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// distribution · 8 min · 2026-05-04

The distribution fan

Why one piece of content posted across 400 accounts behaves nothing like the same piece on one account.

By L. Mercer

One clip on one account is a single draw from the platform's recommendation lottery. Most draws return small numbers; a few return very large numbers. Brands building on a single channel are buying one ticket per content drop and hoping.

Clipping changes the unit of the draw. The same clip, posted from 400 accounts, is 400 independent draws on what is essentially the same lottery. The expected value of any single draw doesn't change. But because the underlying distribution has a heavy right tail, your chance of landing at least one big winner goes from 'occasionally' to 'pretty much every campaign'.

The thing this looks like in practice is a distribution graph that fans out. Most of the 400 versions of a clip do small numbers — 1,000-10,000 views. A handful do 50,000-200,000. One or two land in the millions. The campaign total is dominated by the top few, but you cannot pick them in advance — and that's exactly why posting on one account doesn't work.

We track this on every campaign. The shape is consistent: roughly 70% of total views come from the top 10% of clips. The remaining 90% of clips matter because they're the lottery tickets that bought the chance of the top 10% happening. Without volume, the right tail is just an unrealized statistic.

What this means for budget: a campaign that's running 80 clips/month at $3 CPM is buying the option of one or two seven-figure-view clips. That's not what the line item looks like in the proposal, but it's what the underlying physics is.

And it's why we don't measure ourselves by 'best clip' metrics. The best clip is, statistically, somebody's nephew. The metric that matters is the median of the top decile across the campaign, because that's the population that's actually doing the distribution work.

The math nobody runs: posting the same clip to 400 accounts isn't '400× the reach'. It's '400 independent algorithmic draws from a distribution that has a heavy right tail'. The expected value isn't 400× — but the variance pays you.

More notes from the floor.

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