Block builder win rate is the number everyone tracks. Builder X won 18% of blocks last week. Builder Y's market share is up. But win rate hides something: most of those blocks are worth almost nothing. The real competition isn't for volume. It's for the blocks worth 0.05, 0.2, even 1 ETH in builder payments — the slots that account for a disproportionate share of all MEV value.

Looking at seven days of mainnet MEV-Boost data (~45,000 deduplicated slots), two completely different builder ecosystems are visible.

When a validator is chosen to propose a block, it has a choice: publish the moment the block is ready, or wait for MEV-Boost bids to arrive and raise the payout. Most discussions frame this as a binary — you either participate in the timing game or you don't.

The data says it's more complicated. There are three distinct groups, and the middle one has mostly gone unnoticed.

The MEV relay system starts building blocks for a slot before that slot exists. Builders are running their engines eight seconds ahead of the clock, constantly revising bids as new transactions hit the mempool. What nobody seems to have charted is what happens at exactly two seconds before a slot starts: the entire auction collapses to near-zero and then rebuilds from scratch.

PeerDAS — EIP-7594's data availability sampling system — has been live on Ethereum mainnet for over 30 days. All 128 column subnets are active, and the data is arriving: 10,956 out of 10,958 slots in the last 48 hours had every single column propagate within 12 seconds. That's 99.98% completeness. The protocol is working.

But there's something nobody seems to have noticed: column index 0 arrives 156 milliseconds faster than column index 101. The correlation between column index and median propagation time is 0.82. And it's been this way, consistently, for seven consecutive days.

Every proposer using MEV-Boost faces the same tradeoff: wait longer to capture more value, but at some point your block arrives too late for attesters to see it before they commit their vote. The timing game is well-understood in theory. What hasn't been measured is exactly where the cliff is — and how steep the drop really is.

The cliff is at 3.0 seconds. What happens after it is sharper than you'd expect.

There's a 3-second cliff in Ethereum's attestation system. Blocks that arrive after it — when validators have already started forming their head votes — cause measurable drops in head accuracy. The earlier post established that with 50,000 slots of data.

What it didn't answer: who's responsible?

I started this looking for evidence that high-MEV blocks are harder for execution clients to process. The intuition is obvious: MEV blocks are full of complex DeFi interactions, sandwich attacks, arbitrage — all the state-thrashing stuff. Surely they're heavier to execute.

They're not. The correlation between MEV block value and newPayload execution time is r = −0.004. Essentially random noise.

What actually predicts execution latency is simpler and more boring: how much gas the block used.

Analyzing 52,104 blocks over 7 days: mean interval is 12.05s, median is 12s. Only 0.38% of blocks are delayed beyond 12 seconds. The network maintains remarkably tight timing.

The "Ethereum Virtual Machine" sounds like a computation engine. In practice, looking at 101 blocks of opcode execution data, it spends most of its time doing something much more mundane: reading and writing state.

SSTORE and SLOAD together account for 60.7% of all gas consumed on mainnet. Every other opcode — arithmetic, hashing, control flow, cross-contract calls — splits the remaining 39.3%.

I found a smoking gun in the mempool data: an MEV extraction bot is being systematically excluded from Ethereum blocks with a 91.9% exclusion rate. The kicker? Higher gas prices correlate with higher exclusion rates — the exact opposite of how a functioning market should work.

The Gas Price Paradox: For one sender, excluded transactions offered 11.78 gwei on average. The single transaction that got through? 1.7 gwei. This is reverse price discrimination — the more you pay, the less likely you are to be included.