You're trolling needs to be permanently banned.
We don't give a shit about who you think has opinions. Also "rail engineer" = "locomotive operator" who will have no real expertise on designing railway systems. They aren't an actual engineer in the professional sense.
Trying to refute the 7% primary sector stat (which comes straight from StatsCan by the way) with a bad faith out of context quote, backed by AI slop...
The problem is the rants are so incoherent, most people are not reading them. Also a 35 year tenure railway engineer from Bombardier in Eastern Ontario, at best, has little to no practical experience with high speed rail.
And any "expert", be it AJ or this Bombardier (P.Eng) engineer, would not suggest elevated viaduct as a way to "solve problems", or save on capital costs for Alto. Quote below:
I have been working with a well published railway engineer who worked for 35 tears at barbardier in eastern Ontario. He suggests that in winter reliable speeds above 200km/h will be impossible without intensive maintenance. Raising a railway solves many problems in terms of cold weather engineering and this has been the Chinese approach.
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I actually agree with "Citizen Research", that Alto could easily cost $140+ billion CAD. But I don't agree that an HPR alternative would cost $28 billion based on a regression-forecasting model that hinges on subjective scoring for two indices, not independently observed variables.
Nearly half the "engineering complexity index" values are imputed (see below), while
all "community friction index" values are author-scored using said internally developed rubric.
"Both indices are analytical instruments developed by the Initiative and applied internally by the research team. Neither has been externally peer-reviewed."
Page 5/38:
https://citizenresearch.ca/wp-content/uploads/2026/04/ALTO-ECI-CFI-Multivariate-Report-2.pdf
Changing the scores would give wildly different results.
If you give different scores under those indices, AJ here will say your scores are wrong, his scores are more accurate, therefore his estimated costs are more accurate. You literally cannot disprove this borderline circular logic, to say nothing of the circularity with the community friction index itself.
High cost / escalating projects may score high on CFI partly because the CFI already includes “cost-scope escalation signals". That creates a circularity problem: the model is using a predictor that partly contains evidence of the outcome it is supposed to explain.
In other words, CFI may appear to predict high costs partly because high cost or escalating projects are already scored as high friction.
That itself does not necessarily invalidate the whole thing, but it weakens any claim that CFI independently causes high cost.
Page 3/38: "community friction is a measurable, independent cost driver".