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Likelier
Health · reviewed 2026-04-11

What are the odds of a serious adverse event from a routine vaccine?

Evidence quality 4.63/5

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
5/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.63/5
Direct evidence

Lifetime probability · lifetime, activity-specific

1 in 763,359

0.0001% lifetime chance

Most people overestimate this.

range 1 in 1,111,111 to 1 in 543,478

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 25,445 1 in 763,359

● your factors — click this risk ▾ to reveal

≈ As likely as

A single small glass vial resting on a pale neutral surface, flat vector illustration in muted greys and soft blue.

Perceived

Public perception of vaccine serious adverse event (SAE) rates runs orders of magnitude above the measured numbers, driven by a combination of very vivid individual case reports, the 2020-2022 COVID-mRNA myocarditis signal, and the asymmetry between a population-wide intervention and a background disease most readers never directly see. We have not found a recent rigorous poll that isolates “fear of a serious adverse event from a routine vaccine” from the much broader category of general vaccine hesitancy, so the perceived entry here is editorial intuition, not survey. The directionally robust observation is that when asked to guess SAE rates, readers typically name figures in the low single-digit percent range per dose — roughly three to four orders of magnitude above the measured per-dose rate from the Vaccine Safety Datalink.

Rough estimate: most readers guess the risk at 1 in 100 or worse per dose; measured rates are ~1 in a million for anaphylaxis

Source: editorial intuition, not polled

Actual

~1.31 anaphylaxis cases per million vaccine doses (Vaccine Safety Datalink, 2009-2011)

US patients in the Vaccine Safety Datalink, 2009-2011, all routine vaccines

Show derivation

The headline figure is the anaphylaxis rate from McNeil et al. (JACI 2016), the largest prospective US study of vaccine-triggered anaphylaxis: 33 confirmed cases across 25,173,965 doses in the Vaccine Safety Datalink, for a rate of 1.31 per million doses (95% CI 0.90 to 1.84). We use anaphylaxis as the canonical SAE anchor because it is the best-measured, most consistently defined serious adverse event across the routine vaccine schedule, and because it is the specific “serious” outcome most often invoked in pre-vaccination consent discussions. Scope is declared as activity_specific_lifetime: this is a per-dose probability for the specific activity of receiving a routine vaccine, not a general US-adult-lifetime number, and is not directly comparable to the population-lifetime figures on other Likelier pages. Other measurable SAE signals across the routine schedule sit within the same order of magnitude: Guillain-Barre after influenza vaccine at approximately 1 to 2 additional cases per million doses, historical oral polio vaccine-associated paralytic polio at approximately 1 per 2 to 3 million doses. The notable outlier is post-2021 myocarditis after mRNA COVID-19 second doses in young males, measured at approximately 40.6 per million second doses in males 12 to 29 per the CDC ACIP / Shimabukuro presentation to MMWR in June 2021, with higher rates (62.8 per million) in the 12 to 17 male subgroup. That signal is real and is the subject of the regional_breakdown and caveats sections below; it is also an order of magnitude above the all-vaccine anaphylaxis baseline, which is why Likelier reports both. Almost all measured SAEs resolve without lasting harm: McNeil et al. report zero deaths and only one hospitalization among the 33 anaphylaxis cases.

Caveats: The 1.31 per million headline covers anaphylaxis specifically, which is the best…

The 1.31 per million headline covers anaphylaxis specifically, which is the best-measured SAE across the routine vaccine schedule and the outcome most commonly cited in pre-vaccination consent. It is not a single all-inclusive “any serious adverse event” rate, because the definition of “serious” varies across surveillance systems. Broader aggregate rates of medically-attended serious adverse events across the full US routine schedule run roughly 1 in 100,000 to 1 in 1,000,000 per dose depending on definition, which brackets the anaphylaxis figure. Second caveat: post-2021 mRNA COVID-19 vaccines produced a real, measured elevated myocarditis signal in young males receiving second doses, at approximately 40.6 per million second doses in males 12-29 and up to 62.8 per million in males 12-17 per the CDC ACIP MMWR of June 2021. Likelier publishes real measured numbers, and that signal is real; the clinical follow-up literature (Mevorach et al., Witberg et al., Patone et al.) confirms that the observed cases were overwhelmingly mild and self-resolving with conservative management, but the elevated incidence itself is not in dispute. Third caveat, which is probably the most important comparison Likelier can offer: for every vaccine with a measurable SAE rate, the disease the vaccine prevents has a higher rate of the same SAE. Measles causes myocarditis more often than MMR. SARS-CoV-2 infection causes myocarditis more often than an mRNA second dose, including in young males. Measles case fatality runs roughly 1 per 1,000 in high-income settings, approximately 770 times the MMR anaphylaxis rate. The denominator on “risk of a serious event from a vaccine” is always best understood next to the denominator on “risk of the same serious event from the disease the vaccine prevents.” See <a href="/fears/anaphylaxis-fatal">anaphylaxis-fatal</a> for the related entry on fatal anaphylaxis from all causes.

