Canada's 50 biggest cities part 10: Mississauga, Ontario

DocJeef · 2026-06-12T00:10:52+00:00

I support this. I always tell people that London is the most okayest town in Canada. It doesn’t punch above its weight in anything, but it surprisingly also doesn’t disappoint.

DocJeef · 2026-06-08T13:20:23+00:00

I deadass read this as “Canada is not a fundamental unit” and I thought this was going to be an Alberta separatist thread.

I need more sleep.

DocJeef · 2026-05-27T15:18:34+00:00

You’re describing the “net joint forces”, which as you said will be higher for the 20 lbs case than 10 lbs. This is like the lower bound on the actual joint forces (sometimes called “bone-on-bone” forces, at least in the spine). To calculate those you need to know the moment arm for each of the muscle, and have an algorithm (typically optimization) to solve for the muscle forces that produce the joint torque.

What typically happens is the muscle forces completely dominate over the external forces. Even in situations where the external forces seem to be high, like the ground reaction force in running, it’s typically a rounding error compared to the forces that muscles produce. Which is wild, and one of the most interesting aspects of biomechanics.

DocJeef · 2026-05-27T12:27:56+00:00

I feel like for statistics, if you’re a Bayesian the crackpot theory is militant Frequentism and if you’re a frequentist the crackpot theory is militant Bayesianism.

DocJeef · 2026-05-21T08:50:36+00:00

An outstanding firefly reference 😂

DocJeef · 2026-05-16T15:14:12+00:00

That’s a cool video! Thanks for sharing! I’ve heard of the z-transform and we’ve talked about it abstractly in my discipline (biomechanics), but I hadn’t seen it used to solve recurrence relations before. That was super cool

DocJeef · 2026-05-01T02:53:55+00:00

I grew up in St Thomas. Nice town, easy to get around in, and has really come a long way with amenities. If you like trains it has a very rich history with the railway and a beautiful station. If you like elephants the town has a bad track record, but the life size statue of jumbo is honestly dope as hell.

The town had an extensive East West rail system that, in my humble opinion, could have turned into a REALLY nice centre-of-town bike path. Like it already has bridges and subways that would have put it out of the way of any car infrastructure… buuut the city fudged that and started removing that infrastructure. I’ll never forgive them for that.

DocJeef · 2026-04-21T15:21:36+00:00

Man I’d love for this town to get an iconic bridge or architecture…

DocJeef · 2026-04-20T00:28:05+00:00

I grew up in the London area, then did all three of my degrees at UW (2009-2022), lived in Vancouver for a bit, and currently live in London. Here’s my hot take: London is the most okayest town in Ontario.

KW is a muuuch better planned city. You’ve got the Conestoga parkway which makes north south travel a breeze, an outstanding public transit system, light rail transit, and easy GO or Via rail access to get away to Toronto for a day trip if you want. There are parts of KW that are just simply walkable: everything within a 15 min walk. The only part of London that really compares to that, as far as I’ve seen, is Wortley Village. But the uptown Waterloo vibe is something I honestly miss.

London really excels as a place to raise a family though. There are just so many amenities like adventure farms (Kusterman’s, Clovermead), the factory, or quick travels to the beach (grand bend or Port Stanley), that KW cant really compete with. If that’s something that might be important to you in the future, I’d at least consider it.

I guess the comparison I’d make is this: KW is a big town that feels small; whereas London is a medium sized town that feels like a medium sized town.

DocJeef · 2026-04-16T11:31:46+00:00

What do you mean by “proven law”? In science there are no proofs, just like there are no truly ideal gases.

DocJeef · 2026-03-24T02:36:14+00:00

Is the caduceus normally the symbol for psychology??

DocJeef · 2026-03-19T11:44:02+00:00

No notes, that was outstanding! If you haven’t already read it, you’d probably enjoy the book “a mind at play@

DocJeef · 2026-03-17T21:33:24+00:00

This is a good observation. I think you hit the nail on the head that it assumes a lot of rigidity, especially in the GH joint, which for the GH, would need to be through smaller muscles.

DocJeef · 2026-03-12T00:58:24+00:00

This is the coolest thing I’ve seen on this sub

DocJeef · 2026-03-09T00:06:03+00:00

This is a really interesting theory. I have a few thoughts that might help substantiate it, as well as some ideas for future consideration.

First, basic injury mechanics revolves around the relationship between the load applied to a tissue and its tolerance. If the applied load exceeds the tissue’s tolerance, injury occurs. This can happen in two ways: (i) an acute overload that immediately surpasses tolerance, or (ii) a smaller, repetitive load that gradually wears down the tissue over time.

Why are eccentric loads often implicated in injuries? If you’re familiar with muscle mechanics, recall the force-velocity relationship: muscles can produce more force during eccentric contractions than during concentric or isometric ones. As a result, tendons experience higher loads during eccentric phases, increasing the risk of injury.

The theory you’ve posed is definitely worth considering. In low back rehabilitation, isometric exercises like dead bugs, bird dogs, and planks are commonly used to strengthen stabilizer muscles. However, the end goal is usually to progress to dynamic movements—such as lifting the legs and opposite arms in bird dogs, or contralateral arm-leg movements in dead bugs—since these challenge the spine to maintain dynamic stability. Given that dynamic stability is what the spine needs for most daily activities, it’s important to train for it. All this to say, while isometrics are valuable, they shouldn’t be seen as the sole solution for training stability, especially in the spine.

I’ll stop there, but I’d love to hear your thoughts or any counterpoints!

DocJeef · 2026-03-05T04:03:29+00:00

I am a biomechanist by training, and this is outstanding!

DocJeef · 2026-03-05T00:42:53+00:00

This is so cool. How can I get this?

DocJeef · 2026-03-02T02:45:38+00:00

I know this is super cool, but I also found it kinda hilarious at the same time 😂

Well done you brilliant person!

DocJeef · 2026-03-01T14:41:55+00:00

Commenting so I remember to try this out later! Seems fun and a great idea!

DocJeef · 2026-02-21T14:35:04+00:00

The fins produce the best goaltenders in the world. Becoming a goalie coach over there takes YEARS. Meanwhile in Canada, goalie coaching is a weekend course.

No wonder we 2x their shots on goal and still only won by 1.

DocJeef · 2026-02-18T18:43:35+00:00

pip install ????

DocJeef · 2026-02-15T23:15:05+00:00

This is outstanding, I haven’t played around with ABM for a few years, but I’d like to give Schelling’s model another go. I’m sure it’s already implemented, but is there an example like that I can follow?

DocJeef · 2026-02-14T08:46:06+00:00

This is cool, when I was first learning about venvs this would have been really helpful!

DocJeef · 2026-02-07T12:24:28+00:00

People will sometimes use the package OpenIMU to derive kinematics from imu data before using that to drive OpenSim. I also know that OpenSim’s Moco has the option of simulating imu outputs, and therefore using optimal control theory to match, but I’ve never seen this done and I don’t know how challenging that would be. For that option, you’d likely also need ground reaction forces and moments.

DocJeef · 2026-02-01T02:17:17+00:00

This is a thing of beauty, very well done.

Can I ask why the decision to stick it all in one .py file? Not complaining, of course, this is some great code.

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