What does it mean that stated values versus revealed values?

What you say you value and what your behavior reveals you value are often different. The gap between stated and revealed values is one of the most important pieces of self-knowledge you can acquire.

Example: A manager says she values work-life balance. She tells her team to leave at five. She writes it into the team charter. She mentions it in every hiring conversation. But her calendar tells a different story. She sends emails at eleven at night. She schedules "optional" Saturday syncs that everyone attends because she attends. She praises the engineer who shipped a feature over the weekend and says nothing about the one who delivered on time during business hours. Her stated value is work-life balance. Her revealed value — the one encoded in her actual behavior, her reward patterns, her time allocation — is uninterrupted output. She is not lying. She genuinely believes she values balance. But her behavior has constructed a system that optimizes for the opposite. Her team does not hear her words. They read her actions. And her actions say: availability is what gets rewarded here. The gap between her stated and revealed values is not a moral failing. It is an information failure. She has never subjected her own behavior to the same scrutiny she applies to her team metrics. If she tracked her email timestamps the way she tracks sprint velocity, the dissonance would be immediately visible. But she has not looked. Most people have not looked. That is what this lesson is for.

Try this: Conduct a seven-day revealed-values audit using three behavioral data streams. (1) Time allocation: at the end of each day, log how you actually spent your time in thirty-minute blocks. Do not plan the blocks in advance — record them after the fact. After seven days, categorize each block by the value it served (health, career, relationships, learning, rest, entertainment, obligation, unclear). Calculate the percentage of your waking hours devoted to each category. (2) Financial allocation: review your spending over the past thirty days. Categorize each transaction by the value it served. Calculate the percentage of discretionary spending in each category. (3) Attention allocation: at three random points each day (set phone alarms), note what you are thinking about. After seven days, categorize your attention captures. Now write two lists side by side. On the left, your stated values — the five things you would tell someone you care about most. On the right, the top five categories from your behavioral data, ranked by combined time, money, and attention share. Compare the two lists. Where they align, your infrastructure supports your values. Where they diverge, you have discovered a gap — not a moral failing, but a design problem. The gap is data. What you do with that data is the work of the next several lessons.