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Tech · reviewed 2026-04-18

What are the odds of getting cancer from 5G towers or cell phone radiation?

Evidence quality 4.63/5

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

No reliable estimate

Not quantified

A simplified cell tower silhouette rendered in muted blue-grey tones against a pale background, flat vector illustration.

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
General population near cell towers 1 in 1,000,000 Structural floor. Ambient RF power density from cell towers at ground level is typically 1,000-10,000x below ICNIRP general public limits. No epidemiological study has found elevated cancer incidence in populations living near base stations. Multiple ecological studies (UK, Germany, Israel) have looked; none found a signal after controlling for confounders.
Heavy phone users (>30 min/day against head) 1 in 200,000 Placeholder reflecting the INTERPHONE top-decile finding (OR 1.40 for glioma) which the study authors attributed to bias. If the association were causal, the absolute risk increase over a baseline lifetime glioma rate of ~0.6% would be small. The FDA and WHO do not consider this finding sufficient to establish causation.
Occupational (telecom tower workers) 1 in 333,333 Telecom workers installing and maintaining antennas can experience near-field exposures closer to ICNIRP occupational limits. Occupational studies have not found consistent cancer elevation, but sample sizes are small. ICNIRP occupational limits are set with a 50x reduction factor below thermal thresholds.
mmWave 5G (24-39 GHz) specific exposure 1 in 1,000,000 mmWave radiation is absorbed in the outer layers of skin and does not penetrate to internal organs. ICNIRP 2020 guidelines explicitly cover these frequencies. No epidemiological data exists for mmWave-specific cancer risk because population-scale exposure only began in 2020. The physics of shallow penetration depth makes internal organ effects implausible at guideline-compliant levels.
Compare to:

The evidence base for RF-EMF and cancer is unusually polarized between regulatory bodies. IARC classified radiofrequency electromagnetic fields as Group 2B (“possibly carcinogenic”) in 2011, based primarily on the INTERPHONE study’s finding of a 40% elevated glioma risk in the highest decile of cumulative phone use — a result the study authors themselves said could not be causally interpreted due to recall bias and selection bias. The overall INTERPHONE odds ratio for glioma was actually below 1.0 (OR 0.81), suggesting a protective effect that everyone agrees is artifactual. Meanwhile the FDA’s 2020 review, the WHO EMF Project, and ICNIRP’s 2020 guidelines update all concluded that the weight of evidence does not support a causal link between RF-EMF exposure at guideline-compliant levels and cancer. ICNIRP’s 2020 guidelines explicitly cover 5G frequencies up to 300 GHz and found no scientific basis to revise the 1998 exposure limits, only restructuring their form for clarity.

What makes the 5G fear distinctive is less the science than the sociology. The rollout coincided with the COVID-19 pandemic, and conspiracy theories linking the two drove arson attacks on dozens of cell towers across the UK, Ireland, and the Netherlands in early 2020. The IARC 2B classification (designed as a hazard-identification label, not a risk quantification) was routinely stripped of context and presented as proof that “the WHO says cell phones cause cancer.” Group 2B contains over 300 agents, including aloe vera whole-leaf extract, pickled vegetables, and talcum powder; it means limited evidence exists that cannot be dismissed, not that a risk has been established. The distinction between IARC’s framework (which asks “could this cause cancer under any exposure scenario?”) and WHO’s risk assessment (which asks “does this cause cancer at real-world levels?”) is subtle and systematically lost in media coverage.

For the phone-in-pocket sub-question, the testicular-heat-exposure entry on this site covers the stronger evidence pathway: thermal effects on semen parameters from device heat, not RF-specific carcinogenesis. Adams’s 2014 meta-analysis found an 8.1% motility reduction associated with phone exposure, but the confidence intervals are wide, the included studies mix in vitro irradiation with observational self-reports, and no study measured fertility outcomes. The American Cancer Society does not list RF-EMF among testicular cancer risk factors. For 5G specifically, the millimeter-wave frequencies (24-39 GHz) are absorbed in the outer skin layers and do not penetrate to internal organs — a physics constraint that makes internal cancer risk implausible at ICNIRP-compliant power levels, though population-scale epidemiological data at these frequencies does not yet exist because deployment is too recent.

5G cell towers emit non-ionizing radiation at power levels thousands of times below safety limits. No plausible biological mechanism for harm exists. The WHO, FDA, and ICNIRP agree. The anxiety is real. The risk is not.

