0:00:00.507,0:00:05.176 Today I want to talk to you[br]about the mathematics of love. 0:00:05.200,0:00:06.829 Now, I think that we can all agree 0:00:06.853,0:00:10.162 that mathematicians[br]are famously excellent at finding love. 0:00:10.479,0:00:11.882 (Laughter) 0:00:11.906,0:00:14.873 But it's not just because[br]of our dashing personalities, 0:00:14.897,0:00:19.520 superior conversational skills[br]and excellent pencil cases. 0:00:20.083,0:00:23.826 It's also because we've actually done[br]an awful lot of work into the maths 0:00:23.850,0:00:26.326 of how to find the perfect partner. 0:00:26.350,0:00:30.029 Now, in my favorite paper[br]on the subject, which is entitled, 0:00:30.053,0:00:31.916 "Why I Don't Have a Girlfriend" -- 0:00:31.940,0:00:33.347 (Laughter) 0:00:33.371,0:00:36.989 Peter Backus tries to rate[br]his chances of finding love. 0:00:37.013,0:00:39.242 Now, Peter's not a very greedy man. 0:00:39.266,0:00:41.518 Of all of the available women in the UK, 0:00:41.542,0:00:45.037 all Peter's looking for[br]is somebody who lives near him, 0:00:45.061,0:00:46.867 somebody in the right age range, 0:00:46.891,0:00:49.813 somebody with a university degree, 0:00:49.837,0:00:51.819 somebody he's likely to get on well with, 0:00:51.843,0:00:53.786 somebody who's likely to be attractive, 0:00:53.810,0:00:56.116 somebody who's likely[br]to find him attractive. 0:00:56.140,0:00:59.194 (Laughter) 0:00:59.218,0:01:04.008 And comes up with an estimate[br]of 26 women in the whole of the UK. 0:01:04.032,0:01:05.211 (Laughter) 0:01:05.235,0:01:07.268 It's not looking very good, is it Peter? 0:01:07.292,0:01:09.246 Now, just to put that into perspective, 0:01:09.270,0:01:12.550 that's about 400 times fewer[br]than the best estimates 0:01:12.574,0:01:16.275 of how many intelligent[br]extraterrestrial life forms there are. 0:01:16.299,0:01:21.593 And it also gives Peter[br]a 1 in 285,000 chance 0:01:21.617,0:01:23.878 of bumping into any one[br]of these special ladies 0:01:23.902,0:01:25.441 on a given night out. 0:01:25.465,0:01:27.467 I'd like to think[br]that's why mathematicians 0:01:27.491,0:01:29.949 don't really bother[br]going on nights out anymore. 0:01:31.109,0:01:33.365 The thing is that I personally[br]don't subscribe 0:01:33.389,0:01:35.045 to such a pessimistic view. 0:01:35.069,0:01:37.658 Because I know,[br]just as well as all of you do, 0:01:37.682,0:01:40.054 that love doesn't really work like that. 0:01:40.078,0:01:44.928 Human emotion isn't neatly ordered[br]and rational and easily predictable. 0:01:45.396,0:01:47.617 But I also know that that doesn't mean 0:01:47.641,0:01:50.921 that mathematics hasn't got something[br]that it can offer us, 0:01:50.945,0:01:54.691 because, love, as with most of life,[br]is full of patterns 0:01:54.715,0:01:59.141 and mathematics is, ultimately,[br]all about the study of patterns. 0:01:59.165,0:02:03.509 Patterns from predicting the weather[br]to the fluctuations in the stock market, 0:02:03.533,0:02:06.564 to the movement of the planets[br]or the growth of cities. 0:02:06.588,0:02:08.878 And if we're being honest,[br]none of those things 0:02:08.902,0:02:12.064 are exactly neatly ordered[br]and easily predictable, either. 0:02:12.966,0:02:18.144 Because I believe that mathematics[br]is so powerful that it has the potential 0:02:18.168,0:02:21.489 to offer us a new way of looking[br]at almost anything. 