1 00:00:00,348 --> 00:00:02,051 Does being bad at math make success unlikely 2 00:00:02,588 --> 00:00:04,631 Do not let one ruler define your worth 3 00:00:05,061 --> 00:00:07,104 A couple of days ago an old friend told me 4 00:00:07,221 --> 00:00:09,425 She had heard a math expert say 5 00:00:09,541 --> 00:00:11,745 People who are bad at math rarely succeed 6 00:00:12,062 --> 00:00:13,944 She has never been very good at math 7 00:00:14,021 --> 00:00:15,900 So those words felt like a thorn 8 00:00:15,902 --> 00:00:17,307 Lodged in her heart 9 00:00:17,504 --> 00:00:19,888 My first reaction was not that it seemed a little wrong 10 00:00:20,225 --> 00:00:21,448 It was that it was seriously wrong 11 00:00:22,144 --> 00:00:25,908 That statement makes a logical mistake I often criticize here 12 00:00:26,024 --> 00:00:27,687 And it can do a great deal of harm 13 00:00:28,105 --> 00:00:30,384 Because it sounds so reasonable 14 00:00:30,385 --> 00:00:32,587 As if an expert were simply stating a fact 15 00:00:32,745 --> 00:00:35,907 But it is actually a prejudice disguised as a fact 16 00:00:36,264 --> 00:00:38,668 Today I want to unpack this carefully 17 00:00:38,864 --> 00:00:41,627 Because I believe that you watching this 18 00:00:41,665 --> 00:00:44,698 Have probably been hurt by something similar 19 00:00:45,094 --> 00:00:45,438 Hello 20 00:00:45,695 --> 00:00:46,198 Everyone 21 00:00:46,454 --> 00:00:47,618 I am Leo Wang 22 00:00:47,774 --> 00:00:50,537 First let me explain the flaw in that logic 23 00:00:50,615 --> 00:00:53,397 It is a classic case of overgeneralization 24 00:00:53,695 --> 00:00:57,058 Using one dimension to define the full potential of a person 25 00:00:57,255 --> 00:01:01,618 It is like using a height ruler to measure how fast a fish swims 26 00:01:01,695 --> 00:01:03,978 Then declaring that the fish is no good 27 00:01:04,375 --> 00:01:05,478 There is nothing wrong with the ruler 28 00:01:05,854 --> 00:01:07,178 But you are measuring the wrong thing 29 00:01:08,059 --> 00:01:09,902 That expert made another point 30 00:01:10,139 --> 00:01:14,142 Basically that people bad at math lack abstract imagination 31 00:01:14,458 --> 00:01:16,321 That sounds even more academic right 32 00:01:17,018 --> 00:01:18,821 But think about it for a moment 33 00:01:18,938 --> 00:01:22,791 Math is far from the only way abstract imagination is expressed 34 00:01:22,988 --> 00:01:26,191 When a great novelist builds a fictional world 35 00:01:26,268 --> 00:01:28,752 That takes tremendous abstract imagination 36 00:01:29,068 --> 00:01:32,392 When a top interior designer plans a space 37 00:01:32,469 --> 00:01:34,827 The spatial reasoning running through their mind 38 00:01:34,828 --> 00:01:37,312 Is no less complex than a geometric proof 39 00:01:37,589 --> 00:01:40,152 When an experienced Chinese medicine practitioner takes a pulse 40 00:01:40,188 --> 00:01:43,872 They build a dynamic mental model of how qi and blood flow 41 00:01:43,908 --> 00:01:46,472 That too is a highly advanced form of abstract thought 42 00:01:46,869 --> 00:01:50,027 These abilities just are not expressed in numbers and formulas 43 00:01:50,029 --> 00:01:52,872 So the math ruler fails to measure them 44 00:01:53,412 --> 00:01:54,975 Before we go any further 45 00:01:55,052 --> 00:01:56,954 I want to ask a more fundamental question 46 00:01:57,572 --> 00:01:58,355 What does success mean 47 00:01:58,852 --> 00:02:01,091 If success means making a fortune in business 48 00:02:01,091 --> 00:02:03,055 You can do that without being good at math 49 00:02:03,132 --> 00:02:05,650 If success means contributing to humanity 50 00:02:05,651 --> 00:02:07,814 Then it is even less necessarily connected to math 51 00:02:07,931 --> 00:02:09,834 But let us take an even broader view 52 00:02:10,131 --> 00:02:12,411 If success means living this life well 53 00:02:12,411 --> 00:02:14,035 Living happily and with clarity 54 00:02:14,332 --> 00:02:16,635 Living with love and leaving no regrets when we die 55 00:02:17,012 --> 00:02:18,650 Then whether you are good at math 56 00:02:18,651 --> 00:02:21,294 Carries even less weight in the overall equation 57 00:02:21,919 --> 00:02:24,282 Not everyone watching this channel follows a spiritual practice 58 00:02:24,359 --> 00:02:26,763 But we are at least trying to live this life well 59 00:02:27,199 --> 00:02:29,002 And the standard for a life well lived 60 00:02:29,079 --> 00:02:31,891 Can never be defined by a math exam 61 00:02:32,327 --> 00:02:34,051 Let us start with success in business 62 00:02:34,567 --> 00:02:35,111 Steve Jobs 63 00:02:35,447 --> 00:02:37,810 Had a high school grade average of just two point six five 64 00:02:37,928 --> 00:02:38,750 Out of four 65 00:02:39,127 --> 00:02:40,851 Not even above average 66 00:02:41,007 --> 00:02:43,490 He dropped out after just one semester of college 67 00:02:43,607 --> 00:02:47,566 He clearly said his greatest ability was not technical calculation 68 00:02:47,567 --> 00:02:51,771 But the intuition to find the soul of a product where technology meets the humanities 69 00:02:52,127 --> 00:02:55,058 Apple has a market value approaching four trillion dollars 70 00:02:55,214 --> 00:02:55,677 Thomas Edison 71 00:02:56,094 --> 00:02:57,457 Held more than a thousand patents 72 00:02:57,494 --> 00:03:00,818 He never showed any particular gift for advanced mathematics 73 00:03:00,975 --> 00:03:02,094 Coco Chanel 74 00:03:02,094 --> 00:03:05,697 Rose from an orphanage to build a fashion empire lasting over a century 75 00:03:05,934 --> 00:03:06,878 Richard Branson 76 00:03:07,254 --> 00:03:08,818 The founder of the Virgin Group 77 00:03:08,855 --> 00:03:10,038 Has dyslexia 78 00:03:10,374 --> 00:03:11,893 Did terribly at school 79 00:03:11,895 --> 00:03:13,058 And dropped out at sixteen 80 00:03:13,094 --> 00:03:17,218 But he built a business empire spanning aviation music and telecommunications 81 00:03:18,296 --> 00:03:20,119 These people share one trait 82 00:03:20,617 --> 00:03:22,135 In a particular dimension 83 00:03:22,136 --> 00:03:24,420 They had extraordinary modeling abilities 84 00:03:24,937 --> 00:03:28,119 Jobs modeled human desires and aesthetic experiences 85 00:03:28,777 --> 00:03:32,119 Chanel modeled female identity and liberation 86 00:03:32,696 --> 00:03:36,360 Branson modeled how to make boring industries appealing 87 00:03:37,176 --> 00:03:39,779 These are all highly advanced forms of abstract thought 88 00:03:39,896 --> 00:03:42,420 They simply are not expressed in mathematical formulas 89 00:03:42,942 --> 00:03:45,905 Now here is something that might surprise you 90 00:03:46,342 --> 00:03:47,405 People who are brilliant at math 91 00:03:47,743 --> 00:03:49,305 Do not necessarily live well 92 00:03:49,782 --> 00:03:52,501 And some people precisely because they are so good at math 93 00:03:52,502 --> 00:03:54,946 End up seriously out of balance in other areas 94 00:03:55,856 --> 00:03:56,636 Kurt Godel 95 00:03:56,636 --> 00:03:59,239 One of the greatest logicians of the twentieth century 96 00:03:59,356 --> 00:04:03,320 Proved that mathematical systems have insurmountable limits 97 00:04:03,476 --> 00:04:06,640 His intellect unquestionably stood at the pinnacle of humanity 98 00:04:06,837 --> 00:04:09,880 But in his later years he developed severe paranoid delusions 99 00:04:10,036 --> 00:04:12,040 He believed everyone wanted to poison him 100 00:04:12,237 --> 00:04:14,839 And would only eat food prepared by his wife 101 00:04:15,076 --> 00:04:16,100 After his wife was hospitalized 102 00:04:16,356 --> 00:04:18,080 He refused to eat at all 103 00:04:18,437 --> 00:04:19,920 In January nineteen seventy eight 104 00:04:19,956 --> 00:04:22,600 When he was found in a Princeton