In January 2024, the U.S. Department of Justice stood in a federal courtroom and accused Google of paying $26.3 billion a year to be the default search engine on iPhones, Android devices, and web browsers. Not $26.3 million. Billion. That single payment - roughly $72 million per day - bought Google a pipeline to 90% of all search queries worldwide. The judge's ruling in August found that Google had maintained an illegal monopoly in general search. One company, one product category, one locked gate that competitors could not pry open no matter how good their technology was.
That case is a textbook in miniature. It contains every element that defines monopoly and oligopoly: barriers to entry so steep they function as walls, pricing power that extracts surplus from both advertisers and users, network effects that compound advantage, and strategic behavior designed to foreclose rivals before they reach scale. These are not abstract curiosities from a 1950s economics seminar. They shape what you pay for insulin, how fast your internet runs, whether a local coffee roaster can survive next to a chain, and how much leverage you have when negotiating your salary.
$26.3B — Annual payments Google made for default search status - the sum at the center of the DOJ's landmark monopoly case (2024)
Monopoly vs. Oligopoly: Drawing the Line
A monopoly is a market with one seller offering a product that has no close substitutes. That seller faces the entire demand curve alone and picks the output level where marginal revenue equals marginal cost, then charges the highest price the demand curve supports at that quantity. Output lands below the competitive level. Price lands above marginal cost. Consumers lose surplus. The firm collects extra profit. And a gap opens that economists call deadweight loss - trades that would have created value at competitive prices simply never happen.
An oligopoly is a market dominated by a small handful of sellers who watch each other constantly. Every output decision, every price move, every product launch ripples across the group. Strategy replaces price-taking. The outcome hinges on whether firms compete on quantities or prices, whether products are interchangeable or differentiated, and whether one firm leads while the rest follow. Because decisions are interdependent, a single rule change can shift the entire equilibrium.
Sellers: One firm, no close rivals
Price control: Sets price by choosing output on the demand curve
Entry barriers: Extremely high (patents, network effects, natural cost advantages)
Strategic interaction: None - no rivals to react to
Real examples: De Beers diamonds (historic), local water utilities, Google Search (90%+ share)
Sellers: A few dominant firms (typically 2-8)
Price control: Significant, but constrained by rivals' reactions
Entry barriers: High (capital requirements, brand loyalty, economies of scale)
Strategic interaction: Central - every move triggers countermoves
Real examples: U.S. wireless carriers (3 firms hold 98%), Boeing/Airbus, Big Four accounting
Here is the part that trips people up: neither structure requires illegal behavior to generate harm. The structure itself can produce prices above marginal cost, fewer choices, and slower innovation even when every executive follows the law to the letter. That is precisely why competition policy examines structure and behavior simultaneously.
Measuring Concentration: The Numbers That Trigger Investigations
Regulators do not rely on gut feelings. They use quantitative tools to spot market power, and two metrics dominate the conversation.
The concentration ratio (CR4 or CR8) adds the market shares of the top four or eight firms. Quick and intuitive, but it ignores the distribution among those firms. A CR4 of 80% could mean four firms at 20% each or one giant at 65% plus three bit players.
The Herfindahl-Hirschman Index (HHI) fixes that blind spot by squaring each firm's market share and summing the results. Squaring gives heavier weight to larger firms. The U.S. Department of Justice considers an HHI below 1,500 to be unconcentrated, 1,500 to 2,500 moderately concentrated, and above 2,500 highly concentrated. A merger that pushes HHI above 2,500 and increases it by more than 200 points triggers a presumption of competitive harm.
Where is the market share of firm expressed as a whole number (e.g., 30 for 30%). A pure monopoly scores 10,000.
On the pricing side, the Lerner Index captures market power more directly: . A perfectly competitive firm earns L = 0 because price equals marginal cost. A monopolist with serious pricing power might register L = 0.5 or higher. The catch? Marginal cost is notoriously difficult to observe from the outside, which is why concentration metrics often serve as the first screen and the Lerner Index enters the picture during deeper investigations.
These numbers are screening tools, not verdicts. High concentration paired with wide price-cost margins and towering entry barriers? That combination warrants scrutiny. High concentration in a market where imports or digital alternatives can flood in quickly? Less alarming. Context does the heavy lifting.
