WEBVTT 00:00:05.280 --> 00:00:07.416 This is me at five years old, 00:00:07.440 --> 00:00:11.960 shortly before jumping into this beautifully still pool of water. 00:00:12.840 --> 00:00:17.176 I soon find out the hard way that this pool is completely empty 00:00:17.200 --> 00:00:19.896 because the ice-cold water is near freezing 00:00:19.920 --> 00:00:22.200 and literally takes my breath away. 00:00:23.360 --> 00:00:25.256 Even though I already know how to swim, 00:00:25.280 --> 00:00:29.440 I can't get up to the water's surface, no matter how hard I try. 00:00:30.040 --> 00:00:33.520 That's the last thing I remember trying to do before blacking out. 00:00:34.520 --> 00:00:37.776 Turns out, the lifeguard on duty had been chatting with two girls 00:00:37.800 --> 00:00:39.376 when I jumped in, 00:00:39.400 --> 00:00:41.296 and I was soon underwater, 00:00:41.320 --> 00:00:45.256 so he couldn't actually see or hear me struggle. 00:00:45.280 --> 00:00:48.856 I was eventually saved by a girl walking near the pool 00:00:48.880 --> 00:00:51.120 who happened to look down and see me. 00:00:52.160 --> 00:00:54.816 The next thing I know, I'm getting mouth-to-mouth 00:00:54.840 --> 00:00:58.960 and being rushed to the hospital to determine the extent of my brain loss. 00:00:59.880 --> 00:01:03.376 If I had been flailing at the water's surface, 00:01:03.400 --> 00:01:06.640 the lifeguard would have noticed and come to save me. 00:01:07.520 --> 00:01:10.456 I share this near-death experience because it illustrates 00:01:10.480 --> 00:01:14.720 how dangerous things are when they're just beneath the surface. NOTE Paragraph 00:01:15.800 --> 00:01:19.616 Today, I study implicit gender bias in start-ups, 00:01:19.640 --> 00:01:24.176 which I consider to be far more insidious than mere overt bias 00:01:24.200 --> 00:01:25.800 for this very same reason. 00:01:26.440 --> 00:01:28.496 When we see or hear an investor 00:01:28.520 --> 00:01:31.856 behaving inappropriately towards an entrepreneur, 00:01:31.880 --> 00:01:33.816 we're aware of the problem 00:01:33.840 --> 00:01:36.680 and at least have a chance to do something about it. 00:01:37.480 --> 00:01:40.376 But what if there are subtle differences 00:01:40.400 --> 00:01:43.720 in the interactions between investors and entrepreneurs 00:01:44.800 --> 00:01:46.936 that can affect their outcomes, 00:01:46.960 --> 00:01:50.056 differences that we're not conscious of, 00:01:50.080 --> 00:01:53.160 that we can't directly see or hear? NOTE Paragraph 00:01:54.200 --> 00:01:57.216 Before studying start-ups at Columbia Business School, 00:01:57.240 --> 00:02:01.656 I spent five years running and raising money for my own start-up. 00:02:01.680 --> 00:02:05.976 I remember constantly racing around to meet with prospective investors 00:02:06.000 --> 00:02:08.735 while trying to manage my actual business. 00:02:08.759 --> 00:02:11.656 At one point I joked that I had reluctantly pitched 00:02:11.680 --> 00:02:15.456 each and every family member, friend, colleague, angel investor 00:02:15.480 --> 00:02:17.680 and VC this side of the Mississippi. 00:02:18.640 --> 00:02:21.296 Well, in the process of speaking to all these investors, 00:02:21.320 --> 00:02:23.536 I noticed something interesting was happening. 00:02:23.560 --> 00:02:27.936 I was getting asked a very different set of questions than my male cofounder. 