The PokéCommunity Forums  

Go Back   The PokéCommunity Forums > Current Generation Pokémon Gaming > Trade Corner
Sign Up Rules/FAQ Live Battle Blogs Mark Forums Read

Notices

Trade Corner Having trouble completing your Pokédex? Looking for a certain Pokémon or have a rare one to offer? This is your forum. Everything related to wireless trades can be discussed here.

Closed Thread
Click here to go to the first staff post in this thread.  
Thread Tools
  #2401    
Old February 10th, 2014, 05:47 AM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
I tried and tried to rng last gen, but with no one in real life to teach me, it was to overwhelming. Being older and from a hick town that didn't really have computer classes until I was ready to graduate hurt me on the computer knowledge front, XD.

I've also tried to chain fish and chain radar but to no avail as well. I agree those methods are boring and so is the masuda method. But, after mm-ing for so long, I find it hard to actually go out and battle hoping for shinies:/.The whole thing that got me started mm-ing this generation though(something I hadn't attempted previously) was an accidental hatch of the shiny treecko that is making its rounds in several shops. All I was doing there was shooting for an adamant one for a breeding request. At the time, I didn't have anyway to guarantee an adamant hatch so I was just popping them out like crazy and hoping for the best. On my seventh or eighth egg, a shiny hatched and I've been hooked since.
I finally collected all the shinies I wanted to do another play through with, so now I'm going to go a little slower waiting on a shiny high iv inkay to hatch. Then I'm going to either go back to trying for espurr( I had to quit the first attempt because I was getting tired of all the pink. Plus I was promised a shiny espurr and never received it. XD) or continue the hunt for the new shiny fairies.

I have about 125-150 slots of older shiny pokemon I need to fill but for right now, I'm still too excited over the new pokemon.
__________________
wet dreams are made of this trade shop
  #2402    
Old February 10th, 2014, 09:11 AM
Azire's Avatar
Azire
Mr. Premier Ball
 
Join Date: Nov 2012
Gender: Male
Nature: Naughty
I never got my own Shiny until this Gen. With this Gen I've gotten a stupid amount of them. The bad thing is all the Shinies I've gotten have been stuff I wasn't trying for, except Tyrunt but that was before it's Egg Move list was on any websites and before I could breed good IV as I was starting with two 0IV parents.

Anything I try to breed Shiny doesn't happen. It's always the stuff I'm breeding for somebody else. Before I have a good IV mother, Ditto is the father 95% of the time due to the ball passing and higher Ability chance. If you ask me to breed you certain Egg Moves and what not I'll probably hatch a Shiny. If I want a Shiny, no such luck.
__________________
Normal Safari: Kecleon, Lillipup, Ditto
(Ditto Unavailable Due To Restart)
Azire's Premier Pokémon
Please Leave A Review If We Trade
Trader Review Thread
Pairs: Champion Lunis
  #2403    
Old February 10th, 2014, 09:13 AM
RingoH's Avatar
RingoH
 
Join Date: Feb 2012
Gender: Male
Quote:
Originally Posted by lunis View Post
I tried and tried to rng last gen, but with no one in real life to teach me, it was to overwhelming. Being older and from a hick town that didn't really have computer classes until I was ready to graduate hurt me on the computer knowledge front, XD.
You know there is a tutoring program for RNGing, right? RNGing is pretty easy once you get used to it.... The hard part for me was getting over all the lingo. Understanding what was meant by a seed for example confused me at first. There are also YouTube videos that show it step by step pretty well.

Oh... If you have access to Pokemon Emerald, RNGing in Gen III for at least wild encounters is pretty easy.... the trouble is finding decent spreads. What makes Emerald so easy is there is no clock to reset each time, it is a soft reset of the game and trying all over again.(other Gen III games are not worth the trouble to RNG on.... it worked different).

Gen IV was difficult because you had two timers to worry about. But once you get used to it, it becomes like second nature.

Gen V was a bit easier because for MOST RNG projects you only need to be accurate to the second.

