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JFC why would you ever admit something like this so publicly?!?!

Sure, infidelity has been officially No Big Deal™ for decades now but even with no-fault divorce this shit is still relevant in court when it comes to arguing over alimony and custody issues. And even if they were just dating and weren't financially or legally entangled and the guy she cheated on can make a clean getaway, this is still not exactly something you want to broadcast for the world to see.

Her family probably doesn't want this kind of thing aired publicly. A potential employer doesn't want to see applicants saying shit like this publicly either (and probably won't want to hire a cheating slag anyway just to avoid lots of drama and embarrassment) and no potential mate is going to see that and think "oh boy she's wife/mother material for sure!" If anything, she's signaling that she's an easy lay who isn't worth a long-term commitment. That leads to spinster/cat lady for her.

The internet really has made a lot of people supremely stupid.
 
It's difficult explaining to people that statistics are raw data and need to be interpreted. IE the average human has less than 2 arms or less than 1 head.
Good way to describe how everything needs context.
If you look at data the wrong way you can invent whatever answer you want? That's literally all you are doing.

"We used imprecise language and bad math to say people have one ball"
 
If you look at data the wrong way you can invent whatever answer you want? That's literally all you are doing.

"We used imprecise language and bad math to say people have one ball"

Do you not understand this is what I just said? Raw data is meaningless without a lens to view it. If you just look at the data and not how, what, where, when, and why it was collected you come up with irrational statistics, just like people having less than 1 head on average.
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The average person has 2 arms, because we know that the average person isn't defined as a person born with defects or a victim of an accident, etc...
Twisting statistics is one of my favorite past-times as is untwisting them.
Off the top of my head I can argue that from (iirc 2016 fbi statistics) that black people and white people are both the most persecuted race in the US.
Statistically black people are 40% more likely to be pulled over per capita. The real data behind that was .4% chance vs .56% chance. But .56% is 40% greater than .4% so I didn't lie.
Statistically white people face the most police interactions. White people, specifically white males face far more police interactions than any other race/gender combo. Real data: Reason why? Commuting, police police the most actively during rush hour and take more calls, niggas don't work, nor do women. Same data set, 2 statements that seem contradictory but reality is what I make it.

It's why memes I find memes like this hilarious.
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Statistically speaking, if I were in a room with President Obama, there is a higher chance he would murder me, than I would him.

Point being, don't let people dictate statistic to you and take them as gospel. If you care, find the raw data and interpret it for yourself.
 
The average person has 2 arms, because we know that the average person isn't defined as a person born with defects or a victim of an accident, etc...
That's not what "average" means, it means the sum of the values of a set divided by the number of members of the set. The word you're looking for is "normal."
 
That's not what "average" means, it means the sum of the values of a set divided by the number of members of the set. The word you're looking for is "normal."
The average person has 2 arms. The average number of arms people have is less than 2. There are more two-armed people than amputees contributing to the statistic, making the "average person" the one with both arms.
 
That's not what "average" means, it means the sum of the values of a set divided by the number of members of the set. The word you're looking for is "normal."
This is kind of exactly the point with how you filter the data. But my statement was meant to exclude outliers from the data, which when it comes to human make average = normal when you exclude abnormal data (for lack of a better word).
 
Solid point. Let's say the mode person has both arms and the average person is missing a fingertip or two, even though that doesn't accurately reflect reality.
Also got to look at what it means to have less than an arm, is an arm cut off at the elbow .5 of an arm or do we add extra weighting to the hand because when most of us think of arms, the function of the hand is included. Maybe losing a hand is .9 of the arm. But then losing a finger that isn't the thumb could probably count for nothing.
And that's the issue with raw data, statistics, and interpretations in a nut shell.
 
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