00:02:27.960 --> 00:02:31.376 I got asked just about everything that could go wrong with the venture 00:02:31.400 --> 00:02:33.536 to induce investor losses, 00:02:33.560 --> 00:02:37.376 while my male cofounder was asked about our venture's home run potential 00:02:37.400 --> 00:02:39.776 to maximize investor gains, 00:02:39.800 --> 00:02:42.656 essentially everything that could go right with the venture. 00:02:42.680 --> 00:02:45.856 He got asked how many new customers we were going to bring on, 00:02:45.880 --> 00:02:49.816 while I got asked how we were going to hang on to the ones we already had. 00:02:49.840 --> 00:02:53.216 Well, as the CEO of the company, I found this to be rather odd. 00:02:53.240 --> 00:02:56.080 In fact, I felt like I was taking crazy pills. 00:02:57.240 --> 00:02:59.416 But I eventually rationalized it by thinking, 00:02:59.440 --> 00:03:01.896 maybe this has to do with how I'm presenting myself, 00:03:01.920 --> 00:03:04.480 or it's something simply unique to my start-up. NOTE Paragraph 00:03:05.520 --> 00:03:09.256 Well, years later I made the difficult decision to leave my start-up 00:03:09.280 --> 00:03:13.176 so I could pursue a lifelong dream of getting my PhD. 00:03:13.200 --> 00:03:17.496 It was at Columbia that I learned about a social psychological theory 00:03:17.520 --> 00:03:21.976 originated by Professor Tory Higgins called "regulatory focus," 00:03:22.000 --> 00:03:25.896 which differentiates between two distinct motivational orientations 00:03:25.920 --> 00:03:27.480 of promotion and prevention. 00:03:28.400 --> 00:03:30.936 A promotion focus is concerned with gains 00:03:30.960 --> 00:03:35.096 and emphasizes hopes, accomplishments and advancement needs, 00:03:35.120 --> 00:03:37.776 while a prevention focus is concerned with losses 00:03:37.800 --> 00:03:41.480 and emphasizes safety, responsibility and security needs. 00:03:42.200 --> 00:03:45.256 Since the best-case scenario for a prevention focus 00:03:45.280 --> 00:03:48.096 is to simply maintain the status quo, 00:03:48.120 --> 00:03:51.776 this has us treading water just to stay afloat, 00:03:51.800 --> 00:03:56.616 while a promotion focus instead has us swimming in the right direction. 00:03:56.640 --> 00:04:00.640 It's just a matter of how far we can advance. NOTE Paragraph 00:04:01.280 --> 00:04:04.896 Well, I had my very own eureka moment when it dawned on me 00:04:04.920 --> 00:04:06.376 that this concept of promotion 00:04:06.400 --> 00:04:09.936 sounded a lot like the questions posed to my male cofounder, 00:04:09.960 --> 00:04:12.920 while prevention resembled those questions asked of me. 00:04:14.200 --> 00:04:15.696 As an entrepreneurship scholar, 00:04:15.720 --> 00:04:18.976 I started digging into the research on start-up financing 00:04:19.000 --> 00:04:21.336 and discovered there's an enormous gap 00:04:21.360 --> 00:04:25.400 between the amount of funds that male and female founders raise. 00:04:26.360 --> 00:04:30.560 Although women found 38 percent of US companies, 00:04:31.640 --> 00:04:34.640 they only get two percent of the venture funding. 00:04:35.680 --> 00:04:37.656 I got to thinking: 00:04:37.680 --> 00:04:41.656 what if this funding gap is not due to any fundamental difference 00:04:41.680 --> 00:04:43.800 in the businesses started by men and women? 00:04:44.680 --> 00:04:47.776 What if women get less funding than men 00:04:47.800 --> 00:04:51.200 due to a simple difference in the questions that they get asked? 00:04:52.080 --> 00:04:54.736 After all, when it comes to venture funding, 00:04:54.760 --> 00:04:59.136 entrepreneurs need to convince investors of their start-up's home run potential. 