Dashboard
Delay buckets make the registry look less like one backlog and more like a timing-stratified reporting system.
0-year no results
85.7%
Fast-cycle studies
0-year ghosts
54.1%
Neither visible
6-10-year no results
57.6%
Longer-cycle benchmark
6-10-year visible
24.7%
Results plus publication
No-results by delay
The fastest operational bucket is the worst reporting bucket in the series.
The main comparison is across delay buckets because it turns dates into a clear operational-timing signal.
Ghost protocols by delay
Ghost protocols decline steadily as delay lengthens, suggesting fast-cycle studies are not simply publishing elsewhere.
The ghost metric keeps the focus on total visible absence rather than missing results alone.
Purpose contrast
Treatment studies improve sharply as delay lengthens, while unlabeled-purpose studies stay poor even with longer lag.
This keeps the delay page tied to design structure rather than leaving it as a pure date story.