TB: Decision Making

Overview

Good decisions and good outcomes are not the same thing, and conflating them is the root error of most decision-making intuitions. The literature converges on three foundational moves: separate the quality of the decision process from the quality of the outcome; understand and pre-correct for systematic cognitive biases; and match decision speed to the reversibility and stakes of the choice.

Core Tension

Rationality is necessary but not sufficient — and may even be dangerous without the right heuristics. Yudkowsky warns that a lot of rationality leads you into new and interesting mistakes before it starts helping. The best practitioners (Munger, Buffett) combine formal decision frameworks with cultivated judgment that resists formalization.

Key Insights Across Sources

Outcomes don't reveal decision quality

  • How to Decide: the quality of the outcome casts a shadow over the quality of the decision. "Resulting" — judging by outcome — is the fundamental error.
  • Fooled by Randomness: survivorship bias makes bad processes look good when they produce lucky outcomes. The cemetery of failed traders is invisible.
  • Poor Charlie's Almanack: invert — ask "what would guarantee failure?" before asking "what would produce success?"

Match decision speed to reversibility

  • How to Decide: when a decision is hard, that's often a signal it's easy — the closeness of options means they're approximately equivalent. Free rolls and low-reversibility decisions warrant opposite speeds.
  • The ONE Thing: dominoes fall sequentially — identify the one action that makes everything else easier or unnecessary, then do that first.
  • How Big Things Get Done: most project failures are decided at conception, not execution. Slow down the irreversible front-end decisions.

Bias is systematic, not random — it can be corrected

  • Seeking Wisdom: mental models as pre-built error-correctors. Charlie Munger's "latticework of models" provides diverse checks against any single cognitive failure.
  • The Thinking Course: perception is the source of almost all thinking errors, not logic. PMI (plus/minus/interesting) forces attention to what you're not naturally seeing.
  • Map and Territory: if you can explain all outcomes equally well, you have zero knowledge. The strength of a model is not what it explains but what it can't.
  • Nudge: choice architecture shapes outcomes before any deliberation begins. Defaults are decisions.

Character matters more than method

  • Poor Charlie's Almanack: temperament beats intellect. Being able to sit still with an uncomfortable truth long enough to act on it is rarer than analytical ability.
  • The Intelligent Investor: Mr. Market is your servant, not your guide. The psychological discipline to hold a position through volatility is the entire edge.
  • Influence: social proof, scarcity, authority, and reciprocity bypass deliberate reasoning. Know the triggers to defend against them.

Contributing Books

Related Concepts

  • Inversion — the decision tool most reliably missed by deliberate analysis
  • Expected Value — the formal backbone of rational decision-making
  • Hard Decisions Are Easy — when options are close, the deciding signal is orthogonal to the comparison
  • Decisions Stacking — the concept underlying decision-stacking and reversibility

Cross-Topic Connections

Backlinks