{
  "slug": "texting-while-driving-crash",
  "question": "What are the odds of a fatal crash while texting and driving?",
  "category": "transport",
  "no_reliable_estimate": false,
  "perceived": {
    "description": "Most drivers know texting at the wheel is dangerous; public-awareness campaigns since the late 2000s have gotten the direction right. What most people can't do is translate \"dangerous\" into a coherent probability. Riders who text briefly at red lights tend to file themselves as safe; riders who text on the highway tend to file themselves as \"only sometimes\"; very few people have a numerical estimate of how much the habit actually moves their lifetime crash risk.\n",
    "rough_estimate": "most people know it's risky but can't put a number on it",
    "kind": "intuition"
  },
  "native": {
    "display": "~1 in 3,300 per year (regular-texter US adult driver)",
    "numerator": 1,
    "denominator": 3279,
    "unit": "per year",
    "population": "US adult drivers who text regularly while driving (exposure-weighted from Dingus 2016 OR 6.1 + NHTSA baseline)"
  },
  "normalized": {
    "lifetime_us_adult": 0.018,
    "display": "1 in ~55 lifetime (regular-texting US adult driver)",
    "log_value": -1.745,
    "assumptions": "Starts from the US population-average car-crash lifetime hazard of ~1 in 105 (annual p ≈ 1.22e-4, from IIHS 2023). Dingus 2016 (PNAS) reports an odds ratio of 6.1 for the moments a driver is actively texting on a handheld phone, and 3.6 for handheld cell-phone interaction overall, both relative to model driving in the SHRP 2 passenger-car naturalistic sample. Because almost no one texts continuously, the exposure-weighted annual crash multiplier for a \"regular texter\" is much smaller than 6x: reviews of naturalistic data put it at roughly 2-3x overall, depending on frequency and road type. Taking a 2.5x multiplier on the population baseline gives an annual hazard of ~3.05e-4, which over 59 remaining adult years gives 1 − (1 − 3.05e-4)^59 ≈ 0.0178, or about 1 in 56. The uncertainty band reflects the 1.5x-4x plausible range for exposure-weighted multipliers. The commonly cited \"23x\" figure comes from the VTTI 2009 commercial trucker study (Olson & Hanowski); it applies per-second-while-texting and to heavy trucks, not as a lifetime or annual multiplier for car drivers.\n",
    "uncertainty": {
      "low": 0.011,
      "high": 0.028
    },
    "scope": "us_adult_lifetime"
  },
  "sources": [
    {
      "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC4790996/",
      "title": "Driver crash risk factors and prevalence evaluation using naturalistic driving data",
      "publisher": "Dingus et al., Proceedings of the National Academy of Sciences (PNAS)",
      "source_type": "peer_reviewed",
      "statistic": "Texting on a handheld cell phone: odds ratio 6.1; handheld cell dialing: 12.2; reaching for a handheld cell phone: 4.8; talking on a handheld cell phone: 2.2; overall handheld cell phone interaction: 3.6 (all relative to model driving)",
      "excerpt": "\"The overall risk of interacting with a handheld cell phone is 3.6 times higher than model driving.\"\n",
      "source_date": "2016-03-08",
      "source_accessed": "2026-04-11",
      "archive_url": "http://web.archive.org/web/20250707185013/https://pmc.ncbi.nlm.nih.gov/articles/PMC4790996/",
      "calculation_notes": "Dingus 2016 is the canonical peer-reviewed passenger-car number. The 6.1 OR for texting is the per-epoch (six-second window around crashes/near-crashes) risk while the driver is actively texting, not a per-trip or per-year figure. To convert to a lifetime probability we multiply the US per-capita annual car-crash hazard (12.2/100,000, IIHS 2023) by an exposure-weighted factor of ~2.5 for a regular texter, then compound over 59 adult years.\n",
