WEBVTT 00:00:00.000 --> 00:00:03.500 What if the smoothest, most agreeable meeting 00:00:03.500 --> 00:00:07.099 you had today was actually a complete failure? 00:00:07.280 --> 00:00:08.900 I mean, that's a wild thought, right? Because 00:00:08.900 --> 00:00:10.599 we usually love those meetings. Right. Think 00:00:10.599 --> 00:00:12.539 about it. Everyone just nodded. No one stepped 00:00:12.539 --> 00:00:16.559 on any toes. And you reached consensus in what, 00:00:16.600 --> 00:00:18.420 10 minutes flat? And you walk out feeling like, 00:00:18.420 --> 00:00:22.190 wow. We are incredibly efficient. Exactly. It 00:00:22.190 --> 00:00:25.370 feels great. But according to the research we're 00:00:25.370 --> 00:00:28.370 digging into today, that exact lack of friction 00:00:28.370 --> 00:00:31.429 might actually be blinding your team to critical 00:00:31.429 --> 00:00:33.850 missing information. Yeah, it completely flips 00:00:33.850 --> 00:00:36.270 the script on what we consider a successful dynamic. 00:00:36.429 --> 00:00:39.210 It really does. So welcome to the deep dive. 00:00:39.609 --> 00:00:44.179 Our mission today is to unpack this really thought 00:00:44.179 --> 00:00:46.359 -provoking talk by Laurie Nashirah Mackenzie. 00:00:46.780 --> 00:00:49.820 It's called The Power of Our Collective, Reimagining 00:00:49.820 --> 00:00:52.399 Inclusion. And for anyone who, you know, wants 00:00:52.399 --> 00:00:56.259 to be well informed on team dynamics and organizational 00:00:56.259 --> 00:00:59.490 behavior, But maybe without drowning in academic 00:00:59.490 --> 00:01:01.250 papers, this is perfect. Yeah, we're going to 00:01:01.250 --> 00:01:03.789 look closely at her arguments because she systematically 00:01:03.789 --> 00:01:05.769 challenges all this conventional wisdom about 00:01:05.769 --> 00:01:07.769 what a highly functioning group actually looks 00:01:07.769 --> 00:01:10.989 like. It is a fascinating analysis because it 00:01:10.989 --> 00:01:13.549 forces us to examine the foundational metrics 00:01:13.549 --> 00:01:16.750 of success. I mean, we are trained to view harmony 00:01:16.750 --> 00:01:19.609 as the ultimate indicator of a healthy environment. 00:01:19.890 --> 00:01:21.569 Right. Like if everyone's smiling, we're doing 00:01:21.569 --> 00:01:25.420 it right. Exactly. But Laurie's perspective proposes 00:01:25.420 --> 00:01:29.340 that true inclusion is not about comfort at all. 00:01:29.719 --> 00:01:32.079 In fact, she argues it's inherently designed 00:01:32.079 --> 00:01:34.900 to be, well, somewhat difficult. And to understand 00:01:34.900 --> 00:01:36.640 why she makes that argument, we kind of need 00:01:36.640 --> 00:01:39.319 to look at the personal story she uses to ground 00:01:39.319 --> 00:01:41.920 her whole thesis. Yeah, it's a really powerful 00:01:41.920 --> 00:01:44.120 starting point. It is. So she describes being 00:01:44.120 --> 00:01:46.099 just six years old, walking to the local library 00:01:46.099 --> 00:01:48.340 with her mother, and it's just this perfectly 00:01:48.340 --> 00:01:51.640 normal happy day. Right. Nothing out of the ordinary. 00:01:51.780 --> 00:01:54.180 Yeah, but then this car drives by and it slows 00:01:54.180 --> 00:01:56.980 down and the men inside lean out the window and 00:01:56.980 --> 00:01:59.319 start making these like mocking fake Chinese 00:01:59.319 --> 00:02:02.959 noises at her. It's a jarring illustration of 00:02:02.959 --> 00:02:06.319 how certainly the external world can impose this 00:02:06.319 --> 00:02:08.340 this narrative on you. Exactly. And the reaction 00:02:08.340 --> 00:02:10.139 from her mother, who, by the way, Laurie describes 00:02:10.139 --> 00:02:13.039 as a very gentle person, her reaction was immediate. 