Tag: CPCS

  • Procured and then

    ALTO HSR Citizen Research Initiative · Brief · September 2026

    Procured, and Then?

    ALTO commissioned the outside view. Whether it changed anything is the one question the record does not answer.

    In Plain Language

    The standard fix for over-optimistic infrastructure forecasts is to check them against what comparable projects actually cost and carried, rather than trusting the project’s own bottom-up numbers. That check is called reference-class forecasting, and ALTO commissioned one. It hired the firm founded by the researcher who developed the method.

    That is to ALTO’s credit. But commissioning a check and acting on it are different things, and only one document would show which happened: a comparison putting ALTO’s own published figures beside the ones the check produced. The Initiative asked for that record. The response was extended to 18 September 2026, with notice that a third party would be consulted — a step the Act provides for where an institution intends to release records that may contain a supplier’s commercial information.

    Meanwhile, in June 2026, ALTO published two studies putting large dollar values on the project’s benefits. Neither sets those benefits against what the line would cost. This brief looks at all three documents and asks what they show about how the project’s numbers are being assembled — and what a single unredacted release would settle.

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    Procured, and Then? (PDF)
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    Related
    HPR Research Report, Chapter 1
    The forecasting framework this brief applies, set out in full
    Read Chapter 1
    01 · The Instrument

    ALTO commissioned the outside view

    Chapter 1 of the HPR Research Report sets out the method this brief relies on, so it is only summarised here. Large infrastructure forecasts miss in a consistent direction: costs come in high, benefits come in low. The established corrective is to stop treating a project as unique and instead compare it against the recorded outcomes of projects like it. The technique has a name — reference-class forecasting — and a literature behind it.

    In 2024 ALTO 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. An advance contract award notice is the instrument used when a department intends to award without competition, on the basis that only one supplier can do the work. The named supplier was Oxford Global Projects, the consultancy founded by Bent Flyvbjerg and Alexander Budzier.

    This is worth stating plainly, because it cuts against the easy criticism. ALTO did not ignore the outside view. It went out and procured it, from the people who developed it.

    02 · The Question

    Buying the instrument is not the same as letting it bind

    Reference-class forecasting corrects a forecast only if the number it produces is permitted to move the decision. A should-cost that is commissioned, delivered and then filed next to an unchanged inside-view estimate has not corrected anything. The method’s own literature is explicit that the failure mode is not the absence of the outside view but its subordination — the number produced, and then declined.

    So the decisive record is not the existence of the forecast. It is the comparison: does ALTO’s published capital cost reflect its own reference-class should-cost, or diverge from it? One document would answer that — the inside view and the outside view set side by side.

    A test, not an accusation

    This yields something better than a claim about anyone’s conduct: a prediction that can be checked. If the commissioned reference-class figures are more conservative than the numbers ALTO has published, the outside view was procured but not applied. If they match, the Initiative’s cost critique weakens accordingly.

    We do not know which. Nothing in this brief asserts that ALTO set the analysis aside. The point is that the question is answerable, that a single document answers it, and that the document exists.

    03 · The Clock

    The record will arrive after the decision has moved on

    The Initiative requested the reference-class records under access to information — the workbook, the should-cost and should-schedule outputs, and above all any document setting the inside view beside the outside view. Request A-2026-0004 was met in June 2026 with a ninety-day extension carrying the response to 18 September 2026, together with a notice invoking third-party consultation under section 27.

    Section 27 consultation is a routine step, and it is worth being precise about which way it points. The section applies where the head of an institution intends to disclose a record that may contain a third party’s commercial information: the notice tells that third party of the intention to release and gives it twenty days to make representations against disclosure, and invoking the section is what permits the response time to be extended. The notice on A-2026-0004 therefore records that Alto has turned its mind to releasing the reference-class records and has given Oxford Global Projects the opportunity to object. It is not a signal that the material will be withheld.

    What remains is a question of timing rather than intent. The third party may object and the institution may then withhold some of the figures; equally it may not. What can be said is the sequence: the record capable of testing the decision will arrive after further commitment has been made. What it contains, the disclosure itself will settle.

