# ragged edge concept

I'm confused by the concept of the ragged edge in real-time data analyses.

I understand that data for $$x_t$$ comes in various forms: a first estimate, a series of additional estimates and, after some time, a final value for $$x$$ in period $$t$$ which the statistical agency takes as the `truth'.

But this seems to be quite different from what I read about the ragged-edge problem since that seems to suggest that some data series won't be available (missing) in certain periods.

Would appreciate some clarification from anyone.