Why sampling does not work in out-of-home verification?

It can obstruct the line of sight. These errors occur silently in the corridors, forecourts, passageways and parking structures, which share almost no operating conditions. The No Fluff Advisory breakdown regarding IAB standards shows that corridor penetration and the compliance of contact points alone reduce raw foot traffic by 36% before any other modeled factor enters the equation.

Why sampling does not work in out-of-home verification?

Digital teams intuitively extrapolate from a sample, but this approach collapses in the case of OOH, since the failure modes are local — tied to a specific breaker, cable, panel or obstacle. Ten confirmed screens in a thousand-screen network precisely confirm that ten screens worked; the remaining 990 are unmeasured, not inferred. Therefore verification must be device-level, not statistical. Backend systems cannot reconstruct the facts that were never recorded at the edge network: if nothing on the device independently confirmed that a frame appeared on a powered, visible display, that information does not exist in the downstream branch. As the No Fluff Advisory notes, a player that reports what it intended to do, and a device