🚨#Binance have just proven that they are either absolute scammers or completely out of control.
An absolutely amateur response to an event that caused countless billions in damage.
Sad enough that they only addressed this after backlash from two thirds of CT.
But here is where it gets interesting:
Binance’s article reads like a post mortem....a liability minimization document wrapped in technical language.
A real post mortem after a systemic liquidation cascade would contain raw engine data, time series evidence, and verifiable audit trails.
Binance provides none of that. What they provide is a story that cannot be verified without the exact datasets they refuse to release.
Let me start with the structural reality they avoid naming:
When most exchanges lose order book depth and Binance does not, Binance stops being a participant in the market.
Binance becomes the market’s price oracle. In that situation, prices printed on Binance are not reactions to a crash. They are the inputs that trigger liquidations everywhere else.
That is systemic price authority. And that is where the uncomfortable questions begin.
They admit that from 21:18 to 21:51 UTC, their internal asset transfer subsystem degraded. Users could not reliably move collateral between spot, earn, and futures during the most violent phase of the event.
For a leveraged system, this is catastrophic. Liquidation logic assumes that users can add margin.
If the platform itself prevents this, liquidations are infrastructure driven.
They frame this as a database caching issue under 5 to 10 times load.
That is a capacity planning and architecture failure in the exact subsystem that determines whether users live or get liquidated.
Then they admit that the index methodology for USDe, WBETH, and BNSOL was overweight to their own order books, insufficiently anchored to reference markets, and had weak outlier guards.
These assets are used as collateral in derivatives. If the index drifts under stress, liquidation triggers drift with it. This is a broken price oracle feeding a liquidation engine!
They also admit that near zero prints occurred because ancient resting orders from 2019 were matched in thin liquidity.
That means there were no effective price band protections, no dynamic circuit breakers, and no safeguards against pathological prints in illiquid books.
Afterward, they attempted to visually “optimize” how these events appear on charts. Even if no trade data was altered, this shows priority placed on perception rather than forensic transparency.
❗Now look at what they do not publish:
No full mark price history per second.
No index component logs with weights and timestamps.
No liquidation and ADL trigger logs.
No record of risk parameter states and whether they were frozen or altered during the event.
No matching engine versioning or deployment record.
No latency and error rate telemetry across subsystems.
No insurance fund transaction trail.
No proof that internal or affiliated desks were not net sellers into cascading liquidations.
No independent forensic audit.
Without this, every claim they make is unfalsifiable❗
They repeatedly state that 75 percent of liquidations happened before the token depegs at 21:36 UTC. This is a misdirection. The earlier critical failure is the transfer subsystem degradation starting at 21:18 UTC.
Users were already unable to reposition collateral before the index deviations even began.
They cite Kaiko data to show that other exchanges had near zero liquidity. This actually strengthens the systemic risk argument. If others are empty and Binance is not, then Binance’s internal state determines global liquidation pricing.
Then comes the contradiction they never resolve:
They insist this was a macro driven event. Yet they paid over 328 million USD in compensation and launched a 400 million USD support and loan program.
Institutions probably do not receive emergency loan facilities because of macro volatility.
This entire narrative avoids the central technical truth.
On October 10, Binance functioned as the dominant price oracle, operated with a degraded collateral transfer path, used indices overweight to its own stressed order books, lacked safeguards against pathological prints, and fed all of this into a highly leveraged liquidation engine.
Again: That is a central system whose internal state directly influenced who got liquidated across the industry.
It is the data that would show, second by second, how the engine behaved when it mattered.
It is a black box with market power asking for trust.
