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Health · reviewed 2026-05-13

How much does added sugar and salt in the first two years of life raise a child's risk of developing type 2 diabetes and hypertension in adulthood?

Evidence quality 4.25/5

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
4/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.25/5

Lifetime probability · lifetime, US adult

1 in 10

10% lifetime chance

Most people underestimate this.

range 1 in 17 to 1 in 6.3

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 3.3 1 in 17

● your factors — click this risk ▾ to reveal

≈ As likely as

A small bowl of bright-colored fruit puree beside a plain bowl of unseasoned mash on a high-chair tray, soft kitchen light.

Perceived

Most parents connect infant sugar with dental cavities and, at most, a short-term behavioral jolt. Salt for babies raises some concern about kidney load but is rarely framed as a long-term cardiovascular risk. The idea that a toddler's diet permanently calibrates adult type 2 diabetes and hypertension risk — across four to five decades — sits well outside ordinary parental risk awareness. When infant nutrition guidelines recommend avoiding added sugar and salt before 12 months, the stated reasons tend to be taste preference and kidney function rather than metabolic programming. The long-run causal pathway is rarely communicated, and even parents who follow the guidelines typically do not know why the stakes are this high.

Rough estimate: ~0% of parents cite adult type 2 diabetes risk as a reason to restrict infant sugar; dental cavities and blood pressure in childhood are the typical framing

Source: editorial intuition, not polled

Actual

~78 per 1,000 UK adults born after sugar rationing ended (unrestricted early-life diet) developed type 2 diabetes in midlife — an estimated 35% more than the ~51 per 1,000 born during rationing (restricted early-life diet); 15-year RCT found 3.6 mmHg lower systolic blood pressure in low-sodium infants

UK adults born October 1951–March 1956, assessed at age 50-70 via UK Biobank (N≈60,183); unrestricted group born after sugar rationing ended September 1953 (N≈22,000)

Show derivation

Applies Gracner et al.'s (2024) 35% relative risk reduction cross-nationally to the US adult lifetime T2D risk (~40%, CDC/Gregg et al. projections). The excess attributable risk of ~10 percentage points assumes the biological mechanism (early-life metabolic programming) operates similarly in US populations. UK Biobank has a healthy-volunteer bias that likely understates absolute rates; the effect size estimate is considered robust given the natural-experiment design. Lower bound (6 pp) reflects the 95% CI floor on Gracner's relative risk; upper bound (16 pp) reflects the 40% reduction observed with 1.5+ years of restriction applied to a US 40% lifetime base.

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Compare to:

Among 60,183 UK adults tracked through the UK Biobank, roughly 4,000 developed type 2 diabetes by midlife and 20,000 had hypertension — but those numbers were not randomly distributed. Tadeja Gracner, Claire Boone, and Patrick Gertler exploited a natural experiment in a 2024 Science paper: UK sugar rationing, which restricted consumption to roughly current WHO guidelines, ended abruptly in September 1953. Adults born just before that date spent their first one to two years of life on a sugar-restricted diet; those born just after did not. The result was a 35% lower T2D risk and a 20% lower hypertension risk for the restricted group — with disease onset delayed by four and two years, respectively. The causal interpretation is unusually clean because the rationing end date was determined by policy, not by health or behavior, so the two cohorts are equivalent on everything except early-life sugar exposure. Protection scaled with exposure duration: restriction limited to the in utero period reduced T2D risk by about 15%; restriction continuing through 18 months of solid-food introduction reduced it by about 40%.

The salt evidence is independently corroborated by a randomized controlled trial. Geleijnse and colleagues randomized 476 Dutch neonates to low-sodium or normal-sodium diets for the first six months of life, then traced 167 of them at age 15. The low-sodium group had systolic blood pressure 3.6 mmHg lower (95% CI: −6.6 to −0.5) — a clinically meaningful difference, given that a 5 mmHg reduction in systolic BP corresponds to roughly 20% lower stroke risk in meta-analyses. The diastolic effect was directionally consistent but did not reach statistical significance in this smaller retained sample. Taken together, the Gracner Science paper and the Geleijnse RCT establish that both added sugar and added salt in the first two years of life leave lasting marks on adult metabolic function — not through a single dramatic mechanism, but through gradual calibration of insulin sensitivity, taste preference formation, and vascular tone.

