Reviewing the Results and Extracting the Learning

Explicitly connect what happened to what you believed — and update the belief accordingly.

Why it works

Experiential disconfirmation without explicit review often fails to update the belief: the mind can experience a successful experiment ("I spoke up and nothing terrible happened") while retaining the original belief as a template for the next similar situation. The review step forces explicit integration: "I predicted X, Y happened instead, which means my belief about X should be updated to ___." This is the belief-change step — not the experiment itself, but the deliberate connection from evidence to revised belief. Without it, the experiment is just an experience.

How to do it

1. Review the experiment results against your pre-stated criteria.
2. State explicitly what the results mean for the original belief: "This suggests my prediction was [accurate / partially accurate / inaccurate] because ___."
3. Formulate a revised belief that incorporates the evidence: not "I’m totally fine" (overcorrection) but "I can handle questions better than I thought."
4. Identify what would constitute further evidence — design the next experiment if needed.
5. Add the revised belief to a "belief change" log so it is available for future review.

Evidence

Explicit belief updating is required for cognitive change — experience alone is not sufficient if it is not processed and connected to the prior belief. This is consistent with schema-change research in CBT. Inhibitory-learning research (Craske et al., 2014) reframes this review step as the deliberate consolidation of new, non-threat expectancies that must compete with — rather than erase — the original belief, explaining why unprocessed experience so readily reverts to the old fear. (clinical)

The review step is an established component of behavioral experiments in CBT; its independent contribution has not been studied separately.

Sources

• Craske, M. G., Treanor, M., Conway, C. C., Zbozinek, T., & Vervliet, B. (2014). Maximizing exposure therapy: An inhibitory learning approach. Behaviour Research and Therapy, 58, 10-23.

Common mistake

Concluding "I proved my anxiety was wrong" after one disconfirming experiment — one data point shifts probability; it rarely eliminates a belief. The review should be calibrated, not triumphant.