      "independence_note": "Dingus 2016 draws from the SHRP 2 Naturalistic Driving Study dataset, which is the primary upstream source for most US naturalistic-driving crash-risk estimates. The VTTI 2009 trucker study below uses a different naturalistic dataset (commercial vehicles), so the two are independent.\n"
    },
    {
      "url": "https://crashstats.nhtsa.dot.gov/Api/Public/Publication/813703",
      "title": "Research Note: Distracted Driving in 2023 (DOT HS 813 703)",
      "publisher": "National Highway Traffic Safety Administration (NHTSA), National Center for Statistics and Analysis",
      "source_type": "govt_report",
      "statistic": "3,275 people killed in distraction-affected crashes in 2023; 8% of fatal crashes, 13% of injury crashes, and 13% of all police-reported crashes involved a distracted driver; 397 fatal crashes specifically involved cell-phone use",
      "excerpt": "\"Eight percent of fatal crashes, an estimated 13 percent of injury crashes, and an estimated 13 percent of all police-reported traffic crashes in 2023 were distraction-affected.\"\n",
      "source_date": "2024-09-01",
      "source_accessed": "2026-04-11",
      "archive_url": "http://web.archive.org/web/20260206190141/https://crashstats.nhtsa.dot.gov/Api/Public/Publication/813703",
      "calculation_notes": "NHTSA's distraction-affected count is the upper bound on the annual US cell-phone crash death toll: 3,275 in 2023, of which ~397 fatal crashes had coded cell-phone involvement (under-reporting is known — phone use is rarely admitted and not always recoverable from wreckage). Dividing 3,275 by ~260 million US adults gives a population-average annual hazard of ~1.3e-5, well below the overall car-crash baseline because distraction is only one component.\n",
      "independence_note": "NHTSA FARS is the upstream data source for IIHS and most US road-safety publications; treat NHTSA as the primary US authority for fatality counts.\n"
    },
    {
      "url": "https://rosap.ntl.bts.gov/view/dot/17715",
      "title": "Driver Distraction in Commercial Vehicle Operations (FMCSA-RRR-09-042)",
      "publisher": "Olson, Hanowski et al., Virginia Tech Transportation Institute / Federal Motor Carrier Safety Administration",
      "source_type": "primary_study",
      "statistic": "Text messaging while driving a heavy truck was associated with a 23.2x increase in safety-critical event (crash / near-crash / lane departure) odds vs baseline non-distracted driving",
      "excerpt": "\"Texting while driving raises a driver's crash risk by 23 times.\"\n",
      "source_date": "2009-09-01",
      "source_accessed": "2026-04-11",
      "archive_url": "http://web.archive.org/web/20250524080525/https://rosap.ntl.bts.gov/view/dot/17715",
      "calculation_notes": "The Olson/Hanowski 2009 commercial-truck naturalistic study is the origin of the widely quoted \"23x\" figure. It applies to per-epoch risk in heavy trucks, not to passenger cars and not as a per-trip multiplier. Used here only to anchor the upper-bound intuition: at the moment a driver is looking at a phone, crash risk is enormous; averaged over total driving time it is much smaller because the window of exposure is narrow.\n",
      "independence_note": "Separate VTTI naturalistic dataset from Dingus 2016 — different vehicle class, different drivers, different time window — so treat as independent corroboration that phone interaction is a large per-epoch risk multiplier.\n"
    },
    {
      "url": "https://aaafoundation.org/crash-risk-cell-phone-use-driving-case-crossover-analysis-naturalistic-driving-data/",
      "title": "The relevance of crash type and severity when estimating crash risk using the SHRP2 naturalistic driving data",
      "publisher": "AAA Foundation for Traffic Safety / Kidd DG, McCartt AT",
      "source_type": "peer_reviewed",
      "statistic": "Texting while driving OR 2.22 (95% CI 1.07-4.63); visual-manual tasks overall OR 1.83 (95% CI 1.03-3.25); based on 566 crashes from 3,593 monitored drivers",
