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I think the reason is that investors are not IT experts and don't know better metrics to evaluate.

I guess it's like fake followers on other social media platforms.

To me, it just reflects a behaviour that is typical of humans: in many situations, we make decisions in fields we don't understand, so we evaluate things poorly.


From my experience, the reason is: if pip works, is easy, and is a python standard, why change?


Could it be possible that you confused the number of standard deviations one needs to falsify something? For instance, if two things are different we may want to be as many SD as we can apart. Here, on the other hand, the data agree _within_ 2S D.


Is there anyone who uses it? I see their repo's Initial Commit was on Jan 2026... quite a new package! Also, the number of GitHub stars and forks is quite low.

Does the package have a user base, or did the malicious team target one of the many useless GitHub repos?


> I see their repo's Initial Commit was on Jan 2026... quite a new package!

That's incorrect, the repo and package date back to 2019


You could already play it "easy and without installation" with DOSBox for browsers:

https://dos.zone/grand-theft-auto-1997/


Awesome! Now, what about plotting in 3D? with the coordinates of (f_n, f_{n+1}, f_{n+2}) ?


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