Review candidate judgments before confidence, first impressions or outcome stories become stronger than the evidence.
Open →Decision technique
Independent estimate before the anchor
Create a reference point before seeing a strong external number or recommendation.
When to use
A specific reasoning move for a specific problem.
Before estimates, negotiations, AI recommendations or expert forecasts where the first number may become an anchor.
Procedure
Run the technique.
- Hide or postpone the external estimate when practical.
- Write your own estimate or range and assumptions.
- Then inspect the external number.
- Record why your estimate changed, if it changed.
Limit
What this technique cannot guarantee.
Independent estimates can still be poor; use reference classes and evidence when available.
Situations
Where this may be useful.
Estimate time and effort with an outside view instead of relying only on the current plan.
Open →Compare tools using precommitted criteria rather than demos, authority or the first price shown.
Open →Protect a negotiation from the first number and from pressure to justify a position already taken.
Open →Use AI to expand research without treating fluent text, repeated output or model confidence as verification.
Open →Evidence-linked concepts
Why this check may matter.
Read the evidence and limits before treating this technique as relevant.
Open →Practice this technique
See when the move becomes useful.
A sponsor says the migration should finish in twelve weeks. The delivery team then estimates each work package while that date remains visible.
Skill: ForecastingOpen scenario →A vendor opens with a three-year price of €900,000. Internal discussions now focus on whether a 15% discount is enough, although the team never estimated value or alternatives independently.
Skill: Evidence evaluationOpen scenario →A supplier opens at €120 per unit. The buying team immediately discusses whether €105 would be a good deal, although no independent range was prepared.
Skill: Decision making under uncertaintyOpen scenario →Before reviewing the source material, a researcher asks an AI assistant for the likely explanation. The rest of the search follows the categories in that first answer.
Skill: AI-assisted reasoningOpen scenario →
