Tag: optimism bias

  • One missing number

    Many Benefits, One Missing Number

    ALTO’s benefits page, set against independent estimates for the corridor — and against the cost figure it never states.

    ALTO HSR Citizen Research Initiative · Economic Brief · Published July 2026 · ALTO consultation closed April 24, 2026
    ⚠ What the page does not say

    ALTO’s “Discover Alto’s Many Benefits” page presents at least nine distinct benefit figures — GDP, jobs, tourism, road decongestion, emissions avoided, and annual ridership. It states no capital cost, no operating subsidy, and no benefit-cost ratio anywhere on the page. ALTO benefits page

    Every figure on the page is a numerator. The one number that would let a reader judge whether the benefits are worth the spending — the cost of the project — appears nowhere on it.

    Critical Finding

    The page is built on a single asymmetry: benefits are presented gross, and the cost side is absent. Restore the denominator and the picture inverts. On ALTO’s own official $60–90 billion cost the benefit-cost ratio is only about 0.1; on the Initiative’s higher independent estimate, about 0.06 — against roughly 0.44 for the lower-speed HPPR alternative. Whichever cost figure you use, the benefits recover a dime or less on the dollar, far short of the 1.0 a project needs to break even; the page asks readers to evaluate the project on numerator alone.

    On the page’s own headline figures, the ridership claim of up to 24 million passengers by 2055 is roughly 2.6 times the Initiative’s central estimate, and the sustainability claim inverts under full-lifecycle carbon accounting: the Initiative finds ALTO a net emitter of about 15 million tonnes CO₂e over fifty years, while HPPR is a net carbon sink.

    This is the standard presentation pattern of optimism bias documented in megaproject appraisal: gross benefits foregrounded, costs and risks kept off the page, and ceiling figures — “up to” — offered as though they were expectations.

    The Frame

    Benefits gross, cost absent

    The GDP line is the clearest instance. The page reports a 1.1 per cent increase in Canada’s GDP, valued at $24.5 billion “in today’s value” — a figure discounted to the present without disclosing the capital sum it is being discounted against. The Initiative’s ECI/CFI cost model puts ALTO at approximately $143 million per kilometre central; over a corridor of roughly one thousand kilometres, the capital envelope is an order of magnitude larger than any single benefit line quoted on the page. The HPPR spine, by contrast, is modelled at roughly $28–40 million per kilometre. ALTO’s own official figure, stated elsewhere, is $60–90 billion for the corridor; the conclusion here does not turn on whose estimate you take, since even on that lower number the benefit-cost ratio is only about 0.1, and on the Initiative’s estimate about 0.06.

    Presented this way, the benefits cannot be wrong — only incomplete. A gross benefit is a real quantity; it simply says nothing about whether the project earns it back. That judgement requires the two numbers the page withholds: the cost, and the ridership assumption most of the other benefits depend on.

    Comparison

    The page’s claims against the corridor’s numbers

    Each row sets a figure as ALTO states it beside the corresponding finding from the Initiative’s modelling.

    ALTO’s ClaimThe Initiative’s Finding
    Ridership. Up to 24 million passengers annually by 2055. The Initiative’s central estimate is approximately 9.2 million in 2055, rising to about 12.5 million by 2080 — roughly 2.6 times lower than the page’s figure. “Up to” marks a ceiling, not an expectation, and the figure coincides exactly with the page’s own 2041 corridor population of 24 million, inviting readers to conflate people in the corridor with trips captured.
    Emissions. 100% electric — the equivalent of removing about 100,000 cars from the road each year. “100% electric” describes operational emissions only. Counted over its full lifecycle — the embodied carbon of a 300+ km/h greenfield build, against a ridership that is itself overstated — the Initiative finds ALTO a net emitter of roughly +15 Mt CO₂e over fifty years. The lower-speed HPPR alternative, built largely on existing alignment, is a net carbon sink.
    Economic impact. 1.1% increase in Canada’s GDP ($24.5 billion in today’s value). A gross benefit stated with no cost and no netting, discounted to present value without disclosing the capital figure behind it. Set against the Initiative’s cost model, the corresponding benefit-cost ratio is approximately 0.06.
    Jobs. Over 50,000 during construction; a further 5,000 once operational. Construction employment is a project input — a cost — not a benefit. Counting it on the benefit ledger is double-counting, among the most reliably flagged errors in megaproject business cases. The 5,000 operational jobs are a genuine recurring effect; the 50,000 construction jobs are not a benefit at all.
    Road decongestion. Valued at $570 million. The figure scales directly off ridership. If the 24 million capture is roughly 2.6 times high, the decongestion benefit is proportionally overstated. Induced demand refilling freed road capacity is not addressed.
    Tourism. Approximately $800 million in revenue each year. A gross figure with no displacement netting — spending that would have occurred anyway, or shifted from elsewhere in the corridor, is not removed.
    Travel times. Toronto–Montréal ~3h; Ottawa–Montréal ~1h; Montréal–Québec City ~1h30. These times are the payoff of the 300+ km/h greenfield alignment that drives both the ~$143M/km cost and the community disruption the page does not mention. HPPR achieves competitive times at 180–240 km/h for a fraction of the cost.
    Cost of the project. Stated nowhere on the page. ALTO’s own official range, given elsewhere, is $60–90 billion; the Initiative’s independent estimate is higher, at roughly $143 million per kilometre. This is the number against which every benefit above would have to be weighed — and the one the benefits page omits.
    Three Inversions

    Where the page’s strongest claims turn over

    The sustainability claim inverts under lifecycle accounting

    The page’s environmental case rests on ALTO being “100% electric.” That describes how the trains are powered, not what building the line costs in carbon. A 300+ km/h greenfield corridor — concrete, steel, tunnelling, geofoam, land conversion — carries a large embodied-carbon debt that operational electricity does not offset, particularly once the offset is recomputed against realistic rather than headline ridership. The Initiative’s finding is a net carbon deficit of roughly +15 Mt CO₂e over fifty years, while the lower-speed HPPR alternative is a net sink. The single most quotable line on the page — sustainability — is the one the accounting reverses.

