Position Sizing and Risk as a Systems Problem: Survival, Feedback, and the Structure of Loss

The question of how much to trade is usually treated as a technical detail — a calculation performed after the real decision, the trade idea, has been made. This is a structural error. Position sizing is not a detail. It is the primary constraint that determines whether a trader remains part of the market system long enough for any edge to compound. In systems terms, the trader's account is a bounded subsystem with finite resources. Each trade is an input into that system. The stop loss is a feedback loop that tests the hypothesis against reality. Slippage is a system response to liquidity constraints, not a broker failure. Position size is the variable that determines whether a single shock can destroy the subsystem entirely. The market does not care how much a trader has put on. The players do not care. The market maker does not care. The only thing sizing protects is the trader. And without that protection, the system will fail.

(direct video / playlist)

The Order of Decisions

Most retail traders approach sizing backwards. They find a setup, become excited about it, and then ask how much to put in. The order of decisions matters because a setup that appears attractive is exactly the moment when judgment is least reliable. Excitement and fear are the two forces most likely to push a trader toward an oversized position, and neither is a reason to size up. In a well-structured system, constraints are set in advance. Deciding a sizing rule before looking at a specific stock takes the decision out of the hands of whichever emotion happens to be loudest that day. The rule becomes a boundary, and the boundary is part of the system's design. The trader who sizes according to a pre-defined rule is not making a decision about each trade. They are implementing a system-wide constraint that has already been tested against the range of possible outcomes. That is the difference between reacting and designing. Herbert Simon's concept of bounded rationality applies here. The human mind does not optimise under perfect information; it satisfices, choosing the first acceptable option within the limits of cognitive capacity and organisational context. The sizing rule is the organisational expression of that constraint. It is an acknowledgement that the trader cannot evaluate every possible position, and therefore must restrict their risk to a predefined boundary. The rule is not a limitation. It is a liberation from the need to decide under pressure. The trader who has a rule does not need to decide how much to risk in the moment. They already decided, in advance, when their judgment was not compromised by the excitement of a specific opportunity or the fear of a recent loss.

What Sizing Actually Protects Against

The function of sizing is often misunderstood. It is not about making any individual trade safer. The stock does not care how much the trader has put on it. It is about making sure that no single trade, or run of trades, can take the trader out of the game entirely. The trader only gets to compound an edge over time if they survive long enough to keep applying it. Imagine two traders, both with £10,000 accounts, both right about the same stock in the same direction. One risks 2% of the account on the trade. The other risks 20%. The stock does the same thing for both of them. If it works, the second trader makes a much larger gain. That is precisely why oversizing feels rewarded when it goes well — the win reinforces the habit. If it does not work, the first trader is down £200 and can take the same shot again tomorrow with a clear head. The second trader is down £2,000, and now every decision they make is coloured by the need to get that back. That is the spiral that turns one bad trade into a ruined account. The difference is not in the trade itself. It is in the system's capacity to absorb the loss and continue operating. A 2% loss is a signal. A 20% loss is a structural change. The first trader can update their thesis and try again. The second trader is now operating with a smaller resource base, a heightened emotional state, and a greater urgency to recover. That urgency distorts future decisions. It pushes the trader toward larger positions, tighter stops, and a shorter time horizon — precisely the conditions that make losses more likely.

Best Practice: The 2% Rule

There is no single correct number that works for every person and every setup, but there is a common, sensible starting principle: risking a small, fixed percentage of the account on any one position. The 2% rule is the most widely cited version of this principle, and for good reason. It is not arbitrary. It is a practical balance between giving a trade enough room to work and limiting the damage when it does not. The advantage of a percentage over a fixed sum is that it scales automatically with the account's state. As the account grows or shrinks, the actual amount at risk adjusts with it. A trader with a £10,000 account risking 2% is risking £200 per trade. A trader with a £50,000 account is risking £1,000. The percentage remains constant, but the nominal amount adapts to the system's current resource base. That is the hallmark of a well-designed scaling rule. It is self-regulating. It is worth being precise about what "risking 2%" actually means, because it is not the same as putting only 2% of the account into the position. It means sizing the position so that if the stop is hit, the loss comes to roughly 2% of the account. That depends on both the position size and how far away the stop is placed. A tighter stop allows a larger position for the same amount of risk. A wider stop forces a smaller one. Sizing and stop placement are really one decision, not two separate ones made independently. The 2% rule is a starting point. It is not a rigid law. A trader might choose 1% for more conservative accounts or 3% for more aggressive strategies. The key is consistency. The rule must be applied before the trade is entered, not adjusted in response to a loss or a feeling of unusual certainty. The rule is the system's immune response. It prevents small errors from becoming fatal infections. A trader who adjusts the rule after a loss is not following the rule. They are following their feelings, and their feelings are precisely what the rule was designed to override.

