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15 2 I would like to start by saying I know nothing about Cryptography and was reading up on how to choose a random seed and this link is something that I found. What I basically understood that the seed has to be sufficiently random that guessing the seed would be hard. So the question is would the hash of a Tweet, at any given time, be a good candidate for a random seed? This is mainly because the content of a Tweet can be practically anything as it's being generated by a huge percentage of the world population. That said, I understand it is possible to game it by mass tweeting a specific string continuously from multiple accounts flooding the tweet stream with predictable seeds. So if this can be mitigated by blacklisting the bad usernames, is using tweets for seeds a viable option? ...

0 1 $begingroup$ Hi I am having problems to understand this: I have: $Omega = [0,1]$ , $Lambda =$ all subsets with defined length Let $A_{0}$ = {A $subset$ [0,1]: A is finite union of intervals} 1º: My doubt is that $A_{0}$ is a algebra but its not a sigma algebra. Why? Also, A = $(0,1/2) cup (1/2,3/4) cup (3/4,7/8) cup ... cup(1-1/2^{n},1-1/2^{n+1})...$ 2º: So the class of aleatory events would be bigger than $A_{0}$ . Why? How the set A is greater than $A_{0}$ ? measure-theory share | cite | improve this question asked Jan 8 at 19:17 Diogo Bastos Diogo Bastos 116 6 ...

Sbarco in Sicilia parte della campagna d'Italia della seconda guerra mondiale Soldati britannici in marcia durante la campagna in Sicilia Data 9 luglio-17 agosto 1943 Luogo Sicilia Esito vittoria degli Alleati Schieramenti   Italia   Germania   Regno Unito   Stati Uniti   Canada   Francia libera   Australia Comandanti Alfredo Guzzoni Albert Kesselring Hans-Valentin Hube Harold Alexander Bernard Law Montgomery George Smith Patton Effettivi 170 000/200 000 italiani [N 1] ~ 60 000 tedeschi [2] 265 carri armati [3] 1 500 aerei [4] Tra il 10 e il 13 luglio: 160 000 uomini [5] 600 carri armati [3] 4 900 velivoli [6] A fine campagna: 250 000 britannici e 228 000 statunitensi [7] Perdite 218 042 (9 003 morti, 40 655 dispersi, 46 000 feriti, 122 384 prigionieri) [1] [N 2] : Italia [1] : 4 678 morti 36 072 dispersi 32 500 feriti 116 861 prigionieri Germania [1] : 4 325 morti 4 583 dispersi 13 500 feriti 5 523 prigionieri Tra 2...