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> This is like saying that we know code is correct (bug free) because most of the lines sort of look correct. It's not /inherently/ an untrue statement, but it
by alexjackhughes 2y ago
> This is like saying that we know code is correct (bug free) because most of the lines sort of look correct. It's not /inherently/ an untrue statement, but it doesn't match up with any sort of real world experience.
That's actually a really good analogy. I'm thinking so long as the code "builds", then it's likely that the code can execute, and at that point, the code is worth reviewing.
There's only around 600 characters/words to guess across about 700 tablets. Let's say there's about 2 sentences per tablet, so roughly around 1400 sentences to test against the guessed dictionary.
If we simply loop through, iteratively building up this dictionary, making small adjustments and happen to get to something like 80% of the sentences passing the review (i.e. not nonsense sentences, saying something with meaning, thew meaning makes sense in the context of the period etc). Then our word predictions are likely close to the original.
Like what are the chances you can choose the wrong word across lets say 200 sentences, and still maintain meaning in all of those sentences? And then multiply that guessing all the words?
- addaon 2y ago> Like what are the chances you can choose the wrong word across lets say 200 sentences, and still maintain meaning in all of those sentences? See Harry Potter with s/wand/wang/g, for example.
- alexjackhughes 2y ago> See Harry Potter with s/wand/wang/g, for example. Honestly, pretty similar meaning tbh haha I think it would be hard to do that across lots of words, especially when we know some of the words and the context. For example, they probably aren't talking about counting wangs in these agricultural audits.