00:02:13.259 --> 00:02:15.500 What did she do? Without missing a beat, her 00:02:15.500 --> 00:02:18.259 mother gave those men the bird. Oh, wow. Yeah. 00:02:18.360 --> 00:02:20.080 just flick them off right there on the street. 00:02:20.479 --> 00:02:23.639 And for a six -year -old Lori, this crystallized 00:02:23.639 --> 00:02:27.400 two huge things. Which were? First, that simply 00:02:27.400 --> 00:02:29.800 based on physical appearance, you know, some 00:02:29.800 --> 00:02:32.099 people just flat out refuse to see you for who 00:02:32.099 --> 00:02:34.979 you are. And second, you always have the agency 00:02:34.979 --> 00:02:38.060 to stand up against that discrimination. What's 00:02:38.060 --> 00:02:40.500 fascinating here is how this childhood realization 00:02:40.500 --> 00:02:43.800 scales into broader societal patterns. Yeah, 00:02:43.900 --> 00:02:46.400 how so? Well, Lori points out that while she 00:02:46.400 --> 00:02:50.240 learned this at six, many individuals, particularly 00:02:50.240 --> 00:02:52.659 in the black community, encounter this reality 00:02:52.659 --> 00:02:55.139 at a much younger age. Right. It's not always 00:02:55.139 --> 00:02:57.419 a dramatic street encounter either. Exactly. 00:02:57.599 --> 00:03:00.400 Or for others, the realization might happen in 00:03:00.400 --> 00:03:03.259 a classroom, you know, like when a student enthusiastically 00:03:03.259 --> 00:03:05.800 raises their hand and the teacher just systematically 00:03:05.800 --> 00:03:08.419 ignores them in favor of other kids. Yeah, that 00:03:08.419 --> 00:03:11.060 feeling of just being invisible. Right. And Laurie 00:03:11.060 --> 00:03:13.680 uses these lived experiences of being unseen 00:03:13.680 --> 00:03:16.879 or underestimated as a starting point for debunking 00:03:16.879 --> 00:03:19.259 three specific myths about corporate inclusion. 00:03:19.639 --> 00:03:21.719 OK, let's unpack this, because if the starting 00:03:21.719 --> 00:03:24.419 point is acknowledging that these biases exist, 00:03:24.960 --> 00:03:28.000 then Laurie's framework requires us to totally 00:03:28.000 --> 00:03:31.259 rethink the end goal of bringing people together. 00:03:31.439 --> 00:03:34.039 Which leads directly into the first major myth 00:03:34.039 --> 00:03:37.879 she tackles, this idea that Inclusion equals 00:03:37.879 --> 00:03:40.659 ease. Yeah, because we assume the goal is a room 00:03:40.659 --> 00:03:42.919 full of people getting along perfectly. Right. 00:03:44.120 --> 00:03:46.599 We think smooth sailing means we're doing great. 00:03:47.840 --> 00:03:50.419 But to dismantle that myth... Laurie turns to 00:03:50.419 --> 00:03:53.139 this landmark study by the late researcher Catherine 00:03:53.139 --> 00:03:55.979 Phillips, who investigated jury deliberations. 00:03:56.479 --> 00:03:58.740 Oh, juries. That's a super high stakes environment. 00:03:58.900 --> 00:04:01.159 Highly pressured, very consequential decisions. 00:04:01.259 --> 00:04:03.560 The setting is crucial here. And in the U .S. 00:04:03.620 --> 00:04:05.659 legal system, the attorneys are the ones selecting 00:04:05.659 --> 00:04:07.800 the jury, which means you can end up with vastly 00:04:07.800 --> 00:04:10.180 different compositions. Exactly. Sometimes you 00:04:10.180 --> 00:04:12.139 get a highly homogeneous jury where everyone 00:04:12.139 --> 00:04:14.060 shares a similar background, and sometimes you 00:04:14.060 --> 00:04:16.259 get a highly diverse jury. OK, so what did the 00:04:16.259 --> 00:04:19.259 researchers actually do? Well, They wanted to 00:04:19.259 --> 00:04:22.100 observe if the composition of the jury fundamentally 00:04:22.100 --> 00:04:24.279 changed the mechanics of how they deliberated. 