Chapter 22 · Why Memes Can Have Value
Why pay for something with no cash flow?
- Capabilities practiced
- System ThinkingResearch
- Hands on
- Pick a meme token, calculate its holder distribution and top-ten concentration, and judge how many people set its price.
- AI Lab
- Have AI analyze how a meme spreads, then use on-chain data to test whether the claim of a large community holds up.
A Real-World Problem
You explain crypto to a traditional asset-management friend.
One token has no product, income, roadmap, or identified team, just an image on a website. Yet its capitalization exceeds revenue-generating protocols.
Your friend calls it gambling, not worth analyzing.
But the same standard struggles with:
- A painting made from inexpensive materials selling for millions.
- A team jersey no warmer than an ordinary shirt.
- Similar bags differing twentyfold in price because of a logo.
- A domain name, merely a database record.
These trade daily without being dismissed as incomprehensible.
Ask the more useful question:
What supports prices when an asset produces no cash flow?
Answering seriously matters because cash-flow analysis alone cannot explain a large part of this market.
Also, cash-flow projects depend on attention too. Understanding its conversion into price is essential.
Thought Experiment
An online forum has 100,000 active users.
Someone creates 10,000 tradable badges displayed beside avatars. They unlock no features, discounts, or distributions.
Follow six weeks.
Week 1: little interest.
People dismiss the badge; a few buy cheaply for fun.
Price is near zero, matching its lack of significance.
Week 2: respected members wear it.
Recognizable contributors display badges.
The image now signals membership in an early group. Prices rise.
The first support appears: identity.
Week 3: badge holders attract more views.
Curious readers open their profiles and posts.
The badge becomes an entry point for attention, offering a concrete reason to buy.
The second support appears: attention.
Week 4: outsiders arrive.
An article describes a 10,000-person club and attracts buyers.
Many never post; they want participation in an emerging event rather than forum functionality.
The third support appears: narrative, bringing external people and money.
Week 5: a trading market opens.
A pool replaces private, small-scale transactions with easy large trades and narrow spreads.
Prices step upward without new meaning: trading simply became easier.
The fourth support appears: liquidity, determining realizable prices and exit capacity rather than creating meaning.
Week 6: the forum redesigns.
Badges no longer appear beside avatars.
Check what remains:
- Identity loses its display.
- Attention no longer favors holders.
- Narrative loses its visible club symbol.
- Liquidity still exists, but providers start leaving after the other supports collapse.
No fraud or default occurred. Contracts, supply, and ownership remain intact.
The support existed off-chain, controlled by someone else's product decision.
Your Decision
The redesign is announced. What do you investigate first?
What Happens
Together the experiment and choices reveal a framework.
Five pillars support prices without cash flow:
| Pillar | Contribution | Observation | Disappearance speed |
|---|---|---|---|
| Identity | Membership signal | Community and display practices | Slow, hard to rebuild |
| Attention | Visibility | Discussion, search, new holders | Days |
| Narrative | Entry reason for outsiders | Media and influential conversations | Fast; replaced by new stories |
| Status | Visible ranking | Scarcity, acquisition difficulty, display | Depends on display context |
| Liquidity | Realizable prices | Depth and provider concentration | Hours |
Paintings rely on narrative and status; jerseys on identity and community.
Crypto did not invent these supports; it made them publicly observable and measurable.
Compare with cash flow:
| Cash-flow support | Attention support | |
|---|---|---|
| Source | Paying customers | Attention, identification, display |
| Verification | Accounting and reconciliation | Indirect, manipulable proxies |
| Decay | Often gradual | Can disappear within days |
| Maintenance | Continued product operation | New content and events |
| Competition | Competitors and regulation | Anything more interesting |
| Decline | Revenue falls but generally persists | Pillars often collapse together |
Attention competes with everything, not only similar products.
The pillars are highly correlated: fading attention weakens narratives and identity, prompting providers to withdraw.
They resemble tied ropes rather than independent legs, another Chapter 21 feedback structure.
Build a Model
Two parts.
Part 1: price support.
Assets usually occupy several layers:
- Cash flow
- Usage demand
- Collateral and security
- Identity and status
- Attention and narrative
- Liquidity
Ask which layers support price and how long each lasts.
