CF Dictionary · Decision Making
Pass / Fail
The binary evaluation of a factor at a breakpoint. CF's standard factor-level judgement.
Pass/fail is the binary evaluation of a factor at its breakpoint: the option either meets the threshold or it doesn't.
Pass/fail is CF's default for factor evaluation
- It's binary. Pass or fail, no in-between.
- It's breakpoint-based. The breakpoint defines what "pass" means.
- It composes with "and". All factors pass → option passes.
Why pass/fail works
- No dimension-crossing. You don't try to add price + cuteness.
- No weighting. All factors are equally required to pass.
- Clear success criterion. You know when you're done.
When pass/fail is the wrong tool
- When margins of error are larger than the difference between options.
- When the breakpoint itself is fuzzy.
- When the goal is to maximise something rather than meet a threshold. (CF argues that maximising is usually less useful than thresholding.)
CF's multi-factor recipe
For each factor:
- Define the breakpoint.
- Evaluate each option: pass or fail.
- Apply pass/fail: usually "all pass = pass".
"If you multiply pass/fail factors, it's the same as using 'and' on them. The result is 1 (pass) if every factor works and 0 (fail) otherwise." — criticalfallibilism.com