    “Up to 24 million” is a ceiling offered as an expectation

    The headline ridership number does the persuasive work of the page, and “up to” is doing the work inside it. The Initiative’s central estimate is about 9.2 million passengers in 2055. Systematic overstatement of rail ridership at the appraisal stage is one of the best-documented patterns in the megaproject-forecasting literature, and this figure fits it squarely. The Initiative’s brief The Anatomy of an Optimistic Forecast sets out the mechanism in full.

    Construction jobs are counted on the wrong side of the ledger

    The page presents “over 50,000 jobs during construction” as a benefit. In a proper appraisal, construction labour is an input the project pays for — part of its cost, not part of its return. Presenting it as a benefit counts the same money twice. This is standard in the appraisal literature, and it is one of the easier errors for a general reader to check.

    Three Numbers

    What restoring the denominator shows

    2.6×
    the page’s 2055 ridership claim over the Initiative’s central estimate
    Initiative ridership modelling
    +15 Mt
    net CO₂e over fifty years — ALTO as emitter, not saver, on a lifecycle basis
    Initiative lifecycle carbon analysis
    0.06–0.1
    benefit-cost ratio for ALTO — on the Initiative’s estimate and on ALTO’s own $60–90B; both far below 1.0 (HPPR ~0.44)
    Initiative cost & benefit model

    None of these three figures appears on ALTO’s benefits page. Each is derived from the page’s own claims once the cost and the ridership assumption are made explicit.

    Where things stand · July 2026

    Summary ledger

    Against the benefit claims as the page presents them:

    Overstated
    Ridership — “up to 24 million by 2055” is roughly 2.6 times the Initiative’s central estimate of ~9.2 million.
    Contradicted
    Emissions — the “100% electric” sustainability claim reverses to a net +15 Mt CO₂e deficit once lifecycle carbon is counted.
    Omitted
    Benefit-cost ratio — no BCR is stated anywhere; the Initiative’s central case is ~0.06.
    Omitted
    Capital cost — no cost figure appears on the page; central estimate ~$143M/km.
    Miscounted
    Construction jobs — presented as a benefit; they are a cost input, and counting them double-counts.
    Overstated
    Decongestion and tourism — gross figures that scale off the overstated ridership, with no netting for displacement or induced demand.
    Omitted
    Land and community impact — the disruption the 300+ km/h alignment requires is absent from the benefits page entirely.

    The page is titled “Discover Alto’s Many Benefits.” The benefits are real as gross figures; what the page withholds is the cost against which they would have to be set, the ridership assumption most of them depend on, and the lifecycle accounting that reverses its environmental claim. Read with those three restored, the case the page makes for the project is substantially weaker than the case it appears to make.

    Sources

    Documents and analysis

    1.
    ALTO, “Discover Alto’s Many Benefits,” altotrain.ca, page reviewed July 2026. altotrain.ca
    2.
    ALTO, “Fast Forward: Shaping Canada’s Future with a High-Speed Train,” the explanatory document referenced from the benefits page.
    3.
    ALTO HSR Citizen Research Initiative, ridership envelope modelling — central estimates: ALTO ~9.2M (2055) / ~12.5M (2080); HPPR ~8.2M (2055) / ~10.4M (2080).
    4.
    ALTO HSR Citizen Research Initiative, lifecycle carbon analysis — ALTO net +15 Mt CO₂e over fifty years; HPPR net sink.
    5.
    ALTO HSR Citizen Research Initiative, ECI/CFI cost model (ALTO ~$143M/km central; HPPR spine ~$28–40M/km) and benefit-cost analysis (ALTO ~0.06 on the Initiative’s cost and ~0.1 on ALTO’s own $60–90B; HPPR ~0.44).
    6.
    ALTO HSR Citizen Research Initiative, “The Anatomy of an Optimistic Forecast” and “A Straighter Line,” citizenresearch.ca.
    7.
    Bent Flyvbjerg, on optimism bias and reference-class forecasting in the appraisal of major infrastructure projects.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Economic Brief  ·  July 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • The Anatomy of an Optimistic Forecast

    The Anatomy of an Optimistic Forecast — ALTO HSR Citizen Research Initiative

    The Anatomy of an Optimistic Forecast

    Behavioural bias in the ALTO project — a diagnostic reading of the Flyvbjerg framework.

    ALTO HSR Citizen Research Initiative · Working Paper · June 2026 · ALTO consultation closed April 24, 2026
    ● In Plain Language

    Arguments about ALTO tend to happen one number at a time: the project publishes a cost or a ridership figure, critics dispute it, and the debate moves on to the next number. This paper argues that this is the wrong argument to be having.

    Three decades of research by the Oxford scholar Bent Flyvbjerg, drawn from the largest database of major projects ever assembled, shows that the forecasts for big infrastructure projects are not wrong at random. They are wrong in the same direction almost every time: costs come in far higher than promised, and benefits such as ridership come in far lower. On average, rail projects cost about 1.4 times their estimate and carry about two-thirds of the riders forecast.

    That consistency is the clue. An honest mistake would scatter — sometimes too high, sometimes too low. Error that reliably points one way — the way that helps a project win funding — is the signature of something other than honest error.

    The paper is careful about what this does and does not show. It does not accuse anyone of lying. It says plainly that intent cannot be read from the outside, and that a non-partisan initiative should not pretend otherwise. What it asks is simpler: rather than trusting the project’s own bottom-up numbers, check them against what actually happened to comparable projects elsewhere. That check — taking the “outside view” — is the standard corrective the research recommends.

    Both halves of that pattern are already visible in ALTO’s own conduct. In June 2026 the project released two studies attaching large dollar figures to the line’s benefits — one putting the economic gain at around $24 billion a year, the other adding up to roughly $4 billion a year from tourism. Neither weighs those benefits against what the line would cost to build and run. They are the benefit half of the pattern above, arriving on schedule: impressive numbers with the price tag left off the page.

    At the same time, ALTO has — to its credit — done the very thing this paper recommends: it commissioned the outside check. That contract was awarded, without competition, to Oxford Global Projects, the firm founded by Bent Flyvbjerg, to measure the project against the record of thousands of comparable projects worldwide. The question that decides everything is whether ALTO’s published figures were changed to match what that check found, or whether the check was commissioned and then set aside. The single document that would answer it has been requested; ALTO has delayed releasing it until at least September 2026. Until it appears, we cannot know whether the project’s own outside check confirmed its numbers or contradicted them. The simplest way to settle that is for ALTO to publish the comparison in full, for everyone to see — the inside figures and the outside-view figures side by side, unredacted. The outside view was always meant to be seen, not filed away.

