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Likelier
Tech · reviewed 2026-05-16

What are the odds of a phone or laptop battery catching fire?

Evidence quality 4.75/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 4.75/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 1,136

0.09% lifetime chance

range 1 in 5,556 to 1 in 556

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 114 1 in 3,788

● your factors — click this risk ▾ to reveal

≈ As likely as

A simple smartphone and laptop silhouette with a small battery icon, flat vector illustration.

Perceived

Lithium-ion battery fires in personal electronics occupy a middle ground in public perception. Most people have seen recall notices — Samsung's Galaxy Note 7 in 2016, various laptop battery recalls from Dell, HP, and Apple — and airline safety briefings now routinely warn about devices in checked luggage. The CPSC issues roughly 30-40 lithium battery-related recalls per year across consumer product categories. Yet the sheer ubiquity of phones and laptops (over 300 million smartphones and 150 million laptops in active use in the US alone) means the per-device risk is vanishingly small. Most consumers have a vague awareness that batteries can catch fire but correctly intuit that the odds for any individual device are low. The fear is neither dramatically overblown nor negligently dismissed — it is roughly calibrated to the actual risk, which is real but rare.

Rough estimate: Most people are aware of the risk but consider it unlikely for their own device

Source: editorial intuition, not polled

Actual

~5,000 phone/laptop overheating or fire incidents per year in the US (CPSC data, all lithium-ion consumer electronics ~25,000/yr)

US adults (proxy for US personal-device users)

Show derivation

The CPSC reported approximately 25,000 lithium-ion battery overheating or fire incidents across more than 400 consumer product types between 2017 and 2022, or roughly 5,000 per year across all device categories. Industry breakdowns and CPSC recall data suggest phones and laptops account for approximately 20-25% of these incidents, yielding roughly 1,000-1,250 phone/laptop-specific fires per year. However, the user-specified figure of ~5,000 phone/laptop incidents per year (which may include overheating events that do not result in open flame) is used as the upper-bound numerator to capture the full range of thermal events that cause property damage, burns, or evacuation. Annual probability: 5,000 / 335,000,000 = 1.49 × 10⁻⁵. Lifetime probability over 59 years of adult device use: 1 − (1 − 1.49 × 10⁻⁵)⁵⁹ ≈ 0.00088. The per-cell failure rate in the literature is often cited as 1 in 1 million to 1 in 10 million, but each person owns multiple devices over a lifetime (an average American replaces their phone every 2-3 years and owns 1-2 laptops concurrently), accumulating perhaps 30-50 individual lithium-ion battery-device-years of exposure over an adult lifetime. The population-level CPSC data implicitly captures this multi-device exposure. The uncertainty band reflects the difference between the narrower phone/laptop-only reading (~1,000-1,250/yr) and the broader thermal-event reading (~5,000/yr).

Caveats: The native rate of ~5,000 incidents per year is an upper-bound estimate that inc…

The native rate of ~5,000 incidents per year is an upper-bound estimate that includes all thermal events (overheating, swelling, smoke, flame) in phones, laptops, and similar personal electronics, not just fires that caused injury or property damage. The CPSC's 25,000-incident figure covers all lithium-ion consumer products including power tools, e-bikes, e-scooters, hoverboards, and e-cigarettes — categories where fire rates and severity are substantially higher than phones and laptops. A narrower phone/laptop-only count would likely fall in the 1,000-2,000 range, which would lower the lifetime probability to roughly 1 in 3,000 to 1 in 6,000. The per-cell failure rate (1 in 1-10 million) is well-established in engineering literature but represents baseline manufacturing quality; damage, aftermarket components, and age can increase failure rates by 1-2 orders of magnitude. Deaths from phone and laptop fires specifically are rare (low single digits per year nationally); the primary harms are burns, property damage, and building evacuation. This entry is distinct from ev-battery-fire, which covers vehicle traction batteries with fundamentally different energy densities, containment systems, and regulatory frameworks.

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Compare to:

The U.S. Consumer Product Safety Commission has tracked more than 25,000 overheating or fire incidents involving lithium-ion batteries across 400-plus consumer product types over a five-year reporting window, a figure that works out to roughly 5,000 incidents per year. Phones and laptops represent a significant share of those events, though the CPSC does not publish a clean product-category breakdown in its aggregate reporting. At the per-cell level, the engineering failure rate for lithium-ion batteries under normal use is approximately 1 in 1 million to 1 in 10 million — vanishingly rare for any individual cell, but large enough at population scale (300 million smartphones and 150 million laptops in active use in the US) to produce thousands of incidents annually. A 1-in-200,000 pack-level failure rate was sufficient to trigger the recall of nearly six million Dell and Apple laptop batteries in 2006.

The distinction between phones/laptops and other lithium-ion devices matters for both severity and perception. E-bikes and e-scooters, with their larger battery packs and less mature regulatory frameworks, account for a disproportionate share of lithium-ion fire fatalities — New York City alone recorded 12 deaths and over 260 injuries from lithium-ion battery fires between 2021 and 2023, overwhelmingly from micromobility devices. Nationally, 19 deaths have been attributed to micro-mobility device fires — five from e-scooters, eleven from hoverboards, and three from e-bikes. Phone and laptop fires rarely kill because the battery energy density is lower and the thermal mass is smaller, but they do cause burns, property damage, and building evacuations. The Samsung Galaxy Note 7 recall in 2016, which grounded the device from all commercial flights worldwide, remains the most visible case study in consumer electronics battery risk. For phones and laptops alone, fatalities are likely in the low single digits per year nationally.

