Summary

  • ARIN's waiting list distributes IPv4 space that becomes available after ordinary free-pool exhaustion, while specified-recipient transfers move space from an existing holder to a qualified buyer. The supply sources differ, but applicant decisions connect the channels.
  • The connection is written into current rules. Receipt of any amount through the waiting list or an 8.3 or 8.4 transfer removes an organisation from the list; listed organisations face holdings and request-size limits; accepted waiting-list space carries a 60-month transfer restriction; and fulfilment affects when another request may be made.
  • A queue position has option value because it preserves a chance of receiving addresses without paying the seller's scarcity price. That option can delay purchases, change the smallest acceptable block, concentrate market demand among urgent buyers and create a price threshold at which waiting becomes preferable.
  • The market also governs the real distributional outcome. Applicants with capital can buy when delay becomes expensive. Applicants without capital remain exposed to uncertain recovered supply, block-size matching and the risk that their operational deadline arrives before their turn can be served.
  • Queue order alone therefore cannot establish fairness. Assessment must include eligibility, time, applicant resources, block quality, forgone deployment, market quotes, purchases, withdrawals, affiliate control and the eventual use or transfer of distributed space.
  • No complete public applicant-to-market panel links waiting-list entry, approved and minimum acceptable size, transfer pre-approval, quotes, purchase, withdrawal, fulfilment and later use. This article does not invent a price effect, savings figure, completion probability or beneficiary profile that the available evidence cannot support.
  • A defensible system would publish privacy-preserving state transitions and jointly review residual distributions and market rules. Number Resource Society can advocate portable and auditable evidence without becoming a queue administrator, registrar or market-price setter.

Two doors do not make two systems

An operator short of IPv4 addresses can stand in line or go shopping. The first route offers the chance of receiving a small block from ARIN's residual inventory. The second requires finding a willing holder, agreeing commercial terms and completing a specified-recipient transfer. One route begins with a queue ticket; the other begins with a counterparty. One exposes the applicant mainly to uncertain time; the other converts much of that uncertainty into a purchase price.

It is tempting to compare the waiting list with other waiting lists and the transfer market with other markets. That is administratively neat and economically wrong. The operator has one shortage and a set of substitutes. It chooses between waiting, buying, leasing, using upstream space, sharing addresses more intensively, delaying a service, changing architecture or abandoning the deployment. The relative cost of each option determines the choice.

The waiting list affects the transfer market whenever an eligible operator postpones a purchase because a queue position remains plausible. It affects the market when a smaller applicant accepts a less convenient block rather than pays a seller. It affects brokers when expected residual distributions reduce near-term demand in a size band. It affects sellers when a policy change makes more applicants eligible, reduces the maximum distribution or changes the resale restriction.

The transfer market affects the waiting list whenever an urgent applicant buys and leaves. It affects who remains visible in the queue: not a random sample of unmet need, but the organisations whose deadlines, capital constraints and expectations have not yet pushed them into another channel. It affects the meaning of waiting time because the applicant with a viable purchase option experiences delay differently from the applicant that cannot finance market acquisition.

The two routes also meet in policy. Current ARIN guidance states that receipt of IPv4 space in any amount through the waiting list, an 8.3 transfer or an 8.4 transfer removes the organisation from the waiting list. A listed organisation is therefore not simply waiting for one supply stream while independently using another. Crossing one threshold changes status in the other.

That is a coupled allocation system. Its rules can still distinguish residual inventory from holder-supplied inventory. Indeed, they should. But the effects must be assessed together because applicants already do so.

Residual inventory is scarce supply, not a revived free pool

ARIN's ordinary IPv4 free pool depleted in September 2015. Addresses can nevertheless return to available inventory. Current public guidance says waiting-list requests are filled as addresses become available, typically through revocations for non-payment. ARIN also identifies returns, revocations, distributions from IANA and other availability as possible sources in its broader IPv4 guidance.

