Storage is fundamentally different between traditional solutions and Web3 approaches—not in technical complexity, but in attitude toward deletion.

In conventional systems, deletion is straightforward. Data is gone, and no one questions why or how. This logic worked smoothly in the internet era, but Web3 requires a different approach.

Web3's core demand isn't maximizing efficiency—it's verifying everything. You can't casually claim "I deleted it." You need to provide evidence: what was deleted, why, the timestamp, and what it looked like before deletion. That's real transparency.

Walrus takes an interesting approach. It doesn't treat deletion as true disappearance but as a state change. In other words, historical records remain, just marked with different statuses. Sounds like extra storage costs, right? But consider the flip side—this is precisely how trustworthy systems maintain long-term stability.

You no longer rely on someone's promise; the entire process is directly verifiable. Early on, this design might seem redundant, even inefficient. But as systems scale, you realize the true cost isn't storing bytes—it's the trust crisis caused by lost historical records.

That's where Walrus creates value: it upgrades history from passive record to core system asset. This is what Web3 storage needs to solve.