Worth noting this approach works with python/jupyter aswell, and across windows/linux/macos. Also RAM prices will be crazy in 2026 due to AI, so prices will change!

But you can also buy a windows/linux desktop or mini PC with lots of RAM for far less money, if you don't mind slightly worse CPU performance. The differences are even bigger if you need 128GB of RAM....

Apple users who need 64GB of RAM will need to shell out either £3,879 for a MacBook 16 Pro or £1,839 for a Mac mini. Therefore, you could get both a 64GB mini and a basic MacBook Air (£900) for much less - and you'll only lose £900 when you leave your laptop on the tube.

If you already have a gaming computer at home, with Docker + Tailscale, you can work from it remotely pretty seamlessly. Alternatively, if you only occasionally need more computer power, you can rent a server (running Docker) from your university or a private company (e.g., www.hetzner.com/cloud).

For illustrative purposes, I've installed tailscale on my desktop and phone. On my phone, I simply replace the localhost part of the web address with the tailscale ip address of my desktop, and bingo, I can access RStudio server on another device - and it works largely the same.

A nice thing about Docker (though this isn't exclusive to Docker) is that it runs RStudio Server, which we access via a web browser. By default, we can only access it on our own computer, but we can also access it from other computers via a secure, encrypted connection using the free app Tailscale.

Most of us work partly from home, so we need to work in different locations. For most, this means buying a laptop. However, if you work with large datasets and do complex analyses, you may need a higher-spec laptop with more RAM, which can cost 2-3x as much as the basic-spec version.

...claims such as: "Gen Z is the first population to cognitively underperform us on every measure", "Once countries widely adopt digital technologies in school, performance goes down wildly.", "We have evolved biologically to learn from other human beings, not from screens."

For those who have recieved non taxable phd stipends and have been in employment directly before or after, you may have overpaid your student loan due to the sneeky way it's collected...

Dont forget the true score isnt the actual "true" score, but the expected score.

Link doesn't work for me sadly! :( Says bad gateway error?

Interesting, thanks! I need to read up on this again as I don't remember all the different ICCs. Cool that it seems to match up with this formula!

... which would converge to 1 as the number of raters increases? I assume with inter-rater reliability, researchers are interested in something like how well a single rater's ratings of the items match the "true" rating, which is quite different, and necessitates a different approach?

Hmmm - I haven't really thought about inter-rater reliability since 2016 - so I'm not sure how RMU would map onto existing metrics yet. Thinking aloud: applying RMU to the item intercepts gives the reliability of the model's item estimates when combining all information across all raters...