I remember sitting in a packed Hangzhou conference hall back in 2021. A speaker on stage was celebrating Ethereum’s soaring gas fees as a badge of network success. The audience nodded along, convinced that high fees meant high value. But I couldn’t shake the feeling that we were confusing a symptom for the disease. That memory came flooding back when I read Ripple CTO David Schwartz’s latest rebuttal: “High fees do not automatically translate into a healthier network.” He’s right. And the crypto industry desperately needs to hear this.
Context: Why We Became Addicted to the Fee Metric
It’s not hard to see where the misconception comes from. During the 2021 bull cycle, Ethereum’s gas fees skyrocketed. Projects launching on the network touted fee revenue as proof of adoption. Investors saw high fees as a proxy for demand, and demand as a proxy for value. The logic seemed simple: if people are willing to pay $50 for a transaction, the network must be invaluable. But this reasoning conflates scarcity of block space with genuine utility. A traffic jam in a city doesn’t mean the roads are well-designed—it means the infrastructure is failing to keep up with demand. Schwartz’s comment is a wake-up call to stop celebrating bottlenecks.
In my experience auditing the tokenomics of five open-source projects during the ICO era, I learned that network health is multidimensional. Daily active addresses, transaction count, throughput, decentralization degree, and fee efficiency all matter. A high fee per transaction alone tells you nothing about how many users are being shut out.
Core: The Technical and Economic Case Against the Fee-Equals-Health Fallacy
Let’s break down why high fees can actually be a negative signal. First, high fees directly undermine network accessibility. If a blockchain is too expensive to use for small transfers, it loses its purpose as a peer-to-peer payment system. Second, high fees concentrate power among high-spending users and miners, creating a two-tier system where the wealthy dictate transaction ordering. Third, fee spikes often correlate with speculative activity, not lasting adoption. During the NFT mania, I saw many projects inflate their fee numbers with wash trading—an expensive but meaningless metric.
From a game theory perspective, a healthy fee market is one where fees are low enough to encourage constant interaction but flexible enough to prevent spam. The ideal is a stable fee equilibrium, not a peak. Schwartz’s defense of low fees aligns with the design philosophy of XRP Ledger, where transaction costs are fractions of a cent. As I wrote in my “DeFi for Humans” series during the 2022 bear market, the projects that survive bear markets are those that can offer reliable, cheap services. High-fee networks often become ghost towns once the hype fades.
Trust is compiled, verified, and shared. A truly healthy network builds trust through consistent, affordable operation—not through occasional price spikes.
Contrarian: The Blind Spots of the Low-Fee Ideal
Before we fully embrace Schwartz’s argument, we need to check for blind spots. Low fees can also indicate low usage. A network with zero fees might be a network no one wants to use. The trick is to measure fee efficiency: fee per transaction relative to network value and adoption. Additionally, XRP Ledger itself has centralization concerns—a majority of validating nodes are operated by Ripple-related entities. High fees might be a symptom of a permissioned system; but low fees in a system with a small validator set can also hide a lack of true decentralization.
Furthermore, the debate ignores that some high-fee periods are justified by short-term congestion that precedes scaling upgrades. Ethereum’s EIP-1559, for example, was designed to make fees predictable, not zero. The goal isn’t “low fees at all costs” but “fees that reflect genuine network value without excluding the majority.” Schwartz’s comment is a useful counterweight to the prevailing narrative, but we must avoid swinging to the opposite extreme.
Code is only as strong as the trust it protects. And trust is built on a balanced fee structure, not an absolute low.
Takeaway: Let’s Redefine How We Judge Network Health
Schwartz has done the industry a service by challenging a lazy assumption. But the real work lies in developing better, composite health metrics that combine fee data with user activity, security level, and decentralization. As someone who has spent years educating newcomers about blockchain fundamentals, I see this as an opportunity to move beyond simplistic indicators. The next time someone points to a $100 gas fee and calls it success, ask them: How many users are being priced out? How many transactions are real? Are we measuring what matters?
Bridges aren't built on fees alone.
Tags: CTO Ripple, David Schwartz, network health, transaction fees, blockchain metrics, decentralization fallacies