00:04:59.160 --> 00:05:00.976 It's not enough to merely demonstrate 00:05:01.000 --> 00:05:03.296 you're not going to lose your investors' money. 00:05:03.320 --> 00:05:07.656 So it makes sense that women would be getting less funding than men 00:05:07.680 --> 00:05:08.936 if they're engaging 00:05:08.960 --> 00:05:12.776 in prevention as opposed to promotion-oriented dialogues. NOTE Paragraph 00:05:12.800 --> 00:05:15.336 Well, I got the chance to test this hypothesis 00:05:15.360 --> 00:05:20.416 on companies with similar quality and funding needs across all years 00:05:20.440 --> 00:05:23.856 at the funding competition known as TechCrunch Disrupt 00:05:23.880 --> 00:05:26.576 Startup Battlefield has run in New York City 00:05:26.600 --> 00:05:28.920 since its inception in 2010. 00:05:30.200 --> 00:05:34.016 TechCrunch is widely regarded as the ideal place for start-ups to launch, 00:05:34.040 --> 00:05:38.536 with participants including start-ups that have since become household names, 00:05:38.560 --> 00:05:40.496 like Dropbox, Fitbit and Mint, 00:05:40.520 --> 00:05:43.280 presenting to some of the world's most prominent VCs. 00:05:44.240 --> 00:05:48.136 Well, despite the comparability of companies in my sample, 00:05:48.160 --> 00:05:51.856 male-led start-ups went on to raise five times as much funding 00:05:51.880 --> 00:05:53.200 as the female-led ones. 00:05:54.240 --> 00:05:58.400 This made me especially curious to see what's driving this gender disparity. NOTE Paragraph 00:05:59.400 --> 00:06:00.656 Well, it took a while, 00:06:00.680 --> 00:06:05.216 but I got my hands on all the videos of both the pitches and the Q and A sessions 00:06:05.240 --> 00:06:07.840 from TechCrunch, and I had them transcribed. 00:06:08.520 --> 00:06:10.456 I first analyzed the transcripts 00:06:10.480 --> 00:06:14.136 by loading a dictionary of regulatory-focused terms 00:06:14.160 --> 00:06:18.216 into the Linguistic Inquiry and Word Count software called LIWC. 00:06:18.240 --> 00:06:20.856 This LIWC software generated the frequencies 00:06:20.880 --> 00:06:24.896 of promotion and prevention words in the transcribed text. 00:06:24.920 --> 00:06:26.416 As a second method, 00:06:26.440 --> 00:06:30.376 I had each of the questions and answers manually coded 00:06:30.400 --> 00:06:33.200 by the Tory Higgins Research Lab at Columbia. 00:06:34.680 --> 00:06:36.936 Regardless of the topic at hand, 00:06:36.960 --> 00:06:40.816 an intention can be framed in promotion or prevention. 00:06:40.840 --> 00:06:44.400 Let's take that topic of customers I mentioned briefly earlier. 00:06:45.200 --> 00:06:47.416 A promotion-coded question sounds like, 00:06:47.440 --> 00:06:50.776 "How many new customers do you plan to acquire this year?" 00:06:50.800 --> 00:06:53.016 while a prevention-coded one sounds like, 00:06:53.040 --> 00:06:56.360 "How do you plan to retain your existing customers?" 00:06:57.240 --> 00:06:58.576 During the same time, 00:06:58.600 --> 00:07:01.016 I also gathered background information 00:07:01.040 --> 00:07:05.096 on the start-ups and entrepreneurs that can affect their funding outcomes, 00:07:05.120 --> 00:07:08.176 like the start-up's age, quality and funding needs 00:07:08.200 --> 00:07:10.376 and the entrepreneur's past experience, 00:07:10.400 --> 00:07:14.040 so I could use these data points as controls in my analysis. NOTE Paragraph 00:07:14.840 --> 00:07:16.976 Well, the very first thing that I found 00:07:17.000 --> 00:07:21.616 is that there's no difference in the way entrepreneurs present their companies. 