On Making Decisions
This is a living document. I update it when I change my mind.
Before you decide
- Classify the decision before optimizing it.
- Is it reversible or irreversible? Recoverable or catastrophic?
- Reversible + low downside + fast feedback → decide quickly and learn through action
- Irreversible + high stakes + slow feedback → slow down and demand better evidence
- Applying irreversible-decision rigor to reversible decisions causes paralysis
- Start with a model, then gather relevant information.
- Define what variables matter, what outcomes are possible, what evidence would change the conclusion
- Information gathering should improve the decision, not just increase knowledge
- Stop when it no longer changes the decision, or when the search becomes justification
- Actively search for disconfirming evidence.
- What would prove this wrong? What would a credible skeptic say? What assumptions might fail?
- Intelligent people are better at defending beliefs than revising them. Seek contradiction deliberately
Managing risk
- Avoid ruin before chasing upside.
- Avoid situations where a single mistake destroys optionality or losses compound faster than learning
- Prefer decisions where failure is survivable, future attempts remain possible, and mistakes teach something
- Long-term success comes from staying in the game long enough for good bets to compound
- Prefer asymmetric opportunities.
- Limited downside, large or nonlinear upside, multiple attempts allowed
- Even mediocre probability becomes attractive when the payoff structure is asymmetric
- High probability + capped upside + meaningful downside often becomes a trap
- Think in probabilities rather than certainties.
- "This will succeed" → "This likely has a 60-70% chance"
- Consider ranges instead of single forecasts. Examine expected outcomes and tail risks
- Good decision-makers remain comfortable under uncertainty rather than false certainty
Mind and emotion
- Use intuition selectively.
- Intuition is compressed experience. It works when you've seen many examples and feedback is reliable
- It fails when the domain is new, feedback is slow, or strong emotions are present
- Combine structured reasoning with earned intuition
- Treat emotional conviction as information, not proof.
- Strong feelings can represent genuine pattern recognition or temporary states like fear, fatigue, or excitement
- When conviction feels overwhelming, pause and ask whether it arises from experience or current state
- Evaluate decisions across different states of mind.
- Revisit major decisions after sleep, after exercise, during calm reflection, during normal stress
- If a decision only feels correct in a particular emotional state, it may not be robust
- Let major decisions mature over time.
- Does the reasoning become clearer over days? Does it remain stable across contexts?
- Good decisions become simpler with time. Weak ones rely on urgency or pressure
- Match speed to reversibility.
- Speed when decisions reverse easily, learning comes through experimentation, opportunities move fast
- Deliberation when consequences are long-lasting, errors are costly, outcomes unfold slowly
Evaluating outcomes
- Separate decision quality from outcome quality.
- Outcomes contain randomness. A sound process can produce poor results, and poor reasoning can occasionally succeed
- Evaluate the reasoning, the evidence available, the quality of assumptions
- Think in long sequences, not isolated events
- Let behavior outrank narratives.
- Consistent follow-through, repeated sacrifices, behavior under pressure
- Statements of intent are weaker evidence than patterns of behavior
- Principles should constrain behavior, not decorate it.
- A principle is real only when it applies even when inconvenient and imposes short-term costs
- If a rule appears only when it benefits you, it is rationalization, not principle
What to optimize for
- Pursue ambitious problems carefully.
- Large problems attract stronger collaborators, create more meaningful impact, offer greater asymmetry of reward
- Pair ambition with realistic milestones, learning loops, and incremental progress
- Vision without feedback becomes fantasy
- Be explicit about what you are optimizing for.
- Meaning, mastery, financial security, freedom, credibility, relationships
- Misalignment occurs when people pursue one goal while believing they are pursuing another
- Protect early intuition but test it through reality.
- Preserve the intuition, test it through small experiments
- Avoid turning untested intuition into large commitment. Curiosity + disciplined testing
- Value experiences that remain meaningful without recognition.
- Would this still feel worthwhile if nobody knew about it?
- Internal satisfaction sustains motivation far longer than recognition alone