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
All routine vaccines, anaphylaxis (VSD, 2009-2011) 1 in 763,359 Headline figure from McNeil et al. JACI 2016. 33 confirmed cases / 25.2 million doses. Zero deaths, 1 hospitalization across all cases.
Influenza vaccine, anaphylaxis (inactivated trivalent, alone) 1 in 740,741 10 cases / 7,434,628 doses given alone, per McNeil et al. 1.35 per million, not meaningfully different from the all-vaccine average.
mRNA COVID-19 vaccine, myocarditis, males 12-29 (CDC ACIP, June 2021, 2nd dose) 1 in 24,631 40.6 per million second doses per MMWR 70(27). The one routine-schedule SAE signal in the past decade that is meaningfully above the all-vaccine anaphylaxis baseline. Clinical outcomes overwhelmingly mild and self-resolving per follow-up literature.
mRNA COVID-19 vaccine, myocarditis, males 12-17 (CDC ACIP, June 2021, 2nd dose) 1 in 15,924 62.8 per million second doses in the highest-signal subgroup. Still below 1 in 10,000 per dose.
Influenza vaccine, Guillain-Barre syndrome (excess over background) 1 in 666,667 Approximately 1-2 additional GBS cases per million doses above background, per CDC and post-2009-H1N1 pharmacovigilance studies. Order of magnitude matches the anaphylaxis rate.
Oral polio vaccine, vaccine-associated paralytic polio (historical) 1 in 2,500,000 Approximately 1 case per 2-3 million doses of the oral (Sabin) vaccine, the reason the US switched to inactivated (Salk) vaccine in 2000. Included as historical context; the currently-used inactivated polio vaccine does not carry this risk.

Risks at similar odds

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

Health

Japanese encephalitis (travel)

What are the odds of contracting Japanese encephalitis as a traveler to Asia?

Health

Medication reaction

What are the odds of a serious adverse drug reaction from prescribed medication?

Health

Anaphylaxis

What are the odds of dying from a severe allergic reaction?

Health

Anesthesia death

What are the odds of dying from general anesthesia during surgery?

Health

Sudden death (young adult)

What are the odds of dying suddenly as a young, apparently healthy adult?

Compare to:

The best-measured serious adverse event across the US routine vaccine schedule is anaphylaxis, and the canonical US per-dose figure comes from McNeil et al. (JACI 2016), a prospective cohort analysis of the Vaccine Safety Datalink across five health systems from 2009 to 2011: 33 confirmed vaccine-triggered anaphylaxis cases across 25,173,965 doses, for a rate of 1.31 per million doses (95% CI 0.90 to 1.84). Zero of those 33 patients died; one was hospitalized. Other measurable SAE signals across the routine schedule sit within the same order of magnitude: excess Guillain-Barre syndrome after influenza vaccine at roughly 1 to 2 additional cases per million doses, and historical oral polio vaccine-associated paralytic polio at roughly 1 case per 2 to 3 million doses (the reason the US switched to inactivated polio vaccine in 2000). For perspective, the per-million MMR anaphylaxis rate is roughly 770 times lower than the case fatality rate of measles itself, which runs around 1 per 1,000 in high-income settings.

The notable exception to the “low single-digit per million” baseline is the post-2021 myocarditis signal after mRNA COVID-19 second doses in young males. The CDC / ACIP MMWR report of June 2021 put the rate at 40.6 per million second doses in males aged 12 to 29, with higher rates in the 12 to 17 subgroup (62.8 per million). This is a real, measured, replicated signal, and Likelier reports it at face value: roughly 30 times above the all-vaccine anaphylaxis baseline. The clinical follow-up literature from Israel (Mevorach et al., Witberg et al.) and the UK (Patone et al.) confirms both the elevated incidence and the observation that the overwhelming majority of reported cases were mild and self-resolving with conservative management. The elevated incidence itself is not in dispute; the clinical weight of the outcomes is what kept the vaccines in use for the age groups where the infection risk dominated.

The comparison that matters for any of these numbers is the counterfactual. For every vaccine with a measurable SAE rate, the disease the vaccine prevents has a higher rate of the same SAE. Measles causes myocarditis more often than MMR. SARS-CoV-2 infection causes myocarditis more often than an mRNA second dose, including in young males — several cohort studies put the infection-associated myocarditis incidence at six to ten times the vaccine-associated rate in the same age and sex subgroup. The anaphylaxis figure above is itself a small fraction of the all-cause background anaphylaxis rate: see anaphylaxis-fatal for the broader entry on fatal anaphylaxis from all triggers (~205 US deaths per year, of which vaccines are a minority slice). The 1.31 per million headline is not a statement about whether vaccines are safe in the abstract; it is a measurement of a specific, narrowly defined, mostly self-resolving event, published here alongside the one outlier signal (mRNA second-dose myocarditis in young males) that meaningfully departs from it.

