How do random number generators work? | Random Numbers

There is nothing truly random when it comes to computers. Computers do what they are told to do. In this video, we cover all about random numbers, pseudo-random numbers, and random number generators. After watching this video, you will be able to answer the below questions:
What are random numbers?
What are random number generators?
What are pseudo-random numbers?
How do random number generators work?
What is the initial seed?
Why is it important to pick a good initial seed?
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[@RijoBeats]

These digestible sessions are pretty cool

[@FuryOutlaw]

Thank you for the concise and straightforward content!

[@Imisambi]

gooooood stufffffffffffffff!!

[@shri5248]

Got clarity. Thanks a lot.

[@sadiasayed3917]

this so underatted i swear

[@Nabil_Khori]

Thanks this is do easy to understand u gained new subscriber

[@Rando_Shyte]

Tres interesting... Was watching a video about quantum entanglement and the idea of randomness just seems strange to me. Like surely nothing can be truly random if all variables are known? Now I'm sounding deterministic lol.

[@AdrianCosman]

Nothing wrong with determinism, just embrace it

[@chiraz-p2g]

Very helpful video, Thank you!

[@vibhordwivedi5070]

Well explained, must watch video❤

[@florianwege7563]

I thought the "seed" only denotes the starting value as in you plant a tree and is thus not dynamic for different iterations of the same RNG. The current state could also be a function of multiple previous states. Furthermore, each iteration could depend on some exterior parameter like the temperature. But more importantly, it could be stated that the distribution of the output values of an RNG is not necessarily even, good statistical properties are a quality characteristic of an RNG. Lastly, the Pseudo RNG as a model could be contrasted to True RNGs and Cryptographically Secure Pseudo RNGs.

[@siddharthrana8525]

thanx buddy 🎉 but i have a quetion for you ? if we have only random numbers from 1 to 99,00. so how can we find seed or anything for predicte the next number.

[@letsdiscussitoversometea8479]

By ultimately establishing every single parameter that the computer works on to determine the initial seed... However, such a feat would require several billion generations of several world populations' entire lifetimes, just to reach what is - ultimately - still technically possible. Because everything in computing is binary (i.e consisting of 1s and 0s), there will DEFINITELY be a point where this can be established. Whether or not you're up to _trying,_ is still your free choice I suppose! 🙂

[@irmandade1mausoleu]

since the number are limited, you just need to find the pattern between the values. And it requires a lot of experience with math patterns.

[@superfit2707]

How can it be random if we are seeding the initial number - machine should know that it has to generate a random number but it should decide the numbers on its own - in that way we can truly call it as random number generator

[@alolosbasha]

The initial seed could be the time of day for example Check vid at end it is stated

[@geanluiz100]

Have You actually watched the video?

[@aarynforehand3130]

The computer doesnt think....it can only do what it is told.

[@letsdiscussitoversometea8479]

The computer determines the initial seed dependent upon variables which have been determined before the RNG instruction is executed. So for example, a given number of milliseconds may have passed inside the computer's internal clock, which would therefore consist of the number of the specific initial seed. Put even more simply, let's say that 1,494 milliseconds have passed since the computer booted up and was ready to accept instructions from the user; 1,494 milliseconds, could produce an initial seed, of, say, 646. Were it 1,495 milliseconds, then the computer could produce an initial seed, of, say, 71. 1,496 milliseconds, could produce an initial seed, of, say, 50935. All predetermined numbers as far as the manufacturer programmed-in initial seed might happen to be, but certainly not clearly noticeable to the person using the computer. If - just by astonishingly incidental chance the next time you booted the computer up, and took 1,494 milliseconds to execute an RNG instruction, the initial seed would - once again - be the hypothetical 646 given in the above example. In other words, it is ultimately fixed, and isn't *_truly_* random, no. But it is *_virtually_* random as far as the *oblivious* end user is concerned. And now that you know, you're technically just that little bit *_less_* oblivious, and could try to repeat the experiment, to see how the RNG instruction works on a given computer.

[@pihlajafox]

It can't give you a random number without rng

[@pineapplejuice1156]

Interesting. Thank you for the explanation

[@mirriamjulile9738]

Sir if I may ask, How to get the Seed as well as that percentage you used?

[@The_Ancient_Guardian]

escelent video, thank very much.

[@SaumyaSharma007]

Awesome 😎👍 Thanks

[@6up5ohcopoutprocon]

THANK YOU!!