It all takes patience if you really want to, I am sure you can learn it.
__________________
Friend Codes For Friend Safari(please PM me so I can add you as well):
3DS (Main System- DARK -Mightyena/Sneasel/Sableye): 5043-2184-3577
2DS (Secondary System- BUG - Ledyba/Beautifly/Heracross): 0404-6927-1320(NOTE: I am VERY rarely online with the 2DS)
  #2404    
Old February 10th, 2014, 11:46 AM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Ah I did not know there was a tutoring program. Awesome!
I just used to have several people over the Internet trying to help and that's just nuts to me.
It's sucks being one of those hands on learners that learns by watching examples and asking loads of questions and then playing around with it myself.

That's actually how I have succeeded in my job as a 2d c.a.d. program user with having no college behind me. Who says you gotta go to college to get a good job. XD
__________________
wet dreams are made of this trade shop
  #2405    
Old February 10th, 2014, 11:54 AM
Cordelia
Banned
 
Join Date: Aug 2011
Nature: Sassy
The tutor program is largely a failure due to no one signing up and our tutors mostly disappearing. :( Join #tradecorner and see if someone will help you there, too~
  #2406    
Old February 10th, 2014, 12:12 PM
Tyrael's Avatar
Tyrael
This is a Sailor's Prayer
Community Supporter
 
Join Date: Mar 2013
Location: Deep in the Heart of Texas
Age: 21
Gender: Male
Nature: Adamant
Send a message via Skype™ to Tyrael
Quote:
Originally Posted by CC View Post
The tutor program is largely a failure due to no one signing up and our tutors mostly disappearing. Join #tradecorner and see if someone will help you there, too~
Yeah, there are still a few of us around who in #tradecorner who can help with most RNG things you would need to know! :D

/me still asks Mac for help cause i'm noob.
  #2407    
Old February 10th, 2014, 12:25 PM
Cordelia
Banned
 
Join Date: Aug 2011
Nature: Sassy
I just can't say I can always help, but I can help when I'm around. That's why I never really signed up as a mentor for it.
  #2408    
Old February 10th, 2014, 01:34 PM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
That's cake on my face. I thought at first we were talking about a computer program, XD.
__________________
wet dreams are made of this trade shop
  #2409    
Old February 10th, 2014, 02:10 PM
Absol
Community Supporter
 
Join Date: Jan 2012
What's RNG? I vaguely remember something about shinies...
  #2410    
Old February 10th, 2014, 02:21 PM
Aeroblast
Community Supporter
 
Join Date: Jul 2013
Location: My mom's basement. (not really)
Age: 20
Gender: Male
Nature: Serious
(From Wikipedia)

A random number generator (RNG) is a computational or physical device designed to generate a sequence of numbers or symbols that lack any pattern, i.e. appear random.

Spoiler:
The many applications of randomness have led to the development of several different methods for generating random data. Many of these have existed since ancient times, including dice, coin flipping, the shuffling of playing cards, the use of yarrow stalks (by divination) in the I Ching, and many other techniques. Because of the mechanical nature of these techniques, generating large numbers of sufficiently random numbers (important in statistics) required a lot of work and/or time. Thus, results would sometimes be collected and distributed as random number tables. Nowadays, after the advent of computational random number generators, a growing number of government-run lotteries, and lottery games, are using RNGs instead of more traditional drawing methods. RNGs are also used today to determine the odds of modern slot machines.[1]
Several computational methods for random number generation exist. Many fall short of the goal of true randomness — though they may meet, with varying success, some of the statistical tests for randomness intended to measure how unpredictable their results are (that is, to what degree their patterns are discernible). However, carefully designed cryptographically secure computationally based methods of generating random numbers do exist, such as those based on the Yarrow algorithm and the Fortuna (PRNG) and others.
Contents [hide]
1 Practical applications and uses
2 "True" random numbers vs. pseudo-random numbers
3 Generation methods
3.1 Physical methods
3.2 Computational methods
3.3 Generation from a probability distribution
3.4 By humans
4 Post-processing and statistical checks
5 Other considerations
6 Low-discrepancy sequences as an alternative
7 Activities and demonstrations
8 Backdoors
9 See also
10 References
11 Further reading
12 External links
Practical applications and uses[edit]

