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The Thunder's Place PE data "study"

The Thunder's Place PE data "study"

Hello guys,
I had a little free time a couple of days ago and decided to finally process the data from the PE Statistics site here on Thunder’s. It seemed like an easy task but it actually took a lot of time and I didn’t even manage to do everything I meant to do at the beginning. I did however calculate the total erect gains of 2294 members (pun intended) and the flaccid gains of 1067. I wanted to calculate gains for various intervals of time, such as 3,6,12,24 months, the top 10 gainers in each category (that’s not at all a particularly hard thing to do, I just won’t do it now), etc.

In order to process the data I’ve downloaded it in it’s .csv form and copied all the info to a simple text file. After that I used a Python script (that’s what I did most of the time) to filter the data so it doesn’t mess up my results.

[irrelevant]I have to admit, I could've done that with no classes (no object oriented programming) and in 50 or so lines, but I took a more structured approach because I've forgotten Python a bit and don't feel confident enough to write some cryptic, magical lines of code, and, to be honest - it seemed like more fun. It turned out a bit of a mess though, because I've really forgotten how to write in Python and I'll not be sharing my code with you guys, because I don't like it myself. And most of you probably wont care. :D [irrelevant]

Anyway, on to a more important matter - how I filtered my results. I removed:

  • All entries of all users that weren’t in any sensible limits in order to remove “fake” ones (mostly ones added by mistake, not purposely delusive ones, part of an evil conspiracy). I decided I’d use 2.25-12 for EL, 2.25-10 for EG, 2.25-10 for FL, 2.25-8 for FG and 0.5-3 for Erect Width. There was no statistical analysis prior to choosing those limits, such as mean +- 2*standard deviation, they were chosen based purely on common sense. All entries outside of those limits were, as I said, removed. If you guys decide that the intervals should be different, I'll have no problem changing them and evaluating the entries again, but I doubt that the impact will be big, I'd guess no more than 0.5% of the people would be outside the intervals I've chosen and thus the results won't be greatly influenced.
  • All users with one or zero valid entries for obvious reasons - the gain cannot be calculated with only one valid entry.
  • I was planning to remove all entries that were very far away from the average of all the entries for a given member, but that turned out to be inconsistent, unnecessary and quite frankly - a bit tiresome to program.

After that I calculated gains from the first entry/measurement to the last one and made some “charts” with the help of the R statistical programming language. The distribution wasn’t unexpected but interesting nonetheless. There were a couple of dozen of members who seemed to have a negative gain (just an example in my defence). I haven’t removed those results as they could possibly be true and are statistically unimportant (as in - the numbers for the other gains remain unchanged). I also calculated some curious stats just for fun, such as total length gain.

I do not claim that the results are perfectly correct, after all the whole “thing” depends on the truthfulness of the stats, people have entered. There were a lot of members with one or more “fake” entries and a lot of members with only one entry, but I think the filtering system worked well. It “threw out” more than half of the members, but 2 thousand is still an impressive number. Also, I had an idea about processing all member signatures, but I realized that even html parsing and regular expressions can't help me, because of the tons of different ways people format their “stats signatures”. A lot of members don't update the PE data regularly but keep their sigs updated, so that could result in a way more accurate and detailed “research”, but I fear it's nearly impossible. So that's what you get.

Before I continue I’d like to add that you can ask me for whatever statistics you want, I’ll do my best to make you happy. :D

Now then…
1. Erect Length Gain:

  • Average gain - 0.68 inches. Have in mind that this is calculated when taking the minuses and zeros into account. It’s ~0.77 without those members who have 0.0 or negative gains.
  • Maximal gain - 3.9 inches.
  • Histogram (a graphical representation of the data, similar to plots, charts, etc.) - elghist.jpg attachment.
  • Total erect length gained by the members processed - 1552.32 inches.

2. Erect Girth Gain:
  • Average gain - 0.3 inches. Again, this is with negatives and zeroes included.
  • Maximal gain - 3.0 inches. But it’s the gain of this member and it seems pretty fake. The maximal realistic EG gain is 2.375 inches.
  • Histogram - egghist.jpg attachment.
  • Total erect girth gained by the members processed - 700.59 inches.

3. Erect Width Gain:
  • Average gain - 0.1 inches.
  • Maximal gain - 0.95 inches. But, again, it’s Craven’s so the real maximal gain would be 0.756 inches.
  • Histogram - ewghist.jpg attachment.
  • Total erect width gained by the members processed - 222.93 inches.