hospital 105 00:04:22,677 --> 00:04:25,079 He weighed less than thirty kilograms 106 00:04:25,316 --> 00:04:27,023 He had starved to death 107 00:04:27,261 --> 00:04:27,684 John Nash 108 00:04:28,100 --> 00:04:29,340 A founder of game theory 109 00:04:29,341 --> 00:04:30,903 And a Nobel laureate in economics 110 00:04:31,220 --> 00:04:34,223 His equilibrium theory changed the foundations of economics 111 00:04:34,500 --> 00:04:38,264 But from the age of thirty he battled schizophrenia for thirty years 112 00:04:38,540 --> 00:04:40,103 Hearing voices that were not there 113 00:04:40,220 --> 00:04:41,944 And pursued by conspiracies that did not exist 114 00:04:42,220 --> 00:04:43,523 His wife divorced him 115 00:04:43,860 --> 00:04:45,103 Then returned to care for him 116 00:04:45,420 --> 00:04:46,860 The suffering in that experience 117 00:04:46,860 --> 00:04:49,947 Could not be eased by any mathematical theorem 118 00:04:50,185 --> 00:04:50,767 Georg Cantor 119 00:04:51,185 --> 00:04:52,668 The founder of set theory 120 00:04:52,784 --> 00:04:54,907 Opened the door to infinity in mathematics 121 00:04:55,265 --> 00:04:57,467 At the cost of repeated mental breakdowns 122 00:04:57,625 --> 00:05:00,628 He spent the final years of his life in psychiatric hospitals 123 00:05:00,904 --> 00:05:01,288 Alan Turing 124 00:05:01,704 --> 00:05:03,188 The father of computer science 125 00:05:03,224 --> 00:05:07,188 Broke Nazi codes during World War Two and saved countless lives 126 00:05:07,385 --> 00:05:09,628 But because of the persecution he faced from society 127 00:05:09,664 --> 00:05:12,228 He ended his life at forty one 128 00:05:12,464 --> 00:05:12,887 Isaac Newton 129 00:05:13,265 --> 00:05:14,988 One of the inventors of calculus 130 00:05:15,104 --> 00:05:17,628 Became deeply paranoid and isolated in his later years 131 00:05:17,704 --> 00:05:20,228 His relationships with almost all his colleagues broke down 132 00:05:20,265 --> 00:05:21,590 And he died alone 133 00:05:21,708 --> 00:05:23,706 I am not telling these stories to prove 134 00:05:23,708 --> 00:05:25,170 That being good at math causes unhappiness 135 00:05:25,588 --> 00:05:27,831 That would be the same kind of overgeneralization 136 00:05:28,028 --> 00:05:28,850 What I am saying is 137 00:05:29,268 --> 00:05:30,867 The dimension of mathematical ability 138 00:05:30,867 --> 00:05:32,710 And living this life well 139 00:05:32,787 --> 00:05:34,511 Do not necessarily have a positive correlation 140 00:05:34,828 --> 00:05:37,511 Math did not teach them to manage their emotions 141 00:05:37,547 --> 00:05:39,790 It did not teach them to handle relationships 142 00:05:39,828 --> 00:05:43,311 It did not teach them to stay calm amid uncertainty 143 00:05:44,021 --> 00:05:45,443 So what does scientific research say 144 00:05:46,140 --> 00:05:48,784 The Harvard psychologist Howard Gardner 145 00:05:48,861 --> 00:05:51,543 Proposed the theory of multiple intelligences in nineteen eighty three 146 00:05:51,781 --> 00:05:53,579 He identified at least eight 147 00:05:53,580 --> 00:05:55,123 Relatively independent dimensions of intelligence 148 00:05:55,580 --> 00:05:59,363 Linguistic logical mathematical spatial bodily kinesthetic 149 00:05:59,781 --> 00:06:03,384 Musical interpersonal intrapersonal and naturalistic 150 00:06:03,620 --> 00:06:06,363 He later considered a ninth existential intelligence 151 00:06:07,060 --> 00:06:08,603 The central point Gardner made was this 152 00:06:09,021 --> 00:06:11,384 A child who learns math slowly 153 00:06:11,461 --> 00:06:13,464 Is not necessarily less capable overall 154 00:06:13,580 --> 00:06:16,784 They may simply need a different way into learning 155 00:06:16,981 --> 00:06:20,657 And they may excel in fields outside mathematics 156 00:06:20,895 --> 00:06:23,937 Research on emotional intelligence by Goleman offers more