    Why timing decides this

    An outside-view check disciplines a decision only while the decision is still open. Once enough money is committed, the arithmetic changes: the cost of stopping is subtracted from the cost of continuing, and a project can show better value for money the more has already been spent on it. Britain’s High Speed Two reached exactly that point — the National Audit Office found in June 2026 that the ratio for completing the programme had risen even as the programme grew more expensive, because the estimated cost of cancelling had more than quadrupled.

    The cheapest moment to apply the test is before that crossover, not after it.

    04 · The Benefit Case

    Two studies, no cost side

    In June 2026, two months after the consultation closed, ALTO released two commissioned studies. A computable general equilibrium assessment by Aviseo Consulting reports a national real GDP gain of about $24.4 billion a year. A corridor tourism study by CPCS with HDR adds up to $3.9 billion in GDP and 43,000 jobs.

    Neither nets a cost. The macroeconomic study excludes construction and operating expenditure by design; the tourism study has no cost side to exclude. Both are benefit totals unaccompanied by the outlay required to obtain them. Both, to their credit, describe their outputs as illustrative and order-of-magnitude rather than forecasts, and make the largest figures conditional on tourism policy the railway itself does not deliver.

    The scenario range has a floor and no ceiling on the downside

    Each study is built as a fan of scenarios, from pessimistic to optimistic. In both, the entire fan sits above zero. The macro study reports welfare increasing in every scenario; the tourism study’s weakest case is still $177 million and two thousand jobs. The modelled question is how large the gain is, never whether there is a loss.

    Adverse mechanisms are identified but do not reach the total

    The tourism study acknowledges that faster trains shorten stays and convert overnight visits into day trips, and shows length of stay falling in several cities. The aggregate rises regardless.

    The two studies disagree, and each resolves the disagreement upward

    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 multipliers that assume no such displacement. The two treatments diverge, and in each case the treatment adopted is the one that yields the larger figure for that study.

    The studies import the literature’s upside but not its realisation record

    Both studies draw their benefit magnitudes from the international high-speed rail literature — the same comparison set the Initiative uses. What they import is the size of the upside. What they do not import is that literature’s record on realisation: rail benefits arriving at about two-thirds of forecast, and passenger numbers overstated by roughly a hundred per cent.

    Each of the four observations above is a description of what the documents contain. Taken together they describe a benefit case in which every point of divergence has resolved in the same direction — which is the pattern the forecasting literature says to look for, and the reason an independent outside-view comparison matters more, not less, once numbers of this size are in circulation. The same two studies are examined in detail in the Initiative’s briefs Two Point Two Trillion and At Face Value.

    05 · The Ask

    Publish the comparison

    The Initiative’s recommendation is narrow and does not require anyone to accept a word of its own analysis.

    01
    Release the comparison in full. ALTO should publish its reference-class should-cost and should-schedule outputs alongside its published capital cost and benefit-cost figures, unredacted. The outside view was commissioned to be seen, not filed.
    02
    Publish the benefit studies against a cost. A $24.4-billion annual benefit figure is not interpretable without the outlay required to obtain it. The two June 2026 studies should be accompanied by an appraisal that nets one against the other.
    03
    Apply the test before further commitment. The window in which an outside-view check can still change a decision is open now. It narrows with every disbursement.

    It requires one document to be made public. The framework behind the request is set out in full in Chapter 1 of the HPR Research Report; what ought to be built instead is the subject of the chapters that follow it.

    How to read this brief

    Every figure attributed to Alto, Aviseo, CPCS, the National Audit Office or a published paper is quoted from the source listed below and can be checked there. Nothing else here is a calculation of ours: the argument rests on what the documents contain and on the sequence of dates, not on a competing estimate.

    Where a record has not been released, this brief says so rather than inferring its contents, and makes no claim about why any extension was taken or any figure was or was not published. The prediction in section 02 is stated in both directions and will be settled by the disclosure, not by us.