    Two things make this urgent for ALTO. It is exactly the kind of project — large, politically sponsored, competing for scarce public money — where the pressure to make the numbers look approvable is highest. And the window to apply the test is closing: once enough money is committed, a project becomes very hard to stop, whatever the evidence later shows. The paper’s single recommendation is to test ALTO’s numbers against the record of similar projects before that point of no return. What should be built instead is left to other work.

    Abstract

    Public debate about ALTO has so far been conducted largely in the currency of individual numbers — a cost estimate here, a ridership projection there — contested one at a time. This paper argues that the more revealing question is not whether any single figure is wrong, but whether ALTO’s figures are wrong in a patterned way, and what that pattern signifies.

    Drawing on Bent Flyvbjerg’s behavioural account of megaproject planning, it treats ALTO’s forecasts as a case to be diagnosed rather than merely audited. The central instrument is Flyvbjerg’s distinction between cognitive bias (innocent optimism) and political bias (deliberate strategic misrepresentation), together with his demonstration that the two are separable by the direction and consistency of forecasting error rather than by any claim about the inner states of forecasters. On that test, the paper sets out why ALTO’s profile places it where the theory predicts strategic distortion will dominate, and why the appropriate response is not the imputation of motive but the substitution of an outside view for the proponent’s inside one. The analysis is diagnostic only; the design of an alternative framework is reserved for other Initiative work.

    Download
    The Anatomy of an Optimistic Forecast — Full Working Paper (PDF)
    The complete diagnostic reading of the Flyvbjerg framework as applied to ALTO, with full citations
    Download PDF
    1 · The Frame

    The wrong argument to be having

    With the public consultation now closed, the contest over ALTO has settled into a familiar shape: the proponent advances a figure, critics advance a rival figure, and the exchange proceeds number by number. This is an argument the proponent is structurally well placed to win, because it concedes the most important point before the first number is spoken — the premise that each estimate is an independent technical product to be checked on its own terms.

    Bent Flyvbjerg’s body of work, accumulated over three decades and the largest project database of its kind, exists to deny exactly that premise. His finding is that the estimates are neither independent nor merely technical: across project types, eras, and continents, they err in the same direction, by large margins, with no improvement over time.

    That regularity changes the nature of the inquiry. If forecasting error were technical noise, it would be scattered — sometimes high, sometimes low — and the right response would be a better model. Because it is instead systematic and directional, the right response is to ask what produces a bias rather than an error. This paper pursues that question for ALTO. It asks what kind of distortion is in play, how an observer could tell one kind from another without reading minds, and what follows for how the project should be appraised. It is a diagnosis, not a verdict on any person, and it stops short of proposing what should be built instead.

    2 · The Distinction

    Two theories of a bad forecast

    Flyvbjerg’s decisive move is to refuse the assumption, common in behavioural economics, that all behavioural distortion reduces to cognition. Cognitive bias, he argues, is only half the story; political bias is the other half. The two halves correspond to two competing explanations of the same observed outcome — costs that come in high and benefits that come in low.

    Optimism bias — the cognitive accountStrategic misrepresentation — the political account
    What it is. A genuine cognitive failing, non-deliberate, in whose grip planners are unaware they are being optimistic. What it is. The deliberate distortion of information to secure a desired end — which, by the definitions Flyvbjerg borrows from the philosophical literature on deception, is plainly lying.
    The kind of defect. A defect of method. The kind of defect. A defect of incentive.
    The cure. Better technique — forcing distributional, outside-view information into the estimate. The cure. Changing what forecasters are rewarded and held accountable for.
    When it dominates. Where stakes and pressure are low — small projects with little top-management attention. When it dominates. Where a minister or chief executive must have a particular project. Optimism remains present, reinforcing rather than absent.

    The distinction is not academic. The two diagnoses share a symptom and an outcome but differ in everything that matters for response. Confuse the two and the prescribed remedy will miss. Flyvbjerg’s now-settled position, reached through a long exchange with Daniel Kahneman, is that real decisions involve both, with the mix shifting along a scale of political-organisational pressure.

    The mechanism he names is brutally simple, and worth stating in its bare form because it is the engine of everything that follows: underestimated costs plus overestimated benefits equals funding. A low cost estimate is more easily approved, and so produces overrun; a high benefit estimate is more easily approved, and so produces shortfall. The bias is therefore not random but functional — it points in the direction that wins the competition for scarce capital. Flyvbjerg has called the resulting practice design by deception, and it is the practice, not the individual, that the framework indicts.

    3 · The Placement

    Where ALTO sits on the scale

    If the balance between innocent optimism and deliberate misrepresentation depends on the degree of political-organisational pressure, then locating a project on that scale is the first analytical task. Flyvbjerg’s Proposition 1 holds that for small projects with low strategic import and little top-management attention, bias, if present, originates mainly in cognition. His Proposition 2 holds that for large projects with high strategic import and ample top-management attention, bias originates mainly in politics — in strategic misrepresentation — though cognitive bias remains present.

    ALTO sits at the upper extreme of every variable in that proposition. It is delivered through a Crown corporation carrying a multi-billion-dollar mandate; it enjoys explicit ministerial sponsorship; and it competes with every other federal priority for a finite pool of capital. By the framework’s own logic, this is precisely the configuration in which strategic misrepresentation should be expected to be the dominant bias, with optimism layered on top.

    This conclusion is worth stating carefully: it is not yet a finding that ALTO’s numbers are distorted. It is a prediction, derived from the project’s structural profile, about where to look and what kind of distortion to expect if distortion is present. The remaining sections test that prediction against the evidence the framework makes available.

    4 · The Unit of Analysis

    Uniqueness, the inside view, and the reference-class problem

    The deepest thread runs through three of Flyvbjerg’s biases that are really one problem under three names: uniqueness bias, the inside view, and base-rate neglect. A jurisdiction that has never built high-speed rail treats the undertaking as unique; uniqueness licenses the “inside view,” in which the estimate is built bottom-up from the specifics of this project; and the inside view licenses ignoring the base rate of comparable projects elsewhere. The promotional framing of ALTO — the first true high-speed rail in Canada, a singular corridor, distinctive Shield geology — is structurally identical to that pattern.