The Relationship Between Stops and Sizing

A stop loss tells a broker to sell once a price is hit. It does not guarantee that the trader will actually get that price. In a liquid stock, the gap between the stop price and the actual fill is usually trivial. In a thin, low-float stock moving fast, the price can blow straight through the stop, and the fill comes back meaningfully worse than where it was set. A stop meant to cap a 2% loss can end up costing 4% or 5% simply because there was not enough standing between the stop price and the next available price to absorb the order cleanly. This is not a failure of the broker. It is a structural feature of the system. The market maker, discussed in earlier essays, manages inventory and spreads. The stop loss is a rough guide, not an exact guarantee. Sizing for a volatile name must build in an allowance for that gap, treating the stop distance as a constraint rather than a guarantee. The trader who ignores this is not applying the 2% rule properly. They are applying it blindly, without regard for the system's actual structure. Glosten and Milgrom (1985) formalised this problem. In their model, the bid-ask spread exists because the market maker must protect against the risk that the next order comes from someone who knows more than they do. The spread is the cost of providing liquidity in a world of incomplete information. Slippage is the same mechanic showing up at the worst possible moment. The trader who sizes for a volatile, low-float stock must account for this. The 2% rule is a guide, not a guarantee, and the gap between the two is the cost of participating in a market that is not perfectly liquid.

The Propagation of Errors

A position that is too large does not merely create a larger loss. It changes the system's trajectory. The trader who loses 20% of their account on a single trade is not simply down 20%. They are now operating with a smaller resource base, a heightened emotional state, and a greater urgency to recover. That urgency distorts future decisions. It pushes the trader toward larger positions, tighter stops, and a shorter time horizon — precisely the conditions that make losses more likely. This is a feedback loop. The output of one trade becomes the input for the next. The system's state has changed, and the change is not neutral. A 2% loss leaves the system intact. A 20% loss changes the system's behaviour. The trader who has lost 20% is no longer the same trader who started the sequence. Their risk tolerance has shifted. Their judgment is compromised. Their ability to execute the sizing rule with discipline has been undermined by the very loss that the rule was meant to prevent. Kahneman and Tversky (1979) demonstrated that losses are felt more acutely than equivalent gains. The reluctance to realize a loss, combined with the urgency to recover it, creates a pattern of decision-making that is structurally misaligned with the system's requirements. The trader who needs to win it back faster is the trader most likely to make the next mistake. The feedback loop accelerates. The system spirals toward failure. Shefrin and Statman (1985) described the disposition effect: the tendency to sell winners too early and hold losers too long. This is not a cognitive flaw. It is a predictable response to the structure of the decision environment. The sizing rule is a structural intervention. It does not change the psychology of the trader. It changes the consequences of that psychology. A trader who holds a losing position that is 2% of their account is making a mistake. A trader who holds a losing position that is 20% of their account is making a catastrophe. The rule does not prevent the mistake. It prevents the mistake from becoming a catastrophe.

