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True Size Odds?

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It’s not like rolling a dice at all. Rolling a dice is binomially distributed since Rolling a dice is discrete data. Penis size on the other hand is normally distributed since penis size is continuous data.

Originally Posted by mchammer12345

It’s not like rolling a dice at all. Rolling a dice is binomially distributed since Rolling a dice is discrete data. Penis size on the other hand is normally distributed since penis size is continuous data.

An unusual first post on a PE forum. :)


Heat makes the difference between gaining quickly or slowly for some guys, or between gaining slowly instead of not at all for others. And the ideal penis size is 7.6" BPEL x 5.6" Mid Girth.

Basics.... firegoat roll How to use the Search button for best results

No offense, but worrying about this stuff is sort of pathetic. You guys should be doing PE to give girls even MORE pleasure than you already give them, not because of some imaginary race to be the best in the cock contest.

Originally Posted by mchammer12345
It’s not like rolling a dice at all. Rolling a dice is binomially distributed since Rolling a dice is discrete data. Penis size on the other hand is normally distributed since penis size is continuous data.

Nah, this is a bit off.

Binomial distributions count the number of successes in some # of independent bernoulli trials. It is a discrete random variable, but not all discrete random variables are binomial. Also, when you roll dice you usually sum them up, not count the number of 6’s you roll. I don’t know what name you would give the distribution where you sum up the results of n rolls, but I know that it approaches the normal distribution if you roll enough dice.

Furthermore, penis size can’t be perfectly normal, because there’s a limit imposed on minimum size in real life: you can’t have a dick less than zero inches. Also if you look at the studies, the data is skewed very slightly towards the right (towards larger sizes).

Originally Posted by Equine Rooster
Can you multiply the length odds times the girth odds? Wouldn’t that be the same as rolling two dice and calculating the odds?

There is definitely going to be some correlation between length and girth. I would find it very interesting know what this is.

We are a bunch of lunatics playing in the grass under a full moon aren’t we.


Speak softly carry a big dick, I'm mean stick!

Some of the math going on in this thread makes my brain sad.


Working on getting ABSURDLY thick - Latest picture - Late 2010

Originally Posted by brazillionaire
Binomial distributions count the number of successes in some # of independent Bernoulli trials. It is a discrete random variable, but not all discrete random variables are binomial. Also, when you roll dice you usually sum them up, not count the number of 6’s you roll. I don’t know what name you would give the distribution where you sum up the results of n rolls, but I know that it approaches the normal distribution if you roll enough dice.

True, but in this instance with the questions; what are the chances of getting one 6, two 6’s, three 6’s in a certain number of rolls the situation would be modelled binomially.

However with the questions; what are the chances of finding one person with 8 inches, two people with 8 inches, 3 people with 8 inches in a certain number of people the situation would be modelled normally even though as you stated it isn’t perfectly normal.

The above post was meant to state that firstly you would model penis size through a normal distribution to find the probability of finding someone with an 8 inch penis, then you would use that probability in a binomial distribution to answer the questions; “what are the chances of finding one person with 8 inches, two people with 8 inches, 3 people with 8 inches in a certain number of people?”

Originally Posted by kingpole
We are a bunch of lunatics playing in the grass under a full moon aren’t we.

I always have been, always will be.


Sept. 4, '07: BPEL 6.875 inches, EG widest 5.25

Goal: Double digits

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