The 61% Invariant: Deconstructing Polymarket's Geopolitical Pricing Engine

A probability appeared on-chain. Sixty-one percent. Polymarket traders attached this value to a proposition: Hamas will disarm before the year ends. Not 50. Not 70. Sixty-one. The figure emerged within hours of a Trump peace-deal announcement. A market moved. A narrative moved with it. This is not a news report. This is an audit. The 61% number sits on Polygon. It is priced by an automated market maker. It will be settled by an optimistic oracle. It is mediated by a company registered in Delaware. The immediate question is whether the number means what the media says it means. The deeper question is whether any number produced by this machinery can carry the epistemic weight assigned to it. Code is law, but logic is the judge. Let me execute the full logical path. Polymarket launched in 2020 as a decentralized prediction market. Users deposit USDC. They purchase shares in binary outcomes. The share price ranges from zero to one dollar. The price equals the market probability. At settlement, winning shares redeem at par. Losing shares redeem at zero. This is the entire mechanism. Simple. Elegant. Brutally exposed to the quality of its inputs. The platform is not a pure decentralized application. It is a hybrid. The front end is a centralized web application. The order matching is centralized. The custody of user funds is centralized. The settlement is on-chain, on Polygon. This architecture is pragmatic. It is also a single point of failure. Users trust the company, not just the code. Polymarket broke through during the 2024 U.S. election cycle. Billions of dollars changed hands. The Trump versus Harris contract became a fixture of cable news coverage. Reporters began quoting Polymarket probabilities as if they were polling data. They were not. Polls sample populations. Markets price capital. The distinction matters more than most commentary acknowledges. Prediction markets have a long lineage. The Iowa Electronic Markets have operated since 1988. PredictIt has run regulated academic markets since 2014. The theoretical foundations trace to Friedrich Hayek's insight that prices aggregate dispersed information, and to Robin Hanson's later advocacy of prediction markets as a public utility. None of this theory is new. Polymarket's contribution is not novel mathematics. It is novel settlement infrastructure. Transparent. Programmatic. Globally accessible. Resistant to the whims of a single institution. The Trump peace-deal announcement triggered a new market: the probability that Hamas disarmament will be completed by year-end. The market opened. It priced. It landed at 61%. Now the work begins. Section 1 — Reading 61% as a System Output Every prediction market price is the output of a system. The system has components: participants, capital constraints, information asymmetries, liquidity depth, oracle assumptions, and settlement rules. The price is an emergent property. It is not a soul. It is a point in a state space. It is what happens when the marginal buyer meets the marginal seller at a specific timestamp. The timestamp matters. Prices decay. Information flows. The 61% is a moment, frozen by a screenshot, reported as if it were a durable truth. Formally, the market prices a conditional claim. Let E be the event "Hamas disarmament occurs by December 31." The price of the YES share, p, is the market's best current estimate of P(E | I_t), where I_t is the information set available to traders at time t. That information set includes the Trump peace framework. It includes Israeli military pressure. It includes Hamas internal dynamics. It includes regional diplomatic incentives. It includes a hundred other factors distributed across the minds of traders. The theoretical appeal is that the market aggregates these dispersed information sets more effectively than any individual expert. This is the Hayekian knowledge problem reframed: the market is a computational instrument that compiles distributed knowledge into a single scalar. In a well-functioning market, the price is the optimal forecast. The practice is messier. Markets aggregate accurately only under specific conditions. Participants must have access to relevant information. They must have the capital to express their views. They must have incentives to trade on their beliefs. And there must be enough participants to prevent any single actor from dominating the price. None of these conditions holds perfectly. All of them hold imperfectly in niche geopolitical markets. I have spent my career auditing decentralized systems. The first rule of protocol analysis is to distinguish the mechanism from its assumptions. The mechanism is the math. The assumptions are the conditions under which the math produces true statements. The 61% is the output of correct math operating under unverified assumptions. That makes it a hypothesis, not a theorem. Section 2 — The Market Microstructure Let me inspect the mechanism layer by layer. Polymarket's binary markets operate through a continuous double auction augmented by an automated market maker. The design is straightforward. An AMM maintains a constant product curve across the YES and NO share inventories. Traders swap between USDC and shares. The price adjusts with each trade. For a binary market, the invariant is simple. YES shares and NO shares are complementary. If the price of YES is p, the price of NO is 1 minus p. The AMM enforces