Main article: Applications of randomness
Random number generators have applications in gambling, statistical sampling, computer simulation, cryptography, completely randomized design, and other areas where producing an unpredictable result is desirable.
Note that, in general, where unpredictability is paramount – such as in security applications – hardware generators are generally preferred (where feasible) over pseudo-random algorithms.
Random number generators are very useful in developing Monte Carlo-method simulations, as debugging is facilitated by the ability to run the same sequence of random numbers again by starting from the same random seed. They are also used in cryptography – so long as the seed is secret. Sender and receiver can generate the same set of numbers automatically to use as keys.
The generation of pseudo-random numbers is an important and common task in computer programming. While cryptography and certain numerical algorithms require a very high degree of apparent randomness, many other operations only need a modest amount of unpredictability. Some simple examples might be presenting a user with a "Random Quote of the Day", or determining which way a computer-controlled adversary might move in a computer game. Weaker forms of randomness are used in hash algorithms and in creating amortized searching and sorting algorithms.
Some applications which appear at first sight to be suitable for randomization are in fact not quite so simple. For instance, a system that "randomly" selects music tracks for a background music system must only appear random, and may even have ways to control the selection of music: a true random system would have no restriction on the same item appearing two or three times in succession.
"True" random numbers vs. pseudo-random numbers[edit]

Main article: Pseudorandom number generator
There are two principal methods used to generate random numbers. The first method measures some physical phenomenon that is expected to be random and then compensates for possible biases in the measurement process. Example sources include measuring atmospheric noise, thermal noise, and other external electromagnetic and quantum phenomena. For example, cosmic background radiation or radioactive decay as measured over short timescales represent sources of natural entropy.
The speed at which entropy can be harvested from natural sources is dependent on the underlying physical phenomena being measured. Thus, sources of naturally occurring 'true' entropy are said to be blocking i.e. rate-limited until enough entropy is harvested to meet demand. On some Unix-like systems, including Linux, the pseudo device file /dev/random will block until sufficient entropy is harvested from the environment.[2] Due to this blocking behavior large bulk reads from /dev/random, such as filling a hard disk with random bits, can often be slow.
The second method uses computational algorithms that can produce long sequences of apparently random results, which are in fact completely determined by a shorter initial value, known as a seed or key. The latter type are often called pseudorandom number generators. These types of generators do not typically rely on sources of naturally occurring entropy, though they may be periodically seeded by natural sources, they are non-blocking i.e. not rate-limited by an external event.
A "random number generator" based solely on deterministic computation cannot be regarded as a "true" random number generator in the purest sense of the word, since their output is inherently predictable if all seed values are known. In practice however they are sufficient for most tasks. Carefully designed and implemented pseudo-random number generators can even be certified for security-critical cryptographic purposes, as is the case with the yarrow algorithm and fortuna (PRNG). (The former being the basis of the /dev/random source of entropy on FreeBSD, AIX, Mac OS X, NetBSD and others. OpenBSD also uses a pseudo-random number algorithm based on RC4 known as arc4random. See also: Cryptographically secure pseudorandom number generator.)
Generation methods[edit]

