apotheotic (she/her)

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  • 43 Comments
Joined 2 years ago
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Cake day: July 11th, 2023

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  • Ugh, I accidentally deleted my previous comment when trying to edit, sorry for the double reply.

    Original reply:

    You think that the amount of land being dedicated to making food for livestock dwarfing the amount of land dedicated to feeding people is not a legitimate complaint?

    Edit: eyeballing it, we use twice as much land (and as a result, water, energy, etc used in the farming process) making food for livestock (ie, food for what will become food) as we do making food for us




  • I think if you were nicer and explained what you believe instead of having a goal of being contrarian or playing devils advocate (which, when you do so, you advocate for the devil), people would not think you are a troll. They might think other negative things about you, but probably not that you’re a troll.



  • Looks nice - though I don’t feel great about the 2n solution to apostrophes. You could just as well end up with 2n words with apostrophes, no? Its not particularly robust.

    With n=6, and only grabbing n words, you have a roughly 88.24% chance of getting at least one word with an apostrophe (ie, you can’t generate a valid passphrase) With n=6, and grabbing 2n words, you have a roughly 3.86% chance of getting at least 7 words with an apostrophe (ie, you can’t generate a valid passphrase). That’s more than 1 in 30 fail!

    If every apostrophed word has a non-apostrophe pair, as you say, then perhaps better practice would be to keep the dictionary in order and generate a (somewhat) random number as an index to grab. If it has an apostrophe, grab the next/previous word (ie, its pair).

    Might be trickier to fit into exactly 27 lines, but at least it would be robust?

    Edit: in hindsight, if the dictionary is required for this to function in the first place, you could just pre-prune it to remove apostrophe words