Faster After a Weak Video: Platform Signals and Upload Timing on YouTube

How do creators adapt when their work underperforms? In a within-channel panel of 9985 consecutive transitions from 57 technology channels, relative performance and upload timing are systematically related. A video that does worse than its channel’s recent average is followed by a shorter interval to the next release and by a semantically more distant release. The content response is specific to underperformance. Equally large positive deviations do not predict a comparable shift. The content results use the views-based signal alone. Neither association is detectable one transition further out, which is a descriptive horizon rather than a demonstrated stopping point. The timing association appears in three performance measures, but a shortfall and an equally large surplus cannot be told apart. The results survive rich past-only controls, flexible specifications, and a channel-specific forecast of publishing rhythm. Because performance was measured in a settled snapshot after both events, the data cannot separate a response to performance from reverse causality or a shared production state. The regularity and the identification template are both transferable.