The Hidden Effect of Measurement
There is a simple principle:
What gets measured gets optimized.
The moment you start tracking:
- Max hang load
- Board benchmarks
- Session volume
- Send percentage
Your behavior shifts.
You begin to:
- Protect the metric
- Train for the metric
- Make decisions around the metric
This is not inherently bad.
But it is rarely neutral.
Metric-Driven Bias
If you measure:
Max hang load
You will:
If you measure:
Board problem sends
You may:
- Avoid problems that don’t fit benchmarks
- Prioritize repeatable setups
- Favor environments that inflate success rate
If you measure:
Volume
You may:
- Add unnecessary work
- Value session length over intensity
Metrics shape attention.
Attention shapes training.
The Optimization Problem
Metrics narrow focus.
This creates clarity.
But also tunnel vision.
Example:
If your tracked metric is max hang load,
you may:
- Neglect movement skill
- Ignore route pacing
- Avoid fatigue exposure
Your output improves.
Your performance may not.
The system becomes imbalanced.
Goodhart’s Law in Climbing
When a measure becomes a target,
it ceases to be a good measure.
If you chase:
- Benchmark board numbers
- Hang weight milestones
- Weekly volume totals
You may:
- Adjust training to inflate metrics
- Reduce ecological validity
- Lose transfer quality
Metrics must guide training —
not replace its purpose.
The Psychological Effect
Tracking metrics:
- Increases accountability
- Improves motivation
- Enhances structure
But it also:
- Increases pressure
- Encourages comparison
- Amplifies short-term fluctuation anxiety
Climbers often overreact to:
- 1 kg drop in hang load
- One failed benchmark
- One low-energy session
Measurement increases emotional volatility if misunderstood.
Productive Measurement
Measurement is powerful when:
- It tracks capacity, not ego
- It informs programming decisions
- It uses consistent testing conditions
- It is interpreted over long time horizons
It becomes harmful when:
- It drives impulsive adjustments
- It overrides recovery signals
- It becomes identity-linked
Data should inform.
Not define.
The Stability Strategy
To avoid distortion:
- Track few metrics.
- Track them consistently.
- Evaluate over 4–8 week windows.
- Never adjust programming based on single-session data.
Trends matter.
Single data points do not.
The Core Principle
Measurement changes behavior.
Used intelligently, it sharpens stimulus clarity.
Used impulsively, it distorts training priorities.
Metrics are tools.
Like any tool, they must serve adaptation —
not replace it.