwhelmingly driven by temperature abuse (they produce heat-stable toxins or form spores that survive initial cooking, then proliferate when the cooked food sits at room temperature). The 87% median attack rate for staph outbreaks is the per-exposure figure once a food has been seriously abused — not directly the headline, but the upper anchor for the "long severe abuse" row of the regional breakdown.
    Independence
    Bennett et al. is a peer-reviewed CDC analysis of Foodborne Disease Outbreak Surveillance System data over a distinct time window from the later NORS 2014-2022 summary; treat as a complementary deeper look at the pathogens most associated with temperature abuse.
  5. [5] CDC Morbidity and Mortality Weekly Report — Outbreak of Staphylococcal Food Poisoning from a Military Unit Lunch Party — United States, July 2012
    Outbreak of Staphylococcal Food Poisoning from a Military Unit Lunch Party — United States, July 2012
    Statistic
    22 of 35 interviewed attendees (62% attack rate) became ill after eating perlo held in an unheated oven for ~8 hours overnight; reheating failed to destroy heat-stable enterotoxin A
    Excerpt
    “"Of the 40 attendees, 35 (88%) were interviewed, of whom 22 (62%) met the modified case definition [...] The pot of cooked perlo then was placed in an unheated oven for approximately 8 hours overnight [...] Staphylococcal enterotoxins are resistant to heat treatment; subsequent rewarming of the perlo for approximately 1 hour the following day did not destroy the heat-stable toxin." ”
    Source data from
    2013-12-20
    Accessed
    2026-04-16 · archived copy
    Calculation
    Concrete attack rate for the "long severe abuse" subgroup: a high-protein cooked dish left at room temperature overnight, then reheated, produced a 62% illness rate among those who ate it. This is the anchor for the 0.60 probability in the regional_breakdown row for overnight abuse of a high-risk food. Reheating did not rescue the food because the staph enterotoxin is heat-stable — which is why the "just reheat it" intuition is mechanically wrong for this pathogen class.
    Independence
    A specific outbreak investigation, independent of the aggregate NORS and Bennett analyses. Provides the measured per-event attack rate those aggregate sources cannot.
  6. [6] US Centers for Disease Control and Prevention — Breast Milk Storage and Preparation
    Breast Milk Storage and Preparation
    Statistic
    CDC guidance: freshly expressed breast milk can be stored at room temperature (77°F or colder) for up to 4 hours, refrigerated for up to 4 days, frozen for 6-12 months
    Excerpt
    “"Freshly expressed or pumped milk can be stored: At room temperature (77°F or colder) for up to 4 hours. In the refrigerator for up to 4 days. In the freezer for about 6 months is best; up to 12 months is acceptable." ”
    Source data from
    2024-06-28
    Accessed
    2026-04-16 · archived copy
    Calculation
    The breastmilk carve-out is qualitatively different from the general 2-hour rule: CDC allows up to 4 hours at room temperature because human milk contains immunoglobulins, lactoferrin, and live leukocytes that suppress bacterial growth substantially better than most cooked foods. Cited here to support the breastmilk-specific row in the regional breakdown rather than the general headline.
    Independence
    CDC breastfeeding guidance is methodologically distinct from the FSIS Danger Zone framework; the 4-hour limit is derived from human-milk microbiology and Academy of Breastfeeding Medicine research rather than from the USDA general-food model.

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