    Sources

    Documents relied on

    1
    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.
    2
    Alto (VIA HFR – VIA TGF Inc.). Notice of extension, Access to Information request A-2026-0004. June 2026. On file with the Initiative.
    3
    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.
    4
    CPCS, in association with HDR. Tourism in the Alto Corridor: Current Conditions and Potential Impacts. Prepared for Alto. June 2026.
    5
    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.
    6
    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.
    7
    Flyvbjerg, Bent. “Top-Ten Behavioral Biases in Project Management: An Overview.” Project Management Journal 52, no. 6 (2021): 531–546.
  • Two point two trillion

    Two Point Two Trillion

    ALTO’s headline economic claim is true of the Canada that existed in 2019. It is presented to the public as today’s.

    ⚠ Two studies, two summaries

    ALTO has commissioned two economic studies and published both. Aviseo Consulting produced a computer model of the effect of high-speed rail on the whole Canadian economy. CPCS, working with HDR, produced a study of its effect on tourism. Both reports are careful. Both state their limits plainly. Both are free to download from ALTO’s website.

    This brief is not about those studies. It is about the difference between what they say and what ALTO says they say. That difference is where the public numbers come from — and it is what a travel trade article repeated to a wide audience on July 20, 2026, without opening either report.

    What we found, in one minute

    The famous 1.1 per cent is 1.1 per cent of Canada’s 2019 economy. The Aviseo report says so on page 13, in those words. ALTO’s public pages drop the year and call the money “today’s value.” Canada’s economy is now about a third bigger than it was in 2019, so the same claim in today’s money would be about $36.5 billion, not $24.5 billion — or, if you keep the dollar figure, about 0.74 per cent, not 1.1.

    Almost all of it is one assumption. Of the $24.4 billion the model produces, $21.0 billion comes from assuming businesses in and around Toronto, Montréal, Ottawa and Québec City become 3 per cent more productive. Change that one dial to 2 per cent and the answer is $13.8 billion. Change it to 5 per cent and it is $34.5 billion. ALTO publishes the middle figure and not the range.

    The two studies disagree with each other about tourism. Aviseo counts international visitors only and says domestic tourism is mostly people spending money they would have spent anyway. CPCS builds its headline on domestic travel within the corridor. The two use different methods that cannot be added together. Neither of ALTO’s summaries mentions the other study.

    And in the tourism study’s base case, the small towns get nothing at all. Under the scenario where no extra tourism policy is put in place, Peterborough and Trois-Rivières receive zero additional visitor spending and zero additional GDP. The blog post announcing that study is titled “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns.”

    The Arithmetic

    1.1 per cent of which year?

    ALTO’s website puts the claim in one line: a “1.1% increase in Canada’s GDP ($24.5 billion in today’s value)”. GDP means the total size of the economy — everything the country produces in a year.

    Work backwards from those two numbers and you can calculate how big the economy would have to be for both to be right at once.

    $24.4B
    the benefit the study actually reports
    Aviseo report, Table 1
    1.1%
    the share of the economy that represents
    Aviseo report, page 13
    $2.22T
    the size of economy where both are true
    $24.4 billion divided by 1.1 per cent

    Statistics Canada measures the economy every three months. In the first quarter of 2026 it came to $3,321,588 million — about $3.32 trillion. That is roughly $1.1 trillion more than the figure the two numbers imply. Statistics Canada

    Two notes on these figures. Nobody has claimed that Canada’s economy is $2.22 trillion. That number is our own division of the two figures ALTO publishes together, and it is here because it is what those two figures imply about each other. And the benefit appears on this page as both $24.4 billion and $24.5 billion: the first is the number in Aviseo’s own table, the second the rounded form ALTO uses on its benefits page. They are the same estimate.

    The study explains why, and it is not hiding anything. The Aviseo model is built on Statistics Canada’s 2019 picture of the economy, chosen because 2020 and 2021 were pandemic years and the data from them is not reliable. Page 13 then states the result carefully: the gain is about $24.4 billion, which is roughly 1.1 per cent of Canada’s 2019 GDP.

