Business
How big things could get done—even in Canada
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From the Fraser Institute
By Philip Cross
From Newfoundland’s Muskrat Falls hydro project, to Ottawa’s Firearms Registry and the Phoenix pay system, to Montreal’s 1976 Olympics, Canada is a gold medal winner when it comes to wasting tax payer dollars. It doesn’t have to be this way.
Last year, Bent Flyvbjerg, a Danish professor of economic geography specializing in megaprojects, and Canadian journalist Dan Gardner co-authored a book How Big Things Get Done. They investigate what they coin the “Iron Law of Megaprojects,” which holds they routinely come in well over budget, far past projected deadlines, and without the projected benefits.
Unfortunately for taxpayers, the book contains numerous examples of Canadian megaprojects that follow this Law of Megaprojects. The federal government’s infamous firearms registry is a textbook template for how IT projects can go terribly wrong, ending up 590 per cent over budget. The Muskrat Falls hydro project in Newfoundland is cited as a classic demonstration of what happens when hiring a firm with little direct experience managing such a large complex project. Most famously, the 1976 Montreal Olympic Games wins the title for the largest cost overrun in Olympic history, finishing 720 per cent over budget. The authors suggest Montreal’s “Big Owe” stadium “should be considered the unofficial mascot of the modern Olympic Games.”
One thing all these Canadian examples have in common is extensive government involvement. Not that governments learned from their past mistakes. The federal government’s Phoenix pay system fiasco demonstrates that IT remains a black hole, with the government recently announcing it would abandon Phoenix after spending $3.5 billion trying to implement it. Several light train projects across the country have gone off the rails, the poster boy being the system in Ottawa, which is years behind schedule and already $2.5 billion over budget.
There are several reasons why government projects are chronically prone to failure. One is that politicians, especially late in their careers, want legacies in the form of monumental tangible projects irrespective of whether they effectively meet a public need. You can see this dynamic clearly at work today in Canada, as the Trudeau government pushes for a prohibitively expensive (probably more than $100 billion) high-speed rail connection between Windsor and Quebec City. Meanwhile, Ontario Premier Doug Ford promotes a traffic tunnel underneath Highway 401 between Brampton and Scarborough, and Quebec Premier Francois Legault revives plans for a third link connecting Quebec City to the south shore of the St. Lawrence River. While Canada clearly needs more transportation infrastructure, these projects are not the most cost-effective way of meeting the needs of commuters.
Governments deceptively deploy several tricks to help get uneconomic projects built. They routinely produce unrealistically low-cost estimates to make wasteful ego-driven projects appear affordable. Another tried and true tactic is to just “start digging a hole and make it so big, there’s no alternative to coming up with the money to fill it in,” as former San Francisco mayor Willie Brown admitted. This approach preys on the mistaken belief that large sunk costs mean scrapping a project “would be interpreted by the public as ‘throwing away’ the billions of dollars already spent” when it is actually a textbook example of throwing good money after bad.
Unlike other studies of how major infrastructure projects typically are over budget, Flyvbjerg and Gardner have some concrete recommendations on how to manage large projects that respect deadlines and budgets.
These steps include careful consideration of the actual goals of the project (airlines can meet the need for fast transport in the Windsor-Quebec corridor without the expense of high-speed rail), detailed planning and preparation followed by swift execution to minimize costly surprises (summarized by their advice to “think slow, act fast”), accounting for the cost of similar projects in the past, and breaking large projects into smaller modules to allow projects to scale back when they run into trouble. A good example of these principles at work in Canada were several oilsands projects built before 2015, when severe shortages were addressed by firms using modularity and synchronizing their work schedules to free up scarce labour and materials.
However, one major flaw in Flyvbjerg and Gardner’s analysis is their failure to understand the economics of renewable energy. They cite solar and wind projects as examples of projects that routinely finish under budget, a major factor in their declining cost. But building renewable energy is not their only cost to the energy grid, as back-up plants must be maintained for those periods when the sun is not shining or the wind is not blowing, as noted in a recent article by Bjorn Lomborg. The expense of maintaining plants that often are idle raises overall costs. This is why jurisdictions that rely extensively on renewable energy, such as Germany and California, have high energy costs that must be paid either by customers or taxpayers.
However, apart from this mistake, there is much governments and taxpayers can learn from How Big Things Get Done.
Author:
Business
Bad Research Still Costs Good Money
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I have my opinions about which academic research is worth funding with public money and which isn’t. I also understand if you couldn’t care less about what I think. But I expect we’ll all share similar feelings about research that’s actually been retracted by the academic journals where it was published.
Globally, millions of academic papers are published each year. Many – perhaps most – were funded by universities, charitable organizations, or governments. It’s estimated that hundreds of thousands of those papers contain serious errors, irreproducible results, or straight-up plagiarized or false content.
