Consequences & learning

A result is information

A choice can have immediate effects, delayed effects and effects on other people. A good result does not prove that the reasoning was sound, just as a poor result does not establish that a reasonable decision was careless. Baron and Hershey’s experiments examined outcome bias: judgments of decision quality changed with the outcome, despite the information available beforehand. [1]

An everyday example

Illustration: You leave ten minutes for a journey and arrive on time because every crossing is clear. That success does not establish a reliable travel plan. On another day, a reasonable allowance may still fail because of an unusual disruption. Learning requires considering what was foreseeable and whether the plan would work across ordinary conditions.

Turn learning into a next step

Write what you expected, what happened and which assumption needs revision. Then form one specific response to a foreseeable situation. Implementation-intention research examines plans that connect an anticipated cue with a chosen action. For example, an illustrative travel plan might be to check the route before leaving when an appointment has a firm start time. [2]

Limits and reflection

Planning cannot control other people or prevent every disruption. Do not judge a person’s motives from one outcome, and do not assume that a successful shortcut is safe to repeat. Ask whether the next step is feasible, how its effects will be noticed and when it should be reviewed. Repeated observations can improve a decision, while remaining uncertainty should stay visible rather than being rewritten as certainty after the event.

Related learning

Emotion and uncertainty

Deliberation and trade-offs

Transparency, oversight & accountability

Needs and motivation

External Resources