TinyPrincess
Mythical Member
- Joined
- Mar 26, 2008
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- Location
- Copenhagen (Capital Region, Denmark)
- Sexuality
- 100% Straight, 0% Gay
- Gender
- Female
They said so...And you know that how exactly?
They said so...And you know that how exactly?
I will return soon with pics!I'm in a great mood today, so I'll make you a deal - provide proof of 9.9" and I'll accept it as a true 10".
I only have measuring tape so I need to go out and buy a ruler, I'm also at work, it's currently the middle of the day here.Im guessing Newly10inches is a phony?
How long could it take to take a picture/video.
I only have measuring tape so I need to go out and buy a ruler, I'm also at work, it's currently the middle of the day here.
I will share my gift with all of you, when I'm home,I'm not taking dick pics in the work bathroom.Bro if your dick is 10 inches non bone pressed just started throwing pictures up next to whatever you find thats nearby. I doubt anyone is going to believe just one single picture anyways. Has to be a series of consistent pictures in a short time frame.
I mean I wonder how he calculated those roughly 12 people since so many SD's above the average in a normal distribution doesn't even get calculated anymore by any statistician since it makes no sense and is like 1% reliable.Someone on reddit simulated the dicksize of the whole adult male population (~ 2.6 Billion men).
He used the calcsd Western dataset, which doesn't even include East and South Asian data.
2.6 BILLION dicks simulated! : bigdickproblems
The world's adult male population is around 2.6 billion ... so a simulation for this population had to be run!
Key results : There are 12 guys with 10+" dicks in this simulated world! The longest guy is 10.27" long. The maximum girth seen was 8.55". Only one guy is over 8" girth. The biggest volume seen is a startling 25 US fl oz.
This used the calcsd Western dataset Mean and SD to create random lengths.
A mean girth was calculated for each individual length ... based on a girth-length correlation that I evaluated a while back.
The girth was then randomized using a first order len-girth-SD relation that I have obtained from a dataset I have.
Note: Recently I have been using an interesting 2nd order equation for this len-girth-SD relationship ... but this massive run revealed that the 2nd degree version was insufficiently valid at the far extremes to be reliable. I therefore switched to a more boring 1st order equation. This leads to fewer very girthy guys at huge dick lengths. I will revisit this at a later date.
(These results make me wonder about the frequency of big flairs on this sub.)
RESULTS: units: inches, BPEL and US fl oz
Samples: 2600 000 000
Max len: 10.27
Min len: 1.07
Mean len: 5.67
Max girth: 8.55
Min girth: 1.91
Mean girth 4.71
Max volume: 24.99
Min volume: 0.53
Mean volume 4.85
Lengths:
0.0 to 0.5 0 ( 0 %)
0.5 to 1.0 0 ( 0 %)
1.0 to 1.5 35 ( 0 %)
1.5 to 2.0 1231 ( 0 %)
2.0 to 2.5 29577 ( 0 %)
2.5 to 3.0 451322 ( 0 %)
3.0 to 3.5 4472790 ( 0 %)
3.5 to 4.0 28801715 ( 1 %)
4.0 to 4.5 120626695 ( 4 %)
4.5 to 5.0 328790722 ( 12 %)
5.0 to 5.5 583683897 ( 22 %)
5.5 to 6.0 675192219 ( 25 %)
6.0 to 6.5 508968139 ( 19 %)
6.5 to 7.0 249955851 ( 9 %)
7.0 to 7.5 79934093 ( 3 %)
7.5 to 8.0 16632761 ( 0 %)
8.0 to 8.5 2249467 ( 0 %)
8.5 to 9.0 197799 ( 0 %)
9.0 to 9.5 11262 ( 0 %)
9.5 to 10.0 413 ( 0 %)
10.0 to 10.5 12 ( 0 %)
10.5 to 11.0 0 ( 0 %)
Girths:
0.0 to 0.5 0 ( 0 %)
0.5 to 1.0 0 ( 0 %)
1.0 to 1.5 0 ( 0 %)
1.5 to 2.0 4 ( 0 %)
2.0 to 2.5 2531 ( 0 %)
2.5 to 3.0 403086 ( 0 %)
3.0 to 3.5 16495634 ( 0 %)
3.5 to 4.0 189478673 ( 7 %)
4.0 to 4.5 699994021 ( 26 %)
4.5 to 5.0 959244750 ( 36 %)
5.0 to 5.5 556314357 ( 21 %)
5.5 to 6.0 153656124 ( 5 %)
6.0 to 6.5 22420782 ( 0 %)
6.5 to 7.0 1887474 ( 0 %)
7.0 to 7.5 99029 ( 0 %)
7.5 to 8.0 3442 ( 0 %)
8.0 to 8.5 92 ( 0 %)
8.5 to 9.0 1 ( 0 %)
9.0 to 9.5 0 ( 0 %)
Volumes:
0 to 1 12070 ( 0 %)
1 to 2 13410820 ( 0 %)
2 to 3 207657258 ( 7 %)
3 to 4 597256177 ( 22 %)
4 to 5 721187132 ( 27 %)
5 to 6 535342242 ( 20 %)
6 to 7 297303106 ( 11 %)
7 to 8 137676980 ( 5 %)
8 to 9 56672889 ( 2 %)
9 to 10 21573758 ( 0 %)
10 to 11 7795096 ( 0 %)
11 to 12 2718721 ( 0 %)
12 to 13 926046 ( 0 %)
13 to 14 312356 ( 0 %)
14 to 15 103509 ( 0 %)
15 to 16 34765 ( 0 %)
