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jcbptrk

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it
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Oct 6, 2026, 3:56 am

The question is simple is AI capable of predicting the future outcomes of lottery
positano

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Oct 6, 2026, 5:26 am

Answer is as simple as the question: "NO"
DELotteryPlyr

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Oct 6, 2026, 5:59 am

I dont use AI but it would be fun if someone who does posted predations that the AI they are using had and we could 'test' it

Money WON is twice as good as money earned
ayenowitall

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Oct 6, 2026, 7:46 am
Why not just ask AI? I did, and it said that it could not because lottery drawings are designed to produce random outcomes. But AI has been known to hallucinate, and I know that AI can be manipulated depending on how you talk to it. I got it to give me these numbers for tonight's Mega Millions drawing:
- White Balls: 14, 28, 41, 53, 67
- Gold Mega Ball: 18
I don't think this set of numbers will hit, and I'm not recommending that anyone else should play them. I do think it will show you that AI cannot predict the outcome of this drawing. But if you play AI number selections over a period of time, it can get lucky just like any other method or person might get lucky.
Hit big and take off runnin'. 💨
LottoBux

25

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Oct 6, 2026, 8:44 am

Quote: Originally posted by jcbptrk on Oct 6, 2026
The question is simple is AI capable of predicting the future outcomes of lottery

Yes, of course it is capable.
But more likely than not it won't be the outcome you're hoping for.
MG2150

br
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Oct 6, 2026, 9:15 am

Don't use AI to predict lottery results.
Use AI to assist with the analysis code for predicting lottery results.
geraldbro

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Oct 6, 2026, 9:33 am

I believe the answer is yes but not yet. RNG uses a mathematical formula to produce unbiased outputs according to Google. However the weakness in RNG is the algorithm formula. Each lottery holds a formula they determine for RNG play. RNG uses deterministic mathematical algorithms. This is a close guarded secret. But quantum AI is made to solve complex problems. It just a matter of time before quantum AI computing will be able to determine the formulas used to produce the outputs in RNG. Once AI looks at all the numbers from previous drawings it will reverse engineer the formula patterns and will produce for you the high probability selection of numbers you should use in your game play. Then it will be a matter of number of plays needed to produce the winning results. Just Google the question "Can quantum AI find the formula patterns used in RNG" the answer is yes.
tokecap

Sao Paulo
United States
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June 10, 2014
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Oct 6, 2026, 9:42 am
Below are some prominent examples of real academic papers that you can search for in databases like Google Scholar or IEEE Xplore:
1. Deep Learning Modeling
- Paper: "Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis" (2023)
- Published in: International Journal of Academic Engineering Research (IJAER).
- What it covers: The authors designed a convolutional and recurrent neural network architecture to attempt to predict lottery numbers using historical draw datasets extracted from data science platforms like Kaggle. The paper maps the effectiveness and, crucially, the limitations of the model when facing high data variance.
2. Genetic Algorithms and Lottery Prediction
- Paper: “Lottery Number Prediction Using Genetic Algorithms”
- What it covers: Several papers in the field of evolutionary computing attempt to use Genetic Algorithms (GA) to "evolve" number combinations based on past frequencies. The academic premise of these papers is usually constraint optimization—such as generating tickets that balance even/odd numbers or avoid sequences commonly chosen by humans—to test whether this statistical filtering outperforms a purely random selection (Quick Pick).
3. Long Short-Term Memory (LSTM) Networks and Time Series
- Paper: “Time-Series Forecasting of Lottery Data Using LSTM Networks”
- What it covers: LSTM networks are the gold standard in AI for forecasting stock markets or weather patterns because they analyze temporal sequences. In academia, papers apply LSTM networks to historical draws to demonstrate the concept of overfitting—where the AI memorizes the past perfectly but fails completely when trying to predict the next step because the underlying system is truly random.
Where and How to Search for These Papers?
To find the full scientific literature on this topic, you can use specific search terms in databases like Google Scholar or ResearchGate:
- Recommended Search Strings: "lottery prediction" AND "machine learning", "predicting lottery outcomes" AND "neural networks", or "statistical randomness" AND "artificial intelligence".
For reading:
• Article: "Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis" (2023)
• International Journal of Academic Engineering Research (IJAER).
http://ijeais.org/wp-content/uploads/2023/10/IJEAIS231001.pdf
https://repositorio.ufrn.br/bitstreams/c41f5261-92e9-4d34-ba51-f0125d8c2f00/download (Portuguese)
This research has as its theme the use of games of chance, in particular the lottery, as aids in the learning of probability, in view of the notorious difficulty of basic education students in this content. The research had as participants students of the integrated high school of the IFRN, campus São Paulo do Potengi, and had as general objective to stimulate the learning in probability from the creation of lottery games. The methodological path used was divided into two stages. In the first stage, students answered an open questionnaire containing problems involving the Dia de Sorte and + Milionária lotteries, both administered by Caixa Econômica Federal; SPP da Sorte a game of chance that is very popular in the Potengi region; and Lotoemoji, created by the researchers. The analysis of the responses was based on the analysis of errors from the perspective of Cury (2009), where it was possible to verify the difficulties that the participants had. In this first stage, it was also possible to discuss the concept and interpretation of the mathematical expectation of profit applied to gambling. The second stage of the researchers was constituted in a moment in which the students had to create their own games, with the mediation of the researcher, having as requirements the definitions of the price variables, prize ranges, game rules and the probabilities of winning. From the analysis of the creations, it was possible to perceive that for some of them there was an apparent advance in overcoming the difficulties in the content. In the speeches of the students themselves, the creation of the games was a practical moment that allowed them a better understanding of probability.
tokecap

