I stopped reading P2P profiles from the top. Now I read them backwards.
A merchant can show 99%+ positive feedback and thousands of completed orders, yet the newest five comments can tell a very different story.
That is because a rating is an average of history. Binance calculates positive feedback as positive feedback divided by total feedback. So 1,000 old positives can still leave a profile looking excellent even if several fresh complaints appeared this week. In simple terms, a long clean history can dilute a new problem before the headline percentage visibly reacts.
For me, that creates a time problem: reputation can be mathematically strong while the current risk has already changed.
Now I open the negative reviews first and look for clusters, not isolated complaints. One angry comment tells me little. But if several recent users independently mention the same issue — delayed release, requests for another bank account, or especially a bank account being frozen after the trade — I treat that as a new signal, even if the lifetime rating still looks beautiful.
What surprised me is that Binance itself seems to care about recency in a similar way. The Shield Merchant criteria include no negative feedback about counterparties' bank accounts being suspended within 90 days of trading with the merchant. That tells me the timing of feedback matters, not just the percentage.
I still check completion rate, trade count and badges. I just no longer let them end the research.
A P2P profile is not a credit score carved in stone. It is a history that keeps changing one order at a time.
The number at the top tells me what happened across hundreds or thousands of trades.
The newest negative reviews tell me what may be happening now.
That is why I no longer ask only, “Is this merchant highly rated?”
I ask, “What happened to the last few people who traded with them?”
For me, recent patterns matter more than old comfort.
#binancep2pantoan @Binance Vietnam
$EDEN
$AKE
$AVAAI
A merchant can show 99%+ positive feedback and thousands of completed orders, yet the newest five comments can tell a very different story.
That is because a rating is an average of history. Binance calculates positive feedback as positive feedback divided by total feedback. So 1,000 old positives can still leave a profile looking excellent even if several fresh complaints appeared this week. In simple terms, a long clean history can dilute a new problem before the headline percentage visibly reacts.
For me, that creates a time problem: reputation can be mathematically strong while the current risk has already changed.
Now I open the negative reviews first and look for clusters, not isolated complaints. One angry comment tells me little. But if several recent users independently mention the same issue — delayed release, requests for another bank account, or especially a bank account being frozen after the trade — I treat that as a new signal, even if the lifetime rating still looks beautiful.
What surprised me is that Binance itself seems to care about recency in a similar way. The Shield Merchant criteria include no negative feedback about counterparties' bank accounts being suspended within 90 days of trading with the merchant. That tells me the timing of feedback matters, not just the percentage.
I still check completion rate, trade count and badges. I just no longer let them end the research.
A P2P profile is not a credit score carved in stone. It is a history that keeps changing one order at a time.
The number at the top tells me what happened across hundreds or thousands of trades.
The newest negative reviews tell me what may be happening now.
That is why I no longer ask only, “Is this merchant highly rated?”
I ask, “What happened to the last few people who traded with them?”
For me, recent patterns matter more than old comfort.
#binancep2pantoan @Binance Vietnam
$EDEN
$AKE
$AVAAI