An equities trader learns early that the venue matters — that the same order behaves differently depending on where and how it is routed. The same is true across chains, and the differences are larger.
Block time changes what a queue is
The interval between blocks sets how long your transaction sits visible before it settles, and that window is the entire opportunity for the ordering games described in MEV and sandwich attacks. A chain producing blocks in a fraction of a second offers a much narrower window than one producing them every several seconds.
Narrower is not automatically safer — it changes who can compete for the ordering advantage rather than removing it — but it does change the character of the risk, and it changes how stale your quote is by the time you settle.
Fees change what is worth doing
Where a transaction costs a meaningful amount, small trades are uneconomic and the market skews toward fewer, larger orders. Where it costs very little, the opposite: many small transactions, higher counts, and strategies that would be absurd elsewhere become viable.
This shows up directly in the data. Transaction counts are not comparable across chains, and a token that looks vastly more active on a cheap chain may simply be the same activity chopped finer. It is the same reasoning as in pool depth is not volume: the number is real, and it is not measuring what you assumed.
Different pool designs, different depth
Not every venue uses the simple constant-product curve described in how an AMM prices a token. Concentrated-liquidity designs let providers place depth in a chosen price range, which makes a pool far deeper inside that band and far thinner outside it. Some ecosystems also run genuine on-chain order books alongside pools.
The practical consequence: a single “total liquidity” figure is less comparable across chains than it looks. Depth concentrated in a narrow band around spot and depth spread across the whole curve are not the same asset to trade, even at identical totals.
The rule that follows
Never compare a token’s on-chain figures across chains without saying which chain. And never key its identity without the network either — addresses are unique only within a network, which is the trap in a ticker is not a token. The NoVo Crypto Market Map keeps Solana and Robinhood Chain as separate namespaces for both reasons.