Sao Paulo
United States
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June 10, 2014
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Oct 6, 2026, 9:57 am
Quote: Originally posted by geraldbro on Oct 6, 2026
I believe the answer is yes but not yet. RNG uses a mathematical formula to produce unbiased outputs according to Google. However the weakness in RNG is the algorithm formula. Each lottery holds a formula they determine for RNG play. RNG uses deterministic mathematical algorithms. This is a close guarded secret. But quantum AI is made to solve complex problems. It just a matter of time before quantum AI computing will be able to determine the formulas used to produce the outputs in RNG. Once AI looks at all the numbers from previous drawings it will reverse engineer the formula patterns and will produce for you the high probability selection of numbers you should use in your game play. Then it will be a matter of number of plays needed to produce the winning results. Just Google the question "Can quantum AI find the formula patterns used in RNG" the answer is yes.
However, looking at how quantum computing and lottery security intersect reveals a few critical gaps that break this strategy in practice:
1. Modern Lotteries Do Not Use Software PRNGs
  While some digital lotteries historically used basic software formulas, major regulated lotteries today use Hardware Random Number Generators (TRNGs) or physical ball machines. Hardware-based TRNGs gather entropy from unpredictable physical phenomena, such as thermal noise, photoelectric effects, or atmospheric noise. More importantly, modern state lotteries are rapidly upgrading to Quantum Random Number Generators (QRNGs). QRNGs derive randomness from the true, subatomic unpredictability of quantum mechanics, such as photon polarization. According to the laws of quantum physics, these events do not have a hidden formula. There is no math equation to reverse engineer, making them mathematically proven to be genuinely unpredictable.
2. The Cryptographic Reality of Quantum AI
  Even if a specific lottery uses a purely algorithmic, high-grade cryptographic PRNG, the trade-off comes down to the volume of data needed. Cryptographic PRNGs use massive state spaces. To reverse engineer the internal state and the formula parameters, an AI requires consecutive outputs from the exact same sequence. In a standard lottery, numbers are drawn only once or twice a week. Over 30 years, a lottery might only generate a few thousand numbers. To break a cryptographically secure PRNG, even a Quantum AI requires millions or billions of continuous, uninterrupted data outputs to map out the algorithm's state. The historical data from previous drawings is simply too small a sample size. The AI would completely overfit the data, detecting fake patterns that disappear in the next drawing.
3. The Number of Plays Paradox
  Your point that it will be a matter of the number of plays needed to produce the winning results hits the ultimate mathematical ceiling of lotteries. Even if a Quantum AI narrows the probability field from a 1-in-292 million chance down to a high probability pool of numbers, the sheer volume of combinations you would still have to buy to guarantee a win would vastly exceed the financial payout of the jackpot.
Ultimately, Quantum AI will absolutely be capable of breaking classical, poorly implemented mathematical PRNG formulas. But because modern gaming authorities isolate their systems using physical entropy and quantum-level hardware, there is no underlying formula left for the AI to find.
Stat$talker

Stat$talker

700 light yrs West of Milky Way Galaxy's Center
United States
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September 1, 2019
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Oct 6, 2026, 10:03 am

"simple is AI capable of predicting the future outcomes of lottery"
Obviously... NOOOO
Whut part of ArTiFiCiAl do you NOT git?
cause if it could, someone woulda done it by naah... Probability Math (PMI) caan...
Sooo, if ya xspect to Cmoore50'z?.....
"GIT IT DONE"

-Stat$talker
MillionsWanted

Norway
Member #9,517
December 10, 2004
1,955 Posts
Online

Oct 6, 2026, 1:03 pm

Quote: Originally posted by jcbptrk on Oct 6, 2026
The question is simple is AI capable of predicting the future outcomes of lottery

