AI Wealth Truth (88): Why Feedback Delay Makes You Unable to Learn
Causal ambiguity: when outcomes come years later, you cannot build correct causal links. Much of what you call experience is wrong
I. You made a decision. Years later, the outcome appears. Was the outcome caused by that decision, or by other factors? It is hard to judge.
II. This is the problem of feedback delay (Delay in Feedback). When the gap between action and outcome is too long, you cannot build correct causal links. Much of your "experience" may be wrong.
III. Why does feedback delay make learning hard?
IV. The brain needs timely feedback to learn. Touch fire and it hurts immediately, so you learn not to touch it. But investment decisions may take five years to see. When feedback arrives, you may already have forgotten why you decided that way.
V. There are too many confounders. Between action and result, countless other variables intervene. Which factor caused the result? Attribution becomes hard.
VI. Sample size is too small. Major life decisions happen only a few times. Changing jobs, buying a home, marrying. You cannot identify patterns statistically. Every case is a special case.
VII. In wealth-related areas, feedback delay is especially severe:
VIII. Investment feedback can take years. A stock you buy today may take ten years to show whether it was right. In between there are countless short-term swings. Short-term swings are not real feedback.
IX. Education payoff is delayed for more than a decade. Was your major choice right? You only know after career development. It may take ten years to evaluate. While studying, you cannot see the consequence.
X. Health feedback can take decades. Today's lifestyle affects your health at 60. But you cannot see the outcome today. Without immediate feedback, behavior does not change.
XI. Relationship investments have delayed payoffs. Relationships you maintain today may pay off five years later. You do not know which relationships will matter. You cannot predict it. You can only invest broadly.
XII. What problems does feedback delay create?
XIII. Wrong empiricism. You think you learned a lesson, but your causal attribution is wrong. "Last time I did this and succeeded, so this time I will do it again." Maybe it was luck, not strategy. Experience is not correctness.
XIV. Short-sighted behavior. Because long-term feedback is slow, people prefer things with immediate feedback. Scrolling has immediate reward. Learning does not. Short-term feedback dominates behavior.
XV. Overconfidence. With delayed feedback, people tend to believe they are right. "Not failed yet means success." Failure feedback may still be on its way.
XVI. In the AI era, does the feedback problem change?
XVII. AI can speed up some feedback. A/B testing, rapid iteration, real-time data analysis. In some domains, feedback cycles shorten. Technology accelerates feedback loops.
XVIII. But fundamental feedback delays remain. Health, relationships, core capabilities still take years. AI cannot change life cycles. Feedback delay of slow variables is physical.
XIX. AI may create fake feedback. AI can give instant approval (likes, interactions). But that is not real life feedback. Short-term AI feedback can distort long-term behavior.
XX. How do you deal with feedback delay?
XXI. 1. Use proxy metrics. Find short-term indicators correlated with long-term outcomes. For example: instead of long-term investment returns, look at process discipline. Use process metrics instead of outcome metrics.
XXII. 2. Learn from others' experience. Your own sample size is too small. Learn from books, cases, mentors. Use others' feedback to supplement your own.
XXIII. 3. Use probabilistic thinking instead of binary thinking. Do not ask "is this decision right or wrong". Ask "does this decision have high expected value". You control decision quality, not outcomes.
XXIV. 4. Keep a decision journal. Record your thinking and assumptions when you make decisions. Years later, review and test whether your reasoning was correct. Let your past self talk to your present self.
XXV. 5. Accept uncertainty. Even if you do everything right, results can still be bad. That does not mean the decision was wrong. Distinguish decision quality from outcome quality.
XXVI. Feedback delay is one of the biggest obstacles to learning. You think you learn from experience. But experience can be misattributed. Your "experience" may be an illusion. In the AI era, some feedback is faster. But fundamental life feedback is still slow. Use better thinking frameworks to compensate for feedback scarcity. This is the ability to make decisions under uncertainty.
AI Wealth Truth (87): Why "Slow Variables" Matter More Than "Fast Variables" for Your Fate
System dynamics: you stare at stock price swings and ignore skills, health, and relationships. You are watching the wrong layer
AI Wealth Truth (89): Why Complex Systems Make Experts' Forecasts Worthless
Chaos theory and finance: markets are complex systems. Tiny differences in initial conditions create totally different outcomes, so long-term predictions are nonsense
AI Practice Knowledge Base