When you watch enough content about faces, you start noticing a pattern in why it works. Someone points at a face, breaks it down into specific features, bone structure, soft tissue, skin quality, hair density, proportions, grooming signals, and shows you how each of those features sits on a gradient that your brain is already using. Whether something reads as masculine or feminine, young or old, dense or sparse, familiar or unfamiliar, healthy or unhealthy, threatening or non-threatening. All of those gradient readings pile up into a reaction, and that reaction produces a response, whether you feel attracted to someone, whether you trust them, whether you want to hire them or avoid them or protect them. And if you zoom out far enough, those repeated responses become behavior. Dating outcomes, job offers, how strangers treat you on the street, who gets authority and who does not.
The chain looks like this:
- Subject and its specific, observable features
- Gradient pairs those features sit on
- Reaction those gradients produce together
- Response that reaction leads to
- Long-term behavior that builds from repeated responses
And you can enter from any point. Start with the subject and walk forward. Start with a long-term behavior people already recognize and trace it back. Start with a reaction people already feel but cannot name and investigate both directions from there.
Now here is the thing. When you look at this chain carefully, you realize that gradients exist in every domain, responses happen in every domain, and long-term behavior accumulates in every domain. That is not specific to faces. That is just what happens whenever a person encounters any subject at all. The contents of each column change completely depending on what you are talking about, but the fact that those columns exist does not change.
So when you move this to a different domain, nothing carries over directly. You are not borrowing the face gradients or the face responses. What you are doing is building the chain fresh for the new subject, finding what the relevant gradients actually are in that domain, what the reactions actually look like, what the responses and long-term behaviors actually are for the people involved. The structure is the prompt, not the answer.
But there is something else worth adding here. Not every subject has enough readable features on the surface to run through gradients cleanly. Some subjects are harder to point at. The reaction is still happening but it is not coming from something observable, it is coming from what the subject carries with it. Its history. Where it came from, who made it, what it was associated with, what moment or movement it belonged to, and what it meant to people before you ever encountered it. That history feeds into the subject before any features even register, and it does a lot of the work that features alone cannot do. It also makes the reaction less predictable, because different people have different relationships to the same history, so the same subject can produce completely opposite reactions depending on who is in the room.
So the fuller chain, especially for subjects that carry a lot of context, looks like this:
- History
- Subject and its specific, observable features
- Gradient pairs those features sit on
- Reaction those gradients produce together
- Response that reaction leads to
- Long-term behavior that builds from repeated responses
Take music as an example and you can see both sides of this working at once. On the features side, you have tempo, pitch, timbre, vocal texture, dynamic range, density of instrumentation, how much silence or space there is, whether the melody is predictable or surprising, how the song is mixed, how much low end there is versus high end. Those features sit on gradients like fast versus slow, dense versus sparse, bright versus dark, smooth versus rough, familiar versus jarring, controlled versus chaotic, intimate versus distant, tense versus resolved, energetic versus still. Those gradient readings produce reactions that are quite physical, your heart rate changes, your body wants to move or it does not, you feel alert or drowsy, safe or unsettled, like you are in a crowd or completely alone. Those reactions lead to responses, you skip the song or you replay it, you send it to someone, you associate it with a memory, you feel understood or alienated, you want more from that artist or you never go back. And long term, the music starts shaping your identity, you go to shows, you follow the artist, certain songs become markers of who you were at a certain point in your life, and all of it shapes your taste going forward.
But then there is the history side. Take punk. If you strip it down to just its features, fast tempo, rough vocals, sparse instrumentation, those gradients alone do not explain the reaction it produces in people. A big part of what you are reacting to is what punk represented, who it came from, what it was pushing against, what it cost the people who made it. Someone who grew up with that history in their bones hears punk completely differently from someone encountering it fresh, even if the sound is identical. The features are the same, the gradients are the same, but the history is doing its own work underneath all of it, and that work lands differently depending on the person.
For example finance:
History
- How money has worked across different eras
- Who controlled it and who was excluded
- Major crashes, bubbles, scandals
- How financial systems were built and who they were built for
- What certain assets, institutions, or behaviors have meant across time
- How attitudes toward debt, saving, risk have shifted culturally
Subject and features
- An asset, a market, a financial product, a person, a company, a decision, a system
- Price history and volatility
- Who owns it and in what proportion
- How liquid it is
- What backs it or gives it value
- How accessible it is to ordinary people
- How it is regulated
- Who is selling it and how hard they are selling it
- What the incentive structures around it look like
Gradients
- Safe versus risky
- Accessible versus gatekept
- Transparent versus opaque
- Stable versus volatile
- Short term versus long term
- Understood versus misunderstood
- Legitimate versus suspicious
- Simple versus complex
- Old versus new
Reactions
- Fear or excitement
- Feeling informed or overwhelmed
- Feeling included or shut out
- Trust or suspicion
- Urgency or patience
- Shame around past decisions
- Hope about future ones
Responses
- Buy, sell, hold, or avoid
- Research further or disengage
- Tell someone else about it
- Change your relationship with spending or saving
- Feel motivated or paralyzed
Long-term behavior
- Build wealth or lose it
- Develop financial literacy or stay dependent on others
- Change your class position over time
- Pass habits and attitudes down to people around you
- Shape how the next generation thinks about money
For example of a channel talking about startups:
History
- How entrepreneurship has been romanticized over time
- The garage myth, Silicon Valley, the dot com boom and bust
- Who got funded and who did not and why
- How the venture capital system was built and who it was built for
- Famous failures that became case studies
- How attitudes toward risk, failure, and ambition have shifted culturally
- What certain companies meant when they launched versus what they mean now
Subject and features
- A startup, a founder, a product, a market, a funding round, a pitch, a business model
- What problem it is solving and for whom
- How big the market actually is
- Who the team is and what their background looks like
- What the unit economics look like
- How it makes money or plans to
- Who is backing it and why
- How much competition exists and from whom
- What the moat is or whether one exists at all
Gradients
- Real problem versus manufactured problem
- Large market versus niche market
- Strong team versus weak team
- Defensible versus easily copied
- Early versus late to the market
- Capital efficient versus cash hungry
- Honest versus overhyped
- Scalable versus stuck at a ceiling
- Mission driven versus purely extractive
- Underdog versus already privileged
Reactions
- Excitement or skepticism
- Feeling inspired or feeling sold to
- Believing in the founder or not
- Seeing the vision or not seeing it
- Feeling like this could change something or feeling like it is noise
Responses
- Invest or pass
- Join the company or avoid it
- Buy the product or ignore it
- Share it with someone or dismiss it
- Root for it or wait for it to fail
Long-term behavior
- The startup scales or dies
- The founder builds a reputation or loses one
- Investors make returns or write it off
- The product becomes infrastructure or disappears
- The story gets told as a success or a cautionary tale
- It shapes what the next generation of founders thinks is possible