    That is the whole finding. The study says 2019. ALTO’s website says “today’s value.”

    If you use the 1.1 per cent

    Applied to today’s economy, the benefit would be about $36.5 billion a year. ALTO’s published dollar figure understates its own claim by roughly a third.

    If you use the $24.4 billion

    Measured against today’s economy, that is about 0.74 per cent — not 1.1. The headline percentage is too high for the dollar figure beside it.

    There is a further wrinkle worth knowing. The model is what economists call static. It does not project forward year by year. It asks a single question: what would 2019 have looked like if the railway had already been running? The report says so directly. That means there is no discounting and no present-value calculation anywhere in it — so the phrase “in today’s value” describes a piece of arithmetic the study never performed.

    Where The Number Comes From

    Almost all of it is a single dial

    The model adds up three separate effects. The report breaks them out, so we can see exactly how much each one contributes to the $24.4 billion.

    ChannelContributionShare of total
    Productivity — businesses getting more done because cities are better connected$21.0B86%
    Labour supply — people working more hours because commuting is quicker$2.7B11%
    Tourism — extra spending by international visitors$0.8B3%
    Total$24.4B100%

    Nearly nine tenths of the headline comes from the productivity line. So it is worth knowing exactly how that number was produced.

    The modellers picked a figure from the international research for how much more productive businesses become when a fast rail link arrives. The research offers a range. They chose 3 per cent for their middle case, then applied it to the economies of four metropolitan areas: Toronto, Montréal, Ottawa and Québec City.

    Those four metros produce roughly a third of Canada’s economy. Three per cent of a third is about one per cent. The headline is close to being arithmetic from the assumption rather than a discovery about railways.

    What happens when you move the dial

    The report tests three settings. At 2 per cent, the total is about $13.8 billion. At 3 per cent, it is $24.4 billion. At 5 per cent, it is $34.5 billion. Across everything the report tests, the full range runs from $14.8 billion to $41.0 billion. ALTO’s blog post and website give one number from the middle of that range and no range at all.

    And note which places are in the calculation

    Toronto, Montréal, Ottawa and Québec City. Not Peterborough. Not Trois-Rivières. Not Laval. The model gives the productivity benefit — nearly nine tenths of the whole claim — to the four largest cities on the line and to nowhere else.

    The research the modellers drew on says these effects concentrate within about 30 kilometres of a station. Because nobody knows yet where the stations will be, the study used each city’s whole metropolitan area as a stand-in for that 30-kilometre circle. The report is open about this. It means the 3 per cent boost is applied to every business in those metros, including the great many that will never go near the train.

    Study Versus Summary

    What the reports say, and what the blog posts say

    Both studies are honest about their limits. Both blog posts announcing them are not. This is the pattern at the centre of this brief.

    What the report saysWhat ALTO’s summary says
    Aviseo: the gain is roughly 1.1 per cent of Canada’s 2019 GDP.ALTO’s blog: the analysis concludes ALTO will permanently uplift Canada’s GDP by 1.1 per cent. No year. ALTO’s benefits page: $24.5 billion in today’s value.
    Not carried:The base year
    Aviseo: results run from $14.8B to $41.0B depending on which assumptions are used.One figure, from the middle. The range appears in neither the blog post nor any public ALTO page.
    Not carried:The range
    Aviseo: the study deliberately excludes construction and operating costs, looking only at long-term effects.Presented as the economic case for building the railway. A study that excludes costs cannot tell you whether a project is worth its price.
    Not carried:The scope limit
    CPCS: the scenarios are illustrative, order-of-magnitude, and “should not be interpreted as forecasts.”ALTO’s blog: CPCS developed forecasts, and the report includes tangible projections giving real-world, objective results.
    Contradicted:The report’s own caution
    CPCS: three scenarios — $177M, $1.0B, $3.9B in added GDP, depending on how much tourism policy is coordinated.The middle figure only. The low scenario, roughly six times smaller, is not mentioned.
    Not carried:The low case
    Both reports: commissioned and paid for by ALTO. Aviseo’s cover states the work was undertaken on ALTO’s behalf. CPCS notes the opinions are the authors’ own.Both blog posts describe the consultants as independent — in the same passage that says ALTO engaged them.
    As stated:The word “independent”

    To be clear about who did what

    Neither consultancy has done anything wrong here. Aviseo tested six different sets of economic assumptions and two labour-market conditions, ran close to a hundred simulations, reported ranges throughout, and stated its base year. CPCS labelled its scenarios illustrative and warned against reading them as forecasts. The reports are the careful part. The summaries are where the caution disappears.

