MODELS
← Browse the encyclopedia

Encyclopedia · Free preview

Truth—or, more precisely, an accurate understanding of reality—is the essential foundation for any good outcome.

A principle of keeping decision-relevant beliefs responsive to evidence and separate from wishes. Accurate understanding can support a better-informed choice, while uncertainty, values, action, resources, and chance still affect outcomes.

The practical concern is whether a decision depends on a belief that fits the available evidence. Separate what was observed, what is inferred, what is wanted, and what remains unknown. A model can be useful while incomplete, as long as its important assumptions and limits are visible.

Accuracy helps inform a choice but does not determine the entire result. Goals, values, resources, other people, and chance also matter. More inquiry is worthwhile when it could change a consequential decision enough to justify its cost. Sometimes a reversible step can provide better information than trying to settle every question beforehand.

When to use it

When a consequential choice relies on an uncertain belief, a report conceals relevant difficulty, or a desired conclusion is shaping interpretation.

How it can help

Helps expose an assumption that is being treated as fact and identify what evidence would matter to a decision.

Keep exploring

Read the full page.

Create your free access to continue reading and explore the complete library.

Register free with ChatGPT →

Already registered? Use the same button to sign in.

Sign-in shares your email with Michael Simmons to create your site access. No payment required. Newsletter signup is separate. How your data is used