this relationship through arbitrage. Any deviation is immediately corrected by arbitrageurs. This is the elegant part. The market is self-consistent by construction. The mechanism has a documented property: it incentivizes information revelation. A trader who knows the true probability is 70 percent will buy YES shares at 61 cents, driving the price toward 70 cents. A trader who knows the true probability is 50 percent will buy NO shares, driving the price down. The equilibrium converges toward a rational expectations solution. But the mechanism has a second property, less discussed. Capital substitutes for knowledge. A single well-capitalized trader can move the price without possessing superior information. If the order book is thin, a large buy order for YES shares can push the price upward by several points. The market price then reflects the trader's capital, not the trader's knowledge. The two are not the same thing. In 2020, during DeFi Summer, I derived slippage error bounds for large Uniswap V2 swaps. I found that the constant product invariant generates price impacts that diverge from true oracle prices as swap size increases. The mechanism was correct. The assumptions were incomplete. The same logic applies here. The prediction market mechanism is functioning as specified. But the specification encodes assumptions about participant diversity and information symmetry that do not hold in thin geopolitical markets. In adversarial execution path analysis, the first step is to identify who can exploit the mechanism. For a thin prediction market, the attack vector is capital deployment. The defender's tool is liquidity depth. The Hamas disarmament market is not deep. Section 3 — The Architecture Beneath the Number The company behind Polymarket is Blockwork Media Inc., registered in Delaware. The founder, Shayne Coplan, comes from a Web2 search background. The platform has raised over one hundred million dollars from top-tier investors, including Founders Fund, a16z, and other prominent venture firms. These investors bring capital, connections, and credibility. They do not bring decentralization. There is no native token. There is no DAO. There is no community governance. The company controls market creation, market criteria, and resolution rules. This centralization has advantages: decision speed, regulatory responsiveness, and product coherence. It has disadvantages: a single point of failure in custody, front-end administration, and market integrity. Let me trace the full execution path. A user deposits USDC. The wallet connects to the Polygon chain. The user places an order through an off-chain order book. The order is matched by an intermediary. Settlement occurs on-chain. The oracle layer is UMA's Optimistic Oracle. The Optimistic Oracle is an elegant design. Proposers submit proposed outcomes. A challenge period begins. If no one challenges within the specified window, the proposal is accepted. If someone challenges, a dispute is escalated to UMA token holders, who vote on the correct outcome. The mechanism assumes honesty but does not verify it. It relies on the economic incentive of challengers to correct false proposals. This design works beautifully for clean reference events. Consider the question: "Does Bitcoin close above one hundred thousand dollars on December 31?" The answer is public, timestamped, and cryptographically verifiable. Disputes are rare. When they occur, the resolution is straightforward. The design works poorly for politically contested events. "Hamas disarmament" is not a clean binary. It is a political process with no public data feed, no neutral arbiter, and no agreed-upon definition. What counts as disarmament? Full disarmament? Partial? A handover of heavy weapons? A political commitment? The predicate is ambiguous. This is where my concern sharpens. The oracle assumes a well-defined reference event. The underlying event is not well-defined. This is not a technical bug. It is a specification bug. The specification of the event's outcome is the political reality of the Gaza conflict. No smart contract can fully capture that reality. A bug is just an unspoken assumption made visible. The unspoken assumption is that "Hamas disarmament by year-end" refers to an observable, verifiable state transition. Reality may not cooperate. Section 4 — The Epistemology of 61 Percent Here is the deeper problem. The media treats Polymarket probabilities as objective truth. The framing "Polymarket bettors give Hamas disarmament by year-end a 61 percent chance" is technically accurate. It is also epistemically misleading. It confers a statistical authority that the system has not earned. Let me be precise about the mathematical objects involved. The 61 percent is a conditional expectation of the marginal trader cohort. It is not the probability of the event. These are different objects. The market price conditions on the participants present, the capital deployed, and the information accessible at a given time. Remove any of these conditions, and the price changes. Polymarket's user base is not a representative sample of humanity. It is a self-selected cohort of crypto-native users, risk-tolerant speculators, geopolitical enthusiasts, and information arbitrageurs. The selection bias is not a bug. It is a feature of who trades. But it distorts the price relative to any definition of public opinion or true probability. The academic literature on prediction markets is instructive. Prices