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Incident Detection with Dynamic Thresholds

This article discusses the number of incidents you can expect to observe when using Dynamic Thresholds for your validator.

The number of incidents created by the Dynamic Thresholds depends on the window size, sensitivity, and number of segments. As the window size decreases and sensitivity increases, the algorithm identifies more anomalies. This behavior reflects the trade-off between the granularity and the sensitivity of the detection process: Larger windows and lower sensitivity yield fewer incidents, while smaller windows and higher sensitivity result in a greater number of detected anomalies.

The following tables show the number of detected incidents you can expect the Dynamic Threshold to generate for the next 7-day period. You can use these numbers to estimate how many incidents you will receive from your validators depending on different windows, sensitivities, and number of segments.

Expected Number of Incidents (next 7 days)

Tumbling Window
Type
Segments=100
Sensitivity=2
Segments=200
Sensitivity=2
Segments=500
Sensitivity=2
Segments=1500
Sensitivity=2
daily0126
hourly91844133
10 minute53106265800
5 minute1062125311600

Tumbling Window
Type
Segments=100
Sensitivity=4
Segments=200
Sensitivity=4
Segments=500
Sensitivity=4
Segments=1500
Sensitivity=4
daily132665194
hourly3106211 5524 655
10 minute1 8623 7249 30927 928
5 minute3 7247 44818 61055 856

For more information, see About Validator Incidents and About Thresholds.