00:07:21.640 --> 00:07:24.736 In other words, both male and female entrepreneurs 00:07:24.760 --> 00:07:28.056 use similar degrees of promotion and prevention language 00:07:28.080 --> 00:07:29.976 in their actual pitches. 00:07:30.000 --> 00:07:33.016 So having ruled out this difference on the entrepreneur's side, 00:07:33.040 --> 00:07:35.336 I then moved on to the investor's side, 00:07:35.360 --> 00:07:38.056 analyzing the six minutes of Q&A sessions 00:07:38.080 --> 00:07:41.320 that entrepreneurs engaged in with the VCs after pitching. 00:07:42.440 --> 00:07:45.336 When examining the nearly 2,000 questions 00:07:45.360 --> 00:07:47.960 and corresponding answers in these exchanges, 00:07:49.320 --> 00:07:52.456 both of my methods showed significant support 00:07:52.480 --> 00:07:56.256 for the fact that male entrepreneurs get asked promotion questions 00:07:56.280 --> 00:07:59.200 and female entrepreneurs get asked prevention questions. 00:08:00.720 --> 00:08:05.176 In fact, a whopping 67 percent of the questions posed 00:08:05.200 --> 00:08:07.696 to male entrepreneurs were promotion-focused, 00:08:07.720 --> 00:08:12.320 while 66 percent of those posed to female entrepreneurs were prevention-focused. 00:08:13.440 --> 00:08:15.176 What's especially interesting 00:08:15.200 --> 00:08:18.616 is that I expected female VCs 00:08:18.640 --> 00:08:21.320 to behave similarly to male VCs. NOTE Paragraph 00:08:23.520 --> 00:08:27.736 Given its prevalence in the popular media and the venture-funding literature, 00:08:27.760 --> 00:08:32.176 I expected the birds-of-a-feather theory of homophily to hold here, 00:08:32.200 --> 00:08:35.456 meaning that male VCs would favor male entrepreneurs 00:08:35.480 --> 00:08:37.216 with promotion questions 00:08:37.240 --> 00:08:40.880 and female VCs would do the same for female entrepreneurs. 00:08:41.640 --> 00:08:47.056 But instead, all VCs displayed the same implicit gender bias 00:08:47.080 --> 00:08:50.656 manifested in the regulatory focus of the questions they posed 00:08:50.680 --> 00:08:52.720 to male versus female candidates. 00:08:53.400 --> 00:08:57.496 So female VCs asked male entrepreneurs promotion questions 00:08:57.520 --> 00:09:01.176 and then turned around and asked female entrepreneurs prevention questions 00:09:01.200 --> 00:09:02.840 just like the male VCs did. NOTE Paragraph 00:09:04.360 --> 00:09:07.496 So given the fact that both male and female VCs 00:09:07.520 --> 00:09:10.576 are displaying this implicit gender bias, 00:09:10.600 --> 00:09:14.480 what effect, if any, does this have on start-up funding outcomes? 00:09:15.080 --> 00:09:18.560 My research shows it has a significant effect. 00:09:19.320 --> 00:09:21.816 The regulatory focus of investor questions 00:09:21.840 --> 00:09:25.496 not only predicted how well the start-ups would perform 00:09:25.520 --> 00:09:28.176 at the TechCrunch Disrupt competitions 00:09:28.200 --> 00:09:32.560 but also how much funding the start-ups went on to raise in the open market. 00:09:33.840 --> 00:09:36.936 Those start-ups who were asked predominantly promotion questions 00:09:36.960 --> 00:09:40.056 went on to raise seven times as much funding 00:09:40.080 --> 00:09:42.040 as those asked prevention questions. 00:09:43.440 --> 00:09:45.056 But I didn't stop there. 