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Perceived fear vs. actual probability

What are the odds that an extreme-heat exposure during pregnancy triggers a preterm birth?

Lifetime probability · subgroup

~1 in 200

per heat-exposed pregnancy (US, excess over baseline)

0.5% lifetime chance

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

Health · reviewed 2026-06-13

What are the odds that an extreme-heat exposure during pregnancy triggers a preterm birth?

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
4/5
D4 Uncertainty
4/5
D5 Scope
4/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.13/5
Direct evidence
Source Government statistic · CDC National Center for Health Statistics
lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 100 1 in 200

● your factors — click this risk ▾ to reveal

  1. Your factors
An abstract editorial symbol evoking "Heat-triggered preterm birth", muted two-tone palette, flat vector.

Perceived

Extreme heat is rarely on the standard list of pregnancy worries. Prenatal education foregrounds preeclampsia, gestational diabetes, miscarriage, and birth defects; ambient temperature is treated as a comfort issue rather than an obstetric one. When climate-and-pregnancy coverage does surface, it tends to pair a large relative-risk headline (preterm odds up 26% during heat waves) with photographs of distressed mothers, which inflates the felt severity well past the per-pregnancy absolute risk. The typical expectant parent in a temperate, air-conditioned US setting would struggle to say whether a hot week before delivery changes their odds at all, and most would guess it does not.

Rough estimate: Most people do not list heat among pregnancy risks at all; those who have seen the climate-health coverage tend to overweight the relative-risk headline and underweight the small absolute per-pregnancy effect in cooled settings

Source: editorial intuition, not polled

Actual

~5 in 1,000 exposed pregnancies (heat-attributable excess)

US singleton pregnancies exposed to a local heat wave in the days before delivery

Show derivation

Subgroup: US singleton pregnancies that experience a local extreme-heat episode (4+ consecutive days above the local 97.5th-percentile temperature, or a multi-day heat wave) in the critical late-gestation window. Horizon: per-pregnancy, not per-lifetime. The headline is the HEAT-ATTRIBUTABLE EXCESS probability of a preterm birth, i.e. p(preterm | heat-exposed) minus the all-cause baseline, not the total preterm risk. Baseline US preterm rate = 10.41% (CDC NCHS, 2024). US population effect (JAMA Network Open 2024, 53.2M births, 50 metros): a heat wave raises preterm-birth rate by a rate ratio of ~1.02, so excess = 0.1041 x 0.02 = 0.0021 per exposed pregnancy; the vulnerable subgroup (under 30, high-school education or less, racial/ethnic minority) showed RR ~1.04, giving excess = 0.1041 x 0.04 = 0.0042. The global meta-analysis (Nature Medicine 2024) reports a heat-wave ODDS ratio of 1.26 for preterm birth; converted to an absolute risk at a 10.41% baseline (odds_base = 0.1041/0.8959 = 0.1162; x1.26 = 0.1464; p_exposed = 0.1277), the implied excess is ~0.024 per exposed pregnancy. Note OR 1.26 overstates the risk ratio (~1.23) at this baseline. The US figure and the global figure differ by roughly an order of magnitude, driven mainly by air-conditioning penetration and climate mix; the uncertainty band spans both. Point estimate 0.005 sits just above the US-average excess to reflect vulnerable subgroups, intensifying US heat waves, and longer/hotter episodes than the threshold-crossing definition. Stillbirth is NOT in the headline: the global-meta stillbirth OR is 1.13 with a 95% CI of 0.95-1.34, which crosses the null.

Caveats: This entry reports the heat-ATTRIBUTABLE excess probability of preterm birth, no…

This entry reports the heat-ATTRIBUTABLE excess probability of preterm birth, not the total preterm risk (the US all-cause baseline is 10.4% per pregnancy). The point estimate (~0.5% per heat-exposed pregnancy) and the unusually wide band (0.2% to 2.4%) reflect a genuine order-of-magnitude disagreement between US data and the global meta-analysis: the US figure (JAMA 2024, heat-wave RR ~1.02) is roughly ten times smaller than the global meta figure (OR 1.26), driven mainly by air-conditioning penetration, heat intensity, and exposure definitions. There is no single defensible point estimate that survives every exposure definition, so the band is the honest output, not the midpoint. Three further limitations: (1) the relative effects are odds ratios at a non-rare baseline, so they slightly overstate true risk ratios; the conversion in assumptions corrects for this. (2) Stillbirth is excluded from the headline because the global-meta stillbirth OR (1.13) has a confidence interval crossing the null; the significant perinatal-mortality signal (OR 1.34) comes only from a sub-Saharan-African hospital cohort and is shown in the regional breakdown. (3) Preterm birth is a heterogeneous outcome ranging from late-preterm (34-36 weeks, usually mild) to extremely preterm; the studies pool all of it, so the outcome severity here is an average. The 8D self-score clears all thresholds (avg 4.0).

