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I'm surprised how many upvotes this got (40 points as of me writing this comment), given how little "meat" is actually in this article. The author presents a graph where views for a given user dropped precipitously after a "feud with musk". That's certainly suspicious, and was worth bringing up, but the rest of the blog is just pontificating about "social engineering" and "perception cascades", backed by absolutely nothing. Are people just upvoting based on title and maybe the first paragraph? This post could have been truncated to the graph and very little would be lost.



Yeah I also hoped that the article had some more backing for these arguments. The nytimes article, which is cited and from which the first graph is from, is more interesting, as it also includes a couple more cases:

https://www.nytimes.com/interactive/2025/04/23/business/elon...

or from webarchive

https://web.archive.org/web/20250423093911/https://www.nytim...


EM directly manipulates the algorithm to suit his interests. Here’s one we know about: https://www.theguardian.com/technology/2023/feb/15/elon-musk...


This article does not offer any proof. It's hearsay, from the title saying he "reportedly" forced it, in turn citing a Platformer article that itself also provides no proof and instead accepts the stories from fired engineers as gospel. The platformer article then goes on to say that views still fluctuate wildly, and that it isn't in line with a supposed 1000x boost. The same Platformer article then says that they believe the supposed 1000x boost is no longer in effect, but they guess something else must be in place. The Guardian article doesn't bother to mention that part.


> This story is based on interviews with people familiar with the events involved and supported by documents obtained by Platformer.

I think you might want to check the article again. The interviews were not just based on fired engineers. EM did fire one engineer after he told Musk that interest in Musk was declining.


Agree about meat, however, the article still made me think.

> What people see feels organic. In reality, they’re engaging with what’s already been filtered, ranked, and surfaced. Naturally, I— and I think many humans have this too- often perceive comments/content that I see as a backscatter of organic content reflecting some sort of consensus. Thousands of people replying the same thing surely gives me the impression of consensus. Obviously, this is not necessarily the truth (and it may be far from it even). However, it remains interesting, because since more people may perceive it as such, it may become consensus after all regardless.

Ultimately, I think it’s good to be reminded about the fact that it’s still algorithmic knobs at play here. Even if that’s something that is not news.


really appreciate the constructive criticism — you're totally right, i should’ve highlighted the sources more clearly.

there were three main pieces of actual evidence i leaned on:

1. the nytimes story on account silencing, https://www.nytimes.com/interactive/2025/04/23/business/elon...

2. the visible boost of low-value tweets (though i should have connected to the x api hose and quantify the data),

3. this paper — https://github.com/timothyjgraham/AlgorithmicBiasX/blob/3f4c...

which actually didn’t make it to the the post because the essay was basically finished by the time i remembered i had it. I should have included it. it shows an algo change that boosts elon’s reach specifically.

every other source was speculative:

superbowl fiasko - https://www.theguardian.com/technology/2023/feb/15/elon-musk... - little evidence

elon forced 100 engineers to boost his tweets ? - hearsay

there are also supposed whistle blowers - https://substack.com/@theconcernedbird/p-154577954 - but again. no evidence.

And the algorithm is still closed source.

i’m sorry the writing beyond the graph didn’t land for you.

mr gruez - I'll do better next time.

-- the author


They are upvoting because they hate Elon Musk. It's not that deep.




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