(direct video / playlist)

The Mistakes That End Accounts

A few patterns show up again and again, and they are worth naming directly. Sizing up after a loss to win it back faster is probably the most common. It is also exactly backwards. A loss is information that the read was wrong or the timing was off, not a reason to bet bigger on the next idea. The trader who sizes up after a loss is treating the loss as a reason to increase risk. The correct response to a loss is to decrease risk until the system has stabilised. Sizing up because a setup feels unusually certain is the second. Certainty is a feeling, not a fact, and the setups that feel most certain are sometimes the ones where the trader has stopped checking their own thesis properly. The trader who is certain is the trader who has stopped questioning. That is not a position of strength. It is a position of vulnerability. Averaging down repeatedly into a losing position without a plan can quietly turn a small, sized position into an enormous, unsized one without ever feeling like a single deliberate decision to take on that much risk. Each addition feels small. Each addition feels reasonable. The aggregate does not. The trader who averages down without a plan is not sizing. They are drifting.

Conclusion

Position sizing is not an advanced topic to be learned once the rest of trading is mastered. It is the foundational constraint that determines whether the trader remains in the system long enough for any other skill to matter. In systems terms, it is the boundary around the account, the feedback loop that tests each hypothesis, and the scaling rule that adapts to the system's state. The 2% rule is a practical expression of that principle, but it is not a substitute for judgment. The rule must be applied with reference to the system's actual structure: volatility, liquidity, and the gap between the stop and the fill. The chart does not care how much the trader has put on. The players do not care. The market maker does not care. The only thing sizing protects is the trader. And without that protection, the system will fail.

References

Glosten, L.R. & Milgrom, P.R. (1985). 'Bid, Ask and Transaction Prices in a Specialist Market with Heterogeneously Informed Traders'. Journal of Financial Economics, 14(1), pp. 71–100. Kahneman, D. & Tversky, A. (1979). 'Prospect Theory: An Analysis of Decision under Risk'. Econometrica, 47(2), pp. 263–292. Shefrin, H. & Statman, M. (1985). 'The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence'. The Journal of Finance, 40(3), pp. 777–790. Simon, H.A. (1957). Models of Man: Social and Rational. New York: Wiley.

Regards,

Russell Larke

BA (Hons) Business Management | MSc Candidate (Systems Thinking)

Trading Beyond Charts

What Is the Bid-Ask Spread? 

The bid-ask spread is the gap between the highest price a buyer is willing to pay and the lowest price a seller is willing to accept for a security. It is the most immediate and inescapable transaction cost in financial markets, yet it is often overlooked by retail traders focused on commissions and fees. This essay explains the mechanics of the bid-ask spread, why it represents a structural cost rather than a broker's trick, how it reflects underlying market liquidity, and why understanding it is fundamental to reading the tape and recognising the real price of entry and exit in any trading strategy.

(direct video / playlist)

1. One Asset, Two Prices: Understanding the Bid and Ask

Every listed security has not one price but two. The bid is the highest price any buyer in the market is currently willing to pay for a share. The ask — sometimes called the offer — is the lowest price any seller is currently willing to accept. The difference between these two numbers is the bid-ask spread, and it is the foundational unit of market microstructure.

This dual-price system is not an artefact of broker dealing desks or a relic of open-outcry trading floors. It is the direct consequence of a market in which buyers and sellers do not arrive simultaneously, do not share identical views on value, and do not all possess the same urgency to transact. The bid and the ask are the visible surface of a deeper order book, where resting limit orders from market participants represent their willingness to provide liquidity at specific price points. The spread is the gap between the best bid and the best ask — the narrowest point at which a transaction could immediately occur.

For a retail trader watching a live price feed, the distinction is critical. The last traded price, quoted on most free financial websites, is a historical record of a completed transaction. It is not the price at which the trader can now buy or sell. To buy, the trader must cross the spread to the ask. To sell, they must accept the bid. The spread is the cost of immediacy — the premium paid to transact now rather than wait for a counterparty who might agree to a better price.

2. The Spread as a Transaction Cost: Why You Start Every Trade in the Red

Consider a stock with a bid of £1.00 and an ask of £1.02. A trader who buys at the ask and immediately sells at the bid loses £0.02 per share — roughly 2% of the capital deployed — without the stock price moving at all. That loss is not a broker's commission, not a platform fee, and not a malfunction of the trading system. It is the spread doing exactly what it is designed to do: compensating the market maker or liquidity provider who stood ready to take the other side of the trade.

