A more recent approach to visualizing high-dimensional data is the t-SNE algorithm, which I normally use together with PCA when exploring big data sets. If you're interested in the differences between both methods, here's a really good answer: https://stats.stackexchange.com/a/249520.
How strange, what do you mean by this comment? I just visited the website of the beneficiary of the proceeds and they have this to say about the death penalty[1], for example: “African Americans make up 42% of people on death row and 34% of those executed, but only 13% of the population is Black”.
It sure sounds like racial bias to me! And I for one I’m glad the they chose this nonprofit organization which is doing excellent work.
I don’t think you understood my position: I categorically refuse to waste time looking for more sources for someone who critised the first ones I used without providing sources themselves to back up that criticism. It just boils down to having self-respect. If you ever find yourself in my situation I advise you to do the same (I still find your position of asking me instead of them for more evidence to be weird, but I won’t try to understand it on account of the aforementioned not wanting to waste my time).
Consider the following: the person who questioned the authority of my sources provided no evidence for doing so, but you, that don't have a dog in this fight, are specifically asking me to defend against this baseless criticism?
My question for you is: why aren't you, renowned dog non-haver in this fight, asking for evidence for the only person in this conversation who provided none?
As to the first part of your comment, I can't, for the life of me, figure out how you misinterpreted my observation like that.
I find your framing to be really curious, considering there's evidence pointing precisely the other way:
My own research analyzed about 1,500 protest-related news stories published throughout 2014 in mainstream, alternative, partisan and online news publications. Articles about conservative protests — like protests opposed to immigration or LGBT rights, or protests supporting Trump and gun rights — are less likely to be negatively framed as “riots” than other types of protests. In contrast, Black Lives Matter protests are more likely to be framed as riots, as news coverage focuses more on violence, property damage and confrontations with police.
SPLC and Wikipedia are not authoritative. Your rambling comment devoid of sources, on the other hand, is academic material on the matter. It really makes you think to see so many accounts created a few minutes ago suddenly appearing to defend a neo-fascist movement.
From that link: In early February 2021, the Canadian government designated the Proud Boys as a terrorist entity, citing the role the group played in the Jan. 6, 2021, insurrection at the U.S. Capitol in Washington, D.C.
They are not only "far-right", but also "neo-fascist, chauvinist, and exclusively male white nationalist", as the Wikipedia entry begins: https://en.wikipedia.org/wiki/Proud_Boys.
I’m curious: looking at your posting history, are you at least being paid to astroturf pro-CCP propaganda, or do you do it for free? Could you give us some insight into how it works?
I was going to answer in a similar vein, although I don't normally participate in the discussions, mainly because English is not my native tongue and although I think I can now read at the level of a native speaker, I find it significantly more difficult to write in it (and, being a language that for reasons that elude me I love, I hate how artificial and unnatural my phrases sound like).
In my case, I have a background in statistics and biotechnology and I use Hacker News (via RSS) to learn about new developments in machine learning and related technology. I tend to ignore all news related to politics/social issues because HN, on average, has a very narrow-minded (too engineer-like, often ignoring a lot of vital nuances) way of looking at those topics. Also, I'm from Europe and I find that there's a particularly American way of looking at business and personal projects that we don't have here and that I feel beneficial to get exposed to (even with its downsides).
Edit: To expand a little more on my process of using HN, in case anyone finds it interesting, I subscribe to the frontpage RSS feed, so that I usually get between 75-100 stories (just the headlines) per day, which I then proceed to quickly scan to open the interesting ones (both the original URL and its accompanying HN discussion). I've found the signal/noise ratio to be more than worth it (also factoring in the time it takes me to do all of this).
Could you expand on what you mean by using it effectively? I've just started using RStudio and any tips/ways to use it more efficiently are welcome! Thanks.
From 2015: https://news.ycombinator.com/item?id=9040266.
From 2017: https://news.ycombinator.com/item?id=14405665.
A more recent approach to visualizing high-dimensional data is the t-SNE algorithm, which I normally use together with PCA when exploring big data sets. If you're interested in the differences between both methods, here's a really good answer: https://stats.stackexchange.com/a/249520.