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

  1. Define the quantity, units, scope, and time period.
  2. Use comparable cases or a task breakdown to write a range and key assumptions.
  3. Read the suggested number. Compare its assumptions and evidence with yours.
  4. 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 with
Anchoring effect
Useful with
Flip the frame, keep the facts

Evidence and sources

Supports

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)