Crime Clock One Offense Interval Lookup
Aggregate crime-clock average interval under actual recording duration; not regularly timed offenses, personal victim risk or predictive timer.
Description
A crime clock expresses observation duration divided by recorded offenses.
A crime clock expresses observation duration divided by recorded offenses.1
It is an aggregate mean interval rather than a prediction of the next event. Use this tool to calculate the stated observation or conditional model from supplied measurements.
When to use Crime Clock One Offense Interval Lookup
Use this tool to calculate the stated observation or conditional model from supplied measurements. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use Crime Clock One Offense Interval Lookup and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter verifiedRecordedOffenses, matchedObservationDurationSeconds, using the field meanings and rules below, then run the tool.
- Read result.observedMeanSecondsPerRecordedOffense. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| verifiedRecordedOffenses | Verified recorded offenses | number | Required |
| matchedObservationDurationSeconds | Matched observation duration seconds | number | Required |
Require positive recorded offenses and positive matched observation duration in seconds. Divide duration by offenses for an observed mean seconds-per-offense; fractional values are allowed. No event spacing distribution or next-event time is inferred.
meanSecondsPerOffense=observationSeconds/recordedOffenses Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.observedMeanSecondsPerRecordedOffense | Observed Mean Seconds Per Recorded Offense; use the units, sign convention and calculation stated above | number |
{
"input": {
"verifiedRecordedOffenses": 100,
"matchedObservationDurationSeconds": 10000
},
"output": {
"result": {
"observedMeanSecondsPerRecordedOffense": 100
}
}
}Limitations and assumptions
It is an aggregate mean interval rather than a prediction of the next event. Results depend on the independently established measurement basis and the exact model assumptions above.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Crime Rate Per 100K Standardization Calculator to examine a related aspect: A standardized crime rate relates recorded offenses to population exposure.
Use Victimization Rate Per 1000 Survey Style Calculator where its separate inputs and scope apply: Victimization rates compare surveyed events with a matched exposure denominator.
References
-
Crime Clock One Offense Interval Lookup — tool.io
Similar or alternative tools
- Crime Rate Per 100K Standardization Calculator
A standardized crime rate relates recorded offenses to population exposure.
- Victimization Rate Per 1000 Survey Style Calculator
Victimization rates compare surveyed events with a matched exposure denominator.