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Holders Rarity and Distribution

Holders, rarity and distribution is the part of tokenomics that supply figures hide. A million coins is a million coins — but a million coins split twenty ways and a million coins split ten thousand ways are not the same asset, and they will not behave the same in any market. This page is part of the series under How Cryptocurrencies Gain Value.

1. The same supply, four different assets

Take exactly 1,000,000 coins and change nothing except how many people hold them.

The supply number is identical in all four. What changed is how rare a coin is from any one person's point of view, and that is the thing that actually sets behaviour. At twenty holders a coin is common — the person next to you has fifty thousand. At ten thousand holders the same coin is rare: getting a hundred means finding someone willing to give up a hundred, and most of them are not.

This is the sense in which wide distribution manufactures scarcity without changing supply. You have not burned anything. You have made each unit harder to get hold of.

2. Why concentration is a price problem, not just a fairness problem

A concentrated holder base creates overhang: a known quantity of coins that could hit the market, which every informed buyer prices in before bidding. The thinner the book (see Volume, Liquidity, and Depth), the worse this gets, because the overhang is enormous relative to the depth.

Research bears out that this is the normal state rather than the exception. One 2026 study found that ERC-20 Gini coefficients remain uniformly close to 1 throughout the observation period — near-total inequality.[1] Governance tokens can be worse: in one analysis of Compound, 8 delegates could carry any governance action between them.[2]

Two metrics are worth knowing:

They can disagree, and that is informative: a high Gini with a high Nakamoto coefficient means wealth is uneven overall but the top is itself broad. Both need care — a liquidity pool, a burn address or a staking contract will show up as a giant "holder" and must be excluded before the numbers mean anything.[3]

3. The arithmetic that actually funds a chain

Here is the part that changes what you build. Suppose each participant brings in $10 of outside money — a genuinely small amount, the price of lunch.

Twenty people cannot fund a market by being generous. They can only fund it by being rich, and money from twenty rich people is a different instrument: it arrives with expectations, it leaves in one decision, and while it is there it owns you.

Ten thousand people at ten dollars is the same hundred thousand dollars with none of those properties. No single exit matters. The bid is broad. And critically, those ten thousand people are not only capital — they are the holders in §1, the depth in Volume, Liquidity, and Depth, and the users who create demand for whatever the coin is actually for (Utilities and Sinks).

This is why the growth strategy and the tokenomics are the same strategy. More holders is not a vanity metric; it is simultaneously more scarcity per person, more incoming value, more book depth and more utility demand.

Does the research support it? Metcalfe's law, and its honest exponent

The claim that more holders is worth more money is not just our argument — it is the most-tested quantitative claim in the field, and it comes out partly confirmed and partly cut down.

Metcalfe's law says a network's value grows with the square of its users, because value lives in the connections between them and n users have n(n-1)/2 possible pairs. Applied to crypto: Alabi found Bitcoin and Ethereum value moved in proportion to the square of unique daily users,[4] and Peterson reported that over 70% of the variance in Bitcoin's value was explained by a Metcalfe-style model of network size.[5]

Then the cuts, which matter more than the confirmation:

So the arithmetic in §3 stands — but it stands as super-linear growth with a contested exponent and a causation problem, not as a formula that converts a holder count into a price. Combined with §4 below, the defensible version is narrow and still useful: participants who can be reached and activated raise the value of a network faster than their number suggests — and on a thin, responsive market, a small balance is no bar to being reached.

4. On a thin market, a small holder is not dust

An earlier revision of this page called holders of less than one token "dust" and said they "never return" and do not count. That was wrong, and the reason it was wrong is the most useful thing on this page — because it is the same mechanism as Volume, Liquidity, and Depth, read in the other direction.

Start with the raw numbers, which are real: of 25,096 VKBT holders, 19,694 hold under one whole token; of 15,039 CURE holders, 13,683 do. Full detail in the Matrix.

Now the four reasons the dismissive reading of those numbers does not hold:

  1. A thin market is a responsive market. It takes very little capital to move the price of a token this size — that is precisely what the depth figures say, including the CURE bid and ask that have stood 2,700× apart. Thinness is usually discussed as a weakness, and on the exit side it is. On the entry side the same property means a modest bid produces a large percentage move.
  2. Every holder sees it. An engine wallet shows a balance and what that balance is worth. A large percentage move is therefore visible in all 25,096 wallets at once, at no cost to anybody. The holder base is not an inert ledger entry — it is a distribution list for a price signal, and the signal reaches everyone on it simultaneously.
  3. A visible move produces the one thing a thin token lacks. A holder who sees their balance move does one of two things: buys more, or sells some. Both are volume. Both are the second trade that §4 of Volume, Liquidity, and Depth identifies as the thing a shallow book needs in order to deepen. Somebody who can be activated by a price move is an economically live participant, whatever their balance is today.
  4. Cheapness multiplies reach. The lower the price and the thinner the book, the more holders a given amount of buying can reach and activate. A large holder count and a small average balance is not a contradiction of §3's argument — it is §3's argument with the unit price moved.

