Skip to content
Likelier
Kids · reviewed 2026-05-16

What are the odds that giving an infant paracetamol prophylactically at vaccination blunts the immune response to the vaccine?

Evidence quality 4.13/5

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

D1 Source grounding
3/5
D2 Source authority
5/5
D3 Arithmetic
5/5
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

Lifetime probability · lifetime, activity-specific

1 in 3.8

26% lifetime chance

Most people underestimate this.

range 1 in 20 to 1 in 1.3

lifetime, activity-specific 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 7.7

● your factors — click this risk ▾ to reveal

≈ As likely as

A small dropper bottle of infant medicine drops beside a vaccine syringe, flat vector illustration in muted tones.

Perceived

The intuition is almost universally pro-medication. Parents who pre-dose their infant with paracetamol before a vaccination appointment believe they are being thoughtful and protective — softening the expected fever and distress so the baby suffers less. The idea that this common, seemingly benign practice could reduce the very immunity the vaccine is designed to confer does not register in most parental mental models. No large-scale survey specifically asks whether parents anticipate any downside to prophylactic antipyretics around vaccination, so this is flagged as intuition — but the qualitative direction is clear: the perceived risk of prophylactic paracetamol is near-zero, and the perceived benefit is real fever prevention.

Source: editorial intuition, not polled

Actual

~26% lower anti-HBs antibody GMC (adults, hepatitis B vaccine, prophylactic vs. no paracetamol)

healthy adults aged 18–48 receiving hepatitis B vaccination series; prophylactic paracetamol group vs. control group (Prymula et al. 2014 PLoS One, n=496)

Show derivation

The normalized figure represents the magnitude of antibody blunting rather than a binary event probability. Prymula et al. (2014, PLoS One) is the most precisely quantified single source: prophylactic paracetamol (given at vaccination, not reactively) reduced anti-HBs geometric mean concentration by 26% versus no paracetamol in a 496-person adult RCT (5768 mIU/mL in controls vs. 4257 mIU/mL in the prophylactic group, p=0.048). Therapeutic paracetamol (given reactively, 6+ hours after vaccination) had no significant effect (p=0.34), establishing timing as the decisive variable. In the foundational infant RCT (Prymula et al. 2009, Lancet, n=459 Czech infants), prophylactic paracetamol reduced antibody GMCs for all 10 pneumococcal conjugate vaccine serotypes plus Hib, diphtheria, tetanus, and pertactin after the primary series, with persistence to the booster for several antigens. Seroprotection thresholds were maintained for most antigens in most studies; the one documented instance of seroprotection itself being significantly reduced is for serotype 6B in the Prymula 2009 infant cohort (exact % not published in the abstract). Wysocki et al. (2017, Vaccine) confirmed GMC reduction for 5 of 13 PCV13 serotypes but maintained seroprotection for all antigens. The 0.26 point estimate anchors to the Prymula 2014 HBV figure as the best single-antigen quantification; the probability of experiencing measurable GMC blunting for at least one antigen across a full infant primary series is effectively certain based on consistent RCT findings, but whether this translates to below-seroprotection titers for any individual child cannot be derived from the available abstract- level data. Uncertainty band 0.05–0.80 reflects the spread between the "some blunting is near-certain" upper edge and the "clinical vaccine failure is rare" lower edge of the evidence.

Caveats: The entry documents a real and consistent finding — prophylactic paracetamol at …

The entry documents a real and consistent finding — prophylactic paracetamol at the time of vaccination reduces antibody GMCs for multiple vaccine antigens in every RCT that has tested this — but the clinical magnitude is uncertain. Most children in the published studies still achieved accepted seroprotection thresholds; the concern is about antibody durability and potential long-term protection breadth rather than immediate vaccine failure. The critical variable is timing: therapeutic paracetamol given reactively when the child actually develops fever (6+ hours after vaccination) does not produce the same blunting effect in either the Prymula 2014 adult trial or the Wysocki 2017 infant trial. Ibuprofen has a different blunting profile from paracetamol — it spares most pneumococcal serotypes in Wysocki 2017 but reduces pertussis and tetanus responses. The UK is a notable exception: NHS guidelines recommend three doses of paracetamol after (not before) the MenB vaccine at 8 and 12 weeks because the MenB combination produces fever in over 50% of infants and the JCVI found no immunogenicity effect of post-vaccination paracetamol with that specific schedule. No published trial has demonstrated an increase in actual vaccine-preventable disease incidence in children whose parents gave prophylactic paracetamol — the evidence is at the surrogate endpoint (antibody titer) level.

Risks at similar odds

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

kids

Miscarriage

What are the odds of miscarriage after a recognized pregnancy?

kids

Postpartum depression

What are the odds of developing postpartum depression?

kids

Excessive pregnancy weight

What are the odds of gaining too much weight during pregnancy?

kids

Teen suicide attempt

What are the odds of a US teenager attempting suicide?

kids

Unvaxxed child & measles

What are the odds of an unvaccinated child getting measles?

kids

Infant fall

What are the odds of serious injury when an infant falls from furniture (sofa, bed, changing table)?