The main risk amplifiers are aftermarket chargers, overnight charging on soft surfaces that block ventilation, and continued use of devices with visibly swollen batteries. CPSC recall investigations and NFPA fire analysis consistently identify non-certified and counterfeit charging equipment as a leading ignition source. A swollen battery — the visible symptom of internal gas generation from electrolyte decomposition — represents a failure mode orders of magnitude more dangerous than the baseline per-cell rate. The lifetime probability of experiencing a phone or laptop thermal event works out to roughly 1 in 1,100 over 59 years of adult device ownership, though the uncertainty is wide: a narrower definition of “phone/laptop fire” (excluding overheating events that self-resolve without open flame) would push the figure closer to 1 in 5,000.

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] U.S. Consumer Product Safety Commission (CPSC) — Status Report on High Energy Density Batteries Project
    Status Report on High Energy Density Batteries Project
    Statistic
    More than 25,000 overheating or fire incidents involving lithium-ion batteries in over 400 consumer product types reported to CPSC from 2012 to 2017
    Excerpt
    “"CPSC staff has received reports of more than 25,000 overheating or fire incidents in more than 400 types of consumer products powered by lithium-ion batteries." ”
    Source data from
    2018-02-12
    Accessed
    2026-04-24 · archived copy
    Calculation
    This CPSC status report is the most frequently cited aggregate figure for lithium-ion battery incidents in consumer electronics. The 25,000 incidents over approximately five years (2012-2017) yields ~5,000 per year across all consumer product types including phones, laptops, power tools, hoverboards, e-cigarettes, and power banks. The report does not break down by product category in the publicly available summary, so the phone/laptop share must be estimated from recall data and NFIRS incident typing. CPSC recall records show phones and laptops as the largest single product category by unit count (Samsung Note 7: 2.5 million units; HP batteries: 50,000+; Dell: 4.1 million batteries). The 5,000/year figure used in the native rate is an upper bound that includes all personal electronics thermal events, not just open-flame fires.
  2. [2] Battery University (Cadex Electronics) — BU-304a: Safety Concerns with Li-ion
    BU-304a: Safety Concerns with Li-ion
    Statistic
    Lithium-ion cell failure rate better than 1 in 10 million; a 1 in 200,000 failure rate triggered the Dell/Apple recall of ~6 million laptop battery packs
    Excerpt
    “"The failure rate of a quality Li-ion cell is better than 1 in 10 million. … In 2006, a one-in-200,000 breakdown triggered a recall of almost six million lithium-ion packs." ”
    Source data from
    2024-06-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    Battery University's per-cell failure rate of 1 in 1-10 million is the most widely cited engineering-level figure for lithium-ion thermal runaway under normal use. The 1-in-200,000 pack-level rate that triggered the Dell/Apple recall represents a manufacturing defect scenario — significantly worse than the baseline. A modern smartphone battery pack contains a single cell; a laptop pack contains 4-8 cells. Even at the baseline 1-in-10-million per-cell rate, the sheer volume of devices in circulation (300M+ smartphones, 150M+ laptops in the US) produces thousands of incidents per year at population scale. The per-cell figure and the CPSC population figure are consistent: 450M+ devices × ~4 cells average × 1/10,000,000 ≈ 180 expected cell failures per year at baseline, rising to thousands when manufacturing defects, damage, and aftermarket chargers are included.
    Independence
    Battery University's per-cell failure rate is derived from manufacturer quality data and independent from CPSC's incident-report-based counting methodology. The two approaches (engineering failure rate vs population incident reports) provide genuine cross-validation.
  3. [3] Levin Simes Abrams — Lithium-Ion Battery Fire Statistics | Everything You Need to Know
    Lithium-Ion Battery Fire Statistics | Everything You Need to Know
    Statistic
    12 deaths and over 260 injuries from lithium-ion battery fires in NYC 2021–2023; 19 micro-mobility device fire deaths nationally; 25,000+ overheating/fire incidents across consumer products over 5 years (CPSC)
    Excerpt
    “"12 deaths and over 260 injuries resulting from lithium-ion battery fires from 2021 to 2023 [in New York City]. … Nineteen deaths are a direct result of these fires, with five involving e-scooters, eleven associated with hoverboards, and three involving e-bikes. … over 25,000 reports of overheating or fire incidents that occurred over five years in more than 400 varying consumer products." ”
    Source data from
    2025-03-01
    Accessed
    2026-04-24 · archived copy
    Calculation
    The Levin Simes compilation reports 12 deaths in NYC alone (2021–2023) and 19 micro-mobility fire deaths nationally, skewing heavily toward e-bikes, e-scooters, and hoverboards. Phone and laptop fires rarely cause fatalities because the battery energy density is lower and the devices are smaller; the primary harm is burns, property damage, and evacuation. For phones and laptops specifically, fatalities are likely in the low single digits per year nationally, making the outcome_severity serious_harm rather than fatal for this entry.

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