0:02:21.513,0:02:24.333 Even something as mysterious as love. 0:02:24.979,0:02:26.651 And so, to try to persuade you 0:02:26.675,0:02:31.368 of how totally amazing, excellent[br]and relevant mathematics is, 0:02:31.392,0:02:38.075 I want to give you my top three[br]mathematically verifiable tips for love. 0:02:38.651,0:02:40.416 (Laughter) 0:02:40.440,0:02:42.080 OK, so Top Tip #1: 0:02:42.104,0:02:44.221 How to win at online dating. 0:02:46.567,0:02:49.938 So my favorite online dating[br]website is OkCupid, 0:02:49.962,0:02:53.550 not least because it was started[br]by a group of mathematicians. 0:02:53.574,0:02:55.319 Now, because they're mathematicians, 0:02:55.343,0:02:56.820 they have been collecting data 0:02:56.844,0:03:00.340 on everybody who uses their site[br]for almost a decade. 0:03:00.364,0:03:02.514 And they've been trying[br]to search for patterns 0:03:02.538,0:03:04.401 in the way that we talk about ourselves 0:03:04.425,0:03:06.484 and the way that we interact[br]with each other 0:03:06.508,0:03:07.852 on an online dating website. 0:03:07.876,0:03:10.801 And they've come up with some[br]seriously interesting findings. 0:03:10.825,0:03:12.423 But my particular favorite 0:03:12.447,0:03:15.803 is that it turns out[br]that on an online dating website, 0:03:15.827,0:03:21.487 how attractive you are[br]does not dictate how popular you are, 0:03:21.511,0:03:25.367 and actually, having people[br]think that you're ugly 0:03:25.391,0:03:27.286 can work to your advantage. 0:03:27.469,0:03:28.619 (Laughter) 0:03:28.643,0:03:30.313 Let me show you how this works. 0:03:30.337,0:03:34.716 In a thankfully voluntary[br]section of OkCupid, 0:03:34.740,0:03:37.541 you are allowed to rate[br]how attractive you think people are 0:03:37.565,0:03:39.850 on a scale between one and five. 0:03:39.874,0:03:42.855 Now, if we compare this score,[br]the average score, 0:03:42.879,0:03:46.020 to how many messages[br]a selection of people receive, 0:03:46.044,0:03:47.567 you can begin to get a sense 0:03:47.591,0:03:51.999 of how attractiveness links to popularity[br]on an online dating website. 0:03:52.023,0:03:55.365 This is the graph the OkCupid guys[br]have come up with. 0:03:55.389,0:03:58.383 And the important thing to notice[br]is that it's not totally true 0:03:58.407,0:04:01.232 that the more attractive you are,[br]the more messages you get. 0:04:01.256,0:04:05.511 But the question arises then[br]of what is it about people up here 0:04:05.535,0:04:09.398 who are so much more popular[br]than people down here, 0:04:09.422,0:04:12.518 even though they have the same[br]score of attractiveness? 0:04:12.542,0:04:16.675 And the reason why is that it's not just[br]straightforward looks that are important. 0:04:16.699,0:04:19.506 So let me try to illustrate[br]their findings with an example. 0:04:19.530,0:04:23.448 So if you take someone like[br]Portia de Rossi, for example, 0:04:23.472,0:04:27.952 everybody agrees that Portia de Rossi[br]is a very beautiful woman. 0:04:27.976,0:04:31.694 Nobody thinks that she's ugly,[br]but she's not a supermodel, either. 0:04:31.718,0:04:36.309 If you compare Portia de Rossi[br]to someone like Sarah Jessica Parker, 0:04:36.333,0:04:40.015 now, a lot of people,[br]myself included, I should say, 0:04:40.039,0:04:44.296 think that Sarah Jessica Parker[br]is seriously fabulous 0:04:44.320,0:04:46.966 and possibly one[br]of the most beautiful creatures 0:04:46.990,0:04:49.380 to have ever have walked[br]on the face of the Earth. 0:04:49.404,0:04:54.169 But some other people,[br]i.e., most of the Internet ... 0:04:54.193,0:04:56.263 (Laughter) 0:04:56.287,0:04:58.673 seem to think that she looks[br]a bit like a horse. 