This supply is residual in two senses. It is not a predictable production stream, and it does not recreate the old allocation environment. Blocks arrive irregularly, in particular sizes, with particular histories. The queue cannot issue a /22 merely because the oldest applicant is approved for one if the available inventory consists of pieces that do not satisfy the request's acceptable range. ARIN explicitly warns that chronological display is not the actual order of fulfilment; order depends on the order, size and quantity of blocks received.

The applicant chooses a maximum approved size through the qualification process and specifies the smallest block it is willing to accept. That minimum is an economic decision. A /24 may support only part of a planned deployment. Accepting it can solve an immediate problem, complicate aggregation, or leave the operator needing another source. Refusing an offered block is not costless: current guidance says ARIN considers the request fulfilled and removes it from the list.

Calling this space “free” therefore obscures both charges and risk. Registration service fees can apply. The operator spends staff time qualifying and maintaining good standing. It bears an uncertain wait, uncertain block size, uncertain block history and an inability to transfer the distributed space through ordinary specified-recipient routes for 60 months. The relevant contrast is not zero cost against market cost. It is administrative-price, uncertain-time supply against negotiated-price, counterparty supply.

Residual supply can still carry a large economic subsidy relative to a seller's scarcity price. That difference is the source of the coupling. If the administrative route and market route cost the same, there would be little reason to preserve a queue option. When they differ, access to the residual channel affects behaviour before any block is issued.

The list should therefore be understood as a rationing mechanism for irregular, discounted inventory. Its fairness cannot be inferred from the word “waiting.” The system rations by eligibility, chronology, available shape, minimum acceptance, organisational endurance and the ability to postpone a market purchase.

The current rules already encode the market relationship

ARIN's public waiting-list guidance sets a maximum holdings condition: organisations holding more than a /20 equivalent in aggregate, excluding specified special-use space, are not eligible to apply. The maximum aggregate for which an organisation may qualify at one time is a /22. Only one waiting-list request may be open. Applicants can lower the smallest acceptable size, but increasing the maximum requires closing the existing request and submitting a new one at the newly approved position.

These conditions control entry and option size. They aim to keep residual distributions available to smaller holders and prevent one request from absorbing a disproportionate amount. The policy's modern form also reflects a real abuse history. In 2019, ARIN suspended part of the list after identifying sizeable fraudulent requests. The response introduced tighter holdings, maximum-distribution and transfer-lock conditions before issuance resumed. Fraud prevention is not imaginary here.

Yet an anti-fraud origin does not make the channel independent of the market. A /22 maximum defines how much discounted supply a successful applicant can expect from this route. The holdings ceiling determines which firms may retain the option. The one-request rule shapes corporate strategy. The five-year transfer restriction changes the liquidity and value of the address space received.

Most importantly, transfer activity changes list status. Receipt through a specified-recipient transfer removes the organisation. ARIN's current transfer guidance also says an organisation on the waiting list that submits a request to be the source of a transfer under section 8 will be removed. These are explicit anti-cycling boundaries between the channels.

The 90-day interval after a waiting-list distribution before applying for additional space creates another link. The organisation may still face unmet demand after accepting a smaller block. During that interval, its alternatives include a market purchase, upstream space, leasing or delay. The queue outcome therefore can create market demand rather than end it.

The 60-month transfer restriction is equally important. It protects discounted inventory from immediate monetisation and reduces the attraction of applying solely to resell. It also prevents ordinary market exit if the recipient's business fails, architecture changes or demand disappears. An 8.2 corporate transaction remains an exception, but ordinary liquidity is constrained.

Each rule may have a defensible purpose. The analytical error is to score them only inside the queue. Together they define the conversion rate between waiting status and market participation.

A queue position is an option with an uncertain exercise date

An applicant on the waiting list holds no guaranteed address block. It holds a conditional chance. The chance depends on remaining eligible, being reachable, staying current on fees, accepting a compatible block and waiting until residual inventory can serve the request. That resembles an option, although it is not a tradable financial contract and should not be treated as one in legal or accounting terms.

