this post was submitted on 21 Jan 2024
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Memes

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Post memes here.

A meme is an idea, behavior, or style that spreads by means of imitation from person to person within a culture and often carries symbolic meaning representing a particular phenomenon or theme.

An Internet meme or meme, is a cultural item that is spread via the Internet, often through social media platforms. The name is by the concept of memes proposed by Richard Dawkins in 1972. Internet memes can take various forms, such as images, videos, GIFs, and various other viral sensations.


Laittakaa meemejä tänne.

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[–] scrion@lemmy.world 12 points 10 months ago (3 children)

In an intuitive sense, yes, absolutely.

But in a mathematical or statistical sense, no. Remember, adding or subtracting any number to/from infinity yields infinity again (also true for other operations). In turn, the mean of any set of numbers that contains infinity is also infinity.

An outlier, however, is defined as a large deviation from the mean. Therefore, everyone with a normal lifespan would be considered a statistical outlier. It's kind of a mathematical pun.

[–] Perfide@reddthat.com 13 points 10 months ago (2 children)

That is NOT the definition of an outlier. There IS no set mathematical definition of an outlier, in fact. What is considered an outlier is greatly determined by what the dataset actually is. Please do more research on what an outlier actually is, even the wikipedia page on outliers is surprisingly high quality(aka has good sources, read those), so it's not hard.

That all being said, let's use your rigid definition. There have been approximately 100 billion humans to have ever lived, from now until all the way back 200,000-300,000 years ago when homo sapiens first emerged. The absolute oldest humans to ever live(ignoring Mr.Immortal) made it to about 120. Mr.Immortal has to be human to be factored into the calculations of human lifespan, so they are at the absolute MOST 300,000 years old.

Now, let's go ahead and say that all 100 billion humans lived to that maximum age of 120. Obviously not even remotely the case, but this is best case scenario here. The mean of a dataset is found by adding all of the numbers in the dataset together and then dividing by the number of data points within the set. So in this case it would be "(120(100,000,000,000) + 300,000) ÷ 100,000,000,001)"

Now if you do the math on that, you find that even with Mr.Immortal included and every human living the absolute longest life possible, the mean is... 120.0000029988.

Now tell me, what is closer to that number, 300,000 or the actual average lifespan of humans(70 something)? It's not even close, and since the rate of population expansion keeps increasing, Mr.Immortal would have to wait for humanity to die out before the mean could ever increase enough to make US the outliers.

[–] RGB3x3@lemmy.world 7 points 10 months ago

Life expectancy... The joke said life expectancy. Not life span.

With a life expectancy of infinity, everyone else is an outlier because the average life expectancy becomes infinite.

[–] scrion@lemmy.world 2 points 10 months ago

As RGB3x3 said, despite your brilliant analysis, you were unfortunately unable to read the meme properly. The meme was of decent quality, so it should not have been that hard.

[–] Laticauda@lemmy.ca 8 points 10 months ago* (last edited 10 months ago)

Uh in both mathematics and statistics I was taught that outliers are data points that differ significantly from the other values in a set of data by either being much larger or much smaller. I've never heard of it being described the way you are presenting it. Yes subtracting or adding anything to or from infinity gets you infinity, but outliers aren't being added to or subtracted from, they're being removed from the data set because they're seen as skewing the data with a measurement or result that is, y'know, an outlier. One person who lives forever is not an accurate representation of the life expectancy of the average human, so they would obviously be the outlier who would be excluded from the data.

[–] Prox@lemmy.world 4 points 10 months ago (1 children)
  1. Generate a histogram of your dataset
  2. See that there's only one sample (the immortal) in the "125+" bin and literally everything else falls into a generally normal distribution
  3. Classify the immortal as the outlier and most likely remove it from your analyses
[–] scrion@lemmy.world -1 points 10 months ago

Thank you senpai, can you explain the steps to carelessly enjoy a joke in a meme community next?