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March 4, 2019 01:15
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start mutt without having to see bad messages
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<limit> | |
!( | |
~s token || | |
~s reward || | |
~s data || | |
~s feedback || | |
~s news || | |
~s free || | |
~s crunchbase || | |
~s "!!" || | |
~s integrate || | |
~s save || | |
~s alert || | |
~s free || | |
~s marketing || | |
~s daily || | |
~s views || | |
~s soon || | |
~s trial || | |
~s best || | |
~s soon || | |
~s rapid | |
) | |
<enter> |
Alternately T ~s free
and then D
will delete any of these patterns from the mbox
.
PS I’m aware that Bayesian methods can generate signals like this. The point is to see the filter typed out, whether you generated it mathematically or personally.
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Starting mutt with
mutt -e 'push "<limit> !(~s free || ~s "!" || ~s news || ~s alert ) <enter>" '
will startmutt
without annoying messages.I thus define a bash function
Mutt() { mutt -e 'push "<limit> !( ~s free || ~s "!" || ~s "deep learning" || ~s marketing || ~s daily || ~s data ) " ' ; }
in~/.bashrc
(and~/.zshrc
)and then start reading mail with
Mutt
instead ofmutt
.What are some other good filter words?