Awe (Keltner)
Dacher Keltner's research: the emotion of encountering vastness reliably reduces self-focus and inflammation, and increases prosociality.
"Smaller self, bigger world."
What is Awe (Keltner)? Dacher Keltner's research: the emotion of encountering vastness reliably reduces self-focus and inflammation, and increases prosociality. Culture rituals; reducing ego-driven friction in leadership teams.
Keltner's lab studies on nature, music, and 'collective effervescence.'
Culture rituals; reducing ego-driven friction in leadership teams.
Build awe walks (15 min, looking up and out) into the executive routine.
Use the model. Pick the move.
Dacher Keltner's research: the emotion of encountering vastness reliably reduces self-focus and inflammation, and increases prosociality. You've just seen this: Keltner's lab studies on nature, music, and 'collective effervescence.' Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Awe (Keltner)
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Awe (Keltner) can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Awe (Keltner) most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Awe (Keltner)?
- If we removed every payoff for Awe (Keltner), what behavior would replace it?
- Who benefits when Awe (Keltner) persists — and who pays the cost?
- People defend the status quo using the language of awe (keltner).
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Awe (Keltner) through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Awe (Keltner)?
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Which best describes Awe (Keltner)?
Worked example, counter-example & concept map
On-demand AI analysis grounded in the Lab's research. Cached on your device after first run.
When you encounter Awe (Keltner), your default mode network folds the experience into your ongoing story-of-self — which is why the same fact lands differently depending on who you think you are.
Self-referential thought, mind-wandering, narrative-of-self, mental time travel. Most of your waking thought is this network running scenarios about you, your status, your past, and your future.
See Default Mode in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
A group decides on a course of action that nobody actually wants, because everyone assumes others prefer it.
Power tends to corrupt, and absolute power corrupts absolutely.
We attribute our own actions to situations but others' actions to their character.
We favor people who are similar to us or who like us.
Sacrificing for others without expecting a personal reward.
Masking the sponsors of a message to make it appear grassroots.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
Brain region for planning, impulse control, and executive function.
Scaling rewards push systems past the point where they can hold human nuance.
Generalizing from winners while ignoring identical losers.
Start from the customer outcome and reason backward to today.
It's better because it's newer.
Federal oversight intended to protect tribal assets creates friction that devalues the land.
Digital-age learning theory: knowledge lives in networks; the skill is forming and pruning the right connections.
We dismiss the ideas and merits of people we dislike.
False information presented as legitimate journalism.
Cue → routine → reward.
Redesigning roles around AI capability.
Today's metrics achieved by quietly borrowing from tomorrow.