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00:28You
00:31You
01:0430 feet drop
01:07To
01:08Approx 50 kilos
01:10Impact speed
01:1213.4 meters per second
01:14Impact force
01:162200 newtons
01:18Nahi marega
01:19Back off
01:21Max 2-3 ribs tooting if you're lucky
01:24Leg fracture, hospital, surgery
01:26Wheelchair
01:27Just back off dude!
01:30Okay, okay
01:36Sutta
01:37What have you done with a cigarette?
01:41In the hospital, smoking is not allowed
01:47Look, you look like a cigarette
01:54You look like a cigarette
01:55I mean, you can't get an exam
01:59Groom nails
02:00Groom nails
02:01Hoodie or shoes
02:01Fancy perfume
02:04Cool watch
02:05Hush!
02:05IG reals are true
02:07Piaar mein sab apne best version bani zate hai
02:10Break up
02:11In the hospital
02:25I
02:27I
02:27I
02:27I
02:27I
02:28I
02:29I
02:31I
02:35She suddenly says she doesn't love me.
02:41It's not a semantics, bro.
02:49She wants to say that you both are incompatible.
02:51Semantics, bro. I love her.
02:54I can't live without her.
02:57And she cannot live with you.
03:00What is PR?
03:02PR is basically best case compatibility.
03:05Fuck that shit, dude. I don't care.
03:09She's the one.
03:12She's the one of many probabilities.
03:16What?
03:19Probability is a numerical value.
03:21Hey, don't go to maths.
03:22Second year maths won't go.
03:25No way.
03:27What are they all for?
03:30Sorry, sorry, sorry.
03:32You okay?
03:34I'm Agastya.
03:35So you're Agastya.
03:36I've heard everyone about it, but I've never seen it in class.
03:41I have an attendance anxiety.
03:44If I get more, I get more anxious.
03:47Anyway, will you play a game?
03:51Are they going to party?
03:53Not really.
03:55But...
03:55After 5 minutes, I'm going to play a game.
03:58So...
03:58After the game, I'm going to play.
04:01So...
04:02North Campus student population will be 1,60,000.
04:06And national average for women in colleges is 47%.
04:10So take out the boys.
04:11Ab bache 75,200 girls.
04:15Trust me.
04:16I know my maths.
04:29Now, if you think that 60% are taken, I mean, 40% single is of course.
04:34So 40% off 75,200, that's 30,080.
04:45Assuming 50% nerd is single by choice, lesbian, or simply, they have 5-6 women's interest.
04:525-6 and a half.
04:545-6 and a half women's interest.
04:58That's 15,040.
05:06Ab maan le, tu bhi choozi hai.
05:08Kyunki, why not?
05:10Or in eligible options mein se, 60% tu rejet kare ga.
05:12Which is 60% off 15,040.
05:15Bache 6,016.
05:196,016 matches for you at North Campus, bro.
05:23Ab inme se, maan le, 5% apne hi campus mein.
05:27That's 301 girls.
05:31301 possibilities for the perfect girlfriend, dude.
05:39I mean,
05:43a girlfriend tu mili jai hai.
05:44Dude, compatibility probability is 0.5.
05:47Ab inme se, one match probability is 99.999999.
05:54Ab agar uske baad bhi tu girlfriend nahi bana paaya, toh.
05:59To me, kutu je yas dakka dedunga.
08:04Oh, idiot.
08:06Excuses, excuses.
08:08You should be punctual, especially at this age.
08:12And you shouldn't always be on time, especially at this age.
08:15Hungry?
08:17Oh, famished.
08:18Me too.
08:19Excuse me?
08:23Yes, sir?
08:24I'll have a portion of smoked tomatoes and mascarpone risotto.
08:29And mom ke liye peri peri pasta.
08:32And I add some chicken to it.
08:33Hey.
08:33Okay, sir.
08:34I think I raised you better.
08:35Man choose lo ga ra ra mera order.
08:37Oh, my bad.
08:38Kaya log ya?
08:39Hmm.
08:41I'll have the panseared fish.
08:46No, no, risotto.
08:48No, it'll be heavy.
08:49Shall I come back later, ma'am?
08:51That would be wise.
08:52No, no, wait.
08:52I've got it.
08:53I will have...
08:55I'll have the eggplant parmigiano.
08:59Hmm.
08:59Anything to drink?
09:00Drink?
09:01Uh, aash theri bari ya, na, drive bari karni ki.