Not only are those papers useless, but they clog up the system and slow down the real business of science. Keeping up with the serious literature coming out in your field is hard enough, but when genuine breakthroughs are buried under thick layers of trash, there’s no hope.
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Society doesn’t need those papers and taxpayers shouldn’t have to pay for their creation. The trick, however, is figuring out how to identify likely trash before we approve a grant proposal.
I just discovered a fantastic tool that can help. The good people behind the Retraction Watch site also provide a large dataset currently containing full descriptions and metadata for more than 60,000 retracted papers. The records include publication authors, titles, and subjects; reasons for the retractions; and any institutions with which the papers were associated.
Using that information, I can tell you that 798 of those 60,000 papers have an obvious Canadian connection. Around half of those papers were retracted in the last five years – so the dataset is still timely.
There’s no single Canadian institution that’s responsible for a disproportionate number of clunkers. The data contains papers associated with 168 Canadian university faculties and 400 hospital departments. University of Toronto overall has 26 references, University of British Columbia has 18, and McMaster and University of Ottawa both have nine. Research associated with various departments of Toronto’s Sick Children’s Hospital combined account for 27 retractions.
To be sure, just because your paper shows up on the list doesn’t mean you’ve done anything wrong. For example, while 20 of the retractions were from the Journal of Obstetrics and Gynaecology Canada, those were all pulled because they were out of date. That’s perfectly reasonable.
I focused on Canadian retractions identified by designations like Falsification (38 papers), Plagiarism (41), Results Not Reproducible (21), and Unreliable (130). It’s worth noting that some of those papers could have been flagged for more than one issue.
Of the 798 Canadian retractions, 218 were flagged for issues of serious concern. Here are the subjects that have been the heaviest targets for concerns about quality:
You many have noticed that the total of those counts comes to far more than 218. That’s because many papers touch on multiple topics.
For those of you keeping track at home, there were 1,263 individual authors involved in those 218 questionable papers. None of them had more than five such papers and only a very small handful showed up in four or five cases. Although there would likely be value in looking a bit more closely at their publishing histories.
This is just about as deep as I’m going to dig into this data right now. But the papers I’ve identified are probably just the tip of the iceberg when it comes to lousy (and expensive) research. So we’ve got an interest in identifying potentially problematic disciplines or institutions. And, thanks to Retraction Watch, we now have the tools.
Kyle Briggs over at CanInnovate has been thinking and writing about these issues for years. He suggests that stemming the crippling flow of bad research will require a serious realigning of the incentives that currently power the academic world.
That, according to Briggs, is most likely to happen by forcing funding agencies to enforce open data requirements – and that includes providing access to the programming code used by the original researchers. It’ll also be critical to truly open up access to research to allow meaningful crowd-sourced review.
Those would be excellent first steps.
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Business
DOGE asks all federal employees: “What did you do last week?”
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MxM News
Quick Hit:
Elon Musk said Saturday that all federal employees must submit a productivity report if they wish to keep their jobs. Employees received an email requesting details on what they accomplished in the past week, with failure to respond being treated as a resignation.
Key Details:
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Musk stated that federal employees must submit their reports by 11:59 p.m. on Monday or be considered as having resigned.
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Musk emphasized that the process should take under five minutes, stating that “an email with some bullet points that make any sense at all is acceptable.”
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FBI Director Kash Patel instructed agency employees not to comply with the request for now, stating that the bureau will handle reviews internally according to FBI procedures.
Diving Deeper:
Federal employees have been given a strict deadline to justify their jobs, as DOGE pushes for greater accountability within the government. The email came late Saturday, explaining that all federal workers would be required to submit a brief productivity report detailing their accomplishments from the previous week. Those who do not respond will be deemed to have resigned.
Musk framed the requirement as a minimal effort, writing on X that “the bar is very low.” He assured employees that simply providing bullet points that “make any sense at all” would suffice and that the report should take less than five minutes to complete.
The policy aligns with President Trump’s push for increased efficiency in government. The Office of Personnel Management confirmed the initiative, stating that agencies would determine any further steps following the reports. Meanwhile, FBI Director Kash Patel pushed back, advising bureau employees not to comply for the time being, stating that the FBI would handle its own review process.
The policy has drawn sharp criticism from the American Federation of Government Employees, which blasted Musk’s involvement, accusing him of disrespecting public servants. The union vowed to fight any terminations resulting from the initiative.
Musk also took aim at the White House’s Rapid Response account after it listed recent Trump administration actions, including expanding IVF access and cutting benefits for illegal immigrants. In response, Musk quipped that simply sending an email with coherent words was enough to meet the requirement, reiterating that expectations for the reports were low.
The directive comes as Musk’s Department of Government Efficiency seeks to eliminate waste across federal agencies, signaling a broader crackdown on bureaucratic inefficiencies under the Trump administration.
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