The economic analogy is useful because it identifies behaviour. The option becomes more valuable when market prices rise, when the applicant's deadline is distant, when a small block is sufficient and when the applicant believes residual supply will arrive. It becomes less valuable when delay threatens revenue, the minimum useful deployment is large, financing is available, or market prices fall.

An operator can hold the option while collecting quotes. It can seek transfer pre-approval without having selected a seller, compare offers and decide whether the expected cost of waiting exceeds the market premium. Public records do not reveal how often this happens, but the institutional design permits the decision and rational applicants would consider it.

The option is also asymmetric. A well-capitalised applicant can abandon waiting and buy. It loses the queue position but gains timing certainty. A cash-constrained applicant cannot necessarily make the same choice. Its queue position may be valuable precisely because there is no affordable exit. Two organisations added on the same day therefore do not hold the same practical opportunity.

The option can influence the smallest acceptable block. Suppose a /24 would cover an immediate service but a /22 would better support planned growth. An applicant expecting high market prices may lower its minimum and accept fragmentation. Another may keep a larger minimum because operating several small blocks would cost more than waiting. ARIN's public table exposes maximum and minimum prefix fields, but not the business trade-off behind them.

There is a further selection effect. Applicants whose deadlines become urgent leave for the market, if they can. Those that remain longest may be unusually patient, unusually constrained, repeatedly unmatched by available block sizes or simply optimistic about eventual service. Average waiting time among survivors cannot be read as the delay that all original applicants were willing to bear.

This option value belongs in policy analysis. Changing the maximum, transfer lock, holdings threshold or distribution cadence changes not only who receives space; it changes what every listed applicant does in the market while waiting.

The waiting list can suppress, postpone and segment market demand

Residual distributions need not be large relative to the entire IPv4 economy to affect particular market segments. The waiting list is capped at relatively small request sizes. Its strongest direct influence is therefore likely to fall on smaller acquisitions and on organisations for which a /24, /23 or /22 can materially change deployment. That is a hypothesis, not a measured price result.

When an eligible applicant waits, near-term demand is postponed. A seller or facilitator does not see that applicant as an active buyer, even though the need exists. If a distribution date passes without a match, or a project deadline approaches, the latent buyer can enter suddenly. This can make observed demand appear more volatile than underlying operational need.

The channel may segment buyers by urgency. Operators with signed customer commitments, expiring leases or immediate growth can pay the market premium. Operators planning a later expansion can preserve the queue option. The market price observed among completed transfers then reflects the urgent and financeable subset, not all organisations that need addresses.

It may also segment by block shape. An applicant willing to accept a /24 can remain in the residual channel while a buyer requiring a contiguous /20 cannot qualify for that amount and must use the market or another arrangement. Prices by prefix size can therefore reflect both routing economics and public-channel eligibility.

Residual distributions can create follow-on demand. A successful applicant may receive less than its maximum but enough to be removed. It then has a smaller unmet requirement, perhaps one that is awkward to fill with a contiguous block. The outcome can reduce total demand while increasing demand for a specific size or timing.

The five-year transfer restriction creates a separate segment of inventory. Waiting-list space cannot circulate through ordinary transfers during the lock. A block that becomes surplus remains outside normal supply. That protects against rapid resale but also reduces market liquidity. The relevant evaluation must count both fraudulent monetisation deterred and legitimate surplus prevented from reaching another user.

None of these mechanisms proves that the waiting list raises or lowers an average market price. A modest residual channel might have little aggregate effect while strongly influencing a narrow size band. Sellers may anticipate it, brokers may route around it, and applicants may value block reputation or speed more than price. Without linked observations, direction and magnitude remain open.

The proper claim is narrower and stronger: the waiting list changes the demand curve that the market observes. A market analysis that omits listed and former applicants is missing a policy-created outside option.

The market sorts the queue by capital and deadline

The secondary market does more than offer an alternative. It removes particular applicants from the queue according to their capacity and urgency. That changes the distributional meaning of everyone who remains.