Health

Chronic painkillers

What are the odds of being harmed by taking over-the-counter painkillers regularly?

Health

Infant sugar/salt and adult disease

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?

Compare to:

The fear most parents bring to vaccination is not of the vaccine but of the aftermath: the sore thigh, the inconsolable evening, the fever that arrives around midnight. Paracetamol given prophylactically — before the needle, or at the appointment — is the intuitive hedge. What the intuition misses is that this hedge trades one discomfort against something harder to see: a measurably lower antibody response to the very vaccine just given. Prymula and colleagues’ 2009 Lancet RCT in 459 Czech infants found reduced antibody geometric mean concentrations for all ten pneumococcal conjugate vaccine serotypes plus Hib, diphtheria, tetanus, and pertactin when paracetamol was given prophylactically — with serotype 6B being the only antigen where the seroprotection rate itself (not just the titer level) dropped significantly below controls. The adult follow-up (Prymula 2014, PLoS One, n=496, hepatitis B vaccine) gave the cleanest quantified figure: a 26% lower anti-HBs GMC in the prophylactic group versus no paracetamol (4,257 vs. 5,768 mIU/mL, p=0.048). Therapeutic paracetamol — given only when fever actually appeared — produced no significant GMC difference in the same trial.

The mechanism is still being worked out, but the leading hypothesis involves suppression of inflammatory signaling pathways (MAPK/ERK, NF-κB, BLIMP-1) that are part of the normal post-injection immune cascade — fever being a feature of that cascade, not a mere side-effect. Suppressing the fever suppresses part of the response that produces the antibodies. The CDC and WHO both now advise against routine prophylactic antipyretics at vaccination specifically because of this; the AAP removed its prior recommendation for prophylactic acetaminophen from the Red Book after the Prymula findings were published. None of this applies to therapeutic use: if a child develops fever after the shot, giving paracetamol reactively is well-supported and does not appear to blunt the immune response.

Where the concern is most and least pronounced: the documented finding applies to prophylactic dosing (given at or before vaccination) with paracetamol — the temporal specificity matters. Ibuprofen has a partially different blunting profile and spares most pneumococcal serotypes in Wysocki’s 2017 replication. Most children in the published trials still cleared the accepted seroprotection thresholds — the outcome measured is antibody level, not vaccine-preventable disease incidence — so the clinical magnitude is real but not yet translatable into a clean case-fatality or disease-probability figure. The UK is a specific evidence-based exception: NHS guidance recommends paracetamol after (not before) the MenB vaccine at 8 and 12 weeks because that particular combination produces fever in more than half of infants, and the relevant immunogenicity studies found no blunting under that post-vaccination protocol.