00:09:45.080 --> 00:09:49.736 I then moved on to analyze entrepreneurs' responses to those questions, 00:09:49.760 --> 00:09:53.696 and I found that entrepreneurs are apt to respond in kind 00:09:53.720 --> 00:09:55.296 to the questions they get, 00:09:55.320 --> 00:09:58.456 meaning a promotion question begets a promotion response 00:09:58.480 --> 00:10:01.616 and a prevention question begets a prevention response. 00:10:01.640 --> 00:10:05.456 Now, this might make intuitive sense to all of us here, 00:10:05.480 --> 00:10:09.880 but it has some unfortunate consequences in this context of venture funding. 00:10:10.520 --> 00:10:12.056 So what ends up happening 00:10:12.080 --> 00:10:15.416 is that a male entrepreneur gets asked a promotion question, 00:10:15.440 --> 00:10:19.096 granting him the luxury to reinforce his association 00:10:19.120 --> 00:10:23.216 with the favorable domain of gains by responding in kind, 00:10:23.240 --> 00:10:26.576 while a female entrepreneur gets asked a prevention question 00:10:26.600 --> 00:10:29.376 and inadvertently aggravates her association 00:10:29.400 --> 00:10:33.496 with the unfavorable domain of losses by doing so. 00:10:33.520 --> 00:10:38.096 These responses then trigger venture capitalists' subsequent biased questions, 00:10:38.120 --> 00:10:42.136 and the questions and answers collectively fuel a cycle of bias 00:10:42.160 --> 00:10:45.176 that merely perpetuates the gender disparity. 00:10:45.200 --> 00:10:46.760 Pretty depressing stuff, right? NOTE Paragraph 00:10:47.960 --> 00:10:51.080 Well, fortunately, there's a silver lining to my findings. 00:10:51.960 --> 00:10:55.576 Those plucky entrepreneurs who managed to switch focus 00:10:55.600 --> 00:10:59.696 by responding to prevention questions with promotion answers 00:10:59.720 --> 00:11:02.976 went on to raise 14 times more funding 00:11:03.000 --> 00:11:05.256 than those who responded to prevention questions 00:11:05.280 --> 00:11:06.520 with prevention answers. NOTE Paragraph 00:11:07.360 --> 00:11:10.336 So what this means is that if you're asked a question 00:11:10.360 --> 00:11:13.136 about defending your start-up's market share, 00:11:13.160 --> 00:11:15.816 you'd be better served to frame your response 00:11:15.840 --> 00:11:19.736 around the size and growth potential of the overall pie 00:11:19.760 --> 00:11:24.016 as opposed to how you merely plan to protect your sliver of that pie. 00:11:24.040 --> 00:11:25.936 So if I get asked this question, 00:11:25.960 --> 00:11:27.216 I would say, 00:11:27.240 --> 00:11:29.976 "We're playing in such a large and fast-growing market 00:11:30.000 --> 00:11:32.416 that's bound to attract new entrants. 00:11:32.440 --> 00:11:35.616 We plan to take increasing share in this market 00:11:35.640 --> 00:11:38.216 by leveraging our start-up's unique assets." 00:11:38.240 --> 00:11:43.600 I've thus subtly redirected this dialogue into the favorable domain of gains. NOTE Paragraph 00:11:44.520 --> 00:11:48.576 Now, these results are quite compelling among start-ups that launched at TechCrunch 00:11:48.600 --> 00:11:52.576 but field data can merely tell us that there's a correlational relationship 00:11:52.600 --> 00:11:55.016 between regulatory focus and funding. 00:11:55.040 --> 00:11:58.896 So I sought to see whether this difference in regulatory focus 00:11:58.920 --> 00:12:01.536 can actually cause funding outcomes 00:12:01.560 --> 00:12:03.776 by running a controlled experiment 00:12:03.800 --> 00:12:06.160 on both angel investors and ordinary people. 