[@as_salafi_gadgets]

Very perfectly explained

[@pankajroshan2617]

Really nice video.

[@eslam_faris]

Is there is any tool to put the numbers and getting the results?

[@letsdiscussitoversometea8479]

You could simply write a machine code program which instructs the computer to display the given numbers using something like the PEEK command I suppose (but PEEK is a BASIC instruction, not a straightforward machine code instruction).

[@irmandade1mausoleu]

so the Math.radom() function just uses a random seed(number) which is based on specific datas on the computer, like the number of ms and the keyboard buttons clicked in the day? wow, l thought it was a special rock that emits a different eletric charge everytime its pressed, but using the user as a compoment of the code is just... interesting, since the human is unpredictable by nature... most of the times

[@mariodykstra6555]

I want to equip the Count’s Pipe Organ with a Random Number Generator. The Number of the Day is Seemingly Random.

[@udaykirangarlapatti1622]

U got a subscriber

[@nicolasleite8519]

last 20 seconds were the most clarifiers, lol

[@gautamthulasiraman18]

Thanks man ❤️. You saved me..

[@sharathpujari6364]

How is the formula used to calculate

[@irmandade1mausoleu]

just a bunch of random basic arithimetic

[@Cubixander]

It would be better if you added the past seed to the next seed if it repeats

[@noobicon4118]

What if I used random function giving the range 10 and it generates a value let's say 6 so when refresh it and use random function again giving range 10 will it give same value again?? Because it's using a specific formula which would give us the value

[@JGD714]

That's on the seed. If refreshing your hypothetical random function you also reset the seed to be the same every time, then yes you will get the same initial value after the refresh.

[@roberthutchison8197]

I have a thought on how to choose a random number. Why not use the value of Pi? As we know, Pi has NO resolution and so print out a couple of pages of those numbers and pick some!

[@ArtyukhovBogdan]

How do you know which ones to choose? Another PI? Recursive, isn't it?)

[@roberthutchison8197]

@@ArtyukhovBogdan Isn't that the idea, if you don't know, how will anyone else!

[@JGD714]

@@roberthutchison8197 *1 year later* he means that the machine needs to know which numbers to pick, but the machine can't randomly pick Pi numbers, so a human has to pick which numbers to pick, so all you're doing is using those numbers as a seed, so it's literally the same system we use right now, just that you use Pi was your math formula.

[@bahavamuru8354]

Thanks master,I win 200RM in Malaysia 4d lottery

[@CHUKrishnavel-cq1co]

How bro

[@lamer8310]

banger

[@siddhuyarragani7742]

The random numbers are 4, 2, 21, 7,1,28 can please tell me sir how???

[@Inwbpwns4evr]

% means the modulus (or “remainder”) between two numbers. 85%12 is the same as writing 85 mod 12 What you do first is divide the numbers 85/12= 7.083 Now we see that 7*12 is the last whole multiple before we hit 85. Therefore the modulus or the “remainder” will be 85-(7*12)=85-84=1 So we can now say that 85%12 (85 mod 12) = 1 A simpler example would be 7%3 = 1 or 9%7 = 2 Hope this helps! ◡̈

[@AnimA-v2o]

awesome

[@ddphotospalani299]

Any idea

[@killamaita]

The reason dice don't roll the same is because they are perfectly rigged but we roll them different and we roll them different because we are perfectly rigged to want randomness no matter what!

[@harsh9558]

Interesting

[@sudalairaj3569]

115043,376453,506852 next numbers and next numbers

[@pikazap6672]

my friend once told me im like a random generator of words. now at least I know how I function unlike him.

[@TransformativeMind]

Trying find edge on bovada

[@botayza22]

What is *

[@wahyoetube406]

Am I the only Person, think how this work in LOTRE System??? 🤔

[@sdiaz212b]

English?

[@singaprakash106]

Me also

[@shiel1]

bro forgot about 3 (0:54)

[@neeshu]

I would have a for loop run from 1-100 and stop a clock after every 1-2 milliseconds and get a new random number

[@kazuha3149]

So youre saying lotto is rigged 😂

[@songdjbaba824]

Hii

[@irmandade1mausoleu]

dios mio, this guy stole 1:27 seconds of my time.

[@Decent9669]

RANDOM NUMBER

[@songdjbaba824]

Teen patti game how to random number work

[@leviackermann4080]

That's literally predictable

[@MutairuW.O]

Great explanation 😊😊