4. Erect Volume Gain:
  • Average gain - 3.2 cubic inches.
  • Maximal gain - 30.31 cubic inches and 26.46 taking the second place. In both cases the increase in volume is over 250%. That could be an interesting statistic to make too.
  • Histogram - evghist.jpg attachment.
  • Total erect volume gained by the members processed - an astonishing cubic 7326.48 inches.

5. Flaccid Length Gain:
  • Average gain - 0.64 inches.
  • Maximal gain - 4.5 inches. I’m having some difficulty finding the user with that gain due to the crappy realization of the flaccid filtering (it works, but I can’t search users easily) and I honestly don’t want to work on it now, so it may or may not be fake. The second place is with a gain of 3.81 which is quite plausible (not that 4.5 is not for FL).
  • Histogram - flghist.jpg attachment.
  • Total flaccid length gained by the members processed - 687.32 inches. Notice that the gains are way lower than the EL ones, but the reason behind that (except the obvious one) is that, as I said before, “only” around 1000 members have entered their flaccid statistics.

6. Flaccid Girth Gain:
  • Average gain - 0.37 inches.
  • Maximal gain - 3.293.
  • Histogram - fgghist.jpg attachment.
  • Total flaccid girth gained by the members processed - 394.07 inches.

I feel like I’m forgetting something… Oh, well, I guess I can post again if I remember it.

As I said, if you want any statistics feel free to ask. :)

Attached Images
egghist.jpeg
(20.7 KB, 682 views)
elghist.jpeg
(20.6 KB, 344 views)
evghist.jpeg
(21.3 KB, 190 views)
ewghist.jpeg
(21.4 KB, 151 views)
flghist.jpeg
(20.8 KB, 168 views)

RE-Started (01.10.2012): 4.75'' NBPEL, 4.33'' EG (overall), 3'' NBPFL --- Now: 5.1'' NBPEL, 4.75'' EG (overall), 3.5'' NBPFL

Short-term goal: 5.5'' NBPEL, 4.5'' EG (overall), 3.5'' NBPFL --- Long term goal: 7.5'' NBPEL, 5.5'' EG (overall), 5'' NBPFL

Wish me luck! :)

Oops, a maximum of 5 attachments, this is the last one. :)

I’m off then. :D

Attached Images
fgghist.jpeg
(20.4 KB, 214 views)

RE-Started (01.10.2012): 4.75'' NBPEL, 4.33'' EG (overall), 3'' NBPFL --- Now: 5.1'' NBPEL, 4.75'' EG (overall), 3.5'' NBPFL

Short-term goal: 5.5'' NBPEL, 4.5'' EG (overall), 3.5'' NBPFL --- Long term goal: 7.5'' NBPEL, 5.5'' EG (overall), 5'' NBPFL

Wish me luck! :)

Amazing job. I hope the data was accurately calculated. Were you able to come up with average beginning stats and average ending/current stats?

How about including a graph mapping of gains v time. I always throw out any data that is seems incorrectly entered if the member cannot be reached.

I think a statistical analysis like that has been already done. Slipstream did it if my memory is working.

dtwarren1942, I’m pretty certain that the calculation of the data isn’t an issue, because R has almost every statistics function one might need. The filtering could’ve been off, but I checked many results by hand and all of them were correct.

As for beginning/ending stats (calculated just now and they seem consistent with the gain averages, except for maybe a rounding error here and there (grammar time: is it right to say “on my behalf” in the sense that I made an error while manually rounding the numbers) :p ):

  • EL: Beginning - 6.36, ending - 7.03
  • EG: Beginning - 5.01, ending - 5.31
  • EW: Beginning - 1.59, ending - 1.69
  • EV: Beginning - 13.05, ending - 16.24
  • FL: Beginning - 4.13, ending - 4.77
  • FG: Beginning - 4.09, ending 4.46
Those might not seem quite accurate, but, as I said - it depends on the truthfulness of the data in the PE statistics site. Also, this is just a excerpt/sample and as such cannot be taken as 100% conclusive. On a different day and with different people entering their stats in the database the results could’ve easily been different. Nevertheless there are some interesting results. :)

Based on the averages I’d say that the “average” PE-er has an above average dick that he wants to make huge… But I guess we knew that already. :D