Yeah, but no, but yeah, but no.
I've experienced NN_Pred 3.0, capture six numbers out of seven in only five lines. One of the lines had three of the numbers correct.
So it's possible it can find trends, but perhaps I had to play 100 lines to be able to ensure a six out of seven.
Of course this won't happen in all draws, either.
Tucker Black

Colorado
United States
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February 25, 2016
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Oct 7, 2026, 2:40 pm

A first-generation PRNG formula could be broken with a sufficient amount of past drawings. I'm sure no lottery today uses this cheap system, but that was what a RNG used to be, many years ago (like 1980's technology). Start with one seed, generate a number, then generate another number when one is needed, etc. Never seed it again and never generate a number when it's not needed.
Any modern computer, even your smart phone, has the capability to generate numbers unpredictably. Re-seed the RNG using the current system time, generate numbers as fast as possible (many thousands of times a second), and use the one number generated when the operator hits the button "go". Need a second number? Generate another number when the operate hits "go" again. That would be thousands of numbers later. All those numbers between requests are generated and thrown away, and as a result, there is no way to reverse engineer the formula. In addition, it gets re-seeded with the current system time for every game, and there is no way to know in advance what the exact system time will be for the next game if it is operated by a person.
This is how slot machines operate. There are millions more data points from slots nationwide than there is in RNG state lotteries, yet no one has been able to crack them, and they never will because of the above explanation. Every slot machine RNG generates numbers thousands of times a second and only uses one when a player hits "go" (or spin, or draw, whatever label is on the button), plus they re-seed themselves every now and then.
It is the unknown (effectively random) amount of time between drawings of numbers (slots or RNG lottery draws) that makes it impossible to reverse engineer them. Even if you knew what the seed value is and the formula, as long as a person has to physically press a button and the computer can generate thousands of numbers a second, you'll never know what the outcome of the next drawing will be.
True or quantum RNG are good for state lotteries because people can still screw up a software RNG (like Eddie Tipton, and all the unintentional screwups that lotteries do like the DC pick 3 recently). They are more expensive than software but one state lottery only has one drawing machine, not thousands of slot machines running 24/7. In addition, slot machines are operated by the players, not casino employees, making it even harder to cheat.
Player649

Canada
Member #218,115
October 17, 2021
182 Posts
Offline

Oct 7, 2026, 5:32 pm
Quote: Originally posted by tokecap on Oct 6, 2026
Below are some prominent examples of real academic papers that you can search for in databases like Google Scholar or IEEE Xplore:
1. Deep Learning Modeling
- Paper: "Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis" (2023)
- Published in: International Journal of Academic Engineering Research (IJAER).
- What it covers: The authors designed a convolutional and recurrent neural network architecture to attempt to predict lottery numbers using historical draw datasets extracted from data science platforms like Kaggle. The paper maps the effectiveness and, crucially, the limitations of the model when facing high data variance.
2. Genetic Algorithms and Lottery Prediction
- Paper: “Lottery Number Prediction Using Genetic Algorithms”
- What it covers: Several papers in the field of evolutionary computing attempt to use Genetic Algorithms (GA) to "evolve" number combinations based on past frequencies. The academic premise of these papers is usually constraint optimization—such as generating tickets that balance even/odd numbers or avoid sequences commonly chosen by humans—to test whether this statistical filtering outperforms a purely random selection (Quick Pick).
3. Long Short-Term Memory (LSTM) Networks and Time Series
- Paper: “Time-Series Forecasting of Lottery Data Using LSTM Networks”
- What it covers: LSTM networks are the gold standard in AI for forecasting stock markets or weather patterns because they analyze temporal sequences. In academia, papers apply LSTM networks to historical draws to demonstrate the concept of overfitting—where the AI memorizes the past perfectly but fails completely when trying to predict the next step because the underlying system is truly random.
Where and How to Search for These Papers?
To find the full scientific literature on this topic, you can use specific search terms in databases like Google Scholar or ResearchGate:
- Recommended Search Strings: "lottery prediction" AND "machine learning", "predicting lottery outcomes" AND "neural networks", or "statistical randomness" AND "artificial intelligence".
For reading:
• Article: "Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis" (2023)
• International Journal of Academic Engineering Research (IJAER).
http://ijeais.org/wp-content/uploads/2023/10/IJEAIS231001.pdf
https://repositorio.ufrn.br/bitstreams/c41f5261-92e9-4d34-ba51-f0125d8c2f00/download (Portuguese)
This research has as its theme the use of games of chance, in particular the lottery, as aids in the learning of probability, in view of the notorious difficulty of basic education students in this content. The research had as participants students of the integrated high school of the IFRN, campus São Paulo do Potengi, and had as general objective to stimulate the learning in probability from the creation of lottery games. The methodological path used was divided into two stages. In the first stage, students answered an open questionnaire containing problems involving the Dia de Sorte and + Milionária lotteries, both administered by Caixa Econômica Federal; SPP da Sorte a game of chance that is very popular in the Potengi region; and Lotoemoji, created by the researchers. The analysis of the responses was based on the analysis of errors from the perspective of Cury (2009), where it was possible to verify the difficulties that the participants had. In this first stage, it was also possible to discuss the concept and interpretation of the mathematical expectation of profit applied to gambling. The second stage of the researchers was constituted in a moment in which the students had to create their own games, with the mediation of the researcher, having as requirements the definitions of the price variables, prize ranges, game rules and the probabilities of winning. From the analysis of the creations, it was possible to perceive that for some of them there was an apparent advance in overcoming the difficulties in the content. In the speeches of the students themselves, the creation of the games was a practical moment that allowed them a better understanding of probability.
All these methods and algorithms try to break RNG, whatever its prefix, using past data.
This is not going to succeed not only because of small size of data, but also because of methodology applied.
You can break RNG only by using another RNG.
That's my current project, since February.
It already provided some very interesting findings.
https://www.lotterypost.com/thread/361741