0:04:58.697,0:05:01.486 (Laughter) 0:05:01.510,0:05:05.603 Now, I think that if you ask people[br]how attractive they thought 0:05:05.627,0:05:07.535 Jessica Parker or Portia de Rossi were, 0:05:07.559,0:05:10.467 and you ask them to give[br]them a score between one and five 0:05:10.491,0:05:13.511 I reckon that they'd average out[br]to have roughly the same score. 0:05:13.535,0:05:16.299 But the way that people would vote[br]would be very different. 0:05:16.323,0:05:19.025 So Portia's scores would[br]all be clustered around the four 0:05:19.049,0:05:21.480 because everybody agrees[br]that she's very beautiful, 0:05:21.504,0:05:24.218 whereas Sarah Jessica Parker[br]completely divides opinion. 0:05:24.242,0:05:26.218 There'd be a huge spread in her scores. 0:05:26.242,0:05:28.591 And actually it's this spread that counts. 0:05:28.615,0:05:30.841 It's this spread[br]that makes you more popular 0:05:30.865,0:05:33.041 on an online Internet dating website. 0:05:33.065,0:05:34.253 So what that means then 0:05:34.277,0:05:36.882 is that if some people[br]think that you're attractive, 0:05:36.906,0:05:38.767 you're actually better off 0:05:38.791,0:05:42.738 having some other people[br]think that you're a massive minger. 0:05:43.935,0:05:46.149 That's much better[br]than everybody just thinking 0:05:46.173,0:05:48.236 that you're the cute girl next door. 0:05:48.260,0:05:50.585 Now, I think this begins[br]to make a bit more sense 0:05:50.609,0:05:53.879 when you think in terms of the people[br]who are sending these messages. 0:05:53.903,0:05:56.261 So let's say that you think[br]somebody's attractive, 0:05:56.285,0:06:00.250 but you suspect that other people[br]won't necessarily be that interested. 0:06:00.274,0:06:02.519 That means there's[br]less competition for you 0:06:02.543,0:06:05.325 and it's an extra incentive[br]for you to get in touch. 0:06:05.349,0:06:08.134 Whereas compare that[br]to if you think somebody is attractive 0:06:08.158,0:06:11.375 but you suspect that everybody[br]is going to think they're attractive. 0:06:11.399,0:06:14.604 Well, why would you bother[br]humiliating yourself, let's be honest? 0:06:15.077,0:06:17.470 But here's where the really[br]interesting part comes. 0:06:17.494,0:06:21.674 Because when people choose the pictures[br]that they use on an online dating website, 0:06:21.698,0:06:23.874 they often try to minimize the things 0:06:23.898,0:06:27.136 that they think some people[br]will find unattractive. 0:06:27.160,0:06:31.191 The classic example is people[br]who are, perhaps, a little bit overweight 0:06:31.215,0:06:33.657 deliberately choosing[br]a very cropped photo, 0:06:33.681,0:06:35.032 (Laughter) 0:06:35.056,0:06:36.816 or bald men, for example, 0:06:36.840,0:06:39.788 deliberately choosing pictures[br]where they're wearing hats. 0:06:39.812,0:06:42.402 But actually this is the opposite[br]of what you should do 0:06:42.426,0:06:43.816 if you want to be successful. 0:06:43.840,0:06:45.174 You should really, instead, 0:06:45.198,0:06:48.356 play up to whatever it is[br]that makes you different, 0:06:48.380,0:06:52.531 even if you think that some people[br]will find it unattractive. 0:06:52.555,0:06:55.766 Because the people who fancy you[br]are just going to fancy you anyway, 0:06:55.790,0:07:00.346 and the unimportant losers who don't,[br]well, they only play up to your advantage. 0:07:00.370,0:07:02.923 OK, Top Tip #2:[br]How to pick the perfect partner. 0:07:02.947,0:07:05.600 So let's imagine then[br]that you're a roaring success 0:07:05.624,0:07:07.165 on the dating scene. 