00:04:24.379 --> 00:04:26.319 And what did they find? The initial data point 00:04:26.319 --> 00:04:30.100 they found seems on the surface like an argument 00:04:30.100 --> 00:04:32.819 against diversity. The diverse juries actually 00:04:32.819 --> 00:04:35.120 took significantly longer to deliberate than 00:04:35.120 --> 00:04:37.300 the homogenous ones. Wait, really? Because if 00:04:37.300 --> 00:04:39.680 an organization is purely optimizing for speed 00:04:39.680 --> 00:04:42.740 and efficiency, taking longer sounds like a structural 00:04:42.740 --> 00:04:45.819 flaw. It does. But taking longer isn't a flaw 00:04:45.819 --> 00:04:49.199 if the output is better. Ah. So what did they 00:04:49.199 --> 00:04:51.339 find when they looked at the actual quality of 00:04:51.339 --> 00:04:53.819 the decisions? They found that taking longer 00:04:53.819 --> 00:04:55.959 was actually a feature of the diverse group, 00:04:56.079 --> 00:04:58.879 not a bug. They evaluated whether the juries 00:04:58.879 --> 00:05:01.660 made factual errors when reviewing the evidence. 00:05:01.860 --> 00:05:04.540 And the data showed that the diverse juries made 00:05:04.540 --> 00:05:08.060 significantly fewer mistakes. But, and this is 00:05:08.060 --> 00:05:09.980 the key part, the underlying mechanism is what 00:05:09.980 --> 00:05:12.319 makes this study so important. What were they 00:05:12.319 --> 00:05:14.800 doing differently? The diverse juries were uniquely 00:05:14.800 --> 00:05:17.300 capable of noticing missing information. For 00:05:17.300 --> 00:05:19.560 example, they'd examine the records and realize, 00:05:19.759 --> 00:05:21.899 hey, the documentation states there were three 00:05:21.899 --> 00:05:24.720 eyewitnesses to this event. But we've only been 00:05:24.720 --> 00:05:26.779 provided testimony from two of them. Where is 00:05:26.779 --> 00:05:30.079 the third? Oh, wow. And the homogenous juries 00:05:30.079 --> 00:05:33.240 just missed that. Routinely. They were moving 00:05:33.240 --> 00:05:36.139 quickly and comfortably, so they routinely failed 00:05:36.139 --> 00:05:39.720 to catch that missing data. I have to push back 00:05:39.720 --> 00:05:42.560 on the mechanics of that, though. Like, is it 00:05:42.560 --> 00:05:45.720 possible the diverse jury just happened to possess 00:05:45.959 --> 00:05:48.120 different external knowledge. What do you mean? 00:05:48.540 --> 00:05:50.839 Like, did they just know the neighborhood better 00:05:50.839 --> 00:05:53.860 or understand a specific cultural context that 00:05:53.860 --> 00:05:56.160 gave them, you know, inside information about 00:05:56.160 --> 00:05:58.899 the crime? No, and that is the most critical 00:05:58.899 --> 00:06:00.899 takeaway from Catherine Phillips's research. 00:06:01.639 --> 00:06:04.740 The diverse juries did not possess secret inside 00:06:04.740 --> 00:06:07.139 knowledge about the case. Then why were they 00:06:07.139 --> 00:06:09.759 so much sharper? The underlying mechanism that 00:06:09.759 --> 00:06:11.819 improved their performance was simply the presence 00:06:11.819 --> 00:06:14.839 of dissent. Dissent. Just disagreeing. Yeah. 00:06:15.050 --> 00:06:17.149 Think about it. When you're sitting in a room 00:06:17.149 --> 00:06:19.769 with people who share your background, your brain 00:06:19.769 --> 00:06:22.850 relies on cognitive shorthand. You assume a baseline 00:06:22.850 --> 00:06:25.310 consensus which allows you to coast. Right. You 00:06:25.310 --> 00:06:27.889 just sort of nod along. Exactly. But when you're 00:06:27.889 --> 00:06:29.970 in a room with people who are demonstrably different 00:06:29.970 --> 00:06:32.990 from you and they start asking questions, it 00:06:32.990 --> 00:06:35.350 introduces cognitive friction. It wakes you up. 00:06:35.569 --> 00:06:38.350 Literally. Hearing dissent from someone with 00:06:38.350 --> 00:06:41.290 a different perspective forces your brain to 00:06:41.290 --> 00:06:44.029 wake up and reevaluate the evidence more rigorously. 