Tag: sensitivity analysis

  • 3 claims 1 fare

    Three Claims, One Fare

    ALTO makes three promises about the high-speed railway. All three depend on one number it has never published — the price of a ticket.

    ALTO HSR Citizen Research Initiative · Fare and Ridership Note 1 · Published August 2026
    The argument in plain terms

    ALTO promises three things at once: that 24 million people a year will ride the new railway; that they will save 9.3 billion hours of travel time, worth $49.5 billion; and that ticket sales will cover the cost of running and maintaining the line. Each promise sits in a different part of the report, backed by different evidence.

    All three depend on one number the report never gives: the price of a ticket. Cheap tickets fill trains, which is what the first two promises need. Expensive tickets bring in the revenue the third promise needs. A fare cannot be cheap and expensive at the same time, so the three promises pull against one another.

    Work out the single fare at which all three could hold, and it comes to about 19 cents per kilometre travelled — roughly $83 for a typical 428-kilometre journey. At that price the railway breaks even only if 24 million people ride it, and 24 million people ride it only if the corridor is generating about 74 million intercity trips a year, by all modes. On ALTO’s own population figures, the corridor will generate about 34 million.

    So making all three promises at once means making a fourth one that is never stated: that by 2055 the corridor would have to be generating more than twice the intercity travel that ALTO’s own population figures produce. Nobody forecasts travel on that scale, and that is exactly the difficulty.

    ⚠ How to read the fares on this page

    Fares here are given per kilometre travelled, because that is how railway revenue is calculated. A passenger-kilometre is simply one traveller going one kilometre, so a fare of $0.15 per kilometre means a passenger pays 15 cents for every kilometre of their journey. Multiply by 428 km — the average journey — for a rough ticket price: $0.15 is about $64, $0.22 about $94, $0.28 about $120, and the $0.193 break-even fare about $83.

    Modal Shift Notes and O&M Notes, referred to throughout, are earlier papers in this series and are available at citizenresearch.ca.

    2.19×
    how much more intercity travel the corridor would have to generate for all three promises to hold: 73.9 million trips a year against 33.7 million forecast
    §6.1
    $0.193
    the only fare at which all three could hold — about $83 a journey. At that price the railway carries about 11 million riders, not 24 million
    §6.1
    63%
    the most of its running costs the railway can recover from fares at any price. Fares pay about 63 cents of every dollar; the rest comes from the public
    §8
    Download
    Three Claims, One Fare — Full Brief (PDF)
    The complete arithmetic, set out step by step, with every figure sourced so that any part of it can be checked or rejected

    Download PDF

    The Three Promises

    Three claims that are only ever made separately

    Where this comes from. ALTO is the company proposing the high-speed railway. In August 2026 it published a report, Canada’s Moment: The Economic Opportunity of High-Speed Rail, making the three claims set out below. This page is a plain-language version of an independent check of those claims against published population and travel data — in effect, a fact-check of ALTO’s report. Every step of the arithmetic is shown so that any part of it can be rejected.

    Three numbers do the persuasive work in ALTO’s report Canada’s Moment. They appear in different chapters, rest on different evidence, and are never set side by side. Put side by side, they turn out to want opposite things from the price of a ticket.

    The Promise What it needs the ticket price to do
    1. Ridership. 24 million passengers a year by 2055, rising after that. Be low. The cheaper the ticket, the more people ride — and for a family of three or more, driving already costs almost nothing extra.
    2. Economic benefit. 9.3 billion hours of travel time saved, worth $49.5 billion. Be low. Every benefit counted in the appraisal — time, car costs, safety, congestion, emissions — depends on how many people actually switch to the train.
    3. Paying its own way. “The railway pays for its own operations and maintenance.” Be high. Most of the cost of running the railway stays the same whether the trains are full or empty, so covering it depends on how much each passenger pays.

    The first two promises pull the fare down. The third pulls it up. That is not a criticism of high-speed rail; every high-speed railway ever built faces the same squeeze. The criticism is that the report presents all three as true at the same time without ever showing the fare that would deliver them.

    Why These Are One Promise

    Everything runs through the ticket price

    Picture a single dial: the price of a ticket. Turning that one dial moves all three of ALTO’s claims at the same time, because all three are calculated from it. Turn the price down and more people ride, which automatically raises the total hours saved, because total hours saved is just hours per person multiplied by the number of people. But turn the price down and each ticket brings in less money, so covering the railway’s costs gets harder. The three claims are not three separate discoveries. They are three readings taken off the same dial — and ALTO’s report never shows you the setting it used.

    The fare is not a detail to be settled later, once the business case is agreed. It is the number the business case turns on. It enters the arithmetic twice, pulling in opposite directions, and everything else follows automatically.

    1 — The fare sets how many people ride

    The fare sets how expensive the train is next to driving or flying, which sets the share of trips that choose rail. Apply that share to the total number of intercity trips in the corridor and you have annual ridership.

    2 — Ridership sets both the benefits and the revenue

    Riders multiplied by the length of the average journey gives total passenger-kilometres. That single quantity drives the hours saved and the ticket revenue. There is no way to improve one without damaging the other.

    3 — So the first two promises are the same promise

    If the hours saved per passenger are held at ALTO’s own figure, the economic benefit is simply the number of riders multiplied by a fixed amount. The $49.5 billion is the 24 million riders, restated in dollars. That leaves two propositions, not three: one about demand, one about covering costs.

    Three numbers agreeing is not three checks passing

    If one team checked ridership, another checked time savings and a third checked whether fares cover costs — each using its own method — and all three agreed, that would mean something. That is not what happens here. All three start from the same unpublished ticket price, so of course they agree. They are three shadows cast by the same object. They will always line up, and their lining up is no evidence that the object is the right shape.

    4 — And two propositions have one joint answer

    Two equations with two unknowns — the fare and the number of riders — will usually have a solution. The claims are not inconsistent with one another. The question is what that solution demands of the corridor.

    The Travel Market

    How much intercity travel there is to win

    The corridor’s total travel market is its population multiplied by the number of intercity trips each resident makes on the routes the railway would serve. Modal Shift Note 3 puts the 2025 corridor population at about 14.9 million across the cities directly served, growing at 1.0 per cent a year, and puts intercity travel at about 1.68 trips per resident per year.

    20.1M
    people living in the corridor in 2055, on the central growth path
    Modal Shift Note 3
    33.7M
    intercity trips a year in 2055, by every mode — car, air, bus and rail combined
    20.1M × 1.68 trips each
    71%
    the share of that entire market ALTO’s 24 million riders would represent
    24.0M ÷ 33.7M

    Seventy-one per cent of all intercity travel — car, air, bus and rail together — is a share no high-speed railway is known to have won. It is worth being precise about this, because the famous European figures look higher and are not the same measure. Roughly 75 per cent of Madrid–Barcelona travellers choose the train over the plane, and more than 80 per cent on Madrid–Seville; those are shares of the rail-and-air market, which excludes the car. Against a car that costs its driver almost nothing extra to fill, no comparable share of the whole market has been recorded. Nor is 71 per cent a forecast that fails at some fares and works at others. As the sections below show, no fare produces it.

    What Each Ticket Price Delivers

    Three realistic fare levels, and what each one buys

    Modal Shift Note 3 sets out three combinations of fare and subsidy spanning the realistic range of policy, and reports the share of the market each one wins. The dollar figures are this note’s translation of those descriptions into a fare per kilometre; Note 3 publishes no dollar figures, so the translation is an inference. Every figure below uses the version most favourable to the project.

