Lottery
Quick Pick:

This form ^{(click image below)} allows you to quick pick lottery tickets. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs.

1. Pick ticket(s) for the lottery in..
   
   
2. called ..
   
   
3. which uses... numbers, the highest of which is ...
   
   
4. and... numbers, the highest of which is ...
   
   
5. Your chance of matching all numbers with this combination is .. in ...
   ^{(settings can be saved in your browser)}

If your lottery is not listed, pick any country, then select ‘Other Lottery’ and fill in the other fields. You can also email us the lottery details. If you want to know more about your chances, you can use Gerry Quinn's Lotto Odds Calculator (requires Java). RANDOM.ORG's lottery quick pick will help you win.

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RANDOM.ORG offers true random numbers to anyone on the Internet. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs. People use RANDOM.ORG for holding drawings, lotteries and sweepstakes, to drive online games, for scientific applications and for art and music. The service has existed since 1998 and was built by Dr Mads Haahr of the School of Computer Science and Statistics at Trinity College, Dublin in Ireland. Today, RANDOM.ORG is operated by Randomness and Integrity Services Ltd.

Random numbers are useful for a variety of purposes, such as generating data encryption keys, simulating and modeling complex phenomena and for selecting random samples from larger data sets. They have also been used aesthetically, for example in literature and music, and are of course ever popular for games and gambling. When discussing single numbers, a random number is one that is drawn from a set of possible values, each of which is equally probable, i.e., a uniform distribution. When discussing a sequence of random numbers, each number drawn must be statistically independent of the others.

With the advent of computers, programmers recognized the need for a means of introducing randomness into a computer program. However, surprising as it may seem, it is difficult to get a computer to do something by chance. A computer follows its instructions blindly and is therefore completely predictable. (A computer that doesn't follow its instructions in this manner is broken.) There are two main approaches to generating random numbers using a computer: Pseudo-Random Number Generators (PRNGs) and True Random Number Generators (TRNGs). The approaches have quite different characteristics and each has its pros and cons.

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