·3 min read
Probability vs Plausibility: How a Good Story Tricks Your Brain
Bayesian thinking shows why a vivid story beats a base rate, and why your conjunction fallacy keeps choosing the wrong answer about a stranger named Karen.
Framework
First Principles Thinking
First principles thinking strips away inherited explanations, default answers, and stale assumptions. It asks what is actually true about this decision, then rebuilds your options from those truths instead of from convention, social proof, or borrowed confidence.
From Aristotle
When this helps
- The answer you are considering feels copied from the market, your industry, or your past self.
- The decision rests on assumptions that nobody has recently checked against current evidence.
- You need to simplify a complex decision without pretending the complexity does not exist.
How to use it
Step 1
Surface the assumptions
Write the beliefs, constraints, and inherited rules that seem to define the decision. Include anything you are treating as fixed without recent evidence.
Step 2
Test what is actually true
Challenge each assumption against direct evidence, current data, or constraints that genuinely cannot change. Remove what is convention, habit, or borrowed confidence.
Step 3
Rebuild from the facts
Use only the verified truths to generate options. Solutions that were invisible under the old framing often appear once the assumptions are cleared.
Watch for
- Calling an opinion a first principle because it feels obvious or widely shared.
- Stripping away context that is genuinely relevant, not just inconvenient.
- Using analysis as a way to avoid choosing after the assumptions are clear.
Related thinking traps
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·3 min read
The Narrative Fallacy: When Good Stories Make Bad Decisions
The narrative fallacy is the cognitive bias that lets a good story stand in for actual evidence. Here is how it shapes our decisions, and our marketing.
Try it now
What am I treating as true only because I have heard it repeated?
Open ClearMind