Every alert that turns out to need nothing teaches the reader that alerts can wait. Over time responses slow down, channels get muted and real incidents are found late. The term comes from healthcare, where staff exposed to constant alarms stop reacting to them.
The causes are familiar: alerts on a single failed check, thresholds set too tight, many alerts for one cause, alerts that need no action, and everything going to everyone. Each false positive adds to it.
The fixes: confirm before alerting, alert on what users feel rather than on every metric, route by urgency, silence planned work, and review alerts regularly, removing or downgrading any alert nobody acted on.