Core Theory

Split Ponzi Explained

From FriendTech to Ethereum - Infinity Stones and the Steam Engine Moment

+-----------------------------------------------------------+
|                      SPLIT PONZI                          |
+-----------------------------------------------------------+
|                                                           |
|   Leverage --> Bubble --> Collapse                        |
|                                                           |
|   Best way to reduce bubble: real output                  |
|   Fastest way: open another ponzi                         |
|                                                           |
|   Pool: YES | Free Exit: YES | Fixed Return: NO           |
|   Risk: HIGH | Analogy: Equity Investor                   |
+-----------------------------------------------------------+

1/ Split Ponzi Definition

Under the condition of unchanged total system capital, multiplying the asset quantity corresponding to unit capital to attract subsequent capital entry.

"Multiplying" is where the term "split" comes from. The multiplied assets can refer to the same asset type or different asset types.


2/ The Demolished House Story

Using a worn-out pitch from ancient split schemes to explain:

StagePropertyTotal Value
Initial1 unit at 500K1M (after appreciation)
Split 12 units at 500K each2M (after appreciation)
Split 24 units at 500K each4M (after appreciation)

Asset quantity multiplies, total value keeps doubling

Ancient wisdom, do you see it clearly now?


3/ Liquidity Pool Perspective

Two hidden assumptions in this story:

AssumptionMeaning
Need continuous new buyers for housesContinuous new liquidity entering the pool
Your houses were never sold for cashContinuously receive new airdrops without dumping on the pool

Ancient split schemes (like MBI) would promise electronic shares only go up, because they centrally closed the channel for discounted cash-out.


4/ Implied Beta

In fact, cashing out requires liquidity. AMM curves tell us every price has corresponding liquidity, but when prices are inaccurate, liquidity can be terrifyingly low - your chips simply can't be sold.

Regardless of promises, the market will psychologically price your current situation. This pricing is often derived by comparing with other projects, called Implied Beta


5/ Collapse Models

Assumptions:
- Government splits 1 unit into 2 units each time
- Prices double every N splits
- Pre-split total property value X
- New immigrant buying pressure K

Formula: New purchases = Post-split total price - Post-split unsold total value

Four Collapse Points:

#ConditionPlain Language
1Existing owners don't sell, but K still less than formula right sideNew buying can't come in
2K unchanged, existing owners mass sell making right side exceed leftExisting mass selling
3K unchanged, split count N too largeSplitting too fast, bleeding out
4Constant 2 decreases, price can't double before next splitPrice can't rise after split

6/ Case Study: North India Property Crisis

Let's apply this to the property crisis in the Asian country of North India:

FactorPhenomenon
New buying can't come inBirth rate plummeting, severe aging, urbanization over 60%
Splitting too fastMassive new housing from infrastructure and monetized shantytown renovation
Existing mass sellingTrust crisis in major city governance due to pandemic policies
Price can't riseMarket confidence shattered by economic policies

Therefore North India property prices broadly decline, even death spiral


7/ North India Authority Policy Options

Since property as collateral comprises too high a proportion of the financial system, price decline would trigger LUNA-style cascading liquidation:

PolicyEffect
Increase urbanization rateIncrease rigid demand buying
Stop new construction approvalsSlow down splitting
Administrative measures to reduce secondary circulationPrevent existing mass selling
Public opinion guidanceChange price expectations

8/ Crypto Split Scheme: FriendTech

FriendTech rules:

  • Users connect Twitter accounts to mint keys and own their room
  • Keys priced via AMM curve
  • No lockup period
  • Holding earns points

Applying the model:

FactorFT Situation
Split speed= Speed of influential new KOLs joining
Matthew effectVery obvious, only crypto KOLs across languages have asset properties
Split ceiling= Total count of these KOLs, higher saturation means geometrically declining split speed

9/ FriendTech Collapse Analysis

New buying/Price expectations:

