
Taraxa Co-Founder Pushes for Transparent Blockchain Metrics
The metrics used to measure outcomes will be deceptive when evaluating blockchain efficiency. As extra blockchain networks emerge, the general public wants clear, efficiency-focused metrics, quite than exaggerated claims, to distinguish between them.
In a dialog with BeInCrypto, Taraxa Co-Founder Steven Pu defined that it’s turning into more and more tough to check blockchain efficiency precisely as a result of many reported metrics depend on overly optimistic assumptions quite than evidence-based outcomes. To fight this wave of misrepresentation, Pu proposes a brand new metric, which he calls TPS/$.
Why Does the Trade Lack Dependable Benchmarks?
The necessity for clear differentiation is rising with the growing variety of Layer-1 blockchain networks. As varied builders promote the velocity and effectivity of their blockchains, counting on metrics that distinguish their efficiency turns into indispensable.
Nevertheless, the {industry} nonetheless lacks dependable benchmarks for real-world effectivity, as an alternative counting on sporadic sentimental waves of hype-driven popularity. In keeping with Pu, deceptive efficiency figures presently saturate the market, obscuring true capabilities.
“It’s straightforward for opportunists to take benefit by driving up over-simplified and exaggerated narratives to revenue themselves. Each single conceivable technical idea and metric has at one time or one other been used to hype up many initiatives that don’t actually deserve them: TPS, finality latency, modularity, community node rely, execution velocity, parallelization, bandwidth utilization, EVM-compatibility, EVM-incompatibility, and many others.,” Pu advised BeInCrypto.
Pu centered on how some initiatives exploit TPS metrics, utilizing them as advertising techniques to make blockchain efficiency sound extra interesting than it is likely to be below real-world situations.
Inspecting the Deceptive Nature of TPS
Transactions per second, extra generally often called TPS, is a metric that refers back to the common or sustained number of transactions {that a} blockchain community can course of and finalize per second below regular working situations.
Nevertheless, it typically misleadingly hypes initiatives, providing a skewed view of total efficiency.
“Decentralized networks are advanced programs that have to be thought of as an entire, and within the context of their use circumstances. However the market has this horrible behavior of over-simplifying and over-selling one particular metric or facet of a mission, whereas ignoring the complete. Maybe a extremely centralized, high-TPS community does have its makes use of in the precise situations with particular belief fashions, however the market actually has no urge for food for such nuanced descriptions,” Pu defined.
Pu signifies that blockchain initiatives with excessive claims on single metrics like TPS could have compromised decentralization, security, and accuracy.
“Take TPS, for instance. This one metric masks quite a few different facets of the community, for instance, how was the TPS achieved? What was sacrificed within the course of? If I’ve 1 node, operating a WASM JIT VM, name {that a} community, that will get you a number of hundred thousand TPS proper off the bat. I then make 1000 copies of that machine and name it sharding, now you begin to get into the a whole bunch of thousands and thousands of ‘TPS’. Add in unrealistic assumptions resembling non-conflict, and you assume you may parallelize all transactions, then you will get “TPS” into the billions. It’s not that TPS is a foul metric, you simply can’t have a look at any metric in isolation as a result of there’s a lot hidden info behind the numbers,” he added.
The Taraxa Co-founder revealed the extent of those inflated metrics in a latest report.
The Vital Discrepancy Between Theoretical and Actual-World TPS
Pu sought to show his level by figuring out the distinction between the utmost historic TPS realized on a blockchain’s mainnet and the utmost theoretical TPS.
Of the 22 permissionless and single-shard networks noticed, Pu discovered that, on common, there was a 20-fold gap between theory and reality. In different phrases, the theoretical metric was 20 occasions larger than the utmost noticed mainnet TPS.

“Metric overestimations (resembling within the case of TPS) are a response to the extremely speculative and narrative-driven crypto market. Everybody desires to place their mission and applied sciences in the very best gentle, in order that they give you theoretical estimates, or conduct checks with wildly unrealistic assumptions, to reach at inflated metrics. It’s dishonest promoting. Nothing extra, nothing much less,” Pu advised BeInCrypto.
Seeking to counter these exaggerated metrics, Pu developed his personal efficiency measure.
Introducing TPS/$: A Extra Balanced Metric?
Pu and his staff developed the next: TPS realized on mainnet / month-to-month $ price of a single validator node, or TPS/$ for brief, to meet the necessity for higher efficiency metrics.
This metric assesses efficiency primarily based on verifiable TPS achieved on a community’s stay mainnet whereas additionally contemplating {hardware} effectivity.
The numerous 20-fold hole between theoretical and precise throughput satisfied Pu to exclude metrics primarily based solely on assumptions or lab situations. He additionally aimed as an instance how some blockchain projects inflate efficiency metrics by counting on expensive infrastructure.
