A whole bunch of Texans drive their fancy-schmancy trucks to a big party, ending in a line dance where they drive their trucks and dance in the beds rather than simply dance in lines.
Yeah, old Billy there really had a ball at that Texan Silverado last night... He was dancing all over the place!
by Star Cadet February 20, 2019
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A Jewish coed sleepaway camp with jappy kids but not as bad as Pontiac. everyone hookups or dies from the food. everyone loves silverlake but they are the worst at sports. they are connected to Camp Chipinaw and have a love hate relationship. CAMP SILVERLAKE FOREVER
Slake camper : I go to camp silverlake and it’s my second home. red and grey forever. #10for2
everyone else : how many pairs of golden gooses do you have ? and how many Hermès bracelets
everyone else : how many pairs of golden gooses do you have ? and how many Hermès bracelets
by baddie369 August 25, 2019
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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.
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.”
by stats_definer August 28, 2020
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