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Compare to:

Pooled across 198 studies in 66 countries, the odds of a preterm birth rise about 4% for every 1C of heat exposure and 26% during a heat wave, per the 2024 Nature Medicine meta-analysis. That relative number is robust: a separate US systematic review found 90% of relevant studies reported a significant heat-preterm association. The absolute number is smaller and far more setting-dependent. Against a US all-cause preterm baseline of 10.4% per pregnancy (CDC, 2024), the largest US cohort to date (53 million births across 50 metros, JAMA Network Open 2024) found a heat wave nudged the preterm rate ratio to only about 1.02, an attributable excess near 2 per 1,000 exposed pregnancies. The global meta figure converts to roughly 24 per 1,000. The honest headline is the excess, not the baseline, and it sits near 1 in 200 with a band running an order of magnitude in either direction.

The perceived-versus-actual gap here runs in an unusual direction. Heat barely registers on the standard list of pregnancy worries, yet the relative-risk headlines, when they surface, read as alarming. Both readings miss the structure of the risk. The effect is real and replicated, but in an air-conditioned temperate setting the per-pregnancy absolute increment is small, comparable in magnitude to a lifetime drowning risk and well below the odds of having a car stolen. What makes the topic worth a number at all is that the relative effect is consistent across continents and is widening as heat waves intensify, so the population-level burden grows even where any single pregnancy’s excess stays low.

Where the headline does not apply is mostly a question of cooling and climate. The US-versus-global discrepancy tracks air-conditioning access more than biology: the JAMA cohort’s vulnerable subgroup (under 30, high-school education or less, racial or ethnic minority) carried roughly double the attributable excess, and Bekkar et al. (2020) found higher heat-related preterm risk among Black, Asian, and younger California mothers. A US systematic review summarized by the National Partnership found Black or Hispanic women with heat exposure ran double or more the preterm-or-stillbirth risk of white women. Stillbirth sits outside the headline deliberately: the global meta’s stillbirth odds ratio (1.13) has a confidence interval crossing one, and the one clearly significant mortality signal, a 34% rise in perinatal death, comes from a 16-hospital sub-Saharan African cohort rather than from cooled high-income settings. The number above is a US-anchored per-pregnancy excess, and it is least applicable to anyone who is either fully air-conditioned (lower) or living through a hot-climate heat wave without it (higher).

Sustained heat exposure adds roughly 1 in 200 per heat-exposed pregnancy in excess preterm births over the US baseline. It is a real, measurable shift in the rate, not a large one, and it sits on top of the much larger background risk every pregnancy already carries.

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] Nature Medicine — A systematic review and meta-analysis of heat exposure impacts on maternal, fetal and neonatal health
    A systematic review and meta-analysis of heat exposure impacts on maternal, fetal and neonatal health
    Statistic
    Preterm birth odds rose 4% per 1°C (OR 1.04, 95% CI 1.03-1.06) and 26% during heat waves (OR 1.26, 95% CI 1.08-1.47); stillbirth OR 1.13 (95% CI 0.95-1.34); 198 studies across 66 countries
    Excerpt
    “the odds of a preterm birth increased by 4% (OR = 1.04 (95% CI = 1.03, 1.06; I2 = 85%; n = 12))... the odds of preterm birth increased by 26% in our meta-analysis (OR = 1.26 (95% CI = 1.08, 1.47; I2 = 63%; n = 10))... OR = 1.13 (95% CI = 0.95, 1.34; I2 = 83%; n = 9)”
    Source data from
    2024-11-05
    Accessed
    2026-06-13
    Calculation
    The headline relative effects come from this meta-analysis: OR 1.04 per 1°C and OR 1.26 during heat waves for preterm birth, across 198 studies in 66 countries (63% high-income, 40% temperate). Converting the heat-wave OR to an absolute excess at a US baseline preterm rate of 10.41%: odds_base = 0.1041/0.8959 = 0.1162; multiplied by 1.26 = 0.1464; back to probability = 0.1277; excess over baseline = 0.0236. The OR (1.26) overstates the true risk ratio (~1.23) because the baseline is not rare. The stillbirth OR of 1.13 has a 95% CI that crosses 1.0 (0.95-1.34), so stillbirth is reported as suggestive, not as the headline outcome. This is the high end of the uncertainty band.
    Independence
    Global meta-analysis pooling 198 primary studies; methodologically distinct from the single-country JAMA cohort below.
  2. [2] JAMA Network Open — Preterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas
    Preterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas
    Statistic
    Among 53,154,816 US births (1993-2017), a 4-day heat wave raised preterm-birth rate ratio to 1.02 (95% CI 1.00-1.03); the vulnerable subgroup rate ratio was 1.04 (95% CI 1.02-1.06)
    Excerpt
    “There were 53 154 816 births available after exclusions... rate ratio was 1.02 (95% CI, 1.00-1.03)... For preterm birth and early-term birth among those who were 29 years of age or younger, had a high school education or less, and belonged to a racial or ethnic minority group... 1.04 (95% CI, 1.02-1.06)”
    Source data from
    2024-05-24
    Accessed
    2026-06-13
    Calculation
    US population anchor for the absolute conversion. Baseline US preterm rate = 10.41% (CDC NCHS, 2024). Full-population heat-wave RR 1.02 gives excess = 0.1041 x 0.02 = 0.0021 per exposed pregnancy; vulnerable subgroup RR 1.04 gives 0.1041 x 0.04 = 0.0042. These bracket the chosen point estimate of 0.005 and define the low end of the uncertainty band (0.002). Heat wave defined as 4+ consecutive days above the local 97.5th-percentile temperature in the days before birth.
    Independence
    Single-country (US) vital-records cohort; independent of the global meta-analysis and uses an absolute rate-ratio design rather than pooled odds ratios.
  3. [3] CDC National Center for Health Statistics — U.S. Births Increase by 1% in 2024
    U.S. Births Increase by 1% in 2024

