Lesson 1
Ambiguity in Signal Detection
Judgment when signals are weak, noisy, or conflicting.
Start2 Micro-lessons
Micro lesson 1
When Noise Mimics a SignalMicro lesson 2
Conflicting Detections Across ObservatoriesLesson 2
Systemic Limits and False Positives
Recognizing when system improvements create new risks.
Start2 Micro-lessons
Micro lesson 1
Overfitting Detection AlgorithmsMicro lesson 2
System Upgrades and Unintended BiasLesson 3
Long-Term Calibration and Drift
Detecting slow loss of accuracy and the cost of over-correction.
Start2 Micro-lessons
Micro lesson 1
Slow Drift in CalibrationMicro lesson 2
Overcorrecting After Missed Events