ha, ha, well anyway, I am impressed with your 50km+! (or whatever it is: 50 mile? 100k? 100 mile?)

Anyway, By The Numbers is a nice podcast series and thanks for your efforts! 👍

I do regret not asking @parmvir.com about her ultra-running in the podcast: open.spotify.com/episode/7rpv... but even better, she's interviewed here too!

It was going OK until I installed MASS because the reviewer asked for models with overdispersion. I feel like the Poisson regression was mostly fine, but anyway, more analysis, sure.

But MASS masks select() from dplyr which was used everywhere, so now the preprocessing is all broken 🫠...

Here is the preprint from the Simulation-Grounded Neural Network part of the talk: arxiv.org/pdf/2507.08977

A great listen. So much knowledge of so many fields, and inspiring career advice too. Thanks Simon.

And who might be interested in writing about this with me?

If you, or some you know, are interested, please email me at my work email, which is on my work website. [n/n]

(and thanks in advance for anyone able to contribute ideas related to this)

As far as I can tell, Australia was similar to Canada with regard to these two properties: (1) decentralized decision-making, and (2) interjurisdictional differences in key quantities (remoteness, economy, popn size, health care capacity etc).

What other countries shared these similarities? [3/n]

I know the Canadian situation during the COVID-19 pandemic quite well: it is interesting due to decentralized decision-making, and interjurisdictional differences in key quantities.

The arguments that we have been furthering would be more compelling with examples that go beyond just Canada. [2/n]

I am interested in the regional dependence of best public health strategies, particularly during a pandemic.

Dr. Maria Martignoni led some of our work on this topic here: royalsocietypublishing.org/doi/10.1098/...

I am looking to find collaborators also interested in writing about this [1/n]