Guest Article

Lost in Translation: Eliminating the Game of Telephone with Decentralized Storage

By Ryan Levy, Head of BD and Partnerships at DataHaven Guest Writer Updated  July 10, 2025

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Summary

  • Moving data through centralized systems can alter the underlying information, resulting in the message getting distorted like a game of "broken telephone"
  • DataHaven's decentralized approach means there is no single point of failure, no mismatched versions, no tampering, and no more waiting on centralized gatekeepers

Introduction

We’ve all played the game of “telephone” or “broken telephone,” if you grew up in certain areas of the world. It starts with a simple message, like “Meet me at the library at noon.” But as it’s whispered from one person to the next, something strange happens. Words get twisted, details shift, and before you know it, the message has morphed into something completely different—“Eat beets at the dairy by moon.” What began as clear and direct has become distorted and unrecognizable. Somewhere along the way, the original meaning got lost.

Now, imagine that instead of a childhood game, this was real information—critical data being passed between systems, institutions, or even nations. What happens when the truth is altered, whether by accident or intent? When people make decisions based on a version of reality that’s been quietly reshaped along the way?

Unfortunately, this kind of breakdown happens all the time. Every time data moves through centralized systems, it’s copied, altered, or misplaced. A name gets misspelled. A file gets duplicated. A critical update doesn’t make it to the right database. And just like that, what started as clear, reliable information turns into a chaotic mess.

The Cost of Mistranslation

Mistranslated data isn’t just annoying—it can be downright disastrous. Imagine:

  • A hospital mix-up. A doctor requests a patient’s medical history, but somewhere along the way, “penicillin allergy” gets dropped from the record. That’s not just an error—that’s a lawsuit waiting to happen.
  • A finance fiasco. Your accounting team updates a pricing spreadsheet, but the sales team is still using last quarter’s numbers. Invoices go out with the wrong rates, customers get overcharged, and now you’re issuing refunds instead of celebrating new deals.
  • A shipping disaster. Your company orders 600 desk chairs. Somewhere in the system, a decimal moves, and suddenly, 60,000 units are en route. Congratulations—you now own enough Herman Millers to seat every resident of Carson City, NV.

These aren’t just technical glitches. They erode trust. They waste time. They cost money. And they all happen because traditional systems don’t have a way to ensure that data stays consistent, secure, and accurate.

That’s why at DataHaven, we’re building a single source of truth—a decentralized network where data isn’t passed through unreliable middlemen but stored securely, exactly as it was meant to be.

Decentralization: Cutting Out the Middlemen 

Instead of storing data in a handful of centralized servers—where it’s vulnerable to outages, cyberattacks, and bureaucratic bottlenecks—DataHaven distributes it across a global network. No single entity owns or controls it, meaning:

  • No single point of failure. If one server goes down, your data is still safe.
  • No mismatched versions. What you store is what you get. No more, “Wait, is this the latest version? Or, which one of these five similar versions is actually the right one?”
  • No tampering. When AI models are stored with cryptographic hashes, it guarantees that the data is unaltered and matches the original version. This means that the AI output you’re using is trustworthy—nothing has been secretly modified or manipulated, so you can have confidence in the results.
  • No more waiting on centralized gatekeepers. Your data is accessible anytime, anywhere, no permission required, unless you intentionally put permissions in place.

This isn’t some futuristic concept—it’s happening right now. Businesses, developers, and organizations are turning to decentralized storage because they recognize that the old way of doing things—where a handful of centralized providers hold all the power—isn’t good enough.

The Future of Trustworthy Data

At the end of the day, this is about something bigger than just storage. It’s about fairness. It’s about security. It’s about making sure people and businesses don’t have to waste time second-guessing whether the data they’re using is correct.

Because when data is reliable, people can focus on what really matters: treating patients, building businesses, educating students, and solving real-world problems. They don’t have to spend their days chasing down lost files or untangling a digital game of telephone. At DataHaven, we’re making sure that what’s said is what’s heard—and that’s a future worth building.

Ryan Levy is a seasoned executive with nearly 20 years of startup experience across Web2, Web3, blockchain, and data. A master at "connecting the dots," Ryan leads business development, partnerships, and go-to-market strategies, building ecosystems across DeFi, Blockchain Networks, Data, RWAs, DePIN, Gaming, and more. Currently Head of BD & Partnerships at Moonbeam and DataHaven, Ryan previously held leadership roles as VP of Business Development at SKALE Labs (SKALE Network), Head of Protocols & Partnerships at Chainstack, and Head of Partnerships at Kadena. Born and raised in South Africa, Ryan resided in Australia for many years and now calls California home. He greets each dawn with an espresso and a workout, which sets a tone of clarity and energy for the rest of his day. His guiding mantra, “Never Give Up,” drives his relentless pursuit of success in both his personal and professional life.

Disclaimer: Beluga has a paid marketing partnership with DataHaven.

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