    What the appeal to uniqueness accomplishes is epistemological, and it is the crux of the whole dispute. To call a project unique is to set the size of its reference class to one, and a reference class of one renders the proponent’s bottom-up estimate the only admissible evidence. This is, at bottom, the reference-class problem from the philosophy of probability: any individual case belongs to indefinitely many classes, and the probability one assigns depends entirely on which class is chosen. The proponent wants the operative class to be “this project.” The Initiative’s instruments are, in this light, a single sustained argument that ALTO is a member of the class “high-speed and intercity rail megaprojects,” for which abundant outcome data exist. The disagreement is not, at root, about any one number. It is about the unit of analysis.

    That reframing matters because the outside view carries decisive quantitative content. On the largest dataset of its kind:

    1.40×
    what rail projects cost, on average, relative to estimate
    Flyvbjerg & Bester 2021
    ~⅔
    the share of forecast benefits that rail projects actually deliver (about 0.66)
    Flyvbjerg 2021, Table 2
    ~0.47×
    of the promised benefit–cost ratio that survives the generic rail correction — before any ALTO-specific factor
    0.66 ÷ 1.40

    Demand forecasts are worse still: for nine of ten rail projects passenger forecasts are overestimated, by an average of roughly 106 per cent, and for the high-speed subclass specifically the average cost escalation is higher than for rail as a whole. A single illustrative operation follows. Apply the generic rail correction to any proponent’s own benefit-cost ratio — multiply by roughly 0.66 divided by 1.40 — and the realised ratio falls to about 0.47 of what was promised, before a single ALTO-specific complication is added. Where the Initiative’s appraisal already places ALTO’s social benefit-cost ratio far below break-even on its own terms, the outside-view correction compounds on top of it. The philosophical point is that this correction imputes no motive whatsoever. It is simply what the base rate is.

    A live datum from the reference class · HS2, June 2026

    The abstraction acquires a face in Britain’s High Speed Two, the nearest contemporary member of the class. A National Audit Office report published on 29 June 2026 records that the cost of the London–Birmingham programme has roughly doubled since 2020 — an increase of some £36 billion excluding inflation — and that the full railway is now expected between three and thirteen years later than first planned. Most telling for the present argument is the fate of the project’s benefit–cost ratio. At the 2020 decision to proceed it stood at 1.2, or “low value for money.” Recomputed with the costs now known — had those costs been visible in 2020 — the auditor puts it at 0.3 to 0.4: “poor value for money.”

    The operation is not identical to the reference-class correction above; it substitutes the realised cost while holding benefits roughly fixed, rather than adjusting the two together. But its direction and magnitude corroborate the same claim, and do so from an independent auditor’s evidence rather than a critic’s model: the approval-stage ratio was an artefact of underestimation, and on realised costs the case for the project fell below viability from the outset.

    A qualification sharpens rather than softens the point. The proponent’s own benefit case does reach for the outside view — but only for the half of the ledger that flatters it. The two studies ALTO released in June 2026 build their benefit magnitudes almost entirely from the international high-speed-rail literature, the same European and Chinese reference class the Initiative invokes. What they import from that class is the size of the upside; what they decline to import is its base rate for realisation — that rail benefits arrive at about two-thirds of forecast and passenger numbers are overstated by roughly a hundred per cent. The class is admitted where it raises the estimate and excused where it would discipline it: base-rate neglect not as an oversight but as a selection rule.

    5 · The Evidence

    The evidential signature: deception versus error

    Here the analysis must be most disciplined, because here it is most tempting to overreach. Intent cannot be observed, and a non-partisan research initiative should not pretend otherwise. The framework, read carefully, does not ask it to. What it supplies instead is a distributional signature.

    Genuine technical error would scatter symmetrically around zero — a roughly normal distribution of overshoots and undershoots, centred near accuracy. What the data actually show is error that is consistently directional: costs under, benefits over, stable across decades and continents, with no improvement as techniques supposedly advance. That asymmetry is the tell. Innocent error is not supposed to know which way to point. When error reliably points in the funding-favourable direction across an entire population of projects, the hypothesis that cognition alone is responsible is the hypothesis that gets falsified.

    This is also how Flyvbjerg reads the verdict of Martin Wachs, who after decades studying transportation forecasting concluded that the persistent gaps between forecast and outcome amount not to a technical failing but to a collective failure of professional ethics. For ALTO, the methodologically honest claim is therefore not “the proponent is lying,” which cannot be established and which would forfeit the Initiative’s standing, but something more precise and more durable: that ALTO’s estimates exhibit the canonical directional signature — every adjustable assumption resolved in the direction that favours viability — and that this signature is, on the largest body of evidence in the field, the fingerprint of strategic distortion rather than honest error. The structure of the error carries the inference; the reader is left to draw the conclusion about agency. That is both the more rigorous posture and the more defensible one.

    A live datum from the proponent’s side · ALTO’s benefit case, June 2026

    If High Speed Two shows the cost half of the mechanism coming true after the fact, two studies ALTO released the same month — June 2026, two months after the consultation had closed — show the benefit half being assembled before it. A computable-general-equilibrium assessment of structural economic impacts reports a national real-GDP gain of about $24.4 billion a year; a corridor tourism study adds up to $3.9 billion in GDP and 43,000 jobs. Neither nets a cost. The macro study excludes construction and operating expenditure by design; the tourism study has no cost side to exclude. What both offer is a benefit total unaccompanied by the outlay required to obtain it.

    Their internal architecture is the directional signature in miniature. Each is built as a fan of scenarios — pessimistic to optimistic, low to high coordination — and in each the entire fan sits above zero. Every table of the macro study prints the same line, that welfare increases in every scenario; the tourism study’s weakest case is still $177 million and two thousand jobs. The scenario space has a floor at the baseline and no downside tail: the modelled question is only ever how large the gain is, never whether there is a loss. Even the reports’ own adverse mechanisms are kept from reaching the total — the tourism study concedes that faster trains shorten stays and turn overnight visits into day trips, and shows length of stay going negative in several cities, yet the aggregate is arranged to rise regardless.