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 (Prymula R et al.) — Effect of prophylactic paracetamol administration at time of vaccination on febrile reactions and antibody responses in children: two open-label, randomised controlled trials
    Effect of prophylactic paracetamol administration at time of vaccination on febrile reactions and antibody responses in children: two open-label, randomised controlled trials
    Statistic
    Fever ≥38°C: 42% (paracetamol) vs. 66% (control) after primary series; antibody GMCs significantly lower in the prophylactic paracetamol group for all 10 pneumococcal serotypes, protein D, anti-PRP (Hib), anti-diphtheria, anti-tetanus, and anti-pertactin after primary vaccination; seroprotection for serotype 6B significantly lower in paracetamol group
    Excerpt
    “"Although febrile reactions significantly decreased, prophylactic administration of antipyretic drugs at the time of vaccination should not be routinely recommended since antibody responses to several vaccine antigens were reduced." ”
    Source data from
    2009-10-17
    Accessed
    2026-05-03 · archived copy
    Calculation
    Prymula 2009 is the foundational RCT for this finding: 459 healthy infants randomized to prophylactic paracetamol (three doses every 6–8 hours post-vaccination) vs. no prophylactic treatment across two consecutive trials (primary series + booster). The fever reduction (42% vs. 66%) confirms the drug works for its stated purpose, making the antibody-blunting finding all the more counterintuitive. The abstract confirms significance for all 10 pneumococcal serotypes plus 4 bacterial antigens; the specific GMC percentage reductions per serotype are in the paywalled full text. Serotype 6B is the only antigen for which seroprotection itself (not just GMC) was significantly lower in the paracetamol group — the most clinically concerning finding. Used as the primary anchor for the consistent-blunting-in-infants evidence.
    Independence
    Prymula 2009 is an independent prospective RCT, distinct from the Prymula 2014 HBV adult study below (different population, different vaccine, different lead centre). Both originate from the same lead investigator; methodology is independently verifiable.
  2. [2] PLoS One (Prymula R et al.) — The effect of paracetamol administration at time of vaccination on antibody responses and vaccine reactions: a randomised, controlled trial
    The effect of paracetamol administration at time of vaccination on antibody responses and vaccine reactions: a randomised, controlled trial
    Statistic
    Anti-HBs GMC at one month post-second booster: 5768 mIU/mL (control) vs. 4257 mIU/mL (prophylactic paracetamol), a 26% reduction, p=0.048; therapeutic paracetamol: 4958 mIU/mL, not significant (p=0.34); all groups maintained seroprotection (≥10 IU/L) after full series
    Excerpt
    “"Only prophylactic paracetamol treatment, and not therapeutic treatment, during vaccination has a negative influence on the antibody concentration after hepatitis B vaccination in adults. These findings prompt to consider therapeutic instead of prophylactic treatment to ensure maximal vaccination efficacy and retain the possibility to treat pain and fever after vaccination." ”
    Source data from
    2014-06-04
    Accessed
    2026-05-03 · archived copy
    Calculation
    This RCT provides the cleanest quantified figure: 26% reduction in anti-HBs GMC when paracetamol is given prophylactically (at time of vaccination) vs. not given. The key methodological contribution is the three-arm design (prophylactic, therapeutic, control), which isolates timing as the causal variable. Therapeutic paracetamol given 6–8 hours after vaccination produced no statistically significant GMC difference (p=0.34). Since all participants in both groups maintained seroprotection, the concern is about antibody durability and future protection breadth, not immediate vaccine failure. The 26% GMC reduction at one month post-series is the most citable single number in this literature and is used as the native stat anchor.
    Independence
    Conducted in adults (18–48 years) with hepatitis B vaccine, methodologically distinct from the Prymula 2009 infant pneumococcal study. Same lead author, independent RCT with separate enrolment, randomisation, and vaccine type. Confirms the finding replicates across age groups and vaccine platforms.
  3. [3] US Centers for Disease Control and Prevention — Vaccine Administration — Chapter 6 (CDC Pink Book)
    Vaccine Administration — Chapter 6 (CDC Pink Book)
    Statistic
    CDC: prophylactic use of antipyretics at time of vaccination is not recommended; some studies suggest these medications might suppress immune response to some vaccine antigens
    Excerpt
    “"The prophylactic use of antipyretics (e.g., acetaminophen and ibuprofen) before or at the time of vaccination is not recommended. There is no evidence these will decrease the pain associated with an injection. In addition, some studies have suggested these medications might suppress the immune response to some vaccine antigens." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-03 · archived copy
    Calculation
    CDC explicitly advises against prophylactic antipyretic use at vaccination in the authoritative Pink Book, citing immune-response suppression. This guidance was updated after the Prymula findings became established. The CDC distinguishes prophylactic use (not recommended) from therapeutic use (permissible when symptoms develop). Used as the primary authoritative public-health guidance anchor confirming the clinical concern is recognised by a major national immunisation programme.
    Independence
    Independent government guidance drawing on the broader immunisation literature; not a reanalysis of the Prymula RCT data.
  4. [4] Vaccine (Wysocki J et al.) — Immune responses to pneumococcal conjugate vaccine PCV13 administered with or without prophylactic antipyretics in Poland
    Immune responses to pneumococcal conjugate vaccine PCV13 administered with or without prophylactic antipyretics in Poland
    Statistic
    Prophylactic paracetamol reduced IgG for 5 of 13 PCV13 serotypes (3, 4, 5, 6B, 23F); ibuprofen reduced antibody responses to pertussis FHA and tetanus; delayed administration (6–8 hours post-vaccination) showed no effect on vaccine responses for either drug; seroprotection maintained (≥0.35 µg/mL) across all groups
    Excerpt
    “"Prophylactic antipyretics affect immune responses to vaccines; these effects vary depending on the vaccine, antipyretic agent, and time of administration." ”
    Source data from
    2017-04-04
    Accessed
    2026-05-03 · archived copy
    Calculation
    Wysocki 2017 replicates and refines the Prymula 2009 finding with PCV13 (13-valent rather than 10-valent) and includes ibuprofen as a separate arm. Key additional findings: (1) the blunting is restricted to 5 of 13 serotypes for paracetamol with PCV13, versus all 10 serotypes in Prymula 2009 — indicating vaccine formulation matters; (2) delayed dosing (6+ hours after vaccination) removes the blunting effect entirely; (3) ibuprofen blunts pertussis and tetanus but spares most pneumococcal serotypes. The maintained seroprotection in all groups is reassuring for clinical outcomes but does not negate the concern about antibody level durability over time. Used as the key replication study and timing-evidence source.
    Independence
    Independent Polish RCT with distinct enrolment, vaccine brand, and antipyretic arms from both Prymula studies. Converges on the same core finding via a different methodology.

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