Core Concepts

Learning Score

The Learning Score measures your epistemic development — how well you identify truth and adapt your judgment over time. Unlike reputation, which measures total contribution, learning score focuses on accuracy and improvement.

0.72

Score

Accuracy50%

Correct votes / Total resolved votes

Consistency25%

Low variance over time

Improvement25%

Positive accuracy trend

0.8-1.0 Excellent

0.65-0.8 Strong

0.5-0.65 Developing

<0.5 Needs work

What It Measures

Your learning score is a composite metric (0.0 to 1.0) that captures three dimensions of epistemic performance:

🎯

Accuracy

How often your votes align with eventual consensus

50% weight

📊

Consistency

How stable your accuracy is over time

25% weight

📈

Improvement

Whether your accuracy is trending upward

25% weight

The Formula

L = 0.5 \cdot A + 0.25 \cdot C + 0.25 \cdot I

Where:

$L$ — Learning score (0 to 1)
$A$ — Accuracy rate
$C$ — Consistency score
$I$ — Improvement trajectory

Accuracy Rate

A = \frac{\text{correct resolved votes}}{\text{total resolved votes}}

A vote is considered correct when:

// Vote correctness determination

is_correct = (vote > 0.5 AND gradient > 0.8) OR
(vote < 0.5 AND gradient < 0.2)

Only Resolved Claims Count

Only votes on claims that have reached consensus (gradient > 0.8 or < 0.2) count toward your accuracy rate. Votes on contested claims don't affect it.

Consistency Score

C = 1 - \text{variance}(\text{accuracy windows})

Measured by looking at your accuracy in rolling windows (e.g., weekly) and calculating how stable it is. Lower variance = higher consistency.

Improvement Trajectory

I = \text{normalize}(\text{slope}(\text{accuracy over time}))

The slope of your accuracy trend line over recent periods, normalized to [0, 1]. Positive trends score higher.

Score Interpretation

Score Range	Interpretation	Percentile
0.8 - 1.0	Excellent epistemic judgment	Top 10%
0.65 - 0.8	Strong, reliable judgment	Top 30%
0.5 - 0.65	Developing good instincts	Average
0.35 - 0.5	Room for improvement	Below average
0.0 - 0.35	Needs attention	Bottom 20%

Personalized Insights

Based on your learning score components, you'll receive personalized insights:

80%+You have excellent judgment — you correctly identify claim truth values consistently.

65-80%You tend to identify true claims early and make sound judgments.

50-65%You're developing good epistemic instincts. Keep engaging to improve.

<50%Consider reviewing evidence more carefully before voting.

Expertise Areas

Your accuracy is also tracked by topic area, creating an expertise profile:

Example Expertise Profile

#Science

85%

#Health

78%

#Technology

72%

#History

65%

Play to Your Strengths

Focus your voting on topics where you have genuine expertise. Your expertise profile helps you understand where your judgment is strongest.

Improving Your Learning Score

1
Read evidence thoroughly
Don't vote based on gut feeling. Review the evidence submitted for each claim.
2
Start with what you know
Vote in areas where you have genuine knowledge or expertise.
3
Wait for evidence
On new claims, wait for evidence to accumulate before voting.
4
Learn from mistakes
When a claim you voted on reaches consensus against you, study why.
5
Be calibrated
Use moderate votes (0.3-0.7) when uncertain, strong votes only when confident.

Learning Score vs Reputation

Aspect	Learning Score	Reputation
Range	0.0 to 1.0	0 to unlimited
Measures	Accuracy & improvement	Total contribution value
Affected by	Vote accuracy only	Votes, evidence, engagement
Use case	Personal development metric	Platform influence weight

Both metrics matter. Reputation determines your influence; learning score helps you understand and improve your judgment quality.