# Scope Insensitivity > Force proportional analysis when emotional responses fail to scale with problem magnitude - Skill: `lev-os/scope-insensitivity` (Agent Skill) - Install (CLI): `npx skillmds@latest add lev-os/scope-insensitivity` - Raw SKILL.md: https://api.skillmd.com/api/skills/lev-os/scope-insensitivity/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/scope-insensitivity --- # Scope Insensitivity ## One-Liner Emotional and economic responses fail to scale proportionally with problem magnitude, treating vastly different scales similarly. ## Core Insight Scope insensitivity (or scope neglect) is a cognitive bias where people's valuations, emotional responses, and willingness to act don't increase proportionally with the magnitude of a problem. Saving 2,000 birds vs. 200,000 birds from an oil spill elicits similar donations and emotional intensity. The bias reveals that humans use affective heuristics (emotional shortcuts) rather than analytical reasoning when evaluating large-scale problems, leading to systematic undervaluation of massive issues. ## Mental Model ``` Rational Response: Problem Size: 1x 10x 100x 1000x Response: | || ||| |||| Actual Response (Scope Insensitivity): Problem Size: 1x 10x 100x 1000x Response: | |.2 |.3 |.4 Psychic Numbing Effect: Individual victim → Maximum emotional response 10 victims → 70% of max response 100 victims → 40% of max response 10,000 victims → 20% of max response ``` **Key Mechanism**: Affect Pool Theory - Emotional responses draw from finite "pool" of feelings - Adding victims dilutes per-person response rather than multiplying total response - "The death of one is a tragedy; the death of millions is a statistic" (attributed to Stalin) ## When to Use - **Charitable appeals design**: Avoid overwhelming with scale; use identifiable victims - **Risk communication**: Frame large-scale dangers through relatable individual impacts - **Cost-benefit analysis**: Correct for scope insensitivity in willingness-to-pay studies - **Policy evaluation**: Don't let emotional equivalence obscure vastly different scales - **Resource allocation**: Force proportional analysis despite equivalent emotional pulls - **Crisis response**: Recognize when under-reacting to large-scale vs. small-scale harm ## Execution Steps ### 1. Detect Scope Insensitivity - Compare valuations/responses across different magnitudes of same problem - Test if doubling problem size doubles willingness to pay/help - Look for flat emotional responses despite exponential scale differences - Identify "all victims feel equivalent" emotional saturation ### 2. Force Proportional Thinking - Convert to per-unit metrics: Cost per life saved, per species protected, per person helped - Create explicit comparison tables showing scale differences - Use logarithmic visualizations to reveal magnitude gaps - Ask "Would you pay 10x more to help 10x more people?" repeatedly ### 3. Leverage Extension Neglect Countermeasures - **Unit asking**: Request per-unit donations ($X per bird) rather than lump sum - **Reference class comparison**: "This saves 100x more than typical intervention" - **Concrete visualization**: "Enough people to fill 50 stadiums" vs. "500,000 people" - **Sequential presentation**: Show individual cases first, then aggregate ### 4. Design Around Identifiable Victim Effect - Lead with individual story, then scale ("and 10,000 others like Sarah") - Use before/after individual transformations, then multiply - Create personal connection first, leverage to proportional response - Avoid leading with statistics that trigger psychic numbing ### 5. Implement Decision Procedures - Cost-effectiveness analysis with explicit per-unit calculations - Forced ranking across scales to reveal true priorities - Devil's advocate requirement: "What if this were 10x larger?" - External benchmarks from domains where scope sensitivity exists ### 6. Communicate Corrected Valuations - Present proportional analysis alongside emotional appeals - Use "per life saved" metrics for health interventions - Show opportunity cost: "Fixing this small thing costs enough to fix 100 big things" - Educate on the bias itself to create meta-awareness ## Real-World Examples **Charitable Giving (Classic Study)** - Research: Participants asked willingness to pay to save birds from oil spill - Results: $80 for 2,000 birds, $78 for 20,000 birds, $88 for 200,000 birds - Implication: Donations driven by affect, not rational cost-per-bird calculation **Pandemic Response** - Early COVID: Single nursing home death = major news coverage, emotional response - Later COVID: 1,000 daily deaths barely registered emotionally - Mechanism: Psychic numbing + scope insensitivity created policy apathy **Effective Altruism Movement** - Problem: Most charity evaluations ignore cost-effectiveness (scope insensitivity) - Solution: GiveWell calculates cost per life saved, reveals 1000x differences - Insight: Emotional equivalence masks that some interventions are 3 orders of magnitude better **Environmental Policy** - Symbolic species (pandas, whales) receive disproportionate funding vs. ecosystem scale - Single photogenic animal > 100 ecologically critical species without appeal - Forces explicit cost-per-impact analysis to overcome bias ## Common Traps **Trap 1: Assuming More Information Helps** - Providing statistics often worsens scope insensitivity (psychic numbing) - Must combine affect (individual story) with scale (proportional framing) **Trap 2: Outrage Fatigue Excuse** - "People are desensitized to numbers" → True, but doesn't justify bad decisions - Build decision systems that correct for the bias, don't accept it **Trap 3: Identifiable Victim Manipulation** - Using single stories can create disproportionate resource allocation - Need both emotional engagement AND proportional analytical check **Trap 4: Scope Sensitivity Overcorrection** - Becoming purely utilitarian, ignoring legitimate diminishing returns - Some problems don't scale linearly; scope sensitivity isn't always correct ## Psychic Numbing vs. Scope Insensitivity **Psychic Numbing** (Paul Slovic): Emotional response decreases as numbers increase - Focus: Why we feel less per victim as scale grows - Mechanism: Affective system saturates; can't feel proportional to millions **Scope Insensitivity**: Responses fail to track magnitude across all dimensions - Focus: Broader failure to adjust valuation, effort, resources proportionally - Mechanism: Affect heuristic replaces analytical calculation Psychic numbing is one cause of scope insensitivity, particularly for human suffering. ## Cross-Domain Applications **Product Prioritization**: Don't let "cool feature" affect override 100x user impact differences **Security**: Single terrorist attack gets more response than 40,000 annual traffic deaths **Climate Change**: Distant mega-threat triggers less action than local small-scale issues **Healthcare**: Rare disease advocacy outpaces funding proportional to disease burden **Business Strategy**: "Revenue opportunity" pitches fail to scale excitement with actual magnitude ## Adjacent Frameworks - **Affect Heuristic**: Using emotions as information (causes scope insensitivity) - **Psychic Numbing**: Emotional saturation with large numbers (subset of scope insensitivity) - **Identifiable Victim Effect**: Specific person > statistical lives (exploits scope insensitivity) - **Extension Neglect**: Ignoring duration, quantity, or scope in valuation - **Evaluability Hypothesis**: Hard-to-evaluate attributes get underweighted ## Further Reading - Kahneman, Ritov, & Schkade (1999). "Economic preferences or attitude expressions?" - Slovic, Paul (2007). "If I look at the mass I will never act": Psychic numbing and genocide - Hsee & Rottenstreich (2004). "Music, pandas, and muggers: On the affective psychology of value" - Baron & Greene (1996). "Determinants of insensitivity to quantity in valuation" --- **Source Domain**: Military Strategy, Ancient Wisdom & Hidden Gems (07) **Pattern Type**: Cognitive Bias / Judgment & Decision-Making **Practitioner Value**: 8/10 | **Clarity**: 9/10 | **ROI**: 9/10 | **Novelty**: 7/10 | **Cross-Domain**: 9/10 **Total Score**: 42/50