direct data 157 00:06:24,254 --> 00:06:28,297 His team analyzed competency models for hundreds of jobs and found 158 00:06:28,494 --> 00:06:32,737 That among the core abilities distinguishing top from average performers 159 00:06:32,934 --> 00:06:35,857 Nearly two thirds were related to emotional intelligence 160 00:06:36,015 --> 00:06:38,374 Meanwhile traditional cognitive IQ tests 161 00:06:38,374 --> 00:06:41,177 Could explain only about twenty percent of the differences in performance 162 00:06:41,415 --> 00:06:42,338 In other words 163 00:06:42,455 --> 00:06:45,578 Whether someone can get things done in the real world 164 00:06:45,734 --> 00:06:47,758 Depends mostly on things that IQ tests 165 00:06:48,095 --> 00:06:48,758 Including math 166 00:06:49,215 --> 00:06:50,258 Cannot measure 167 00:06:50,524 --> 00:06:52,367 There is another very important finding 168 00:06:52,603 --> 00:06:53,683 Some research suggests 169 00:06:53,683 --> 00:06:55,687 That once IQ exceeds one hundred and twenty 170 00:06:55,723 --> 00:06:57,202 Pushing the score any higher 171 00:06:57,204 --> 00:06:59,926 Brings sharply diminishing returns in real world achievement 172 00:07:00,243 --> 00:07:01,726 Beyond that threshold 173 00:07:01,764 --> 00:07:04,267 What really separates people becomes 174 00:07:04,524 --> 00:07:07,067 Emotional regulation and the ability to delay gratification 175 00:07:07,363 --> 00:07:09,507 Resilience and self motivation 176 00:07:09,844 --> 00:07:11,526 And the ability to empathize with others 177 00:07:11,784 --> 00:07:12,584 Not one of these things 178 00:07:12,723 --> 00:07:15,520 Can be measured by a math exam 179 00:07:15,837 --> 00:07:18,960 Now let us return to my conversation with that old friend 180 00:07:19,277 --> 00:07:23,520 Because it vividly illustrates these different dimensions of intelligence 181 00:07:23,956 --> 00:07:25,955 She has worked in human resources for thirty years 182 00:07:25,956 --> 00:07:27,439 And interviewed more than a thousand people 183 00:07:27,636 --> 00:07:29,700 She has an ability I deeply admire 184 00:07:30,157 --> 00:07:32,035 In an interview lasting one or two hours 185 00:07:32,037 --> 00:07:34,479 Through a few seemingly ordinary questions 186 00:07:34,636 --> 00:07:36,419 She can assess the structure of a personality 187 00:07:36,756 --> 00:07:40,200 Work motivation potential risks and room for growth 188 00:07:40,237 --> 00:07:42,960 And form a remarkably comprehensive and accurate judgment 189 00:07:43,157 --> 00:07:44,179 When those judgments are tested later 190 00:07:44,477 --> 00:07:46,119 The accuracy is astonishing 191 00:07:46,477 --> 00:07:47,100 What is that 192 00:07:47,556 --> 00:07:51,039 It is an extremely precise ability to build mental models 193 00:07:51,717 --> 00:07:52,460 What she does 194 00:07:52,797 --> 00:07:54,155 And what a mathematician does 195 00:07:54,157 --> 00:07:55,419 Have essentially the same structure 196 00:07:55,756 --> 00:07:57,996 Both take limited information 197 00:07:57,996 --> 00:08:00,520 And build a predictive model in the mind 198 00:08:00,717 --> 00:08:04,520 Then use that model to infer a reality not yet observed 199 00:08:04,876 --> 00:08:07,840 A mathematician models relationships between numbers 200 00:08:07,996 --> 00:08:13,029 She models relationships between motivation personality and ability 201 00:08:13,226 --> 00:08:13,849 What about me 202 00:08:14,346 --> 00:08:15,209 I am reasonably good at math 203 00:08:15,625 --> 00:08:17,188 But when I interview someone 204 00:08:17,226 --> 00:08:21,068 I am easily won over by the impressive things they say on the surface 205 00:08:21,426 --> 00:08:23,745 If their reasoning is coherent and their delivery smooth 206 00:08:23,745 --> 00:08:25,188 I tend to think they are good 207 00:08:25,466 --> 00:08:27,185 But she can see through that surface 208 00:08:27,185 --> 00:08:28,128 To what lies underneath 209 00:08:28,705 --> 00:08:30,065 Is this person truly self motivated 210 00:08:30,065 --> 00:08:32,269 Or are they performing it 211 00:08:32,305 --> 00:08:35,428 How much of the achievement they describe was their own contribution 212 00:08:35,546 --> 00:08:38,468 What is their instinctive response under pressure 213 00:08:38,745 --> 00:08:39,289 So you see 214 00:08:39,625 --> 00:08:41,064 She says she is bad at math 215 00:08:41,066 --> 00:08:42,704 But in reading people 216 00:08:42,706 --> 00:08:44,948 Her modeling is far more precise than mine 217 00:08:45,706 --> 00:08:47,225 And the ability to read people 218 00:08:47,226 --> 00:08:48,328 In real life 219 00:08:48,665 --> 00:08:50,968 Whether managing a team or raising children 220 00:08:51,265 --> 00:08:53,649 Maintaining a marriage or choosing a business partner 221 00:08:54,106 --> 00:08:57,344 Matters every bit as much as math 222 00:08:57,703 --> 00:08:59,464 Here is an even more everyday example 223 00:08:59,662 --> 00:09:00,464 Cooking 224 00:09:00,743 --> 00:09:01,862 I am reasonably good at math 225 00:09:01,863 --> 00:09:04,344 But cooking is very difficult for me 226 00:09:04,502 --> 00:09:06,340 My brain simply struggles 227 00:09:06,343 --> 00:09:09,541 With taste smell time and temperature 228 00:09:09,542 --> 00:09:10,646 Across all those dimensions 229 00:09:10,942 --> 00:09:12,626 To model and optimize them at once 230 00:09:12,902 --> 00:09:15,344 But some people are naturally good at this 231 00:09:15,422 --> 00:09:19,824 They intuitively know when the heat and seasoning are right and the food is ready 232 00:09:19,983 --> 00:09:23,344 Ask them to solve a pair of linear equations and they might struggle 233 00:09:23,422 --> 00:09:27,300 But the real time multivariable optimization system running in their kitchen 234 00:09:27,302 --> 00:09:28,984 Is no less complex 235 00:09:29,103 --> 00:09:30,506 That too is a kind of intelligence 236 00:09:30,542 --> 00:09:33,954 And one that makes life better 237 00:09:34,151 --> 00:09:36,032 I have been an angel investor for over a decade 238 00:09:36,110 --> 00:09:38,032 And invested in more than three hundred early stage ventures 239 00:09:38,151 --> 00:09:39,694 I can say this with real confidence 240 00:09:40,110 --> 00:09:41,912 Among the entrepreneurs I have met 241 00:09:42,070 --> 00:09:45,272 The correlation between mathematical skill and startup success 242 00:09:45,310 --> 00:09:46,392 Is close to zero 243 00:09:47,031 --> 00:09:49,954 The core factors that determine whether someone gets things done 244 00:09:49,990 --> 00:09:52,052 In my experience are always these 245 00:09:52,590 --> 00:09:55,052 Execution judgment and speed of learning 246 00:09:55,310 --> 00:09:58,114 Resilience under pressure and the ability to attract talent 247 00:09:58,350 --> 00:10:02,290 None of these can be predicted by solving a calculus problem 248 00:10:02,727 --> 00:10:03,851 So why does the idea 249 00:10:03,928 --> 00:10:05,851 That being bad at math makes you incapable 250 00:10:05,887 --> 00:10:06,751 Cause so much harm 251 00:10:07,328 --> 00:10:11,011 Because it triggers a psychological mechanism called learned helplessness 252 00:10:11,288 --> 00:10:14,971 When someone is repeatedly told they are inadequate in one area 253 00:10:15,088 --> 00:10:18,650 And authority figures give that area far too much weight 254 00:10:18,727 --> 00:10:21,670 They gradually internalize the belief that they are inadequate as a whole 255 00:10:22,448 --> 00:10:25,550 This is a classic self fulfilling prophecy in cognitive psychology 256 00:10:26,007 --> 00:10:27,487 You believe you will fail 257 00:10:27,487 --> 00:10:29,290 So you stop giving it your all 258 00:10:29,328 --> 00:10:31,170 And then you really do fail 259 00:10:31,328 --> 00:10:33,327 But the reason is not a lack