Make this the last time, wooly headed codger*rippy38 » 16 Apr 2024, 3:00 pm » wrote: ↑ Just stating it without providing an example (like I did this morning when you lied) doesn't hold water Rico.
They should have covered that in your political science class at Brown.
What self imposed "rules" do I adhere to on this forum?
None... because you're just pulling that out of your *** too.
You really suck at this.
ConsRule » 16 Apr 2024, 2:57 pm » wrote: ↑ No more answers until you post your positions.
But it appears you answered one question...you're a lying coward.
I don't care about your position on abortion.ConsRule » 16 Apr 2024, 3:04 pm » wrote: ↑ You're a lying coward...you have no integrity, so it is impossible to impugn it.
Please do.*rippy38 » 16 Apr 2024, 3:02 pm » wrote: ↑ LOL
Shall I go find "my words" for you?
Hang on just a second...
You haven't done **** yet.Vegas » 16 Apr 2024, 2:56 pm » wrote: ↑ Turns it on me. 100% accuracy.
Rule idiot. **** your ignorance or 3k greenies.
What is survivorship bias, your words only. And **** your incorrect definition.
1. Turn it on me
Here was what I posted last night...R.Suave » 16 Apr 2024, 2:59 pm » wrote: ↑ You gave an example...and your definition demonstrated a very limited understanding of the concept.
And then followed it up with...*rippy38 » 15 Apr 2024, 5:50 pm » wrote: ↑ Dude, I'm a WWII buff... and one of the best examples of survivor bias came about during that conflict.
The brass was analyzing where the bullet holes were in returning aircraft and ordering extra armor plating in the areas that suffered the most hits... when in reality they should have been plating the areas where the surviving aircraft weren't hit, since the planes that took hits in those areas, never came back at all.
That is a classic example of the theory.
Now where was I wrong?*rippy38 » 15 Apr 2024, 5:55 pm » wrote: ↑ The first example you offered is close, but not quite there... and the second is a copy and paste that explains it much better.
In layman's terms, it's reacting/acting upon what the winners did while discounting why the losers lost in the first place... which is where the improvement is actually needed.
When an ancestor stands their time, their sole position is always here now regardless where one is at living geographically displaced in this atmosphere since conceived to replace the 30 lifetimes of their previous 4 generations added them to adapting as self evidently alive.Vegas » 16 Apr 2024, 10:02 am » wrote: ↑ He doesn't have a stand on anything. Let's count the number of times he will:
1. Turn it on you
2. Ask questions
3. Make demands.
*rippy38 » 16 Apr 2024, 3:10 pm » wrote: ↑ Here was what I posted last night...
And then followed it up with...
Now where was I wrong?
I will concede that I never said "close but no cigar" and did say "close but not quite there" instead... but that minor faux pas in no way impugns my integrity.
Survivorship bias is a statistical concept, not just an episode in the Pacific.which is where the improvement is actually needed
Depending, of course, on your definition of "no cigar"...I will concede that I never said "close but no cigar" and did say "close but not quite there" instead
Your definition was incomplete. You said sample and population? Big **** deal. Yeah, that's pretty much the foundation of statistics you stupid asshole. Now complete the definition. Now!R.Suave » 16 Apr 2024, 3:16 pm » wrote: ↑
Survivorship bias is a statistical concept, not just an episode in the Pacific.
I described it in statistical terms, specifically "sample" and "population".
****.R.Suave » 16 Apr 2024, 3:16 pm » wrote: ↑
Survivorship bias is a statistical concept, not just an episode in the Pacific.
I described it in statistical terms, specifically "sample" and "population".
Correctly.
I will cite an example once I see you ask
@Vegas for his definition, or his admission.
Depending, of course, on your definition of "no cigar"...
That's close but misses the meat of it.R.Suave » 09 Apr 2024, 9:33 am » wrote: ↑ When a sample fails to reflect "mortality" in the population being examined.
Now you post an example.
*rippy38 » 16 Apr 2024, 3:30 pm » wrote: ↑ ****.
Your definition is as follows...
That's close but misses the meat of it.
Survivor bias doesn't exclusively refer to mortality, nor does it exclude the positive completely.
Another example is applying it to something to something such as analyzing a football game by only studying the winning teams tactics instead of analyzing what the losing team did wrong as well.
I was right.
You still don't understand the concept at all.
Tell Brown your daddy needs his money back.
Vegas » 16 Apr 2024, 3:19 pm » wrote: ↑ Your definition was incomplete. You said sample and population? Big **** deal. Yeah, that's pretty much the foundation of statistics you stupid asshole. Now complete the definition. Now!
Nailed it!Vegas » 16 Apr 2024, 3:42 pm » wrote: ↑ He does that ****. He posts things that are fundamental , then turns around and pretends he is some sort of genius.
He said "sample and population." Then he brags about using those words. He is so pathetic. That's like knowing the English alphabet, then turning around claiming that you are a literary genius.
@R. Suave die.
Survivorship bias is a type of sample selection bias that occurs when an individual mistakes a visible successful subgroup as the entire group. In other words, survivorship bias occurs when an individual only considers the surviving observation without considering those data points that didn't “survive” in the event.
I learned about it getting my Charter.*rippy38 » 16 Apr 2024, 3:30 pm » wrote: ↑ ****.
Your definition is as follows...
That's close but misses the meat of it.
Survivor bias doesn't exclusively refer to mortality, nor does it exclude the positive completely.
Another example is applying it to something such as analyzing a football game by only studying the winning teams tactics instead of analyzing what the losing team did wrong as well.
I was right.
You still don't understand the concept at all.
Tell Brown your daddy needs his money back.
Nice copy and paste... and it explains perfectly both of the examples I've provided.R.Suave » 16 Apr 2024, 3:59 pm » wrote: ↑ Survivorship bias is a type of sample selection bias that occurs when an individual mistakes a visible successful subgroup as the entire group. In other words, survivorship bias occurs when an individual only considers the surviving observation without considering those data points that didn't “survive” in the event.
That was the original reference definition, pillock.*rippy38 » 16 Apr 2024, 4:05 pm » wrote: ↑ Nice copy and paste... and it explains perfectly both of the examples I've provided.
The "surviving observation" could be the winning team in a football game, or aircraft returning to base from a combat mission.
By situations apply in the concept.
Be sure to provide the source on your C&Ps. Nobody likes a plagerist. Just ask Joe Biden.