Revenue-generating projects belong here too. Valuation beyond cash-flow support rests on the same attention layers as memes.
Part 2: decision concentration.
A practical measure:
Effective price control = number of addresses capable of materially moving priceEstimate it:
- Calculate top-ten concentration, excluding custodians, pools, burns, and public team multisigs.
- Measure depth: sales needed for a 20% decline.
- Compare holdings with that sale size. An address above it can move price alone.
Tens of thousands of holder addresses can coexist with single-digit effective controllers.
Remember both statements:
Attention is a real source of value: measurable, tradable, created, and consumed. Dismissing it obscures much of the market.
It is far more fragile than cash flow, capable of cliff-like disappearance across correlated pillars.
One statement alone invites either promotion or dismissal. Both are needed.
What It Is Called
Finite human focus, scarce and competitive, directed or purchased.
It steers outside capital, underlying Chapter 21's narrative layer.
Discussion, holders, and searches proxy it, but each can be manufactured and needs cross-checks.
Ownership expressing who you are and where you belong.
Brands, clubs, and team merchandise share this basis; crypto tokenizes it.
Slow to build and collapse, difficult to rebuild, it is a strong pillar often mistaken for conventional fundamentals.
People interacting repeatedly around a shared subject.
Sustained interaction, not headcount, is crucial. Silent addresses do not form a community.
Inspect overlapping holdings, unique participants, and interaction remaining after price declines.
A story explaining why something deserves attention.
It opens the door to outside capital rather than limiting circulation to existing members.
Narratives often die through replacement and forgetting, rather than falsification.
Visible position in a ranking.
High price can itself be part of the function. Falling prices can undermine status and reinforce declines.
Status requires a display context, removed in week six.
Hands-on
Choose an interesting token without cash flow. Ask how many addresses can materially determine its price.
Find holder rankings, recording total addresses and observation time.
Classify the top 20, the essential step.
Identify custodians, pools, burns, team or foundation multisigs, and ordinary addresses.
Use labels, transfer patterns, and contract interactions as evidence.
Mark unresolved addresses unknown. Honest classification determines later reliability.
Calculate raw and adjusted top-ten shares, removing exchanges, pools, and burns for the latter.
They often differ markedly, while public discussion cites the raw number.
Measure depth and calculate the sale needed for a 20% decline using Chapter 15.
Compare.
| Value | |
|---|---|
| Total holder addresses | |
| Raw top-ten share | |
| Adjusted top-ten share | |
| Sale required for 20% decline | |
| Addresses holding more than that |
The last row estimates effective price control.
Add time: how many top-20 addresses appeared within 30 days versus holding since the start?
This distinguishes current holders from early participants.
No trading conclusion follows. High concentration does not predict declines; low concentration does not prevent collapse.
The result is structural: how many decisions can push this price.
AI Lab
Choose an object and request:
Analyze this token's propagation:
1. Timeline of attention jumps, with specific posts, videos, events, and links.
2. Amplifying accounts and communities, size, and organic versus paid activity.
3. Narrative versions and their intended audiences.
4. Identity, attention, narrative, status, and liquidity: strongest and weakest.
5. On-chain checks for each claim.
Give sources and timestamps for numbers.
Do not make price judgments. Mark missing information unavailable.Then perform its proposed on-chain checks, especially for:
"This project has a large community."
Define the claim through:
- Holder addresses and one-time recipients
- Addresses interacting within 30 days
- Overlap with similar holdings
- Creation-time clusters suggesting coordinated accounts
Models commonly confuse message volume with participants. Twenty prolific people or thousands of bots can create impressive counts.
Learn to ask which metric supports large-community claims. Chapter 28 uses the same habit.
Verify these points yourself after using AI
- Can original posts or videos verify each propagation node?
- Which platform and date supply audience and discussion figures?
- Does it confuse one account posting 100 times with 100 participants?
- Does active-community language match actual interacting addresses?
- Does it distinguish new addresses from new independent people?
- Does it identify paid promotion?
- Does it make unsupported price predictions?
Real-World Case
Some digital collectibles derive value from identifiable profile display on platforms.