So the correct reading is the opposite of the old one: a large holder base on a highly responsive market is an asset, and the smallness of the individual balances does not cancel it. Nothing about holding 0.4 of a token prevents someone from noticing a 10× and acting on it.

What the numbers do and do not tell you

Keeping the part of the old paragraph that was actually defensible, and dropping the part that was not:

4a. Where the demand for these tokens comes from

The demand for VKBT and CURE does not have to originate with VKBT and CURE. It runs backwards through the bridge.

Someone who wants MELEK and does not have it has a route: buy VKBT or CURE on Hive-Engine with HIVE, bridge to `wVKBT`/`wCURE`, swap through KulaSwap into KULA and then `wMELEK`, and unwrap. The engine tokens are an on-ramp to MELEK, which means demand for MELEK becomes bid for VKBT and CURE. That is the same path priced in §6 of How Cryptocurrencies Gain Value, run in the other direction — and it is why the two engine tokens are the assets that give the whole set a USD figure at all.

On top of that, VKBT has a use of its own. Its registered on-chain description is "A Token for Rewarding Beauty, and Providing Liquid to the Beauty Economy" — it is intended to buy beauty supplies. A token that purchases a physical good has a demand source that does not depend on anybody's opinion about crypto, which is the first and strongest of the four sources in §2 of How Cryptocurrencies Gain Value.

So there are three distinct bids on these tokens, and only one of them is speculative:

  1. People who want MELEK and are buying the on-ramp.
  2. People who want what VKBT buys — the beauty economy it was issued for.
  3. People who expect the price to rise — the speculative bid, which is real and is the least durable of the three.

5. Float: the supply that is actually for sale

Supply is not the same as the amount that can be bought. The float is what is liquid and unlocked right now, and it is usually far smaller.

On CURE, 71.2% of supply is staked — 51,594 of 72,440, summed from the `stake` field across all 15,776 balance rows — leaving a liquid float of roughly 20,800 units. VKBT is 41.9% staked (985,238 of 2,352,205). Re-derived 30 October 2026; note that `supply` minus `circulatingSupply` is not stake on Hive-Engine and gives an answer wrong by orders of magnitude. Staked coins are not on the market, so the float — not the supply — is what a buyer is competing for, and it is what a seller can actually dump.

A small float cuts both ways with total honesty: it means less overhang, and it means more violent price moves in both directions, because any order is large relative to what is available. Anyone reading a small-float chart should know that the volatility is structural, not a signal.

6. Read next

Not investment advice

This page explains distribution mechanics. It is not a claim that any token is undervalued, not a prediction, and not a suggestion to buy or sell. Small-float assets are structurally volatile; that is a description, not a recommendation.

Sources

[4]

[5]

[6]

[1]

[2]

[3]

[7]

The STEEM HIVE BLURT MELEK VKBT and CURE Matrix">[8]

The Matrix: Supply, Holders, and Market Cap">[9]

Coverage

Covers how identical supply behaves differently across holder counts, concentration as an overhang and price problem, the Gini and Nakamoto metrics with their caveats, the arithmetic of many small contributions versus few large ones, the correction of an earlier revision that dismissed sub-one-token holders as "dust" (a thin market is a responsive market, a move is visible in every wallet, and an activated holder supplies the volume the book needs), the distinction between breadth and size as separate information, and float versus supply. Holder and stake figures are carried from the Matrix pages; treat them as of their capture dates. Gives no valuation verdicts.

The Metcalfe's-law subsection reviews the quantitative research on network value (Alabi 2017, Peterson 2018, Wheatley et al. 2018) and states its limits: a fitted exponent near 1.69 rather than 2, unresolved causation, the full-connectivity assumption, and active addresses as a poor proxy for people.

Videos

Watch videos about Holders Rarity and Distribution on YouTube ↗

Videos are found by the article's title on YouTube and are not reviewed or endorsed by the Library.

References

  1. https://arxiv.org/pdf/2609.24176
  2. https://arxiv.org/pdf/2204.01176
  3. https://bitquery.io/blog/wealth-distribution-in-token-economy
  4. https://www.sciencedirect.com/science/article/abs/pii/S0191886917301344
  5. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3078248
  6. https://arxiv.org/abs/1803.05663
  7. https://www.sciencedirect.com/science/article/pii/S2405959524000079
  8. [[The STEEM HIVE BLURT MELEK VKBT and CURE Matrix]]
  9. [[The Matrix: Supply, Holders, and Market Cap]]

Filed under  Chains and how they workTools