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] International Agency for Research on Cancer (WHO/IARC) — IARC classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans
    IARC classifies radiofrequency electromagnetic fields as possibly carcinogenic to humans
    Statistic
    RF-EMF classified as Group 2B ('possibly carcinogenic to humans') based on limited evidence of glioma in heavy mobile phone users
    Excerpt
    “"The evidence was reviewed critically, and overall evaluated as being limited among users of wireless telephones for glioma and acoustic neuroma, and inadequate to draw conclusions for other types of cancers. The evidence from the occupational and environmental exposures mentioned above was similarly judged inadequate. The Working Group did not quantitate the risk; however, one study of past cell phone use (up to the year 2004), showed a 40% increased risk for gliomas in the highest category of heavy users (reported average: 30 minutes per day over a 10-year period)." ”
    Source data from
    2011-05-31
    Accessed
    2026-04-18 · archived copy
    Calculation
    The IARC Monograph 102 Working Group evaluated RF-EMF based primarily on the Interphone study (2010) and Hardell group case-control studies. The 40% glioma increase was observed only in the highest decile of cumulative call time in Interphone, and the Interphone authors themselves cautioned that recall bias and selection bias could account for the finding. Group 2B is IARC's second-lowest risk category — it indicates limited evidence in humans and less than sufficient evidence in animals. Over 300 agents are classified 2B, including aloe vera extract, pickled vegetables, and occupational dry cleaning. The classification does not constitute a risk quantification.
  2. [2] International Commission on Non-Ionizing Radiation Protection (ICNIRP) — Guidelines for Limiting Exposure to Electromagnetic Fields (100 kHz to 300 GHz)
    Guidelines for Limiting Exposure to Electromagnetic Fields (100 kHz to 300 GHz)
    Statistic
    ICNIRP 2020 guidelines set exposure limits with large safety factors; 5G frequencies (sub-6 GHz and mmWave up to 300 GHz) remain non-ionizing and within the same framework
    Excerpt
    “"There are no adverse health effects of RF EMF exposure in the frequency range and at the exposure levels relevant for the guidelines described here, other than those related to body temperature rise. A thorough review of the scientific literature published since the 1998 guidelines has not revealed a need to revise the basic restrictions on scientific grounds, although the form of the guidelines has been changed considerably." ”
    Source data from
    2020-03-11
    Accessed
    2026-04-18 · archived copy
    Calculation
    ICNIRP's 2020 update reviewed the entire post-1998 literature, including studies at frequencies used by 5G (sub-6 GHz and mmWave 24-300 GHz). The guidelines explicitly cover 5G frequencies. The only confirmed health effect at these frequencies is tissue heating, and the exposure limits incorporate reduction factors of 50x (occupational) to 200x (general public) below thresholds where thermal effects begin. Actual 5G small cell power output is typically lower per base station than 4G macro towers because of the densified architecture. ICNIRP is the independent scientific body whose guidelines are adopted by most national regulators outside the US (the FCC uses IEEE standards that reach similar conclusions).
  3. [3] The Lancet Oncology / INTERPHONE Study Group — Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study
    Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study
    Statistic
    No overall increased risk of glioma or meningioma with mobile phone use; OR 0.81 (95% CI 0.70-0.94) for glioma overall; elevated OR 1.40 (95% CI 1.03-1.89) only in the highest decile of cumulative call time
    Excerpt
    “"Overall, no increase in risk of glioma or meningioma was observed with use of mobile phones. There were suggestions of an increased risk of glioma at the highest exposure levels, but biases and error prevent a causal interpretation." ”
    Source data from
    2010-05-17
    Accessed
    2026-04-18
    Calculation
    The INTERPHONE study is the largest case-control study of cell phone use and brain tumors, covering 13 countries with 2,708 glioma cases and 2,409 meningioma cases. The overall odds ratio for glioma was protective (0.81), which the authors attributed to participation bias. The elevated OR in the top decile (1.40) is the primary finding that drove the IARC 2B classification. The authors explicitly stated that "biases and error prevent a causal interpretation" of the top-decile result. The study covered phone use up to 2004 — before 4G, let alone 5G — and measured cumulative call time, not ambient tower exposure.
    Independence
    INTERPHONE is the primary study underlying the IARC classification; the IARC source above is a downstream interpretation of this and other data. They are not independent but serve different roles — INTERPHONE provides the data, IARC provides the regulatory classification.
  4. [4] US Food and Drug Administration — Review of Published Literature between 2008 and 2018 of Biological Effects of Radiofrequency Radiation on Cell Phones
    Review of Published Literature between 2008 and 2018 of Biological Effects of Radiofrequency Radiation on Cell Phones
    Statistic
    FDA concluded that the weight of scientific evidence does not support the conclusion that non-ionizing RF energy from cell phones causes cancer
    Excerpt
    “"Based on our ongoing evaluation as well as the review by other scientific organizations, we have not found sufficient evidence that there are adverse health effects in humans caused by exposures at or under the current radiofrequency energy exposure limits." ”
    Source data from
    2020-02-10
    Accessed
    2026-04-18
    Calculation
    The FDA's 2020 review covered epidemiological, animal, and in vitro studies published between 2008 and 2018. The review explicitly addressed the NTP (National Toxicology Program) rat study, which found some evidence of schwannoma in male rats exposed to whole-body RF at SAR levels 2-8x the human safety limit for 9 hours/day over 2 years. The FDA concluded that the NTP results were not generalizable to human cell phone use because of the vastly higher exposure levels and whole-body irradiation protocol. This is the US regulatory counterpart to ICNIRP; both bodies reached the same conclusion using different review processes.
    Independence
    The FDA review is an independent US regulatory assessment. It evaluates some of the same underlying studies as IARC Monograph 102 but applies a different weight-of-evidence framework and reaches a distinct conclusion about the sufficiency of evidence for a causal link.
  5. [5] World Health Organization — Electromagnetic fields and public health: mobile phones
    Electromagnetic fields and public health: mobile phones
    Statistic
    WHO states that there is no evidence to conclude that exposure to low level electromagnetic fields is harmful to human health
    Excerpt
    “"Despite extensive research, to date there is no evidence to conclude that exposure to low level electromagnetic fields is harmful to human health. … The user of a mobile phone encounters field levels that are much higher than any levels in the normal living environment. However, even these increased levels do not appear to generate harmful effects." ”
    Source data from
    2014-10-08
    Accessed
    2026-04-18 · archived copy
    Calculation
    The WHO EMF Q&A page is the most widely cited public-health summary on mobile phone safety. It post-dates the IARC 2B classification and explicitly notes that the overall evidence does not suggest detrimental effects. WHO's own position — "no evidence to conclude that exposure to low level electromagnetic fields is harmful" — is more conservative than the Group 2B label, reflecting the difference between IARC's hazard identification framework (which asks "could this ever cause cancer under any conditions?") and WHO's risk assessment framework (which asks "does this cause cancer at real-world exposure levels?").

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