Physical methods[edit]
Main article: Hardware random number generator
The earliest methods for generating random numbers — dice, coin flipping, roulette wheels — are still used today, mainly in games and gambling as they tend to be too slow for most applications in statistics and cryptography.
A physical random number generator can be based on an essentially random atomic or subatomic physical phenomenon whose unpredictability can be traced to the laws of quantum mechanics. Sources of entropy include radioactive decay, thermal noise, shot noise, avalanche noise in Zener diodes, clock drift, the timing of actual movements of a hard disk read/write head, and radio noise. However, physical phenomena and tools used to measure them generally feature asymmetries and systematic biases that make their outcomes not uniformly random. A randomness extractor, such as a cryptographic hash function, can be used to approach a uniform distribution of bits from a non-uniformly random source, though at a lower bit rate.
In 2010, Kanter et al. at Bar-Ilan University created a physical random bit generator that operates at a rate of 300 gigabits per second, the fastest thus far created.[3]
Various imaginative ways of collecting this entropic information have been devised. One technique is to run a hash function against a frame of a video stream from an unpredictable source. Lavarand used this technique with images of a number of lava lamps. HotBits measures radioactive decay with Geiger–Muller tubes,[4] while Random.org uses variations in the amplitude of atmospheric noise recorded with a normal radio.
Another common entropy source is the behavior of human users of the system. While people are not considered good randomness generators upon request, they generate random behavior quite well in the context of playing mixed strategy games.[5] Some security-related computer software requires the user to make a lengthy series of mouse movements or keyboard inputs to create sufficient entropy needed to generate random keys or to initialize pseudorandom number generators.[6]
Computational methods[edit]
Pseudo-random number generators (PRNGs) are algorithms that can automatically create long runs of numbers with good random properties but eventually the sequence repeats (or the memory usage grows without bound). The string of values generated by such algorithms is generally determined by a fixed number called a seed. One of the most common PRNG is the linear congruential generator, which uses the recurrence
X_{{n+1}}=(aX_{n}+b)\,{\textrm {mod}}\,m
to generate numbers. The maximum number of numbers the formula can produce is the modulus, m. To avoid certain non-random properties of a single linear congruential generator, several such random number generators with slightly different values of the multiplier coefficient a can be used in parallel, with a "master" random number generator that selects from among the several different generators.[citation needed]
A simple pen-and-paper method for generating random numbers is the so-called middle square method suggested by John von Neumann. While simple to implement, its output is of poor quality.
Most computer programming languages include functions or library routines that provide random number generators. They are often designed to provide a random byte or word, or a floating point number uniformly distributed between 0 and 1.
The quality i.e. randomness of such library functions varies widely from completely predictable output, to cryptographically secure. The default random number generator in many languages, including Python, Ruby, R, IDL and PHP is based on the Mersenne Twister algorithm and is not sufficient for cryptography purposes, as is explicitly stated in the language documentation. Such library functions often have poor statistical properties and some will repeat patterns after only tens of thousands of trials. They are often initialized using a computer's real time clock as the seed, since such a clock generally measures in milliseconds, far beyond the person's precision. These functions may provide enough randomness for certain tasks (for example video games) but are unsuitable where high-quality randomness is required, such as in cryptography applications, statistics or numerical analysis.
Much higher quality random number sources are available on most operating systems; for example /dev/random on various BSD flavors, Linux, Mac OS X, IRIX, and Solaris, or CryptGenRandom for Microsoft Windows. Most programming languages, including those mentioned above, provide a means to access to these higher quality sources.
An example of a simple pseudo-random number generator is the multiply-with-carry method invented by George Marsaglia. It is computationally fast and has good (albeit not cryptographically strong) randomness properties:[7]
m_w = <choose-initializer>; /* must not be zero, nor 0x464fffff */
m_z = <choose-initializer>; /* must not be zero, nor 0x9068ffff */

uint get_random()
{
m_z = 36969 * (m_z & 65535) + (m_z >> 16);
m_w = 18000 * (m_w & 65535) + (m_w >> 16);
return (m_z << 16) + m_w; /* 32-bit result */
}
Generation from a probability distribution[edit]
There are a couple of methods to generate a random number based on a probability density function. These methods involve transforming a uniform random number in some way. Because of this, these methods work equally well in generating both pseudo-random and true random numbers. One method, called the inversion method, involves integrating up to an area greater than or equal to the random number (which should be generated between 0 and 1 for proper distributions). A second method, called the acceptance-rejection method, involves choosing an x and y value and testing whether the function of x is greater than the y value. If it is, the x value is accepted. Otherwise, the x value is rejected and the algorithm tries again.[8][9]
By humans[edit]
Random number generation may also be done by humans directly. However, most studies find that human subjects have some degree of nonrandomness when generating a random sequence of, e.g., digits or letters. They may alternate too much between choices compared to a good random generator.[10]
Post-processing and statistical checks[edit]

See also: Statistical randomness and List of random number generators
Even given a source of plausible random numbers (perhaps from a quantum mechanically based hardware generator), obtaining numbers which are completely unbiased takes care. In addition, behavior of these generators often changes with temperature, power supply voltage, the age of the device, or other outside interference. And a software bug in a pseudo-random number routine, or a hardware bug in the hardware it runs on, may be similarly difficult to detect.
Generated random numbers are sometimes subjected to statistical tests before use to ensure that the underlying source is still working, and then post-processed to improve their statistical properties. An example would be the TRNG9803 [11] hardware random number generator, that use an entropy measurement as hardware test, and then post-process with a shift register stream cipher.
Other considerations[edit]