    The Fare Level What it delivers
    A — Heavy subsidy. $0.15 per km (about $64 a journey). Fares held at today’s VIA Rail levels, with $2.5–4.5 billion a year of public money covering construction costs. 13.5 million riders a year — 38–42% of the market. $27.8 billion of benefit against the $49.5 billion claimed. Fares cover 54% of running costs.
    All three promises:Not met
    B — Moderate subsidy. $0.22 per km (about $94 a journey). Fares matched to airfares, with $1.5–2.5 billion a year of public money covering construction costs. The arrangement the published business case appears to assume. 10.1 million riders a year — 28–32% of the market. $20.9 billion of benefit. Fares cover 64% of running costs — the best result available at any price.
    All three promises:Not met
    C — Minimal subsidy. $0.28 per km (about $120 a journey). Fares set by a private operator to maximise revenue, above airfare levels, with $0.5–1.5 billion a year of residual public support. Closest to a commercially structured P3; ALTO has published no payment mechanism. 7.3 million riders a year — 20–23% of the market. $15.0 billion of benefit. Fares cover 63% of running costs.
    All three promises:Not met
    ALTO as published. No fare stated anywhere in the report. 24.0 million riders a year — 71% of the market. $49.5 billion of benefit. Fares cover 100% of running costs.
    Fare required to produce this:Never published

    Even on the most generous treatment — the heaviest subsidy, mature ridership rather than the slower build-up of the opening years, and ALTO’s own hours saved per passenger accepted exactly as published — the economic benefit is $27.8 billion, not $49.5 billion. That is a reduction of 44 per cent arising from the ridership side alone.

    Paying the Running Costs

    Why cheap tickets cannot fix the finances

    Think of a gym. It pays rent whether 10 people turn up or 1,000 — that cost is fixed. It also buys more towels and cleaning supplies as more people come — that cost varies with use. A railway works the same way, and the split matters more than it might sound.

    Running a railway costs money in two ways. Some costs stay the same however many people ride — track, structures, signalling, stations, head office, and buying the trains. Others grow with the number of trains you run. On ALTO’s own figures, spread over the life of the assets at its own 3.5 per cent rate, the fixed block is $1,130 million a year, and 61 per cent of the total cost does not move with ridership at all.

    That is why cutting fares to fill the trains does not fix the finances. It helps a little at first — more passengers spread across the same fixed cost — and then makes matters worse, because each extra passenger is paying less. Cost recovery does not simply improve as fares rise. It improves, peaks, and then falls back.

    Chart: economic benefit delivered and share of running costs covered by fares, at each fare. Neither of ALTO's two claims is ever reached.

    Figure 2. Neither promise is ever reached. The economic benefit delivered (navy, left axis) and the share of running costs covered by fares (rust, right axis), at each fare. The two gold lines are ALTO’s two claims. Benefit falls steadily as fares rise; cost recovery rises, peaks well short of covering everything, then falls away as riders drop off. The fare that comes closest to one claim is far from the other. The chart shows cost recovery as a ratio, so its peak of 0.63 is the 63 per cent described here, and the gold line at 1.00 is fares covering costs in full.

    The ceiling is about two-thirds

    The turning point sits at a fare near $0.26 per kilometre, where fares cover about 63 per cent of running costs. The best of the three published levels reaches 64 per cent. At no price in the corridor as forecast do fares cover the cost of running the railway. Fares pay about 63 cents of every dollar; the remaining 37 cents comes from the public, every year, forever.

    And the best fare for the finances is the worst for the benefits

    The fare that comes closest to paying for the railway delivers roughly $16 billion of the claimed $49.5 billion in benefits. The fare that comes closest to one promise is nowhere near the fare that delivers the other.

    Against the cost of building it, nothing reaches a dollar

    Construction of roughly $75 billion, spread across 2027–2037 and discounted at 3.5 per cent, is worth about $57 billion in today’s dollars. Measured against that, every dollar returns 49 cents of benefit at fare level A, 36 cents at level B and 26 cents at level C. ALTO’s own published benefits return 86 cents — and that failure is ALTO’s own arithmetic, not this note’s. None of these figures counts the operating shortfall above, which the public would have to fund on top.

    The Three Promises Joined Up

    There is exactly one answer, and it is about the corridor

    The obvious next step is to check the promises one at a time and report that none of them survives. That is true, and it is set out below. But it is the weaker exercise, because it invites the reply that the whole thing is merely a disagreement with three forecasts.

    A short detour, because the next step depends on it. Suppose you are told two things about a bag of marbles: it holds 18 marbles, and there are twice as many red ones as blue. Neither fact on its own tells you how many are red. Put them together and there is exactly one answer — 12 red and 6 blue. Two facts, each loose on its own, can lock onto a single exact answer once you require both to be true at the same time.

    The same move works on the railway. “24 million riders” is one fact. “Fares alone cover the running costs” is another. Neither tells you the ticket price by itself — plenty of low prices might draw 24 million riders, plenty of high ones might cover costs. Require both at the same price, and as with the marbles there is only one price where that is possible.

    The stronger exercise is to solve the two propositions together and ask what corridor would satisfy them. Covering costs fixes a relationship between the fare and the number of riders; so does the ridership promise. Two equations, two unknowns, one answer.

    The one fare, and the one market, that satisfy all three

    Covering 100 per cent of running costs at exactly 24 million riders requires a fare of $0.1935 per kilometre. At that fare the train wins 32.5 per cent of the market. For 32.5 per cent to equal 24 million riders, the corridor must be generating 73.9 million intercity trips a year. It is forecast to generate 33.7 million. The ratio is 2.19×.

    There is only one such point, and it is worth being clear about why. Above $0.193 the railway covers its costs but carries fewer than 24 million people; below it, it carries more but cannot pay for them. Only at $0.193 do the two meet, and where they meet is fixed by the size of the market. The three promises do not contradict each other. They contradict the corridor.

    That unstated assertion has a value, and it can be put in whichever units a reader finds easiest to judge:

    Expressed as Required by the three promises, against the forecast
    Intercity trips a year, all modes 73.9 million required, against 33.7 million forecast — 2.19×
    People living in the corridor in 2055 44.0 million required, against 20.1 million forecast — more people on the Toronto–Québec City axis alone than live in Canada today
    Intercity trips per resident, per year 3.68 required, against 1.68 — corridor residents travelling more than twice as often as the evidence supports, at a time when remote and hybrid working push the other way
    Annual population growth, 2025–2055 3.7 per cent a year sustained for three decades, against a central forecast of 1.0 per cent and a high forecast of 1.6

    Anyone wishing to defend all three promises therefore has exactly one thing to defend, and it is a claim about demand rather than about engineering or financing. Cheaper construction, faster trains and a different discount rate do not reach it. Only a larger travel market does.

    The Gap That Does Not Close

    No ticket price escapes the problem

    Within the corridor as forecast, is there some fare — between the three levels above, or beyond them — that escapes the problem? There is not, and the reason is structural rather than a matter of forecasting.

    Two things happen at once as the price goes up. The number of riders the railway needs in order to break even falls gently and steadily, like walking down a slope — each rider is worth more, so fewer are needed, but that effect fades out gradually. The number of riders available falls away sharply, because once the train costs about what driving costs, people stop switching to it very quickly. A gentle slope and a cliff do not meet.

    Put more precisely: raising the fare lowers the number of riders needed to break even, because each remaining passenger contributes more. But raising the fare also lowers the number of riders available, and it does so faster. The first effect tails off gradually. The second accelerates, because once the train loses its price advantage over a car that costs almost nothing extra to fill, passengers fall away sharply. The second effect always wins.

    Chart: the market share the railway needs to cover its costs, against the share it can win, at each fare. The two curves never meet.