Where Monopoly Power Comes From
Monopoly rarely materializes from thin air. The roots are structural, and understanding them tells you which monopolies are fragile and which will outlast regulatory cycles.
Economies of Scale and Natural Monopoly
Economies of scale can be so overpowering that one producer supplies the entire market at lower average cost than two or more producers could. That is a natural monopoly. Local water distribution fits the pattern perfectly: the fixed cost of laying pipe networks is enormous, and duplicating them is pure waste. High-voltage electricity transmission, rail tracks, and fiber-optic last-mile connections follow the same logic.
Left unregulated, a natural monopolist would charge far above cost. The policy toolkit here includes franchise auctions (let firms compete to become the monopolist on the best terms), price caps, and revenue rules designed to mimic the discipline that competitors would otherwise provide.
Network Effects
Network effects create a different kind of moat. A product becomes more valuable as more people use it. WhatsApp with 2 billion users is more useful than a technically superior messaging app with 2,000 users. Payment networks, social platforms, and online marketplaces all exhibit this dynamic. The first firm to reach critical mass can tip the entire market because latecomers face a brutal chicken-and-egg problem: users will not join without other users. Interoperability mandates and data portability rules are the policy levers designed to weaken this lock-in.
Control of Essential Inputs
When one company controls the only viable lithium mine, owns a patent essential to a manufacturing process, or holds exclusive rights to a critical dataset, rivals hit a wall. Intellectual property law exists to reward discovery, but it simultaneously grants legal exclusivity for a defined period. The tension between rewarding inventors and ensuring public access sits at the center of fierce policy debates in pharmaceuticals, technology, and media. Consider that Humira, the world's best-selling drug, earned AbbVie over $200 billion in revenue before biosimilar competition finally arrived in 2023 - twenty years after approval.
Switching Costs and Lock-in
Even when alternatives exist, customers may stay put if switching involves termination fees, relearning proprietary software, migrating years of data trapped in closed formats, or forfeiting loyalty rewards. Some friction is legitimate service design. Excessive friction becomes a competitive moat. Apple's ecosystem illustrates the spectrum: iMessage, AirDrop, iCloud, and tight hardware integration create genuine value for users, but they also make leaving the ecosystem feel like moving to another country.
How Monopolists Set Prices and Why Output Falls Short
The monopolist's decision unfolds in three steps. First, read the demand curve and derive marginal revenue, which falls faster than demand because lowering the price to sell one more unit also cuts revenue on every unit already being sold at the old price. Second, choose the quantity where marginal revenue equals marginal cost. Third, charge the price consumers are willing to pay at that quantity, as read off the demand curve.
The result: price above marginal cost, output below the socially efficient level, and a deadweight loss triangle that represents transactions both buyers and sellers would have happily made under competition but that the monopolist kills to protect its margins.
Real firms layer tactics on top of this base model. Price discrimination charges different buyers different prices based on willingness to pay. First-degree discrimination aims to charge each buyer their exact reservation price - rare and information-intensive, but approximated by modern algorithmic pricing. Second-degree discrimination deploys menus and quantity discounts to let buyers self-sort (think economy vs. business class). Third-degree discrimination sets different prices across identifiable segments: student tickets, senior discounts, regional pricing for software subscriptions. When done thoughtfully, discrimination can actually raise total output by serving price-sensitive buyers who would otherwise be priced out. When done extractively, it becomes a tool to vacuum up consumer surplus while barricading the gates against entry.
Natural Monopoly Regulation: Simulating Rivalry
When duplication is wasteful - water pipes, rail tracks, electricity grids - the question becomes: how do you replicate competition's benefits inside a monopoly structure? Three models dominate.
Rate-of-return regulation lets the firm recover costs plus a fair return on invested capital. The risk is gold-plating: if profits are a function of capital deployed, managers overbuild because a bigger asset base means bigger allowed profit. Price-cap regulation (RPI-X in the UK model) sets a ceiling that adjusts by inflation minus an expected efficiency factor. The firm keeps savings during the regulatory period, creating real incentives to cut waste. Access regimes require the network owner to sell wholesale access on published, non-discriminatory terms, opening downstream competition even when the upstream asset is a natural monopoly. Telecommunications unbundling in the early 2000s followed this model.
