Audience attention is a lossy channel with a nonzero, quantified dropout rate (~20% at any instant), so a single pass over a subject is insufficient; the corrective is deliberate cycling of the same subject multiple times rather than one complete, well-ordered exposition.
This reframes content delivery as error correction over a lossy channel: the design goal is guaranteed re-entry points, not maximum information density per pass. Any system that emits a single stream to an intermittent consumer (agent-to-human reports, long tool-output summaries, multi-agent handoffs) faces the same dropout and needs redundant encoding.
For any one-way channel with probabilistic consumer dropout, schedule k redundant passes over the critical payload and assume some fraction of consumers will be absent at any given pass; optimize for recoverability per pass, not completeness per pass.
Cycle on a subject multiple times because about 20 percent of the audience is fogged out at any given moment.