00:06:44.199 --> 00:06:46.720 It makes me think about physical training. Like, 00:06:46.720 --> 00:06:49.019 if you go to the gym and lift a weight that offers 00:06:49.019 --> 00:06:51.560 absolutely zero resistance, your muscles aren't 00:06:51.560 --> 00:06:53.920 actually getting stronger. Right. You're just 00:06:53.920 --> 00:06:55.939 panting and going through the motions. Yeah. 00:06:56.120 --> 00:06:59.439 You're just wasting time. Laurie's argument suggests 00:06:59.439 --> 00:07:01.779 that inclusion isn't about creating a smooth 00:07:01.779 --> 00:07:04.699 ride. It's about introducing constructive friction. 00:07:05.319 --> 00:07:07.779 The resistance is what builds the intellectual 00:07:07.779 --> 00:07:10.860 muscle of the group. That is a highly accurate 00:07:10.860 --> 00:07:13.199 way to conceptualize the cognitive science behind 00:07:13.199 --> 00:07:16.439 it. Growth and rigorous analysis happen in the 00:07:16.439 --> 00:07:18.699 space of discomfort. So, according to the framework 00:07:18.699 --> 00:07:21.800 presented in the talk, how do organizations mechanically 00:07:21.800 --> 00:07:24.959 apply this? Laurie suggests two actionable shifts. 00:07:25.420 --> 00:07:27.939 The first is altering meeting norms. You know, 00:07:28.120 --> 00:07:30.879 norms are just the habitual unspoken rules of 00:07:30.879 --> 00:07:33.139 engagement. Like letting a meeting just naturally 00:07:33.139 --> 00:07:35.740 rush toward a comfortable consensus. Exactly. 00:07:36.220 --> 00:07:38.569 Instead of doing that, Leaders must explicitly 00:07:38.569 --> 00:07:41.350 design a norm that mandates dissent. Meaning 00:07:41.350 --> 00:07:44.610 you literally have to ask for the friction. Yes. 00:07:45.129 --> 00:07:47.990 Before finalizing any major decision, the person 00:07:47.990 --> 00:07:50.810 running the meeting should ask, can anyone provide 00:07:50.810 --> 00:07:54.509 one solid, evidence -based reason why we should 00:07:54.509 --> 00:07:56.569 not move forward with this? Oh, that's smart. 00:07:57.189 --> 00:07:59.790 By formalizing the question, you completely remove 00:07:59.790 --> 00:08:02.009 the social penalty for disagreeing. You make 00:08:02.009 --> 00:08:05.189 it part of the job. And the second shift involves 00:08:05.189 --> 00:08:07.899 mindful listening. What does the data say about 00:08:07.899 --> 00:08:10.759 that? Well, Laurie cites organizational research 00:08:10.759 --> 00:08:13.019 demonstrating that in a standard group of eight 00:08:13.019 --> 00:08:15.339 people, just three of those individuals will 00:08:15.339 --> 00:08:18.579 dominate 67 % of the speaking time. Which honestly 00:08:18.579 --> 00:08:20.439 isn't surprising to anyone who has ever worked 00:08:20.439 --> 00:08:23.060 in a corporate environment, right? The loudest 00:08:23.060 --> 00:08:25.560 voices naturally expand to fill the available 00:08:25.560 --> 00:08:27.879 space. Absolutely. But the question is how to 00:08:27.879 --> 00:08:30.339 mechanically dismantle that dynamic. According 00:08:30.339 --> 00:08:33.679 to Laurie, inclusion means fundamentally redefining 00:08:33.679 --> 00:08:36.679 how we measure participation. It's not about 00:08:36.679 --> 00:08:39.200 rewarding the people who are simply the quickest 00:08:39.200 --> 00:08:41.580 to speak. Because quick doesn't always mean correct. 00:08:42.000 --> 00:08:45.440 Right. It requires the meeting facilitator to 00:08:45.440 --> 00:08:48.340 actively manage the airtime, deliberately making 00:08:48.340 --> 00:08:51.460 space for the quieter voices. Because those are 00:08:51.460 --> 00:08:53.919 often the voices holding the positive dissent 00:08:53.919 --> 00:08:56.139 that will ultimately make the final decision 00:08:56.139 --> 00:08:59.159 more robust. Okay, so if we accept the premise 00:08:59.159 --> 00:09:02.100 that cognitive friction and dissenting voices 00:09:02.100 --> 00:09:06.220 make a team demonstrably smarter. If they're 00:09:06.220 --> 00:09:08.440 the key to finding that missing third eyewitness, 00:09:08.919 --> 00:09:11.720 why are those specific voices so frequently filtered 00:09:11.720 --> 00:09:13.559 out before they even get a seat at the table? 