Ramsey pricing allows regulators to set higher markups on products with less elastic demand and lower markups where demand is elastic, covering fixed costs with minimum allocative distortion. Elegant in theory, but it requires granular cost data and politically insulated regulators - two things that rarely coexist in practice.
Oligopoly Models: How a Few Firms Play the Game
Monopoly is conceptually clean. One firm, one demand curve, one profit-maximizing choice. Oligopoly is messier and more interesting because every firm's best move depends on what rivals do. Three foundational models capture the range of possibilities.
Cournot: Competing on Quantities
In the Cournot model, each firm independently chooses how much to produce, taking rivals' output as given. Price then adjusts to clear the market. Each firm has a best response function mapping rivals' output to its own optimal quantity. The Cournot equilibrium sits where all best responses intersect simultaneously.
The punchline: total output exceeds monopoly levels but falls short of perfect competition. Price is lower than monopoly but higher than marginal cost. And as the number of firms increases, the outcome converges toward the competitive result. This model fits industries where capacity is committed before prices are set - bulk chemicals, cement, steel, and semiconductor fabrication all share that characteristic.
Bertrand: The Price War Surprise
Now flip the competitive variable from quantity to price. In the Bertrand model, two firms selling identical products and able to scale output freely will undercut each other until price crashes all the way to marginal cost. Two firms. Competitive pricing. Zero economic profit.
That result is jarringly sharp, and it explains why real-world oligopolists work so hard to avoid pure price wars. Product differentiation, capacity constraints, service bundling, loyalty programs - all of these are, at their core, strategies to escape the Bertrand trap. Where products are nearly identical and switching costs are trivial, prices are brutally hard to hold above cost. Where differentiation creates even mild customer loyalty, firms reclaim some breathing room.
Stackelberg: The First-Mover Advantage
What happens when one firm moves first? The Stackelberg model answers that question. The leader commits to an output level, and followers optimize around the leader's decision. Because the leader accounts for follower reactions when choosing its output, it can stake out a position that maximizes its own profit at followers' expense.
The result typically favors the leader with higher profit than in Cournot because the leader reshapes the competitive playing field before anyone else arrives. You see this pattern in industries where one player controls a critical input, holds a clear capacity advantage, or simply moves faster. Saudi Arabia's role in global oil markets through OPEC+ is a real-world Stackelberg dynamic: Saudi Aramco adjusts production, and other producers react.
For a duopoly with identical firms facing the same demand curve: Cournot output sits between monopoly and competitive levels. Bertrand output (with identical products) matches the competitive level. Stackelberg total output exceeds Cournot because the leader produces more aggressively. The model you choose depends on which variable - quantity or price - firms commit to first, and whether one firm has a credible first-mover position.
Collusion, Cartels, and Why Repeated Play Changes Everything
Oligopolists face a persistent temptation. If all firms raise prices together, they collectively earn monopoly profits. But each individual firm has an incentive to cheat - secretly cutting prices to steal market share while rivals hold firm. That tension between collective interest and individual temptation is the central drama of oligopoly.
Explicit collusion through cartels resolves the tension by agreement. Firms divide markets, fix prices, or rig bids. It is illegal in virtually every major jurisdiction because it raises prices and restricts output with zero offsetting benefit to consumers. The game theory behind cartels explains their fragility: each member gains from cheating, and the more members the cartel has, the harder coordination becomes.
The Lysine Cartel (1992-1995). Archer Daniels Midland (ADM) and four other companies secretly fixed the global price of lysine, an amino acid used in animal feed. They met in hotel rooms across three continents, assigned sales quotas, and monitored compliance through shared spreadsheets. Lysine prices jumped from roughly $0.70 per pound to $1.05 - a 50% increase. The FBI recorded meetings on hidden cameras. ADM paid a $100 million fine. Three executives went to prison. The cartel collapsed the moment the first participant cooperated with investigators, illustrating exactly why leniency programs work.
Leniency programs are the most powerful tool against cartels. The first firm that confesses and provides evidence receives immunity or dramatically reduced penalties. This breaks the trust that holds cartels together because every member knows that every other member has an incentive to race to the regulator's door. The European Commission's leniency program has uncovered cartels in industries ranging from vitamins to car parts to foreign exchange trading.
