#binancep2pantoan @Binance Vietnam
Today I am digging deeper into Binance and Completion Rate on P2P - how a number that seems so simple can actually say very little about a merchant’s real level of reliability.

The technical part makes sense to me. But what really made me stop was looking at the sample size and the time period in which that number was generated.

I look at the actual data instead of just looking at a percentage.

99% after 5,000 trades, 99% after 200 trades, along with the number of trades and Completion Rate over 30 days.

Wait! They are both 99%, but the depth of history and level of real-world experience are completely different.

A merchant who has gone through thousands of trades has faced far more types of counterparties, situations and events. Meanwhile, a high rate on a small sample may only reflect a short period.

That is the real gap that makes me think.

I am not saying Binance is flawed here.
Completion Rate still works exactly as designed.
The question is whether a percentage can truly reflect the current person behind that merchant account.

This makes me think of looking at a snapshot and then trying to judge an entire person.

The number may look good, but if we do not know how many trades it came from, what period it covers and how long ago it happened, we are still only looking at the surface.

And this is the part worth paying attention to: the most important signals may not be entirely visible on the screen. Completion Rate is only the first step. Behind it is an entire layer of data and behavior that ordinary users never see.

Are we putting too much trust in a good-looking number?
Or should Completion Rate simply be the starting point before we actually dig deeper into a merchant’s reliability?
$KII $AEON $PRL
#BNBChainToActivatePasteurHardFork #USJulyRetailSalesFall0.6% #SanDiskRises7%OnRevenueGrowthOutlook #SanDiskRises7%OnRevenueGrowthOutlook