Clear and convenient generator numbers online, which is used in Lately popularity. It became most widespread during prize draws on social networks among users.
It is also popular in other areas. We also have either passwords and numbers.
Our online random number generator.
Our randomizer generator does not require downloading it to your personal PC. Everything happens in online number generator mode. Just specify parameters such as: online number range in which numbers will be randomly selected. Also indicate the number of numbers that will be selected.
For example, you have a VKontakte group. In the group you will win 5 prizes among the number of participants who repost the post. Using a special application, we received a list of participants. Each was assigned its own serial number for online numbers.
Now let's move on to our online generator y and indicate the range of numbers (number of participants). For example, we set that 5 numbers are needed online, since we have 5 prizes. Now click the generate button. Then we get 5 random numbers online, in the range from 1 to 112 inclusive. The generated 5 numbers online will match serial number five participants who became the winners of the drawing. Everything is simple and convenient.
Another advantage of the random number generator is that all numbers online are issued randomly. That is, it is not possible to influence it, or to calculate what number will be next. What does it mean to say, honest and reliable, and the administration, which gives away prizes using our free generator, is honest and decent in the person of the competition participants. And if you are in doubt about any decision, then you can use our
Why is the random number generator the best?
The fact is that number generator online available on any device and always online. You can quite honestly generate any number for any idea you have. And use the same for the project random number generator online. Especially if you need to determine the winner of a game or for another number online. The fact is that random number generator generates any numbers completely randomly without algorithms. It's essentially the same as for numbers.
Random number generator online for free!
Random number generator online free for everyone. You don't need to download or buy any random number generator online for the draw. You just need to go to our website and get the random result you need. We not only have random number generator but also needed by many and will definitely help you win the lottery. A real online random number generator for lotteries is absolute randomness. Which our site is able to provide you with.
Random number online
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Random number generator
Our random number generator randomly selects numbers completely at random. It doesn't matter what day or hour you have on your computer. This is a real blind choice. The random generator simply shuffles all the numbers in a random order. And then it randomly selects the number of random numbers you specify from them. Sometimes numbers can be repeated, which proves the complete randomness of the random number generator.
Random online
Random is the surest option for a draw. The online generator is truly a random choice. You are protected from any influence on the selection of a random number. By filming the process randomly online selection winner on video. That's all you need. Organize fair draws online with our online number generator. You get winners and satisfied players. And we are glad that we were able to please you with our random generator.
Numbers accompany us everywhere - house and apartment numbers, telephone numbers, car numbers, passport numbers, plastic cards, dates, passwords. Email. We choose some combinations of numbers ourselves, but most we get by chance. Without realizing it, we use randomly generated numbers every day. If we come up with PIN codes, then unique credit or salary card codes are generated by reliable systems that exclude access to passwords. Random number generators provide security in areas that require processing speed, security, and data independence.
The process of generating pseudorandom numbers is subject to certain laws and has been used for a long time, for example, in lotteries. In the recent past, drawings were carried out using lottery machines or lots. Now in many countries winning numbers state lotteries are determined precisely by the set of generated random numbers.
Advantages of the method
So, a random number generator is an independent modern mechanism for randomly determining combinations of numbers. The uniqueness and perfection of this method lies in the impossibility of external intervention in the process. The generator is a set of programs built, for example, on noise diodes. The device generates a stream of random noise, the current values of which are converted into numbers and form combinations.
Generating numbers provides instant results - it takes a few seconds to create a combination. If we talk about lotteries, participants can immediately find out whether the ticket number matches the winning one. This allows drawings to be held as often as participants want. But the main advantage of the method is its unpredictability and the impossibility of calculating the algorithm for selecting numbers.
How pseudorandom numbers are generated
In fact, random numbers are not random - the series starts from a given number and is generated by an algorithm. A pseudorandom number generator (PRNG or PRNG - pseudorandom number generator) is an algorithm that generates a sequence of seemingly unrelated numbers, usually subject to a uniform distribution. In computer science, pseudorandom numbers are used in many applications: cryptography, simulation modeling, Monte Carlo method, etc. The quality of the result depends on the properties of the PRNG.