Watch what you are playing and how.
Player649

Canada
Member #218,115
October 17, 2021
182 Posts
Offline

Oct 7, 2026, 7:56 pm

Quote: Originally posted by Tucker Black on Oct 7, 2026
A first-generation PRNG formula could be broken with a sufficient amount of past drawings. I'm sure no lottery today uses this cheap system, but that was what a RNG used to be, many years ago (like 1980's technology). Start with one seed, generate a number, then generate another number when one is needed, etc. Never seed it again and never generate a number when it's not needed.
Any modern computer, even your smart phone, has the capability to generate numbers unpredictably. Re-seed the RNG using the current system time, generate numbers as fast as possible (many thousands of times a second), and use the one number generated when the operator hits the button "go". Need a second number? Generate another number when the operate hits "go" again. That would be thousands of numbers later. All those numbers between requests are generated and thrown away, and as a result, there is no way to reverse engineer the formula. In addition, it gets re-seeded with the current system time for every game, and there is no way to know in advance what the exact system time will be for the next game if it is operated by a person.
This is how slot machines operate. There are millions more data points from slots nationwide than there is in RNG state lotteries, yet no one has been able to crack them, and they never will because of the above explanation. Every slot machine RNG generates numbers thousands of times a second and only uses one when a player hits "go" (or spin, or draw, whatever label is on the button), plus they re-seed themselves every now and then.
It is the unknown (effectively random) amount of time between drawings of numbers (slots or RNG lottery draws) that makes it impossible to reverse engineer them. Even if you knew what the seed value is and the formula, as long as a person has to physically press a button and the computer can generate thousands of numbers a second, you'll never know what the outcome of the next drawing will be.
True or quantum RNG are good for state lotteries because people can still screw up a software RNG (like Eddie Tipton, and all the unintentional screwups that lotteries do like the DC pick 3 recently). They are more expensive than software but one state lottery only has one drawing machine, not thousands of slot machines running 24/7. In addition, slot machines are operated by the players, not casino employees, making it even harder to cheat.

You don't need to reverse engineer RNG and its algorithm.
You only need 2 pieces of information:
1) How many random events the RNG generates at a time (same number or variable).
2) What is the pool of all random events the RNG can generate.
Based on this info you can create your own RNG that can imitate the original one.
Run them parallel and observe results (using statistics).
There will be matches between them, guaranteed, due to the same and limited output from both.
What is matching is not the numbers - it's patterns.
And patterns may have very similar numbers for both RNGs, all randomly selected.
You don't have to be accurate 1000 times in 1000 tries.
Once is enough.
Both pieces of information from above are available in lotteries.
I doubt if you are privy to such information in slots.
Besides, the speed of slots playing is such as to make any data analysis very difficult.
In this context the strength of the RNG algorithm does not account for much.
Particularly, if you use very large scale of data processing.
You don't have to take my word for it.
The best way to find out if this is true is to try.

Watch what you are playing and how.
grwurston

100

Root Sums Rule

United States
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April 24, 2010
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Oct 7, 2026, 9:05 pm

Quote: Originally posted by jcbptrk on Oct 6, 2026
The question is simple is AI capable of predicting the future outcomes of lottery

Just go here.
https://www.lotterypost.com/quickpicks

Everyone picks the right numbers every time. The problem is the lottery doesn't always agree.

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