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If you're serious about managing your brand, then, you shouldn't say anything unprofessional that someone in earshot might attribute to you in a tweet (better dial down the irony, while you're at it).
Thus, if I know that your evidence strongly suggests that it will rain today, then (all else being equal) I should attribute to you the belief that it will rain today.
On the other hand, if I know that your evidence strongly suggests that it will not rain today, then I should likewise attribute to you a belief to that effect.
According to the model in question, in attributing beliefs to you, I should, all else being equal, attribute to you the belief that p just in case it would be reasonable for you to believe that p given your total evidence.
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No two people believe exactly the same thing, and that presents another opportunity for evasion: plausible denial that you believe what is being attributed to you.
Perhaps there is something worse than being talked about, and that is having words attributed to you that you never wrote.
I'm sure we've all had the situation on Twitter where you want to tweet something without it being attributed to you.
You'll also be given control over which comments stay attributed to you — if you find a comment you no longer wish to be associated with, you can delete it from your profile and it will be attributed to an anonymous user on the blog you left it on (I think this could lead to some problems, which I'll get to below).
Any and all success we have had in the UK can be attributed to you, our Guides, who provided quality answers and helped us spread the word about the service.
From rooting out your intimate and embarrassing secrets to imitating you, machine learning is making it hard to not only hide your identity but also keep ownership of it and prevent from being attributed to you words you haven't uttered and actions you haven't taken.
If you are a partner in a partnership, a member of an LLC or a shareholder of an S corporation, you also should receive a Form K-1 for each year, reporting how much gain, loss or income is being attributed to you.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com