09:04Let me check.
09:05Hmm?
09:06Tumhaari.
09:07Meri?
09:07But it's fine.
09:08I'll drive.
09:09Gen and tonic.
09:10Small.
09:11Thank you, ma'am.
09:13Oh, toh tu kya bulhada, woh mats bro ke bare mein?
09:16I was obviously listening.
09:17Oh, were you?
09:18Hmm.
09:19Kuch nahi, wahhi cliched heartbreak ki khani.
09:22Or tunneh wahhi cliched agastha gyan de ker ushe manaliya ho.
09:25I've just seen the right path.
09:27Using maths, of course.
09:29Yeah, of course.
09:33All these years, and I still don't get it.
09:36Why do we celebrate our dad's anniversary?
09:39I don't need to make a joke of badai.
09:42I don't need to make a joke of badai.
09:43I don't need to make a joke of badai.
09:44I don't need to make a joke of badai.
09:45I don't need to make a joke of badai.
09:45That's why.
09:46In the Hindi film reference,
09:48you can't explain anything, right?
09:50Life na, Hollywood movies ki tarahan genre specific nahi uti.
09:54You see, it's like a heady cocktail.
09:56Jis mein action, drama, comedy, tragedy, sab kuch hota hai.
10:02So essentially, life is like a Hindi film.
10:09Mom?
10:10Hmm?
10:15That's my food.
10:17I'm not eating this penguin.
10:20Hmm.
10:28Hmm.
10:28Hmm.
10:29Hmm.
10:30That's right.
10:31Who is a Gen Z-word to avoid that.
10:34Oh.
10:36I've never taught you how to drive the car.
10:37Okay?
10:38Don't act too cool with me.
10:40Simp means when someone tries too hard in a relationship.
10:43You could have said,
10:44Kaafi sick.
10:45I mean amazing.
10:46Sick.
10:48Oh.
10:51Is that from the big man, Mr. Shoff?
10:55Bingo.
10:56How's it going?
10:59It's good.
11:02Wow, that's something new.
11:04When are you getting there?
11:06I mean, I'm not going to get a plan.
11:08No, what's the plan?
11:11First, let me be sure, sure.
11:13And how much you need to be sure, sure?
11:15I'll be leaving in a few months, remember?
11:22For now, yes, but eventually, I'll be moving abroad for my further studies.
11:28I'm very responsible for my time.
11:30I'll do your wedding.
11:32Oh, I can take care of myself, okay?
11:38I can't stay alone.
11:39Jinx.
11:40Jinx.
11:45Five seconds?
11:46It's an achievement, yeah.
11:47Yeah, Vennie, very nice, very nice.
11:49What's that after?
11:51After that, I realized that...
11:53Actually, in the sixth second, I realized that...
11:56I don't do anything, I don't chase you.
12:02Of course.
12:08You know, Vennieta, I really like this, yeah.
12:13I don't do anything.
12:15Really do.
12:18Me too.
12:20Actually, I feel that all about you is very easy to love.
12:26I don't get the understanding of a relationship before I was able to get.
12:30Wow.
12:32Now, I'll take that as a compliment.
12:34You should.
12:41So, have you given a thought to what's next?
12:50Dessert?
12:54I was talking about us.
12:56Here you go, sir.
12:57Oh, okay.
12:58A little too soon, but thank you very much.
13:00Well, you asked for dessert.
13:02But what's the occasion?
13:03Take a wild guess.
13:05I don't know.
13:07What is it?
13:08A hundred days.
13:10A hundred days.
13:14Who would have thought?
13:17But here we are.
13:20You're so romantic.
13:22Speaking of which,
13:25there is another surprise.
13:26There is another surprise.
13:29Look, I've been very proud of you.
13:34I've written a song for us.
13:37And I'll listen to that.
13:44We completed a hundred days.
13:49I am glad in so many ways.
13:53It started when we swiped right.
13:57Right.
14:00Now our lives are happy and bright.
14:10Dating apps are a lot.
14:11So, why are the hard set so successful?
14:14My hard work, dedication, foresight.
14:18Like a small complex algorithm.
14:21What's the scene of this mask, bro?
14:22And I spent a lot of time on the telephone.
14:24Okay.
14:25I'm no modern age Cupid.
14:28Despite what Summit Review says.
14:30I bet he gets off to that magazine every morning.
14:35One day...
14:35...the next drop of streetwear t-shirts.
14:37We made a total of this situation.
14:40Right under it.