Cya at 8, I had a problem with Python’s datetime module so I didn’t manage to make any time calculations and it’ll take some more work, but I’ll try to do that when I have the time. :)

marinera, I suppose you’re talking about this. You’re a beast, remembering a thread that is almost four years old and it’s author’s name!
slipstream seems like a pro in statistics, while I’m not, so his work is way better and way more in-depth. Nonetheless, it was satisfying to do something like that, even though it took way more time than necessary. So even if it’s not helpful or interesting it was still a good thing for me to do, as I’m currently trying to fight my laziness and lack of motivation. :)


RE-Started (01.10.2012): 4.75'' NBPEL, 4.33'' EG (overall), 3'' NBPFL --- Now: 5.1'' NBPEL, 4.75'' EG (overall), 3.5'' NBPFL

Short-term goal: 5.5'' NBPEL, 4.5'' EG (overall), 3.5'' NBPFL --- Long term goal: 7.5'' NBPEL, 5.5'' EG (overall), 5'' NBPFL

Wish me luck! :)

Ahaha, I was not trying to be dismissive, just reading this thread refreshed my tortuga-like memory.

Thank you! Good job on the work!


Starting Stats: BPEL = 5.875, EG = 4.375 <> Current Stats: BPEL = 7.25, EG = 4.6

Originally Posted by viksenpai
[irrelevant]I have to admit, I could've done that with no classes (no object oriented programming) and in 50 or so lines, but I took a more structured approach because I've forgotten Python a bit and don't feel confident enough to write some cryptic, magical lines of code, and, to be honest - it seemed like more fun. It turned out a bit of a mess though, because I've really forgotten how to write in Python and I'll not be sharing my code with you guys, because I don't like it myself. And most of you probably wont care. :D [irrelevant]


I don’t think you’re allowed to forget your “Python” while surfing this site…hehe

But, seriously, awesome job on this!


I'm a disciple of science.

Originally Posted by ThunderSS

You geeks do realize we are looking for geek help here right?

I’m the wrong kind of geek for that, but it sounds like viksen is your man. I nominate him.


I'm a disciple of science.

Originally Posted by Cya at 8
How about including a graph mapping of gains v time.


I managed to do that, but it resulted in a graph with a lot of dots (points) concentrated in the low end of the gains/stats. I’ll try to find how to find some kind of median and make the graph look like a line, but I have an exam tomorrow so it’s going to wait. :)

Originally Posted by ThunderSS
You geeks do realize we are looking for geek help here right?


I read that thread, hoping I would be able to help. I really did want to, but it seems to me that you need server support and I really don’t feel confident enough in my skills concerning the matter to offer my assistance. I’ll check if you still need geek help in several weeks if my plans for self-improvement work out. :D

Thanks for the support scienceguy106, but as I said - not yet. :)

Also, thank you guys for the thumbs up, even though I know I didn’t do something very meaningful or complex, it still gives me some satisfaction. :)


RE-Started (01.10.2012): 4.75'' NBPEL, 4.33'' EG (overall), 3'' NBPFL --- Now: 5.1'' NBPEL, 4.75'' EG (overall), 3.5'' NBPFL

Short-term goal: 5.5'' NBPEL, 4.5'' EG (overall), 3.5'' NBPFL --- Long term goal: 7.5'' NBPEL, 5.5'' EG (overall), 5'' NBPFL

Wish me luck! :)

Excellent job. Makes me feel better about my efforts. I need to gain some length in order to catch up to the average length gain. Very close to the average girth gain.

Thank you , Nice work

This is what I’ve been looking for. I don’t know if you are familiar with supply and demand curves. Supply curves move from the bottom left to the upper right and demand curves move in the opposite direction. They are rarely straight linear lines. Hence, their called curves. Where the two curves intersect is called the equilibrium. I’m wondering if a graph can be made to show progress on one curve and hours of training on another curve. Where the two curves intersect would be the equilibrium. I’m not so sure that hours and hours of training is probably the most efficient. But too little time and you’re probably not as efficient too. I’m just curious.


BPEL Start: 5 15/16". BPEL Current: 7 1/4". Short Term BPEL Goal: 7 1/2". Long Term BPEL 8"

BEELIT Start: 6", BPELIT Current: 6.1/4"

EG Start: 5". EG Current: 5 1/8". Short Term EG Goal: 5.25". Long Term EG: 6

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