What is either-or fallacy?

Example: Your team evaluates candidates as 'hire' or 'no hire.' One interviewer says no hire because the candidate lacked system design depth. Another says no hire because they seemed arrogant. A third says no hire because they want too much money. The binary output — no hire — hides three completely different signals. When the hiring manager reviews the pipeline, all they see is a row of rejections. They can't distinguish a compensation mismatch (easily fixable) from a skills gap (trainable) from a cultural concern (harder to change). The binary collapsed three dimensions of information into one bit.

This concept is part of Classification and Typing in the How to Think curriculum.