    Figure 1. The two curves never meet at any fare. The rust curve is the share of the market the railway would need to cover its running costs; the solid navy curve is the share it can actually win. The shaded area between them is the gap. The dashed navy curve is the same demand curve in a corridor generating 2.19 times as much travel — it touches the rust curve at exactly one point, $0.193, and that point sits on the gold line marking the 71 per cent share ALTO’s 24-million forecast implies. The chart labels this share “capture”, and the fare “fare yield, dollars per passenger-kilometre”.
    At this fare Market share needed, against market share achievable
    $0.15 per km — fare level A
    about $64 a journey    		 Needs 117.7% of the entire intercity market. Can win 40%. The railway would have to carry more trips than exist in the corridor at all, across every mode, simply to cover its running costs.
    $0.22 per km — fare level B
    about $94 a journey    		 Needs 57.3%. Can win 30%.
    $0.28 per km — fare level C
    about $120 a journey    		 Needs 39.8%. Can win 21.5%. This is as close as the gap ever comes: 1.85×, at about $0.29.
    $0.40 per km
    about $171 a journey    		 Needs 24.7%. Can win 12.1%. The gap has started widening again as the ridership base collapses.

    Read the last figures as the size of the gap: at every fare, the railway needs between roughly twice and three times the market share it can actually win. There is no fare at which it closes.

    What Would Have To Change

    Fixing one promise at a time

    These are the terms a proponent is most likely to reply in. Three of the four turn out not to reach the joint answer at all.

    A larger travel market — reaches all three

    A corridor population of 34.0 million by 2055, or 2.85 trips per resident, brings 24 million riders within reach. Covering the running costs as well takes the 44.0 million of the joint answer. This is the only repair that reaches all three promises.

    Longer journeys — does not move ridership

    An average journey of 793–1,259 km, against the 428 km assumed — meaning essentially every passenger riding Toronto to Québec City end to end, and at fare level A a journey longer than the line itself. It would help cover costs. It puts nobody extra on a train.

    Lower running costs — covers costs only

    Running costs 37–46 per cent below the O&M Note estimates, with the fixed block down from $1,130 million to about $564 million. Again, nothing on the cost side puts passengers on trains.

    A stronger switch to rail — the same claim in different units

    The whole demand curve lifted by a factor of 2.19 at every fare. This is arithmetically identical to a bigger market, and equally a claim about demand.

    This is the asymmetry the brief turns on. Repairs on the cost side rescue the cost-covering promise and leave the ridership promise exactly where it was, because nothing on the cost side puts passengers on trains. Only a larger travel market reaches all three, and both routes to one — more people, or a greater willingness to switch — are the same claim in different units.

    Where Things Stand · August 2026

    Summary ledger

    Taking the promises one at a time, in the corridor as forecast, at every fare examined:

    Not met
    24 million riders a year. The ceiling across the whole fare range is 13.5 million. At the break-even fare of $0.193 it is about 11 million.
    Not met
    $49.5 billion in economic benefits. The ceiling is $27.8 billion, and that figure accepts ALTO’s own hours saved per passenger without challenge.
    Not met
    Fares cover the cost of running and maintaining the railway. The ceiling is 63–64 per cent, at any price, in the corridor as forecast.
    Robust
    The ceiling on cost recovery is the solid half of this finding. It sits inside the range of fares the modelling actually covers, and needs no projection beyond it.
    Softer
    The ceilings on riders and benefits involve projecting beyond the tested range at fares below $0.15, and a proponent is entitled to challenge them. The joint answer at $0.193 does not depend on any such projection.
    Answerable
    A proponent who accepts a 73.9-million-trip corridor is entitled to hold all three promises at once — and should be asked to say so plainly.

    The three promises are not logically inconsistent with one another, and this brief does not claim they are. There is a genuine joint answer. The difficulty is that the answer describes a corridor that does not exist — and that the fourth promise, the one about how much travel the corridor generates, is the only one ALTO has never had to defend, because it has never been stated.

    That distinction is not a technicality. A single claim that says “this project needs more than twice the travel demand anyone forecasts” invites immediate scrutiny. Three separately sourced numbers that merely happen to agree do not. Splitting one unproven assumption across three chapters is what allowed it to travel through public debate unchallenged — and catching that before tens of billions of public dollars are committed is the whole point of a review like this one.

    Download Full Brief
    Three Claims, One Fare (PDF)
    The complete arithmetic with every step shown, for anyone who wants to check or reject any part of it

    Download PDF

    Limits

    What this brief does not claim

    The translation of the three fare levels into dollars is an inference

    Modal Shift Note 3 defines the three levels by how much subsidy they need and how they compare with airfares, not in dollars per kilometre. The $0.15, $0.22 and $0.28 figures are this brief’s reading of what those descriptions imply. Anyone who rejects the reading should supply the fares the business case actually assumes — and the conclusion holds across the whole range of fares, not only at those three points.

    The 428-kilometre average journey is an assumption

    Carried over from revised O&M Note 3. It matters a great deal: revenue and hours saved both rise and fall with it.

    The construction cost figure is not ALTO’s

    The $75 billion is the midpoint of the $60–90 billion range used elsewhere in this series. ALTO publishes no comparable figure. The returns per dollar should be read as indicative, and they measure benefits against construction cost alone.

    Nothing here depends on the 9.3-billion-hour figure being correct

    It is held at ALTO’s own value throughout. If it is correct, the findings stand as stated. If it turns out to be overstated, the benefit column falls further still and every conclusion here becomes firmer, not weaker.

    The model of the train service is coarse

    A single 450-seat train type, uniformly 65 per cent full over a 1,000-kilometre corridor, is a simplification. A real railway would vary train length and frequency by section, which would cut the ridership-related costs somewhat when ridership is low. It would not touch the fixed costs, which is where the problem lies.

    Sources

    Primary documents and companion notes

    1.

    ALTO, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026. The 24-million ridership forecast, the 9.3 billion hours of travel time saved and the $49.5 billion total benefit figure at a 3.5 per cent discount rate.
    2.

    ALTO, Canada’s Moment, August 2026. The claim appears three times: in the chief executive’s foreword, where revenues are expected to cover all operating and maintenance costs and to offset the ongoing public subsidies conventional passenger rail has historically required; in the executive summary, where operating revenues are expected to fully cover operating and maintenance costs, transitioning passenger rail from a publicly subsidised service to a commercially viable operation; and in the financial chapter, where the project is expected to operate on a self-sustaining basis. The same chapter distinguishes day-to-day operating costs from initial capital investment and lifecycle costs, and states that revenues do not cover all costs once those are included — the distinction examined in revised O&M Note 3, which finds the claim true for day-to-day operations alone, marginal once renewals are included, and failing once the trains themselves have to be replaced.
    3.

    Modal Shift Note 3 — corridor population, starting point and growth path; intercity trips per resident. The 1.68 figure is the 2025 baseline; the working range is 1.6–1.8. Using 1.68 is marginally conservative against this brief’s own conclusion.
    4.

    Modal Shift Note 3 — market shares of 38–42, 28–32 and 20–23 per cent for the three fare levels, which Note 3 calls Regimes A, B and C.
    5.

    Revised O&M Note 3 — infrastructure $1,016M, operations $700M and fleet $127M a year, spread over the life of the assets at 3.5 per cent real; the fixed and variable split giving $1,130M fixed and $8.91M for each train per day.
    6.

    Statistics Canada, The Daily, 17 June 2026 — Canada’s total population estimated at 41,417,056 on 1 April 2026, a decrease of 55,025 over the preceding quarter.
    7.

    Fare levels, service assumptions and the joint solution are set out in full in the PDF brief, including the two equations solved simultaneously in §6.1.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Fare and Ridership Note 1  ·  August 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor. All figures are reconstructions from published sources and companion notes in this series; the arithmetic is set out in full so that any step can be checked or rejected. Corrections welcome.