0:07:07.189,0:07:11.724 But the question arises[br]of how do you then convert that success 0:07:11.748,0:07:14.299 into longer-term happiness, 0:07:14.323,0:07:19.413 and in particular, how do you decide[br]when is the right time to settle down? 0:07:19.437,0:07:22.245 Now generally,[br]it's not advisable to just cash in 0:07:22.269,0:07:26.392 and marry the first person who comes along[br]and shows you any interest at all. 0:07:26.416,0:07:29.537 But, equally, you don't really[br]want to leave it too long 0:07:29.561,0:07:32.331 if you want to maximize your chance[br]of long-term happiness. 0:07:32.355,0:07:35.819 As my favorite author,[br]Jane Austen, puts it, 0:07:35.843,0:07:38.037 "An unmarried woman of seven and twenty 0:07:38.061,0:07:41.493 can never hope to feel[br]or inspire affection again." 0:07:41.517,0:07:44.182 (Laughter) 0:07:44.206,0:07:45.388 Thanks a lot, Jane. 0:07:45.412,0:07:46.825 What do you know about love? 0:07:46.849,0:07:47.932 (Laughter) 0:07:47.956,0:07:49.865 So the question is then, 0:07:49.889,0:07:52.478 how do you know when[br]is the right time to settle down, 0:07:52.502,0:07:55.130 given all the people[br]that you can date in your lifetime? 0:07:55.154,0:07:58.604 Thankfully, there's a rather delicious bit[br]of mathematics that we can use 0:07:58.628,0:08:01.172 to help us out here,[br]called optimal stopping theory. 0:08:01.196,0:08:03.177 So let's imagine, then, 0:08:03.201,0:08:05.803 that you start dating when you're 15 0:08:05.827,0:08:09.596 and ideally, you'd like to be married[br]by the time that you're 35. 0:08:09.620,0:08:11.062 And there's a number of people 0:08:11.086,0:08:13.583 that you could potentially[br]date across your lifetime, 0:08:13.607,0:08:15.735 and they'll be at varying[br]levels of goodness. 0:08:15.759,0:08:18.424 Now the rules are that once[br]you cash in and get married, 0:08:18.448,0:08:20.878 you can't look ahead to see[br]what you could have had, 0:08:20.902,0:08:23.435 and equally, you can't go back[br]and change your mind. 0:08:23.459,0:08:25.058 In my experience at least, 0:08:25.082,0:08:27.880 I find that typically people[br]don't much like being recalled 0:08:27.904,0:08:33.122 years after being passed up[br]for somebody else, or that's just me. 0:08:33.146,0:08:36.339 So the math says then[br]that what you should do 0:08:36.363,0:08:39.534 in the first 37 percent[br]of your dating window, 0:08:39.558,0:08:43.315 you should just reject everybody[br]as serious marriage potential. 0:08:43.339,0:08:45.489 (Laughter) 0:08:45.513,0:08:49.137 And then, you should pick[br]the next person that comes along 0:08:49.161,0:08:52.130 that is better than everybody[br]that you've seen before. 0:08:52.154,0:08:53.575 So here's the example. 0:08:53.599,0:08:56.466 Now if you do this, it can be[br]mathematically proven, in fact, 0:08:56.490,0:08:58.951 that this is the best possible way 0:08:58.975,0:09:03.304 of maximizing your chances[br]of finding the perfect partner. 0:09:03.328,0:09:07.909 Now unfortunately, I have to tell you that[br]this method does come with some risks. 0:09:08.604,0:09:13.413 For instance, imagine[br]if your perfect partner appeared 0:09:13.437,0:09:16.119 during your first 37 percent. 0:09:16.143,0:09:18.915 Now, unfortunately,[br]you'd have to reject them. 0:09:18.939,0:09:21.628 (Laughter) 0:09:22.129,0:09:24.244 Now, if you're following the maths, 0:09:24.268,0:09:25.901 I'm afraid no one else comes along 0:09:25.925,0:09:28.196 that's better than anyone[br]you've seen before, 0:09:28.220,0:09:32.069 so you have to go on[br]rejecting everyone and die alone. 