An operator with cash, credit or investor support can convert uncertain time into a known purchase cost. A smaller community network, start-up or regional provider may not. Even if both have equivalent technical need, only one can escape delay. First-approved ordering inside the list does not neutralise that difference.

Deadline matters independently of wealth. A profitable firm may wait if its project is exploratory. A less wealthy firm may buy at great strain because a customer launch cannot move. The price paid then contains an urgency premium caused partly by the uncertain residual channel. Fairness analysis should ask whose operations bear that premium.

Information and repeated experience matter too. A repeat buyer can obtain pre-approval, engage a qualified facilitator, inspect block history and structure settlement. A first-time applicant may not know when to stop waiting or how long a transfer will take. The public existence of two routes does not create equal capacity to navigate them.

The ability to use substitutes also differs. A hosting provider may lease addresses temporarily. An access network may intensify address sharing, with performance and logging consequences. An enterprise may use provider-assigned space and accept renumbering risk. A security service may require stable addresses that make those substitutes poor. The queue's burden depends on what each applicant can do without directly held space.

When the best-resourced or most urgent applicants depart, the remaining list can look deceptively equitable. It may contain many smaller organisations, but that composition is partly produced by market sorting. Counting successful residual recipients says nothing about the applicants forced to buy, lease, delay or abandon plans before their turn.

This is why a “who got the returned blocks?” report is incomplete. The larger distributional question is “who obtained usable IPv4 capacity, through which channel, at what combined cost, after how much delay, and who did not?” The market is part of the answer even when ARIN never sees the commercial price.

First-approved is not first-served when blocks must fit

Queue language creates an image of a single line moving one person at a time. ARIN's actual guidance is more careful. Requests appear chronologically, but fulfilment depends on the sizes and quantities of addresses returned to inventory and on the applicant's acceptable range. This is a matching process as well as a sequence.

If the oldest request cannot use an available block, a later compatible request may be served. That can be entirely reasonable: leaving a block idle helps no one. But fairness then depends on the matching rule, the applicant's minimum choice and the composition of returned inventory, not chronology alone.

An applicant can lower its minimum acceptable size while waiting. This provides flexibility, but it can reward those able to operate fragmented or smaller space. An organisation whose service genuinely requires more addresses cannot mimic that flexibility without changing the project. The queue therefore favours certain technical architectures when supply is fragmented.

Declining an offered block closes the request as fulfilled. That rule prevents indefinite reservation and repeated refusal. It also makes the minimum field consequential. Applicants must forecast whether a smaller block will still be useful months or years later. A mistake can end the option or leave the operator with a block that no longer matches its needs.

Block history adds another dimension. Returned and revoked space can carry stale reputation, geolocation or routing records. ARIN has publicly warned external parties not to treat previous inferences about blocks released through waiting-list distributions as current. A listed applicant may face remediation that a buyer could consider when selecting among market blocks. Prefix count alone does not equal usable value.

The system should therefore report offers and acceptances by size and condition, not merely total addresses distributed. It should show how often older requests were bypassed for lack of fit, how often applicants changed their minimum, how often offers were declined and whether recipients encountered documented remediation. No commercial identity needs to be exposed.

Such reporting would not make every outcome equal. It would make the matching mechanism visible. A queue that depends on shape should be evaluated like a matching market, not a deli counter.

The five-year lock is part of both fairness and price

The 60-month transfer restriction is the clearest bridge between residual allocation and secondary supply. It tells a successful applicant that the administrative-price block cannot soon become ordinary market inventory. This protects the channel's purpose. It also changes the asset's practical value.

Without a lock, the gap between administrative and market prices could attract applications motivated by resale. Even genuine applicants whose circumstances changed immediately could capture a windfall. The 2019 fraud experience supports serious safeguards around identity, beneficial control and actual operational use.

