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by dfox
1164 days ago
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Smoke(/fire in general) alarms are not a good example of a thing with high specificity. You perceive it that way, but what you see is the result of somebody getting paged about it and then checking (preferably physically, but also through eg. CCTV) whether there really is an emergency situation and canceling the alarm before its escalation timeout. Apparently, for typical commercial building false fire alarms are more or less an weekly occurrence. Edit: in large scale fire alarm systems there also are rules about combinations of triggered sensors that cause immediate escalation (if there is smoke and elevated temperature in two adjacent zones, it probably is not a false alarm and such things, often it even takes into account the failure modes of the physical alarm loop wiring). This is an interesting idea for IT monitoring: page someone only when multiple metrics indicate an issue. |
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Where I was expecting the author to go:
- Clearly was talking about residential smoke detectors, not commercial. That could have been explicit.
- Smoke detectors do have a high false-positive rate but almost always at the right time. A home smoke alarm going off while I'm cooking is quite different to a smoke alarm going off when I'm sleeping. To the author's point, there are very few false positives while I'm sleeping so when they happen, I'm getting up.
Speaking of the commercial context, I wonder what sort of businesses would get a lot of false alarms and how that varies across industries.