This is the hidden cost embedded in every transaction. Commission-free trading platforms have eliminated explicit fees, but the spread remains. For a highly liquid stock with a one-penny spread, the cost is negligible. For a thinly traded stock with a spread of 5% or more, the cost of entry and exit can be devastating — particularly for active strategies that depend on frequent, small gains. A trader who turns over their portfolio regularly in illiquid names is paying the spread repeatedly, each time handing a small edge to the counterparty on the other side.

The spread is not a trick. It is a structural feature of any market where liquidity is provided by participants who bear the risk of holding inventory. Understanding it is the difference between thinking a trade is free and knowing what it actually costs.

3. Liquidity and the Width of the Spread: What the Gap Tells You

The width of the bid-ask spread is a direct reflection of a security's liquidity — the ease with which it can be bought or sold without moving the price. A liquid stock, heavily traded with a deep order book, will typically have a tight spread: a single penny, or even a fraction of a penny, separating the bid from the ask. An illiquid stock, traded infrequently and with few resting orders on the book, will have a wide spread — sometimes several percentage points of the share price.

This relationship between spread width and liquidity is not accidental. Market makers and other liquidity providers widen the spread to compensate themselves for the risk of holding an illiquid position. If a security trades only a few hundred shares a day, a market maker who fills a buy order may be forced to hold that position for hours or days before finding a seller, during which time the price could move against them. The wider spread is the insurance premium against that risk. It is also a signal to the observant trader: a wide spread means the market is thin, and the cost of getting in and out is high.

For the tape reader, the spread is one of the first pieces of information to assess before entering a position. A stock with a compelling catalyst but a 4% spread between the bid and the ask is offering a structural headwind before the trade has even begun. The pattern may look good. The cost of executing it may render it unprofitable regardless of the outcome.

4. The Market Maker's Role: Not Your Friend, Not Your Enemy

It is tempting to personify the spread as a dealer taking a cut at the trader's expense. The reality is more mechanical. Market makers are not betting on price direction; they are providing a service — continuous liquidity — and charging for it through the spread. They stand ready to buy at the bid and sell at the ask, absorbing order flow imbalances and smoothing price discovery. Without them, thin stocks would have wider spreads still, and execution would be far less reliable.

Market makers manage their inventory and risk, seeking to earn the spread as compensation for the capital they commit and the adverse selection risk they bear — the risk that the counterparty knows something they do not. When an informed trader executes against them, the market maker loses. The spread must be wide enough, on average across thousands of trades, to cover those losses and still produce a profit.

They are not allies. They are not adversaries. They are a utility — a toll booth on the motorway of market access. You pay the toll, you get to cross. Understanding the toll is part of navigating the road.

5. Practical Implications for Retail Traders

The bid-ask spread has direct, practical consequences for anyone executing a trade. First, it means that a position begins underwater the moment it is opened. The price must move favourably just to reach breakeven. Second, for traders using stop-loss orders, the spread must be accounted for in position sizing: a stop placed too close to the entry may be triggered not by a change in value but by the ordinary mechanics of the spread itself. Third, for strategies involving frequent trading, the cumulative cost of crossing the spread repeatedly can erode returns even when the directional calls are correct.

There is no way to avoid the spread entirely. The only defence is awareness: checking the bid and ask before entering, sizing positions with the spread cost in mind, and recognising that a wide spread is a signal of thin liquidity — a warning that this particular road carries a higher toll than it first appears.

6. Conclusion: The First Lesson of Market Structure

The bid-ask spread is not glamorous. It does not generate headlines or drive narrative. But it is the most fundamental structural feature of any traded market, and understanding it is the first step toward reading the tape with clarity. Every trade begins with the spread. Every position starts in the red. The market does not care whether the trader has noticed. It collects the toll regardless.

The trader who ignores the spread is trading blind to the cost of doing business. The trader who understands it has taken the first step away from pattern-matching and toward structural literacy — the discipline of seeing the market as it actually operates, beneath the surface of price charts and breakout signals. That is what the Larke Cycle teaches. And it starts here, with two numbers on a screen, and the gap between them.

