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    Author Topic: WTF is this? Someone found a trick for fast mining?  (Read 15870 times)
    valiron (OP)
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    May 02, 2015, 09:10:14 PM
    Last edit: May 04, 2015, 09:54:11 AM by valiron
     #41

    FWIW, I think Valiron is engaging in misconduct here. At first there is an "innocent" observational question and then after people point out that the observation is expected (because of hardware that only uses a limited set of nonces, and because of the block soft-target maximum) he had adopted a position of "secret knowing" that substantiates his position and yet he will not explain it.

    I suspect as much as well, but to give Valiron the benefit of the doubt and for other lurkers to potentially learn something I will try explaining it as simply as possible.

    Can you explain the mathematical reason why nounces produced by ASICs are not uniform? The references you provide obviously do not explain that (nice paper by the way).

    The papers do explain biases towards certain numbers and why certain sets of numbers appear more often than other numbers and how these probabilistic biases can mislead you into drawing erroneous conclusions. Based upon the quickness of your reply you obviously didn't read the papers so I will provide a video for you to understand this principle-
    https://www.youtube.com/watch?v=4UgZ5FqdYIQ

    In the video the bias is created because the sampled numbers are not random but selected based upon our bias to start at 0 or 1 and work in a linear manner as humans.

    The reason why the nonces produced aren't randomly uniform is because ASIC's search through random numbers in a linear and non random manner within certain ranges. There are many potential nonces that that could satisfy the block to hash given a specific difficulty but since asics search for these nonces in a linear fashion within a given range it greatly increases the probability that similar(contrasted to the potential range of possibilities of potential numbers) nonces will be found for each block.

    This is further emphasized by the fact that there are now very large mining pools running most of the same exact hardware for most of their hashrate which has the exact same characteristics on how it searches for valid nonces.  

    Still this doesn't provide a mathematical explanation of the clustering around 2^31.

    I didn't read in detail the MAA paper, but I know exactly what you mean by refering to it. I also know that it doesn't explain the above clustering. If I get the time I will parse the blockchain and do some statistics on the nounces to determine their distribution.
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