4,793 karma · joined February 14, 2011
my public key: https://keybase.io/sangaline my proof: https://keybase.io/sangaline/sigs/uKMqGQ_auE6z2qTdrkpZihnoA-DcJ4BeHb35KLA1KZI
> reminder to reddit manbabies that they are kinda pathetic, irrelevant, boring, creepy nerds who’ll never amount to anything. The only thing they seem to know how to do is complain, masturbate about upvotes and karma, and be creepy stalkers when women are involved. Like holy shit, do these weirdos even realize what they’re doing? Y’all are literally the sketchy, sweaty nerds that make us wanna vomit. But keep doing what you’re doing, because I’d rather that y’all vomit-inducing rapey gross dweebs actually keep being open about who you are
That seems like an incredibly unprofessional thing for an employee to say, even if that's how they feel. It sounds more like childish name-calling than any real effort towards promoting diversity. I'm supportive of efforts to increase diversity within the tech community, but this sort of rhetoric just comes off as divisive rather than productive.
On the other hand, python-markdown is an extremely well-designed library and it's an absolute joy to hack on and extend. Once upon a time, I used it to throw together an API documentation renderer for Mono class library documentation on a now dead product [2]. Overall, I enjoyed that a lot more than my experience with Hugo and I will probably use something python based for my next static site.
[1] - https://intoli.com/blog/
Sorry about the pop up... I'm not a huge fan of them as a user myself, but we only show it on the first post that you read and it drives a lot of sign ups for our monthly article newsletter. We try our best to only put out high quality articles and to keep the intrusiveness of marketing widgets to a minimum.
[1] - https://intoli.com/blog/running-selenium-with-headless-chrom...
I love Temple of the Dog as much as the next guy but this is patently false. The original rock supergroup was probably Crosby, Stills, & Nash, formed in 1968 by well-known stars from the Byrds, Buffalo Springfield, and the Hollies, respectively (and later joined by Neil Young). One could also make a case for Cream, but Jack Bruce and Ginger Baker became much better known for their involvement with Cream than they ever were for anything else.
[1] - https://intoli.com/blog/running-selenium-with-headless-chrom...
> Echo Look helps you discover new brands and styles inspired by your lookbook
This feels like a marketing vehicle for high-end clothing and accessories. Maybe it's a way to leverage the reach of their Alexa ecosystem to compete with the likes of Polyvore?
It's an awesome project in either case, but it would be incredibly useful if this could somehow be a stepping stone towards a more language agnostic way of defining command-line interfaces. I do a fair bit of language hopping and it can be frustrating how much the quality of argument parsing frameworks varies between language ecosystems. It's even worse from a user perspective when a utility's interface was obviously determined by the limitations of its language or argument parsing library.
[1] http://sangaline.com/post/reverse-engineering-the-hacker-new...
[2] http://sangaline.com/post/the-stories-that-hacker-news-remov...
A close friend who really knows his way around marketing has been advising us to write more fluff pieces. We're really torn over this because we strongly dislike vapid content as consumers. I would be really curious to hear any anecdotes on the relative merits of the different strategies.
[1] - http://sangaline.com
[2] - https://intoli.com/blog/
I can actually think of some other relevant metrics here that I don't think I've seen quantified before. I'll probably play around with this a bit at some point and if the results are interesting then I'll write them up. If I do though then it will most likely be a few months down the line. I've already written twice as many HN meta articles as I was planning on and need to take a little break :-).
I find this to be a particularly interesting question, not because I actually care about the answer, but because it feels like the data should be able to tell us the answer... My main goal was to tease out the ranking algorithm from the data in a simple and elegant fashion. This made it a little more interesting as an endeavor and hopefully makes it a more interesting read as well.
You're right, the details of the algorithm aren't hugely interesting and are generally available. The point here was to use the data to uncover it in a somewhat novel way. Figuring things out can be fun in and of itself, even if the answers are already available.
I know that this analysis will get less attention than the one from yesterday, but I personally find it far more interesting and hope that it can stand on its own merits. I'll be around to answer any questions that might come up.
I take a little bit of offense to this statement. The article identifies stories that had sudden extreme drops in position and then speculates that this could be caused by a hidden flagging threshold and/or moderator intervention. I strongly suspected that moderation was responsible in some of the cases but I also emphasized that this was because I didn't expect those stories to get heavily flagged and that we couldn't know for sure. All of these stories were effectively removed from the front page whether it was due to a hidden threshold or a moderator. I thought it was interesting to look at which stories were removed even if we could only speculate on the mechanism in each case.
You've confirmed that there are hidden thresholds in place that severely penalize stories and that the moderators make manual adjustments. I don't think that that makes the post completely wrong even if the moderator adjustments tend to be smaller and all of the stories I looked at were affected by automated means.
Do you have any thoughts on whether any of the listed stories are appropriate for the front page? As I said before, a few of these stories seem like "bad" posts but most of them appear fairly typical to me. Flagging is obviously necessary but maybe there is an issue with the user-specific weighting or how one of these thresholds kicks in if there seems to be a high percentage of collateral damage? I'm sure that you've spent a lot more time thinking about this than I have so I'm genuinely very curious to hear your opinion.
You're definitely right about there being miscellanious rules in there. Something that I mentioned in passing in the article is that many stories exhibit a significant drop in position once they're 15 hours old. If you look closely at the typical story trajectories you can also see various other jumps of about 10-30 positions which I would guess are triggered by these various rules.
The stories listed in the article exhibit very different behavior where they jump hundreds of positions instantaneously. It's absolutely possible that this is triggered by some automatic mechanism but if that's the case then there's an enormous amount of signifance being assigned to the corresponding rules. If there's some random component to the ranking then I highly doubt that it would be responsible for jumps of this magnitude.
I try to emphasize in the article that I do think it's possible that there's a hidden flagging threshold that's responsible and that the data can't tell us with certainty whether or not that's the case. I just personally find it unlikely that that's what happened for all of these stories. If you ran a site like Hacker News then would you put an admin link next to each post that pushes it off of the front page? I know that I would.
left_meters=AllCPUs Memory Swap
to be left_meters=CPU Memory Swap
That will replace the default CPU monitor with a single meter for the average across all cores. After that, you'll be able to customize things the standard way by pressing F2 within htop.