Editing Talk:1193: Externalities

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: +1! A few hours ago this wasn't the case... What's up with all the 420's?? [[Special:Contributions/108.218.230.91|108.218.230.91]] 03:42, 2 April 2013 (UTC)
 
: +1! A few hours ago this wasn't the case... What's up with all the 420's?? [[Special:Contributions/108.218.230.91|108.218.230.91]] 03:42, 2 April 2013 (UTC)
:People keep posting hash values on the internet. Those universities are dirty cheaters, and they're all just entering the 420 hash in for their university without actually calculating it. '''[[User:Davidy22|<u>{{Color|#707|David}}<font color=#070 size=3>y</font></u><font color=#508 size=4>²²</font>]]'''[[User talk:Davidy22|<tt>[talk]</tt>]] 04:05, 2 April 2013 (UTC)
 
  
 
:: While this copy-cattism might be the reason for the proliferation of 420s (which, in India, is slang that, funnily enough, refers to a confidence-trickster) - note that at the beginning of the contest, a lot of different domain names all had 'scores' between 400-500. Now, if I'm not wrong, the hash contains 1024 bits. So you could be off by 1024 in the worst case, and 0 in the best case. But the spread was very narrow. Admittedly, you wouldn't notice the higher numbers, because only the best case scenario has been published, but from the clustering of the different universities (with respect to their scores), as well as the fact that it's taking this long for even ONE clear best score to emerge, seems to suggest that there IS something special about the 400-500 score band. Does anyone have any layman-level information on the statistics of the entropy of the Skein hash function? And the statistics of what error figure for random hash compared to given hash is most frequent? [[Special:Contributions/220.224.246.97|220.224.246.97]] 18:26, 2 April 2013 (UTC)
 
:: While this copy-cattism might be the reason for the proliferation of 420s (which, in India, is slang that, funnily enough, refers to a confidence-trickster) - note that at the beginning of the contest, a lot of different domain names all had 'scores' between 400-500. Now, if I'm not wrong, the hash contains 1024 bits. So you could be off by 1024 in the worst case, and 0 in the best case. But the spread was very narrow. Admittedly, you wouldn't notice the higher numbers, because only the best case scenario has been published, but from the clustering of the different universities (with respect to their scores), as well as the fact that it's taking this long for even ONE clear best score to emerge, seems to suggest that there IS something special about the 400-500 score band. Does anyone have any layman-level information on the statistics of the entropy of the Skein hash function? And the statistics of what error figure for random hash compared to given hash is most frequent? [[Special:Contributions/220.224.246.97|220.224.246.97]] 18:26, 2 April 2013 (UTC)

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