_Wintermute

A number of the tube lines have large sections above ground.

A fixed wheel counts as a brake, though I've only seen the law in relation to bicycles which require 2 working brakes not sure how this applied to unicycles.

In my experience R is king of happily chugging along spitting out nonsense results when it should have errored 100 lines ago.

The increasing prevalence of non-standard evaluation in R packages was one of the major reasons I switched from R to python for my work. The amount of ceremony and constant API changes just to have something as an argument in a function drove me mad.

It's because you're in London. I have family in rural Cumbria with full fibre, yet none of the flats I've rented in London have availability.

I don't see how I could ever afford to retire whilst still having to pay rent in the UK.

If you've ever had to deal with the UK police as a victim of a crime, you'll quickly find out they're pretty useless at obtaining CCTV footage. I was asked to get it myself, to which the business who owned the CCTV told me they would only hand it to the police, so nothing happened.

The coachloads of Chinese tourists that I see every summer make me doubt this.

I think it was largely pushed by Phil Gaimon who was trying to get into the news to sell his new (at the time) book.

You can get some very permanent water-proof inks. Platinum Carbon black is my favourite.

Yep, at one point in my life I was consistently cycling for 30 hours a week and eating enough became a chore. So it's definitely possible, but it requires enough exercise that's essentially a full time job.

Dataclasses have the one massive benefit of not being an additional dependency.

The choice of groovy was unfortunate, but yet it still seems more popular than snakemake which I can only attribute to the nf-core set of curated workflows.

I have a dislike of nextflow because it submits 10s of thousands of separate jobs to our HPC scheduler which causes a number of issues, though they've now added support for array jobs which should hopefully solve that.

My biggest issue with R package management is version pinning. If I specify an older version of a package, R will fetch the latest versions of all its dependencies, regardless if they're compatible or not, which leads to manually chasing down and re-installing specific versions of dependencies and sub-dependencies one-by-one.

Microsoft's CRAN time machine helped solved this, but I think they've recently shut it down and I don't really trust Posit to not have a version behind a paywall.

R kinda sucks at anything that isn't a dataframe though.