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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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:

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.

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.

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”.

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.

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.

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.

Summary ledger

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

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.

What this brief does not claim

Primary documents and companion notes