Random numbers uniformly distributed between 0 and 1 can be used to generate random numbers of any desired distribution by passing them through the inverse cumulative distribution function (CDF) of the desired distribution. Inverse CDFs are also called quantile functions. To generate a pair of statistically independent standard normally distributed random numbers (x, y), one may first generate the polar coordinates (r, θ), where r~χ22 and θ~UNIFORM(0,2π) (see Box–Muller transform).
Some 0 to 1 RNGs include 0 but exclude 1, while others include or exclude both.
The outputs of multiple independent RNGs can be combined (for example, using a bit-wise XOR operation) to provide a combined RNG at least as good as the best RNG used. This is referred to as software whitening.
Computational and hardware random number generators are sometimes combined to reflect the benefits of both kinds. Computational random number generators can typically generate pseudo-random numbers much faster than physical generators, while physical generators can generate "true randomness."
Low-discrepancy sequences as an alternative[edit]

Some computations making use of a random number generator can be summarized as the computation of a total or average value, such as the computation of integrals by the Monte Carlo method. For such problems, it may be possible to find a more accurate solution by the use of so-called low-discrepancy sequences, also called quasirandom numbers. Such sequences have a definite pattern that fills in gaps evenly, qualitatively speaking; a truly random sequence may, and usually does, leave larger gaps.
Activities and demonstrations[edit]

The following sites make available Random Number samples:
The SOCR resource pages contain a number of hands-on interactive activities and demonstrations of random number generation using Java applets.
The Quantum Optics Group at the ANU generates random numbers sourced from quantum vacuum. You can download a sample of random numbers by visiting their quantum random number generator research page.
Random.Org makes available random numbers that are sourced from the randomness of atmospheric noise. Visit their page to obtain a sample.
The Quantum Random Bit Generator Service at the Ruđer Bošković Institute harvests randomness from the quantum process of photonic emission in semiconductors. They supply a variety of ways of fetching the data, including libraries for several programming languages.
Backdoors[edit]

Main article: Random number generator attack
Since much cryptography depends on a cryptographically secure random number generator for key and cryptographic nonce generation, if a random number generator can be made predictable, it can be used as backdoor by an attacker to break the encryption.
The NSA is reported to have inserted a backdoor into the NIST certified cryptographically secure pseudorandom number generator Dual_EC_DRBG. If for example an SSL connection is created using this random number generator, then according to Matthew Green it would allow NSA to determine the state of the random number generator, and thereby eventually be able to read all data sent over the SSL connection.[12] Even though it was apparent that Dual_EC_DRBG was a very poor and possibly backdoored pseudorandom number generator long before the NSA backdoor was confirmed in 2013, it had seen significant usage in practice until 2013, for example by the prominent security company RSA Security.[13] There have subsequently been accusations that RSA Security knowingly inserted a NSA backdoor into its products, possibly as part of the Bullrun program. RSA has denied knowingly inserting a backdoor into its products.[14]
It has also been theorized that hardware RNGs could be secretly modified to have less entropy than stated, which would make encryption using the hardware RNG susceptible to attack. One such method which has been published works by modifying the dopant mask of the chip, which would be undetectable to optical reverse-engineering.[15] For example for random number generation in Linux, it is seen as unacceptable to use Intel's RdRand hardware RNG without mixing in the RdRand output with other sources of entropy to counteract any backdoors in the hardware RNG. Especially after the revelation of the NSA Bullrun program.[16][17]
See also[edit]

Flipism
List of random number generators
PP (complexity)
Procedural generation
Randomization
Randomized algorithm
Random number generator attack
Random password generator
Randomness
References[edit]

