patrick.net

https://x.com/elonmusk/status/1786085683565605353

gabbar says

Fuentes is a Fed, and probably a Groomer. He has no enemies on the right, he only attacks the center-right. He seldom attacks the Left. His job is to destablize the populis right so the status quo can win. Bookmark this.

AmericanKulak says

gabbar says

Fuentes is a Fed, and probably a Groomer. He has no enemies on the right, he only attacks the center-right. He seldom attacks the Left. His job is to destablize the populis right so the status quo can win. Bookmark this.

Only time you've said anything resembling you can use your brain.

I just went to X and saw this right away. I didn't have to look for this example, it fell into my lap while I was looking for Trump Rally stream.

Nina Turner is a Democratic politician from Cleveland, Ohio area

gabbar says

Nina Turner is a Democratic politician from Cleveland, Ohio area

LOL! Ghetto pathogen philosophy: grow up with Mama beating it into your thick hide and skull that robbing Whitey is honorable. Then, puzzle when the doors clang shut on you in prison. Moral imbeciles with a Soros pay stub are still moral imbeciles.

AmericanKulak says

I just went to X and saw this right away.

After its woke owners were bought out by Elon, Twitter is the wild wild west of the world, not just the US, right now.

Our society is run by insane people for insane objectives. I think we're being run by maniacs for maniacal ends and I think I'm liable to be put away as insane for expressing that. That's what's insane about it.” – John Lennon

Anyone know who she is?

I do think that dual citizenship should be absolutely prohibited.

You're American or you're not, no other options.

An admissions slot for UCLA Med School just opened up.

https://t.me/qthestormrider777/21448

On the bright side, she could identify 800 brands of sneakers and fingernail polish, and spot an Uzi bulge three blocks away. Also, it stimulates the 'lame excuses' cortex when challenged. One needs culturally appropriate material.

https://t.me/qthestormrider777/21434

Well, it's definitely not the Department of Weight Corrections. On the bright side, they don't need bullet proof vests, they can carry a fusillade in those rolls and never skip a beat.



https://resistthemainstream.com/correction-officer-under-fire-over-racist-biscuits-and-gravy-post-sparks-firestorm-online/

https://x.com/calleymeans?lang=en

How the fook can this go on?

Hey, don't knock, it. They're packing and heading to Harvard and UCLA Med bearing Netflix scripts.

https://t.me/SGTnewsNetwork/67486

OK, it is funny.

The I Am Ready To Settle Down Now Burger:

Yeasty!
UkraineIsTotallyFucked says

The I Am Ready Too Settle Down Now Burger:

Ironically, he is showing stupidity by confusing mean (average) with median.

HeadSet says

Ironically, he is showing stupidity by confusing mean (average) with median.

How?

UkraineIsTotallyFucked says

HeadSet says

Ironically, he is showing stupidity by confusing mean (average) with median.

How?

The 'mean' is the midpoint at which fifty percent of data points are above and fifty percent below. The data points can be weighted, however, so that the 'average' can be some value at variance with the mean. The 'average' value, for instance, might be at the data points that are forty percent below and sixty percent above due to weighting, or some other point.

People use them interchangeably but they are not the same thing. He should have said 'mean' rather than 'average'.

UkraineIsTotallyFucked says

HeadSet says

Ironically, he is showing stupidity by confusing mean (average) with median.

How?

Mean (average) is summing up n numbers and dividing by n. The average is rarely the middle point. The point in a group of numbers where half are below and half are above called the median.

HeadSet says

Mean (average) is summing up n numbers and dividing by n. The average is rarely the middle point. The point in a group of numbers where half are below and half are above called the median.
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So?

You can derive a number from an average and apply a median to that, too. It's deriving a median
from a subset of numbers, so what?

UkraineIsTotallyFucked says

You can derive a number from an average and apply a mean to that,

?? "Mean" and "average" are synonymous.

HeadSet says

UkraineIsTotallyFucked says

HeadSet says

Ironically, he is showing stupidity by confusing mean (average) with median.

How?

Mean (average) is summing up n numbers and dividing by n. The average is rarely the middle point. The point in a group of numbers where half are below and half are above called the median.

Standardized tests like the SAT and the Stanford-Binet IQ test are taken by millions of people. As such, the law of large numbers applies; namely, the distribution of the standardized distribution of scores (score - mean)/(std. deviation of score) converges to a normal distribution with mean 0 and standard deviation of 1. A normal distribution is symmetric about its mean; i.e., mean=median.

In this case, Carlin is right, although to @Headset's point, it might be coincidental if Carlin is unaware of the law of large numbers and how standardized test scores are distributed.

Disclosure: Statistician by training.

stereotomy says

Standardized tests like the SAT and the Stanford-Binet IQ test are taken by millions of people. As such, the law of large numbers applies

Good point. I did not think that IQ would fit a normal distribution, but I looked it up and you are correct. I suspect that is because, as you said, the large n and also because of the relatively small number of possible scores (about 200?).

HeadSet says

stereotomy says

Standardized tests like the SAT and the Stanford-Binet IQ test are taken by millions of people. As such, the law of large numbers applies

Good point. I did not think that IQ would fit a normal distribution, but I looked it up and you are correct. I suspect that is because, as you said, the large n and also because of the relatively small number of possible scores (about 200?).

It applies generally, even to discrete distributions (like the Poisson distribution which has as its basis the counting numbers 0,1,2, . . . ). As long as N is sufficiently large, any distribution of the mean of a sample from a population/source distribution will converge to a normal distribution. IIRC this is the weak law of large numbers. There is a strong law of large numbers as well.

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