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The more recent but quaint days of desktop programs where clicking on [x] would actually close the program.

You can be selective about your work without being a snob.

Related question - how many bookmarks do you have and how do you use them? Because for my use I don't see a point of doing anything fancier that Ctrl-D to bookmark and keeping them in <5 folders in my browser.

Do you have an opinion on life in Germany that you would like to share?

This list is so ridiculous that I can't bring myself to do a point-by-point rebuttal.

That's not how open source works.

This reminds me of Hello Internet recently releasing a special 2-minute episode of their podcast on a wax cylinder - https://en.wikipedia.org/wiki/Phonograph_cylinder

Really difficult to get your hands on one but it's possible. And the peak of their popularity was about 100 years ago.

Your title is about inferences, but your text describes a summary, a descriptive statistic or an aggregation - they are very different problems. It's quite straightforward to "find a top item" regardless of the dataset but I don't know why you would want this automated at all.

1. Review your mistakes after each game - lichess.org (which is the best online chess platform by far) has an option to look at your sub-optimal moves at the end of a game and find a better move than the one you made originally.

2. Obligatory shoutout to ChessNetwork who has a great youtube channel - the guy is just a pleasure to listen to and his beginner series, which teach important general concepts, will be really useful if you've plateaued around 1000.

There is no good reason to ever use Alteryx over R/Python. But their company is really good at selling to non-technical management.

It's truly amazing that we can do this.

Not sure why they've grouped together Alteryx and Tableau - they're completely different pieces of software used for completely different purposes. By the time your dataset gets to Tableau it better be ready for visualisation with minimal changes.

While there is rough agreement that a total of either 31 or 54 people died from blast trauma or Acute Radiation Syndrome (ARS) as a direct result of the Chernobyl disaster (see § Differing direct, short-term death toll counts), there is considerable debate concerning the accurate number of deaths due to the disaster's long-term health effects, with estimates ranging from 4,000 (per the 2005 and 2006 conclusions of a joint consortium of the United Nations and the governments of Ukraine, Belarus, and Russia), to no fewer than 93,000 (per the conflicting conclusions of various scientific, health, environmental, and survivors' organizations).

https://en.wikipedia.org/wiki/Deaths_due_to_the_Chernobyl_di...

No - the facts don't change just because a large enough number of people disagree.

I’ve found that even trying to really study through books things like number theory, proofs, and integration takes huuuuge time investments.

Yep, that's how to do it if you want to do it well. Practice. There's a reason why these degrees take so long. I would advise against just about any online course where you only watch videos and get the feeling that you've learned something while in reality you retain close to nothing.

My first thought was that the leap from "this app is useful to students" to "prevent school shootings" is huge and this just sounds naive and exaggerated. Then I noticed that the word "shooting" is nowhere in the app descriptions but you decided to include it in your post for some reason.

I've also been looking around for something interesting to work on which will actually be helpful to other people. And it doesn't doesn't necessarily need to be ML related.

There is probably a good parallel between the impact of auto-ML solutions on data science roles and the impact of services like Squarespace on web development roles.