Regards,

Russell Larke

BA (Hons) Business Management | MSc Candidate (Systems Thinking)
Trading Beyond Charts

Why a Substantive Wealth Tax Cannot Work: The Liquidity Problem Nobody Designs Around

The aim behind a wealth tax is not hard to understand, and it deserves to be taken seriously rather than dismissed. The argument that those who hold the most should contribute more, and that extreme concentrations of wealth sit uneasily alongside strained public services, is a fair position for people to hold. Nobody serious should pretend the underlying concern is illegitimate.

The problem is not the aim. It's the mechanism. A wealth tax, applied at any rate substantial enough to matter, runs directly into a structural fact about how the wealth in question actually exists — and that fact doesn't bend to political will, however well-intentioned the policy behind it.

The Number on Paper Is Not the Number in the Bank

Take Elon Musk's holding in SpaceX as a concrete illustration, using the actual current numbers rather than a hypothetical. SpaceX listed on Nasdaq in June 2026 following its merger with xAI, pricing its IPO at $135 a share in the largest public offering in history. As of mid-2026 the company's market capitalisation sits close to $2 trillion, and Musk's personal stake is roughly 42% of the equity — something in the region of 6.4 billion shares.

Multiply his share count by the trading price and you get a headline "net worth" figure in the hundreds of billions. That figure is real in one specific, narrow sense: it accurately reflects what his shares are worth at the current market price, for the volume of shares that actually trade. It is not real in the sense that matters for a tax bill. It is not cash. It has never been cash. And there is no mechanism by which the government, or Musk himself, can convert a meaningful fraction of it into cash without changing the number it was supposedly measuring.

Why the Starting Number Is Already an Illusion

Before we even reach the question of what happens when shares are sold, there is a more basic problem with the valuation itself. The $125 share price is not a measure of what SpaceX is worth in any absolute sense. It is a measure of what supply and demand will support for the 500 million shares that currently trade — the public float. Multiply that price by the 13 billion shares that exist, and you produce a headline market capitalisation figure that looks authoritative. But the mathematics is invalid from the start.

[This is where the structural illusion begins — and it is not unique to SpaceX. The $125 share price is set by supply and demand for the 500 million shares that actually trade. The remaining 12.5 billion shares are locked up: Musk's stake, institutional holdings, restricted stock. Multiply the float price by the full outstanding share count and you produce a headline valuation that looks authoritative, but the number is a mathematical projection, not a realisable sum. Every listed company operates this way. The float is always smaller than the outstanding shares. The headline market cap — the very figure a wealth tax would use to calculate liability — is always an overstatement, because it assumes the full share count can be liquidated at the current marginal price. It cannot. The price depends on the stock not being sold. A wealth tax that levies a charge against this headline number is not taxing wealth — it is taxing a modelling assumption. And the moment it forces a sale to collect, the assumption collapses.]

(direct video / playlist)

The price per share exists because 12.5 billion shares don't trade. The scarcity of available shares is what supports the price. To then take that scarcity-derived price and apply it to the very shares whose absence created it is not a valuation — it's a category error dressed up as arithmetic. If you attempted to introduce those 12.5 billion shares into the market, you would not receive $125 for each of them. You would receive a rapidly declining price as supply overwhelmed demand, and the final figure would be a fraction of the headline number. The wealth being taxed never existed in the form the tax calculation assumes. It is a mathematical ghost — a theoretical, illusory vanity figure produced by multiplying a flow price by a stock quantity, without accounting for the fact that the price depends on the stock not being sold.

This is not merely a SpaceX problem. Every listed company has a float that is smaller than its outstanding shares. The headline market capitalisation — the number that would be used to calculate a wealth tax liability — is always a projection that assumes the full share count could be liquidated at the current marginal price. It cannot. The float is what trades. The rest is locked up: founders' stakes, institutional holdings, restricted stock, unexercised options. The price you see on the screen is the price for the shares actually available. Apply it to the shares that aren't, and you are no longer doing finance — you are doing astrology with a spreadsheet.

This is the structural absurdity at the heart of any wealth tax applied to equity holdings. It levies a charge against a number that can only exist under conditions the tax itself makes impossible to maintain. The valuation is real only so long as nobody is forced to test it — and the tax, by design, forces the test.