of ability 260 00:10:33,328 --> 00:10:35,351 It is that your belief collapsed first 261 00:10:35,828 --> 00:10:38,028 The cruelest thing about labels like these 262 00:10:38,029 --> 00:10:40,952 Is that they equate one ability with an entire person 263 00:10:41,229 --> 00:10:43,591 Your mathematical ability is one of your attributes 264 00:10:43,668 --> 00:10:44,471 It is not you 265 00:10:44,588 --> 00:10:46,867 Being nearsighted does not mean you cannot see beauty 266 00:10:46,869 --> 00:10:50,391 Being tone deaf does not mean music cannot move you 267 00:10:50,509 --> 00:10:51,331 Being bad at math 268 00:10:51,629 --> 00:10:52,908 Does not mean your brain 269 00:10:52,908 --> 00:10:54,812 Is not a sophisticated thinking machine 270 00:10:55,229 --> 00:10:56,827 It has simply allocated its computing resources 271 00:10:56,828 --> 00:10:58,268 To another area 272 00:10:58,269 --> 00:11:00,763 That you may not have discovered yet 273 00:11:01,001 --> 00:11:05,804 The Buddha also discouraged defining ourselves rigidly by any single dimension 274 00:11:06,240 --> 00:11:08,263 The Diamond Sutra says all appearances 275 00:11:08,641 --> 00:11:09,584 Are illusory 276 00:11:10,200 --> 00:11:12,084 Being bad at math is one appearance 277 00:11:12,360 --> 00:11:14,324 Being good at math is another 278 00:11:14,681 --> 00:11:16,684 When someone puts a label on you 279 00:11:16,761 --> 00:11:18,924 That label is an illusory appearance 280 00:11:19,240 --> 00:11:20,424 If you cling to it 281 00:11:20,761 --> 00:11:22,163 You become trapped by it 282 00:11:22,240 --> 00:11:24,084 But a label has never been you 283 00:11:24,161 --> 00:11:29,002 It is only a rough measurement of one tiny slice of you 284 00:11:29,360 --> 00:11:31,742 The question that really matters is not whether I am good at math 285 00:11:32,000 --> 00:11:33,543 But what I am truly good at 286 00:11:34,120 --> 00:11:38,362 Every brain has its own way of modeling and its own strengths 287 00:11:38,640 --> 00:11:42,043 Some people find hidden patterns among numbers 288 00:11:42,160 --> 00:11:45,762 Some find a shared wavelength between people 289 00:11:45,880 --> 00:11:49,362 Some find harmonious order among colors 290 00:11:49,520 --> 00:11:53,563 Some find the crucial point of leverage in a chaotic situation 291 00:11:53,839 --> 00:11:57,163 There is no objective ranking of these abilities 292 00:11:57,240 --> 00:11:59,218 Only differences in where they fit best 293 00:11:59,616 --> 00:12:00,934 So if today 294 00:12:00,935 --> 00:12:03,618 Any words telling you that you are not good enough 295 00:12:03,736 --> 00:12:04,838 Are still lodged in your heart 296 00:12:05,175 --> 00:12:06,738 I hope you will do one thing 297 00:12:07,015 --> 00:12:07,519 Ask yourself 298 00:12:08,096 --> 00:12:09,214 The person who said that 299 00:12:09,216 --> 00:12:10,718 Which ruler were they using 300 00:12:11,175 --> 00:12:13,438 Does that ruler measure all of me 301 00:12:13,935 --> 00:12:15,639 Or just one side of me 302 00:12:16,256 --> 00:12:17,358 I can almost guarantee 303 00:12:17,736 --> 00:12:19,293 It is the latter 304 00:12:19,689 --> 00:12:22,368 And the parts that ruler never measured 305 00:12:22,370 --> 00:12:25,132 May be your greatest gifts in this life 306 00:12:25,449 --> 00:12:28,852 But no one has ever measured them with the right ruler 307 00:12:29,049 --> 00:12:31,666 So you do not even know they are there 308 00:12:32,097 --> 00:12:33,106 I am curious 309 00:12:33,265 --> 00:12:36,592 Have labels like these troubled you as you grew up 310 00:12:37,133 --> 00:12:38,703 How did you make peace with them 311 00:12:38,703 --> 00:12:41,346 And how did you discover what you are truly good at 312 00:12:41,846 --> 00:12:44,267 Share your story in the comments 313 00:12:44,546 --> 00:12:45,213 I am Leo Wang 314 00:12:45,473 --> 00:12:46,543 See you next time