Mohabbat aur Math

Originally posted by: aksh4IF

hey mohabbatians, here is the newest product of kmh-fever pvt. ltd. 🤣

(thanks for posting it Aksh, I enjoyed reading it😉)

before you start reading.. i would like to warn one and all.. this blog was written by a half-awake person who was droven to bits by all the studying in the dead of the night and was suffering from kmh-fever.. 😆😆😆 Mohabbat aur Maths ke jalwa😆😆

and that this has nothing to do with math 🤓 and everything to do with mohabbat❤️.. and if anybody is hoping to learn any math out of it.. i promise, this won't help..

😆😆😆 Aksh, we will send this formula to Ekta Mai bhi😆😆😆 and yeah if not help,no worries, at least we tried it😆😆😆😆😆

so.. this sem i am taking a course on regression analysis.. and my prof started off with reviewing topics in probability and statistics (can understand the power of craziness with the mention of this topic,had been in it as well😆😆😆 Mohabbat ka probability density aur distribution will be something to look in😆 aur yeah statistics in the way have the hypothesis testing on whether we should accept or reject null hpothesis😆😆)which were a prereq for the course.. and as usual we had an assignment to finish for the wkend.. now u ask me why is that a topic on my blog.. so it so happens that i have two main obsessions going on in my mind rite now.. one is probability distributions.. (because i have a whole chart of them staring at me from the wall in front of me)🥱 and there is my daily soap - kitni mohabbat hai..😃 so when these two clashed in my mind(😆 seems it is has been more dangerous than a YuGi'Oh match). . i needed a vent and so here i am..(I am here for you aksh,anytime,just call my name loudly 😆😆 but without waking up auntyji aur uncleji😆😆)

i have read ppl trying to explain love inside the laws of physics 😲(bechare Newton, kya soch ke likha tha.. aur kya ho gaya🤣).. so herez my mathematical mohabbat ke types:😕 (Newton Junior in mathematical way🤣)

to start out.. the simplest type is defined by a bernoulli distribution.. 😊 coz either its a yes or its a no.. and we are done.. 👏no grey shades.. no ifs and no maybes.. very straight 'N' forward..🤣 (Bilkul applicable to our Arohi aur Arjun: Either Y for Love or N means hatred😆 they seem blind on the rainbow of emotions😆)

then comes binomial.. this one is for the annoying, chattar-pattar couples.. who have the incessant need to choose in every topic and issue.. so they have a yes or no for everything 😲and so binomial - since its the distribution thats a series of bernoulli distributions.🤣

(Oie binomial - full too forecast on th future with probability associated to the branch, so like Biji dadi who has already seen the future of Arjuhi and now is working on how to make the engine starts without brakes😆😆)

then there is always the geometric distribution. i would nickname this one as ekta's fav trak 🥱- Balaji Television's favorite.. because its discrete (is always discontinuous) and by nature is also memory-less..🤣

🤣🤣🤣 ''Luckily KMH has not gone totally to it'' 🤣🤣🤣🤣 ''or rather Arjuhi track as GAuveer track it applies on 100 percent🤣🤣🤣

and how can i forget Poisson... its my fav in distributions coz, the mean and variance are always lambda (greek alphabet) 👍🏼 aur toh aur Poisson relationships bhi kuch aise hi hote hain.. lifelong pyar ke mean aur variance mein koi change nahi...👏bohot changa haiga..!!😉😆

(oie oie hanji maximise the returns will deeper curve and minimise the risk, yeh to market efficiency theory bangaye😆😆)

negative binomial... it is something about the nth success on the kth trial.. now that sounds so much like an ekta story no?😆isse zyada negative story koi ho sakti hai bhala??😲🤣

🤣🤣🤣🤣 Absolutely, yehi hein Ekta Maiya ki Adalat 🤣🤣🤣🤣🤣

yeh toh ho gaye saare discrete distributions..🤓 unki khaas baat yeh hai ki in mein full-on nok-jhok chalu rehta hai..😉 so they can be entertaining..⭐️ almost saare ke saare TV soaps mein use ho chuke hain.. aur title hona chahiye tha.."kyunki pyar discrete hain.." 🤣ab is sentence ke kitne matlab nikalte hain.. 😉maine jaanna bhi nahi..😛

Hayii sab kuch tumne iss sentence mein batayi

coming to the continuous ones.. yahan pe options kam hain.. kyunki bahut kam stories continuous hote hain..🤣

🤣🤣 This bimari has seemed affected the KMH2,hope it will cure🤣🤣

i like exponential most, especially compared to geometric, 😃 coz thats the fairy tale version - its continuous and no matter what atleast the relationship grows exponentially.. ❤️❤️❤️ and since that one is also memory-less it is useful in a positive way.. and helps the lovers forgive, forget 🤣 and move on thereby helping their relation grow..❤️❤️❤️

All of KJo's movies and most of SRK's end up in this category..🤣🤣 they ofcourse don't always start here 😉

👍🏼👍🏼👍🏼👍🏼 like it👍🏼👍🏼👍🏼👍🏼

normal distributions. not much to say there.. i think would be the old-world arranged marriage concept.. u can always normalize any arranged relationship and it has a regular bell-curve...🤪

now i haven't mentioned hypergeometric, lognormal, pareto, weibull and beta.. because these are the completely unromantic and messy type relationships.. why? 🤪 coz they are the ones that dont have 'moment' generating functions.. 🤣🤣🤣 .so no future for 'em..😉and no uniform functions, coz there ain't a love story in this world thats uniform!!😆🤪

'' great ones, like reading em😉''

lastly some food for thought.. what's common between statistical distributions and marriages?? both carry responsibility with them.. distributions have the responsibility of being the basis for analysis and decision making.. and lives depend on the strength of a marriage... ☢️

🤣🤣🤣🤣 '

nice post Aksh

oh gosh my stomach hurts!!!! can't stop 🤣🤣🤣🤣🤣