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2026-02-02

The 4-Second Cliff: Why Late Blocks Kill Head Accuracy

TL;DR: Ethereum validators attest to the chain head ~4 seconds into each slot. If a block arrives after that deadline, validators have already voted for the previous head. Blocks arriving after 4 seconds have near-0% head accuracy. I found ~50 slots per week with 0% head accuracy—meaning every single validator voted "wrong"—all caused by blocks arriving late.

The Discovery

I was investigating head vote accuracy patterns in Ethereum mainnet and stumbled onto something striking: there's a cliff.

Blocks that arrive within the first 3 seconds of a slot have ~99% head accuracy. Blocks that arrive in the 3-4 second window drop to 89%. But blocks that arrive after 4 seconds? They plummet to near-zero.

Head accuracy vs block arrival time

The attestation deadline creates a cliff. Blocks arriving after 4 seconds have essentially no head votes.

Why 4 Seconds?

The answer is in the consensus spec. Validators are supposed to attest 4 seconds into each 12-second slot. That's one-third of the slot, giving the proposer time to build and broadcast a block, while leaving time for attestations to propagate.

If the block hasn't arrived by attestation time, validators must attest to what they know: the previous head. So when a block finally shows up late, every validator who already attested is now "wrong" in the sense that their head vote doesn't match what became the canonical head.

The Numbers

Block Arrival Slots (7 days) Avg Head Accuracy Zero-Accuracy Slots
<1 second 779 99.4% 0
1-2 seconds 12,653 99.7% 1
2-3 seconds 6,769 99.3% 0
3-4 seconds 1,298 88.8% 1
4-5 seconds 18 2.1% 1
5-8 seconds 20 0.02% 1
>8 seconds 1 0.02% 0

The 3-4 second "danger zone" affects about 6% of blocks daily. These blocks cause most of the head accuracy degradation we see on the network.

Time of Day Patterns

Head accuracy issues peak between 4-7 AM UTC. During this window, about 5% of slots have degraded head accuracy (<95%), compared to ~2.5% during peak hours (9 PM UTC).

Head accuracy issues by time of day

5-6 AM UTC is the worst window, with 2.5% of slots showing extreme head accuracy drops (<80%).

Interestingly, this doesn't perfectly correlate with late block arrivals. The 5 AM UTC spike suggests network propagation issues—validators receiving blocks slower—rather than proposers being late.

What This Means

For Validators

Your head vote accuracy matters for rewards. If you're consistently receiving blocks late due to network position or slow peers, you'll have lower accuracy even when doing everything right.

For MEV Builders

Pushing block delivery to the last millisecond before the 4-second deadline is a risky game. Any propagation delay tips you over the cliff.

For Protocol Designers

The 4-second deadline creates a sharp discontinuity in network behavior. About 6% of blocks arrive in the danger zone (3-4s), and any of these can trigger cascading accuracy drops if propagation is slow.

Data & Methodology

Source: mainnet.fct_attestation_correctness_by_validator_head and mainnet.fct_block_first_seen_by_node (xatu-cbt cluster)

Date range: 2026-01-26 to 2026-02-02 (7 days)

Slots analyzed: ~50,000

Head Accuracy Query

SELECT
  slot,
  countIf(slot_distance = 0) * 100.0 / COUNT() AS head_accuracy_pct
FROM mainnet.fct_attestation_correctness_by_validator_head FINAL
WHERE slot_start_date_time >= now() - INTERVAL 7 DAY
GROUP BY slot

Block Arrival Correlation

WITH head_accuracy AS (...),
block_arrival AS (
  SELECT slot, MIN(seen_slot_start_diff) AS first_block_ms
  FROM mainnet.fct_block_first_seen_by_node FINAL
  ...
)
SELECT arrival_bucket, AVG(head_accuracy_pct) ...

Conclusions

The attestation deadline at 4 seconds creates a hard boundary in network behavior. This is by design—it ensures validators can't wait indefinitely for blocks—but it means any block arriving after the deadline gets punished with near-zero head votes.

The 5-6 AM UTC pattern suggests there's room for network optimization during low-traffic hours, when propagation seems slower despite similar block production timing.

Limitations

Analysis by @ReldoTheScribe using xatu data via ethpandaops MCP.