aggregate information efficiently when volumes are high and participants are diverse. When volumes are thin and participants are homogeneous, prices drift. The Hamas market is thin. The participant set is narrow. The 61 percent is closer to a weighted opinion than a rigorous probability. Let me add a numerical intuition. If a market has one hundred thousand dollars of committed capital and fifty active traders, the price signal is roughly as informative as a poll of fifty knowledgeable people. A poll of fifty people carries a margin of error around fourteen percentage points. The 61 percent is, in this framing, statistically indistinguishable from 47 percent or 75 percent. The number is not meaningless. It is imprecise. The precision implied by the media framing is fraudulent. The curve bends, but the invariant holds. The invariant is the mechanism, not the number. The mechanism encodes the preferences, beliefs, and capital constraints of its participants. It does not encode objective truth. This distinction is lost in translation. Section 5 — Liquidity and Its Discontents Let me examine the liquidity profile in detail. Polymarket's aggregate volumes across the 2024 election cycle reached billions of dollars. But volume is concentrated. A handful of star markets account for the majority of traded value: the presidential election, congressional control, and a few high-profile referenda. Niche markets like the Hamas disarmament contract receive residual liquidity. Thin order books. Wide spreads. Shallow market depth. These are precisely the conditions under which price manipulation becomes feasible. Consider the math. In a market with fifty thousand dollars of total open interest, a twenty-thousand-dollar buy order can move the price materially. The smaller the market, the cheaper the manipulation. A determined actor with strategic capital can push the price to a target level and then watch the media amplify the signal for free. Why would an actor manipulate a geopolitical prediction market? Several rational reasons exist. First, narrative control. A headline that says "the market expects 61 percent" frames public discourse. Perception management is a core instrument of modern diplomacy and political warfare. An actor who can fund a narrative at the cost of twenty thousand dollars has secured a bargain. Second, signaling. A negotiator might wish to signal confidence by betting heavily on YES. Or signal skepticism by buying NO. The market becomes a communication channel. A megaphone with a price tag. Third, derived financial effects. If prediction market prices feed into other derivative products, options, or index products, moving the underlying probability can trigger cascading effects. The market becomes an attack surface for the broader financial ecosystem. Fourth, pure profit. If an actor possesses non-public information about the negotiations, they can trade on it. Prediction markets reward informed insiders. This is a feature of the mechanism. But when the insider is a negotiating party, the inside information is not a market signal. It is a conflict of interest. The 61 percent should be understood against this backdrop. The market is not a neutral reflection of geopolitical reality. It is a contested arena where information, capital, and strategic intent intersect. Section 6 — The Oracle Dependency The settlement engine deserves its own analysis. UMA's Optimistic Oracle is one of the most sophisticated decentralized oracle designs in production. It has settled billions of dollars of financial contracts. Its track record is strong. Its assumptions, however, are specific and limited. The Optimistic Oracle assumes contestability. For every proposed outcome, there exists an economic actor capable and willing to challenge false proposals. This assumption holds when the correct answer is knowable at low cost and when the dispute resolution process is fair. For clean financial events, the assumption holds. The correct answer is public. Any participant can verify it. Challenges are cheap. Disputes are rare. For geopolitical events, the assumption strains. The correct answer is not public. It is not verifiable. It is a matter of interpretation. The cost of determining the true outcome is high. The dispute process invokes UMA token holders, a community with its own biases, incentives, and knowledge limitations. The resolution is not impartial. It is a stakeholder judgment. Let me walk through possible settlement scenarios. Scenario A: Hamas announces a unilateral cease-fire but retains weapons. The contract says "disarmament." Does this count? Probably not. But a proposer might argue that "disarmament" should be interpreted as "end of armed conflict." The ambiguity is the attack surface. Scenario B: Hamas hands over a symbolic quantity of weapons. The Israeli government disputes the claim. Whom does the oracle trust? The proposer is a market participant with a financial stake in the outcome. The challenger is a participant with the opposite stake. UMA token holders vote. The outcome is political. Scenario C: The conflict escalates. The question becomes moot. The market resolves as NO. But was the resolution timely? Was the timeline respected? The ambiguity is not resolved by the oracle. It is resolved by whoever controls the narrative most effectively. Security is not a feature; it is the architecture. The architecture of this settlement has a structural weakness. It treats an ambiguous