    Two Studies, One Question

    The two reports disagree about tourism

    Both studies estimate how much extra economic activity tourism would bring. They arrive at similar-looking numbers by opposite routes, and the two cannot simply be added together or compared.

    Aviseo — $0.8 billionCPCS — $1.0 billion
    Counts international visitors only. The report says domestic tourism is largely people spending money they would have spent somewhere else in Canada anyway, so it has limited effect on the national total.

    Uses a model of the whole economy, which subtracts activity drawn away from elsewhere.
    Its middle scenario is driven mostly by travel within the corridor — exactly the domestic tourism Aviseo set aside.

    Uses a simpler method that adds up ripple effects through suppliers and wages without subtracting what was displaced. This produces larger figures by design.
    Result:Two numbers that cannot be combined

    There is a third figure in circulation. ALTO’s FAQ page advertises $800 million a year in tourism revenue. That matches Aviseo’s contribution-to-GDP figure, which is not the same thing as revenue — and it matches no revenue figure in either report.

    So ALTO’s public materials carry a tourism benefit that is variously $0.8 billion of national output, $1.0 billion of national output, and $800 million of revenue, drawn from two studies using incompatible methods, one of which discounts the category the other relies on. Neither blog post mentions that the other study exists.

    The Small Towns

    In the base case, two station cities get zero

    The CPCS tourism study models three futures. The railway is identical in all three. What differs is how much extra tourism policy governments put in place around it — last-mile transit, regional shuttles, coordinated visitor information. The low coordination scenario is the one where the railway gets built and nothing else changes.

    CityLow coordinationHigh coordination
    Toronto$37Mup to $1,500M
    Québec City$50Mup to $500M
    Montréal (incl. Laval)$44Mup to $900M
    Ottawa-Gatineau$21Mup to $560M
    Trois-Rivières$0up to $25M
    Peterborough$0up to $35M

    Zero. Not a small amount — nothing. The report’s GDP table records the same: Peterborough unchanged at $475 million, Trois-Rivières unchanged at $318 million.

    Even under full corridor-wide coordination, Peterborough reaches up to $35 million against Toronto’s $1.5 billion — roughly 43 to 1. The blog post announcing this study is titled “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns.”

    The Initiative has examined this study in full elsewhere — its scope, the conditions attached to its scenarios, the rural corridor regions left outside its frame, and the cost side it does not count. Benefits for Stations, Costs for the Corridor

    The Missing Side

    A study that cannot tell you if it is worth it

    The Aviseo report states in its introduction that it deliberately leaves out construction and operating costs, in order to focus on long-term effects. That is a reasonable choice for the study. It has a consequence.

    A benefit figure with no cost beside it cannot answer the only question that matters: is this worth building? The report never claims to answer it. ALTO’s summary presents it as though it does, and the trade coverage went further still, running the entire economic case without a single dollar of cost anywhere in it.

    The cost side is not a mystery. It is simply somewhere else. ALTO’s published figure is $60 to $90 billion — a range its own chief executive has described as a working assumption rather than an estimate, with real numbers not expected until 2027 or 2028, after the route is chosen. The Initiative’s analysis of the full ledger puts ALTO’s central benefit-cost ratio at about 0.11, against the 1.0 that marks a project paying its way. Financial Analysis

    The shape of the published record

    The benefit is modelled in detail by two consultancies, published to two significant figures, and repeated by every outlet covering the project. The cost is a range spanning $30 billion, described by the proponent as an assumption, and resolvable only after the decision it is meant to inform has been taken. That asymmetry is the finding, not the individual numbers.