Serious vaccine adverse events: roughly 1-2 per million doses. Unprotected sex STI transmission per encounter: 1-30%. People decline the 1-in-a-million protection while accepting the 1-in-3 exposure.

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] Journal of Allergy and Clinical Immunology / McNeil MM, Weintraub ES, Duffy J, et al. (PubMed / NLM) — Risk of anaphylaxis after vaccination in children and adults
    Risk of anaphylaxis after vaccination in children and adults
    Statistic
    33 confirmed vaccine-triggered anaphylaxis cases across 25,173,965 doses in the Vaccine Safety Datalink, 2009-2011; rate of 1.31 per million doses (95% CI 0.90-1.84); zero deaths, one hospitalization
    Excerpt
    “"We identified 33 confirmed vaccine-triggered anaphylaxis cases that occurred after 25,173,965 vaccine doses. The rate of anaphylaxis was 1.31 (95% CI, 0.90-1.84) per million vaccine doses." ”
    Source data from
    2016-03-01
    Accessed
    2026-04-11 · archived copy
    Calculation
    McNeil et al. is a prospective cohort analysis across five Vaccine Safety Datalink sites over 2009-2011. The 33-case numerator divided by the 25,173,965-dose denominator gives the headline rate of ~1.31 per million doses used directly as the native value. Normalized value = numerator / denominator = 33 / 25,173,965 ≈ 1.31 × 10^-6. Uncertainty band uses the paper’s own 95% confidence interval of 0.90 to 1.84 per million, i.e. 9.0 × 10^-7 to 1.84 × 10^-6. Note: incorporating the mRNA myocarditis signal (40.6 per million = 4.06 × 10^-5) would widen the band considerably, but that signal is subgroup- and vaccine-specific and is reported separately in the regional_breakdown. The paper separately reports that all 33 cases recovered, with no deaths and only a single hospitalization, which is the basis for the “resolves without lasting harm in most cases” framing in the long-form body.
    Independence
    VSD-based. Draws on the same five-site cohort that CDC uses for most of its per-dose vaccine safety surveillance. Subsequent reviews (e.g., Dreskin et al. in Current Treatment Options in Allergy 2019) cite this paper as the canonical US per-dose anaphylaxis rate.
  2. [2] Morbidity and Mortality Weekly Report / Centers for Disease Control and Prevention — Use of mRNA COVID-19 Vaccine After Reports of Myocarditis Among Vaccine Recipients: Update from the Advisory Committee on Immunization Practices — United States, June 2021
    Use of mRNA COVID-19 Vaccine After Reports of Myocarditis Among Vaccine Recipients: Update from the Advisory Committee on Immunization Practices — United States, June 2021
    Statistic
    40.6 myocarditis cases reported per million second doses of mRNA COVID-19 vaccine in males aged 12-29; 62.8 per million in males 12-17 and 50.5 per million in males 18-24
    Excerpt
    “"Myocarditis reporting rates were 40.6 cases per million second doses of mRNA COVID-19 vaccines administered to males aged 12&minus;29 years." ”
    Source data from
    2021-07-09
    Accessed
    2026-04-11 · archived copy
    Calculation
    The MMWR report is the ACIP / Shimabukuro presentation that crystallized the myocarditis signal. Used here not as the headline number but as the counter-example that explains why Likelier reports real SAE signals even when they are small. The 40.6 per million figure is approximately 30 times the all-vaccine anaphylaxis baseline of 1.31 per million, which is why the long-form body singles it out: it is the one recent routine-schedule vaccine SAE signal that is meaningfully above the century-average background rate. The same MMWR and follow-up CDC clinical guidance emphasize that the majority of reported myocarditis cases were mild and self-resolving with conservative management, which is what determines how Likelier reports the signal: a real elevated rate, a real clinical follow-up burden, but overwhelmingly mild outcomes.
    Independence
    This is the CDC / ACIP primary surveillance report, drawing on VAERS and V-Safe data which are the US federal vaccine safety monitoring systems. The clinical and cardiology follow-up literature (Mevorach et al. NEJM 2021, Witberg et al. NEJM 2021, Patone et al. Nature Medicine 2022) replicates the signal in independent Israeli and UK datasets, so the effect itself is not a single-source artefact even though the MMWR number is cited here as the US authoritative figure.

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