Why the Price Cannot Survive the Sale

A share price is not a fixed, stable fact about a company. It is the outcome of supply and demand meeting at a specific volume, at a specific moment. SpaceX's current price reflects what buyers are willing to pay for the shares actually available to trade — the public float, plus whatever locked shares gradually unwind over time. Musk's entire 6.4 billion share stake sits under an extended lockup that doesn't expire until June 2027, specifically because the market cannot absorb that volume of supply without the price collapsing under the weight of it.

This is not a technicality. It is the entire point. If a wealth tax required Musk to liquidate even a modest fraction of his stake in a single tax year — enough to raise a meaningful sum against a bill calculated on a headline valuation in the hundreds of billions — that sale would itself have to be disclosed. As a company insider and affiliate, any sale of that scale would require an SEC Form 4 filing, and any regular disposal programme would typically run through a Rule 144 volume-limited, pre-scheduled 10b5-1 plan precisely because dumping a large block onto the market at once moves the price against the seller. The market would see the filing, correctly interpret it as forced or semi-forced selling from the largest holder, and price the stock down in anticipation of more to come. The $2 trillion valuation the tax bill was calculated against would not survive contact with the sale required to pay it.

This produces an almost absurd loop: the tax is levied against a number, the payment of the tax destroys the number, and the following year's tax bill is calculated against a lower number that was only lower because of the tax. Chase that far enough and either the tax raises steadily less than projected, or it functionally forces a controlling founder to surrender control of the company entirely, share sale by share sale, to pay tax on a valuation that existed only because he hadn't yet been forced to sell.

This Is Not Just a Problem for Billionaires

Wealth taxes are aimed at extreme wealth, and it's fair to note that most people will never be personally affected by one. But the underlying mechanical problem — taxing the estimated value of an illiquid asset rather than actual income — is exactly the same one that shows up, at smaller scale, in ordinary council tax and any proposed property-based wealth levy. If you owned your home outright and were taxed annually not on income but on the assessed market value of the house and the car on the drive, you would face the identical structural bind: the asset is worth something on paper, but nothing about that valuation puts money in your account to pay the bill. Your options become selling the asset, borrowing against it, or falling into arrears — none of which is what "the rich should pay more" was supposed to produce for a pensioner sitting in a house that happened to appreciate.

What Forced Selling Does to the Market Being Taxed

Scale the SpaceX example up to a genuine, economy-wide wealth tax and the same mechanism compounds. If a meaningful number of large holders are simultaneously required to liquidate portions of equity, property, or other illiquid holdings to meet the same annual tax deadline, that isn't isolated selling — it's correlated selling, concentrated in a predictable window, which is precisely the condition that moves prices hardest. Equity markets would see recurring, forecastable downward pressure timed to tax season. Housing markets subject to a similar logic would see exactly what you'd expect from a wave of reluctant, tax-driven sellers meeting buyers who know the sellers are under time pressure: falling prices, precisely among the class of asset the tax was trying to capture value from. Since the tax is calculated as a percentage of assessed value, a falling asset base directly shrinks the revenue the tax was designed to raise — the policy would be undermining its own tax base in real time.

The effects don't stop at the specific asset class. Forced liquidation at scale to raise cash tends to spill into the safest, most liquid instruments available — government bonds being sold to raise cash quickly, or foreign holdings being repatriated or converted, put pressure on bond yields and currency markets that have nothing directly to do with the wealth tax's stated target. A policy aimed narrowly at billionaires' equity stakes can end up moving the cost of government borrowing and the exchange rate for everyone, simply through the mechanics of large, correlated, time-pressured selling finding its way into adjacent markets.

The Incentive Problem Underneath the Mechanics

There's a second-order effect worth naming directly: who continues to build, or invest early in, a company under a tax regime that forces them to sell down their own ownership stake every year simply to remain compliant, regardless of whether the company has generated any cash they could actually use to pay it? Founder-controlled companies exist because control was worth retaining through years of no profit, in exchange for equity that might eventually be worth something. A tax that forces annual dilution of that control, independent of any liquidity event, changes the calculation for anyone deciding whether founding or scaling a company in that jurisdiction is worth doing at all.

