⏱ Time-of-Death Multi-Method Triangulation Simulator
This simulation combines multiple methods (temperature, entomology, gut contents) to refine the estimation of time of death. It integrates data from different sources to provide a more accurate determination of when a person died, enhancing forensic analysis.
Single Methods Give Conflicting Windows
No single clue pins down time of death precisely on its own.
- 3: Methods commonly combined (Temperature, insects, and stomach contents together.)
- ±6–12h: Typical single-method error (Wide ranges limit investigative usefulness alone.)
- 12+: Variables affecting each method (Weather, clothing, meal size all shift results.)
- Growing: Forensic entomology case use (Insects increasingly used in death investigations.)
Why estimates disagree
Each method measures a different biological clock.
Temperature, insects, and digestion decay at very different rates.
Environmental noise
Ambient temperature and body condition distort every method differently.
Why triangulate at all
Combining independent clues shrinks the plausible time window.
Temperature-Based Time Since Death
Body temperature drops toward ambient in a predictable cooling curve.
- ~0.8°C/h: Average cooling rate (Slows as body nears room temperature.)
- 0–24h: Useful window (Precision fades once equilibrium is reached.)
- Henssge: Key formula (Nomogram estimates hours from core temperature.)
- Clothing, wind: Major confounders (Insulation and airflow change cooling speed.)
The cooling curve
Core temperature falls in a sigmoid curve, not a straight line.
Cooling is slowest right after death and right before equilibrium.
Reading the nomogram
Body weight and ambient temperature correct the raw cooling estimate.
Where it breaks down
Past roughly a day, the body matches ambient and the clue vanishes.
Insect Development as a Biological Clock
Insect colonization follows a predictable, temperature-driven sequence.
- Blowflies: First colonizers (Often arrive within minutes of death outdoors.)
- Days to weeks: Useful window (Covers ranges temperature alone cannot reach.)
- Larval instar: Key measure (Growth stage of maggots present on remains.)
- Season, access: Major confounders (Weather and indoor burial delay colonization.)
Succession waves
Different insect species arrive in a predictable order over time.
Species turnover on a body works like a calendar.
Larval growth curves
Maggot size and stage map to hours since egg-laying began.
Where it breaks down
Cold weather or sealed indoor scenes delay or block colonization.
Stomach Contents and Digestion State
Digestion proceeds in a rough, predictable sequence after a meal.
- 4–6h: Typical full emptying (Normal stomach clears a standard meal.)
- 0–12h: Useful window (Best for time since the last meal.)
- Meal residue: Key measure (Volume and texture of remaining stomach content.)
- Stress, meal size: Major confounders (Fear and fat content both slow emptying.)
The emptying sequence
Solid food breaks down and clears the stomach in stages.
This clock measures the last meal, not death directly.
Combining with witness accounts
Known mealtimes convert digestion state into a death time estimate.
Where it breaks down
Stress, illness, and alcohol all distort normal emptying speed.
Converging on One Confident Window
Overlapping the three independent ranges narrows the true estimate.
- ~2–4×: Combined precision gain (Overlap narrows the window versus any method alone.)
- Full overlap: Ideal case (All three ranges agree on a tight window.)
- No overlap: Poor case (Disagreement signals a confounding variable somewhere.)
- Reasonable range: Court standard (Estimates are presented as a bounded window.)
Why triangulation works
Independent errors rarely align, so the overlap zone is tighter.
Agreement between unrelated methods raises confidence sharply.
Handling disagreement
A missing overlap prompts investigators to question one method.
Reporting the final estimate
Investigators report a bounded window, never a single exact hour.
This simulation combines multiple methods (temperature, entomology, gut contents) to refine the estimation of time of death. It integrates data from different sources to provide a more accurate determination of when a person died, enhancing forensic analysis.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install