A long lock, however, is a blunt instrument. It does not distinguish a shell applicant from a network that loses a major customer in year two. It does not distinguish speculative resale from insolvency, service closure or a migration that makes the block surplus. Section 8.2 treatment may address qualifying corporate changes, but not every legitimate exit.

The lock affects the market before any resale. A rational applicant discounts the flexibility of the residual block. A lender may not treat it like transferable inventory. A buyer planning a corporate reorganisation may prefer market space with a different history. An operator may keep leasing while waiting if accepting locked space would complicate a near-term transaction.

The policy also withholds surplus supply. If a recipient stops using a waiting-list block but does not return it, the market cannot reallocate it through an ordinary transfer until the period ends. Encouraging return may help, but return gives up the scarcity value entirely. The incentives are not symmetric.

Fairness therefore has two horizons. At distribution, the lock deters applicants seeking a quick windfall and protects later candidates. After distribution, it may trap addresses with a recipient that no longer has the strongest use. A complete review should measure both.

The review should ask how many locked blocks remain routed by the recipient, how many are returned, how many move through an 8.2 event, how many appear unused, and how many are transferred when the lock expires. It should not infer motive from routing alone. It should combine registry history with recipient confirmation and publish only aggregates.

If evidence shows that most attempted early exits are abusive, the lock has a strong case. If evidence shows legitimate business changes dominate after a shorter period, objective exceptions may be better. The present public record does not support either confident conclusion.

Fairness has at least six dimensions

The first dimension is eligibility. The holdings threshold, exclusions and one-request rule decide who may obtain the discounted option. Beneficial control matters because account count is not the same as independent economic actor. Enforcement should identify related control without treating every affiliate structure as evasion.

The second is sequence. Approval date matters, but so do resets caused by changing the maximum, loss of good standing and resubmission. A fair chronology requires clear rules for when a position is preserved or lost, and reasons that can be reviewed.

The third is fit. Available block size and the applicant's minimum determine whether chronology can produce service. Applicants with flexible architecture may advance faster than those with indivisible need. Reporting should reveal that effect.

The fourth is time. Months spent waiting impose different costs depending on deadlines and alternatives. Median wait among fulfilled requests omits those who leave, remain censored or never apply because expected delay is unacceptable.

The fifth is money. Market purchase, facilitator, escrow, legal review, renumbering, leasing and delayed revenue all belong in the cost comparison. Administrative-price recipients also pay fees and remediation costs. Fairness cannot be reduced to who paid a seller.

The sixth is outcome. Did the applicant deploy the space, buy elsewhere, lease, abandon the project or receive a block that soon became surplus? A distribution can be procedurally correct yet fail to improve operational access. A market purchase can be expensive yet avert a much larger loss.

These dimensions can conflict. A strict holdings ceiling can broaden entry while excluding an established small provider with a new project. A lower maximum can serve more organisations while forcing each to fragment or buy a complement. A long lock can protect initial fairness while reducing later allocative efficiency.

There is no single fairness score that resolves these choices. There can be a public account of incidence. The institution should state which fairness objective each rule serves, identify who bears the offsetting burden and publish evidence sufficient to revisit the balance.

The missing applicant-to-market panel is the decisive limitation

ARIN publishes useful pieces. The waiting-list page exposes request position, entry time, maximum approved prefix and minimum acceptable prefix through its status display. Distribution notices identify batches of blocks and fulfilled requests. The transfer log records completed transfers. Policy pages identify eligibility and state changes.

What is missing is a common observational unit linking one applicant's journey across channels. Public data do not show whether a listed organisation sought transfer pre-approval, received market quotes, bought through a related organisation, leased space, lowered its minimum, delayed a project, withdrew, declined an offer or remained because purchase was unaffordable.

Commercial data are incomplete in the opposite direction. A facilitator may see quotes and completed deals but not every waiting-list position or rejected application. Price reports cover selected transactions and may exclude direct deals. Sellers do not know which inactive prospects are waiting. Buyers may have confidentiality obligations.