    This is the pattern the Oxford researcher Bent Flyvbjerg documents across large infrastructure projects worldwide: benefits arrive early, precisely, and in dollars; costs arrive late, as ranges, after commitment.

    The Chain

    Six weeks, and the reports were not cited

    The article that prompted this brief promised readers what others are missing about ALTO’s economics, and led on tourism. Here is what had already been published.

    2019
    The year of the economy the Aviseo model is built on. Everything downstream is expressed in this year’s terms.
    2024
    Aviseo runs the model. ALTO supplies its passenger forecasts in May and June.
    June 8, 2026
    ALTO publishes “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns,” with the full CPCS tourism report attached for download.
    June 2026
    The Aviseo report is uploaded to ALTO’s website.
    July 13, 2026
    ALTO publishes “How Alto Will Reshape Canada’s Economy,” with the full Aviseo report attached for download. It states the 1.1 per cent without the year, the range, or the cost exclusion.
    July 20, 2026
    A travel trade site publishes a long article on ALTO’s economics and tourism benefits under a headline promising what others are missing. Its two themes are the two blog posts. It cites neither report, calls the analysis independent, and contains no cost figure of any kind.

    Seven days after one blog post and six weeks after the other. The tourism angle presented as the overlooked discovery had been the subject of an entire ALTO blog post and a 42-page commissioned report, both freely available, for a month and a half.

    Why this matters more than one bad article

    Each outlet in a chain like this can be cited by the next as confirmation. A figure that has never been independently checked ends up looking like something everybody agrees on, purely because it has been repeated. In this case the answer was not hidden. It was a click away from the two blog posts the article’s themes are drawn from.

    What the article contains, and what it does not

    The article cites neither report. It describes the analysis as independent. It contains no cost figure of any kind. Its two themes are the subjects of two ALTO blog posts published seven days and six weeks earlier, each with the full commissioned report attached for download on the same page.

    Summary · July 2026

    Where things stand

    Wrong year
    “$24.5 billion in today’s value.” The study says 1.1 per cent of Canada’s 2019 GDP. In today’s economy the same claim is either $36.5 billion or 0.74 per cent, not $24.5 billion and 1.1 per cent.
    Wrong kind
    “Today’s value” describes a calculation the study never did. The model is static and contains no discounting. Its results are annual, not a one-time total.
    Not carried
    The range. Aviseo reports $14.8B to $41.0B. CPCS reports $177M, $1.0B and $3.9B. ALTO publishes one figure from the middle of each.
    Not carried
    The scope limit. Aviseo excludes costs by design. The study is presented as the economic case for a project whose price it never considered.
    Contradicted
    “Should not be interpreted as forecasts.” CPCS’s words. ALTO’s summary calls the same scenarios forecasts, tangible projections and objective results.
    At odds
    Benefits for small towns. Under the scenario where only the railway is built, Peterborough and Trois-Rivières receive $0. The blog announcing that report is titled “from Big Cities to Small Towns.”
    Unreconciled
    Two tourism figures. $0.8B from one study counting international visitors, $1.0B from another counting domestic travel, by methods that cannot be combined — plus $800M of “revenue” on the FAQ that matches neither.
    As stated
    “Independent.” Both consultancies were engaged and paid by ALTO. Both blog posts state this in the same passage that calls the firms independent, so a reader who takes the word to mean “not commissioned by the proponent” is reading it in a sense the passage itself rules out.
    Fragile
    Eighty-six per cent of the claim rests on one assumption — a 3 per cent productivity gain applied to four metropolitan economies. At 2 per cent the total is $13.8B; at 5 per cent, $34.5B.
    Sound
    The studies themselves. Both are careful, both state their limits, both are published in full and free to download. Our argument is with the summaries, not the analysis.

    What we are and are not saying

    We are not saying high-speed rail cannot bring economic benefits, and we are not criticising the consultants who did this work.

