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Utility Monster.

Allocate resources under an extreme utility scale and inspect what total maximisation permits.

Interactive experimentintuitiveField note ·
INTERACTIVE EXPERIMENT / P69

Utility Monster

Allocate resources under an extreme utility scale and inspect what total maximisation permits.

CONSIDER & COMPARE

Distribute ten divisible tokens between ten ordinary people and one “utility monster.” Each ordinary token creates two utility units; each monster token creates ten. Interpersonal comparability and constant marginal gains are stipulated.

010
Monster utility
50
Ordinary group total utility
10
Total utility
60
Utility per ordinary person
1.00
What should govern allocation?

Explore what total maximisation permits under these assumptions.

Nozick’s utility-monster objection challenges an implication of unrestricted aggregation. The numerical utilities and optional cap are authored examples, not measurements or a complete theory of fair allocation.

Interpersonal utility comparability, constant marginal values and the optional cap are stipulated. The numbers are not measurements or a complete theory of justice.

THE SHORT VERSION

Utility Monster, explained.

Nozick’s utility-monster objection challenges unrestricted utility aggregation by considering an entity that receives much more utility from resources than others do.

01 / THE MECHANISM

Why it happens

Ten divisible tokens go to ten ordinary people or one monster. Ordinary-group utility is twice its tokens, monster utility ten times its tokens; a selectable cap displays an added constraint rather than deriving it.

Nozick’s utility-monster objection challenges unrestricted utility aggregation by considering an entity that receives much more utility from resources than others do.

Read the result

Total utility follows the supplied extreme scale. The allocation cap is an additional chosen constraint rather than a theorem derived from aggregation.

02 / FOLLOW IT THROUGH

A worked example

Inspect what an unrestricted total rewards

  1. Allocate all ten tokens to the ordinary group and read total utility twenty.

  2. Move tokens to the monster and inspect total utility rising while ordinary utility falls.

  3. Enable the three-token cap and identify the new constraint separately from your preferred ethical justification.

OPTIONAL DEEPER DETAILGo deeper: inside the model

Inside this model

Ten divisible tokens go to ten ordinary people or one monster. Ordinary-group utility is twice its tokens, monster utility ten times its tokens; a selectable cap displays an added constraint rather than deriving it.

03 / BEYOND THE EXPERIMENT

Where this idea is useful

A practical use

Ask what protects distribution when an aggregate objective gives one recipient overwhelmingly large marginal value.

CHECK YOUR INTUITION

A common misconception

THE TEMPTING CONCLUSION

“A larger utility total guarantees an acceptable distribution.”

THE MORE USEFUL DISTINCTION

The monster case challenges that inference by constructing extreme marginal gains for one recipient; evaluating the distribution needs additional ethical reasoning.

What this explanation leaves out

  • Interpersonal utility comparability, constant marginal values and the optional cap are stipulated. The numbers are not measurements or a complete theory of justice.
ONE MORE QUESTION

Does the cap solve every aggregation problem?

No. It illustrates adding a constraint but does not justify that particular cap or supply a complete account of fair allocation.

TAKE THE IDEA WITH YOU

Which principle would stop a supplied aggregate objective from concentrating everything in one recipient?

Associated thinkers

Associated withRobert Nozick ↗

Associations marked provisional are awaiting source review.

Further reading

Explore the original research or the teaching reference behind this experiment.