Evidence and Uncertainty

Every claim in the framework carries an explicit confidence label and a stated way to challenge it, rather than uniform certainty.

What decision changes?

Before acting on a claim, ask what evidence supports it and what would have to be true for it to be wrong.

Not every claim in the framework carries the same weight. Some are established observations, some are plausible extensions, some are working assumptions the framework needs, and some are open bridges to real-world measurement.

Keeping these apart matters. Treating a bridge assumption as if it were established invites overconfidence. Treating an established point as if it were merely speculative wastes scrutiny where it is not needed.

The practical habit is to ask two questions of any claim: what is the best evidence for it, and what would have to be true for it to be wrong? The included experiments follow this habit by recording negative results alongside positive ones rather than only reporting what worked.

This habit also makes disagreement productive. A reader who doubts a claim can point to the exact assumption or measurement it depends on, rather than rejecting the whole framework at once.

What would count as evidence?

Each chapter names disconfirming evidence directly; experiments record negative results alongside positive ones rather than only reporting what worked.