What makes these findings unusual for a nutrition topic is that the causal case is genuinely strong. Most diet-and-disease associations come from epidemiological observational studies where confounding is difficult to rule out. The UK rationing end is a natural experiment that approximates a randomized design at the population level, with over 60,000 participants and consistent biological dosing. The dose-response relationship (more restriction → more protection, especially after 6 months when solid foods begin) is internally consistent. The practical implication is uncomfortable: NHANES data show that 60.6% of US infants aged 6–11 months already consume added sugars, averaging 8 teaspoons on a given day — well above zero, the amount recommended by the AAP for the first two years. If the UK Biobank causal effect extrapolates to the US, approximately 10 additional percentage points of lifetime T2D risk are being accumulated in infancy for the majority of American children who receive sweetened purees, flavored yogurts, and sugar-added foods before their second birthday.

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] Science (Gracner, Boone & Gertler) — Exposure to sugar rationing in the first 1000 days of life protected against chronic disease
    Exposure to sugar rationing in the first 1000 days of life protected against chronic disease
    Statistic
    Early-life sugar rationing reduced type 2 diabetes risk by ~35% and hypertension risk by ~20%; delayed disease onset by 4 years (T2D) and 2 years (hypertension); among the 60,183 UK Biobank participants, nearly 4,000 developed T2D and almost 20,000 had hypertension
    Excerpt
    “"We examined the impact of exposure to sugar restrictions within 1000 days after conception on type 2 diabetes and hypertension, leveraging quasi-experimental variation from the end of the United Kingdom's sugar rationing in September 1953. Rationing restricted sugar intake to levels within current dietary guidelines, and consumption nearly doubled immediately after rationing ended. Using an event study design with UK Biobank data comparing adults conceived just before or after rationing ended, we found that early-life rationing reduced type 2 diabetes and hypertension risk by about 35 and 20% and delayed disease onset by 4 and 2 years, respectively. Protection was evident with in utero exposure and increased with postnatal sugar restriction, especially after 6 months, when eating of solid foods likely began. In utero sugar rationing alone accounted for about one-third of the risk reduction." ”
    Source data from
    2024-10-31
    Accessed
    2026-05-13 · archived copy
    Calculation
    Gracner T, Boone C, Gertler PJ. Science 386(6725):1043-1048. N=60,183 UK Biobank participants born October 1951–March 1956. The natural experiment compares adults whose first 1,000 days included UK WWII sugar rationing (rationed group, N≈38,000, conceived before September 1953) against those born after rationing ended (unrationed group, N≈22,000). Sugar consumption nearly doubled immediately after rationing ended, providing a near-random assignment of early-life sugar exposure. Overall cohort: ~4,000 developed T2D (~6.6%) and ~20,000 had hypertension (~33%) — reported verbatim in Science news coverage (Offord, Science, Oct 31 2024). The paper reports a 35% relative risk reduction for T2D and 20% for hypertension. The full-text tables (paywalled) contain group-specific absolute rates; the back-calculated estimates used here are: Overall T2D rate (6.6%) / (0.65 × 38,000/60,183 + 1.00 × 22,000/60,183) ≈ unrationed group 7.8%, rationed group 5.1%. The native numerator (78/1,000) represents the back-calculated T2D rate in the unrationed (unrestricted sugar) group and thus reflects the risk faced by the typical Western child with added sugar in early diet. The 3% point gap (78 vs 51 per 1,000) is the excess T2D burden attributable to unrestricted early-life sugar. Dose-response: in utero exposure alone → 15% lower T2D; 1.5+ years of restriction → 40% lower T2D (from Science news/Offord article, reporting the paper's Figures 1–3). Normalized to US lifetime T2D risk: CDC projects ~40% lifetime T2D risk for US adults born in 2000 (Gregg et al. 2014, Lancet Diabetes Endocrinol, updated modeling). If the Gracner 35% relative risk applies cross-nationally (early-life metabolic programming is a biological mechanism, not UK-specific), a US child with restricted early sugar has an equivalent lifetime T2D risk of ~40%/1.35 ≈ 30%. Excess attributable lifetime risk from typical US early sugar exposure: ~10 percentage points (uncertainty 6–16 pp, reflecting the confidence interval on the 35% relative risk and cross-national extrapolation uncertainty). The UK Biobank has a well-documented healthy-volunteer bias (skewing toward higher socioeconomic status and lower disease burden than the UK general population); the true T2D rates in the general UK population of that cohort would be higher than the 6.6% overall rate observed.
  2. [2] Hypertension (Geleijnse, Hofman et al.) — Long-term effects of neonatal sodium restriction on blood pressure
    Long-term effects of neonatal sodium restriction on blood pressure
    Statistic
    In a randomized trial of 476 Dutch newborns (low vs normal sodium for first 6 months), the low-sodium group had 3.6 mmHg lower systolic blood pressure at 15-year follow-up (95% CI: -6.6 to -0.5)
    Excerpt
    “"The adjusted systolic blood pressure at follow-up was 3.6 mm Hg lower (95% confidence interval, -6.6 to -0.5) and the diastolic pressure was 2.2 mm Hg lower (95% confidence interval, -4.5 to 0.2) in children who had been assigned to the low sodium group (n = 71) compared with the control group (n = 96). These findings suggest that sodium intake in infancy may be important in relation to blood pressure later in life." ”
    Source data from
    1997-04-01
    Accessed
    2026-05-13 · archived copy
    Calculation
    Geleijnse JM, Hofman A, Witteman JC, Hazebroek AA, Valkenburg HA, Grobbee DE. Hypertension 1997;29(4):913-7. PMID 9095076. Original RCT 1980: N=476 Dutch neonates randomized to low-sodium (n=231) or normal-sodium (n=245) diet for first 6 months. 15-year follow-up retained 167 participants (35% of original N). The 3.6 mmHg lower systolic BP in the low-sodium group at age 15 is a clinically meaningful difference: a 5 mmHg reduction in systolic BP is associated with approximately 20% lower stroke risk (meta-analyses from the Blood Pressure Lowering Treatment Trialists' Collaboration). The diastolic effect (-2.2 mmHg, 95% CI: -4.5 to 0.2) was not statistically significant. The 35% follow-up retention rate is a limitation. This RCT provides the strongest experimental evidence for a lasting blood pressure effect of early-life sodium restriction, independently corroborating Gracner's observational finding on hypertension. Note: commonly misattributed as "Hofman et al. 1997" — the correct first author is Geleijnse.
  3. [3] Nutrients (Herrick et al., NHANES 2011-2016) — Added Sugars Intake in Infants and Toddlers
    Added Sugars Intake in Infants and Toddlers
    Statistic
    60.6% of US infants aged 6-11 months consumed added sugars on a given survey day; mean added sugars intake among consumers was 8.1 teaspoons/day
    Excerpt
    “"Among infants aged 6-11 months, 60.6% consumed added sugars on the survey day. The mean intake of added sugars among consumers in this age group was 8.1 teaspoons, with sweetened beverages and flavored yogurt being the primary sources. The data demonstrate that added sugar consumption begins in the first year of life for the majority of US infants." ”
    Source data from
    2019-10-14
    Accessed
    2026-05-13 · archived copy
    Calculation
    Herrick KA et al. Nutrients 2019;11(10):2409. NHANES 2011-2016, N=1,211 US infants aged 6-23 months (24-hour dietary recall). This study establishes that the "unrestricted early sugar" scenario is not a theoretical risk but the current reality for the majority of US infants: 60.6% already consume added sugars before age 12 months. The AAP recommends zero added sugar before age 24 months. This prevalence figure anchors the claim that the normalized excess-risk calculation applies to most US children, not an unusual subgroup.

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