Contextomy
Removing a quote from its context to distort its meaning.
"A half-truth is a whole lie with good PR."
What is Contextomy? Removing a quote from its context to distort its meaning. Marketing and internal reporting both suffer from context stripping.
A customer testimonial is edited to sound glowing when the full quote was mixed.
Marketing and internal reporting both suffer from context stripping.
Show the full source for any claim that depends on a quote.
Use the model. Pick the move.
Removing a quote from its context to distort its meaning. You've just seen this: A customer testimonial is edited to sound glowing when the full quote was mixed. Which lever does the model recommend?
Pick a lever. There are no neutral ones — every incentive funds a behavior somewhere.
Pick a reaction to Contextomy
One tap. We'll point you at the most useful next surface based on how this hits.
The full taxonomy entry
Every concept in the Atlas uses the same structure — so Contextomy 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 Contextomy most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Contextomy?
- If we removed every payoff for Contextomy, what behavior would replace it?
- Who benefits when Contextomy persists — and who pays the cost?
- People defend the status quo using the language of contextomy.
- 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 Contextomy through 3 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Do you actually know Contextomy?
Three quick questions. Result is saved into your review streak — come back when the term is due to lock it in.
Which best describes Contextomy?
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 Contextomy, your prefrontal cortex has to do extra work to override the automatic response — and that override budget is finite.
Executive control, planning, impulse override, working memory, System 2. First thing to go offline under stress, fatigue, or low blood sugar. Why your 4pm decisions are worse than your 9am ones.
See Prefrontal in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Deriving general rules from specific examples; the leap from instance to concept.
The brain evolved to reason adaptively, not always truthfully, to reduce the cost of errors.
We solve problems by adding, even when subtracting would be better.
Assuming that if one option is true, another must be false, when both can be true.
Presuming a purposeful actor behind events that may have no actor at all.
What cannot be settled by experiment is not worth debating.
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.
Alignment between verbal message, tone, posture, and underlying intent. Audiences detect the gap.
Actively seeking evidence that would disprove your hypothesis.
Negative emotions fade faster than positive ones.
Believing abilities can be developed.
Bureaucracies tend to expand and protect themselves, regardless of their original purpose.
Insulation from risk changes the risks people take.
Legislators rewarded for delivering local benefits financed by national costs.
Reinforcement learning from human feedback.
Reverse-engineering the internal sequence — visual, auditory, kinesthetic — an expert uses to produce a result.
Where, how, what — in that order.
Treating AI as more humanlike than it is.
A system's throughput is constrained by its single slowest step.