If there was a button that would give you $1,000 each time you push it with a 1% chance of dying

13473

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Except that's EXACTLY what it means

On average though

So if one guy can do it 130 times before he loses that doesn't mean that you can too. For you it may even be 75 tries until you crap out
:mjlol: how many times have u had sex? how many kids do u have?
 

Ghost Utmost

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:mjlol: how many times have u had sex? how many kids do u have?

Better question

Had a condom ever broke on you?

Cause that's basically what the 1% is. The 1% of the time where something goes wrong

And it didn't take me 100 condoms to pop one
 

fantabolous

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So in probability with replacement you get one million rolls before you lose?

Y'all keep talking about a theoretical possibility that may happen once in a trillion sequences

I was taking about you die if you get this wrong

So you're telling me a computer RNG set to 1 out of 100 will actually give you something besides 1 out of 100

Why would that be called 1 out of 100 of you truly had no way to predict how many rolls before a loss. On average.

Simple question.

Probability WITH replacement means you WILL NOT get an average of 1 loss per 100 rolls

An average of 1 loss per 100 rolls is factually irrelevant, you're still using the effect to try to explain the cause... EVERY PUSH is independent of any other push. 1/100 is the chances of death every time you push the button. You don't use 1/100 for anything else; any other way you try to use 1/100 is wrong. I cannot explain that any clearer

Probability with replacement does not get you "one million rolls before you lose" it gives you the odds of "not losing" on a specified number of tries.

Examples:

The chance you push once and not die: 99% - net $1000
The chance you push 50 straight times without dying, 60% - net $50000
The chance you push 69 straight times without dying, approx 50% - net $69000
The chance you push 100 straight times without dying, approx 37% - net $100000
The chance you push 400 straight times without dying, approx 1.8% - net - $400000

It's not that difficult to understand, ANY attempt leaves you 1% likely to die. The odds of getting consistent non-death results decrease as your attempts increases but each individual push is the same. It's like the birthday game. Technically the odds are 1/365 of having any individual birthdate, but as you get a bigger group of people you don't have to get to 365 people to almost certainly end up with 2 people who share birthdays.
 
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Max Goonberg

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You wrote all that and still wrong...


the question is direct - would you hit a button that gave you $1,000 but you had a 1% chance of dying


Meaning that every time you hit it, its a 1% chance.. you could be extremely lucky and hit it a million times and win every time, or someone not that lucky could die on the first try..

i cant believe this needs to be explained :snoop:


Debate odds wit a Vegas nikka brehs :mjlol:
 

13473

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Better question

Had a condom ever broke on you?

Cause that's basically what the 1% is. The 1% of the time where something goes wrong

And it didn't take me 100 condoms to pop one

This does not answer my question. I will assume the amount of kids you have does not represent 1-2% of the times you've used condoms since you've attempted to avoid answering


What you state is also untrue in your post

The 98-99% represents the chance you'll avoid pregnancy if you used the condom perfectly. So even if nothing goes wrong she can get pregnant. It does not mean 98-99% of condoms are used perfectly.

In order for what you are saying to be true, with 1 to 2% of the time something going wrong resulting in a pregnancy, then women would have to be ovulating 24/7 and get pregnant every single time something goes wrong. That is impossible
 

CarbonBraddock

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if it's a 1% chance each time, I will press it until I get a million dollars. 1% is basically zero.
 

Tha Gawd Amen

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1-(99/100)^x plug in the amount of time you want to press the button for x to calculate the PROBABILITY that you'd die with that many repetitions. 100 repetitions has expected 63% chance of death for example.
 

Ghost Utmost

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This does not answer my question. I will assume the amount of kids you have does not represent 1-2% of the times you've used condoms since you've attempted to avoid answering


What you state is also untrue in your post

The 98-99% represents the chance you'll avoid pregnancy if you used the condom perfectly. So even if nothing goes wrong she can get pregnant. It does not mean 98-99% of condoms are used perfectly.

In order for what you are saying to be true, with 1 to 2% of the time something going wrong resulting in a pregnancy, then women would have to be ovulating 24/7 and get pregnant every single time something goes wrong. That is impossible

You're treating the stat on the condom package as gospel

That number is PR and advertising and legal maneuvering and all that.

Again. It's not saying a condom that doesn't fail and is used correctly will result in pregnancy.

That number accounts for the human factor as well as has some slush one way or the other for polical/legal purposes.

But the overall idea is: condoms are pretty good. Not guaranteed.

We can't really measure all the possibilities in any reliable way here on the internet

But we all have experience with condoms that fail. And you already know they can and do. If you've used 100 you've have AT LEAST one failure.
 

itsyoung!!

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You're treating the stat on the condom package as gospel

That number is PR and advertising and legal maneuvering and all that.

Again. It's not saying a condom that doesn't fail and is used correctly will result in pregnancy.

That number accounts for the human factor as well as has some slush one way or the other for polical/legal purposes.

But the overall idea is: condoms are pretty good. Not guaranteed.

We can't really measure all the possibilities in any reliable way here on the internet

But we all have experience with condoms that fail. And you already know they can and do. If you've used 100 you've have AT LEAST one failure.
You really not gone let this go huh :mjlol:
 
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