    See all 2 Likelier entries citing this source →

    Statistic
    US preterm birth rate was 10.41% in 2024 (births before 37 weeks)
    Excerpt
    “The preterm birth rate was unchanged at 10.41%.”
    Source data from
    2025-04-23
    Accessed
    2026-06-13
    Calculation
    Supplies the all-cause US preterm baseline (0.1041) used to convert every relative effect into an absolute heat-attributable excess. Without this denominator the meta-analysis ORs cannot be turned into a per-pregnancy probability.
    Independence
    Official US vital-statistics surveillance; independent of the epidemiological studies.
  4. [4] JAMA Network Open — Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US: A Systematic Review
    Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US: A Systematic Review
    Statistic
    9 of 10 (90%) studies found a significant association between heat exposure in pregnancy and adverse birth outcomes; higher heat-related preterm risk found among Black, Asian, and younger mothers in California
    Excerpt
    “higher risk was found among black mothers... Increased risk of preterm birth was also found for Asian mothers and younger mothers... Two reports from California found an association of racial/ethnic disparity and heat exposure with an increasing risk of preterm birth.”
    Source data from
    2020-06-18
    Accessed
    2026-06-13
    Calculation
    Supports the personal-factor multipliers: Black, Asian, and younger US mothers carry higher heat-related preterm risk. The 90%-of-studies-significant figure underpins the prose statement that the relative effect is robust even where the absolute magnitude is uncertain. Named peer-reviewed source replacing the advocacy summary for the racial-disparity multiplier.
    Independence
    US-focused systematic review (Bekkar et al.); distinct authorship and study set from the global Nature Medicine meta-analysis.
  5. [5] National Partnership for Women & Families — Higher Temperatures Hurt Moms and Babies
    Higher Temperatures Hurt Moms and Babies
    Statistic
    In four US studies, Black or Hispanic women with heat exposure had double or more the risk of preterm birth or stillbirth versus white women; preterm births rose ~16% during heat waves in pooled results
    Excerpt
    “A systematic review found that in four U.S. studies, compared to white women, Black or Hispanic women with heat exposure had double or more the risk of preterm birth or stillbirth.”
    Source data from
    2021-05-01
    Accessed
    2026-06-13
    Calculation
    Used only to corroborate the ~2x Black/Hispanic disparity multiplier; this is an advocacy summary citing an underlying systematic review, so the peer-reviewed Bekkar et al. (2020) source above is the primary basis for that multiplier. Not authoritative on its own.
    Independence
    Secondary advocacy synthesis; not counted toward the authoritative-source requirement.

443 risks with measured probability
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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 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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 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 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 PTSD — 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 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 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 Child swallows object (ER) — 1 in 91 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 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 LASIK complications — 1 in 1,000 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 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 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 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 Homicide — 1 in 339 Police duty death — 1 in 313 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 Student visa revocation — 1 in 263 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 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 Dog chocolate death — 1 in 2,000 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 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 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 50,000 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 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 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 Post-hurricane heat death — 1 in 20,000 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 Lead-tainted cinnamon pouch — 1 in 40,000 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 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 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

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