14:42Self love.
14:43How much is too much?
14:49What are you seeing as a thought level?
14:55We make a difference.
14:58Why are we breaking up?
14:59with you guys let's just pretend this was when like you i was a student but not here at stanford
15:07on a full scholarship resume university getting average 20 weeks we did far better went well over
15:16p50 50 50th percentide the median the two or mine did better than half the college
15:27not bad i just want key anyone and everyone can find their special someone thank you everyone
15:43and uh please call me jb jb
15:50baby baby you can ask jb
15:55sir sir sir yes chetna how does it feel to be a billionaire
16:03well as much time you have asked this question
16:06with me time-made heart set for that i need to get me on matches over that's a real wealth
16:13Wow.
16:16Yes, Agastir.
16:22It's a fact,
16:23hard set results in the highest number of first dates,
16:25no cap,
16:26but it has an 80% failure rate.
16:28Rarely, first dates,
16:29second dates may convert to you.
16:31In fact,
16:32if I go to Maggie Point,
16:34and take a bouquet and take a cap,
16:35you'll get the perfect match.
16:36There are so many chances that you have to get a cap.
16:39Well,
16:40that depends on your bouquet,
16:43and the standards of the ladies here.
16:48I think your mathematical algorithm
16:50is not in the assumptions,
16:51but it's not in the logic.
16:52But anyway,
16:54there's a discussion on the math chat forums
16:55that your algorithm doesn't have to be made.
16:58Alright,
16:59I think that's enough.
17:00Just one question per student, please.
17:01Let's move on.
17:02Anyone else?
17:09I thought I was late,
17:11but he's never on time.
17:14Yeah,
17:15but I told you.
17:18He doesn't matter.
17:19What are you seeing?
17:22I don't know.
17:25Listen to me.
17:26This college student
17:27has given us a compulsory 10 a.m. lecture.
17:29I'm not coming.
17:30Go.
17:30Hey,
17:30Kirst,
17:32there's a new professor coming.
17:33Some doctor.
17:36there's a Harvard visiting faculty.
17:38Harvard?
17:39Crazy, right?
17:40See,
17:40Simon's Foundation grant winner.
17:43I mean,
17:43he's a genius.
17:44I don't understand.
17:45He's a professor's match.
17:46He's a professor's match.
17:48He's a professor's match.
17:50He's a professor's match.
17:50I mean,
17:51there's no work in personal life.
17:54That's okay.
17:55Hey,
17:56there's no work in my personal life.
17:57There's no work in my personal life.
17:58On the basis,
17:59people can predict their patterns,
18:01their decisions.
18:03Okay.
18:05Okay,
18:05then you have to prove your hypothesis, right?
18:08Yes, sir.
18:10See that pretty lady with the books?
18:13That's right.
18:16Pretty.
18:17that's right.
18:17I don't want to focus on.
18:19You predict
18:20which book will be next?
18:21On the basis of maths.
18:23That's pushing it, huh?
18:25I can tell you
18:26which book will be next?
18:28Which section will be next?
18:29Done?
18:48So much to choose from, besides, I don't know, I don't read those books, you know that.
19:07Hi.
19:12What happened?
19:14What happened?
19:15What happened?
19:15What happened?
19:18Give me a pen.
19:19What happened?
19:20I wanted to do a little data analysis.
19:23The second book was Infinity.
19:34Give me a rough sheet.
19:37Rough tissue for...
19:38It's easy to do.
19:40It's easy to do.
19:45It's easy to do.
19:57It's easy to do.
20:01Yeah?
20:04She'll pick the next book from the historical fiction section.
20:11Excuse me.
20:13If you're looking for a book, you'll get that section.
20:18History.
20:19Maybe if you can give me some details, I can help you find the precise book.
20:25Oh.
20:26Thank you so much.
20:28You're most welcome.
20:30The universe has a funny bone.
20:32Thanks.
20:35No, no, no.
20:35This is the wrong book.
20:36You'll get your book in this section.
20:39History.
20:39Historical fiction.
20:42Sorry.
20:45I mean, this is the wrong book.
20:49It says who?
20:51It says maths.
20:52It says math.
20:54Maths means numbers, algebra, geometry, you know?
20:58Uh-huh.
20:59Yeah.
21:01Maths can help me to find the book.
21:03But which book I'll read?
21:05I don't know.
21:06Thank you, boys.
21:08Uh, I'm kidding you.
21:09That's the wrong book.
