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Perceived fear vs. actual probability

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

Not quantified

No reliable estimate

We looked for authoritative data on this question and could not find a number we are willing to publish. Possible reasons: sources disagree substantially, the underlying dataset is known to be biased, or the question depends on context we can’t normalize to a common baseline.

Know of a rigorous, peer-reviewed source we missed? Please tell us.

Kids · reviewed 2026-04-19
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
Source No reliable estimate
An empty playground swing hanging motionless against a muted sky, flat vector illustration in subdued blue-grey tones.

Decisions this risk informs

Choices that turn on this risk — how people weigh the trade-off.

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.

40% of parents say grandparents are too soft or lenient, a proxy for indulgent gift-giving. Only 14% say grandparents are too strict.

Read more → ⇋ regret

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.

2/5 sources independently verified verbatim against the cited source

  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 Verified
    Top 10 Replicated Findings From Behavioral Genetics
    Statistic
    Across decades of twin and adoption studies, heritabilities for personality traits are usually 30-50%; most environmental effects are not shared by children growing up in the same family, so the shared family environment (which includes parenting style) does little to make siblings similar — for intelligence, shared-environment influence is found up until adolescence and then diminishes
    Excerpt
    “"Most environmental effects are not shared by children growing up in the same family. ... The message is not that family experiences are unimportant but rather that the relevant experiences are specific to each child in the family." ”
    Source data from
    2016-01-01
    Accessed
    2026-04-19 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    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.
  5. [5] Scientific American — Do Parents Matter? Verified
    Do Parents Matter?
    Statistic
    Judith Rich Harris's 1998 book 'The Nurture Assumption' argued that parents matter much less than commonly assumed for determining children's behavior, and that a child's peer group is far more important — her 'group socialization theory,' built on twin/adoption behavioral-genetics research.
    Excerpt
    “"parents matter much less, at least when it comes to determining the behavior of their children, than is typically assumed. Instead, Harris argued that a child's peer group is far more important." ”
    Source data from
    2009-04-09
    Accessed
    2026-07-04 · archived copy
    Verification
    Excerpt independently re-fetched and confirmed word-for-word against the cited source during our grounding audit.
    Calculation
    Cited solely to ground the specific named claim in the body prose ("Judith Rich Harris argued in 'The Nurture Assumption' [1998] that peer socialisation does more to shape a child's adult personality than parenting does"), which previously appeared without a citation. No native or normalized probability is derived from this source — it is historical/narrative framing for the behavioural-genetics discussion anchored by Plomin et al. (2016) above, not incidence data.
    Independence
    Science-journalism interview, not a primary study; independent of the four peer-reviewed sources above and not counted toward the authoritative-source requirement, which those four already satisfy.

434 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 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 Skipping care over ICE fear — 1 in 7.1 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 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Job loss & depression — 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 Silent hypertension — 1 in 2.7 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 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 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 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 At-fault injury crash — 1 in 2.9 Deer collision — 1 in 2.7 Car-crash injury — 1 in 2.6 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 2.3 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 9.8 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 Iron gap (women) — 1 in 3.9 Vitamin D gap — 1 in 2.9 Magnesium gap — 1 in 1.9 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 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Housing crash — 1 in 8.3 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.7 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 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 Problem-tenant loss — 1 in 1.8 LASIK complications — 1 in 100 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 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 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 Wisdom-tooth surgery — 1 in 22 Dental tourism complication — 1 in 20 Elderly abandonment — 1 in 20 Parkinson's — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Non-Alzheimer's dementia — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Indoor cooking smoke — 1 in 13 Untreated depression — 1 in 13 Soda and diabetes — 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 Parent death/disability — 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 26 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 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 50 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Child crash injury — 1 in 27 Drowsy driving — 1 in 26 Cruise ship norovirus — 1 in 24 E-scooter injury — 1 in 10 Pickpocketed while traveling — 1 in 38 Catalytic converter theft — 1 in 37 Knife-involved 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 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Restaurant food poisoning — 1 in 58 B12 deficiency — 1 in 28 Vegetarian deficiency — 1 in 14 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Child swallows object (ER) — 1 in 91 Life-threatening birth (US) — 1 in 61 Childbirth death (SSA) — 1 in 55 Toddler stair fall — 1 in 37 Co-sleeping death — 1 in 36 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 Dying without heir — 1 in 100 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 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 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 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 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 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 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 709 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 159 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 357 Homicide — 1 in 339 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Bat bite & rabies — 1 in 278 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 Infant fall — 1 in 500 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 103 Caving career death — 1 in 167 EMS duty death — 1 in 909 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Lightning home fire — 1 in 461 Wildfire home destruction — 1 in 120 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 Child nicotine-pouch ingestion — 1 in 7,937 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 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Fish bone injury — 1 in 1,429 Phone/laptop battery fire — 1 in 4,545 Laundry pod ingestion — 1 in 6,494 Pool drowning — 1 in 5,882 Untreated infant hip dysplasia — 1 in 5,000 SIDS — 1 in 2,398 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 45,662 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 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 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,576 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 94,340 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 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Bee sting — 1 in 78,927 Swallowed bee/wasp — 1 in 29,155 Fatal scorpion sting — 1 in 26,110 Dog chocolate death — 1 in 13,889 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant car-seat asphyxia — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Forward-facing toddler death — 1 in 26,738 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 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 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 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 Crocodile attack — 1 in 337,838 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 Infant swing death — 1 in 714,286 Whole-grape choking — 1 in 625,000 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 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
Lottery jackpot 1 in 95,238

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