00:09:13.759 --> 00:09:16.039 That is the big question. And it leads us straight 00:09:16.039 --> 00:09:19.289 into Laurie's second myth. This widespread belief 00:09:19.289 --> 00:09:22.850 that professionalism is a purely empirical objective 00:09:22.850 --> 00:09:25.490 standard. Oh, this is a deeply entrenched concept 00:09:25.490 --> 00:09:28.110 in corporate culture. Organizations operate on 00:09:28.110 --> 00:09:29.970 the assumption that their standards for evaluating 00:09:29.970 --> 00:09:32.629 talent and work product are completely neutral 00:09:32.629 --> 00:09:34.990 and merit based. Right. And Laurie shares this 00:09:34.990 --> 00:09:37.789 fascinating study about evaluating legal briefs 00:09:37.789 --> 00:09:39.909 that completely dismantles that assumption. Oh, 00:09:39.909 --> 00:09:42.149 the legal brief study is incredible. It really 00:09:42.149 --> 00:09:45.789 is. So the researchers created a single standardized 00:09:45.789 --> 00:09:48.779 legal brief. allegedly written by a third -year 00:09:48.779 --> 00:09:51.919 law associate. Crucially, they intentionally 00:09:51.919 --> 00:09:54.559 seeded this document with a specific number of 00:09:54.559 --> 00:09:56.980 errors. Like what kind of errors? Typographical 00:09:56.980 --> 00:10:00.399 mistakes, factual inaccuracies, and logical flaws. 00:10:00.500 --> 00:10:03.820 Just a real mix. They then sent this exact same 00:10:03.820 --> 00:10:07.200 brief to multiple law partners for evaluation. 00:10:07.740 --> 00:10:09.899 The methodology here is brilliant because they 00:10:09.899 --> 00:10:13.299 isolated a single variable. Exactly. Half of 00:10:13.299 --> 00:10:15.539 the law partners received the brief with a cover 00:10:15.539 --> 00:10:18.019 letter, subtly implying the author was a white 00:10:18.019 --> 00:10:19.879 associate. And the other half? The other half 00:10:19.879 --> 00:10:22.159 received the identical brief, but the cover letter 00:10:22.159 --> 00:10:24.679 implied the author was an African -American associate. 00:10:25.000 --> 00:10:27.080 Now, if I am playing devil's advocate here, I 00:10:27.080 --> 00:10:30.580 have to ask how bias can possibly alter the evaluation 00:10:30.580 --> 00:10:32.860 of a standardized document. Right, because a 00:10:32.860 --> 00:10:35.659 typo is an empirical fact. A legal error either 00:10:35.659 --> 00:10:37.580 exists on the page or it doesn't. Shouldn't the 00:10:37.580 --> 00:10:39.600 work product just stand on its own objective 00:10:39.600 --> 00:10:42.309 merit? If we connect this to the bigger picture 00:10:42.309 --> 00:10:46.350 we see why it doesn't. If human beings operated 00:10:46.350 --> 00:10:49.809 like algorithms, yes. But human psychology relies 00:10:49.809 --> 00:10:52.350 heavily on heuristics, you know, mental shortcuts. 00:10:52.789 --> 00:10:55.590 Ah, so confirmation bias comes into play. Exactly. 00:10:56.149 --> 00:10:58.389 Preconceived notions don't just change our final 00:10:58.389 --> 00:11:01.629 opinion. They dictate the actual level of scrutiny 00:11:01.629 --> 00:11:03.990 we apply to a task. Wait, so they actually graded 00:11:03.990 --> 00:11:06.389 them differently? Yes. The study found that the 00:11:06.389 --> 00:11:08.269 partners who believed they were reading a brief 00:11:08.269 --> 00:11:10.789 written by an African -American associate found 00:11:10.789 --> 00:11:13.549 significantly more of the exact same intentionally 00:11:13.549 --> 00:11:16.950 planted errors. because they unconsciously expected 00:11:16.950 --> 00:11:19.909 a lower quality