What a Safety Signal Looks Like Before Anyone Confirms It | Visual AI Learning Guide

Look at the points first, then the line. Most measurements sit inside the expected range, and that is normal. What matters is the cluster that starts drifting above the upper boundary — not one dramatic spike, but a sustained pattern. The threshold line is where accumulated evidence crosses from ordinary variation into something worth flagging. Notice what the flag does not do: it does not say what is wrong or that harm has occurred. It says a person should look now. That distinction is the whole point — early flagging is valuable precisely because it arrives while the pattern is still uncertain and still cheap to investigate.

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A safety signal is a pattern in the data that stands out enough to deserve a closer look. It is not a proven harm, and treating it as one would be a mistake. What continuous monitoring does is raise the pattern to attention early, while the evidence is still thin and the situation can still be investigated cheaply.

The diagram shows a stream of measurements plotted over time against an expected range. Most points sit inside the range. At some point, several points begin to cluster above the upper boundary — not a single dramatic spike, but a sustained drift. The threshold line marks where the accumulated evidence crosses from ordinary variation into something worth flagging. The flag does not say what is wrong. It says: this pattern is unusual enough that a person should look at it now rather than at the next scheduled review.