The source of generation can be physical noise from cosmic radiation to noise in a resistor, but such devices are almost never used in network security applications. Cryptographic applications use special algorithms that generate sequences that cannot be statistically random. However, a properly chosen algorithm can produce series of numbers that pass most randomness tests. The repetition period in such sequences is greater than the working interval from which the numbers are taken.
Many modern processors contain a PRNG, such as RdRand. As an alternative, sets of random numbers are created and published in a one-time pad (dictionary). The source of numbers in this case is limited and does not provide complete network security.
History of PRNG
A prototype of a random number generator can be considered board game Senet, common in Ancient Egypt in 3500 BC. According to the conditions, two players participated, the moves were determined by throwing four flat black and white sticks - they were a kind of PRNG of that time. The sticks were thrown at the same time, and points were counted: if one fell up with the white side, 1 point and an additional move, two white ones - two points, and so on. The maximum result of five points was received by the player who threw four sticks with the black side.
Nowadays, the ERNIE generator has been used for many years in the UK for lottery draws. There are two main generation methods winning numbers: linear congruent and additive congruent. These and other methods are based on the principle of random selection and are provided by software that endlessly produces numbers, the sequence of which is impossible to guess.
The PRNG operates continuously, for example, in slot machines. According to US law, this required condition, which all software providers must comply with.
The presented online random number generator operates on the basis of a pseudo-random number generator with a uniform distribution built into JavaScript. Integers are generated. By default, 10 random numbers are output in the range 100...999, the numbers separated by spaces.
Basic settings of the random number generator:
- Amount of numbers
- Number range
- Separator type
- Turn on/off the function of removing repetitions (duplicates of numbers)
The total number is formally limited to 1000, with a maximum of 1 billion. Separator options: space, comma, semicolon.
Now you know exactly where and how to get a free sequence of random numbers in a given range on the Internet.
Application options for a random number generator
A random number generator (RNG in JS with uniform distribution) will be useful for SMM specialists and owners of groups and communities on the social networks Instagram, Facebook, VKontakte, Odnoklassniki to determine the winners of lotteries, competitions and prize draws.
A random number generator allows you to draw prizes among an arbitrary number of participants with a specified number of winners. Contests can be held without reposts and comments - you yourself set the number of participants and the interval for generating random numbers. You can get a set of random numbers online and for free on this site, and you do not need to install any application on your smartphone or program on your computer.
Also, an online random number generator can be used to simulate tossing a coin or dice. However, we have separate specialized services for these cases.
Carrying out various lotteries, sweepstakes, etc. are often held in many groups or public pages on social networks, Instagram, etc., and are used by account owners to attract new audiences to the community.
The result of such drawings often depends on the user's luck, since the recipient of the prize is determined randomly.
To make this determination, lottery organizers almost always use an online or pre-installed random number generator that is distributed free of charge.
Choice
Quite often, choosing such a generator can be difficult, since their functionality is quite different - for some it is significantly limited, for others it is quite wide.
Enough is being implemented a large number of such services, but the difficulty is that they differ in scope.
Many, for example, are tied in their functionality to a certain social network(for example, many generator applications on VKontakte work only with links from this social network).
The simplest generators simply randomly determine a number within a given range.
This is convenient because it does not associate the result with a specific post, which means it can be used for sweepstakes outside the social network and in various other situations.
They essentially have no other use.
<Рис. 1 Генератор>
Advice! When choosing the most suitable generator, it is important to consider what it will be used for.
Specifications
For the fastest process of choosing the optimal online random number generation service, the table below shows the main specifications and functionality of such applications.
| Name | Social network | Multiple results | Select from a list of numbers | Online widget for the site | Select from a range | Disabling repetitions |
|---|---|---|---|---|---|---|
| RandStuff | Yes | Yes | No | Yes | No | |
| Cast Lots | Official website or VKontakte | No | No | Yes | Yes | Yes |
| Random number | Official site | No | No | No | Yes | Yes |
| Randomus | Official site | Yes | No | No | Yes | No |
| Random numbers | Official site | Yes | No | No | No | No |
All applications discussed in the table are described in more detail below.