of work, so their brains actively 00:11:19.909 --> 00:11:23.289 hunted for flaws. Bingo. Consequently, they scored 00:11:23.289 --> 00:11:25.730 the exact same documents significantly lower 00:11:25.730 --> 00:11:27.590 than the partners who believed a white associate 00:11:27.590 --> 00:11:30.480 had written it. So the bias acts as a... literal 00:11:30.480 --> 00:11:33.100 magnifying glass. Yeah, the expectation of a 00:11:33.100 --> 00:11:35.740 flaw structurally alters how the evaluator reads 00:11:35.740 --> 00:11:38.240 the document. That's terrifying, honestly. If 00:11:38.240 --> 00:11:40.340 our definition of professionalism is that susceptible 00:11:40.340 --> 00:11:43.059 to unconscious bias, what does Laurie propose 00:11:43.059 --> 00:11:46.019 as a solution for evaluating talent? Her argument 00:11:46.019 --> 00:11:48.779 is that organizations must aggressively interrogate 00:11:48.779 --> 00:11:52.419 the vague gatekeeping terminology they use during 00:11:52.419 --> 00:11:55.240 performance reviews and hiring. Oh, think about 00:11:55.240 --> 00:11:58.759 how often talent is evaluated using phrases like 00:11:58.759 --> 00:12:02.600 executive presence or gravitas. Right. Someone 00:12:02.600 --> 00:12:04.919 gets passed over for a promotion because leadership 00:12:04.919 --> 00:12:07.759 claims they just lack executive presence. But 00:12:07.759 --> 00:12:10.220 like, what does that actually mean on a measurable 00:12:10.220 --> 00:12:13.019 level? Laurie argues that often these terms are 00:12:13.019 --> 00:12:16.039 simply coded language. It really just means this 00:12:16.039 --> 00:12:19.120 person does not look, speak or act like the leaders 00:12:19.120 --> 00:12:21.419 we have historically promoted. It's just a mirror 00:12:21.419 --> 00:12:24.289 for the status quo. Exactly. To counter this, 00:12:24.610 --> 00:12:26.830 she suggests organizations need to shift toward 00:12:26.830 --> 00:12:29.889 what psychologist Carol Dweck calls a growth 00:12:29.889 --> 00:12:32.049 mindset. Let's unpack the mechanics of that, 00:12:32.230 --> 00:12:34.169 because growth mindset is a term that gets thrown 00:12:34.169 --> 00:12:36.570 around a lot in corporate seminars. But how does 00:12:36.570 --> 00:12:39.929 it specifically apply to dismantling biased professionalism? 00:12:40.190 --> 00:12:42.750 Well, in traditional hiring, organizations often 00:12:42.750 --> 00:12:45.049 operate with a fixed mindset, meaning they look 00:12:45.049 --> 00:12:46.980 for a finished product. They just look at the 00:12:46.980 --> 00:12:49.860 endpoint, like, did this candidate attend a prestigious 00:12:49.860 --> 00:12:53.259 university? Do they possess a specific, polished 00:12:53.259 --> 00:12:56.539 communication style? Right. A growth mindset, 00:12:56.720 --> 00:12:59.580 however, operates on the belief that skills and 00:12:59.580 --> 00:13:03.200 capabilities are dynamic. When evaluating a candidate, 00:13:03.639 --> 00:13:05.500 you don't just look at their current coordinates, 00:13:06.000 --> 00:13:07.840 you evaluate their trajectory. So it's about 00:13:07.840 --> 00:13:11.320 the journey. Yes. Laurie argues that evaluators 00:13:11.320 --> 00:13:14.860 need to ask, what specific systemic barriers 00:13:14.860 --> 00:13:17.580 did this individual have to overcome simply to 00:13:17.580 --> 00:13:20.340 get to this interview chair? Wow, that completely 00:13:20.340 --> 00:13:22.679 changes the framing. It does. When you value 00:13:22.679 --> 00:13:24.840 the resilience, the adaptability, and the distance 00:13:24.840 --> 00:13:27.720 traveled, you stop allowing narrow, subjective 00:13:27.720 --> 00:13:30.679 definitions of professionalism to blind you to 00:13:30.679 --> 00:13:32.940 a highly capable talent. That makes perfect sense. 