Argevolen

did anyone test a new client on windows 7?

Thin value bet on the flop🤣 profit:Waterfall:

If you rake 100k CP you get more than 100eu in value (BP, Tickets, Bonus) and so on, etc. So before you come out trying to be a smart ass, at least do a litt bit of research. And at the end of the day, nobody is forcing you to play. Honestly i believe you are a nightmare as a costumer at any venue in the real world. 😏 ________________________________________________________________________________ If you rake 100k CP you get more than 100eu in value (BP, Tickets, Bonus) and so on, etc. aaaand..... 100k CP (1000 eu rake) / more than 100eu in value = more than 10% rakeback🤣 Dear @FreedoM I find it very funny when a dumb ass starts telling a smart ass what she should do. But I'm not interested in wasting time on you. So I'm asking you to refrain from commenting on my posts...

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How much does a moderator's head cost now?🆒

5e MTT 150 days 10k -profit ROI-33% - 6K mtt 40 mtt each day ROI-100% - 2K mtt 13 mtt each day

Dude, what's your definition of a split pot? If i have A♠️K♦️ and you have A♣️K♥️ And the board is 3♣️4♣️5♥️6♦️7♦️ Who's got the 'higher kicker'? A♣️ - trump - Unibet corpotate color - green -

May the Force be with you

I"ll be back 🆒

1990 2020

Good job! There's one more mistake. But only the regular will find it...😏 GL

Standart open raise 3bb (533bb):Rofl: KK -100% call QQ - 100% call He plays with Jonasson6. 10-10 - ? we need 34% equity for a good call. all-in from a maniac and call from tight reg

All major poker rooms use entropy sources in their RNGs. In the 21st century this is the basis for the safety and quality of number generation. It also significantly reduces the ability of the poker room to falsify the game. Which entropy source uses relax gaming in the RNG for poker? Something tells me that this source of entropy is called "random is random."😏

https://www.random.org/randomness/ These characteristics make PRNGs suitable for applications where many numbers are required and where it is useful that the same sequence can be replayed easily. Popular examples of such applications are simulation and modeling applications. PRNGs are not suitable for applications where it is important that the numbers are really unpredictable, such as data encryption and gambling. __________________________________________________ Along with the existing need to generate easily reproducible sequences of random numbers, there is also the need to generate completely unpredictable or simply completely random numbers. Such generators are called random number generators (RNG). Since such generators are most often used to generate unique symmetric and asymmetric encryption keys, they are most often built from a combination of crypto-resistant PRNG and an external source of entropy (and it is this combination that is now commonly understood as a RNG). Almost all major microchip manufacturers supply hardware-based PRNGs with different entropy sources, using a variety of methods to cleanse them from inevitable predictability. However, at the moment the speed of random number collection by all existing microchips (several thousand bits per second) does not correspond to the speed of modern processors. In modern research attempts are made to use the measurement of physical properties of objects (e.g. temperature) or even quantum fluctuations of vacuum as a source of entropy for RNG. In personal computers, the authors of software RNG use much faster sources of entropy, such as the sound card noise or processor clock counter. Gathering entropy was the most vulnerable point of the RNG. This problem has not yet been fully solved in many devices (e.g. smart cards), which thus remain vulnerable. Many RNG use traditional tried and tested, though slow, methods of entropy collection, such as measuring user response (mouse movement, etc.), such as in PGP and Yarrow, or interactions between threads, such as in Java SecureRandom.

Encryption and PRNG work on the same principle. If you are interested, read the article. https://en.wikipedia.org/wiki/Pseudorandom_number_generator