take a thirty

Take a thirty is a term used by others in Tennessee which means they’re going to take a shit 💩💩💩

Person 1: Aye, I’m gonna go take a thirty I’ll be back.
Person 2: Alright.

thirty-seventh base

Canoodling over discord call while playing genshin

Cleveland: “Mom I hit Thirty-Seventh Base!”
His mother: “You haven’t showered in a month, please we’re concerned”

queer thirty

Any time a guy imbibes a chick drink.

It's queer thirty, can I get an Appletini.

[last name]thirty

last namethirty is a time when any particular individual shows up to work. Might be 9am. Might be 9:30am. Depends on a number of factors and the individual (i.e. border, traffic, weather, illness, bad burrito, etc.).

Employee 1: Where's last name at? What time is he coming in?
Employee 2: I don't know.. maybe last namethirty? He texted last night and mentioned something about having some bad Mexican food at this new place... might be a bad burrito slowing him down...

dick thirty

the act of putting your dick around your wrist as if it was a watch.

dude: "hey what time is it?"

guy: (pulls a dick thirty) "its dick thirty!!"

thirtying

The process of becoming more and more amused by domestic activities and objects as you near and/or after turning thirty.

That’s how I feel about my transition from an in home alcohol bar to juice/espresso bar...I’m thirtying REAL HARD!

nate-silver-thirty

(noun)

parameters and/or random noise added to a predictive model to enable the model to appear to include a wider variety of outcomes than the fundamental mechanism of the model actually includes

(verb)
to add spurious adjustable parameters and/or random noise to a predictive model to enable the model to appear to include a wider variety of outcomes than the fundamental mechanism of the model actually includes
to artificially inflate your estimate of a very unlikely event occurring to ~30% with no justification within your model, simply so you can cover your ass should the unlikely event occur, all while retaining the option to claim that you predicted, with better than 2/3rd probability, that the unlikely event would not occur.

“After realizing her model to predict economic growth didn’t include enough details, and was therefore predicting too narrow a range of possible outcomes, she nate-silver-thirty (ed) her model to get a more satisfactory appearing distribution of outcomes.”