  • At face value

    At Face Value

    Five numbers from ALTO’s economic report are now in wide circulation. Each one is either the top of a range or the middle of one. In every case the range exists. In every case it was not printed.

    ALTO HSR Citizen Research Initiative · Economic Claims Brief · Published August 2026
    ⚠ The numbers you will hear

    $49.5 billion in benefits · $24.5 billion in added GDP · 1.1 per cent of Canada’s economy · 50,000 jobs · 24 million riders a year

    None of these figures is invented. Every one comes from real modelling work by real economists, and each is accurate on its own terms. But each describes something narrower, or more conditional, than it sounds — and in every case the report prints one number where the work behind it reports a range.

    Critical Finding

    $49.5 billion is labelled an upper estimate — the good end of a range whose other end is nowhere in the document. $24.5 billion is a central estimate from a range its own modeller published as $14.8 billion to $41.0 billion. 24 million riders is prefixed “up to.” 50,000 jobs sits in a table headed “upper estimate” — and ALTO’s own appendix states those figures are not net economic gains.

    Meanwhile the report declines to publish a benefit-cost ratio — the single number that would tell you whether the benefits exceed the costs.

    The point of this brief is not that ALTO’s numbers are wrong. It is that they are being used as though they were settled, when the documents behind them show they are not.

    The document under examination
    Canada’s Moment: The Economic Opportunity of High-Speed Rail
    ALTO, August 2026 — 83 pages. All figures on this page are from that report or the studies it commissioned.
    Read ALTO’s report
    Number One

    “$49.5 billion in benefits”

    What you’ll hearWhat it actually is
    ALTO delivers $49.5 billion in benefits to Canadians. The upper estimate of benefits, added up over 60 years, adjusted downward for the fact that most of them arrive decades from now. Nearly four-fifths of it is saved travel time.
    In plain language — what “discounted” means

    Economists assume a benefit arriving in 2085 is worth less to us today than the same benefit arriving next year — the same reason $100 now beats $100 in twenty years. So future benefits get shrunk before they are added up. This is standard, required, and correct.

    It also does a great deal of work here, and the Initiative’s brief Hours Are Not Dollars sets it out in full. The report says ALTO saves 9.3 billion hours of travel time, and values an hour at $22.32. Multiply those together and you get $207.6 billion. The figure that appears in the benefit table is $38.4 billion. Discounting removes about 82 per cent of the face value, because most of those hours are saved by people who have not been born yet.

    In plain language — what “upper estimate” means

    The benefit table is headed “upper estimate.” Every narrative figure is prefixed “up to” — up to 24 million riders, up to 9.3 billion hours, up to 400 lives saved. An upper estimate is one end of a range. The other end does not appear anywhere in the 83 pages.

    There is one more thing about this number worth knowing. The report opens by making traffic congestion the problem — Highway 401, Pearson airport, journeys that are too slow and too unreliable. In the benefit table, easing congestion is worth $570 million out of $49.5 billion: about 1.2 per cent. Cleaner air is worth $27 million, roughly one part in two thousand.

    The problem the report leads with and the benefit the report counts are almost entirely different things.

    Number Two

    “$24.5 billion in added GDP”

    What you’ll hearWhat it actually is
    ALTO adds $24.5 billion to the Canadian economy. The middle of a range running from $14.8 billion to $41.0 billion, produced by a different model, in a different year’s dollars, and measured as an annual figure rather than a 60-year total.
    Can it be added to the $49.5 billion? No — the report says so on page 9

    The Initiative examined this figure in detail in Two Point Two Trillion. It is the number ALTO’s website states most confidently: the analysis “concludes that Alto will permanently uplift Canada’s GDP by 1.1%.” The study behind it is more careful, and it publishes its range.

    $14.8B
    the low end of the modeller’s published range
    Aviseo, Table 1
    $24.4B
    the baseline — the only figure that reached the public
    Aviseo, Table 1
    $41.0B
    the high end — nearly three times the low end
    Aviseo, Table 1
    In plain language — where this number comes from

    It comes from a computable general equilibrium model — a simulation of the whole Canadian economy that works out what happens to wages, prices, trade and output when you change one thing. These are legitimate, widely used tools. Governments run them all the time.

    The thing being changed here is a single assumption: that firms in Toronto, Montréal, Ottawa and Québec City become three per cent more productive because the train exists. That one assumption produces $21 billion of the $24.4 billion — 86 per cent of the total.

    In plain language — how three per cent was chosen

    The modellers say so openly, and deserve credit for it. Studies in Germany and Sweden found productivity gains of two to four per cent. So, they write, “it seems reasonable to consider a baseline scenario” of three per cent.

    They also tested two per cent and five per cent. Two per cent gives the $14.8 billion; five per cent gives the $41.0 billion. There is no scenario in which the productivity gain fails to appear at all — even the pessimistic case assumes a two per cent uplift across four city economies.

    One further detail. Because nobody yet knows where the stations will go, the modellers applied that productivity boost to the entire metropolitan areas of Toronto, Montréal, Ottawa and Québec City — standing in for the 30-kilometre radius around a station that the research actually supports. Peterborough, Laval, Trois-Rivières and Kingston appear nowhere in that calculation.

    Number Three

    “1.1 per cent of Canada’s GDP”

    What you’ll hearWhat it actually is
    ALTO raises Canada’s GDP by 1.1 per cent. 1.1 per cent of the Canadian economy as it was in 2019 — the last pre-pandemic year, used because 2020 and 2021 were distorted.

    The modeller says this plainly: the gain is “roughly 1.1% of Canada’s 2019 GDP.” Canada’s Moment drops the year. The website drops the year and adds the word “will.”

    Taken across the published range rather than the midpoint, the same calculation gives roughly 0.6 per cent at the low end and 1.8 per cent at the high end. One of those three numbers is in circulation.

    Number Four

    “50,000 jobs and $86 billion”

    What you’ll hearWhat ALTO’s own appendix says
    Building ALTO creates 50,000 jobs and adds $86 billion to GDP. These figures “represent spending-supported economic activity rather than net economic gains” and are “therefore not included in the benefit-cost ratio.”
    In plain language — why jobs numbers are not benefits

    If you spend $60 billion on anything — a railway, a bridge, a very large hole — people get paid to do it, and those people spend their wages locally. Counting that as a benefit of the project would mean any spending is a benefit, which cannot be right: the money had to come from somewhere, and would have employed someone else.

    ALTO’s appendix says this outright, and adds that the model used “does not account for potential constraints in the economy, such as labour shortages or capacity limits.” Most promoters present numbers like these as benefits and say nothing. ALTO explicitly refuses to — on page 80. The 50,000 jobs appear on page 5.

    The caveat is genuine and creditable. It sits in an appendix seventy-five pages behind the figure it qualifies, and it has not travelled with the number. The Initiative examines this figure in full in Where Do 50,000 Jobs Come From?, which rebuilds it from the annual spending and workforce figures HS2 and the Réseau express métropolitain both publish, and finds that roughly 18,000 of the 50,000 are people working on the railway.

    Number Five

    “24 million riders a year”

    What you’ll hearWhat it actually is
    ALTO will carry 24 million passengers a year. “Up to” 24 million a year by 2055 — the output of scenarios and sensitivity tests whose range the report describes but does not show.

    ALTO’s own methodology appendix explains exactly what it should have published. Sensitivity testing, it says, gives decision-makers “a range of plausible outcomes rather than relying on a single forecast.” The flowchart’s stated output is “a range of plausible ridership outcomes.”

    The report then prints one number.

