Read the score.
Check which outcomes the reward counts.
The score sees only what it counts.
INSTRUMENTS / VALUE & POWER
Constructed exampleSpend the effort. Inspect the reward.
Change an input. Inspect every step. Keep a fixed record.
01 / THE QUESTION
Is a closed case a solved problem?
You have twenty effort units and twenty cases. Resolving a case costs two units. Closing one administratively costs one. Which action does the score reward?
Keep a first thought
Optional. Included only when you explicitly save; excluded from shared links.
Constructed data · every relationship and outcome is supplied.
02 / OPEN THE MODEL
WHAT THE SCORE SEES
15closed casesChanging the reward changes the score. Your case allocation stays fixed.
THE SAME TWENTY EFFORT UNITS
WHAT HAPPENED TO THE CASES
C01 · Resolved: two effort units were assigned.
For the selected reward, this model’s highest score uses 0 resolutions. Changing the reward keeps your allocation unchanged.
15Closed casescases
5Confirmed resolutionscases
15Reward · closedclosed cases
Follow the idea.
A concept, in three framesFollow the effort.
Resolution and closure use effort differently.
Inspect the cases.
A closed case can remain unresolved.
HOLD ONE VERSION STILL
What changes when you change the model?
Keep the current inputs beside your next adjustment.
Name the outcome before choosing the score.
Counting closures treats a resolution and an administrative closure alike. Counting confirmed resolutions recognizes a different outcome under the same effort budget. Here r means resolutions and c means administrative closures.
Save this experiment
MODEL & LIMITS
What this model leaves open
This model supplies the action costs and assumes perfect confirmation of resolutions. It does not predict how real people behave or prove that every target fails.
- InputsWhat is supplied?
- DefinitionWhat is counted?
- InferenceWhat follows?
Inspect the exact workings
Effort: 2 × 5 + 10 = 20 units. Distinct acted-on cases: 5 + 10 = 15. Unresolved includes administrative closures and untouched cases: 10 + 5 = 15.
| Resolutions | Administrative closures | Closed | Unresolved | Selected reward |
|---|---|---|---|---|
| 0 | 20 | 20 | 20 | 20 closed cases |
| 1 | 18 | 19 | 19 | 19 closed cases |
| 2 | 16 | 18 | 18 | 18 closed cases |
| 3 | 14 | 17 | 17 | 17 closed cases |
| 4 | 12 | 16 | 16 | 16 closed cases |
| 5 | 10 | 15 | 15 | 15 closed cases |
| 6 | 8 | 14 | 14 | 14 closed cases |
| 7 | 6 | 13 | 13 | 13 closed cases |
| 8 | 4 | 12 | 12 | 12 closed cases |
| 9 | 2 | 11 | 11 | 11 closed cases |
| 10 | 0 | 10 | 10 | 10 closed cases |
Case ledger: C01 resolved; C02 resolved; C03 resolved; C04 resolved; C05 resolved; C06 administrative; C07 administrative; C08 administrative; C09 administrative; C10 administrative; C11 administrative; C12 administrative; C13 administrative; C14 administrative; C15 administrative; C16 untouched; C17 untouched; C18 untouched; C19 untouched; C20 untouched.
Assumptions, sources and evidence status
Original constructed fixture: constructed-incentives-v1. incentives-v1. No empirical observations are represented by these example counts.
- This is a deterministic constructed model, not an empirical claim about workers or inevitable target failure.
- Confirmed resolutions are assumed to be perfectly observed; real verification can be difficult and costly.
- Switching the reward does not reallocate effort. Closed and resolved counts overlap and must not be added.