Belief and Reasoning Biases
Automation bias
Overtrusting automated output.
Example: A driver follows GPS onto a bad route despite visible road signs.
Ask: What would I check manually?
Go DeeperSituation Guide
Biases that can sneak into AI prompts, model interpretation, automation, and prompt-based reasoning.
Belief and Reasoning Biases
Overtrusting automated output.
Example: A driver follows GPS onto a bad route despite visible road signs.
Ask: What would I check manually?
Go DeeperLearning and Performance Biases
Depending on tools instead of understanding the task.
Example: A driver follows GPS onto a bad route despite visible road signs.
Ask: Can I detect when the tool is wrong?
Go DeeperBelief and Reasoning Biases
Monitoring less carefully because a system usually works.
Example: A pilot or operator monitors less carefully because the system usually handles it.
Ask: What failure would I notice too late?
Go DeeperDecision-Making Biases
Seeking or favoring information that supports what you already believe.
Example: Someone searches only for reviews that defend the phone they already want.
Ask: What evidence would change my mind?
Go DeeperBelief and Reasoning Biases
Favoring evidence that supports existing beliefs.
Example: Someone searches only for reviews that defend the phone they already want.
Ask: What is the best opposing evidence?
Go DeeperProbability and Statistical Biases
Data is interpreted to support an existing belief.
Example: Someone searches only for reviews that defend the phone they already want.
Ask: What analysis would challenge the belief?
Go DeeperSocial Biases
Giving extra weight to authority figures.
Example: A suggestion sounds correct mainly because a senior leader said it.
Ask: Is the authority relevant to this claim?
Go DeeperMoral, Political, and Workplace Biases
Overweighting the view of a senior person.
Example: A suggestion sounds correct mainly because a senior leader said it.
Ask: Is rank substituting for evidence?
Go DeeperLearning and Performance Biases
Mistaking easy processing for real mastery.
Example: A video lesson feels easy, so the viewer assumes they mastered the skill.
Ask: Can I recall it later under pressure?
Go DeeperLearning and Performance Biases
Feeling skilled because material feels familiar.
Example: A student recognizes highlighted notes and thinks they can recall them.
Ask: Can I perform without prompts?
Go DeeperMemory Biases
Remembering where to find information better than the information itself.
Example: A student remembers the search phrase but not the answer itself.
Ask: Do I understand this without looking it up?
Go DeeperMemory Biases
Remembering information but forgetting where it came from.
Example: Someone quotes a statistic but cannot remember whether it came from a study or a social post.
Ask: Do I know the source well enough to repeat this?
Go DeeperMemory Biases
Judging likelihood by how easily examples come to mind.
Example: After watching several stories about shark attacks, a beach trip suddenly feels much more dangerous.
Ask: Is this common, or just vivid and easy to remember?
Go DeeperMemory Biases
A repeated claim starts to feel true because many people repeat it.
Example: A rumor about layoffs feels true after enough coworkers repeat it.
Ask: Can I trace this back to a solid original source?
Go DeeperMemory Biases
Seeing an outcome as more predictable after it happens.
Example: After a startup fails, everyone says the warning signs were obvious.
Ask: What was actually knowable beforehand?
Go DeeperMemory Biases
Remembering your choices as better than they were.
Example: After buying a car, a driver notices every feature they like and downplays the repair costs.
Ask: What would I tell a friend making this choice now?
Go DeeperMemory Biases
Later information changes how an earlier event is remembered.
Example: After hearing a friend say the bike was speeding, a witness remembers it moving faster.
Ask: What did I observe directly, and what did I hear later?
Go DeeperMemory Biases
Feeling sure about something that did not happen or happened differently.
Example: A family story is repeated so often that someone feels they remember being there.
Ask: What independent record supports this memory?
Go DeeperBiases that can sneak into AI prompts, model interpretation, automation, and prompt-based reasoning.
Look for the moment a conclusion feels obvious before the evidence, context, or opposite explanation has been checked.
Ask what information is missing, what would change your mind, and whether the strongest counterexample has been considered.