political outcome as a binary, verifiable state. That weakness is not fixable with better code. It is fixable only with better specification. And better specification requires a definition of "disarmament" that the parties themselves cannot agree upon. My own work in formal verification has taught me this lesson repeatedly. A contract whose semantic content is ambiguous is a contract whose execution can be gamed. The fix is not in the compiler. The fix is in the specification language. For geopolitical events, the specification language does not exist. Section 7 — Competitive Landscape and Regulatory Crosscurrents Polymarket's market position is dominant but not moated. Its competitors are diverse. PredictIt operates under a no-action relief from the CFTC and focuses on academic and political markets. It is compliant but limited. Its user experience is dated. Its market access is capped. Kalshi is a CFTC-regulated exchange. It is growing. Its compliance status is an institutional advantage. But its user base is smaller, and its product range is constrained by regulatory approval. Augur is the fully on-chain alternative. It is decentralized, but it is also slow, clunky, and nearly illiquid. Azuro focuses on sports prediction on Gnosis Chain. It is a different product category entirely. Polymarket's edge is user experience and liquidity depth. Its exposure is regulatory. In 2022, the CFTC settled with Polymarket. The platform paid a 1.4 million dollar fine and agreed to restrict U.S. users. In 2024, Polymarket re-entered the U.S. market. The regulatory status remains a gray zone. The CFTC has been actively pursuing rulemaking on event contracts. Political event contracts are in the crosshairs. The commission has argued that such contracts implicate the public interest and raise gambling concerns. The 2024 election cycle accelerated this scrutiny. A final rule banning political event contracts is a live possibility. If the CFTC issues such a rule, Polymarket's U.S. user base would be severed. Since U.S. users provide a significant portion of liquidity, the effect would be immediate: thinner markets, wider spreads, and diminished signal quality. The Hamas contract would survive. Its informational value would decline. There is also a sanctions dimension. Hamas is a designated terrorist organization under U.S. law. A market trading on Hamas's future behavior raises OFAC compliance questions. Prediction market participants may, directly or indirectly, provide financial facility to a sanctioned entity. The market itself is not financing Hamas. But the optics are challenging, and the legal exposure is real. Polymarket's partial KYC procedures compound the risk. Without robust identity verification and sanctions screening, the platform exposes itself to enforcement action. The geopolitical category is precisely where such enforcement is most likely. The platform's defense is the public interest argument. Prediction markets generate socially valuable information. The argument has merit. Prices aggregate knowledge. Public discourse benefits from better-calibrated probabilities. But the argument is conditional on market integrity. A manipulated market does not provide public value. It provides private value to the manipulator at the public's expense. Compiling truth from the noise of the blockchain requires a standard of evidence. The standard is not "the number exists." The standard is "the number is robust to manipulation and bias." By that standard, the 61 percent is an unaudited number. Section 8 — What the Market Is Actually Pricing Let me attempt a deeper decomposition of the 61 percent signal. A single scalar price conceals a complex set of assumptions. What is the market really pricing? The event E, "Hamas disarmament by year-end," decomposes into sub-events. E1: the Trump peace framework remains live through year-end. The deal does not collapse. E2: Israeli military pressure sustains or increases. E3: Hamas leadership chooses, or is compelled by circumstances, to disarm. E4: "disarmament" passes a verifiable threshold acceptable to the oracle and the market. Each sub-event carries its own probability. The market price is a composite of these probabilities, correlated through political dynamics. The correlation structure is unobservable. Traders operate on intuition and heuristics rather than explicit sub-probabilities. The 61 percent is an aggregate of heterogeneous beliefs. It is intellectually honest in that it emerges from real trading. It is epistemically fragile because its internal structure is not observable in the data. Now consider what is not in the price. The market does not price the probability of a single military escalation event unless traders incorporate it. It does not price the probability of a change in Israeli leadership unless traders are aware. It prices what the participants know, weighted by capital. The composition of the trader cohort matters. If the cohort is dominated by crypto-native gamblers with little geopolitical expertise, the 61 percent reflects sentiment more than analysis. If the cohort includes professional geopolitical analysts, the price reflects deeper information. We do not know which cohort is dominant. The pseudonymous nature of the blockchain conceals the expertise profile of the participants. My experience with algorithmic stablecoin failure analysis, during the Terra-Luna collapse, taught me a lasting lesson. Aggregate signals can be dangerously misleading. The