    That number matters more than it looks, because four of the seven benefit lines depend on it — car running costs, road safety, congestion and greenhouse gases all flow from an estimate of 90.1 billion kilometres of driving avoided. And how much driving is avoided depends on who the new passengers are. Someone who switches from a car takes kilometres off the road. Someone who switches from a plane takes none. Someone making a brand new trip takes none. That breakdown is published nowhere.

    And One Number That Is Missing

    There is no benefit-cost ratio

    The standard test of whether a public investment is worth making is simple: divide the benefits by the costs. Above one, it pays. Below one, it does not.

    Canada’s Moment does not publish that number. Page 62 explains why: the cost estimate is too early-stage for the ratio to be meaningful. The same absence runs through ALTO’s public benefits page, examined in Many Benefits, One Missing Number.

    In plain language — what the cited manual says about early-stage uncertainty

    ALTO names a Metrolinx appraisal manual as the authority for two of its key figures — the subject of It Left the Rules Behind. That manual treats early-stage uncertainty as the reason to test and publish ranges — not as a reason to withhold them. Its instruction for the earliest project stage is to conduct sensitivity testing to understand the level of uncertainty.

    The same manual also requires early-stage rail costs to be marked up by 64 per cent before being compared with benefits, because rail megaprojects are systematically undercosted. That would put ALTO’s $60–90 billion into the comparison at roughly $98–148 billion. No such uplift is applied, and the concept is not mentioned.

    So the report does not divide the benefits by the costs, while placing $49.5 billion in benefits and $60–90 billion in costs on the same spread.

    It has been done before — on this corridor, at this stage

    In December 2021 the Joint Project Office — a body formed by VIA Rail Canada and the Canada Infrastructure Bank — completed a business case for High Frequency Rail, the slower and cheaper predecessor to ALTO along the same corridor. It was at a comparable point in its development.

    That document published a benefit-cost ratio.

    Project
    High Frequency Rail — the same Toronto–Québec City corridor, at a comparable stage of design
    Capital cost
    $27.71 billion in 2020 prices
    Benefit-cost ratio
    Approximately 0.13 — rising to about 0.4 on an expanded basis that also counts agglomeration effects and a resource correction
    Net present value
    −$21.1 billion over thirty years
    Public subsidy
    $37.1 to $42.2 billion over thirty years, under the delivery models assessed
    Parameters
    Drawn from Metrolinx and Ministère des Transports du Québec guidance — the same two sources Canada’s Moment cites five years later

    It was not published at the time. It became public in November 2025, when the Canada Infrastructure Bank released it under the Access to Information Act — almost four years after it was written.

    In plain language — what a ratio of 0.13 means

    A benefit-cost ratio of 1.00 means a project returns exactly what it costs. Above 1.00 it pays for itself in economic terms; below 1.00 it does not.

    A ratio of 0.13 means that for every dollar spent, about thirteen cents of measurable benefit came back. On the wider basis, which counts effects that are harder to measure, about forty cents. The Joint Project Office published those figures anyway, alongside the subsidy the project would need.

    Read this part carefully — these are not ALTO’s numbers

    0.13 is not ALTO’s ratio, and it is not an estimate of ALTO’s ratio. High Frequency Rail was a different project: slower, at $27.71 billion rather than $60–90 billion, assessed over thirty years rather than sixty. The Joint Project Office described its own results as preliminary. None of its figures transfers to ALTO by arithmetic, and this brief does not offer them as a forecast of anything.

    What the document establishes is narrower, and harder to answer: a benefit-cost ratio can be produced for a project on this corridor at this stage of design — because one was. Immaturity did not prevent it then, on a cost estimate roughly a third the size.

    There is one further detail worth recording. The same document, released under a different access request, comes back with one section withheld in full, the capital cost and revenue sentences cut off mid-clause, and the subsection headings of its Economic Case not shown in the table of contents. No exemption provision is marked against any of these.

    What Cannot Be Checked At All

    The benefit table cannot be audited by a reader

    Each row of the main benefit table gives you a quantity and a dollar value. The natural thing to do is divide one by the other and see what price has been put on an hour, a tonne of carbon, or a life. You cannot.

    The dollar figures are discounted. The quantities are not. And the prices that would connect them are referenced by source but never stated — only the $22.32 hourly value appears anywhere.

    One row does not appear to add up at all. The report says ALTO avoids up to 400 deaths and 26,000 injuries, valued at $610 million. Working backwards, that is roughly $1.2 billion before the time adjustment — which 26,000 injuries alone would exhaust at $50,000 each, a low figure by Canadian standards, leaving nothing for the 400 lives. Either the casualty counts and the money cover different periods, or the values placed on a life and an injury are far below what Canadian governments normally use. The report does not publish enough to say which.

    The Takeaway

    The same thing has happened to every number

    Top of a range
    $49.5 billion in benefits — the table is headed “upper estimate”; the lower estimate is nowhere in the document.
    Middle of a range
    $24.5 billion in GDP — the modeller published $14.8 billion to $41.0 billion. Only the midpoint travelled.
    Top of a range
    24 million riders — prefixed “up to,” from a process whose stated purpose is to produce a range.
    Top of a range
    50,000 jobs — in a table headed “upper estimate,” for figures the appendix says are not net gains.
    Not published
    The benefit-cost ratio — the one number that would put the others in proportion. The last time one was produced for this corridor, it took an access-to-information request to see it.

    This is the finding. Not that any figure is fabricated — none is. Not that the modelling is incompetent — the underlying studies are careful, and say so about their own limits. But wherever the underlying work reported a range, the document carries a single figure from the optimistic end of it, and it is that single figure which has reached councils, newspapers and the public.

    The ranges are not secret. Most of them are in ALTO’s own commissioned studies, sitting on ALTO’s own research page. They simply did not make it into the document that everyone reads.

    None of these figures should be repeated at face value, in either direction. They are the optimistic end of work that its own authors describe as uncertain — and anyone quoting them, for or against the project, should say which end of the range they are quoting.

    In Fairness

    What this brief is not saying

    Credit where it is owed

    The modellers were transparentThe economic study behind the GDP figure publishes its full range, states its assumptions, and explains how each was chosen. This brief is only possible because that work was published.
    ALTO refuses a claim it could have madeIts appendix states that the construction jobs and spending figures are not net economic benefits — a caveat most promoters simply omit.
    Some choices are genuinely cautiousThe value of an hour is held flat for 60 years rather than rising with incomes, which lowers the benefit total substantially. Safety benefits are capped after 20 years.

    And the limits of what we show

    Some arithmetic here is oursEvery figure attributed to ALTO, Aviseo, Metrolinx, the Joint Project Office or Transport Canada is quoted from the source listed below and can be checked there. Everything else is our own calculation from those published inputs: the $207.6 billion undiscounted time total, the 82 per cent that discounting removes, the 0.6 and 1.8 per cent at the ends of the GDP range, the $98–148 billion uplifted cost, and the casualty reconciliation. The reconciliations use assumptions about timing that ALTO does not disclose. They show the numbers cannot be reproduced from what is published — not that they are wrong.
    This is about disclosure, not competenceThe underlying modelling may be entirely sound. The objection is that a reader cannot tell, because the working is not shown.
    We do not say whyWhere a range or a caveat does not appear in the report, this page says so rather than inferring it. It makes no claim about why any particular figure was or was not published.
    A range is not a refutationThat the GDP figure could be $14.8 billion does not mean it will be. It equally could be $41.0 billion. The point is that one number is being presented as though the others do not exist.
    What To Ask

    Five questions for anyone quoting these figures

    1. Is that the top of the range, or the middle?

    For four of the five headline numbers, it is one or the other.

    2. What is the lower estimate?

    The benefit table is explicitly labelled an upper bound. Every range has another end.

