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/vt/ - Virtual Youtubers

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>> No.47212394 [View]
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47212394

>>47212301
Oh.

Also
>Mumei's character is just going to be XD FORGOR HAHAHA GET IT FORGOR HAHA

I hate this dev now.

>> No.45334334 [DELETED]  [View]
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45334334

MOOM WAS FIRE

>> No.41346464 [View]
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41346464

>>41346404
So hot!

>> No.32234503 [View]
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32234503

>>32233833
>where can I read which stat or metric is more/less important? If there is a source on that I can understand, but if there is none then, uh.
There's no "handbook" or anything like that, but the best that I can tell you is this:
It's unironically statistics classes where you can learn shit about this.
Now, I know for a FACT that most people here haven't taken college-level Stats classes, but I have, and so I can understand why people would be willing to downplay this and that metric over this and that one. Metrics are notoriously malleable. STATISTICS AS A WHOLE is a notoriously malleable field. You can shape statistics to say whatever you want to say, really, as long as you pair the right stat with the right claim.
For the "Average vs Median," you get fights about how it's measured. Do you measure someone by their peaks, or do you sum their averages up across all streams, or do you average out each of the streams and find a median from that, etc, etc. Any way you slice it, you'll get different data, and rankings will change.
This is why you measure out a fuckton of different stats to try and get a close understanding by comparing and contrasting what the data tells you for each stat. This is why for even basic statistics at a higher level than children's math, you're supposed to measure:
>Count
>Sum
>Min. Number
>Max. Number
>Range
>Median
>Mode
>Mean
>Variance
>Standard Deviation
and all of that is just to get CLOSE to a decent understanding of a statistic.
Statistics is an absolute, utter hellscape. There's more than enough reason to dismiss nearly any individual statistic if it isn't being run through a high level analysis, and even then, the whole thing can be a crapshoot depending on your dataset.
And even if you get a good dataset, a good analysis, and a strong outcome from that analysis, you could be fucked into the ground on just one question: "Have you taken the right externalities into account?" If you miss even one externality that's important, your entire fucking dataset is a fucking joke.
It's hell, absolute hell, utter hell, and I blame no one for wanting to just use their gut half the time.

>> No.31718690 [View]
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31718690

>>31718659
Why yes

>> No.30236148 [View]
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30236148

>>30235941
Don't act like a retard when you're handling dangerous stuff.

>> No.28530137 [View]
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28530137

>>28530008
Here's an argument to get really fired up about:
Mumei's opinion on chipotle sauce being the best dipping sauce is objectively wrong and honey mustard and sweet and sour are the best ones

>> No.21969597 [View]
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21969597

Where moom

>> No.21836351 [View]
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21836351

>> No.21764947 [View]
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21764947

>> No.21606187 [View]
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21606187

Moom...

>> No.21499524 [View]
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21499524

>> No.21312828 [View]
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21312828

>>21311670
I'm imagining
https://litter.catbox.moe/vt4fdi.png
https://litter.catbox.moe/hp24do.jpg
https://litter.catbox.moe/234lqg.jpg

>> No.21216385 [View]
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21216385

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