this post was submitted on 16 Sep 2023
150 points (96.9% liked)

Technology

59197 readers
3004 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

I am looking for some good tech sites that have longer articles and indepth reviews. Preferably without an obvious biased towards a particular company or brand. edit: I should have clarified what to was looking for. I would like to compile a list of lesser-known but useful websites so that I can stay current on tech news without having to deal with the "fluff" that some of these sites now contain or the never-ending stream of anything remotely technological that you'd receive at the Verge, Ars Technica, etc.

you are viewing a single comment's thread
view the rest of the comments
[โ€“] luciferofastora@lemmy.zip 2 points 1 year ago* (last edited 1 year ago) (1 children)

So if I'm reading this right, what you're saying is that the content bloat exists so that existing engagement metrics look better? That tracks. The idea that they're grasping entirely wrong facts instead of "just" misunderstanding the dimensions' causal relations, didn't occur to me, but given that it's a simpler and still just as plausible explanation, Occam's Razor suggests it's more likely. In fact, I'd bet it's (more) correct.

In my naive position as BI developer, I tend to insist my "customers"/consumers focus on clarifying the questions they want to answer, so that I can find the appropriate measures to calculate, then work on narrowing down the disconnect between what data I have and what they want to know.

Of course, the situation "my consumers have latched on to this specific measure, how do I explain that it doesn't actually answer the question they're asking?" and the related problem of "how do I explain that the question they're asking isn't quite as simple?" occur often enough, but between the faith in my abilities and understanding of our data (on which I've become the de facto authority) and my own practice at picking examples that show such disconnects, it's usually little more than a routine exercise.

But most of my consumers (or at least the contacts for my models and reports) are operative or lower management that have either been relying on my service for years now or come to me after word-of-mouth from other people that have, so the bullheadedness of C-level executives just grabbing a single, intuitive measure and holding on to that - actual semantics be damned - is far from my daily business.

[โ€“] theluddite@lemmy.ml 2 points 1 year ago

Yup that's about right. I think the obsession with engagement comes from a cultural desire to appear objective. It's performative more than it is rational.