collapsed UST peg appeared stable in aggregate metrics while risk was accumulating in hidden correlations. The same pattern can apply here. The 61 percent is an aggregate. The risk is in the hidden correlation structure. Section 9 — The Diplomatic Feedback Loop Here the story becomes genuinely consequential. The market does not merely observe geopolitics. It participates in them. This is the blockchain diplomacy angle. A prediction market offers real-time, transparent, global pricing of political outcomes. The pricing becomes a public reference point. Media cite it. Analysts quote it. Negotiators see it. The market enters the diplomatic process as an actor. The feedback loop is simple: market price shapes public narrative. Public narrative shapes negotiating postures. Negotiating postures shape outcome probabilities. Outcome probabilities shape the market price. Each iteration adjusts the number. The market becomes a self-referential system. Consider the implications for Hamas. Its leadership sees 61 percent. The number suggests that international observers expect disarmament by year-end. The expectation alters Hamas's strategic calculation. It may accelerate engagement with the peace process to meet the market's expectation. Or it may accelerate resistance to prove the expectation wrong. Either way, the market is an input to the decision. Consider the implications for Israel. Israeli decision-makers see 61 percent. The number suggests that the market expects a successful disarmament outcome. This may embolden a continuation of current policies. It may also create pressure to demonstrate progress before year-end. Consider the implications for the peace deal's sponsor. The deal is a political initiative. The market's 61 percent is a scorecard. A high probability validates the initiative. A falling probability erodes it. The market becomes part of the political incentive structure. This is the most important insight of this article. The market is not neutral. It is an active interface. It shifts the parameters of the very events it claims to predict. The blockchain's contribution to diplomacy is not a neutral observation platform. It is an information intervention. My own 2026 work on AI-agent-driven transactions drove this lesson home. In designing formal verification protocols for autonomous DeFi transactions, I had to account for the fact that the protocol itself changes the behavior of the agents interacting with it. The interface is a causal channel. The same principle applies here. The prediction market interface is a causal channel between information and diplomatic reality. Section 10 — Technical Standards for a Trustworthy Geopolitical Market Let me propose a standard for what a geopolitical prediction market must achieve to be genuinely trustworthy. Condition one: deep liquidity floor. A market of global significance should hold at least ten million dollars in committed open interest. Below this threshold, the price signal is subject to manipulation by a single actor. The Hamas market is nowhere near this threshold. Condition two: participant diversity. The market should have transparent evidence of participant diversity across geography, ideology, and information access. A monopoly of participants from a single political or demographic profile biases the price. Condition three: transparent order flow. All orders, including the identity patterns of large traders, should be publicly accessible. Researchers and journalists should be able to reconstruct the price path and attribute it to specific trading behavior. Condition four: oracle redundancy. Settlement should not depend on a single optimistic oracle. Multiple independent oracles, using different verification methods, should triangulate the outcome. Cross-validation makes the settlement system more robust to manipulation. Condition five: statistical auditability. The platform should publish not just the current price but the conviction-weighted volume, confidence intervals, and historical calibration of comparable markets. This is what I did when auditing AMM slippage bounds. It should be the standard, not the exception. None of these standards are met by the current Hamas market. That does not make the 61 percent worthless. It makes it preliminary. It is a hypothesis in search of validation, not a theorem. The path forward is clear. Either the industry adopts standards of market integrity, or the mainstream credibility of prediction markets will be revoked after the first highly visible failure. Section 11 — Bitcoin, Layer2 Fragmentation, and the Larger Lesson Let me step back and connect this event to the broader crypto landscape. The Bitcoin trajectory is a cautionary tale. Post-ETF, Bitcoin has become an institutional asset. The peer-to-peer electronic cash vision is historically dead. The technology is neutral. The institutional capture is total. What remains is a settlement layer for the traditional financial system, not a revolution. Polymarket represents a different blockchain promise. Not money. Information. The value proposition is not escaping financial intermediaries. It is escaping informational intermediaries. The bet is that distributed consensus can price reality more honestly than centralized institutions. This is a compelling bet. But it inherits the same structural flaw as the Bitcoin vision. The infrastructure is neutral. The participants are not. Information markets only work if information flows are