There's one project that is 'active'. Are they active because they're better, or because they arrived late to the party and are reinventing the wheel.
This other project is 8 years old and has hardly been touched in 2 years. Is that because it takes 4 years to cover the entire domain and a couple years to fix all the bugs that can be fixed? Or because it's languishing?
Novelty is not a good selection criterion. Sometimes the old ways are best.
(disclosure - I've built libhunt)
When I search for anything technical the first thing I do is change the date range to the past year.
That would make it not "one of the best," right?
Whether it’s gender identity issues, technological warfare, jingoist politicians, class struggles, leadership advice, etc., somebody already wrote about it more effectively than the huge majority of modern writers churning out books.
Cost is the most obvious motivator, but for me it's more about filtering for quality in order to best allocate my limited adult gaming hours— why sink the time and money into a just-released title that might turn out to be the next Anthem or Fallout 76, when you can wait a few years about pick it up for $10-15 once it's a known winner?
That said, even within r/patientgamers, there's a spectrum in terms of just how patient some people are. For example, some people are just getting into stuff from the Xbox 360 era, whereas others are already talking about whether RDR2 has stood the test of time or not, ha.
And doesn't work as well with mmorpgs or online games.
-- Arthur Schopenhauer, "On Authorship and Style"
https://ebooks.adelaide.edu.au/s/schopenhauer/arthur/essays/...
Emphasis, and wall of text, in the original.
I feel this way about math books a lot actually, especially calculus. When we really formalized the foundations of calculus using limits and epsilon delta arguments in proofs (instead of alternatives like Non-standard analysis see: https://en.wikipedia.org/wiki/Non-standard_analysis) I feel like a great deal of the intuition that actually built calculus was lost. I call it "differential reasoning", and I wish there was a class in just such a thing, formalized with operator theory and non-standard analysis techniques. It's still used a lot in physics but no one talks about the concept of a "ratio of differentials" in modern calculus.
For example, the blog didn't even beat out the result above it which is "older content". For all we know, the blog was the last relevant candidate for that search query, the author doesn't demonstrate otherwise.
The only spammy thing we can tell from TFA is that the blog post's publish-date is set in 2019 when it was clearly published in 2016. But we don't know if Google knows that and is already penalizing them. Nor if it's an effective attack.
Also, the author doesn't demonstrate that the modified-date is inaccurate or spammy. CMS software will update this if you go back and correct a typo, or somehow mass-transform a bunch of blog posts. For instance, I once had a dead-link-finder plugin on Wordpress that gave me a UI to patch urls in old blog posts that would have updated the modified-date on all affected posts.
I don't see anything in TFA that suggests that the blog was benefiting from spammy behavior.
Google's algorithm tends to classify queries as "evergreen" and otherwise. With the former, recency doesn't seem to matter that much. I've had content stick a page 1 ranking for 3+ years without any updates.
For non-evergreen keywords, recency matters a lot. A fresh article on an established domain can often outrank better, but older content.
The query classification system works well enough for most keywords, but there is a grey area where Google doesn't really know what to focus on. Like with a query that focuses on "best practices". It isn't clear whether Google should prioritize classic, evergreen best practices, or focus on more recently developed best practices.
I would definitely appreciate a filter that only shows me old school content for my target queries. Some of the best content I've read online sits on websites that haven't been updated since 2002 and still use tables based design.
This website is a curated archive of Usenet posts.
It's far from universal, but if you understand quality content, you will recognize it here:
https://yarchive.net/comp/risc_definition.html John Mashey talking about RISC vs CISC.
https://yarchive.net/comp/linux/lost+found.html Ted Ts'o on lost+found.
... and plenty more.
- As a public record of the evolution of my ideas and thinking. (Often embarassing.)
- As a reference for things I've found useful, and contextualised.
- A place I can post my highly original thoughts ... to be told "oh, X came up with that years / decades / centuries / millennia ago." Happens far more often than I'd have ever dreamed.
- As a place I can refer to / link to my own best efforts at explaining some idea or principle. Rewriting from scratch continuously is tedious.
- Rarely, for discussion.
- As a very loose bookmarking service. (Only a small fraction of references end up there, but the ones which do tend to be significant.)
- Something of a shingle, though I've not leveraged that as yet.
Every so often a particular post will take off, and it's generally exciting when it does. Rarely the pieces I pour my sweat and tears into, though that happens occasionally. What the World decides to Take an Interest in is a wonderously fickle phenomenon.
There's also the tinkering on the blog itself as a technical means of presenting, distributing, and organising information, which I find interesting.
It is Google's fault, but the fault is that I can't choose.
If I'm looking for something about Beaglebone programming, there is a 90%+ probability that I need it limited to "last 6 months". If I'm looking for something about java.util.concurrent, 10 years old articles are probably just fine.
The fact that I can't make this choice is infuriating.
If a blog post is worth publishing multiple times then it should be published as something different.
I think Google ranks microblogs, blogs, articles, wikis, discussions, books, etc differently.
But for all we know, they do. The TFA doesn't establish otherwise. It doesn't even establish that the author didn't update the content in June. Or that the blog unfairly ranked over better candidates.