Without linkage, several attractive claims cannot be proved. We cannot state how much the waiting list reduces market prices. We cannot state that it raises prices by withholding locked inventory. We cannot calculate the share of applicants who buy before fulfilment. We cannot identify an average subsidy net of delay and remediation. We cannot say whether small operators benefit more than sophisticated corporate groups.

Aggregate time series would not solve the problem. Market prices and waiting-list activity move alongside cloud demand, macroeconomic conditions, block quality, routing practices, IPv6 deployment, corporate sales and changes in broker coverage. A correlation around a quarterly distribution would not identify causation.

The absence should change the conclusion, not end the inquiry. The correct output is a study design, confidence bounds and explicit unknowns. Assertions about applicant behaviour should remain hypotheses until linked evidence exists.

This limitation is especially important because policy rhetoric can fill an empty denominator. Supporters may count recipients and call the list equitable. Critics may point to scarcity prices and call it futile. Both can be wrong if they ignore applicants who switch channels, remain stuck or never enter.

Build one privacy-preserving state-transition study

The basic unit should be a pseudonymous beneficially controlled applicant. The record begins when an organisation requests waiting-list qualification or transfer pre-approval. Related accounts can be linked under confidential audit without publishing ownership.

The state fields should include eligibility decision, approved maximum, minimum acceptable size, queue entry, changes to the minimum, loss or restoration of good standing, each compatible offer, acceptance, decline, residual distribution, transfer pre-approval, specified-recipient transfer, source-transfer request, withdrawal and expiry. Dates allow survival analysis without inventing completion for open cases.

The commercial extension should be voluntary and independently governed. Applicants can report verified quote ranges, block sizes, expected closing time, facilitator involvement, financing constraint, lease alternatives and the reason for choosing or rejecting a purchase. Exact counterparties and prices need not be public. A trusted auditor can release size bands and price indices only where enough observations protect confidentiality.

Outcome fields should follow the organisation for a defined period: deployment, routing status, complement purchased, lease used, project delayed, project cancelled, return, corporate transfer and ordinary transfer after the lock. Routing evidence should corroborate, not define, use.

The analysis should compare cohorts entering under the same rules. Relevant outcomes include time to any usable supply, probability of each channel, total quantity obtained, combined cash cost, number of prefixes, time to deployment and unmet quantity. Results should be split by applicant size, network type, request band and deadline without exposing identity.

Policy changes can create useful comparisons, but they are not clean experiments. The 2019 redesign, later proposals to reduce maximum size, changes in distribution cadence and fee changes can alter behaviour. Researchers should pre-declare windows, account for market conditions and show sensitivity rather than select a convenient before-and-after result.

Attrition must remain visible. Applicants removed after a transfer, those declining an offer, those closing a ticket to seek a larger maximum and those still waiting are not statistical debris. They are the mechanism through which the two channels interact.

The public output should be a transition matrix and ranges, not a list of companies. Accountability requires incidence; it does not require exposing commercial negotiations.

Price analysis needs a counterfactual, not a before-and-after chart

To estimate a market effect, the study must ask what a comparable applicant would have paid or done without the residual option. That counterfactual is difficult because eligibility is not random. The holdings ceiling selects smaller resource holders, and operational urgency affects both waiting and buying.

One approach is matched cohorts. Compare applicants with similar holdings, network type, approved need, entry date, geography, deadline and block-size preference where one remains eligible and another narrowly misses a rule threshold. Even then, unobserved financing and management quality may differ.

Another approach uses changes in policy that alter option value for defined groups. If a maximum changes prospectively, compare newly affected applicants with older protected requests and with market buyers in neighbouring size bands. Market-wide price movement must be controlled. Anticipation before implementation must be shown.

Distribution events can test short-run responses only if quote and inquiry data are available. Did active small-block demand fall after compatible offers were announced? Did unsuccessful applicants enter the market after a distribution? Public transfer completion dates occur too late and reflect processing delay, so inquiries and accepted offers would be more informative.