    We are saying that ALTO commissioned two careful studies and then published summaries that removed the base year, the ranges, the scope limits and the warnings — and that the resulting figures now circulate as settled facts. On the arithmetic, the position is narrow and easy to check: 1.1 per cent and $24.5 billion cannot both describe today’s Canada, and the study says which year they describe.

    ALTO could correct this in a sentence. Adding the words “of 2019 GDP” to its benefits page would make the claim accurate.

    How to read the numbers on this page

    Every figure attributed to Aviseo, CPCS, ALTO or Statistics Canada is quoted from the source listed below and can be checked there. Every other figure is our own calculation from those published inputs: the $2.22 trillion implied economy, the $36.5 billion and 0.74 per cent restatements in current terms, the observation that 3 per cent of roughly a third of national output is about 1 per cent, the 43-to-1 Toronto-to-Peterborough ratio, and the benefit-cost ratio of about 0.11, which comes from our own financial analysis and not from either commissioned study.

    Where a study or a summary does not state something, we say so rather than inferring it, and we make no claim about why any particular qualification was or was not reproduced.

    Download
    Two Point Two Trillion — Full Brief (PDF)
    The complete analysis, with all figures, tables and sources
    Download PDF
    Sources

    Where our figures come from

    1.Aviseo Consulting, An Overview of the Structural Economic Impacts of Alto: Computable General Equilibrium Modelling Approach, June 2026. Prepared on behalf of ALTO. Source of the 2019 calibration, the $24.4 billion figure, the 1.1 per cent of 2019 GDP statement (page 13), the $14.8B–$41.0B range, the channel breakdown, and the productivity settings of 0.02, 0.03 and 0.05. altotrain.ca (PDF)
    2.ALTO, “How Alto Will Reshape Canada’s Economy,” blog post, July 13, 2026. States the 1.1 per cent without the base year or range, and describes the commissioned report as independent. Links the Aviseo report. altotrain.ca
    3.CPCS, in association with HDR, Tourism in the Alto Corridor: Current Conditions and Potential Impacts, June 2026. Prepared for ALTO. Source of the three coordination scenarios, the per-city spending and GDP tables, the statement that the scenarios should not be interpreted as forecasts, and the finding on business spending declines. altotrain.ca (PDF)
    4.ALTO, “How High-Speed Rail Will Boost Tourism from Big Cities to Small Towns,” blog post, June 8, 2026. Reports the medium scenario only, and describes the scenarios as forecasts and tangible projections. Links the CPCS report. altotrain.ca
    5.ALTO, “Discover Alto’s Many Benefits,” project benefits page. Source of the “$24.5 billion in today’s value” phrasing and the construction and operational jobs figures. altotrain.ca
    6.ALTO, “Answering your questions.” Source of the $800 million annual tourism revenue claim. altotrain.ca
    7.Statistics Canada, Gross domestic product, income and expenditure, first quarter 2026, released May 29, 2026. Table 1 gives gross domestic product at market prices, seasonally adjusted at annual rates, of $3,321,588 million for the first quarter of 2026. Underlying series: Table 36-10-0103-01. Table 1  ·  Table 36-10-0103-01
    8.Rituparna Dutta Choudhury, “Canada’s Toronto–Québec City High-Speed Rail Could Unlock GDP Growth: What Others Are Missing About Alto’s Billion Dollar Economic Transformation,” Travel and Tour World, July 20, 2026. travelandtourworld.com
    9.ALTO HSR Citizen Research Initiative, ALTO Financial Analysis. Source of the benefit-cost ratio of approximately 0.11, the cost-per-kilometre model, and the achievable ridership frontier of 5 to 12 million annual trips against ALTO’s 24 million target. citizenresearch.ca
    10.ALTO HSR Citizen Research Initiative, Tourism Study brief, June 2026. Examines the scope of the CPCS study, including the exclusion of rural corridor regions. citizenresearch.ca
    11.Bent Flyvbjerg, on optimism bias and reference-class forecasting in the appraisal of large infrastructure projects.