# Humes Guillotine

> You cannot derive an "ought" from an "is" without bridging logic

- Skill: `lev-os/humes-guillotine` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lev-os/humes-guillotine`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lev-os/humes-guillotine/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: lev-os (https://skillmd.com/u/lev-os)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/lev-os/humes-guillotine

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# Hume's Guillotine

## Core Concept

Hume's Guillotine, also known as the is-ought problem, states that you cannot logically derive prescriptive statements (what ought to be) from descriptive statements (what is) without additional normative premises. David Hume observed that philosophers often shift from "is" statements to "ought" statements without explanation, expressing "some new relation or affirmation" that requires justification.

The guillotine logically severs the connection between facts and values - observations about reality don't automatically entail moral judgments or prescriptions for action.

## When to Use

- Evaluating policy arguments that leap from data to recommendations
- Analyzing ethical arguments in AI, technology, and system design
- Identifying hidden assumptions in business strategy
- Scrutinizing economic recommendations
- Detecting rhetorical sleight-of-hand in debates
- Clarifying the gap between research findings and action plans

## Implementation

### 1. Identify the Descriptive Claim (IS)
What factual statement is being made about reality?
- "Unemployment is at 8%"
- "Users click ads more when they're anxious"
- "This algorithm discriminates by race"

### 2. Identify the Prescriptive Claim (OUGHT)
What action or value judgment follows?
- "We should implement austerity"
- "We ought to maximize anxiety-inducing content"
- "We must ban this algorithm"

### 3. Locate the Missing Bridge
What unstated normative principle connects IS to OUGHT?
- Hidden: "We ought to reduce unemployment through spending cuts" (value judgment)
- Hidden: "We ought to maximize engagement at any cost" (ethical principle)
- Hidden: "We ought to prevent discrimination" (moral axiom)

### 4. Make the Bridge Explicit
Force the argument to state its normative assumptions:
- "Given that we value fiscal responsibility over short-term employment, we should..."
- "If we prioritize engagement over user wellbeing, then we should..."
- "Because fairness is a core principle, we must..."

### 5. Evaluate the Bridge
Now you can assess whether you accept the normative premise:
- Do you agree with the underlying values?
- Are there competing values?
- What are the tradeoffs?

### 6. Reject Unbridged Leaps
If someone won't state their normative premises, the argument is incomplete. Facts alone don't prescribe action.

## Real-World Examples

**Policy and Economics**
- **IS**: "Tax cuts increase GDP growth by 0.5%"
- **OUGHT**: "Therefore we should cut taxes"
- **Missing bridge**: "We should prioritize GDP growth over income equality, public services, or debt reduction"
- **Application**: Demand the speaker defend their value priorities

**Property Valuation**
- **IS**: "Comparable properties sold for $500K"
- **OUGHT**: "This property should be valued at $500K"
- **Missing bridge**: "Market comparables are the most reasonable basis for valuation" (methodological choice)
- **Application**: Change valuation reporting from "accuracy" to "reasonableness" to acknowledge normative choices

**AI Ethics**
- **IS**: "This hiring algorithm uses race as a predictive feature"
- **OUGHT**: "We should remove race from the algorithm"
- **Missing bridge**: "Fairness requires demographic parity" vs. "Fairness requires predictive accuracy"
- **Application**: Surface competing definitions of fairness before prescribing solutions

**Workplace Culture**
- **IS**: "Remote work reduces spontaneous collaboration by 30%"
- **OUGHT**: "We should mandate return to office"
- **Missing bridge**: "Spontaneous collaboration is more valuable than flexibility, autonomy, and reduced commute costs"
- **Application**: Debate the underlying values before declaring policy

**Product Strategy**
- **IS**: "Dark patterns increase conversion by 15%"
- **OUGHT**: "We should implement dark patterns"
- **Missing bridge**: "Short-term conversion is more important than trust, brand reputation, and user autonomy"
- **Application**: Force leadership to explicitly state and defend their ethical priorities

## Benefits

**Intellectual Clarity**
- Expose hidden assumptions in arguments
- Separate empirical questions from value questions
- Understand what's actually being debated

