#solidly

[babybagual]

troncudo

[bonefarm]

Leave the World Behind was not a good movie per se but it did give us golden retriever-husband-professor Ethan Hawke and some really visually entertaining foreboding strangeness.

[basedlabs]

Based Labs — Announcement Recap

Hello BASED frens and fam! Quick summary of important announcements.

[raointean]

Today's episode makes this quote so much funnier

A presence you haven't felt since when, Vader? Since he completely and totally whooped yo' ass nine years ago? Hmmmmmmmmmmmmmmmmmmmmmmmmm?

[finnified]

SAW YER TAGS. WHAAATTTT PURPLE PINK IS SOOO PRETTY WHAT WAY MORE THAN RED PINK

Purple pink is like!!! More saturated what is this slander !!!!! (/lh)

exactly why i dislike it purple pink is so. it’s magenta’s annoying younger sibling and i already hate magenta so. just. no. get that shit out of here and give me some Real pink instead (/lh)

[thishazeleyeddemon]

*thinks about my sexuality again*

[trumptweettrack]

Wed Nov 04, 2020 10:04:04 AM EST

Last night I was leading, often solidly, in many key States, in almost all instances Democrat run & controlled. Then, one by one, they started to magically disappear as surprise ballot dumps were counted. VERY STRANGE, and the “pollsters” got it completely & historically wrong!

-President Donald J. Trump

Our Analysis

There is a 63% chance that Donald Trump wrote this tweet himself.

This is tweet number 1979 mentioning the Democrats from @realdonaldtrump -- 1818 since inauguration.

Word probabilities: 37/62 (Trump/Staff) Time probabilities: 26/73 (Trump/Staff) Metadata probabilities: 94/5 (Trump/Staff) Posted at: Wed Nov 4 10:04:04 2020 EST [Link] Tweet Source: Twitter for iPhone

The most informative terms in this tweet were: last (Trump, 1.8:1), night (Trump, 2.8:1), leading (Trump, 1.8:1), many (Trump, 8.4:1), states (Trump, 2.0:1), almost (Trump, 3.3:1), run (Trump, 3.0:1), & (Other, 2.3:1), one (Trump, 2.3:1), started (Trump, 1.4:1), got (Trump, 3.8:1), completely (Trump, 2.3:1), wrong (Trump, 10.4:1), ! (Trump, 1.3:1)

A computer sees the following emotions in this tweet (NRC): {'trust': 2, 'fear': 2, 'joy': 1, 'positive': 3, 'surprise': 1, 'anticipation': 1, 'negative': 1}

Grade level of this tweet (Flesch-Kincaid): 8.9

[darkmuffinplaidalmond-blog]