Changed display rules reprice them despite unchanged ownership, supply, and contracts.
This is week six in reality: on-chain value can depend on off-chain product decisions outside holders' control.
A token advertises an impressive address count.
Inspection reveals one-time recipients and groups sharing creation times or funding sources.
Airdrops can explain this without fraud, but address count and community size remain several verification steps apart.
Themes often cool because fresher ones appear, rather than because something breaks.
Projects and contracts still operate; discussion disappears.
Attention can vanish when something else is more interesting, without the business deterioration usually behind lost cash flow.
Some joke-based projects turn attention into organizations, offline events, products, and revenue.
Attention is convertible raw material, whose outcome depends on what recipients do next.
Ask whether attention is being transformed while available. Few do so, and complete proof arrives only later.
Retail-forum narratives multiplied some heavily shorted stock prices within weeks. Genuine businesses existed, but prices temporarily followed attention and coordination.
Crypto did not invent attention pricing; it lowered issuance barriers. See Hot Topic: Robinhood.
Launchpads enable issuance within seconds and bonding-curve quotes. Platforms collect trading fees regardless of token outcomes; most never complete the curve.
This joins Chapter 10's cheap issuance with attention pricing. See Hot Topic: Memecoin Launchpads.
Change One Variable
Week six cannot remove it in that way. Identity and status no longer depend on a team's redesign.
But attention and narrative remain off-chain, impossible to guarantee through contracts.
Chains secure ownership and rules, not meaning. Loss of interest remains a real risk beyond conventional categories.
Headcount improves while effective control remains unchanged.
Dispersion and concentration can rise together: many small holders coexist with dominant large ones.
A growing community may leave power unchanged.
The quote remains but meaningful execution disappears.
Pool balances and ownership are public. Observe this directly rather than guessing.
Locked or burned liquidity positions create verifiable commitments; their presence or absence is visible on-chain.
It gains a steadier left-side pillar.
Existing attention risks remain. Also calculable cash-flow valuation may sit far below current price, potentially exposing rather than supporting its premium.
Conversely, cash-flow projects' unexplained valuation premiums follow this chapter's rules.
Takeaway Questions
Memes address coordination: strangers focusing on one thing and expressing shared identity.
Flags, uniforms, badges, and brands show this is a genuine human problem. Recognize it to analyze it.
Define users as real people, one-time addresses, and automated accounts.
Break community figures into interaction, address histories, and creation patterns instead of accepting undifferentiated totals.
Liquidity can be removed unilaterally within hours.
Check its owners, locks or burns, and the sale size producing a 20% decline. All are observable on-chain.
Early holders may have near-zero cost while later buyers bear full market prices.
This structure needs no wrongdoing. Identify your place in the sequence, rather than turn it into an accusation.
Chapter Check
It fails to explain functioning markets in art, collectibles, brands, domains, and merchandise.
Other pillars support price: identity, attention, narratives, status, and liquidity. They are real and measurable.
Assess their faster decay and correlated collapse rather than dismissing their existence.
Liquidity can disappear unilaterally in hours.
Identity and status take longer; attention shifts often take days; a liquidity withdrawal takes one transaction.
Withdrawal is self-reinforcing through thinner depth and greater volatility.
It is also readily observable through balances and provider addresses.
At least four layers:
- One person can own many addresses, especially through airdrops.
- Custodial addresses can represent many people.
- Ownership is not participation.
- Message volume is not headcount.
Use interacting addresses, creation distributions, funding links, and post-decline activity instead.
Valuation beyond cash-flow support rests on the same pillars as memes.
Separate the Chapter 20 revenue-supported component from attention, narrative, and liquidity premiums, then evaluate their stability independently.
A 20% revenue decline with a 70% price fall can reflect weakened non-cash-flow pillars rather than mere irrationality.
Check:
- Identify supporting pillars rather than merely label hype.
- Provide observable indicators for each.
- Estimate effective controlling addresses.
- Distinguish on-chain verification from external judgments.
- Remove trading recommendations; deliver structural description.
Dismissal and promotion both substitute emotion for structural analysis.
Key idea
Attention, identity, and liquidity can support a price too, but they can vanish overnight more easily than cash flow.