Update beliefs explicitly when new information arrives
Treat new information as a reason to state a revised probability, not as confirmation of the old one.
Key takeaways
- What it is: Treat new information as a reason to state a revised probability, not as confirmation of the old one.
- Why it works: Motivated reasoning causes people to accept confirming evidence uncritically and scrutinize disconfirming evidence heavily. Explicitly updating a stated probability when new information arrives counteracts this: it forces engagement with whether the new information actually moves the probability and by how much, rather than allowing the old position to persist through selective attention.
- Evidence: Plausible mechanism, limited direct outcome data.
- Avoid: Saying "that changes things" without specifying how your probability changed — vague acknowledgment of new information is not an update.
Why it works
Motivated reasoning causes people to accept confirming evidence uncritically and scrutinize disconfirming evidence heavily. Explicitly updating a stated probability when new information arrives counteracts this: it forces engagement with whether the new information actually moves the probability and by how much, rather than allowing the old position to persist through selective attention.
How to do it
- 1When new information arrives, ask: does this change my probability estimate? By how much?
- 2State the updated probability explicitly, not just the direction of change.
- 3Distinguish between new information (genuine update trigger) and noise (random fluctuation without evidential weight).
- 4Track how often new information actually moved your estimate — this calibrates your updating sensitivity.
What the evidence says
MechanisticBayesian updating is the normative model for belief revision under uncertainty. Research on belief perseverance and confirmation bias shows people update less than the evidence warrants; interventions that force explicit probability statements improve updating.
Honest caveat: Bayesian updating is prescriptive; human updating is imperfect even with training, and overconfident updating (moving too much on weak evidence) is also a documented error.
- — Lord, Ross & Lepper (1979), belief perseverance after evidential challenge, Journal of Personality and Social Psychology
Common mistake
Saying "that changes things" without specifying how your probability changed — vague acknowledgment of new information is not an update.
IX Coach prompts explicit probability revision when you report new information, so updating is a concrete act rather than a gestural one.
Practice this with IX Coach →