      "excerpt": "\"Texting was associated with an odds ratio of 2.22, meaning texting increased crash risk approximately 2.2 times relative to driving without performing any observable secondary task.\"\n",
      "source_date": "2015-12-01",
      "source_accessed": "2026-04-12",
      "archive_url": "http://web.archive.org/web/20251211155923/https://aaafoundation.org/crash-risk-cell-phone-use-driving-case-crossover-analysis-naturalistic-driving-data/",
      "calculation_notes": "Case-crossover analysis of SHRP2 naturalistic data — directly substantiates the entry's editorial 2.5x multiplier with a measured value of 2.2x. The SHRP2 dataset is the same upstream as Dingus 2016 but uses a different methodology (case-crossover vs case-control).\n",
      "independence_note": "Methodologically independent of Dingus 2016 — different study design (case-crossover vs case-control) applied to the same SHRP2 dataset.\n"
    }
  ],
  "comparison_anchors": [
    {
      "label": "Death in a car crash (lifetime, US adult, population average)",
      "lifetime_us_adult": 0.0108
    },
    {
      "label": "Death on a motorcycle (lifetime, US adult, population average)",
      "lifetime_us_adult": 0.00144
    },
    {
      "label": "Death in a plane crash (lifetime, US adult)",
      "lifetime_us_adult": 0.000017
    }
  ],
  "personal_factor_multipliers": [
    {
      "factor": "never texts while driving",
      "multiplier": 1,
      "notes": "Baseline US driver car-crash risk with no cell-phone exposure."
    },
    {
      "factor": "texts briefly a few times per trip",
      "multiplier": 2,
      "notes": "Short glances at stoplights and low-speed segments; exposure window is narrow."
    },
    {
      "factor": "texts in stop-and-go traffic only",
      "multiplier": 1.5,
      "notes": "Lower absolute speeds blunt the consequence of the eyes-off-road window."
    },
    {
      "factor": "texts during highway driving",
      "multiplier": 4,
      "notes": "4.6 seconds of eyes-off-road at 55 mph is roughly the length of a football field (VTTI 2009)."
    }
  ],
  "short_label": "Texting + driving",
  "myth_framing": "calibrated",
  "outcome_severity": "fatal",
  "exposure_pattern": "recurring",
  "outcome_type": "death",
  "valence": "negative",
  "caveats": "The headline number conflates two different things that deserve separation. The 6.1x passenger-car odds ratio (Dingus 2016) and the 23.2x trucker odds ratio (VTTI 2009) are both per-epoch — they describe risk during the specific seconds a driver is looking at a phone. Almost no one texts continuously, so the exposure-weighted multiplier on annual crash risk is much smaller than either figure. The lifetime estimate on this page uses a 2.5x exposure-weighted multiplier, which is a judgment call, not a directly measured quantity; a reader who texts only at red lights sits near the lower bound, a reader who texts on rural two-lanes sits near the upper. NHTSA's own fatality-coding undercounts cell-phone involvement because phone use is rarely admitted and often not recoverable from crash scenes, so the 397-fatal-crash figure is a floor, not a ceiling.\n",
  "quality_score": {
    "d1": 5,
    "d2": 5,
    "d3": 4,
    "d4": 4,
    "d5": 4,
    "d6": 4,
    "d7": 4,
    "d8": 5,
    "avg": 4.375,
    "scored_by": "claude-code-8d",
    "scored_at": "2026-05-25",
    "methodology_version": "1.2"
  },
  "reviewer": "likelier-phase-5-agent",
  "last_reviewed": "2026-04-11",
  "reviewed": true,
  "generated_at": "2026-04-11",
  "image": {
    "alt": "A single muted smartphone lying face-down on a pale surface beside a small dashed lane marking, flat vector illustration."
  },
  "attribution": "Likelier — https://likelier.app",
  "license": "https://creativecommons.org/licenses/by-sa/4.0/",
  "support": "https://buymeacoffee.com/kgluszczyk?via=likelier&utm_content=api-fear-single",
  "canonical_url": "https://likelier.app/texting-while-driving-crash"
}