The outcome should not be a single global “waiting-list discount.” Effects may differ by /24, /23 and /22; by clean and remediation-heavy blocks; by urgent and patient buyers; and by period. A credible result may be a broad range or no detectable effect.

Cost comparisons must include time. A discounted block arriving after a lost customer can be more expensive than a market purchase. Conversely, a patient applicant can preserve capital for network equipment. Net present cost is useful, but assumptions about the value of delay should be published as scenarios rather than treated as observed fact.

The study should also test inventory effects. Blocks under the 60-month restriction are absent from ordinary transfer supply. Estimating how many would otherwise have sold requires evidence of surplus intent, not merely an absence of routing. Surveys and post-lock transfers can provide bounds.

If the data remain too sparse, the honest finding is non-identification. Governance improves when institutions can distinguish a rule they believe in from an effect they have measured.

Joint metrics would change policy debate

The first joint metric is time to usable IPv4 supply from the earliest formal request, regardless of channel. This prevents a transfer from disappearing merely because it ended a waiting-list case. It also keeps unresolved applicants in the denominator.

The second is channel outcome: residual distribution, domestic transfer, inter-RIR transfer, lease, upstream assignment, withdrawal, refusal, expired project or still unmet. The institution need not endorse every arrangement to count it.

The third is quantity fit. Report requested maximum, minimum acceptable, amount received, complement acquired elsewhere and prefix count. A thousand addresses delivered in inconvenient fragments are not identical to one aggregate of the same size.

The fourth is combined cost. Use ranges for seller price, administrative fees, facilitation, escrow, remediation, temporary leasing and delay. Do not publish contract-level data. Show which costs fall on applicants and which fund registry services.

The fifth is distributional incidence. Split results by pre-existing holdings, applicant type, first-time status, broad revenue or employee band where voluntarily verified, and urban or remote service context where relevant. A policy said to support smaller entrants should demonstrate that outcome.

The sixth is integrity. Publish identity anomalies, related-control consolidation, false applications, reversals, disputes and post-distribution transfer attempts in aggregate. This protects the legitimate anti-fraud case from being used as an unmeasured universal explanation.

The seventh is block condition. Record prior routing, documented reputation remediation and time until operational use. Residual supply with a difficult history may carry a hidden recipient cost.

The eighth is liquidity after distribution. Track returns, qualifying corporate changes, apparent dormancy with caveats and transfers after the 60-month period. This tests whether the lock preserves use or strands supply.

No one metric declares the system fair. Together they reveal the exchange: broader access purchased with delay, anti-fraud control purchased with liquidity, and administrative-price supply purchased with uncertainty.

Reform should preserve the distinction in supply while joining accountability

Residual inventory and secondary transfers should not use identical rules. ARIN supplies the former from addresses that become available to it; an existing holder supplies the latter. A cap and transfer lock can be more defensible for discounted residual space because another applicant bears the opportunity cost and immediate resale can defeat the channel's purpose.

The market should not be treated as an extension of the queue. A buyer using holder-supplied space should not be subjected to every distributive condition designed for residual inventory. Identity, authority, uniqueness, dispute status and accurate registration are common safeguards. Rationing and anti-windfall restrictions are channel-specific.

Accountability, however, must be joined. Any change to waiting-list eligibility should assess market entry and price exposure. Any change to transfer qualification or fees should assess queue retention and applicant exits. A five-year lock review should consider both fraud deterrence and secondary supply. A maximum-size review should consider fragmentation and follow-on purchases.

Applicants should receive a clear comparison at entry: known policy conditions, recent distribution cadence without a promised date, transfer alternatives, fee categories, the consequence of receiving any amount, the effect of declining and the transfer restriction on distributed space. Information cannot remove scarcity, but it can reduce avoidable asymmetry.

Independent review should cover eligibility, related-control findings, sequence loss and fulfilment classification. Review must be fast enough to preserve a real distribution or purchase decision. Aggregate reversals should be published.

