The devil in the financial markets often hides in the details. Imagine this scenario: a node operator of a certain oracle manually updates price data, and an accidental typo causes the BNB quote to become $0.000006—an asset originally valued at $600 suddenly marked as nearly zero. What happens when this absurd number is pushed onto the chain? Smart contracts have no compassion; they only see the data. Once a collapse in collateral value is detected, the liquidation engine immediately kicks in. Your position is gone within seconds. By the time the error is discovered and corrected, it’s already too late—the transactions on the blockchain cannot be rolled back.

Such "fat-finger" errors are common in financial history, but in the on-chain world, they are amplified infinitely. That’s why we must take them seriously.

**How can oracles defend against such basic errors?**

The core solution is multi-signature (Multisig) combined with a decentralized oracle network. For example, solutions like Chainlink do not rely on a single node’s quote but aggregate data from multiple independent nodes. When one node reports $0.000006 and others report $600, a median algorithm automatically filters out this anomaly. Probabilistically, the chance of multiple nodes erring simultaneously drops exponentially.

But that’s not enough. As a user, my response plan is more straightforward:

**First, don’t be fully leveraged.** Never commit all your chips to a single protocol. This is the most fundamental risk management wisdom.

**Second, diversify protocols.** Allocate funds across different lending protocols—some in one, some in another. The probability that multiple protocols experience oracle failures simultaneously is already quite low, let alone three or four.

**Third, diversify over time.** Don’t go all-in at the same moment; stagger your deployments. Even if an anomaly occurs at a certain point, only part of your position is affected.

The essence of oracle security is a matter of probability. There is no absolute safety, but through redundancy design and personal risk management, we can reduce the likelihood of bad events to an acceptable level.