Feathercrown

joined 1 year ago
[–] [email protected] 2 points 8 hours ago (1 children)

Doesn't that only mean that you have to be hostile to their rights, not the other way around?

[–] [email protected] 4 points 8 hours ago

That keeps happening

[–] [email protected] 2 points 11 hours ago

We need this for sure

[–] [email protected] 17 points 22 hours ago

Don't they already have a stockpile from last time?

These people need to be banned from doing this lmao

[–] [email protected] 9 points 22 hours ago

Two words folks: Torment Nexus

[–] [email protected] 6 points 1 day ago

Every time they do this fact-checking they're like "The democrat said republicans want to ban abortions? Well abortion bans have been made by many parties over the past 300 years. Full false. The republican said that democrats want to feed babies to immigrants? Half true, they didn't say they didn't want to do that!"

[–] [email protected] 11 points 1 day ago* (last edited 1 day ago)

Vance: 0 true/mostly true

lmao I don't know what I expected

[–] [email protected] 10 points 1 day ago* (last edited 1 day ago)

"We should let individuals decide if they should have abortions. Oh sorry, I meant individual states."

[–] [email protected] 11 points 1 day ago

4 rolls. Amateurs

[–] [email protected] 10 points 1 day ago

People love to assume something like book smarts vs common sense or brains vs brawn is a scale where going higher on one means going lower on the other

[–] [email protected] 3 points 2 days ago

Sorry, I think you need to brush up on statistics. The relevant measurement here would be the variance (Variation? Variability? Whatever the term is officially called) in the relevant statistic, not the size of the statistic itself. Using the variance and previous average of the deaths per capita statistic, you can calculate the likelihood of the current deaths per capita having this value compared to the past values. If that likelihood is sufficiently low (for most scientific fields, 5% or less), the result is declared significant, since it's different than what we would expect it to be if nothing had changed, and we can say that with a high (>95%) confidence. To learn more about this "predict the chance of the result being within normal bounds and then go "whoa that's weird" when it's not" method, look up "null hypothesis", or even better "statistical significance".

To give a practical example: The number or deaths from car accidents is fairly low per capita, but since we have a very large amount of data available, it has a low variance and we can predict and calculate the ratio very accurately. If you look up a graph of car deaths per capita over time, each year will only have a ratio of like 0.001%, but the variance between years will not be very high, because we have so much data that the little bits of randomness all even out. We can then look at, for example, car deaths per capita for streets with crosswalks vs without crosswalks, and even though they'll both be a fraction of a percent, because they're both measured so accurately we can make confident assessments of that data.

[–] [email protected] 1 points 2 days ago

Finally got some medical stuff sorted out. Also been working on my weight. I finished replayingg the original Kingdom Hearts on PS2 purely for my own enjoyment, which was fun, but I think that was last month.

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submitted 6 months ago* (last edited 6 months ago) by [email protected] to c/[email protected]
 

One of my favorites. All credit to the creator, Cooler Kenadian.

 
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submitted 7 months ago* (last edited 7 months ago) by [email protected] to c/[email protected]
 
 
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