It is.

Blazor is a big framework. It gives you a lot, but as a framework, also introduces stack complexity.

Being able to code on one C# codebase for a web application client and server is great. It’s very fast. You can use modern C# syntax. You have component (CSS) isolation. You can switch and mix between runtime targets (server dom rendering and sending diff-updates or client-side app execution).

At work, we’re using it for a webportal/webapp and I have not fundamentally regretted us using it. It’s definitely not worse than anything else. For a productive development and product there’s a little bit of framework knowledge you have to learn, but that’s not different than any other framework. And docs are very good.

I love how fast it feels to use the end product too.

I actually implemented super tic tac toe in Blazor a while ago. It’s interesting to play.

Why do I not win with a row on the outer field?

It counts won fields instead?

Krita doesn’t have an Android app version though, does it?

Nothing is an annoying, confusing brand name.

The link offers a download instead of serving an HTML? I’m on mobile Firefox (I doubt it matters).

I don’t think it should be a client feature. It should be federated, like the posts are.

I feel like cross-posts should share comment threads…

Now comment threads are split across 6 communities.

What’s plugin? Link?

I can’t get past their cookie banner.

48 min long

Their video-description-linked text source: https://laskowskilab.faculty.ucdavis.edu/2020/01/29/retractions/

Knowing that our data were no longer trustworthy was a very difficult decision to reach, but it’s critical that we can stand behind the results of all our papers. I no longer stand behind the results of these three papers.

There has been some questions of why I (and others) didn’t catch these problems in the data sooner. This is a valid question. I teach a stats course (on mixed modeling) and even I harp on my students about how so many problems can be avoided by some decent data exploration. So let me be clear: I did data exploration. I even followed Alain Zuur’s “A protocol for data exploration to avoid common statistical problems“. I looked through the raw data, looking for obvious input errors and missing values. […]

Altogether, I was left with the conclusion that there was good variation in the data, no obvious outliers or weird groupings, and an excess of 600 values which was expected due to the study design. As a scientist, I know that I have a responsibility to ensure the integrity of our papers which is something I take very seriously, leading me to be all the more embarrassed (& furious) that my standard good practices failed to detect the problematic patterns in the data. Multiple folks have since looked at these data and came to the same conclusion that until you know what to look for, the patterns are not obvious.

it’s not yet the suggested version. Meaning that brave users need to install this manually for now

not production-/stable-live yet

it often gets caught pulling anti-user shenanigans

I’m not aware. Can you list a few?

Receiving funding doesn’t necessarily mean serving. Google is interested in funding to keep it’s position. Mozilla still provides alternatives and regularly criticizes Google.