**Better Decisions**
- Make value tradeoffs explicit and debatable
- Avoid false sense of objectivity
- Recognize when disagreement is about values, not facts

**Ethical Rigor**
- Prevent smuggling in value judgments as facts
- Force explicit moral reasoning
- Enable genuine ethical debate

**Communication**
- Clarify what's contested vs. agreed
- Find real source of disagreement
- Build arguments on explicit foundations

## Common Pitfalls

- **Naturalistic Fallacy**: "It's natural, therefore it's good" - nature doesn't dictate values
- **Pseudo-objectivity**: Dressing value judgments in scientific language
- **False Bridges**: "Studies show" doesn't bridge IS to OUGHT - still need normative principle
- **Paralysis**: Don't use this to avoid all action - just make values explicit
- **Strawman**: Modern naturalists argue goal-directed behavior creates valid IS-OUGHT bridges

## When NOT to Apply

**Instrumental Reasoning**
"To achieve goal X, you should do Y" is valid when goal acceptance is assumed
- Not a category error if goal is stipulated

**Shared Values Context**
When normative premises are genuinely shared and obvious, don't be pedantic
- "People are suffering" → "We should help" (in humanitarian context)

**Pragmatic Constraints**
Sometimes action required before full moral philosophy developed
- Emergency decisions can't wait for bridging logic

## Relationship to Other Frameworks

**Moore's Open Question**
G.E. Moore: For any naturalistic definition of "good," we can always ask "But is that good?"
- Related critique of deriving values from facts

**Sagan Standard**
"Extraordinary claims require extraordinary evidence"
- Hitchens's Razor focuses on evidence for facts
- Hume's Guillotine focuses on justification for values

**Bayesian Reasoning**
Helps with IS (updating beliefs based on evidence)
- Doesn't help with OUGHT (choosing utility functions)

**Utilitarian Calculus**
Assumes bridge: "We ought to maximize utility"
- Hume forces you to defend this assumption

## Historical Context

**David Hume** (1711-1776)
- "A Treatise of Human Nature" (1739-1740), Book III, Part I, Section I
- Observed that moral philosophers shift from "is" to "ought" without justification
- Fundamental challenge to moral philosophy

**Modern Responses**
- **Naturalists**: Goal-directed behavior bridges IS-OUGHT without category error
- **Intuitionists**: Some moral truths are self-evident, don't need derivation
- **Constructivists**: "Ought" emerges from social agreement, not logical derivation

**Practical Impact**
- Economics: Fact-value distinction in policy analysis
- AI Ethics: Embedded values in algorithmic systems
- Legal Theory: Positive law vs. natural law debates

## Success Metrics

- Arguments make normative premises explicit
- Fewer false appeals to "objectivity" in value-laden decisions
- Clearer identification of where disagreement lies (facts vs. values)
- Better-reasoned ethical frameworks in organizations
- More honest policy debates

## Practical Application Framework

**Step 1**: Listen for IS-OUGHT transition
**Step 2**: Identify the descriptive claim (what is)
**Step 3**: Identify the prescriptive claim (what should be)
**Step 4**: Ask: "What normative principle connects these?"
**Step 5**: Evaluate whether you accept that principle
**Step 6**: Debate the principle, not just the facts

## Key Insight

Hume's Guillotine doesn't prevent action or deny moral reasoning - it demands intellectual honesty. Facts inform decisions but don't dictate them. Values, goals, and ethical principles do the prescriptive work. By making these explicit, we can have genuine debates about what matters, rather than disguising value judgments as inevitable conclusions from data. The guillotine cuts through false objectivity to reveal the moral choices we're actually making.

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**Primary Sources**: David Hume "A Treatise of Human Nature" (1739), Modern naturalist philosophers, Davidson, Grice
**Related Concepts**: Naturalistic Fallacy, Moore's Open Question, Fact-Value Distinction, Instrumental Rationality
**Complexity**: Medium - concept simple, application requires careful analysis
**Estimated Learning**: 30 minutes to understand, practice to consistently identify IS-OUGHT leaps