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Please someone inteligent explain provably fair


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Posted
On 12/22/2024 at 4:44 AM, made_in_vachina said:

Is “Provably Fair Gaming” Actually Fair?

In provably fair gaming, the fairness is based on a combination of cryptographic methods and a seed value, which helps determine the outcome of a game. Both the gaming platform (server) and the player typically contribute a seed value, and together they generate a "random" result. The idea is that neither party should be able to manipulate the result once the game begins.

However, there are potential ways that the initial seed could be manipulated or exploited:

1. Platform Manipulation (Server Seed Pre-Knowledge):

The gaming platform generates a seed (server seed) and may reveal it after the game. If the platform is dishonest, it could choose a seed in such a way that benefits them, such as by running simulations of different seeds in advance to ensure a favorable outcome.

Even though the seed is eventually revealed, if it's altered just before the reveal, the player may not realize that the game was biased from the start.

2. Poor Randomness (Weak Random Number Generators):

If the platform uses a weak or predictable random number generator (RNG) to create its server seed, it may be possible for someone to predict the outcomes. A weak RNG could produce patterns or be reverse-engineered, making it easier to manipulate outcomes in subtle ways.

The player would still see a "provable" game, but the fairness would be undermined by the initial weakness in generating the random seed.

3. Delay in Player Seed Contribution:

In many provably fair systems, players contribute their own seed, often by clicking a button or making an input (like picking a number). If there is a delay in the player’s contribution, a malicious platform could, in theory, wait to see the player’s seed and then manipulate its own contribution accordingly to get a favorable result.

This is known as a timing attack where the server adjusts its response in the small window after receiving the player’s seed and before finalizing the result.

4. Biased or Pre-Generated Server Seed:

Some dishonest platforms might use a biased server seed that they know will statistically favor certain outcomes. Even though the outcome appears random, it is biased toward a predetermined result, but the cryptographic proof still "checks out" since the manipulation occurred at the generation stage.

In extreme cases, a rigged game can use the same seed over multiple games, where the platform knows the exact outcome beforehand.

5. Seed Obfuscation:

Some platforms might obscure how the server seed is generated or use methods that seem complex but aren't truly random. This makes it harder for players to understand if the seed was truly random and increases the chances of subtle manipulation.

Countermeasures:

To mitigate these issues, the ideal provably fair system should:

Generate server seeds using true random number generators (TRNGs) or reliable pseudo-random number generators (PRNGs).

Commit to the server seed in a hashed form before the player contributes their seed, so it can't be changed.

Allow players to verify both the server seed and the player seed at the end of the game.

Utilize techniques like "nonces" (number used once) to prevent the same seed from being reused or guessed.

While provably fair systems provide transparency, they are not bulletproof against subtle manipulation if the platform isn’t fully trustworthy or uses weak randomization methods.

 

Great response. A company that has billions to Invest In technology and the smartest minds is going to have the best possible ways of manipulation. If they loose a 10% $$ in crypto holdings it's a flick of a switch to make it back from depositors. It's probably one of the greatest investment schemes I have ever come across 

Posted
1 minute ago, Nomsa said:

Great response. A company that has billions to Invest In technology and the smartest minds is going to have the best possible ways of manipulation. If they loose a 10% $$ in crypto holdings it's a flick of a switch to make it back from depositors. It's probably one of the greatest investment schemes I have ever come across 

Please tell me why stake is not giving monthly bonus in India 

Please tell me why 

Please reply 

@Nomsa

Posted
5 minutes ago, jaat0006 said:

Hello please tell me why stake not giving monthly bonus in India please tell me why

And merry Christmas 🎅 🎄 ❤️ 

Really?

Posted
10 minutes ago, jaat0006 said:

Yes ....

All Indian stake user are waiting for monthly bonus 

Please tell Eddie for monthly bonus 

Atleast give Christmas 🎄 bonus 

Please 🙏 

@Nomsa

Shouldn't be relying on a stake bonus to enjoy Christmas with your family. You need to get outside and touch grass and see the sky 

Posted
3 minutes ago, Nomsa said:

Shouldn't be relying on a stake bonus to enjoy Christmas with your family. You need to get outside and touch grass and see the sky 

Yes you I thinking you are right ️ 

Thanks for your advice 

Merry Christmas 🎅 🎄 ❤️ 

Posted
1 hour ago, AbZK said:

1. Dealer Bust Probability in Blackjack

The dealer’s bust probability depends on several factors, such as:

House rules: Does the dealer hit on soft 17, and how many decks are in play?

Dealer upcard: Different starting upcards significantly affect bust rates.