Tacit coordination is subtler and harder to police. Firms do not sign agreements - they simply watch and match. An airline raises fares on a route Monday morning. By Monday afternoon, every competitor has matched. No phone call needed. If the market is transparent, products are similar, and the game repeats indefinitely, a trigger strategy can sustain high prices: deviate and everyone punishes by dropping prices next period. Tacit coordination breaks when demand becomes volatile, when a disruptive entrant refuses to play the game, or when regulators create buyer-side transparency that undermines sellers' signaling.
Product Differentiation: Escaping the Price War
Most real oligopolies sell products that differ somewhat. Coca-Cola and Pepsi. iPhone and Galaxy. Delta and United. That differentiation gives each firm a small island of pricing power over loyal customers while still facing the threat of defection if the price wanders too far from delivered value.
The math maps directly onto cross-price elasticity. Where cross-elasticity is high (your customers easily switch to rivals), even a small price increase triggers a stampede. Where cross-elasticity is low (customers are sticky due to brand loyalty, habit, or ecosystem lock-in), firms can sustain wider markups. Marketing, design, after-sales support, and ecosystem integration all work to lower cross-elasticity and keep users in orbit. Smartphone manufacturers invest billions in cameras, chips, and app ecosystems not purely for technical reasons but because deeper differentiation insulates them from the Bertrand guillotine.
Vertical Control: Market Power Along the Supply Chain
Market power does not only flow horizontally among rivals. It runs vertically through supply chains. Exclusive dealing prevents retailers from carrying competitors' products. Most-favored-nation clauses force suppliers to match the lowest price offered anywhere, paradoxically locking in higher prices by removing the incentive to discount. Resale price maintenance sets a floor on retail prices. Loyalty rebates that activate when a buyer concentrates purchases with one seller can foreclose rivals who need even a small foothold.
Competition agencies judge these practices by effects, not form. Some exclusive deals help smaller brands secure shelf space they could not otherwise afford. Others entrench dominance. The line runs through market share data, availability of alternative channels, and the duration of contractual lockups.
Mergers, Remedies, and the Regulator's Toolkit
Horizontal mergers reduce the number of rivals. When the merging parties are close competitors, the combined entity can raise prices more freely because the strongest competitive constraint just disappeared. Agencies examine concentration changes (using HHI), closeness of competition (measured through diversion ratios and bidding data), and the likelihood that new entry would counteract harm quickly enough to protect consumers.
Remedies fall into two buckets. Structural remedies require the merged firm to divest business units to an independent buyer, essentially recreating a competitor. They are clean but demand a capable buyer willing to invest. Behavioral remedies impose conduct rules - access commitments, pricing constraints, information firewalls - and require ongoing monitoring that can erode over time. Regulators generally prefer structural fixes because they are self-executing: once the divestiture closes, the competitive constraint exists independently of anyone's promise to behave.
Vertical mergers combine a supplier with its customer. The risk is input foreclosure (raising rivals' costs by restricting access to a critical input) or customer foreclosure (steering demand away from rival suppliers). The potential benefit is eliminating double marginalization - when both the upstream and downstream firm add markups, the combined price is higher than if a single integrated firm set the price. Agencies ask whether the merged firm has both the ability and the incentive to foreclose, and whether the harm to competition outweighs the efficiency gains.
Platforms, Two-Sided Markets, and the Zero-Price Puzzle
Many of the most concentrated modern markets involve platforms that connect two distinct groups. Google connects searchers and advertisers. Uber connects riders and drivers. Amazon connects buyers and sellers. Pricing on one side directly affects participation on the other, and a platform can rationally charge zero - or even subsidize - one side while extracting revenue from the other.
Traditional price-cost tests stumble here. A price of $0 on the user side looks like predation under the old framework, but it may be the profit-maximizing strategy when the real revenue comes from advertisers who pay per click. The right analytical lens evaluates the entire platform ecosystem: does the conduct reduce total surplus by raising barriers to multi-homing, preventing rivals from reaching viable scale, or locking data behind proprietary walls without user consent or portability?
The takeaway: Data access, default status, and switching costs are the new channels of monopoly power in platform markets. If your contact lists, purchase history, and content library are trapped inside a single ecosystem, you are the product and the barrier to entry simultaneously. Policy is moving toward data portability rights, interoperability mandates, and fair-dealing rules for platforms that sit at critical digital gateways.