“Printed community efficiency claims are sometimes inflated by extraordinarily costly {hardware}. That is very true for networks with extremely centralized consensus mechanisms, the place the throughput bottleneck shifts away from networking latency and into single-machine {hardware} efficiency. Requiring extraordinarily costly {hardware} for validators not solely betrays a centralized consensus algorithm and inefficient engineering, it additionally prevents the overwhelming majority of the world from probably collaborating in consensus by pricing them out,” Pu defined.
Pu’s staff situated every community’s minimal validator {hardware} necessities to find out the price per validator node. They later estimated their month-to-month price, paying explicit consideration to their relative sizing when used to compute the TPS per greenback ratios.
“So the TPS/$ metric tries to right two of the maybe most egregious classes of misinformation, by forcing the TPS efficiency to be on mainnet, and revealing the inherent tradeoffs of extraordinarily costly {hardware},” Pu added.
Pu careworn contemplating two easy, identifiable traits: whether or not a community is permissionless and single-sharded.
Permissioned vs. Permissionless Networks: Which Fosters Decentralization?
A blockchain’s diploma of safety will be unveiled by whether or not it operates below a permissioned or permissionless community.
Permissioned blockchains seek advice from closed networks the place entry and participation are restricted to a predefined group of customers, requiring permission from a government or trusted group to hitch. In permissionless blockchains, anybody is allowed to take part.
In keeping with Pu, the previous mannequin is at odds with the philosophy of decentralization.
“A permissioned community, the place community validation membership is managed by a single entity, or if there may be only a single entity (each Layer-2s), is one other wonderful metric. This tells you whether or not or not the community is certainly decentralized. A trademark of decentralization is its skill to bridge belief gaps. Take decentralization away, then the community is nothing greater than a cloud service,” Pu advised BeInCrypto.
Consideration to those metrics will show important over time, as networks with centralized authorities are typically extra weak to sure weaknesses.
“In the long run, what we actually want is a battery of standardized assault vectors for L1 infrastructure that may assist to disclose weaknesses and tradeoffs for any given architectural design. A lot of the issues in as we speak’s mainstream L1 are that they make unreasonable sacrifices in safety and decentralization. These traits are invisible and very onerous to watch, till a catastrophe strikes. My hope is that because the {industry} matures, such a battery of checks will start to organically emerge into an industry-wide commonplace,” Pu added.
In the meantime, understanding whether or not a community employs state-sharding versus sustaining a single, sharded state reveals how unified its information administration is.
State-Sharding vs. Single-State: Understanding Knowledge Unity
In blockchain efficiency, latency refers back to the time delay between submitting a transaction to the community, confirming it, and together with it in a block on the blockchain. It measures how lengthy it takes for a transaction to be processed and turn into a everlasting a part of the distributed ledger.
Figuring out whether or not a community employs state-sharding or a single-sharded state can reveal a lot about its latency effectivity.
State-sharded networks divide the blockchain’s information into a number of unbiased components referred to as shards. Every shard operates considerably independently and doesn’t have direct, real-time entry to the whole state of the whole community.
Against this, a non-state-sharded community has a single, shared state throughout the whole community. All nodes can entry and course of the identical full information set on this case.
Pu famous that state-sharded networks purpose to increase storage and transaction capacity. Nevertheless, they typically face longer finality latencies as a result of a must course of transactions throughout a number of unbiased shards.
He added that many initiatives adopting a sharding method inflate throughput by merely replicating their community quite than constructing a really built-in and scalable structure.
“A state-sharded community that doesn’t share state, is just making unconnected copies of a community. If I take a L1 community and simply make 1000 copies of it operating independently, it’s clearly dishonest to assert that I can add up all of the throughput throughout the copies collectively and symbolize it as a single community. There are architectures that really synchronize the states in addition to shuffle the validators throughout shards, however most of the time, initiatives making outlandish claims on throughput are simply making unbiased copies,” Pu mentioned.
Based mostly on his analysis into the efficiency of blockchain metrics, Pu highlighted the necessity for basic shifts in how initiatives are evaluated, funded, and finally succeed.
What Elementary Shifts Does Blockchain Analysis Want?
Pu’s insights current a notable different in a Layer-1 blockchain house the place deceptive efficiency metrics more and more compete for consideration. Dependable and efficient benchmarks are important to counter these false representations.
“You solely know what you may measure, and proper now in crypto, the numbers look extra like hype-narratives than goal measurements. Having standardized, clear measurements permits easy comparisons throughout product choices so builders and customers perceive what it is that they’re utilizing, and what tradeoffs they’re making. This can be a hallmark of any mature {industry}, and we nonetheless have a protracted strategy to go in crypto,” Pu concluded.
Adopting standardized and clear benchmarks will foster knowledgeable decision-making and drive real progress past merely promotional claims because the {industry} matures.
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