Predeclare review triggers across repeated observations
A monitoring plan should specify what observation triggers review, what confirms the signal and who is authorized to revise action. Looking repeatedly for an unusual result creates more opportunities for a false alarm. That statistical issue is distinct from the ecological consequences of missing a true problem.
Learning outcome: Compare one,six and twelve looks at 0.05. Explain the independence limitation, then write a review/confirmation/escalation rule without presenting this toy alpha as a regulatory threshold.
Starting recap
Preserve packet identity, independent units, analysis recipe, outcome constraints and review authority; distinguish scientific uncertainty from stakeholder value choices.
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At per-look 0.05 and six independent looks, at-least-one false alarm is 1−0.95⁶≈0.26491. The dependence-agnostic union bound is 0.30. For a total target 0.05, Bonferroni per-look level is 0.05/6≈0.008333.
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Bonferroni family control fundamentally uses:
Experiment
Compare one,six and twelve looks at 0.05. Explain the independence limitation, then write a review/confirmation/escalation rule without presenting this toy alpha as a regulatory threshold.
Predeclare repeated-look error accounting
Worked teaching model · synthetic values · All no-change nulls true. Independent looks give at-least-one false alarm 1−(1−α)^m. Without independence, union bound≤min(1,mα). To allocate a total family target equal to the chosenα, Bonferroni per-look levelα/m. No actual regulatory trigger or assumption that serial environmental observations are independent.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| False-alarm probability per look | 0.05 | fraction |
| Planned looks | 6 | looks |
| Independent-look at-least-one false alarm | 0.2649081 | fraction |
| Union-bound upper limit without independence | 0.3 | fraction |
| Bonferroni per-look level for total target alpha | 0.008333333 | fraction |
Repeated unadjusted opportunities to trigger increase the chance of at least one false alarm.
Environmental time series are often correlated, so the independence expression is a scenario, not an automatic field estimate. Predeclare review thresholds, confirmation evidence and safety/escalation responsibilities; statistical alarm control does not replace ecological consequence assessment.
Predict, change one control, and retain contrasting captures. Reconstruct the analysis and decision rule before opening feedback. Display precision is not measurement precision.
Repeated unadjusted opportunities to trigger increase the chance of at least one false alarm.
Environmental time series are often correlated, so the independence expression is a scenario, not an automatic field estimate. Predeclare review thresholds, confirmation evidence and safety/escalation responsibilities; statistical alarm control does not replace ecological consequence assessment.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
At per-look 0.02 and ten looks, calculate independent family probability, union bound and per-look level for total target 0.02.
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