21:12Hey.
21:14That's why I'm telling you.
21:15You always find the mind of maths.
21:18Okay.
21:19Maths.
21:21These genius people are stupid, right?
21:23It doesn't matter in maths and real life.
21:26If you get it, you'll get it.
21:27When?
21:33In due time.
21:34You know, you've been saying that a lot, right?
21:37When the time is right, you will meet him.
21:41And when will the time be right, Vinny?
21:44I mean, you've been in my whole world.
21:46With my friends, with my parents.
21:49That's different, right?
21:51How?
21:53How is that different?
21:54When?
21:59Because...
22:00Gus and I, we only have each other.
22:04And I want to be sure that he's ready to meet you.
22:08So you're saying that your relationship with your son is more important than my relationship with my parents?
22:15No.
22:17No.
22:17Shroff, I never meant that.
22:24You know what, Vin?
22:27I feel that your relationship with your mother only child is more romanticized.
22:34What?
22:35Make no mistake, I've dated a lot of single mothers.
22:38And they never had a problem introducing me to their kids.
22:41But you've kept your relationship on a pedestal.
22:46Untouchable, also sacred.
22:49Shof, what are you saying?
22:51I don't think that Gus is a genius kid.
22:54I mean, he's just a regular kid, which is not a problem, by the way.
22:57But you've made a genius in your mind.
23:01Think about it.
23:02Hi.
23:03Yes, sir.
23:03Table for two, please.
23:04Sure, sir.
23:05I'm enjoying it.
23:15Why don't you have fun?
23:18I'm enjoying it.
23:24I'm losing it.
23:26Let's see.
23:27What is the%nake?
23:34I don't want to talk about it.
23:51Happy?
24:15I don't want to talk about it, Mum.
24:17Just give it some more time.
24:20How much time?
24:22I've been going on dates after dates for years.
24:27Years.
24:28Years.
24:30You started going on dates after I turned 18.
24:33It's less than two years.
24:38I love you.
24:39I know that eventually you will get your prince charming.
24:45Prince, popper, anything.
24:48Seriously.
24:49Seriously?
24:50God.
24:51Two drinks and you're already gone.
24:54Gone?
24:55What do you mean gone?
24:56I'm not...
24:57I'm fine.
25:01I'm not hungry.
25:02I'm not hungry.
25:03I'm not hungry.
25:04I'm not hungry.
25:04It's the most important meal in the night.
25:06You say breakfast for breakfast.
25:08It's the most important meal in the night.
25:10Yes, breakfast is also very important.
25:12What?
25:13Lunch, beef.
25:14I'll put it in.
25:15No, I'll take it off.
25:16No, I'll take it off.
25:17I'll take it off.
25:17I'll take it off.
25:18Time to go to bed.
25:19Yeah, I'll take it off.
25:24Yeah, I'll take it off.
25:25Yeah, I'll take it off.
25:26Good night.
25:27Good night.
25:27Good night.
25:32So, where does it win?
25:33Oh, let's go.
25:50Go to bed and go.
25:52Okay, go...
25:56Go.
26:58Oh, she dropped a text, she is free today.
27:02I need a new business model.
27:04Oh.
27:05So, I'll come back later.
27:08No, no, no.
27:09She'll be here in like, what?
27:1110, 15 minutes.
27:12Yeah, she just messaged.
27:15You can wait.
27:16College will be going to school.
27:17I'll be ready in a bit.
27:20Sure.
27:21Yeah, yeah.
27:22Have a seat, have a seat.
27:23Sit.
27:43No, I'm still working on them.
27:51Do you see it?
27:53Yes. How do I get my opinion?
27:56You're not Delulu.
27:58Delulu is the only Solulu.
28:01Shut up.
28:05Look at this.
28:08Wow. Nice.
28:11That's really funny.
28:13Oh, lovely.
28:13Nice.
28:14Really nice.
28:15I really like it.
28:16That's you.
28:17Wait, let me see it.
28:19That's you.
28:21Only with a cuter's mic.
28:23Huh?
28:23Yeah.
28:24Okay, I see.
28:26Look at this.
28:27Oh, so cool.
28:28I love what you did with the colors here.
28:30I'm thinking of getting this printed.
28:31This is nice.
28:32I don't like this color.
28:33No, it's nice.
28:34No, there's something not good about it.
28:36It's cute.
28:41What are you doing?
28:43What are you doing?
28:47This name?
28:50Really?
