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Trump Math 

Any math concept, formula, or theorem that can’t be simplistically or half-accurately be explained in a tweet, or using 280 characters, is likely to be too complex or confusing to the millions of pro-Trump blue-collar or MAGA workers and alt-right “fine patriots.”
If you can’t explain any Trump math to an oft-morally bankrupt and mathematically challenged Trumpublican, QAnonist, or statistical evangelical, you probably don’t understand it yourself.
Trump Math by Covido February 7, 2022
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Zombie Math Titles 

Out-of-print math titles whose covers, contents, or creators the present generation could still remember, because when they were students, teachers, or parents, these wallet-friendly, brain-unfriendly books had positively impacted their mathematical learning or teaching, which were unsurprisingly bestsellers of their day.
Singapore’s zombie math titles of yesteryear like Fabian Ng’s “Process Skills in Problem Solving,” Dr Y H Leong’s “Challenging Problems in Mathematics,” and K C Yan’s “Mathematical Quickies & Trickies” had not only differentiated themselves from the sea of canned drill-and-kill titles, but they have since become an integral part of the local math education culture.
Zombie Math Titles by Fasters February 5, 2022
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the difference between math and meth 

One is fun, and the other isn't. Math is not very fun...
Baby Liza Koshy: The difference between math and meth is that one is fun and the other isn't.
Liza Koshy: Yep.
Baby Liza Koshy: Math is not very fun.
Liza Koshy: Wait wut?

do the math 

To analyze a situation to a logical conclusion.
I was the last one to leave last night and the first one here this morning and my candy dish is empty only the fat security guard was here, you do the math.
do the math by dave L April 7, 2005

Chinese Math

1) Man, that math test was harder than Chinese Math
2) The minute she took off her shirt, I became harder than Chinese Math
Chinese Math by ROBINBOOZER March 8, 2004

Fan Math 

A formula for finding out what type of fan you are of a certain band. It has nothing to do with how much you love a band but what type of listener you are. Purely for fun.
It is a very simple formula, take the amount of songs you have heard by said band/artist and divide it by the amount of songs the band/artist has in their collection (using a calculator). You will most likely get a crazy decimal like 00.540182 or something. Take that number and round it to the nearest whole number. WALA, there is your listening percentage. You can now check the chart below to figure out what type of listener you are.

0-10%--Once in a while listener
(A few songs on your ipod, listen when your in the mood)

10-20%--Occasional Listener
(You probaly have most of the singles)

20-40%--Casual Listener
(You own all of the singles and a few tracks off of the third album)

40-60%--Avid Listener
(You own an album or two)

60-80%--Strong Listener
(You own a few albums, missing 1 or 2 but have tracks from the missing albums)

80-90%--Big Time Listener
(You have every album but there is an EP or two you can't seem to get your hands on)

90%-100%-Hardcore, Die-hard Fan
(You have every album, B-side, EP, LP and live recording or are dangerously close to having all of the music. Perhaps this is one of your favorite bands?)
Bob has 56% of Chaos In Captivity's* songs. He is an Avid Listener.

Mary has 10% of all the Fuzzy Hats of Death's* music. She is an Occasional Listener.

Samantha has 100% of the music by 99¢ Happiness*. She is a hardcore fan, she even has a tattoo of their logo. (A yellow happy face with a price tag attached)

*Chaos In Captivity, Fuzzy Hats Of Death and 99¢ Happiness are not real bands (at least I don't think they are). They are just band names that I came up with that I think are dope.

The "Fan Math" formula wouldn't really work with bands that have less than three albums. It just doesn't work with them
Fan Math by Music_note_93 March 17, 2008

The Cecanization of Singapore Math 

When the quality of Singapore math textbooks and supplementary titles took a beating in the last one and a half decades, because both local and foreign math editors were reporting to their oft-clueless bosses, who were recruited under the Singapore-India “Comprehensive Economic Cooperation Agreement” (CECA), many of whom with quasi-zero understanding of the Singapore educational system and the local educational publishing industry.
It’s hard to estimate the reputational and economic costs suffered by publishing houses in the aftermath of the Cecanization of Singapore Math: resignation of editors, frustration of authors, rejection of textbooks, brand dilution, and the like.