0:09:32.093,0:09:34.092 (Laughter) 0:09:34.560,0:09:36.076 Probably surrounded by cats ... 0:09:36.100,0:09:37.719 (Laughter) 0:09:37.838,0:09:39.405 nibbling at your remains. 0:09:39.429,0:09:43.398 OK, another risk is,[br]let's imagine, instead, 0:09:43.422,0:09:46.538 that the first people that you dated[br]in your first 37 percent 0:09:46.562,0:09:50.483 are just incredibly dull,[br]boring, terrible people. 0:09:50.839,0:09:53.221 That's OK, because[br]you're in your rejection phase, 0:09:53.245,0:09:54.960 so that's fine, you can reject them. 0:09:54.984,0:09:58.357 But then imagine[br]the next person to come along 0:09:58.381,0:10:01.711 is just marginally less boring,[br]dull and terrible ... 0:10:01.735,0:10:02.834 (Laughter) 0:10:02.858,0:10:04.756 than everybody that you've seen before. 0:10:04.780,0:10:08.375 Now, if you are following the maths,[br]I'm afraid you have to marry them ... 0:10:08.399,0:10:09.454 (Laughter) 0:10:09.478,0:10:12.621 and end up in a relationship[br]which is, frankly, suboptimal. 0:10:12.645,0:10:13.798 Sorry about that. 0:10:13.822,0:10:17.322 But I do think that there's an opportunity[br]here for Hallmark to cash in on 0:10:17.346,0:10:18.928 and really cater for this market. 0:10:18.952,0:10:20.535 A Valentine's Day card like this. 0:10:20.559,0:10:21.715 (Laughter) 0:10:21.739,0:10:24.741 "My darling husband,[br]you are marginally less terrible 0:10:24.765,0:10:26.919 than the first 37 percent[br]of people I dated." 0:10:26.943,0:10:28.573 (Laughter) 0:10:28.597,0:10:31.435 It's actually more romantic[br]than I normally manage. 0:10:31.745,0:10:33.216 (Laughter) 0:10:33.240,0:10:37.901 OK, so this method doesn't give you[br]a 100 percent success rate, 0:10:37.925,0:10:41.360 but there's no other possible[br]strategy that can do any better. 0:10:41.384,0:10:44.814 And actually, in the wild,[br]there are certain types of fish 0:10:44.838,0:10:47.655 which follow and employ[br]this exact strategy. 0:10:47.679,0:10:50.432 So they reject every possible[br]suitor that turns up 0:10:50.456,0:10:53.145 in the first 37 percent[br]of the mating season, 0:10:53.169,0:10:56.920 and then they pick the next fish[br]that comes along after that window 0:10:56.944,0:10:59.099 that's, I don't know, bigger and burlier 0:10:59.123,0:11:01.701 than all of the fish[br]that they've seen before. 0:11:01.725,0:11:06.602 I also think that subconsciously,[br]humans, we do sort of do this anyway. 0:11:06.626,0:11:09.471 We give ourselves a little bit of time[br]to play the field, 0:11:09.495,0:11:13.091 get a feel for the marketplace[br]or whatever when we're young. 0:11:13.115,0:11:17.705 And then we only start looking seriously[br]at potential marriage candidates 0:11:17.729,0:11:19.756 once we hit our mid-to-late 20s. 0:11:19.780,0:11:22.990 I think this is conclusive proof,[br]if ever it were needed, 0:11:23.014,0:11:27.222 that everybody's brains are prewired[br]to be just a little bit mathematical. 0:11:27.450,0:11:29.453 OK, so that was Top Tip #2. 0:11:29.477,0:11:32.706 Now, Top Tip #3: How to avoid divorce. 0:11:33.351,0:11:36.275 OK, so let's imagine then[br]that you picked your perfect partner 0:11:36.299,0:11:40.528 and you're settling into[br]a lifelong relationship with them. 0:11:40.552,0:11:44.538 Now, I like to think that everybody[br]would ideally like to avoid divorce, 0:11:44.562,0:11:48.808 apart from, I don't know,[br]Piers Morgan's wife, maybe? 