    3. What is the benefit-cost ratio?

    Not published. It is the number that puts every other number in proportion — and one was produced for this corridor in 2021, so “too early” is a choice rather than a constraint.

    4. What price was put on a life, or a tonne of carbon?

    Referenced by source, never stated. Without them, no line of the benefit table can be checked.

    5. Where do the new passengers come from?

    Cars, planes, existing trains, or trips that would never have happened? A fifth of the benefits depend on the answer.

    Sources

    Primary documents

    1.
    ALTO, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026, 83 pp. Benefit table and value of time at p. 72; cost-benefit methodology at p. 73; GDP table and its “central estimate” note at p. 75; the roughly 100 simulations at p. 78; input-output caveat at p. 80; construction figures at Table A4, p. 81; ridership methodology at pp. 81–83; benefit-cost ratio at p. 62; non-additivity of the models at p. 9. altotrain.ca (PDF)
    2.
    Aviseo Conseil, An Overview of the Structural Economic Impacts of Alto: Computable General Equilibrium Modelling Approach, June 2026, 25 pp. Prepared on behalf of Alto. Published range at Table 1; productivity scenarios at Shock 1; labour-supply scenarios at Shock 2; geography assumption at p. 10. Available on ALTO’s research page.
    3.
    Metrolinx, Business Case Manual Volume 2: Guidance, August 2021, 222 pp. Cited by ALTO as the source of its discount rate and value of time. Sensitivity requirements at pp. 87–89; optimism-bias uplift at pp. 90–94; economic parameters at Table 5.8, p. 98.
    4.
    Joint Project Office (VIA Rail Canada and the Canada Infrastructure Bank), High Frequency Rail Project: Business Case Update, V.002, 10 December 2021, 150 pp. Released by the Canada Infrastructure Bank under the Access to Information Act, November 2025. Capital cost at p. 7; benefit-cost ratio, net present value and subsidy comparison at p. 8; appraisal parameters sourced to Metrolinx and MTQ guidance at p. 40; impact results and both ratios at Table 14, p. 43. The same document released as Annexe A to access request 22-2207 withholds section 9.7 in full, truncates the capital cost and revenue sentences mid-clause, and withholds the subsection headings of the Economic Case within its table of contents, with no exemption provisions marked.
    5.
    Transport Canada, Statistics on the social costs of collisions in Canada, and the underlying Ontario social cost model — used here as the comparison for standard Canadian casualty valuations. ALTO does not cite these and may have used others.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Economic Claims Brief  ·  August 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • It left the rules behind

    ALTO Used the Rulebook’s Numbers. It Left the Rules Behind.

    ALTO’s new economic report takes two key figures from an Ontario appraisal manual and names that manual as its source. The manual attaches conditions to those figures. The report uses the figures and leaves the conditions out.

    ALTO HSR Citizen Research Initiative · Economics Brief · Published August 2026 · Plain-language version of the research brief Two Parameters, None of the Conditions · Companion explainer: Hours Are Not Dollars
    ⚠ The Document Under Examination

    In August 2026 ALTO published Canada’s Moment: The Economic Opportunity of High-Speed Rail, an 83-page report setting out the economic case for the Toronto–Québec City high-speed rail corridor. Its central figure is $49.5 billion in benefits to travellers and society, set against a construction cost of $60 to $90 billion.

    To turn sixty years of future benefits into one number in today’s dollars, the report needs two things: a rate at which to shrink future benefits back to present value, and a price for an hour of a traveller’s time. For both, it names one source — a public appraisal manual published by Metrolinx, the Government of Ontario’s transit agency for the Toronto and Hamilton region.

    Critical Finding

    The Metrolinx manual does not simply publish those two numbers. It publishes them as part of a package. For any project over $500 million, the same manual requires that the numbers be re-tested at different values, that results be reported as a range rather than a single figure, that early-stage construction costs be topped up to correct for known optimism, and that the project’s benefit-to-cost ratio be published. ALTO’s project is roughly a hundred times larger than that threshold.

    None of those requirements appears in ALTO’s report. There is no test of the discount rate, no range around the $49.5 billion, no optimism adjustment to the cost, and no benefit-cost ratio. The two numbers were carried across. The conditions attached to them were not.

    This brief does not argue that ALTO used the wrong discount rate. The rate it used is a mainstream, defensible choice. The finding is narrower and, we think, harder to answer: the report presents a set of choices as though they were simply facts, and a reader has no way of knowing that anything was chosen at all.

    Download
    Two Parameters, None of the Conditions — Full Brief (PDF)
    Full research brief with page references, parameter tables, and sources
    Download PDF
    Start Here

    Why this matters

    Imagine a builder quotes you a price for an extension. Asked where the figures come from, they name the standard industry pricing guide. That guide does set those rates. It also says that on a job this size the quote must show a high and a low figure rather than a single number, must add a fixed percentage on top because early quotes are almost always too low, and must set the total against the value of what you are getting.

    The builder uses the guide’s rates and does none of the rest. The quote may well be sound. You have no way of telling — and nothing on the page tells you that anything was left out.

    That is the situation this brief describes. ALTO’s economic report takes two figures from a public appraisal manual and names that manual as its source. The same manual attaches a set of mandatory checks to those figures for projects of this size. The figures were used. The checks are absent, and their absence is not disclosed.

    It matters because of what rests on the result. The $49.5 billion benefit figure is the number now appearing in news coverage and public statements as the reason to build a railway costing $60 to $90 billion of public money, ahead of a federal decision in 2029. Presented as a single figure with no range, it reads as something measured. The report’s own tables call it an upper estimate.

    What the report gives you

    One benefit figure, $49.5 billion, built on a rate and an hourly value of time presented without explanation of where they came from or what else was possible. No range. No benefit-to-cost ratio.

    What its own cited source requires

    The same figures re-tested at different values, results published as a range with a confidence level, a 64 per cent top-up on early-stage construction costs, and the benefit-to-cost ratio reported.

    What that leaves a reader with

    No way to judge how firm the headline number is — and no indication in the document that this is a question worth asking.

    One thing this brief does not do: argue that the numbers ALTO chose are wrong, or that high-speed rail is a bad idea. The rate it used is a mainstream choice, and the one test the manual requires would, if anything, make the benefits look larger. The ask is simply that the tests be run and published, as the cited manual says they must be.

    The Two Numbers

    What the report borrowed, and from where

    3.5%
    the discount rate ALTO uses, taken from the Metrolinx manual
    Appendix A, footnote 65
    $22.32
    the value of one hour of a traveller’s time, the same figure for every trip
    justified as following Metrolinx method
    64%
    the top-up the same manual requires on construction costs at this stage of design
    not applied in the report

    The discount rate. A benefit that arrives in 2085 is not worth as much to us today as the same benefit next year. Economists handle this by shrinking future amounts back to a present-day value at a fixed annual percentage — the discount rate. ALTO uses 3.5 per cent a year, applied over a sixty-year period. The rate matters enormously: over sixty years, small changes to it move the headline benefit figure by billions.

    The value of time. Most of the $49.5 billion is not cash. It is hours — time that travellers would otherwise have spent on the road or waiting at an airport. To put a dollar figure on those hours, you have to decide what an hour is worth. ALTO uses $22.32, and applies the same figure to every trip: business or holiday, commuter or tourist. The report tells us its own ridership model did separate business from non-business travel, and that this distinction was set aside in favour of one blended figure.

    Where both come from. The footnote attached to the discount rate cites one document and one only: the Business Case Manual Volume 2: Guidance, published by Metrolinx in August 2021. The single blended value of time is defended on the grounds that it follows Metrolinx method. So a manual written for regional transit projects in the Toronto and Hamilton area is the published authority for how a national intercity railway has been appraised.