    The sharpest tell is where the two documents contradict each other. The macro study omits domestic tourism on the ground that it is largely substitution from other household spending, with little net effect on national output; the tourism study builds most of its $33.7-billion base, and most of its headline uplift, from precisely that in-corridor domestic travel, counted through gross input–output multipliers that assume no such displacement. Where the promoter’s two reports disagree, each resolves the disagreement toward its own larger number. Both, to their credit, label their outputs illustrative, order-of-magnitude, and not forecasts, and make the largest figures conditional on tourism policy the railway itself does not deliver — but the numbers that leave the page are round and unconditional. The caveats stay in the prose; the figures travel. As with HS2, no claim about anyone’s honesty is required: it is enough that every adjustable assumption has resolved in the direction that favours the project.

    6 · The Selection Effect

    Survival of the unfittest

    The most consequential idea in the framework, for understanding how a project like ALTO comes to exist at all, is Flyvbjerg’s inverted Darwinism. It is not the best projects that get built, he argues, but the projects that look best on paper — and the projects that look best on paper are precisely those with the largest cost underestimates and benefit overestimates, which makes them, in reality, among the worst. The approval process thus operates as an adverse-selection mechanism, a Gresham’s law for infrastructure in which optimistic estimates drive out honest ones, because the candid project that books realistic costs and realistic ridership loses the funding contest to the one that does not.

    This reframes the central question. The issue is not merely whether ALTO is a sound project that may encounter difficulties. It is what it signifies that this project, rather than a more modest alternative, is the one that cleared the hurdles. On the selection logic, a project may clear those hurdles partly because it presented numbers a more candid competitor could not match and still survive. The very fact of approval, in an environment that rewards optimism, is therefore itself a piece of evidence — not proof of bad faith, but a structural reason to distrust the survivor’s own paperwork.

    7 · The Consultation

    Power, convexity, and the exclusion of the outside view

    Flyvbjerg’s claim that power amplifies cognitive bias — that powerful decision-makers are, in his phrase, convexity generators, more swayed by what comes readily to mind and more optimistic about risk — connects this framework to his earlier study of rationality and power. The mechanism that should most interest an observer of ALTO is institutional rather than psychological: he documents that those in power tend to exclude experts and deliberative scrutiny when the stakes are highest, precisely because deliberation threatens to disturb a decision already taken.

    A public consultation is, in principle, the institutional site at which the outside view ought to enter — the moment when base rates, comparator projects, and independent reference-class evidence acquire standing against the proponent’s inside view. The outside view is, after all, the established corrective: quality control by way of comparison with completed projects. The question a consultation poses, then, is whether it is genuinely structured to admit that evidence, or whether it functions to ratify a conclusion reached in advance. The Initiative’s critique of the consultation’s adequacy can be restated in exactly these terms: it is the claim that the outside view is being structurally excluded — which is what the theory predicts will happen at the high-pressure end of the scale, where ALTO sits. Exclusion, it should be said, is not always outright refusal; as the next section shows, the outside view can also be admitted so late that it can no longer change the answer, which is exclusion by another clock.

    One objection presents itself immediately, and it is worth meeting head-on. It might be said that ALTO did not exclude the outside view at all — that it went out and bought it. In 2024 the proponent issued an advance contract award notice, PAS240625-002-00, for reference-class forecasting, should-cost and should-schedule modelling, and a series of Challenge Boards, and named a single pre-identified supplier on the ground that only one firm was capable of the work. That firm is Oxford Global Projects, the consultancy founded by Bent Flyvbjerg and Alexander Budzier — the commercial vehicle of the very framework this paper applies, retained to take the outside view on ALTO’s own numbers. On its face this cuts against any claim of exclusion: the proponent engaged the outside view’s own author’s firm.

    But procuring the instrument is not the same as letting it bind, and that distinction is the whole of the matter. Reference-class forecasting debiases only when its outside-view figure is permitted to move the decision; a should-cost that is commissioned, filed, and left beside an unchanged inside-view estimate is not a corrective but a credential. The framework is explicit that the failure mode is not the absence of the outside view but its subordination — the number produced and then declined. The decisive record, accordingly, is not the existence of the forecast but the comparison: does ALTO’s published capital cost and benefit-cost ratio reflect its own reference-class should-cost, or diverge from it? That single document — the inside view and the outside view set side by side — would settle more than any figure the Initiative could model, because it would be the proponent’s own instrument speaking. This yields a falsifiable prediction rather than an accusation: if the commissioned reference-class numbers are more conservative than the figures ALTO has advanced in public, the outside view was procured and parked; if they match, the cost critique weakens accordingly. The test is available, and it is coming due.

    8 · The Timing

    Escalation, lock-in, and the manufactured point of no return

    Escalation of commitment enters this analysis chiefly as a prospective warning rather than a present diagnosis. Flyvbjerg ties it to preferential attachment: the projects that look best on paper attract the initial funding; initial funding creates lock-in; and once a point of no return is passed, further funds flow to close the gap between the original underestimate and the real cost — good money thrown after bad. Early disbursement is not incidental to this process. It is frequently the instrument by which the point of no return is engineered, so that cancellation comes to entail an irretrievable loss of money and of face.

    Read in this frame, the contract-commitment data emerging through the Initiative’s access-to-information work is significant less as a record of spending than as a measure of how far the lock-in mechanism has already advanced. The more that is committed before the numbers are independently tested, the harder it becomes for any future government to halt the project, whatever the evidence then shows. The implication is about timing, not motive: the window in which an outside view can still alter the decision is open now and closing — which is the strongest available argument for the urgency of independent appraisal before commitment hardens into inevitability.

    The same access-to-information channel now supplies a timing datum of its own. The Initiative’s request for the reference-class records described above — the workbook, the should-cost and should-schedule outputs, and above all any document setting the inside view beside the outside view — was met in June 2026 with a ninety-day extension carrying the response to 18 September 2026, and with a notice invoking third-party consultation under section 27. That combination foreshadows a commercial-confidence claim over precisely the should-cost and should-schedule figures that would make the comparison legible. The mechanism is the one this section describes, observed in real time: the record capable of disciplining the decision is scheduled to arrive, if at all, in redacted form and only after further commitment has hardened. Whether it plays out that way is, again, a matter the disclosure itself will settle — but the sequence is the point, and the sequence is the framework’s.

