THE STAT MAN

Chapter 24 · Worked solutions

Chapter 24 workings: Silicon Tipsters on Trial

Chapter twenty-four worked: a Brier score for five forecasts, judged against the 0.25 coin-flip baseline, and why one confident miss dominates.

The Brier score is the average squared gap between a forecast and what happened, coded 1 or 0. Lower is better. Saying 50 per cent every time scores exactly 0.25.

The exercises

  1. Five forecasts, one score

Five forecasts, one score

Score five home-win forecasts against their results and compare with 0.25.

  1. Square each gap

    Forecast minus result, squared, in the table.

  2. Average

    Total 1.1250 ÷ 5 = 0.225.

  3. Judge

    Below 0.25, so better than a coin flip overall.

  4. Look at match 3

    The 0.75 that failed contributes 0.5625, exactly half the total. Confident misses cost most.

Brier score, match by match
MatchForecastResultGapSquared
10.601−0.400.1600
20.200+0.200.0400
30.750+0.750.5625
40.551−0.450.2025
50.400+0.400.1600

The answer

Brier 0.225, better than the 0.25 baseline; match 3 is half the error.

These are the workings. The argument for them, and the exercises themselves, are in chapter 24 of the book, Silicon Tipsters on Trial.

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