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As far as I can tell, the upshot after scoring a million tweets is that the only one with all 26 letters was just

"?????????????????????the quick brown fox jumps over the lazy dog??????????????????"

This is considerably less interesting than I hoped it would be. (And a little surprising! That's a lot of data.)

Yeah that tweet was a let down. I guess the best resolution is that pangrams (or things with many unique letters) are hard to come by?
At first I thaught "Searching Twitter for a better pangram" was the pangram.

I'm stupid.

"Searching Twitterdjklquvxyz for a better pangram" works!
Isn't it a bit silly to throw away every single @<user> tweet? Imagine I'm having a twitter conversation with my friends about who can make the best pangram and this data is ignored just because we're tweeting @ each other?

I'm guessing that the majority of tweets will reference a person. How about just stripping that @word from the tweet?

Interesting. The issue I was getting was that it would like tweets that were "@MyFriendWhoHasAUserNameLikeZXCVBNMQWERTYU hey". Should I just strip it of the word "@____"?
That would absolutely be the way I'd suggest going about it.
Okay. Iteration is key! I'll update her maybe tonight. Thanks
I'd try stripping such words (and URLs) when they appear at the start or end of the tweet. If in the middle, removing seems likely to mess with the meaning.
Amazingly few discotheques provide jukeboxes.