Foundations3 min read

Recency

Recent events are weighted more heavily than their frequency warrants. It is why risk feels lowest after a long calm period and highest after a decline.

MadStockAlerts Research · Updated August 28, 2026

What to take away

  • Recent experience dominates the assessment of what is likely.
  • Risk appetite therefore rises after good periods and falls after bad ones.
  • It is the mechanism behind buying after strong performance and selling after weak.
  • Extrapolating a recent trend is the same effect applied to forecasts.
  • Long-horizon data is the countermeasure, and it is available.

MAD Academy Training Video · 0:46

The Last Thing Weighs the Most

Recent events dominate judgement out of all proportion, which is why strategies get abandoned right before they start working.

This lesson is part of a Stock Alerts + Tools plan.

See the library

How it operates

Judgements about likelihood are heavily influenced by how easily examples come to mind, and recent examples come to mind most easily. After a long calm period, a severe decline is difficult to imagine; immediately after one, it is difficult to imagine anything else.

Perceived risk against actual risk
Perceived risk against actual risk20406080100Risk feels lowest exactly where it ishighestEarly recoveryMid cycleLate cycleThe declineThe bottomLevel

Scroll the chart sideways to see all of it.

  • Perceived risk
  • Risk actually being taken
Perceived risk is lowest when valuations are highest and highest after prices have already fallen. The two lines are close to inverted, which is the whole of the effect.

Where it shows up

  • Fund flows: money arrives after strong performance and leaves after weak, which is the behaviour gap made concrete.
  • Allocation drift: risk is added after good years, which is when the allocation is already most aggressive.
  • Abandoning a method after a normal losing run, since the run is recent and the long record is not.
  • Extrapolating a growth rate that has persisted for a few years into a valuation.

The first item is measurable and consistently documented. Investors in the same funds earn less than the funds do, and the gap is timing driven by recent performance.

The interaction with sample size

Recency compounds the sample size problem this library returns to repeatedly. A run of six losses is recent, vivid and consistent with a perfectly good method, and the vividness is what makes it feel like evidence.

This is also why a method is most likely to be abandoned at the point where its long-run statistics say least has changed. The recent evidence is small and salient; the long record is large and abstract.

The countermeasures

  • Look at long-horizon data deliberately, since it is available and does not come to mind on its own.
  • Write down what a normal losing run looks like for the method, before one occurs.
  • Rebalance on a schedule, which mechanically reduces exposure after good periods.
  • Review the record in aggregate rather than by recalling recent trades.

The base rate that recency displaces

Recency operates by substituting recent frequency for actual frequency. Writing the actual frequency down in advance is the countermeasure, because it is available and does not come to mind on its own.

QuestionThe recency answerThe base rate
How often does the market fall 10 percentRarely, after a calm yearRoughly annually, historically
How often does it fall 20 percentNever, late in a cycleEvery few years
How long do losing runs lastAs long as the current oneThe method's own statistics say
How often is a setup wrongAs often as recentlyThe recorded hit rate

Every base rate in the right column is knowable in advance and none of them come to mind during the period they apply to. Writing them down before they are needed is the only reliable way to have them available when they are.

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