    High Speed Two shows the lock-in mechanism operating in plain sight, and in a form more counter-intuitive than the theory usually advertises. By 2026, with some £47 billion already spent, the National Audit Office found that the benefit–cost ratio for completing the programme had risen to a range of 1.5 to 6.4 even as the programme grew more expensive — because the estimated cost of cancelling it had more than quadrupled, to a figure comparable with the cost of finishing, and that avoided cost is subtracted from the remaining bill. This is escalation of commitment rendered as arithmetic: once enough is sunk, the books can show that continuing is “value for money” precisely because so much would be forfeit by stopping. The decision to proceed, the auditor records, rested on advice that the ratio merely exceeded 1.5 rather than on the full range. It is worth adding that the independent scrutiny the programme now receives — mega-project assurance panels, a central decision panel — was largely imported after that lock-in rather than before it. The outside view was not so much refused as deferred until it could no longer change the answer. For ALTO the lesson is about sequence: the cheapest moment to apply the test is now, before the commitment that will later make the same test read the other way.

    9 · The Alibi

    Bias as root cause, complexity as alibi

    The framework’s most important claim is that bias is the root cause of overrun, while scope changes, geology, weather, and complexity are merely proximate causes — the visible forms through which the underlying underestimation manifests. Behavioural science, in Flyvbjerg’s summary, tells the planner: your biggest risk is you. The Shield was always there to be reckoned with; the expropriation friction and the input-cost inflation were always foreseeable as a class. What is typically missing is not information about them but an honest reckoning with them at the planning stage.

    This pre-empts the alibi ALTO can be expected to offer when overruns arrive — that they were caused by unforeseeable geological, legal, or market conditions. On the framework’s account these are not exogenous shocks but the predicted shape of upstream underestimation: the causal chain runs from bias, to underestimation of scope during planning, to unaccounted-for scope changes during delivery, to overrun. This is also why two of the Initiative’s instruments are the most Flyvbjergian in its arsenal. An engineering-complexity scorecard and a community-friction index are attempts to quantify, in advance, the magnitude of precisely what the inside view suppresses — to put a number on the complexity and social resistance that will later be offered as an excuse, while that number can still discipline the decision. That is the de-biasing operation the framework prescribes.

    High Speed Two supplies an unusually candid illustration of the root-versus-proximate distinction — from the proponent’s own hand. Asked to account for the doubling of costs, the programme’s delivery body attributed the increase not principally to external shocks but to its own estimates: roughly a third to underestimation, a further quarter to inefficient delivery, and a further tenth to scope change, with inflation making up the balance. Its working definition of scope change is the decisive tell — “the addition of necessary works that were missed from the original scope.” That is not an exogenous event befalling the plan; it is the plan’s original incompleteness surfacing during delivery, which is exactly the causal order the framework asserts. When even the builder’s own decomposition places underestimation ahead of every other single non-inflationary factor, the alibi of unforeseeable complexity is hard to sustain.

    10 · The Discipline

    A caution, in the service of rigour

    One critical qualification protects the credibility of the entire exercise. The vocabulary of bias has a self-sealing tendency that the framework only half-acknowledges. Symmetric error can be relabelled noise; directional error, bias or lying; almost any outcome can be folded back into the scheme after the fact. Gerd Gigerenzer has pressed this point as a “bias bias,” and even sympathetic practitioners concede it is often impossible to identify which specific bias is operating or to exclude alternative explanations. Wielded loosely, the bias lexicon becomes unfalsifiable and reads as motive-imputation dressed up as analysis — which is the fastest route by which a non-partisan initiative is recast as a partisan one.

    ⚠ What keeps the analysis honest

    Rest the weight on the parts that are empirical and falsifiable — the reference-class comparison, the directional signature, the base-rate correction — and treat the attribution of deliberate deception as an inference the reader is invited to draw from structure, never as a claim asserted about named persons. That line is not merely ethical caution. It is, conveniently, the same line that separates an argument which survives hostile scrutiny from one that does not.

    11 · The Diagnosis

    Conclusion

    Read through Flyvbjerg, the scattered disputes over ALTO’s individual figures resolve into a single diagnosis.

    The structural profile

    ALTO’s profile — a Crown corporation, ministerial sponsorship, competition for scarce capital — places it where strategic distortion is predicted to dominate, with optimism layered on top.

    The directional signature

    Its forecasts display the one-directional error — costs under, benefits over — that distinguishes such distortion from innocent error, stable across decades and continents.

    Survival is a signal

    Its survival of the approval process is itself a mark of selection pressure that rewards optimism rather than a warrant of soundness.

    Complexity is not an alibi

    The geological and social difficulties it will later cite are the anticipated form of an underestimation already present in the plan — not exogenous shocks.

    None of this requires, or asserts, a claim about anyone’s honesty.

    What follows

    A relocation of the burden of proof

    What the framework asserts is a relocation of the burden of proof. The proponent’s inside-view estimates carry a known, measurable, directional bias; the outside view is the established corrective; and the appropriate demand is therefore that the decision be tested against the base rate before lock-in forecloses the test. That demand is the whole of this paper’s recommendation. What ought to be built instead, and on what evidence, is a separate question, reserved for other work of the Initiative. ■