00:12:06.760 --> 00:12:09.536 Simulating the TechCrunch Disrupt environment, 00:12:09.560 --> 00:12:13.816 I had participants listen to four six-minute audio files 00:12:13.840 --> 00:12:16.536 of 10 question-and-answer exchanges 00:12:16.560 --> 00:12:19.816 that were manipulated for promotion and prevention language, 00:12:19.840 --> 00:12:22.079 and then asked them to allocate a sum of funding 00:12:22.103 --> 00:12:23.863 to each venture as they saw fit. NOTE Paragraph 00:12:24.360 --> 00:12:28.976 Well, my experimental results reinforced my findings from the field. 00:12:29.000 --> 00:12:32.976 Those scenarios where entrepreneurs were asked promotion questions 00:12:33.000 --> 00:12:35.536 received twice the funding allocations 00:12:35.560 --> 00:12:38.440 of those where entrepreneurs were asked prevention questions. 00:12:39.480 --> 00:12:41.456 What's especially promising 00:12:41.480 --> 00:12:44.896 is the fact that those scenarios where entrepreneurs switched 00:12:44.920 --> 00:12:48.576 as opposed to matched focus when they received prevention questions 00:12:48.600 --> 00:12:52.840 received significantly more funding from both sets of participants. NOTE Paragraph 00:12:54.000 --> 00:12:56.856 So to my female entrepreneurs out there, 00:12:56.880 --> 00:12:59.576 here are a couple simple things you could do. 00:12:59.600 --> 00:13:02.976 The first is to recognize the question you're being asked. 00:13:03.000 --> 00:13:05.776 Are you getting a prevention question? 00:13:05.800 --> 00:13:09.896 If this is the case, answer the question at hand by all means, 00:13:09.920 --> 00:13:12.656 but merely frame your response in promotion 00:13:12.680 --> 00:13:16.880 in an effort to garner higher amounts of funding for your start-ups. NOTE Paragraph 00:13:17.880 --> 00:13:20.336 The unfortunate reality, though, 00:13:20.360 --> 00:13:23.256 is that both men and women evaluating start-ups 00:13:23.280 --> 00:13:26.856 display the same implicit gender bias in their questioning, 00:13:26.880 --> 00:13:30.320 inadvertently favoring male entrepreneurs over female ones. 00:13:31.360 --> 00:13:33.456 So to my investors out there, 00:13:33.480 --> 00:13:37.296 I would offer that you have an opportunity here 00:13:37.320 --> 00:13:40.816 to approach Q&A sessions more even-handedly, 00:13:40.840 --> 00:13:43.296 not just so that you could do the right thing, 00:13:43.320 --> 00:13:47.280 but so that you can improve the quality of your decision making. 00:13:48.480 --> 00:13:52.176 By flashing the same light on every start-up's potential 00:13:52.200 --> 00:13:54.056 for gains and losses, 00:13:54.080 --> 00:13:57.016 you enable all deserving start-ups to shine 00:13:57.040 --> 00:13:59.600 and you maximize returns in the process. NOTE Paragraph 00:14:00.800 --> 00:14:03.936 Today, I get to be that girl 00:14:03.960 --> 00:14:05.936 walking by the pool, 00:14:05.960 --> 00:14:07.496 sounding the alarm 00:14:07.520 --> 00:14:10.120 that something is going on beneath the surface. 00:14:11.040 --> 00:14:14.776 Together, we have the power to break this cycle 00:14:14.800 --> 00:14:17.240 of implicit gender bias in start-up funding. 00:14:18.200 --> 00:14:21.016 Let's give the most promising start-ups, 00:14:21.040 --> 00:14:24.376 regardless of whether they're led by men or women, 00:14:24.400 --> 00:14:28.136 a fighting chance to grow and thrive. NOTE Paragraph 00:14:28.160 --> 00:14:29.456 Thank you. NOTE Paragraph 00:14:29.480 --> 00:14:35.040 (Applause)