Jump up ^ "Introduction to Slot Machines". Retrieved 2010-05-14.
Jump up ^ random(4) – Linux Special Files Manual
Jump up ^ Kanter, Ido; Aviad, Yaara; Reidler, Igor; Cohen, Elad; Rosenbluh, Michael. An optical ultrafast random bit generator. Nature Photonics, Volume 4, Issue 1, pp. 58–61 (2010).
Jump up ^ Walker, John. "HotBits: Genuine Random Numbers". Retrieved 2009-06-27.
Jump up ^ Halprin, Ran; Naor, Moni. Games for Extracting Randomness (PDF). Department of Computer Science and Applied Mathematics, Weizmann Institute of Science. Retrieved 2009-06-27. Main site
Jump up ^ TrueCrypt Foundation. "TrueCrypt Beginner's Tutorial, Part 3". Retrieved 2009-06-27.
Jump up ^ Marsaglia, George (1999-01-12). "sci.stat.math". Retrieved 2010-02-10.
Jump up ^ The MathWorks. "Common generation methods". Retrieved 2011-10-13.
Jump up ^ The Numerical Algorithms Group. "G05 – Random Number Generators". NAG Library Manual, Mark 23. Retrieved 2012-02-09.
Jump up ^ W. A. Wagenaar (1972). "Generation of random sequences by human subjects: a critical survey of the literature". Psychological Bulletin 77 (1): 65–72. doi:10.1037/h0032060.
Jump up ^ Dömstedt, B. (2009). "TRNG9803 True Random Number Generator". Manufacturer: www.TRNG98.se.
Jump up ^ matthew Green. "The Many Flaws of Dual_EC_DRBG".
Jump up ^ Matthew Green. "RSA warns developers not to use RSA products".
Jump up ^ "We don’t enable backdoors in our crypto products, RSA tells customers". Ars Technica.
Jump up ^ "Researchers can slip an undetectable trojan into Intel’s Ivy Bridge CPUs". Ars Technica.
Jump up ^ Theodore Ts'o. "I am so glad I resisted pressure from Intel engineers to let /dev/random rely only on the RdRand instruction.". Google Plus.
Jump up ^ Theodore Ts'o. "Re: [PATCH] /dev/random: Insufficient of entropy on many architectures". LWN.
Further reading[edit]

Donald Knuth (1997). "Chapter 3 – Random Numbers". The Art of Computer Programming. Vol. 2: Seminumerical algorithms (3 ed.).
Kroese, D. P.; Taimre, T.; Botev, Z.I. (2011). "Chapter 1 – Uniform Random Number Generation". Handbook of Monte Carlo Methods. New York: John Wiley & Sons. p. 772. ISBN 0-470-17793-4.
Press, WH; Teukolsky, SA; Vetterling, WT; Flannery, BP (2007). "Chapter 7. Random Numbers". Numerical Recipes: The Art of Scientific Computing (3rd ed.). New York: Cambridge University Press. ISBN 978-0-521-88068-8
NIST SP800-90A, B, C series on random number generation
External links[edit]

Wikimedia Commons has media related to Random.
Random and Pseudorandom on In Our Time at the BBC.
Clewett, James. "Random Numbers". Numberphile. Brady Haran.
jRand a Java-based framework for the generation of simulation sequences, including pseudo-random sequences of numbers
Random number generators in NAG Fortran Library
Randomness Beacon at NIST, broadcasting full-entropy bit-strings in blocks of 512 bits every 60 seconds. Designed to provide unpredictability, autonomy, and consistency.


So there you go, EV, some RNG for you.

Last edited by Aeroblast; February 10th, 2014 at 02:27 PM.
  #2411    
Old February 10th, 2014, 02:30 PM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Your giveaway is getting quite the large number of participants, 루기아. That's pretty rad.
Good selection as well, might I add.
__________________
wet dreams are made of this trade shop
  #2412    
Old February 10th, 2014, 02:32 PM
Aeroblast
Community Supporter
 
Join Date: Jul 2013
Location: My mom's basement. (not really)
Age: 20
Gender: Male
Nature: Serious
Number of participants entering has died down the last couple days, though.