Rules should carry scheduled evidence reviews. The question is not whether fraud once occurred. It is whether current identity controls, holdings limits, maximum size and a 60-month lock remain the least burdensome combination. Different safeguards can expire at different times.

Most importantly, ARIN should publish the combined denominator it can observe and invite audited voluntary evidence for the commercial portion it cannot. Institutional modesty is better than a false claim that the list ends at its own boundary.

Number Resource Society can make the alternatives legible through research

Number Resource Society can support a thinner evidence vocabulary for applicant and resource state. NRS is not the Number Resource Organization, ARIN or another RIR and cannot attest authoritative beneficial control, eligibility, transfer history, locks or custody changes. ARIN and the relevant registries should publish those facts in portable formats; NRS can analyse them alongside consented member evidence for comparative research.

It can also host privacy-preserving outcome studies across registry services. An organisation could authorise an auditor to link a waiting state with a later transfer without revealing the company or contract. Common definitions would make time, size and outcome comparable.

NRS should not set the IPv4 market price, allocate residual ARIN inventory, authenticate registry state or guarantee that a waiting applicant receives space. Its purpose is to campaign for truthful, portable state while leaving commercial choice with operators and residual-inventory policy and record execution with ARIN.

Portability matters because a queue position should not become dependence on one opaque record. Applicants need an exportable record of approval, submitted evidence and status. Transfer buyers need a verifiable resource history. Auditors need stable identifiers that do not expose identity publicly.

The design should separate the common ledger from policy choices. Common facts include who is authorised, what resource is involved, whether a lock exists and whether another recognised claim conflicts. Local choices include holdings thresholds, discounted distribution caps and review periods. Thin common facts allow comparison without forcing every region into one rationing rule.

NRS must remain accountable as an advocacy source. Its datasets, methods and member mandates should be open to correction and withdrawal. Authoritative attestations, independent audits and registry service exit belong to the institutions that operate the queue and transfer systems.

Used this way, NRS does not solve scarcity or operate either channel. It helps solve the information and representation problem that lets institutions discuss two connected channels as if they were unrelated.

One system deserves one account of winners, costs and unknowns

ARIN's waiting list serves a real purpose after free-pool exhaustion. It gives eligible smaller holders a chance to receive irregular returned space without paying the full scarcity price to a seller. Its modern restrictions respond to documented abuse risk. Those facts deserve weight.

The secondary market serves a different real purpose. It moves holder-supplied addresses to operators that can identify a counterparty and bear the price. It provides timing and quantity that residual inventory cannot promise. It also sorts access by capital, information and deadline.

Neither channel can be evaluated in isolation. Waiting changes demand, reservation prices, purchase timing and acceptable block size. Transfers remove applicants, reveal the cost of delay and change who remains. Transfer locks withhold supply. Market purchases can rescue deployments or impose a burden that only some applicants can carry.

The public evidence establishes these mechanisms and policy links. It does not establish their magnitude. There is no complete panel connecting each applicant to quotes, purchases, leases, withdrawals, projects and later use. Any precise claim about the waiting list's price effect or beneficiary distribution would outrun the record.

That uncertainty is itself a governance finding. An institution cannot make a persuasive fairness claim by showing only chronological positions and successful distributions when the paid exit channel determines much of the outcome. Nor can a market critic dismiss residual access without measuring the applicants for whom it preserves capital and enables service.

The remedy is not a single blended mechanism. Keep the supply distinction: stronger anti-windfall conditions can attach to discounted residual inventory, while holder-supplied transfers require their own narrow record safeguards. Join the evidence: one state-transition account, one affected-applicant denominator and one review of cost, delay, integrity and operational result.

The decisive fairness question is not who stood first in ARIN's visible line. It is who obtained usable addresses, who paid, who waited, who left, who could not leave, what block they received and what happened to the service they were trying to build. Until those outcomes are observed together, the waiting list and the secondary market will remain one system governed through two incomplete stories.

Sources