    Works Cited

    Sources

    1.
    Flyvbjerg, Bent. “What You Should Know about Megaprojects and Why: An Overview.” Project Management Journal 45, no. 2 (2014): 6–19.
    2.
    Flyvbjerg, Bent. “Top-Ten Behavioral Biases in Project Management: An Overview.” Project Management Journal 52, no. 6 (2021): 531–546.
    3.
    Flyvbjerg, Bent, Mette K. Skamris Holm, and Søren L. Buhl. “Underestimating Costs in Public Works Projects: Error or Lie?” Journal of the American Planning Association 68, no. 3 (2002): 279–295.
    4.
    Flyvbjerg, Bent. “Design by Deception: The Politics of Megaproject Approval.” Harvard Design Magazine, no. 22 (2005): 50–59.
    5.
    Flyvbjerg, Bent, Mette K. Skamris Holm, and Søren L. Buhl. “How (In)accurate Are Demand Forecasts in Public Works Projects? The Case of Transportation.” Journal of the American Planning Association 71, no. 2 (2005): 131–146.
    6.
    Flyvbjerg, Bent, Nils Bruzelius, and Werner Rothengatter. Megaprojects and Risk: An Anatomy of Ambition. Cambridge: Cambridge University Press, 2003.
    7.
    Flyvbjerg, Bent, and Dirk W. Bester. “The Cost-Benefit Fallacy: Why Cost-Benefit Analysis Is Broken and How to Fix It.” Journal of Benefit-Cost Analysis 12, no. 3 (2021): 395–419.
    8.
    Flyvbjerg, Bent. “Survival of the Unfittest: Why the Worst Infrastructure Gets Built — and What We Can Do about It.” Oxford Review of Economic Policy 25, no. 3 (2009): 344–367.
    9.
    Flyvbjerg, Bent. Rationality and Power: Democracy in Practice. Chicago: University of Chicago Press, 1998.
    10.
    Flyvbjerg, Bent. “Quality Control and Due Diligence in Project Management: Getting Decisions Right by Taking the Outside View.” International Journal of Project Management 31, no. 5 (2013): 760–774.
    11.
    Flyvbjerg, Bent. “From Nobel Prize to Project Management: Getting Risks Right.” Project Management Journal 37, no. 3 (2006): 5–15.
    12.
    Kahneman, Daniel. Thinking, Fast and Slow. New York: Farrar, Straus and Giroux, 2011.
    13.
    Wachs, Martin. “The Past, Present, and Future of Professional Ethics in Planning.” In Policy, Planning, and People, edited by Naomi Carmon and Susan S. Fainstein, 101–119. Philadelphia: University of Pennsylvania Press, 2013.
    14.
    Gigerenzer, Gerd. “The Bias Bias in Behavioral Economics.” Review of Behavioral Economics 5 (2018): 303–336.
    15.
    National Audit Office. High Speed Two reset. Report by the Comptroller and Auditor General, Session 2026-27, HC 52. London: National Audit Office, June 2026.
    16.
    Aviseo Consulting. An Overview of the Structural Economic Impacts of Alto: Computable General Equilibrium Modelling Approach to Assessing High-Speed Rail in the Toronto–Québec City Corridor. Prepared for Alto. June 2026.
    17.
    CPCS, in association with HDR. Tourism in the Alto Corridor: Current Conditions and Potential Impacts. Prepared for Alto. June 2026.
    18.
    Alto (VIA HFR – VIA TGF Inc.). Advance Contract Award Notice PAS240625-002-00 (project management and control expertise; pre-identified supplier Oxford Global Projects UK Limited). 2024.
    19.
    Alto (VIA HFR – VIA TGF Inc.). Notice of extension, Access to Information request A-2026-0004. June 2026. On file with the Initiative.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Working Paper  ·  June 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • By their own standard

    Research Brief · Methodology

    By Their Own Standard

    Build Canada’s case for high-speed rail, measured against the megaproject method the memo itself invokes.

    ALTO HSR Citizen Research Initiative · Methodology Brief · Published June 2026 · ALTO consultation closed April 24, 2026
    ⚠ The Document Under Review

    Build Canada’s February 24, 2025 memo, Let’s Show the World How Canada Builds, was published one week after the federal high-speed rail announcement. It endorses high-speed rail in the Toronto–Quebec City corridor and names ALTO directly, while contesting only how the project is delivered — not whether the demand exists or whether the benefit–cost case closes. This brief takes the memo’s argument on its own terms, and holds it to the analytical standard the memo itself sets. Build Canada · original memo

    Critical Finding

    The memo reaches for exactly the right tools. It quotes Bent Flyvbjerg, the leading scholar of megaproject cost overruns; it calls for reference-class benchmarking against comparable lines; it demands contingency discipline; and it warns that without these, ALTO becomes another HS2 or California High-Speed Rail. On the diagnosis, the Initiative agrees.

    The memo then abandons each principle at the moment it matters. It caps contingency at the level that, on its own logic, guarantees overrun. It imports foreign unit costs from a reference class that is not comparable. And it promises true high-speed rail at a unit cost that, in Canadian conditions, only high-performance rail can plausibly reach. Applied honestly, the memo’s own method points away from its conclusion.

    The evidence produced since the announcement confirms the diagnosis the memo made and refutes the targets it set. The corridor is still being fundamentally re-routed in the project’s second year; the friction the memo proposed to legislate away has surfaced exactly where the method predicts. The case for caution on ALTO does not require rejecting Build Canada’s framework. It requires applying it.

    The Argument’s Shape

    What the memo contests, and what it does not

    The memo’s argument has a particular structure. It accepts ALTO’s entire benefit case without examination — 40 per cent of the economy, 18 million people connected, up to $35 billion a year in added GDP, travel times halved — and contests only whether the project can be built cheaply and quickly. Every one of those headline figures is the proponent’s own number, repeated approvingly. The memo never asks whether the ridership exists to fill the trains, or whether the benefits exceed the costs.

    It asks one question: can Canada build it the way France, Spain, and Japan did? To answer, it reaches for the right instruments — Flyvbjerg’s work on megaproject overruns, reference-class benchmarking, contingency discipline, and the cautionary record of HS2 and California. That choice of tools is what makes the memo worth engaging seriously, and what makes its conclusion fail. The same tools, applied with honest inputs, do not support the case the memo builds on them.

    Held To Its Own Standard

    Three flaws, by the memo’s own method

    On three load-bearing claims, the memo prescribes the opposite of what the method it cites requires. The left column states the memo’s own prescription; the right column applies the memo’s own standard to it.

