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Decision Science.

How high-stakes decisions actually get made, and how to grade them honestly.

Personalized feedUpdated · 2026-07-08

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The Standard on Decision Science

Most bad decisions in sport and business are not information failures. They are predictable reasoning failures under time pressure — and they have names, measurements, and partial fixes.

What this field actually measures

Base rate neglect

Ignoring how common an outcome is when judging a specific case.

ReferenceOne of the most reproducible findings in judgement research.

Calibration

Whether things you call 70% likely happen about 70% of the time.

ReferenceUntrained forecasters are typically overconfident; calibration improves measurably with feedback and scoring.

Brier score

Squared error of probabilistic forecasts.

ReferenceLower is better; it is the standard way to grade a prediction record honestly.

Evidence & metrics

The published work behind the numbers above, and the public datasets you can open to check us. If a claim can’t be traced here, we don’t print it.

Citations

  1. Prospect theory: an analysis of decision under risk

    Kahneman & Tversky — Econometrica · 1979

    People weight losses more heavily than equivalent gains, which distorts risk-taking under pressure.

  2. Do firms maximize? Evidence from professional football

    Romer — Journal of Political Economy · 2006

    NFL teams punted in situations where going for it had higher expected value, a systematic and persistent deviation.

Datasets

Still open

  • Which debiasing methods survive outside the lab?
  • How should organisations record decisions so that quality can be judged apart from outcome?
  • Does analytics adoption improve decisions or just relocate the confidence?

What we won’t say

We will not grade a decision by its result. A good process can lose, and we log the process.

  • VO-1Evidence before wit
  • VO-2Punch at claims, never at people
  • VO-3Say the uncertainty out loud
Read the Brand Voice Standard
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