Skip to content
Likelier
Kids · reviewed 2026-04-19

What are the odds of overprotective or authoritarian parenting causing lasting harm to your child?

Evidence quality 5.0/5

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
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
5/5
D8 Caveat completeness
5/5
Average 5.0/5
Direct evidence

No reliable estimate

Not quantified

An empty playground swing hanging motionless against a muted sky, flat vector illustration in subdued blue-grey tones.

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
Helicopter/overprotective parenting Meta-analytic associations with anxiety (r ≈ 0.16) and depression (r ≈ 0.20) in emerging adults are statistically significant but small, explaining 2-4% of the variance. The research is cross-sectional and correlational — reverse causation (anxious children elicit more hovering) is a plausible alternative explanation. No reliable per-child probability of 'lasting harm' can be derived from these effect sizes.
Authoritarian/achievement-focused parenting Authoritarian parenting is consistently associated with higher anxiety, aggression, and lower self-esteem in Western samples (Baumrind 1966, 1991). Effect sizes are comparable to or slightly larger than helicopter parenting. However, the association is strongly moderated by culture — in collectivist societies (East Asian, African American, Arab communities), authoritarian practices are often associated with neutral or positive outcomes, undermining any universal risk estimate.
Neglectful/uninvolved parenting Severe neglect produces the largest and most consistent negative effects in the parenting literature — cognitive impairment, language deficits, behavioural problems, and disrupted brain architecture. Effect sizes for neglect dwarf those for overparenting or authoritarian parenting. This is the parenting failure mode that reliably produces lasting harm, and it is the one parents who worry about helicopter parenting are least likely to commit.
Authoritative parenting (warm + firm boundaries) Authoritative parenting is consistently associated with the best outcomes across studies: higher self-esteem, better academic performance, lower rates of depression and substance use. This is the evidence-backed approach — high warmth combined with clear expectations and age-appropriate autonomy. The effect sizes are moderate and the most replicated finding in parenting research.
Compare to:

The modern parenting advice industry operates on an implicit premise: that parenting style is a high-leverage variable with the power to produce or prevent lasting psychological damage. Helicopter parenting, tiger parenting, attachment parenting, free-range parenting — each comes with its own anxiety narrative and its own set of warnings about what happens if you get it wrong. The research base tells a less dramatic story. The most comprehensive meta-analysis of helicopter parenting to date (McCoy, Dimler, and Rodrigues 2024, covering 53 studies) finds small-to-moderate associations with increased internalising behaviours and reduced self-efficacy in emerging adults. A separate meta-analytic summary reports correlations of r = 0.16 for anxiety and r = 0.20 for depression — statistically significant in large samples, but explaining only 2-4% of the variance in those outcomes. Schiffrin et al. (2014) and LeMoyne and Buchanan (2011) found similar patterns in smaller samples. These are real associations, but they are a long way from the deterministic cause-and-effect that the popular discourse implies.

The deeper challenge to the parenting-as-destiny narrative comes from behavioural genetics. Decades of twin and adoption studies, summarised by Plomin et al. (2016), have produced one of the most robustly replicated and least popular findings in psychology: shared family environment — the component that includes parenting style, household income, neighbourhood, and everything else siblings experience in common — explains near-zero variance in adult personality traits. Genetics accounts for roughly half, and nonshared environment (peers, idiosyncratic experiences, measurement error) accounts for most of the remainder. Judith Rich Harris argued in “The Nurture Assumption” (1998) that peer socialisation does more to shape a child’s adult personality than parenting does. Subsequent research has qualified her strongest claims — parenting does appear to matter for adolescent mental health in the moment, more than Harris allowed — but the core finding from behavioural genetics has held up: the aspects of home life that siblings share, including parenting style, are weak predictors of who those children become as adults.

None of this means parenting is irrelevant. Authoritative parenting — high warmth combined with firm, consistent boundaries and age-appropriate autonomy — produces the best outcomes across nearly every study, and that finding is among the most replicated in developmental psychology. Both extremes produce worse results: overprotective parents undermine autonomy development, and authoritarian parents suppress emotional expression. But the parenting failure mode that produces reliably large and lasting effects is severe neglect, not stylistic miscalibration. Neglected children show cognitive impairment, language deficits, disrupted brain architecture, and behavioural problems at effect sizes that dwarf anything in the helicopter parenting literature. The irony is that the parents most anxious about “ruining” their children through the wrong parenting philosophy are, almost by definition, not neglecting them. The fear of helicopter parenting harm is a worry that belongs to engaged parents — and engaged parenting, even imperfect or somewhat overbearing engaged parenting, is not what the evidence identifies as dangerous.

Studies on overprotective parenting find small effect sizes on child outcomes. The feared harms -- anxiety, dependence, incompetence -- exist in the data but are modest. The intervention often exceeds the risk it targets.

The correlation between helicopter parenting and child outcomes is r = 0.16-0.20. Shared genetics explains most parent-child outcome similarity. The parenting style industry sells a lever that barely moves the needle.