    What the memo prescribesHeld to its own standard
    1. Cap contingency, including inflation, at 10 per cent. Presented as following global best practice, alongside meticulous benchmarking against French and Japanese lines.Reference-class forecasting — the very method the memo invokes — requires a larger uplift the less design is complete, because the unknowns are still unpriced. The memo itself concedes Canadian projects sit at 1–10 per cent design maturity. At that maturity, the honest uplift is routinely 40 per cent or more; a 10 per cent cap is defensible only near design completion. The prescription specifies the precise conditions under which budgets break, and calls it discipline.
    Verdict:Self-contradictory
    2. $25–40M per km; a corridor for under $50B; payback within two years. Drawn from the cost record of France, Spain, and Japan.A reference class works only if the cases are comparable, and these are not. The cited figures come from older lines, on flatter and cheaper terrain, in earlier cost eras, with no adjustment for what this corridor crosses: the granite of the Canadian Shield, the Frontenac Arch, the wetland and karst of eastern Ontario, and dense urban approaches at both ends. Importing an unadjusted foreign unit cost is exactly the non-analogous-reference-class error Flyvbjerg’s method exists to catch — committed in the section that cites him. The Initiative’s complexity-adjusted estimate runs several times higher, with a central benefit–cost ratio far below the break-even the memo treats as obvious.
    Verdict:Wrong reference class
    3. True high-speed rail at that same unit cost. Dedicated track, full electrification, grade separation, 300 km/h — delivered for $25–40M per km.In Canadian conditions, $25–40M per km is not a high-speed-rail figure at all. It is roughly the cost of a high-performance rail upgrade — incremental improvement of existing alignments, the option the memo dismisses in a single line. The memo promises high-speed performance at high-performance-rail prices. The headline product and the headline number belong to two different projects; you cannot buy the performance of one at the price of the other.
    Verdict:HSR promise, HPR price
    $25–40M
    per km — the memo’s claimed unit cost, from France / Spain / Japan
    Build Canada memo
    ≈ $143B
    reference-class capital for the corridor delivered as high-speed rail
    CRI reference-class analysis
    ≈ 0.06
    central benefit–cost ratio — against the memo’s implied two-year payback
    CRI NPV / BCR matrix

    “Payback in two years” implies a project that returns many times its capital. The reference-class evidence points to one that returns a small fraction of it. The gap between the memo’s number and the comparable record is not a rounding difference; it is the entire argument.

    What Has Happened Since

    The diagnosis confirmed, the targets refuted

    More than a year on, events have tested the memo’s promises against reality. They vindicate its diagnosis of Canadian megaproject failure and dismantle the targets it set against that diagnosis.

    A corridor still being re-routed in year two

    The memo set a target of a high-value section carrying passengers within five years, on standardized, locked-in designs, at 10 per cent contingency. Yet the corridor is still being fundamentally re-aligned — a southern-corridor study, a conditional new station at Kingston, an alignment still unchosen between north and south. That is direct evidence of the planning immaturity the memo flagged on its first page — and it makes the memo’s own targets incoherent. You cannot run trains in five years on frozen designs while you are still deciding where the line goes.

    Friction exactly where the method predicts

    The memo’s prescriptions — sever environmental review from planning, legislate automatic approvals, reduce municipalities to suggesting where infrastructure is placed rather than whether — were aimed at the precise constraints this corridor turns out to be full of: two UNESCO designations, species at risk, organized community opposition, and rural-character concerns that public consultation surfaced in volume. The Initiative’s Community Friction Index has risen from 43 to 54 since consultation began and is projected to climb further. The memo’s answer to friction is not to resolve it but to override it — and on this corridor, that is neither lawful nor likely.

    The memo’s own number makes the HPR case

    The memo dismisses improving existing rail as insufficient, insisting dedicated high-speed track is the only way. But its own affordability figure, $25–40M per km, is a high-performance-rail number — and the consultation recorded clear public appetite for improving VIA service first and preserving existing Kingston and eastern-Ontario connections. Strip the rhetoric and the memo makes the affordability case for the alternative it rejects.

    Conclusion

    The antidote that recreates the disease

    The memo casts ALTO as Canada’s escape from the HS2 and California failures. Trace its logic, though, and the resemblance runs the other way. “We will build it cheaply and quickly like France and Japan — just cap the contingency and clear the obstacles” is not the cure for optimism bias. It is the textbook expression of it, almost word for word how California began.

    The memo’s real service is that it concedes the entire framework. Flyvbjerg, reference classes, contingency discipline, planning maturity: take those tools, feed them honest inputs, and the conclusion does not survive. The case for caution on ALTO does not require rejecting Build Canada’s method — it requires applying it. Done honestly, it points not toward a sprint to high-speed rail at imported prices, but toward a high-performance upgrade of the corridor Canadians actually use, at a cost the country can defend.

    Where The Method Lands

    Summary ledger

    The memo measured against the standard it sets for itself:

    Sound
    Diagnosis — planning-maturity gap. Correctly identifies that Canadian projects enter procurement at 1–10% design versus 30–70% abroad.
    Sound
    Delivery authority. Rightly prefers a strong, technically competent public authority over dependence on a consultant consortium.
    Sound
    Reference-class benchmarking. Rightly names it as the antidote to optimism bias.
    Violated
    10% contingency cap prescribed at 1–10% design maturity — manufactures the overrun the memo warns against.
    Violated
    $25–40M/km imported from non-comparable lines without adjustment for terrain, era, or urban approaches.
    Violated
    HSR promised at HPR price. The headline product and the headline cost belong to two different projects.
    Violated
    Override of environmental review and municipal consent — aimed squarely at the corridor’s real, documented constraints.
    Refuted by events
    Five-year passenger target on frozen designs — incompatible with a corridor still being re-routed in the project’s second year.

    The memo is at its strongest where it agrees with the Initiative — on method. It is at its weakest where it abandons that method to reach a predetermined answer. Applied honestly, Build Canada’s own framework makes the case for high-performance-rail realism, not for a high-speed sprint at imported prices.

    Sources

    Primary documents and references

    1.
    Build Canada, “Let’s Show the World How Canada Builds” (memo), February 24, 2025 — the document under review. buildcanada.com/memos/how-canada-builds
    2.
    Alto, Public Consultation Report, June 22, 2026 — corridor framing, southern-corridor and Kingston-station feedback, community and environmental concerns.
    3.
    Bent Flyvbjerg, “What You Should Know About Megaprojects and Why: An Overview,” Project Management Journal (2014) — the megaproject-overrun research the memo cites.
    4.
    ALTO HSR Citizen Research Initiative — reference-class forecasting, Engineering Complexity Index regression, and de-biased cost analysis for the Toronto–Quebec City corridor.
    5.
    ALTO HSR Citizen Research Initiative — NPV / benefit–cost matrix and Community Friction Index (post-consultation update).
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Methodology Brief  ·  June 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.