Remaining deck composition: In a "provably fair" system, the sequence of cards (determined by the RNG) impacts this dynamically.

Typical Dealer Bust Probabilities

Under standard blackjack rules with multiple decks:

The dealer busts ~28%-35% of the time overall, with specific probabilities for starting values:

Dealer showing 16: Bust ~62%.

Dealer showing 15: Bust ~58%.

The bust rate you’re observing—18.75% (1,500 busts in 8,000 hands)—is far below expected values.

2. Observing Unlikely Outcomes

We calculate how improbable your observed data is under the assumption of fair play.

Expected Busts vs. Observed

Let’s calculate how many busts you should expect if the true bust rate is 28%:

Expected Busts = 0.28×8000=22400.28 \times 8000 = 22400.28×8000=2240

You observed 1,500 busts, which is significantly lower. The deviation:

2240−1500=7402240 - 1500 = 7402240−1500=740 fewer busts than expected.

Probability of Such a Deviation

The likelihood of observing only 1,500 busts (or fewer) out of 8,000 hands is extremely low, as calculated earlier. To understand this better, let’s simulate this outcome using a binomial distribution to model the dealer busts:

Model: The binomial distribution defines the probability of kkk successes (dealer busts) in nnn trials (hands), with p=0.28p = 0.28p=0.28 (expected bust rate).

Simulation and Analysis:

Let’s simulate 8,000 hands with a 28% bust rate repeatedly and see how rare it is to observe 1,500 busts.

Running the Simulation

In 1,000,000 simulations of 8,000 hands with an expected bust rate of 28%, the probability of observing 1,500 or fewer busts is effectively zero. This confirms that such an outcome is nearly impossible under normal probabilistic conditions.

3. What Could Be Happening?

If the results are provably fair, and yet you observe such statistically improbable outcomes, it suggests potential issues. Let’s explore possible reasons:

(a) RNG or Algorithmic Bias

Pseudo-Random Number Generator (PRNG): If the randomness algorithm isn’t properly implemented, it can skew outcomes. For instance:

Non-uniform card distribution could lead to fewer dealer busts.

Repeated patterns in card sequences may disproportionately favor the dealer.

Seed Manipulation: Even in provably fair systems, subtle manipulation of the server seed or card generation logic could result in biases. For example:

If the system ensures the dealer survives more often, even slight changes to the RNG can lead to cumulative effects over thousands of hands.

(b) Misinterpreted Rules

House rules might differ from standard expectations. Consider:

Dealer hitting soft 17: This increases survival chances.

Deck composition: If fewer decks are used, card distribution changes significantly. Verify if single-deck, double-deck, or infinite reshuffling applies.

(c) Systematic Favoritism

Even provably fair systems might exploit nuances that are technically "fair" but heavily favor the house, such as:

Strategic shuffling: While the shuffle is provable, its order may statistically benefit the dealer.

4. Analyzing Similar Scenarios

Your case isn’t unique. Many players report "impossible" streaks or outcomes in provably fair games. To address this:

Compare Across Platforms:

Play the same number of hands on another provably fair platform. If results vary significantly, the bias may be platform-specific.

Analyze Card Distributions:

Track the sequence of cards dealt to you and the dealer. Do the distributions match expected probabilities for a shuffled deck?

Your observed data—1,500 dealer busts out of 8,000 hands—is so far from statistical expectations that it strongly suggests something unusual is happening. While provably fair systems claim to guarantee fairness, implementation flaws or intentional design biases could be responsible. Explore the platform’s transparency, and if needed, play live black jack

The Hard Part is We dont know how many decks on in Play on Virtual Black Jack.

OMG, Chat GPT

2 hours ago, jaat0006 said:

Hello culitofuerte

I am from India 🇮🇳 

I want to know that today is Christmas 🎄 and the stake gave  bonuses to the American people or not because in India there is no bonuses is given in India 

Please tell me if you have received any bonuses like Christmas 🎄 bonuses or monthly bonus 

Sorry for any grammatical mistake in my chat because my language is Hindi...

😄😄

 I'm on .com man, same as you. Is there a different site for India? sorry but I'm not aware
But if you are on .com as me you we will get it on 26th as the last year 

Posted
56 minutes ago, Fattan90 said:

that's why there is a reset seed option (voice from intelligent). lmao

I'm always changing seed and use my own 64 max character
But there is no change, the same bullshit. I believe that provably fair it's just a stamp for marketing and that's all

Posted

this was a very interesting read...still going through it...in my opinion, probability of streaks will never be consistent the longer you play. And it will always be against you...

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