0:11:48.832,0:11:49.982 (Laughter) 0:11:50.185,0:11:52.605 But it's a sad fact of modern life 0:11:52.629,0:11:55.889 that one in two marriages[br]in the States ends in divorce, 0:11:55.913,0:11:59.705 with the rest of the world[br]not being far behind. 0:11:59.729,0:12:01.563 Now, you can be forgiven, perhaps 0:12:01.587,0:12:05.320 for thinking that the arguments[br]that precede a marital breakup 0:12:05.344,0:12:09.134 are not an ideal candidate[br]for mathematical investigation. 0:12:09.359,0:12:11.141 For one thing, it's very hard to know 0:12:11.165,0:12:14.242 what you should be measuring[br]or what you should be quantifying. 0:12:14.266,0:12:20.449 But this didn't stop a psychologist,[br]John Gottman, who did exactly that. 0:12:20.473,0:12:25.710 Gottman observed hundreds of couples[br]having a conversation 0:12:25.734,0:12:28.040 and recorded, well,[br]everything you can think of. 0:12:28.064,0:12:30.431 So he recorded what was said[br]in the conversation, 0:12:30.455,0:12:32.748 he recorded their skin conductivity, 0:12:32.772,0:12:34.835 he recorded their facial expressions, 0:12:34.859,0:12:36.850 their heart rates, their blood pressure, 0:12:36.874,0:12:43.110 basically everything apart from whether[br]or not the wife was actually always right, 0:12:43.134,0:12:46.325 which incidentally she totally is. 0:12:46.349,0:12:48.998 But what Gottman and his team found 0:12:49.022,0:12:52.037 was that one of the most[br]important predictors 0:12:52.061,0:12:54.543 for whether or not a couple[br]is going to get divorced 0:12:54.567,0:12:59.190 was how positive or negative each partner[br]was being in the conversation. 0:12:59.214,0:13:01.544 Now, couples that were very low-risk 0:13:01.568,0:13:05.837 scored a lot more positive points[br]on Gottman's scale than negative. 0:13:05.861,0:13:08.402 Whereas bad relationships, 0:13:08.426,0:13:11.173 by which I mean,[br]probably going to get divorced, 0:13:11.197,0:13:15.554 they found themselves getting[br]into a spiral of negativity. 0:13:15.578,0:13:17.838 Now just by using these very simple ideas, 0:13:17.862,0:13:20.333 Gottman and his group were able to predict 0:13:20.357,0:13:23.079 whether a given couple[br]was going to get divorced 0:13:23.103,0:13:25.288 with a 90 percent accuracy. 0:13:26.005,0:13:29.294 But it wasn't until he teamed up[br]with a mathematician, James Murray, 0:13:29.318,0:13:31.209 that they really started to understand 0:13:31.233,0:13:35.727 what causes these negativity spirals[br]and how they occur. 0:13:35.751,0:13:37.284 And the results that they found, 0:13:37.308,0:13:41.957 I think, are just incredibly[br]impressively simple and interesting. 0:13:41.981,0:13:46.544 So these equations predict how the wife[br]or husband is going to respond 0:13:46.568,0:13:48.456 in their next turn of the conversation, 0:13:48.480,0:13:50.613 how positive or negative[br]they're going to be. 0:13:50.637,0:13:52.022 And these equations depend on 0:13:52.046,0:13:54.352 the mood of the person[br]when they're on their own, 0:13:54.376,0:13:56.990 the mood of the person when[br]they're with their partner, 0:13:57.014,0:13:58.739 but most importantly, they depend on 0:13:58.763,0:14:01.795 how much the husband and wife[br]influence one another. 