What to Do When You Need to Decide but Lack Data
For reversible decisions, optimize for speed of learning; for irreversible ones, lean on your values.
Critical thinking, cognitive biases, decision-making, and learning to see clearly. The operating system behind everything else.
For reversible decisions, optimize for speed of learning; for irreversible ones, lean on your values.
Before doubling down, actively try to disprove yourself — conviction that survives challenge is worth having.
Most dubious claims crumble under three honest questions — and if they hold up, update your view.
If your intuition comes from domain experience, listen to it; if it comes from discomfort, trust the data.
Circular thinking means a missing piece, not insufficient effort — write down your assumptions and find the wrong one.
Honestly assess how much was skill, timing, and luck — accurate calibration beats false confidence.
Artificial urgency is a manipulation tactic — legitimate opportunities allow time for thought.
Treat your understanding of the world as a working draft, not a finished document.
Have the courage to commit to your ideas, and the honesty to abandon them when proven wrong.
Build the habit of asking what you might be missing before you decide.
When a problem feels overwhelming, write it down — clarity usually follows.
When the usual approach fails, break the problem down to what you know for certain and reason up from there.
Actively seek out evidence against your beliefs — your brain will not do it for you.
Instead of asking how to succeed, ask what would guarantee failure — then avoid those things.
Past investment should not dictate future decisions — ask whether you would start the same thing today.
Before making a big decision, ask \"and then what?\" at least twice to see past the immediate outcome.
Before you argue against an idea, make sure you can state it in a way its supporters would endorse.
When something keeps failing, look at how the parts interact rather than blaming individual pieces.