Heuristic
Estimate before the number arrives
Give yourself a reference point before someone else — or an AI — gives you one.
When it fits
- You need a numerical estimate and have not yet seen the suggested number.
When to avoid it
- If you already saw the number, do not reconstruct an 'independent' estimate after the fact. Use separate evidence or another estimator and disclose the exposure.
Why it matters
Before you see a suggested number, write your own range and the assumptions behind it. Then compare evidence, not authority. If the new estimate reveals something you missed, update. If it only supplies a number, that is not yet a reason.
Steps
- Define the quantity, units, scope, and time period.
- Use comparable cases or a task breakdown to write a range and key assumptions.
- Read the suggested number. Compare its assumptions and evidence with yours.
- Keep both estimates and record why you changed — or did not change — your view. Compare them with the eventual outcome when possible.
An example
A team records a delivery range before opening an AI estimate. The model points out a real dependency the team missed, so the range changes. The useful input was the dependency, not the fact that software produced a number.
Check your result
Was the first range recorded before exposure? Can every later change be traced to new evidence or an explicit assumption?
Keep this limit in mind
- If you already saw the number, do not reconstruct an 'independent' estimate after the fact. Use separate evidence or another estimator and disclose the exposure.
- This general reasoning aid does not replace professional advice in high-stakes decisions.
Connected ideas
Useful withAnchoring effectUseful with
Flip the frame, keep the facts
Evidence and sources
Numerical anchoring research examines how a comparison with a starting number can influence a later judgment; reported effects vary across conditions.
Supports the existence and condition dependence of anchoring effects; does not validate the corpus procedure.
Fifty Years of Anchoring Effects: A Theoretical Reintegration and Meta-Analysis · Publisher abstract and article summary
All sources (1)
- Fifty Years of Anchoring Effects: A Theoretical Reintegration and Meta-Analysis — Dan R. Schley, Evan Weingarten