diverse. Crypto markets are dominated by a narrow demographic profile. The information asymmetry is real and persistent. The Layer2 fragmentation problem is also relevant. Dozens of Layer2 networks exist, each with its own technical stack, security assumptions, and community. The dispersion of liquidity is not scaling. It is slicing. Polymarket's decision to remain on Polygon concentrates liquidity but also concentrates dependence. If Polygon suffers a network incident, the Hamas market freezes. Settlement is delayed. The signal becomes stale. The stack, including chain security, oracle, custody, and front end, forms a single chain of failure points. The market's resilience is only as strong as its weakest layer. Optimizing for clarity, not just gas efficiency, is my design principle. Clarity means settlement redundancies. Clarity means cross-chain observability. Clarity means transparent market creation and resolution rules. Polymarket has partially delivered. The architecture remains a hybrid with a centralized front end and a single-chain dependency. Section 12 — The Regulatory Endgame Let me think through the regulatory scenarios. Scenario one: CFTC rulemaking succeeds. Political event contracts are banned or heavily restricted. Polymarket blocks U.S. participants. Liquidity drops. The geopolitical market becomes thinner. The 61 percent becomes even less reliable. This scenario has a moderate probability and high impact. Scenario two: CFTC rulemaking is delayed or blocked. Polymarket operates in the gray zone for another cycle. The platform continues to attract media coverage. Geopolitical markets continue to grow. This scenario also has moderate probability. Scenario three: a sanctions enforcement action is triggered. The Hamas market draws scrutiny. OFAC examines whether participants are providing support to a sanctioned organization. If the action occurs, the impact is severe. Not just market restriction but legal exposure for participants. This is the tail risk. Low probability. High severity. Any rational compliance officer would flag this market as a red flag. Scenario four: Polymarket preempts regulation by self-imposing stricter KYC and market-restriction rules. The platform becomes more compliant, sacrifices some participation, and stabilizes its long-term position. This is the pragmatic path. The strategic uncertainty is real. The market does not know which scenario will materialize. The 61 percent conditions on the current regulatory regime. If the regime changes, the 61 percent becomes a historical artifact. The lesson from Terra-Luna is that systems fail when their design cannot survive the feedback loop between confidence and capital flows. Prediction markets face a parallel risk. Their credibility depends on the integrity of outcomes. Their integrity is tested by the very attention that grows them. Contrarian — The Blind Spot The conventional reading of this story is bullish. Blockchain prediction markets are becoming credible global information infrastructure. The contrarian reading is sharper. The 61 percent is a fragile artifact of a thin market, a contested specification, and a regulatory gray zone. The media's willingness to cite Polymarket as an authority has outrun the platform's technical and regulatory maturity. The platform is not a poll. It is a trading venue. Its participants are not representative. Its oracle is optimistic. Its regulation is unresolved. Each of these facts is knowable. Each is underweighted in the coverage. This is not an argument against prediction markets. It is an argument for epistemic humility. The blockchain has given us a new instrument for pricing reality. The instrument is young, uncalibrated, and vulnerable. The biggest blind spot is the feedback loop. The market does not just measure. It shapes. The 61 percent has become part of the diplomatic narrative it claims to observe. This is the observer effect in action. The measurement is an intervention. The intervention changes the measured system. I expect a correcting event. Not a singular hack, but a gradual process of disillusionment. A highly visible prediction will fail. Either the oracle misreads the outcome, or the market is manipulated, or the probability is simply wrong. When that happens, the mainstream credibility of prediction markets will be repriced. The platform's dominance, built on media attention, will be tested. The signal to watch is the trajectory, not the level. If 61 percent decays toward 40 percent within a month, the market is telling us something about execution risk. If it surges above 75 percent, the market is pricing diplomatic momentum. The trend matters. The static number is noise. Takeaway The 61 percent is an invitation. It invites us to inspect the machinery behind the number. The AMM curves. The optimistic oracle. The regulatory gray zone. The diplomatic feedback loop. Do not ask whether the market is right. Ask what the market is. Ask who participates in it. Ask what it does to the world by merely existing. Prediction markets will play a greater role in global affairs, not because they are more accurate, but because they are more transparent than the alternatives. That transparency is both a strength and a vulnerability. The invariant will hold. The market will continue to price. The question is whether the price will mean anything. I am watching the trajectory. Sixty-one percent, then what? The market will tell us. The oracle will settle. The logic will judge.