    Metrolinx guidance is not binding on a federal Crown corporation, and nothing here suggests otherwise. But a citation carries the terms of the thing cited. If you name a manual as your authority, it is fair to look at what else that manual says on the same page.

    The Manual’s Own Terms

    The numbers come as a set, not a menu

    The 3.5 per cent rate appears in a table of standard parameters. The text introducing that table is direct about their status: any departure from them has to be explicitly agreed during the work, with a clear justification recorded. It is a list of defaults you may leave, provided you say so. Below is how each of those defaults is treated in ALTO’s report.

    What the Metrolinx manual specifiesWhat ALTO’s report does
    Discount rate: 3.5 per cent. The rate at which future benefits are shrunk to present value.3.5 per cent. Adopted exactly as specified, and correctly footnoted to the manual.
    Status:Carried across
    Value of time: one blended figure. A single hourly value across all modes and all trip purposes, rather than separate values for business and leisure travel.One blended figure, $22.32. Adopted, and expressly justified by reference to the manual — in preference to the business and non-business split that ALTO’s own ridership model had already produced.
    Status:Carried across
    Growth cap: stop escalating benefits 30 years out. The manual caps growth in the inputs thirty years after the base year, expressly to reflect the fact that nobody can see that far ahead. User benefits are named as covered by the cap.Applied to two small lines, not the big one. Accident rates are capped after twenty years, and vehicle emission factors run to 2050. No cap is stated on travel-time benefits — which are 78 per cent of the total.
    Status:Applied selectively
    One price year throughout. All values discounted and escalated to a single common year, fixed at the start of the study, so that every figure in the document is in the same money.Two price years in one report. The appraisal and the capital cost are in 2024 dollars; the economy-wide GDP result is in 2019 dollars.
    Status:Not consistent
    Test the value of time at 0.75 per cent real growth. The manual’s base case assumes the value of an hour does not rise in real terms — but pairs that assumption with a required test of what happens if it does.Zero growth assumed; no test run. The assumption was carried across. The test that the manual attaches to the assumption was not.
    Status:Left behind

    One footnote on the money. Adjusting the manual’s 2021 value of time for inflation to 2024 gives roughly $21.40 — within a few per cent of ALTO’s $22.32. We are not claiming ALTO derived its figure that way, and ALTO does not say how it did. The point is simply that the figure sits where you would expect a Metrolinx-derived figure to sit, which makes the omission of the accompanying test harder to explain as an oversight.

    The Missing Tests

    What a project this size is supposed to publish

    The Metrolinx manual scales its requirements to the size of the project. Anything above $500 million is treated as large scale, and a specific list of tests and disclosures becomes mandatory. ALTO’s cost estimate is $60 to $90 billion — roughly a hundred times that threshold. Here is that list, and where each item stands in ALTO’s report.

    Re-run the numbers at a different discount rate

    The manual requires the calculation be repeated at 2.5 per cent so the reader can see how sensitive the answer is to the rate. Not done, and not mentioned. Note the direction here: the required test is at a lower rate, which would make the benefits look larger. Nothing in the manual supports an argument that ALTO’s rate is too generous. What it supports is the narrower point that the manual’s author expects the rate to be tested and the test to be shown.

    Re-run the numbers with a rising value of time

    Required at 0.75 per cent real growth per year. Not done.

    Run the costs and assumptions through a range analysis

    The manual requires costs and modelling assumptions be run thousands of times with the inputs varied, and the result reported as a range with a stated confidence level. Not done.

    Report the odds that the project is worth doing

    The manual asks specifically for the probability that benefits exceed costs. Not reported — the report publishes no benefit-cost ratio at all.

    Publish the standard indicators

    Net present value, benefit-cost ratio, capital utilisation, return on investment, internal rate of return. None published.

    Model low, medium and high growth scenarios

    Required, with the ridership growth rate stated for each. A ridership range is shown; the underlying growth scenarios are not stated.

    This is not a theoretical requirement

    The manual works the method through on a real example: an extension of the Yonge subway line in Toronto, at an early stage of design. A single cost estimate of $5.65 billion becomes a range of $6.16 to $6.84 billion, with the confidence level attached. The reader is shown a central figure, a spread, and how sure anyone is about it.

    That project is roughly one per cent the size of ALTO. On uncertainty, the manual ALTO cites tells its reader more about a subway extension than ALTO’s report tells its reader about a national railway.

    The Missing Lower Number

    The report concedes a range it never publishes

    The two tables carrying the entire $49.5 billion case are both headed with the words upper estimate. Every figure in the narrative is prefixed the same way: up to 24 million riders, up to 9.3 billion hours saved, up to 400 fatalities avoided, up to 39.1 million tonnes of emissions.

    An upper estimate is one end of a range. The other end does not appear anywhere in the document.

    The claim built on top of those figures goes further still. The report states that the benefits hold across a wide range of scenarios, and repeats the point in its conclusion. But demonstrating that a result holds across a range of scenarios is exactly what the missing sensitivity analysis does, and exactly what the cited manual requires be reported at this scale. The scenarios may well have been run. Their results are not shown.

    And the report clearly knows how to show them. Elsewhere in the same document, the ridership forecast comes with multiple scenarios and a published band around it. The economy-wide GDP figure rests on nearly a hundred separate model runs with the assumptions varied. Between a tested input and a tested output sits the largest single number in the report, presented as a single column of point estimates.

    The Optimism Adjustment

    A top-up the manual requires, and the report does not mention

    Early cost estimates for big infrastructure projects are, as a matter of record, too low. Not occasionally — routinely. The Metrolinx manual is explicit about the evidence behind this: in an international sample of 258 rail projects, ninety per cent were undercosted, by an average of forty-five per cent.

    The manual’s response is a mandatory top-up applied to the construction cost when it is compared with benefits, over and above whatever contingency is already in the estimate. The size of the top-up depends on how far the design has progressed. At the earliest stage — nought to ten per cent designed — it is 64 per cent.

    ALTO’s cost estimate is described in its own report as an AACE Class 5 estimate, which is the earliest and least developed class there is. Applied as the manual directs, a cost of $60 to $90 billion would enter the comparison at roughly $98 to $148 billion, before any comparison with benefits is attempted. That range is our own arithmetic on ALTO’s published estimate at the manual’s stated uplift; ALTO publishes no uplifted figure.

    The report applies no such adjustment and does not mention the concept. It is worth noting where this reasoning comes from: the manual grounds the adjustment in the research on transport megaproject cost overruns that this Initiative has drawn on since its first publication. That reasoning is already embedded in the appraisal manual ALTO chose to cite.

    The Central Inversion

    Too early to divide, but not too early to multiply

    The report declines to publish a benefit-cost ratio — benefits divided by costs, the single number a reader would most want. Its stated reason is that the cost estimate is too immature to support one.

    Under the framework ALTO cites, that reasoning runs backwards. The manual sets out what is required at each stage of a project’s life. At the earliest stage, the very stage ALTO is at, the requirement is a single line: conduct sensitivity testing to understand the key drivers and the level of uncertainty in each option.

    Early-stage uncertainty is not an exemption from testing. It is the reason testing is required. The report treats it the other way round: immaturity on the cost side is given as grounds for publishing nothing, while single-point figures are published on the benefit side of the same ledger. The same uncertainty is treated as decisive for one number and immaterial for the other.

