Frequently asked questions about thinking, epistemology, and cognitive tools. 9738 answers
Recording what you tested and what happened creates a validation history.
Recording what you tested and what happened creates a validation history.
Pick a schema you tested recently — a belief you put against reality in any form (a prediction, a conversation, an experiment). Write a validation record with five fields: (1) the schema as you held it before testing, (2) what you did to test it, (3) what you expected to happen, (4) what actually.
Documenting only your successes. If your validation log contains nothing but confirmations, you are not documenting — you are curating a highlight reel. The most valuable entries are the ones where reality surprised you, because those are the entries that will actually change how you think. A.
Recording what you tested and what happened creates a validation history.
Even a well-tested schema may fail in new contexts or at different scales. Validation tells you where a schema works, not that it works everywhere. The boundaries of your tested conditions are the boundaries of your warranted confidence.
Even a well-tested schema may fail in new contexts or at different scales. Validation tells you where a schema works, not that it works everywhere. The boundaries of your tested conditions are the boundaries of your warranted confidence.
Select a schema you consider well-validated — something you have tested and believe to be true. Write it down as a single declarative statement. Then systematically probe its boundary conditions by answering six questions: (1) In what specific contexts have I actually tested this? (2) What.
Treating validation as proof of universality. The failure pattern is: you test a schema, it passes, and you unconsciously upgrade it from "validated within tested conditions" to "true in general." This is the ecological validity error applied to personal epistemology. Every validation has a scope.
Even a well-tested schema may fail in new contexts or at different scales. Validation tells you where a schema works, not that it works everywhere. The boundaries of your tested conditions are the boundaries of your warranted confidence.
Confidence based on tested schemas is categorically different from confidence based on untested assumptions.
Confidence based on tested schemas is categorically different from confidence based on untested assumptions.
Pick one belief you hold with high confidence — something you'd rate at 90% or above. Write it down as a testable claim. Now list the actual evidence you have for it: not impressions, not 'everyone knows this,' but specific observations, experiences, or data points. Count them. Then list any.
Treating the feeling of confidence as evidence of correctness. You finish testing a schema, find three supporting cases, and feel certain — but you never checked for disconfirming evidence, never tested the boundary conditions, never asked whether the supporting cases were independent. High.
Confidence based on tested schemas is categorically different from confidence based on untested assumptions.
Finding out your schema is wrong teaches you more than confirming it is right.
Finding out your schema is wrong teaches you more than confirming it is right.
Finding out your schema is wrong teaches you more than confirming it is right.
Finding out your schema is wrong teaches you more than confirming it is right.
Identify a schema you hold with high confidence — a belief about yourself, your industry, your relationships, or your capabilities. Write it down as a clear proposition. Now design three specific observations or experiments that could falsify it. Not tests that would confirm it — tests that would.
Treating invalidation as failure rather than information. When a schema you have held for years is falsified, the natural emotional response is defensiveness — you feel wrong, exposed, foolish. The failure mode is letting that emotional response prevent you from extracting the information the.
Finding out your schema is wrong teaches you more than confirming it is right.
Schemas need ongoing testing because the world they model keeps changing.
Schemas need ongoing testing because the world they model keeps changing.