Innovation and the Schumpeter Question
Joseph Schumpeter argued in 1942 that large firms with market power actually drive innovation because they can fund risky, long-horizon research that smaller firms cannot afford. The counterargument, rooted in Kenneth Arrow's 1962 work, holds that monopolists have less incentive to innovate because they are already earning comfortable profits and any breakthrough would partly cannibalize their existing revenue stream. A challenger, by contrast, has everything to gain.
Who is right? Both, depending on context. The pharmaceutical industry shows concentrated firms spending heavily on R&D (Roche invested $16.1 billion in 2023) while also acquiring innovative startups to absorb potential disruptors. The tech sector shows a pattern where dominant platforms buy hundreds of small competitors - Meta acquired 91 companies between 2007 and 2023 - prompting regulators to ask whether those acquisitions fueled innovation or quietly strangled it.
The healthiest design gives firms enough market power to earn a return on research while maintaining enough contestability through open standards, interoperability requirements, and procurement practices that reward genuine innovation. Neither pure monopoly nor atomistic competition optimizes for dynamic efficiency. The sweet spot is somewhere in between, and finding it requires case-by-case judgment rather than blanket ideology.
Labor Markets Under Market Power: Monopsony
Market power does not only show up in product prices. It shows up in wages. When a region has few employers in a given field, or when job switching faces barriers like non-compete clauses and occupational licensing, employers can pay less than the marginal revenue product of labor without losing their entire workforce. That is monopsony - the labor-side mirror of monopoly.
The numbers are not trivial. A 2022 Treasury Department report estimated that lack of labor market competition suppresses wages by roughly 20% for workers in highly concentrated local job markets. Non-compete agreements alone cover an estimated 18% of American workers, including fast-food employees and warehouse staff who have little access to trade secrets worth protecting. The Federal Trade Commission's 2024 rule banning most non-competes (currently facing legal challenges) reflects a growing recognition that monopsony power deserves the same scrutiny that product-market monopoly receives.
Policies that expand job reach through better transit infrastructure, limit abusive restrictive covenants, mandate pay transparency, and crack down on wage-fixing agreements between employers can push wages closer to their competitive level. Just as price-fixing is illegal on the product side, wage-fixing and no-poach agreements draw enforcement on the labor side - and the DOJ has begun bringing criminal charges in such cases since 2020.
The Pricing Playbook Inside Concentrated Markets
Firms with market power deploy a diverse set of pricing tools that go well beyond the textbook "set MR = MC" story.
Peak-load pricing charges more during high-demand periods to ration scarce capacity. Airlines, ride-sharing apps, and electricity providers all use this to spread demand across time. Uber's surge pricing multiplier has hit 9.9x during extreme demand spikes - a vivid demonstration of dynamic pricing power. Versioning creates product tiers to skim willingness to pay (Adobe's $22.99/month Photography plan vs. the $59.99/month All Apps plan). Geographic pricing aligns with regional purchasing power - a Netflix subscription costs $6.99 in India and $22.99 in the United States for the same content library. Student and senior discounts expand output by serving more price-elastic segments that would otherwise be priced out entirely.
The line between smart pricing and abusive conduct is contextual. If the pricing structure matches cost conditions, spreads demand efficiently, and expands access to buyers who would otherwise go unserved, regulators generally view it favorably. If the aim is to box out competitors, punish switching, or exploit captive customers with no alternatives, scrutiny intensifies.
Bringing New Entrants Into Walled-Off Markets
If concentration is the disease, entry is the cure - or at least the immune system. But entry into concentrated markets requires more than a good product. It requires overcoming barriers that incumbents have spent years (and billions) constructing.
Policy can lower those barriers without destroying the value that scale creates. Streamlined licensing reduces bureaucratic friction. Mandated access to essential facilities on published, non-discriminatory terms lets entrants compete downstream without duplicating expensive infrastructure upstream. Procurement rules that require interoperability prevent government contracts from locking entire sectors into a single vendor's ecosystem. And standardized data portability lets users carry their history, contacts, and content to competing platforms without starting from scratch.
Where scale economies are genuinely large, policy can encourage competition for the market rather than competition in the market. Franchise auctions with performance bonds and clawback provisions create fierce rivalry at the bidding stage and accountability after the contract is awarded. Sunset clauses ensure periodic re-auction. This model borrows the discipline of competitive markets without forcing wasteful infrastructure duplication.
