Why does false dichotomy fail?

The most common reason false dichotomy fails: Replacing every binary with a spectrum just to feel nuanced. Some decisions genuinely require a binary output at the end — ship or don't ship, accept the offer or decline it. The lesson isn't 'never use binaries.' It's that the reasoning process should preserve information as long as possible before compressing to a final yes/no. Premature binary compression is the failure. Late-stage binary decision-making is often necessary.

The fix: Find a decision you recently made using binary framing — approved/rejected, good/bad, yes/no. Write down the actual factors that influenced your judgment. How many distinct dimensions did you compress into two buckets? Rewrite the decision using a scale (1-5 or 1-10) for each dimension. Notice what information reappears when you stop forcing a binary.

The underlying principle is straightforward: Dividing things into only two groups forces a false simplicity.