#dusk $DUSK @Dusk Last night I was comparing DUSK burn data and noticed something slightly annoying: the ratio changed depending on where I started the 24-hour window.
That sounds like a small accounting detail. It isn’t.
A midnight-to-midnight calendar day can show one burn story, while a rolling 24-hour window starting six hours later can show another. If one short DUSK burn spike sits near the cutoff, shifting the window can either capture most of it or split it across two periods.
So peak burn ratio alone tells me less than I first thought.
What matters more is whether the burn rate holds up over time. I’d look at how long DUSK stays above a useful burn-to-reward level, how much the ratio moves between rolling windows, and whether the bigger burn periods keep showing up. A 30% spike for one hour is not the same as 16% spread across most of the day.
This is basically peak activity vs durable system pressure.
I would also watch the standard deviation across multiple rolling windows. If 24 different start times produce wildly different ratios, DUSK burning may still be event-driven rather than structurally stable.
The uncomfortable question is simple: are we measuring genuine token destruction pressure, or just choosing a window that makes the latest burn event look important?
That sounds like a small accounting detail. It isn’t.
A midnight-to-midnight calendar day can show one burn story, while a rolling 24-hour window starting six hours later can show another. If one short DUSK burn spike sits near the cutoff, shifting the window can either capture most of it or split it across two periods.
So peak burn ratio alone tells me less than I first thought.
What matters more is whether the burn rate holds up over time. I’d look at how long DUSK stays above a useful burn-to-reward level, how much the ratio moves between rolling windows, and whether the bigger burn periods keep showing up. A 30% spike for one hour is not the same as 16% spread across most of the day.
This is basically peak activity vs durable system pressure.
I would also watch the standard deviation across multiple rolling windows. If 24 different start times produce wildly different ratios, DUSK burning may still be event-driven rather than structurally stable.
The uncomfortable question is simple: are we measuring genuine token destruction pressure, or just choosing a window that makes the latest burn event look important?