Why "Switzerland Manages It" Isn't the Counterexample It Looks Like

Switzerland, Norway, and Spain are usually cited as the proof that a wealth tax can be made to work, and Switzerland's is often held up as the durable, successful version. Look closer and the example undermines the point it's meant to support. Switzerland's wealth tax is a cantonal patchwork, with several cantons offering low headline rates and lump-sum taxation deals specifically designed to attract wealthy foreign residents. It functions, in practice, as the destination wealth flees to — not evidence that a wealth tax survives contact with mobile capital, but a live demonstration of where that capital goes once it starts moving.

Norway supplies the data. After the government raised its wealth tax rate by just 0.1 percentage points in 2022, 82 Norwegian billionaires and multimillionaires left the country across 2022 and 2023 — more than had left in the previous thirteen years combined — taking roughly 46 billion kroner (around $4.3 billion) in wealth with them. More than 70 of them moved specifically to Switzerland. Fishing-and-industrial magnate Kjell Inge Røkke, at the time Norway's third-richest person, said plainly on departure: "My capital will continue working in Norway" — the tax hadn't captured the wealth, it had simply relocated the person attached to it, at a cost the Norwegian treasury is still absorbing in lost annual revenue.

France offers an older version of the same pattern, wrapped in a widely repeated but genuinely contested statistic: London has long been called "the sixth biggest French city," a line used by Boris Johnson and reported in French media since the Sarkozy era. British demographic data disputes the precise ranking — official population figures put the real number of French nationals in London well below what would be needed to support that claim literally. But the underlying migration is real and well documented regardless of the exact statistic: France's wealth tax and François Hollande's 75% top income tax rate drove a genuine, sustained wave of wealthy French residents, from Gérard Depardieu to a long list of bankers and entrepreneurs, into London specifically. France repealed its wealth tax in 2018 in significant part because of exactly this dynamic.

The pattern is currently repeating in the UK itself. Following Labour's October 2025 budget and its changes to capital gains and inheritance tax treatment, wealthy residents have been leaving Britain for lower-tax jurisdictions — property investors Ian and Richard Livingstone relocated their residency to Monaco in early 2026, one of a wider group of departures reported through 2026. France's own finance ministry has since expressed concern about a wealth-tax "race to the bottom," worried that any further increase on their side will simply accelerate flight toward the UK's more favourable regime — the same dynamic in reverse, showing this isn't a France-specific or Norway-specific quirk. It is what mobile wealth does whenever one jurisdiction's tax burden diverges meaningfully from a nearby alternative's.

Where the Fair Counterargument Actually Sits

None of this means the underlying concern about concentrated wealth is illegitimate, and it's worth being precise about where genuine, defensible disagreement still exists rather than treating the case above as fully closed.

Some proposals are explicitly designed around the liquidity and mobility problems rather than ignoring them. Senator Ron Wyden's billionaires income tax proposal in the US treats unrealised gains as pre-payment against eventual realised gains, with multi-year payment and deferral provisions for genuinely illiquid holdings. Property-based wealth taxes have one genuine structural advantage over equity-based ones: real estate cannot relocate to Switzerland the way a person or a share portfolio can, which removes the mobility escape route, even though the forced-sale price-impact problem described earlier still applies in full. And a wealth tax coordinated across multiple major jurisdictions simultaneously, rather than imposed unilaterally by one country, would close off much of the "just move to the country next door" option that the Norway and UK examples above depend on — genuinely difficult to coordinate in practice, but not a logical impossibility.

What the evidence above does establish fair

Regards,

Russell Larke

BA (Hons) Business Management | MSc Candidate (Systems Thinking)
Trading Beyond Charts

ly firmly is that a wealth tax imposed by a single jurisdiction, on mobile capital, without serious accommodation for both the liquidity problem and the migration incentive, will lose a meaningful share of its intended tax base to relocation before it ever collects the revenue it was modelled on. Whether a more careful, internationally coordinated, immobile-asset-focused design could avoid both problems at once is the genuine open question — and it's a much harder design problem than "tax the billionaires" makes it sound.