0:14:02.115,0:14:04.722 Now, I think it's important[br]to point out at this stage, 0:14:04.746,0:14:08.255 that these exact equations[br]have also been shown 0:14:08.279,0:14:10.474 to be perfectly able at describing 0:14:10.498,0:14:14.232 what happens between two countries[br]in an arms race. 0:14:15.010,0:14:18.098 (Laughter) 0:14:18.300,0:14:21.881 So that an arguing couple[br]spiraling into negativity 0:14:21.905,0:14:23.810 and teetering on the brink of divorce 0:14:23.834,0:14:28.083 is actually mathematically equivalent[br]to the beginning of a nuclear war. 0:14:28.107,0:14:30.997 (Laughter) 0:14:31.021,0:14:33.334 But the really important term[br]in this equation 0:14:33.358,0:14:35.853 is the influence that people[br]have on one another, 0:14:35.877,0:14:39.134 and in particular, something called[br]"the negativity threshold." 0:14:39.158,0:14:40.890 Now, the negativity threshold, 0:14:40.914,0:14:45.541 you can think of as[br]how annoying the husband can be 0:14:45.565,0:14:49.828 before the wife starts to get[br]really pissed off, and vice versa. 0:14:49.852,0:14:54.384 Now, I always thought that good marriages[br]were about compromise and understanding 0:14:54.408,0:14:57.170 and allowing the person[br]to have the space to be themselves. 0:14:57.194,0:15:00.547 So I would have thought that perhaps[br]the most successful relationships 0:15:00.571,0:15:03.851 were ones where there was[br]a really high negativity threshold. 0:15:03.875,0:15:05.668 Where couples let things go 0:15:05.692,0:15:08.463 and only brought things up[br]if they really were a big deal. 0:15:08.487,0:15:12.738 But actually, the mathematics[br]and subsequent findings by the team 0:15:12.762,0:15:15.294 have shown the exact opposite is true. 0:15:15.799,0:15:18.108 The best couples,[br]or the most successful couples, 0:15:18.132,0:15:21.495 are the ones with a really low[br]negativity threshold. 0:15:21.519,0:15:25.153 These are the couples[br]that don't let anything go unnoticed 0:15:25.177,0:15:28.375 and allow each other[br]some room to complain. 0:15:28.399,0:15:33.633 These are the couples that are continually[br]trying to repair their own relationship, 0:15:33.657,0:15:36.400 that have a much more positive[br]outlook on their marriage. 0:15:36.424,0:15:38.492 Couples that don't let things go 0:15:38.516,0:15:43.396 and couples that don't let trivial things[br]end up being a really big deal. 0:15:44.426,0:15:49.684 Now of course, it takes a bit more[br]than just a low negativity threshold 0:15:49.708,0:15:54.076 and not compromising[br]to have a successful relationship. 0:15:54.100,0:15:56.626 But I think that it's quite interesting 0:15:56.650,0:15:59.004 to know that there is really[br]mathematical evidence 0:15:59.028,0:16:02.456 to say that you should never[br]let the sun go down on your anger. 0:16:02.480,0:16:04.164 So those are my top three tips 0:16:04.188,0:16:07.359 of how maths can help you[br]with love and relationships. 0:16:07.383,0:16:09.778 But I hope, that aside from[br]their use as tips, 0:16:09.802,0:16:13.904 they also give you a little bit of insight[br]into the power of mathematics. 0:16:13.928,0:16:18.269 Because for me, equations[br]and symbols aren't just a thing. 0:16:18.684,0:16:23.095 They're a voice that speaks out[br]about the incredible richness of nature 0:16:23.119,0:16:24.905 and the startling simplicity 0:16:24.929,0:16:29.742 in the patterns that twist and turn[br]and warp and evolve all around us, 0:16:29.766,0:16:32.346 from how the world works to how we behave. 0:16:32.370,0:16:34.680 So I hope that perhaps,[br]for just a couple of you, 0:16:34.704,0:16:37.189 a little bit of insight[br]into the mathematics of love 0:16:37.213,0:16:40.510 can persuade you to have[br]a little bit more love for mathematics. 0:16:40.534,0:16:41.733 Thank you. 0:16:41.757,0:16:48.757 (Applause)