In HFT, there is no silver medal. If you and a competitor both see the same opportunity and they are 1 nanosecond faster, they capture 100% of the profit. You capture 0% — and you get the trade they didn't want: adverse selection.
Jitter — the standard deviation of your latency distribution — is where this becomes a finance problem. Your P50 might be 147ms, but your P99 is 210ms. That 63ms tail variance doesn't just feel slow. It has a calculable annual cost:
Annual Jitter Tax = Daily Volume × Slippage × (P99 − P50) / P50 × 252
For a fund doing $50M/day with 1bp slippage and AWS KMS signing, that formula produces ~$534K/year in recoverable losses — before you consider the trades you missed entirely because you were in the tail.
The full article covers: the complete game theory of queue position, how to audit your strategy for latency sensitivity, and why jitter (not average latency) is the metric that matters for alpha preservation.