    And a business case for this corridor has already done it. In December 2021 the Joint Project Office — VIA Rail and the Canada Infrastructure Bank — published a benefit-cost ratio for High Frequency Rail, the cheaper predecessor to ALTO, at a comparable stage of development: about 0.13, or roughly 0.4 on an expanded basis counting fare revenue and agglomeration as benefits. It published a net present value of minus $21.1 billion and a thirty-year public subsidy of $37.1 to $42.2 billion alongside it. Its economic parameters were drawn from Metrolinx and Ministère des Transports du Québec guidance — the same two sources ALTO cites. Immaturity did not prevent a ratio then. The companion explainer Hours Are Not Dollars sets out those figures in full, including why 0.13 rather than 0.4 is the anchor.

    A related point arises elsewhere in the report. In explaining why one set of results is excluded from the welfare account, it refers to those results as therefore not being included in the benefit-cost ratio — speaking of it as a thing with a settled boundary about what enters it. One page says a meaningful ratio cannot yet be produced. Another treats the ratio as already drawn up. The two are difficult to read together, and the report does not reconcile them.

    Limits of This Analysis

    What this brief does not say

    Stated here rather than left for others to find.

    On the analysis

    The rate is not wrong3.5 per cent is a defensible choice, used by the United Kingdom Treasury and by Metrolinx, and well supported for long-horizon public investment. This brief does not argue that ALTO’s rate is too low or too high.
    Metrolinx does not bind ALTOA provincial agency’s manual has no legal force over a federal Crown corporation. The argument is about the coherence of a citation, not about jurisdiction.
    One choice runs in ALTO’s favourThe 3.5 per cent rate is applied flat across sixty years. The UK Treasury, whose Social Time Preference Rate this figure matches, steps its rate down to 3.0 per cent after year 30. Applying that schedule would have made ALTO’s benefit total larger, not smaller.
    One cited source was not reviewedGuidance from the Ministère des Transports du Québec is cited separately for the value of time. The Initiative has not reviewed it and takes no position on what it requires.

    On the report and its source

    The report does apply conservatism in placesAccident reductions are capped after twenty years, and car emission factors are assumed to improve to 2050, which the report notes limits the emissions benefit. These are the two smallest monetised lines. No equivalent constraint is disclosed for travel time, which is 78 per cent of the total.
    The manual itself is datedMetrolinx said in 2021 that a revised version with updated values would follow in 2022. Five years on, it has not. That is a limitation of the source document, not a fault of ALTO’s — but a reader assessing where a federal appraisal input came from is entitled to know it.
    Which figures are whoseEvery figure attributed to ALTO, Metrolinx, the Joint Project Office, HM Treasury or Statistics Canada is quoted from the sources listed below and can be checked there. Three figures are our own arithmetic and are marked as such where they appear: the $98 to $148 billion uplifted capital range, the $21.40 inflation-escalated value of time, and the five per cent effect of the declining Green Book schedule. Where the report does not state something, we say so rather than inferring it, and we make no claim about why any requirement was or was not carried across.
    This is a public report, not a formal submissionA business case submitted to Cabinet in 2029 may well contain material this document does not. The claims examined here are the claims ALTO has chosen to put in public.
    What Would Settle It

    Two questions ALTO can answer without releasing a model

    Both are answerable from work ALTO has already done. Neither requires disclosure of a model, cooperation from staff, or agreement about what the correct discount rate for a national railway ought to be.

    1. Was the calculation ever run at a rate other than 3.5 per cent?

    And if so, what were the results? A negative answer is itself informative — it would mean the required test was never performed. An affirmative answer is the sensitivity table the report does not contain.

    2. Which parts of the cited guidance were applied, and which were departed from?

    The Metrolinx document requires that any variation from its parameters be agreed and clearly justified. The report records no variations at all — while, on the evidence above, departing from several.

    Where Things Stand · August 2026

    Summary ledger

    Measured against the requirements of the manual ALTO names as its authority:

    Carried across
    The 3.5 per cent discount rate, correctly cited to the manual.
    Carried across
    The single blended value of time, expressly justified by reference to the manual.
    Partial
    The thirty-year cap on benefit growth: applied to accident and emissions lines, not stated for travel time, which is 78 per cent of the benefits.
    Partial
    A single price year throughout: the appraisal is in 2024 dollars, the GDP result in 2019 dollars.
    Left behind
    Discount rate sensitivity test at 2.5 per cent.
    Left behind
    Value of time sensitivity test at 0.75 per cent real growth.
    Left behind
    Range analysis of costs and assumptions, reported with a confidence level.
    Left behind
    The probability that benefits exceed costs, and the benefit-cost ratio itself.
    Left behind
    The standard set of performance indicators: net present value, benefit-cost ratio, capital utilisation, return on investment, internal rate of return.
    Left behind
    The optimism-bias top-up on construction costs, 64 per cent at this level of design — not applied and not mentioned.
    Left behind
    The lower end of the range, on figures the report itself labels an upper estimate.

    ALTO names an appraisal manual twice — once for its discount rate, once to justify a single blended value of time — and leaves behind the testing, the ranges, the optimism adjustment and the benefit-cost reporting that the same manual attaches to those figures at this project’s scale. What remains is a column of numbers labelled an upper estimate whose lower estimate is never shown, resting on parameters presented as facts rather than as selections, in a report that declines to divide that column by the cost while describing the benefits as holding across a wide range of scenarios.

    Every document relied on here is public. Nothing in this analysis requires access to ALTO’s models, cooperation from its staff, or a view on what the correct discount rate for a national railway ought to be.

    Download Full Brief
    Two Parameters, None of the Conditions (PDF)
    Full research brief with page references, parameter tables, worked figures and sources
    Download PDF

    If the terms in this brief are unfamiliar — what a discount rate actually does, why a benefit figure is not money, and who ends up paying — the companion explainer Hours Are Not Dollars covers the same ground in plain language, and sets out the 2021 business case figures in full.

    Sources

    Primary documents

    1.
    ALTO, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026, 83 pp. Discount rate, appraisal period and price base in the Appendix A methodology box, sourced at footnote 65 to the Metrolinx Business Case Manual Volume 2; value of time and the single-parameter justification in the same appendix, with Ministère des Transports du Québec guidance at footnote 66. Direct-effects tables headed “upper estimate, $2024 CAD”; benefit-cost ratio discussion at p. 62 and reference to the benefit-cost ratio at p. 80; capital cost and AACE Class 5 at pp. 5 and 65; scenario-robustness claims at pp. 3 and 69.
    2.
    Metrolinx, Business Case Manual Volume 2: Guidance, August 2021, 222 pp. Economic parameters at Table 5.8; sensitivity requirements at Tables 5.1 to 5.3; optimism bias at Tables 5.4 to 5.6; worked range example at Table 5.7; Economic Case lifecycle requirements and key performance indicators; business case principles at pp. 11 and 13; guidance revision cycle at p. 4. metrolinx.com
    3.
    Metrolinx, “Business Cases — Resources,” accessed 21 August 2026. The Business Case Guidance link resolves to the Volume 2 file under an asset version token corresponding to 15 September 2022; no Volume 2 revision has been issued.
    4.
    B. Flyvbjerg, Procedures for Dealing with Optimism Bias in Transport Planning (UK Department for Transport, 2004), cited in the Metrolinx Guidance as the basis for the optimism-bias uplift.
    5.
    Statistics Canada, Table 18-10-0004-01, consumer price index, used for the 2021 to 2024 escalation of the Metrolinx value of time. The comparison is arithmetic and is not an attribution of method.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Economics Brief  ·  August 2026
    Independent, non-partisan research on the proposed Toronto–Québec City high-speed rail corridor.

  • 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.

    ALTO HSR Citizen Research Initiative · Economics Brief · Published July 2026
    ⚠ 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.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Economics Brief  ·  July 2026
    Independent, non-partisan research on the proposed Toronto–Québec City high-speed rail corridor.