Matt's results

How well does Matt estimate the world?

The reasoning score rewards useful facts, a sound approach, correct math, and a final estimate close to the sourced answer. Higher is better.

Headline insight

Strongest area: Everyday life and sports

Across 83 scored problems, the most reliable patterns are easier to see by subject and reasoning method than from one overall number.

Strongest established subjectEveryday life and sports3 problems · 73.3 average
Strongest established problem typeCounting, population, and volume3 problems · 75 average
Overall context61.3 / 100 reasoning score83 scored first passes
See detailed breakdown

Four parts. One reasoning score.

Useful facts + Reasoning approach + Math + Final estimate

Every reasoning score adds the points earned in four areas. Higher is better in every category.

Useful facts

Quality of remembered constants and domain anchors, sometimes called pegs.

11.9 / 30

Average earned points

Reasoning approach

Whether the conceptual breakdown answered the question.

23.1 / 30

Average earned points

Math

Correct arithmetic, units, and conversions.

6.7 / 10

Average earned points

Final estimate

Closeness of the first pass to the sourced answer.

19.6 / 30

Average earned points

Maximum points: 30 + 30 + 10 + 30 = 100. The same four components appear in each subject and model comparison below.

Published editorial grades, backfilled across the archive. Some older grades need a consistency review; these averages describe this set of problems, not a validated measure of ability. All charts use a 0-100 earned-point scale.

Every scored article is included in these aggregates. 83 of 85 published pages currently have a Reasoning score.

Scored articles 83 85 published problem pages scanned
Average reasoning score 61.3 100 is best, 0 is worst
Highest score (ties possible) 100 How much sea-level rise comes from 12.5 trillion tons of ice?
Lowest score (ties possible) 10 How far can Mayon volcanic ash travel before falling?

Reasoning score by issue

Higher is better. Issue sequence is a proxy for progress, not a verified attempt date. The unnumbered coffee issue is included in all averages, but omitted here. Changing topics and difficulty can change the trend.

Problem types

Performance by reasoning pattern.

This is the most useful view for learning transfer: the same model family can appear in politics, sports, science, infrastructure, and business news.

Dose, exposure, and health (n=1)
90
Counting, population, and volume (n=3)
75
Human flow and safety (n=2)
75
Manufacturing and supply chains (n=1)
70
Unit conversion and scaling (n=3)
68.3
Human time and attention (n=4)
67.5
Cost and economic scaling (n=11)
64.1
Logistics and material flow (n=10)
64
Geometry, area, and volume (n=6)
63.3
Stock-flow and throughput (n=16)
62.2
Scale comparison and infrastructure (n=2)
57.5
Energy, power, and physics (n=17)
56.8
Probability and exponential scaling (n=4)
40
Motion, transport, and distance (n=3)
40
Problem typeArticlesAvg scoreUseful factsApproachMathFinal estimateSample note
Dose, exposure, and health 1 90 20 30 10 30 Small sample
Counting, population, and volume 3 75 16.7 25 10 23.3 Descriptive only
Human flow and safety 2 75 15 30 5 25 Small sample
Manufacturing and supply chains 1 70 10 30 10 20 Small sample
Unit conversion and scaling 3 68.3 13.3 25 10 20 Descriptive only
Human time and attention 4 67.5 12.5 26.3 8.8 20 Descriptive only
Cost and economic scaling 11 64.1 11.8 25.9 7.3 19.1 Descriptive only
Logistics and material flow 10 64 15 24 6 19 Descriptive only
Geometry, area, and volume 6 63.3 10 25 6.7 21.7 Descriptive only
Stock-flow and throughput 16 62.2 11.9 24.4 6.3 19.7 Descriptive only
Scale comparison and infrastructure 2 57.5 10 27.5 5 15 Small sample
Energy, power, and physics 17 56.8 10 21.2 6.8 18.8 Descriptive only
Probability and exponential scaling 4 40 10 7.5 2.5 20 Descriptive only
Motion, transport, and distance 3 40 10 10 6.7 13.3 Descriptive only

Subjects

Performance by subject matter.

Each article has one primary subject and one model family. These editorial groupings can change; original labels remain in the export. Small groups are especially sensitive to which problems were attempted.

Everyday life and sports (n=3)
73.3
Public systems and economics (n=20)
71.3
Health, safety, and biology (n=4)
70
Engineering and robotics (n=1)
65
Earth, climate, and environment (n=15)
60.3
Energy and infrastructure (n=17)
59.4
Manufacturing and supply chains (n=6)
56.7
Computing, media, and attention (n=6)
53.3
Space and astronomy (n=7)
51.4
Transportation and aviation (n=4)
41.3
SubjectArticlesAvg scoreUseful factsApproachMathFinal estimateSample note
Everyday life and sports 3 73.3 20 25 8.3 20 Descriptive only
Public systems and economics 20 71.3 15 26 7.8 22.5 Descriptive only
Health, safety, and biology 4 70 12.5 22.5 7.5 27.5 Descriptive only
Engineering and robotics 1 65 10 15 10 30 Small sample
Earth, climate, and environment 15 60.3 12.7 22 5.7 20 Descriptive only
Energy and infrastructure 17 59.4 10 22.9 7.1 19.4 Descriptive only
Manufacturing and supply chains 6 56.7 6.7 27.5 6.7 15.8 Descriptive only
Computing, media, and attention 6 53.3 10 22.5 5.8 15 Descriptive only
Space and astronomy 7 51.4 8.6 21.4 5.7 15.7 Descriptive only
Transportation and aviation 4 41.3 12.5 11.3 5 12.5 Descriptive only

Your version

Your first estimates are tracked separately.

Your Results shows scale accuracy, subjects, problem types, and recent attempts. Optional passkey accounts can carry that history across devices.