I might (probably will) do another one like this soon with more shinies.
  #2413    
Old February 10th, 2014, 02:37 PM
Keiran's Avatar
Keiran
Moshtradamus
 
Join Date: Apr 2011
Location: New Jersey
Gender: Male
Nature: Careful
Quote:
Originally Posted by EV♥ View Post
What's RNG? I vaguely remember something about shinies...
Rad Noodle Guardian. The hero pasta deserves, but not the one it needs.
__________________
Mod of Trade Corner| Pair | Trainer Information

又 yltfos os kaeps and low 又
Wandering Allowed, Wondering Aloud
  #2414    
Old February 10th, 2014, 02:39 PM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Several of us should get together and have a friendly contest to see who can get the most participants in a giveaway.
Something to break up the monotony of the days and also benefit several other members of the community.
Thinking about it, that could stir up some "business" for the trade corner as well
Just a random thought.
__________________
wet dreams are made of this trade shop
  #2415    
Old February 10th, 2014, 02:39 PM
Absol
Community Supporter
 
Join Date: Jan 2012
I read number and quit. If anyone needs me I'll be drowning in homework and trying not to die. Or just hatching yet even more eggs
  #2416    
Old February 11th, 2014, 04:28 AM
RingoH's Avatar
RingoH
 
Join Date: Feb 2012
Gender: Male
Quote:
Originally Posted by lunis View Post
That's cake on my face. I thought at first we were talking about a computer program, XD.

Sorry. Did not mean to confuse you. I also did not realize the tutoring was allowed to fall flat.

here is one youtube video I just found for RNGing in last generation:
http://www.youtube.com/watch?v=xEGeZ2ZE-V8
I watched about half of it, and it seems to be a really good step by step, and you should be able to just follow along on your own 3DS, and do the same steps in the video to try it out.
__________________
Friend Codes For Friend Safari(please PM me so I can add you as well):
3DS (Main System- DARK -Mightyena/Sneasel/Sableye): 5043-2184-3577
2DS (Secondary System- BUG - Ledyba/Beautifly/Heracross): 0404-6927-1320(NOTE: I am VERY rarely online with the 2DS)
  #2417    
Old February 11th, 2014, 04:33 AM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Thank you And don't worry about the confusion. I live in that state and just randomly visit other areas. XD.
__________________
wet dreams are made of this trade shop
  #2418    
Old February 11th, 2014, 10:13 AM
Sheep's Avatar
Sheep
im actually a foot model
 
Join Date: Sep 2011
Age: 23
Gender: Female
Nature: Timid
@EV: The shiny charm hasn't been friendly to me yet either. 8( Taking a break from MMing to do other things, maybe sweet scent for horde shinies because it's more fun. Too bad the IVs are more risky that way, waa.
__________________

da best | family | my star | twin
club 1 club 2 club 3
Avatar by Lilith | Signature by Achromatic
  #2419    
Old February 11th, 2014, 11:41 AM
RingoH's Avatar
RingoH
 
Join Date: Feb 2012
Gender: Male
Quote:
Originally Posted by Sheep View Post
@EV: The shiny charm hasn't been friendly to me yet either. 8( Taking a break from MMing to do other things, maybe sweet scent for horde shinies because it's more fun. Too bad the IVs are more risky that way, waa.
Hmmm.... while I don't seriously MM or shiny hunt like others do, this has me thinking that on my X I should stop at the Kalos Dex and not bother with the National Dex.
__________________
Friend Codes For Friend Safari(please PM me so I can add you as well):
3DS (Main System- DARK -Mightyena/Sneasel/Sableye): 5043-2184-3577
2DS (Secondary System- BUG - Ledyba/Beautifly/Heracross): 0404-6927-1320(NOTE: I am VERY rarely online with the 2DS)
  #2420    
Old February 11th, 2014, 02:03 PM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Woot! Just caught a shiny male friend safari espurr.
Third encounter of the day and it was a shiny .

Imma just sneak this one in here from today too...
__________________
wet dreams are made of this trade shop

Last edited by Ghost Lunis; February 11th, 2014 at 07:13 PM.
  #2421    
Old February 11th, 2014, 09:33 PM
Azire's Avatar
Azire
Mr. Premier Ball
 
Join Date: Nov 2012
Gender: Male
Nature: Naughty
Because this thread is pretty uneventful at night on my breaks I have started looking into other sections of the forums. I have discovered a thread where you can post pictures of yourself. I will be posting a picture of myself soon so that anybody here in my favorite community on PC can see what I look like.

