The Georgist Engine

1. The destination of a payment

A token stops on somebody else’s property, and money crosses the table. That small movement is the part of a property game I want to inspect first. Who receives the payment? Can that recipient use it to collect more payments? Does it remain among the players, enter a bank, or return through a common fund? A board can look almost unchanged while the answers produce a different system.

This is a useful way to approach Elizabeth Magie’s Landlord’s Game. It keeps the rules available for inspection before the familiar origin story supplies a moral. A political purpose, a rule mechanism and a player’s experience are related, but they need different evidence. A patent can describe an intended lesson. A specified ledger can show a transfer. Neither alone establishes what every player learns or how a complete game usually ends.

My argument is that rule design becomes clearer when we follow one consequential payment all the way through its destination and possible return. This is a smaller claim than saying a board game proves an economic theory. It gives us something we can actually check.

2. Two patents, two kinds of evidence

The 1904 patent, issued to Lizzie J. Magie, describes lots, payments, a public treasury and a winner determined by accumulated wealth after an agreed number of circuits. That is a particular rule document. Its terminology and stopping condition should not be silently replaced by those of a later commercial game (Magie, 1904, opening specification and play instructions).

The 1924 patent, issued to Elizabeth Magie Phillips, makes an educational purpose explicit. It describes showing the landlord’s advantage under prevailing land tenure and how a single tax would discourage speculation. It also describes a cash goal of $3,000 that players may raise. This is primary evidence for her stated purpose in that edition, rather than a political intention inferred from dice or reconstructed from the later Monopoly board (Phillips, 1924, opening specification).

A purpose is not an outcome measure. Players might recognise the intended criticism, admire a successful landlord or concentrate on winning. The patent does not settle those possibilities. I would keep the author’s stated aim beside the mechanism, then ask what observation or research would be needed to establish a learning effect. That preserves the political argument without turning intention into a claim about behaviour.

Edition identity also prevents an easy historical shortcut. These two patents are not a licence to attribute every later cooperative variant, house rule or commercial choice to the earliest document. A comparison needs to name the version it actually reads.

3. A transfer small enough to inspect

Here is a constructed teaching model. There are two players, A and B, with $100 each. A single event requires B to pay $10. There are no dice, property purchases, debts, wages or later turns. We compare only the destination of this payment and one explicitly defined redistribution. The amounts are selected for arithmetic clarity; they are not historical rent values.

In the private-transfer case, B pays A. A ends with $110 and B with $90. The combined balance remains $200, but the gap is $20: one balance rose by $10 while the other fell by $10. Looking only at the payer’s loss would miss half the change in the gap.

In the fund case, B pays a common fund instead. Before redistribution, A has $100, B has $90 and the fund has $10. We then return half of the fund to each player. A ends with $105, B with $95 and the fund with $0. The total remains $200 and the gap is $10. These outputs follow from the declared transfers; they do not require a simulation.

The comparison isolates one mechanism: the recipient and redistribution rule affect the resulting balances. It does not show that a common-fund game is always fair, that every player benefits, or that real land taxation produces these amounts. A still ends ahead, because only B paid this fee. Change who pays, how the fund is divided or what the next turn permits, and you change the question. A model becomes more useful when its smallness is explicit.

4. Movement is only one part of the game

A dice model answers a different question. With two independent fair six-sided dice, a total of seven occurs in six of the 36 equally likely ordered outcomes; twelve occurs in one. The formula below records that triangular sum distribution. It describes a throw, not the eventual distribution of property or wealth.

A position-only transition matrix can describe a stripped-down token moving around a loop. A Monopoly model needs more: the chosen edition’s cards, doubles and jail rules, ownership, cash, auctions, construction, debt, and policies for decisions. A token’s square does not contain enough information to tell us whether its owner can pay the next rent. Adding the missing states is part of specifying the model, not an optional detail after the result.

There is also a choice about what we mean by advantage. Landing frequency concerns movement. Cash concerns liquidity. Property holdings concern potential future income. Remaining in the game concerns survival. A claim that one rule improves a player’s position must say which of these is being evaluated. The transfer example above measures the cash gap after one declared event and makes no claim about any of the others.

5. The rule at your table is another edition

Hasbro’s archived instruction sheet numbered 00009 includes a Classic Monopoly section. In that section, declined purchases go to auction, taxes and fines are collected by the bank, and Free Parking gives no reward. The sheet also includes a separate Speed Die option; that option is outside the comparison here (Hasbro, n.d., Classic Monopoly rules).

A jackpot funded by taxes and fines therefore creates another destination for money. Omitting auctions creates another acquisition procedure. Both changes are worth studying, but a description of their resource flows is not enough to predict a game’s duration. This archive’s earlier duration estimates had no reproducible run behind them and remain withdrawn.

A proper experiment would identify the edition and every altered rule, define the players’ policies, preserve random seeds, name a stopping condition and report incomplete games as well as completed ones. It would measure turn counts before trying to infer elapsed minutes. Trading and negotiation introduce human time that a token-movement model does not contain.

The table offers a practical version of the same discipline. When someone proposes a house rule, ask where the payment goes, what opportunity it creates, who can use that opportunity and what would count as improvement. The answer may be an enjoyable variation rather than a more balanced game. Naming that purpose is useful. It lets the players choose the system they are making, instead of treating a familiar-looking board as a guarantee that they are all playing the same game.