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Risk literacy · 7 min read

Drawdown, variance and sample size

Why a profitable process can lose for long stretches—and why short winning streaks are weak evidence.

01

Variance is not a footnote

Binary outcomes are noisy. Even when a probability estimate is directionally useful, wins and losses can cluster in ways that feel meaningful but are compatible with chance.

This is why screenshots of a winning week, a perfect accumulator or a recent streak are not a reliable audit of a forecasting system.

02

Drawdown measures the difficult path

Maximum drawdown tracks the largest peak-to-trough fall in a sequential unit ledger. It exposes the path hidden by a final ROI number.

The result is sample-specific and depends on staking assumptions. It should be calculated from the complete append-only series, including losses and voids.

03

Maturity requires more than a threshold

A larger sample reduces some uncertainty but does not repair data leakage, changing methods or selective publication. Cohort size and process integrity must mature together.

  • Use fixed unit accounting.
  • Show the full sequence.
  • Version methodology changes.
  • Avoid annualising a tiny sample.
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Sources

Direct links are preserved so the editorial reasoning can be checked independently.

  1. The evidence protocolFORM/PRICE · internal · accessed 31 Aug 2026
  2. Probabilistic Forecasts, Calibration and SharpnessJournal of the Royal Statistical Society: Series B · research · accessed 31 Aug 2026