Science Scientists Have Found a Connection Between Nose Size and Penis Size


We've all heard the myth that big feet equals a big penis, but new science has emerged which suggests that it's actually the size of your schnozz which indicates the size of your schlong.

A survey published in Basic and Clinical Andrologymeasured the stretched penile length (SPL) of 126 adults aged between 30 and 60 alongside a range of other data including nose size, height, and weight, and found a direct correlation between nose size and penis length. (SPL was used as a benchmark because that tends to be a good average indicator of how big a penis will get when it's erect, so this study may not apply to people who are growers not showers.)

In a short new video on his social channels, surgeon and YouTuber Dr. Anthony Youn breaks down the findings of the study, with the key takeaway being: "Men with larger noses had an average wiener length of 5.3 inches, whereas men with shorter noses had an average length of 4.1 inches."

Youn goes on to joke that the Incredible Hulk, who is depicted in the MCU as having a pretty squat button nose, would have a proportionally very small penis, while a cartoon character like Butt-Head (of Beavis & Butt-Head fame) would be incredibly well-endowed.

In the study, researchers concluded that nose size is likely the most definitive indicator of penis size. "The fact that nose size is related to SPL indicates that penile length may not be determined by age, height or body weight but has already been determined before birth," they wrote.

There goes that "big feet" theory.

 
alongside a range of other data including nose size, height, and weight, and found a direct correlation
We call this "p-hacking." Some of the most blatant I've seen in a while. Put simply, if you have a bunch of data sets and look at them alongside each other you'll probably find some "significance" in correlation between at least two sets, even if they're all actually independent.
 
We call this "p-hacking." Some of the most blatant I've seen in a while. Put simply, if you have a bunch of data sets and look at them alongside each other you'll probably find some "significance" in correlation between at least two sets, even if they're all actually independent.
I remember there was a gag website some time back that did this sort of shit as a joke.
It would just spit out completely random correlations that just happened to hit that P<0.05 mark needed for statistical significance.

That aside, more sophisticated methods of p-hacking exist. One of the more insidious ones involves continously collecting data and then stopping once you hit the mark. All possible permutations exist in an infinite set, so you can use this fact to even come to the opposite conclusion from reality with a mix of luck and a hatred for intellectual integrity.
Studies involving a seemingly arbitrary number of participants (like 7849 people) is a good sign that this sort of thing is going on.
 
We call this "p-hacking." Some of the most blatant I've seen in a while. Put simply, if you have a bunch of data sets and look at them alongside each other you'll probably find some "significance" in correlation between at least two sets, even if they're all actually independent.
I was just saying yesterday that out of pretty much all the classes I took in school, statistics is the one that remains the most useful (even if you just do the rough math) and probably most important. And this just proves it again.

Also, any ladies down to Netflix and chill? My pic:
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That aside, more sophisticated methods of p-hacking exist. One of the more insidious ones involves continously collecting data and then stopping once you hit the mark. All possible permutations exist in an infinite set, so you can use this fact to even come to the opposite conclusion from reality with a mix of luck and a hatred for intellectual integrity.
Studies involving a seemingly arbitrary number of participants (like 7849 people) is a good sign that this sort of thing is going on.
I worked a couple of summers doing phone surveys for a company that was hired by government services to see how people experience ambulance / police / firemen response. There was always a chance of every survey being closed prematurely. They'd call in everyday to see preliminary results and any research could be nixed at any time if it was going in the wrong direction.

There were more studies cancelled than completed.

So yeah, fuck all data in a society where people have no belief in extranatural forces with capacity to punish you for wrongdoing.
 
If that's true, then why do so many white women say the stubby nosed black people have huge dicks?
"Men with larger noses had an average wiener length of 5.3 inches, whereas men with shorter noses had an average length of 4.1 inches."
Hey wait a minute, something's off here, isn't the average dick length for men 6 inches?
 
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