In the whitepaper, Newton proudly paints a picture: that hundreds or thousands of independently operated operators crawl data from massive heterogeneous data sources, converging into an unbreakable set of price facts. This “Data Diversity” is the theoretical cornerstone of its defense against oracle attacks. The claim sounds solid—but if we set aside the ideal and stick to the facts: when these operators are pulled by the forces of cost and efficiency, they will spontaneously head toward the same endpoint. In the end, the so-called “diversity” is already quietly unified at the very sources of the data, and Newton’s entire security model is built on just such a sand pile.

Let’s start with the operators’ cost ledger. Suppose you’re a rational operator in the Newton network. Your goal is to maximize rewards and minimize cost and risk. You need to fetch the BTC/USDT price. You have several choices in front of you: A. Build your own low-latency nodes, connect WebSocket interfaces from at least 5 exchanges like Binance, OKX, Bybit, parse and clean the data, and continuously maintain everything. B. Buy enterprise-tier node services from providers like Infura and Alchemy to get stable, low-latency data pushes. C. Directly take the aggregated mid-price from free or paid endpoints of aggregation APIs like CoinGecko or CoinMarketCap. D. Integrate Chainlink’s BTC/USD price feed, and then do a simple exchange-rate conversion.

A very harsh reality is that, from a purely commercial operations perspective, options D or C are often the “best solution.” Why? Because although options A and B sound more “native,” their development cost, maintenance cost, and risk of errors rise exponentially. You have to handle endless issues: differences in the format of each exchange’s API, rate-limiting strategies, temporary outages, data stream interruptions, and more. If your program bugs out and reports an incorrect price, your staked deposit will be slashed.

On the contrary, if you choose to integrate Chainlink as the price feed, what you get is a “super median” that has been validated by the market over the long term, has extremely strong attack resistance, and has already aggregated multiple high-quality nodes. Your data sources instantly become unimaginably “safe,” making it almost impossible for them to deviate from other similar sources. While it sounds like a joke—a network of oracles relying on another oracle network—this is, in rational terms, the best option for an individual operator: maximum returns, minimum risk. In economics, this is called the “tragedy of the commons.” Everyone makes a decision that is absolutely correct for themselves, but in the end, it destroys the foundation of the entire system.

And then a magical thing happened. At the protocol layer of Newton, it saw hundreds of nodes submitting data—the median calculation worked normally, and the VRF gateway rotation also seemed sufficiently decentralized. It believed those hundreds of data points represented hundreds of independent information sources, a great victory for “diversity.” But in reality, these data may simply be mirrored outputs aggregated from just a few super-oracle data providers. The system’s security isn’t built on the distributed network it lays out itself—it’s parasitic on the old system it claims to challenge. Once an API from Chainlink or CoinGecko experiences a millisecond-level disturbance, perhaps more than 70% of the nodes in the Newton network will synchronize and generate the “correct” errors, while the remaining 30% honest nodes will be penalized and eliminated for deviating from that “authoritative error.”$BTC

This risk isn’t theoretical. It comes from an irreconcilable contradiction: the system pursues data diversity, while nodes pursue individual self-interest optimization. As long as running independent, differentiated data sources is more expensive and riskier, capital will drive nodes to converge on the cheapest—and most “secure”—data sources. No matter how ingenious the decentralized architecture in your code is, it can’t withstand the pull of human nature and capital. When you put NEWT into this system, you’re betting that most operators won’t simultaneously find the lowest-cost, least-effort path. And history tells us they always will. #Newt $NEWT @NewtonProtocol