Feedback Loops
Reinforcing and balancing loops drive system behavior.
Explanation
Most systems contain feedback loops that either amplify changes (reinforcing loops) or resist changes (balancing loops). Reinforcing loops create snowball effects where small changes grow larger, like how rich people get richer. Balancing loops maintain stability, like how a thermostat keeps temperature constant. Understanding these loops helps predict how systems will respond to changes.
Real-World Example
Social media: Popular posts get more views (reinforcing) → even more popular. But platform algorithms limit reach eventually (balancing). Housing prices: High prices → people leave → prices drop (balancing). Tech hubs: talent attracts companies → companies attract talent (reinforcing) → San Francisco.
How to Apply
Map the loops: What reinforces? What balances? Where are delays? To change a system: Strengthen desired loops, weaken undesired ones. Add balancing loops to prevent runaway. Remove delays for faster response. Remember: today's solution creates tomorrow's problem through new loops.