<Рис. 2 Случайные числа>
RandStuff
<Рис. 3 RandStuff>
You can use this application online by following the link to its official website http://randstuff.ru/number/.
This is a simple random number generator, characterized by fast and stable operation.
It is successfully implemented both in the format of a separate independent application on the official website, and as an application on the VKontakte social network.
The peculiarity of this service is that it can select a random number both from a specified range and from a specific list of numbers that can be specified on the site.
Pros:
- Stable and fast work;
- Lack of direct connection to a social network;
- You can select one or several numbers;
- You can only choose among the specified numbers.
Minuses:
- Inability to conduct a VKontakte drawing (this requires a separate application);
- Applications for VKontakte do not run in all browsers;
- The result sometimes seems predictable because only one calculation algorithm is used.
User reviews about this application are as follows: “We determine winners in VKontakte groups through this service. Thank you,” “You are the best,” “I only use this service.”
Cast Lots
<Рис. 4 Cast Lots>
This application is a simple function generator, implemented on the official website in the form of a VKontakte application.
There is also a generator widget for inserting into your website.
The main difference from the previous described application is that this allows you to disable the repetition of the result.
That is, when carrying out several generations in a row in one session, the number will not be repeated.
- Availability of a widget for inserting into a website or blog;
- Ability to disable result repetition;
- The presence of the “even more randomness” function, after activation of which the selection algorithm changes.
Negative:
- Inability to determine several results at once;
- Inability to select from a specific list of numbers;
- To select a winner in publics, you must use a separate VKontakte widget.
User reviews are as follows: “It works stably, it’s quite convenient to use”, “Convenient functionality”, “I only use this service”.
Random number
<Рис. 5 Случайное число>
This service is located at http://randomnumber.rf/.
Simple generator with minimum functions and additional features.
Can randomly generate numbers within a specified range (maximum from 1 to 99999).
The site does not have any graphic design, and therefore the page loads easily.
The result can be copied or downloaded with the click of a button.
Negative:
- Lack of a widget for VKontakte;
- There is no possibility of holding draws;
- There is no way to embed the result into a blog or website.
Here's what users say about this service: “A good generator, but not enough functions”, “Very few features”, “Suitable for quickly generating numbers without unnecessary settings.”
Randomus
<Рис. 6 Рандомус>
You can use this random number generator at http://randomus.ru/.
Another one, quite simple, but functional random number generator.
The service has sufficient functionality for determining random numbers, but it is not suitable for conducting sweepstakes and other more complex processes.
Negative:
- Impossibility of holding draws based on reposts of posts, etc.
- There is no application for VKontakte or a widget for the site;
- It is not possible to disable repeating results.
- Tutorial
Have you ever wondered how Math.random() works? What is a random number and how is it obtained? Imagine an interview question - write your random number generator in a couple of lines of code. So, what is it, an accident and is it possible to predict it?
I am very fascinated by various IT puzzles and tasks, and the random number generator is one of these tasks. Usually in my Telegram channel I analyze all sorts of puzzles and various tasks from interviews. The random number generator problem has gained great popularity and I wanted to perpetuate it in the depths of one of the authoritative sources of information - that is, here on Habré.
This material will be useful to all those front-end and Node.js developers who are on the cutting edge of technology and want to get into a blockchain project/startup where questions about security and cryptography are at least basic level, they even ask front-end developers.
Pseudo-random number generator and random number generator
In order to get something random, we need a source of entropy, a source of some chaos from which we will use to generate randomness.This source is used to accumulate entropy and then obtain from it an initial value (seed), which is necessary for random number generators (RNG) to generate random numbers.
The Pseudo-Random Number Generator uses a single initial value, hence its pseudo-randomness, while the Random Number Generator always generates a random number, having at the beginning a high-quality random variable, which is taken from various sources of entropy.