  • Theoretical ceiling = Total Twitter users in crypto
  • But KOL onboarding speed is fast, price discovery is fast
  • Declining split speed reduces new user entry enthusiasm (top too expensive, no more unboarded big influencers)

Existing selling:

  • Small scheme, high tax → Users have strong low-buy-high-sell tendency
  • Only deterrent: Points airdrop weekly based on holdings, Paradigm backing
  • But with Post changing policies, this insurance is nearly void

Final blow:

Inscriptions rise, crypto pumps, Beta surges. FT unable to split further and create profit effect completely dies out


10/ Case Study: BNB and Binance

$BNB was initially just a fundraising tool. So-called fee burning before '19 was just burning future unlocked shares, no real meaning.

Rights Evolution:

  • '19: Launchpad/Launchpool began showing holding benefits
  • '20: After BSC, became gas and base trading pair

11/ BNB Split Scheme Analysis

FactorAnalysis
Split speedBNB is special, splitting isn't uniform. Pancakeswap etc. DEX mint countless coins daily, but daily volume less than 5% of Binance core. CEX splitting mainly from Launchpad/pool frequency
New buying/Price expectationsMainly from BNB rigid demand, i.e., relationship between BSC and Launchpad/pool return expectations and Beta
Existing sellingFrom split scheme perspective, main deterrent is Launchpad/pool comprehensive returns (average ROI × launch frequency) and BSC launch return rate

A split scheme's greatest enemy is another higher-return, more explosive split scheme


12/ Ethereum: Split Scheme's Steam Engine Moment

Smart contracts + gas opened unlimited splitting industry imagination

Ethereum's base: Mining rig dividend scheme (still is after POS)

Inflationary output before ICO could only become sell pressure. ICO's emergence opened Ethereum's split scheme era.


13/ Ethereum vs Binance Split Logic

Binance splitting:
└── Concentrate entire platform attention/liquidity on new scheme = System-level bleeding

Ethereum splitting:
└── Project teams invest operations to buy attention (like airdrops) = Acquire system liquidity
└── Split speed = Annual new high TVL/liquidity project count

14/ Ethereum Era Analysis

EraNew Buying/Price ExpectationsExisting Selling Problem
ICOMainly from explosive pumps on listingVery severe, ICO project teams dump after fundraising, '18 dropped below $100
DeFiAfter Uniswap, ICO threshold even lower, pre-liquidity cost also lower, easy moon shots in low liquiditySolved with '20 on-chain app development (involves three-scheme combination)

15/ Vitalik's Legitimacy Narrative

From split scheme perspective, ICO era's chaotic splitting gave Vitalik huge trauma. So he established splitting rules through narrative and Ethereum inner circle white gloves:

DeFi narrative ──► NFT/SBT non-financial apps ──► LSD ──► Layer2 ──► Restaking

Each narrative's core positions are very limited = Control split rate

Reflexivity Problem:

  • to-V entrepreneurship becomes mainstream
  • Project philosophy increasingly homogeneous
  • Legitimacy = High valuation
  • Wild approaches/low liquidity no more
  • Falls into insufficient split rate
  • Beta crushed by BTC, Solana

16/ Split Scheme: Infinity Stones

Split schemes are Ponzi's infinity stones, crown jewels, because split schemes are cross-disciplinary engineering, the scheme type with fewest closed-system assumptions

You need to ensure three equilibria:

Split Scheme Three Equilibria:

#Left SideRelationRight Side
1Entry capital⟷ Dynamic equilibriumSplit rate
2Split return rate→ MustSuppress Beta
3Existing sell pressure⟷ EquilibriumEntry capital

Core Formulas

Operator profit = Project team's total selling profits

Collapse conditions:
├── New buying < Split demand
├── Existing mass selling
├── Splitting too fast, bleeding out
└── Price can't rise after split

Split scheme three equilibria:
├── Entry capital ⟷ Split rate
├── Split return rate > Beta
└── Existing sell pressure ⟷ Entry capital

Everything is a scheme. A good project in Crypto must first be a good scheme.

Next: Composability Explained