Information Bias
Information bias is the tendency to seek more information than is necessary, believing it will improve decisions, even when it adds no real value.
This bias occurs because people equate more data with better judgment, often ignoring the cost or complexity extra information brings. For example, a manager might delay a hiring decision to gather excessive background checks, even when initial interviews already provided sufficient insight. The bias reflects a discomfort with uncertainty and overconfidence in the power of data.
Recognising a definition is not the same skill as spotting it.
Two scenarios from the app, with distractors drawn from the same family of biases — which is what makes them hard.
Jake is meeting a potential client. He already has the client's company profile and LinkedIn, but he spends an hour digging through the client's old, unrelated blog posts from five years ago to 'understand them better.'
When choosing a restaurant for a casual dinner, she checks the menus of 8 places, reads 30 reviews for each, and looks at 100+ photos of dishes, even though her friend already recommended a good option nearby.
Biases rarely arrive alone.
Understand more. Assume less.
188 biases, 18,869 scenarios, and a record of how you actually decide.
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