Frugality of Information in Decision-Making

Key Insight

Cook County Hospital faced a crisis in its Emergency Department with chest pain patients, where doctors' inconsistent diagnoses led to 2-8 percent of genuine heart attack victims being sent home, while 90 percent of admitted patients did not have a heart attack, costing approximately $2,000 per night for a coronary care bed. This demonstrated a critical need for a more accurate and efficient diagnostic method.

Cardiologist Lee Goldman developed an algorithm that streamlined heart attack diagnosis by combining ECG evidence with just three urgent risk factors: unstable angina, fluid in the lungs, and systolic blood pressure below 100. Despite initial resistance from the medical community, Cook County Hospital's two-year trial found Goldman's algorithm was 70 percent more effective than traditional methods at identifying non-heart attack patients and over 95 percent accurate in identifying serious cases, outperforming doctors' 75-89 percent accuracy.

This experiment highlights that 'less is more' in complex decision-making; excessive information can be harmful, not just useless, by confusing the critical underlying patterns. Studies show that confidence increases with more data, but accuracy does not. Just as too many choices paralyze consumers (e.g., in a jam tasting experiment, 30% bought from 6 choices vs. 3% from 24), Blue Team's information overload in Millennium Challenge burdened their decision-making. Effective rapid cognition requires editing, protecting the 'frugality' of snap judgments to see the essential, rather than drowning in data.