28:58I should've been doing this.
29:01She should've been doing that.
29:02She's a little bit.
29:06Hey!
29:07What?
29:08I'm doing a little bit.
29:10Oh no.
29:15It's not a club.
29:16It's not a club.
29:17It's a club.
29:18It's a club.
29:21It's a club.
29:23It's an club.
29:25It's a club.
29:27It's a club.
29:29It's a club.
29:31So good.
29:51Shit.
30:05Gupta Ji! Where are you from?
30:09The 29th Sector...
30:13It's a sightseeing today.
30:17And it's a showing of DLF.
30:19It's a sightseeing today.
30:20If you don't come, then...
30:24Yes, yes, I'm talking...
30:29Hello, hello, I'll call you later.
30:31Bye, bye.
30:34Hi, Vinny.
30:36Hi, I came to see you.
30:38Oh, what a surprise, Annie.
30:40Yeah.
30:43I love your pants.
30:45And...
30:46I love your T-shirt. Top.
30:48Thanks.
30:51I love your drip.
30:53Drip?
30:54Drip, whoa.
30:54No, girl, it's called Drip.
30:57Don't sweat.
30:58Oh, where do I sweat?
30:59You're saying that you're sweating.
31:07My bag.
31:07Yeah.
31:15Oh, cool.
31:15I'd also bounce.
31:16Today I'm a new math professor.
31:18Apparently, he's super intelligent.
31:20Harvard and all.
31:20When did you say that?
31:22You need to size up one genius and the other genius.
31:24Like, how dumb are you in your mind?
31:27Oh, okay, okay.
31:28I don't care.
31:29Anything.
31:40I'll see you.
31:42I'll see you.
31:42I need your feedback.
31:43I'm coming and meeting you soon.
31:45Bye.
31:46Call and come.
31:47Bye.
31:48Bye.
31:49Bye.
31:49Bye.
31:51Bye.
31:53Bye.
31:54Bye.
31:55Bye.
32:07Bye.
32:24Huh?
32:24Dr. Ira Rena.
32:32Marshmallow?
32:33Sure.
32:35You're most welcome.
32:38Ah.
32:39Does everybody know what a marshmallow is?
32:42Yes.
32:48Stanford University, 1970, Dr. Walter Michele
32:53has done an experiment.
32:55He has put a child with a marshmallow in one room.
33:00He has put a child with a marshmallow in one room.
33:02In front of the child, there was only one rule.
33:03In every 15 minutes, if he didn't eat that marshmallow,
33:07then the marshmallow will double.
33:09One's two, two's four, so on and so forth.
33:14And if he ate it, then the experiment will be finished.
33:22And in follow-up studies, researchers found that the children
33:26had better life outcomes, better jobs, more money, better education.
33:39And the results?
33:41They are the same.
33:43If I tell you that on the basis of patients' study, I can predict your life outcomes, then
33:50you'll call me a hoax.
34:02And to be able to see these models predict human behavior feels like being able to take a peek into
34:09the future.
34:10If you have the right data, then you can see everything in the pattern.
34:16Like the weather, the lottery, the elections.
34:20In general, you can predict and even manipulate human behavior using mathematical models.
34:26In my course, Mathematical Models in Behavioral Psychology, we will learn how to model human behavior using advanced math tools
34:35like neural network.
35:04What are you doing? Why are you doing so beautiful? Why are you doing so beautiful?
35:06Why?
35:10I'm going to do it.
35:12What?
35:15My algorithm will give you the perfect part.
35:36I'm going to do it.
35:38I'm going to do it.
35:40The worst part of my friends have done a stress.
35:43It took me as a bad luck.
35:49I'm going to do it.
35:51I'm going to do it.
35:57I'm going to do it.
36:04I'm going to go!
36:05It's next.
36:06Chandra niya ho ghumvizay
36:08Mein huon teere liye
36:20Jab kabhi ye dil hai hara
36:24Naam teera hi isnei pokara
36:29Zindgee joh ho samandar
36:32Meri tu samandar
36:34Toh hai ki nara
36:36Maa ka sam jaisi tu muskura hai
36:40Dil mera bhi sang gungunai
36:50Befikar ho tu zaira jhom jana
36:53Mai huu tere niye
36:58DiL ko hooga kya zaira bho ne jana
37:01I am yours, I am mine
37:06I am my heart, I am my heart
37:09You are mine
37:12I am my heart, I am my heart
37:17You are mine
37:48I am my heart
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