If you ever wondered what the guy behind the Premier Ball looks like the tome is coming!! I will post a link to the thread here when I finally post it.
__________________
Normal Safari: Kecleon, Lillipup, Ditto
(Ditto Unavailable Due To Restart)
Azire's Premier Pokémon
Please Leave A Review If We Trade
Trader Review Thread
Pairs: Champion Lunis
  #2422    
Old February 11th, 2014, 09:54 PM
Absol
Community Supporter
 
Join Date: Jan 2012
@lunis nice shinies there! Hope you get more in the future :D

@iAzire Remind not to look when you do :P jk, bet you look adorable just like everyone else does here <3

Just wanted to say....
Spoiler:
I quit! :D
Spoiler:
jk, I love you guys and I miss you so much :((( I promise to be back someday
  #2423    
Old February 11th, 2014, 10:17 PM
Tyrael's Avatar
Tyrael
This is a Sailor's Prayer
Community Supporter
 
Join Date: Mar 2013
Location: Deep in the Heart of Texas
Age: 21
Gender: Male
Nature: Adamant
Send a message via Skype™ to Tyrael
Quote:
Originally Posted by EV♥ View Post
@lunis nice shinies there! Hope you get more in the future :D

@iAzire Remind not to look when you do jk, bet you look adorable just like everyone else does here <3

Just wanted to say....
Spoiler:
I quit! :D
Spoiler:
jk, I love you guys and I miss you so much (( I promise to be back someday
EV finally admitted that I look adorable! :D <3

Hopefully I don't get too swamped with homework this weekend and i'll be able to finish my National Dex up in X so I can get Shiny Charm and then start on breeding my own flawless shinies! XD My girlfriend was actually breeding for me the other day and she hatched a 31/x/31/31/x/31 Shiny Timid Noibat! She was extremely shocked when it came out shiny and I just laughed when I saw it. I let her keep it since she hatched it, and the IVs weren't flawless so I didn't wanna put it up in my shop x]
  #2424    
Old February 12th, 2014, 01:56 AM
Azire's Avatar
Azire
Mr. Premier Ball
 
Join Date: Nov 2012
Gender: Male
Nature: Naughty
Okay my picture is posted here.

Check it out!! Help give you a face to a name. Remember I did this because I love you.
__________________
Normal Safari: Kecleon, Lillipup, Ditto
(Ditto Unavailable Due To Restart)
Azire's Premier Pokémon
Please Leave A Review If We Trade
Trader Review Thread
Pairs: Champion Lunis
  #2425    
Old February 12th, 2014, 03:15 AM
Ghost Lunis's Avatar
Ghost Lunis
BOO!
Community Supporter
 
Join Date: Jun 2011
Location: The Shadows
Gender: Male
Nature: Naughty
Quote:
Originally Posted by iAzire View Post
Okay my picture is posted here.

Check it out!! Help give you a face to a name. Remember I did this because I love you.
the all white outfit was very "fitting" for you, Mr. premier ball.

Quote:
Originally Posted by EV♥ View Post
@lunis nice shinies there! Hope you get more in the future :D
Thank you, Are you seriously taking a hiatus?
__________________
wet dreams are made of this trade shop
Closed Thread
Quick Reply

Sponsored Links
Thread Tools

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off
Minimum Characters Per Post: 25



All times are UTC -8. The time now is 11:07 AM.


Style by Nymphadora, artwork by Sa-Dui.
Like our Facebook Page Follow us on Twitter © 2002 - 2014 The PokéCommunity™, pokecommunity.com.
Pokémon characters and images belong to The Pokémon Company International and Nintendo. This website is in no way affiliated with or endorsed by Nintendo, Creatures, GAMEFREAK, The Pokémon Company or The Pokémon Company International. We just love Pokémon.
All forum styles, their images (unless noted otherwise) and site designs are © 2002 - 2014 The PokéCommunity / PokéCommunity.com.
PokéCommunity™ is a trademark of The PokéCommunity. All rights reserved. Sponsor advertisements do not imply our endorsement of that product or service. User generated content remains the property of its creator.