All I see is a big sign that says “Free $47, paid for by your sucker in chief”
The call(er) was coming from inside the house?
We just recognized the comment it should’ve been a reply to and acted accordingly. All is going well
actually decent men are aware that they are complicit by their very existence as men under the patriarchy
Could you fucking imagine saying this about any other group of people
I don’t think that slogan communicates what you’re saying here well, if at all
You’re extrapolating from one data point, nfts are crypto
Get a clue moron, maybe if people stopped being literal cartoon villains and trying to commit treason we’d stop sending them to jail.
That keeps happening
We need this for sure
Don’t they already have a stockpile from last time?
These people need to be banned from doing this lmao
Two words folks: Torment Nexus
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!”
Vance: 0 true/mostly true
lmao I don’t know what I expected
4 rolls. Amateurs
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
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.
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.
Even if you were right and this were relevant, this would not be a statistical anomaly, it would be a methodology failure
Maybe you should try posting more often then ;)