For digital sectors specifically, enabling third-party access through standardized APIs, enforcing the right to data portability (enshrined in the EU's GDPR and the proposed American Data Privacy and Protection Act), and banning dark patterns that trick users into staying put all increase contestability. The goal is not to punish success. The goal is to keep the door open so the next success can walk through it.
Case Studies: Theory Meets Reality
The UK Water Price Cap That Shifted Power to Consumers
When England and Wales privatized their water utilities in 1989, the government replaced rate-of-return oversight with an RPI-X price cap system. The cap reset every five years after audits and public hearings. Utilities kept efficiency gains during each period but had to meet service quality targets monitored by Ofwat, the sector regulator. Within the first decade, operating costs fell by approximately 30%, leakage rates declined, and real water bills stabilized after years of above-inflation increases. The system was not perfect - some companies were later criticized for excessive shareholder returns and underinvestment in infrastructure - but the core mechanism demonstrated that well-designed regulation can replicate competitive pressure in natural monopoly settings.
The Lysine Cartel and the Power of Leniency
The lysine price-fixing conspiracy (1992-1995) involved ADM, Ajinomoto, and three other producers who collectively controlled over 95% of the North American market. When a cooperating witness inside ADM allowed the FBI to record cartel meetings, the evidence was devastating: executives on camera allocating quotas, setting prices, and joking about screwing their customers. The case produced $105 million in criminal fines and prison sentences for three ADM executives. More significantly, it validated the leniency model. Post-case, the number of cartel leniency applications to the DOJ surged, demonstrating that a credible exit ramp for insiders is the most effective cartel-busting tool ever devised.
The EU's Digital Markets Act: Regulating Platform Gatekeepers
The European Union's Digital Markets Act (DMA), which took full effect in March 2024, designates platforms meeting specific thresholds (over 45 million monthly end users and 10,000 annual business users in the EU, plus market capitalization above 75 billion euros) as "gatekeepers." Designated firms - including Apple, Google, Meta, Amazon, Microsoft, and ByteDance - must allow sideloading of apps, provide data portability, refrain from self-preferencing in search rankings, and enable interoperability of messaging services. The DMA represents a structural approach to platform regulation: rather than proving harm case by case, it imposes obligations on firms whose scale creates inherent risks of competitive distortion. Early compliance has been uneven, with the European Commission opening proceedings against Apple and Meta within months of the deadline.
Practical Toolkit for Students and Early Professionals
If you are analyzing a market - for a class assignment, a job interview, or an investment decision - run through these checkpoints systematically.
Define the market carefully. If products are close substitutes and switching costs are negligible, the market is broader and apparent concentration overstates actual power. If switching costs are steep and interoperability is poor, the market is narrower and power is real.
Measure barriers. Are there massive fixed costs, exclusive contracts, control over essential inputs, or regulatory moats? The height of entry barriers determines whether concentration is durable or vulnerable to disruption.
Read pricing patterns. Price discrimination, two-part tariffs, bundling, and loyalty rebates all signal market power. But the key question is whether those practices expand output and access or primarily extract surplus and foreclose rivals.
Evaluate mergers by asking the right question. Not "is this merger big?" but "would a credible new entrant appear quickly and at sufficient scale to replace the lost competition?" If the answer is no, the merger likely harms consumers regardless of the efficiency claims stapled to the filing.
In platform markets, test for lock-in. Can users multi-home easily? Is data portable? Are defaults sticky because they are good or because switching is deliberately painful? The answers tell you whether the platform's dominance reflects genuine value creation or manufactured captivity.
On the policy side, prefer structural fixes where possible. Demand verifiable, merger-specific efficiency evidence before accepting "but we'll be more efficient" as justification for eliminating a rival. Track labor markets with the same seriousness as product markets, because employer power upstream and pricing power downstream both erode living standards through different channels.
Monopoly and oligopoly are not relics of the Gilded Age. They are the defining feature of sector after sector in the modern economy - from search engines and social media to healthcare and defense contracting. The firms change. The technology evolves. But the underlying economics remain remarkably stable: when competitive pressure weakens, prices rise, output falls, innovation bends toward protecting incumbents, and the gains from economic activity flow disproportionately to those who already hold power. Understanding these structures is not optional background knowledge. It is the operating manual for reading the economy as it actually works, not as textbooks wish it did.