defi-naly

skin-in-the-game

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# Install this skill:
npx skills add defi-naly/skillbank --skill "skin-in-the-game"

Install specific skill from multi-skill repository

# Description

Apply Nassim Taleb's Skin in the Game principles for evaluating trust, designing incentives, and making ethical decisions. Use when assessing advisors, structuring partnerships, evaluating information sources, designing accountability systems, or deciding who to trust. Also use when detecting asymmetric risk-reward situations.

# SKILL.md


name: skin-in-the-game
description: Apply Nassim Taleb's Skin in the Game principles for evaluating trust, designing incentives, and making ethical decisions. Use when assessing advisors, structuring partnerships, evaluating information sources, designing accountability systems, or deciding who to trust. Also use when detecting asymmetric risk-reward situations.
tags: [decide, persuade]


Skin in the Game

Symmetry between risk and reward. Those who get the upside must bear the downside.

The Core Principle

No skin in the game = advice/decisions without consequences = unreliable

Skin in the game = bearing the downside of your decisions = trustworthy signal

Golden Rule (Silver version): Do not do unto others what you would not have them do unto you.

Why it matters: Talk is cheap. Exposure to consequences is the only reliable filter for truth and competence.

The Agency Problem

When someone makes decisions for you without sharing consequences:

Agent (decides) β†’ Outcome β†’ Principal (bears consequence)

Examples:
- Fund managers (fees regardless of performance)
- Politicians (don't live under their policies)
- Consultants (paid for advice, not outcomes)
- Journalists (no cost for being wrong)

Solution: Align incentives. Make agents bear downside:
- Performance fees only
- Clawbacks for bad outcomes
- Reputation systems with memory
- Eat your own cooking

The Bob Rubin Trade

Getting paid for hidden riskβ€”looking successful until catastrophe.

Pattern:
1. Take hidden tail risk
2. Collect steady profits (looks like skill)
3. When Black Swan hits, others pay
4. Blame "unpredictable circumstances"

Examples:
- Bankers before 2008 (bonuses kept, losses socialized)
- Executives with golden parachutes
- Anyone with asymmetric upside/downside

Detection: Ask "What happens to this person if things go badly?"

Don't Tell Me What You Think

"Don't tell me what you think, tell me what's in your portfolio."

Talk is infinitely cheap. Revealed preference (what people do) beats stated preference (what they say).

Applications:
- Advisor recommends investment? Are they invested?
- Doctor recommends treatment? Would they take it?
- Founder says company is great? Are they buying or selling stock?
- Pundit predicts X? Are they betting on it?

Heuristic: Weight advice by the advisor's exposure to being wrong.

The Lindy Effect

For non-perishable things, expected remaining lifespan = current age.

Why it relates to skin in the game: Time is a filter. Things that survive have passed tests. Experts who recommend the novel have no skin in the "it works long-term" game.

Applications:
- Technologies: Old and working > new and promising
- Books: Classics > bestsellers
- Foods: Traditional diets > nutrition fads
- Practices: Time-tested > expert-recommended

Formula: If it's been around for X years and isn't perishable, expect another X years.

The Minority Rule

A small intransigent minority can dictate choices for the majority.

Mechanism: If 3% absolutely won't eat X, and 97% don't care, everything becomes X-free (cheaper to standardize).

Examples:
- Kosher/Halal food in general markets
- Peanut-free policies (few allergic, all affected)
- Accessibility requirements driving design

Implication:
- Small committed groups have outsized influence
- Flexibility is weakness in negotiation
- The stubborn win

Operators vs Talkers

Two classes of people:

Operators Talkers
Do things Describe things
Bear consequences No consequences
Learn from mistakes No feedback loop
Respect from peers Respect from outsiders
Skin in the game No skin in the game

Talker professions: Journalists, academics, consultants, pundits, most managers

Operator professions: Traders, entrepreneurs, surgeons, pilots, craftsmen

Heuristic: Take advice from operators, not talkers. Ask "Have they done this?"

Ethical Asymmetry

Via negativa ethics: Avoiding harm is more robust than doing good.

  • "Do no harm" > "Do good"
  • Not lying > actively telling truth
  • Not taking > giving

Why:
- Harm is measurable; good is subjective
- Unintended consequences of "doing good" can cause harm
- Those who "do good" often have no skin in the game

Rule: First, do no harm. Then, if you understand consequences, do good.

Symmetry Tests

Before trusting or acting, apply symmetry tests:

1. Hammurabi's Law: Would the builder live in the building?
- "If a builder builds a house and it collapses and kills the owner, the builder shall be put to death"

2. The Wrath of the Customer: Would you be okay receiving what you're giving?

3. The Grandparent Test: Would you do this to your grandmother?

4. The Newspaper Test: Would you be comfortable if this appeared on the front page?

5. The Inversion: Would I take this advice if our positions were reversed?

Detecting Skin in the Game

Signal Skin in Game No Skin
Compensation Tied to outcome Fixed regardless
Personal assets At risk Protected
Reputation Long-term, memorable Forgettable
Reversibility Must live with decision Can walk away
Information Shares downside Asymmetric knowledge

Questions:
- What does this person lose if they're wrong?
- Are they invested in what they recommend?
- Do they face the consequences of their advice?
- Can they exit before the results are known?

Application Checklist

When evaluating advice, partnerships, or systems:

  1. [ ] Does the advisor have skin in the game?
  2. [ ] What do they lose if they're wrong?
  3. [ ] Are they an operator or a talker?
  4. [ ] Would they eat their own cooking?
  5. [ ] Is there symmetry between upside and downside?
  6. [ ] Is this Lindy (time-tested)?
  7. [ ] Am I applying via negativa? (avoid harm first)
  8. [ ] Does this pass the symmetry tests?

Anti-Patterns

  • "Trust the experts" β†’ Which experts? Do they have skin in the game?
  • "Studies show..." β†’ Researchers don't bear cost of being wrong
  • "Best practices recommend..." β†’ Who pays if the practice fails?
  • "We're doing this for your benefit" β†’ Via positiva without consequence
  • Upside without downside β†’ Someone else is bearing the risk
  • "We'll monitor and adjust" β†’ No accountability for the adjustment
  • Hidden asymmetries β†’ If you can't see the downside, you're probably holding it

# Supported AI Coding Agents

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Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.