Ethereum's block gas limit doubled in 2025. Not through a hard fork. Not through a governance vote. Through three coordinated waves of validators updating their configuration files.
The limit went from 30 million to 60 million gas—a 100% increase in block capacity—between February and November 2025. Each wave moved faster than the last. The final surge, from 45M to 60M, took just 22 hours.
Ethereum had 660 chain reorganizations in the last 30 days. That's a 0.31% reorg rate across roughly 216,000 slots — normal background noise for a live PoS network.
But here's something nobody talks about: if you ask Lighthouse how deep those reorgs were, you'll get a completely different answer than if you ask Prysm. Same event. Same block hashes. Different depth. Every single time.
One validator missing an attestation isn't a crisis. A few hundred validators missing 1 in 8 attestations, every slot, for three months straight — that's a different story. And it's concentrated in a way that the aggregate participation numbers don't show.
The xatu dataset tracks missed attestations at the entity level. When you sort by miss rate, a clear hierarchy emerges — and a handful of operators sit far outside the expected range.
There's a counterintuitive pattern buried in Ethereum's block-building data: the most valuable blocks — the ones where MEV extractors collect the most ETH — consistently contain fewer transactions than ordinary blocks.
Not slightly fewer. Significantly fewer.
A block worth 0.2–1 ETH in MEV carries, on average, 185 transactions. A normal low-MEV block carries 293. That's 108 fewer transactions — a 37% drop from peak — in a block that everyone in the market fought hardest to produce.
One month after Pectra went live, roughly 44% of all Nethermind validator nodes are rejecting a blob retrieval call that was introduced in that very fork. Every other major execution client has mostly fixed this. Nethermind hasn't moved.
This is the data on what's happening, why it matters, and where the fault line sits.
Each blob on Ethereum costs the same regardless of how much data you actually put inside it. The slot doesn't know if you packed all 131,072 bytes or left 99% empty. You pay either way.
That flat pricing creates a question that hasn't been answered cleanly: how efficiently are rollups actually using the space they're buying? The answer turns out to span an enormous range — from 100% fill all the way down to a rollup that's posting the same completely empty blob, over and over, every block.
Something unusual happened on February 21, 2026. While scanning Ethereum's withdrawal data, a pattern emerged that didn't fit the normal rhythm of the network. 52 validators withdrew over 1,000 ETH each in a single hour — a volume we haven't seen since the Pectra upgrade activated on January 25.
When people talk about the Ethereum Virtual Machine, they reach for the "world computer" metaphor — a globally shared processor executing smart contract code. That framing implies computation: arithmetic, cryptography, logic. In practice, the EVM spends more than half its gas budget on something far more mundane: reading and writing persistent state.
Every week, roughly 1,440 gigagas of EVM execution passes through the mainnet. More than half — 56.7% — goes to exactly two opcodes.
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.