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Research Institute · Est. 2031

Center for Alarm Fatigue

"The alarm is sounding. We are aware. We will address it shortly."

A smoke detector — present, installed, and currently being ignored.

The Center for Alarm Fatigue is a research institute studying the phenomenon of ignoring alarms. Not metaphorical alarms — literally all alarms. Car alarms nobody investigates. Smoke detectors removed because they go off when you cook. Email notifications that accumulate unread. Calendar reminders that get dismissed. The "check engine" light, present and unaddressed for months.

And, increasingly, the broader cultural phenomenon of ignoring warnings about things that matter because there have been too many warnings about things that don't. We study this. We publish research. We hold a symposium. The symposium has a registration deadline we extend annually because most attendees miss it.

Current Research Areas

The Normalization of Persistent Alerts

How people adapt to ongoing alarm conditions by treating them as ambient rather than actionable. The smoke detector that beeps once every 47 seconds for three weeks before anyone changes the battery.

Warning Inflation and Credibility Collapse

When warnings are issued about everything, warnings about important things are processed identically to warnings about unimportant things. We are documenting the collapse rate.

The Snooze Button as Decision Architecture

An exploration of snooze button usage patterns and what they reveal about the human relationship to time, obligation, and optimism. Average number of snoozes before getting up: 3.4. Average number of snoozes before being actually late: 1.

Digital Notification Saturation

The average smartphone user receives 65 to 80 notifications per day. We are studying the point at which additional notifications produce negative alertness. We believe we have passed that point. We have data.

Institutional Warning Fatigue

Organizations issue internal warnings: compliance deadlines, risk flags, project red indicators. We are studying how institutional warning systems become self-defeating when they are used too frequently.