As someone who’s been dealing with a lot of low mood lately, it really brightens my day to hear someone express gratitude for my anonymous, unauthorized trail maintenance.
Text blurred for privacy reasons.
As someone who’s been dealing with a lot of low mood lately, it really brightens my day to hear someone express gratitude for my anonymous, unauthorized trail maintenance.
Text blurred for privacy reasons.
True, this would make it harder. But… On the other hand, its not a random password but text. If you know (or guess) the language you may be able to employ other tricks like “how common is each letter?”, “which combination of letters is more common in this language?” And so on. Maybe the hidden markov model mentioned in the research paper does that (which would be one thing that Markov Models do IIRC).
Right, technically even one pixel per letter could be solvable. Different letters would mostly result in a slightly different hue. And if multiple letters have the same, it could be guessed via the neighbours and statistical frequency of each letter.
We also have the context and could specifically look for words like trees, path, thank, saw first.
Isn’t this software available? People keep telling me that it could be decensored, but no one has tried it.