Entropy is a measure of disorder. Information entropy is a measure of the uncertainty or unpredictability of information.It turns out that in order to create a pseudo-random sequence we need an algorithm that will generate a certain sequence based on a certain formula. But such a sequence can be predicted. However, let's imagine how we could write our own random number generator if we didn't have Math.random()
PRNG has some algorithm that can be reproduced.
RNG is the process of obtaining numbers entirely from some kind of noise, the ability to calculate which tends to zero. At the same time, the RNG has certain algorithms for equalizing the distribution.
We come up with our own PRNG algorithm
Pseudorandom number generator (PRNG) is an algorithm that generates a sequence of numbers whose elements are almost independent of each other and obey a given distribution (usually uniform).We can take a sequence of some numbers and take the modulus of the number from them. The simplest example that comes to mind. We need to think about which sequence to take and the module from what. If you just directly from 0 to N and modulus 2, you get a generator of 1 and 0:
Function* rand() ( const n = 100; const mod = 2; let i = 0; while (true) ( yield i % mod; if (i++ > n) i = 0; ) ) let i = 0; for (let x of rand()) ( if (i++ > 100) break; console.log(x); )
This function generates the sequence 01010101010101... and it cannot even be called pseudo-random. For a generator to be random, it must pass the next bit test. But we don’t have such a task. Nevertheless, even without any tests we can predict the next sequence, which means that such an algorithm is not suitable, but we are in the right direction.
What if we take some well-known but non-linear sequence, for example the number PI. And as the value for the module we will take not 2, but something else. You can even think about the changing value of the module. The sequence of digits in Pi is considered random. The generator can operate using Pi numbers starting from some unknown point. An example of such an algorithm, with a PI-based sequence and a variable module:
Const vector = [...Math.PI.toFixed(48).replace(".","")]; function* rand() ( for (let i=3; i<1000; i++) {
if (i >99) i = 2;
We got a generator of numbers from 0 to 9, but the distribution is very uneven and it will generate the same sequence every time.
We can take not the number Pi, but time in numerical representation and consider this number as a sequence of numbers, and in order to ensure that the sequence does not repeat each time, we will read it from the end. In total, our algorithm for our PRNG will look like this:
Function* rand() ( let newNumVector = () => [...(+new Date)+""].reverse(); let vector = newNumVector(); let i=2; while (true) ( if ( i++ > 99) i = 2; let n=-1; while (++n< vector.length) yield (vector[n] % i);
vector = newNumVector();
}
}
// TEST:
let i = 0;
for (let x of rand()) {
if (i++ >100) break;
console.log(x)
This already looks like a pseudo-random number generator. And the same Math.random() is a PRNG, we’ll talk about it a little later. Moreover, every time we get the first number is different. Actually on these simple examples You can understand how more complex random number generators work.
And there are even ready-made algorithms. As an example, let's look at one of them - Linear Congruent PRNG (LCPRNG).
Linear congruent PRNG Linear congruent PRNG (LCPRNG) is a common method for generating pseudorandom numbers. It is not cryptographically strong. This method consists of calculating the terms of a linear recurrent sequence modulo some natural number m, given by the formula. The resulting sequence depends on the choice of starting number — i.e. seed. At different meaningsseed produces different sequences of random numbers. An example of implementing such an algorithm in JavaScript:<30; i++)
console.log(rand())
Const a = 45; const c = 21; const m = 67; var seed = 2; const rand = () => seed = (a * seed + c) % m; for(let i=0; i
Many programming languages use LCPRNG (but not exactly this algorithm(!)).
Another property is reproducibility. Some implementations allow you to specify a seed, and this is very useful if the sequence must be repeated. Reproduction is needed in tests, for example. And there are many other things that do not require a secure RNG.
How Math.random() works
The Math.random() method returns a pseudo-random floating point number from the range = crypto.getRandomValues(new Uint8Array(1)); console.log(rvalue)
But, unlike the Math.random() PRNG, this method is very resource-intensive. The fact is that this generator uses system calls in the OS to gain access to entropy sources (mac address, CPU, temperature, etc...).
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