16 to 17 11313 ( 0 %)
17 to 18 3881 ( 0 %)
18 to 19 1196 ( 0 %)
19 to 20 449 ( 0 %)
20 to 21 160 ( 0 %)
21 to 22 46 ( 0 %)
22 to 23 14 ( 0 %)
23 to 24 13 ( 0 %)
24 to 25 3 ( 0 %)
25 to 26 0 ( 0 %)
UPDATE #1:
UPDATE #2
- The calcsd Western dataset length & girth means etc are: 5.67" (SD 0.75") x 4.64" (SD 0.58") BPEL
- You can find your own volume details from the calcsd site.
- My volume calculation is not the same as the calcsd version ... but the results are surprisingly close.
- calcsd is at calcSD - Full Penis Size Percentile Calculator ..... use the Western dataset
- I used my new laptop to run the simulation. I was amazed that each run only takes about 15 minutes. It would take HOURS on any of my many old desktops. That laptop performance makes me realize that AI runs might be possible on a modern PC even without a GPU.
- It would seem that a length of 7.5"+ and/or girth of 6.0"+ and/or a volume of 9+ US fl oz indicate an unconditionally big dick.
- The most interesting zone is the 7.0"-7.5" and 7.5"-8.0" length area. This is the area which influence anecdotal reports of dick sizes most.
- From my observations over the last months I would suggest that the 6.0"-7.0" zone is where many guy seek validation that they are indeed HUGE.
- I have noted elsewhere that lengths below 6.8" are not necessarily visibly big.
- Lengths over 9" are VERY rare. Girths over 7" are VERY rare. Consider that when you review flairs.
So based on this, max. 12 people have 10 - 10.5 inches. Probably even less, since this didn't include Asian studies and the Asian population is massive compared to the rest of the world. So my guess would be about 5 men on earth have 10 inches, so good luck finding them here!![]()
I mean I wonder how he calculated those roughly 12 people since so many SD's above the average in a normal distribution doesn't even get calculated anymore by any statistician since it makes no sense and is like 1% reliable.
Hypothetically if someone is genuinely 10 inches long npel and they don’t want their photos all over the internet forever. And they Skype you and measure they penis in front of you. Would you pay them still?They said so...![]()
I will share my gift with all of you, when I'm home,I'm not taking dick pics in the work bathroom.
Hypothetically, yes.Hypothetically if someone is genuinely 10 inches long npel and they don’t want their photos all over the internet forever. And they Skype you and measure they penis in front of you. Would you pay them still?
I think a legit 7" 100% soft dick would be really rare. But it would also be nigh impossible to tell if the guy is indeed soft... I mean, with a few tricks you can make your "soft" length appear to be bigger than the erect length, lol.What erect girth size and flaccid length size is just as rare as a 10inch erect length
What about erect girth?I think a legit 7" 100% soft dick would be really rare. But it would also be nigh impossible to tell if the guy is indeed soft... I mean, with a few tricks you can make your "soft" length appear to be bigger than the erect length, lol.
I agree, the Gaussian distribution is a well defined curve, but models estimating percentiles are approximate, and become unreliable at extreme values. Robert Wadlow stood at 8' 11", which would be about 12 standard deviations above the mean. A calculation based on the normal distribution would indicate the probability of such a height existing in any person would be close to zero. The normal distribution didn't account for his pituitary tumor.
Well it says in the post: ADULT male population. No underage persons are included in this study, wouldnßt make any sense.
The data set is explained here: calcSD - The calcSD Global Average (v4)
It includes 54 studies about penis size in the whole world. Also it says the following:
Additionally, to make this average more representative of the general adult population, we have excluded:
So the 54 studies are all not self-reported.
- Many nonrandom samples with potential size biases (such as those gathering individuals complaining of small penis)
- Samples with appreciable proportions of underaged/undeveloped individuals
- Studies that do not provide mean, SD, and adequate sample size
- Data from incompatible measuring techniques
- Data that is self-reported or otherwise unreliable