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 Child and Family Studies (Schiffrin et al. 2014) — Helping or Hovering? The Effects of Helicopter Parenting on College Students' Well-Being
    Helping or Hovering? The Effects of Helicopter Parenting on College Students' Well-Being
    Statistic
    In a sample of 297 college students, those reporting higher helicopter parenting scored significantly higher on depression measures and lower on life satisfaction; the relationship was mediated by reduced satisfaction of basic psychological needs for autonomy and competence
    Excerpt
    “"Students who reported having over-controlling parents reported significantly higher levels of depression and less satisfaction with life. The negative effects of helicopter parenting on college students' well-being were largely explained by the perceived violation of students' basic psychological needs for autonomy and competence." ”
    Source data from
    2014-02-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Schiffrin et al. 2014 is one of the most-cited studies linking helicopter parenting to reduced well-being in emerging adults. The sample size (N=297) is modest, the design is cross-sectional (not longitudinal), and the outcome measures are self-report scales, not clinical diagnoses. The study cannot establish causation: students who are already anxious or depressed may perceive their parents' involvement as more intrusive. No native or normalized probability is derived because this entry is flagged no_reliable_estimate — the outcome is a continuous well-being scale, not a binary harm threshold.
  2. [2] Sociological Spectrum (LeMoyne & Buchanan 2011) — Does 'Hovering' Matter? Helicopter Parenting and Its Effect on Well-Being
    Does 'Hovering' Matter? Helicopter Parenting and Its Effect on Well-Being
    Statistic
    In a survey of 317 college students aged 18-25, higher perceived helicopter parenting was associated with a 3.13x increase in the likelihood of taking prescription medication for anxiety or depression, and was positively associated with recreational pain pill consumption
    Excerpt
    “"Results suggest helicopter parenting is negatively related to psychological well-being and positively related to prescription medication use for anxiety/depression and the recreational consumption of pain pills." ”
    Source data from
    2011-06-09
    Accessed
    2026-04-19 · archived copy
    Calculation
    LeMoyne & Buchanan 2011 is one of the earliest empirical studies connecting helicopter parenting to mental health medication use. The 3.13x odds ratio sounds large but comes from a small cross-sectional sample with self-reported parenting measures. The study cannot rule out reverse causation — parents may hover more over children who already have mental health difficulties, and those children may subsequently require medication. No native or normalized probability is derived. The entry is flagged no_reliable_estimate because the outcome ("lasting psychological harm") is not a binary event with a measurable base rate.
    Independence
    Independent sample from Schiffrin et al. 2014. Different university, different parenting measure, different outcome variables (medication use vs. well-being scales).
  3. [3] Journal of Adult Development (McCoy, Dimler & Rodrigues 2024) — Parenting in Overdrive: A Meta-analysis of Helicopter Parenting Across Multiple Indices of Emerging Adult Functioning
    Parenting in Overdrive: A Meta-analysis of Helicopter Parenting Across Multiple Indices of Emerging Adult Functioning

    See all 2 Likelier entries citing this source →

    Statistic
    A meta-analysis of 53 studies (111 effect sizes) found helicopter parenting was associated with increased internalising behaviours and reduced academic adjustment, self-efficacy, and regulatory skills in emerging adults; effect sizes were small to moderate
    Excerpt
    “"Helicopter parenting was associated with increased internalizing behaviors and reduced academic adjustment, self-efficacy and regulatory skills." ”
    Source data from
    2024-09-26
    Accessed
    2026-04-19 · archived copy
    Calculation
    McCoy et al. 2024 is the most comprehensive meta-analysis of helicopter parenting to date. The headline finding — small-to-moderate effect sizes across 53 studies — is the best available summary of the literature. Small to moderate in meta-analytic terms typically means r in the 0.10-0.25 range, explaining 1-6% of variance in outcomes. This is consistent with a real but modest association, not a deterministic pathway from parenting style to harm. No native or normalized probability is derived because the outcomes are continuous scales and the association is correlational.
  4. [4] Perspectives on Psychological Science (Plomin et al. 2016) — Top 10 Replicated Findings From Behavioral Genetics
    Top 10 Replicated Findings From Behavioral Genetics
    Statistic
    Across decades of twin and adoption studies, roughly 50% of variance in personality traits is attributable to genetic factors, with shared family environment (including parenting style) accounting for near-zero variance in adult personality and modest variance in childhood measures
    Excerpt
    “"What is notably absent is a large role for the shared environment, including broad features of upbringing." ”
    Source data from
    2016-01-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    Plomin et al. 2016 summarises the most robustly replicated findings from behavioural genetics. The near-zero shared-environment effect on adult personality is one of the most uncomfortable results in developmental psychology — it implies that the aspects of the home environment shared by siblings (including parenting style, socioeconomic status, neighbourhood) explain very little of the variance in how children turn out as adults. This does not mean parenting is irrelevant to child well-being in the moment, but it substantially constrains claims about "lasting harm" from normal-range parenting variation. Included to contextualise the helicopter parenting literature against the broader genetic evidence.
    Independence
    Independent evidence base from the helicopter parenting studies. Draws on twin and adoption research across multiple countries and decades.

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