00:13:33.279 --> 00:13:36.100 So let's follow the logical progression of Laurie's 00:13:36.100 --> 00:13:38.740 framework here. An organization adopts this growth 00:13:38.740 --> 00:13:41.259 mindset. They successfully bypass their own biases 00:13:41.259 --> 00:13:43.559 and bring these diverse, dissenting voices into 00:13:43.559 --> 00:13:45.200 the room. Now they get them in the door. But 00:13:45.200 --> 00:13:47.360 how does the organization actually support them 00:13:47.360 --> 00:13:49.700 once they're there? Which brings us to the third 00:13:49.700 --> 00:13:53.870 myth. The more is better trap. Ah, yes. This 00:13:53.870 --> 00:13:56.090 is the assumption that the most effective way 00:13:56.090 --> 00:13:59.409 to foster inclusion is through broad overarching 00:13:59.409 --> 00:14:01.950 diversity initiatives. It's basically the default 00:14:01.950 --> 00:14:04.750 setting for many large organizations. The instinct 00:14:04.750 --> 00:14:08.110 is to cast the widest net possible, creating 00:14:08.110 --> 00:14:11.129 massive generalized programs under the assumption 00:14:11.129 --> 00:14:14.289 that, you know, a rising tide lifts all boats. 00:14:14.710 --> 00:14:16.730 Here's where it gets really interesting, though. 00:14:17.190 --> 00:14:19.570 Laurie points out that relying on massive data 00:14:19.570 --> 00:14:22.549 sets creates dangerous blind spots. What kind 00:14:22.549 --> 00:14:24.870 of data is she looking at? She cites a Google 00:14:24.870 --> 00:14:27.250 technical workforce report to illustrate this. 00:14:27.389 --> 00:14:29.889 According to the data she highlights, less than 00:14:29.889 --> 00:14:31.970 half a percent of Google's technical workforce 00:14:31.970 --> 00:14:34.330 are Black women and less than one percent are 00:14:34.330 --> 00:14:37.049 Latinx women. Those are tiny percentages. Exactly. 00:14:37.490 --> 00:14:39.370 If an organization looks at those microscopic 00:14:39.370 --> 00:14:41.490 numbers and decides the solution is to group 00:14:41.490 --> 00:14:44.029 them into a massive generalized women's employee 00:14:44.029 --> 00:14:46.490 resource group simply because more is better, 00:14:46.929 --> 00:14:49.710 they are entirely ignoring the highly specific 00:14:49.710 --> 00:14:52.370 realities those individuals face. Right. Because 00:14:52.370 --> 00:14:55.559 when you aggregate data at that scale, the unique 00:14:55.559 --> 00:14:58.600 experiences of the extreme minority are completely 00:14:58.600 --> 00:15:02.120 washed out by the majority within that same demographic 00:15:02.120 --> 00:15:05.179 group. It's like using a giant paint roller to 00:15:05.179 --> 00:15:07.799 touch up a really highly detailed portrait. That's 00:15:07.799 --> 00:15:09.840 a great analogy. Yeah, sure, you cover a lot 00:15:09.840 --> 00:15:12.320 of canvas quickly, but you completely obliterate 00:15:12.320 --> 00:15:15.220 the fine details. It's like a hospital deciding 00:15:15.220 --> 00:15:18.179 to prescribe a broad spectrum antibiotic. to 00:15:18.179 --> 00:15:20.840 every single patient in the building just to 00:15:20.840 --> 00:15:23.519 save time. Right. Sure, it might accidentally 00:15:23.519 --> 00:15:26.139 cure a few people with generic infections, but 00:15:26.139 --> 00:15:30.259 it completely ignores the highly specific, sometimes 00:15:30.259 --> 00:15:32.740 critical diagnoses of the individual patients. 00:15:32.919 --> 00:15:35.360 The broad approach actually becomes a form of 00:15:35.360 --> 00:15:37.519 medical or, in this case, corporate neglect. 00:15:37.919 --> 00:15:40.220 That is a very precise way to understand the 00:15:40.220 --> 00:15:42.919 mechanism of failure here. And to prove why the 00:15:42.919 --> 00:15:45.279 broad spectrum approach fails, Laurie brings 00:15:45.279 --> 00:15:47.799 in research conducted by Anita Rattan and Carol 00:15:47.799 --> 00:15:49.679 Dweck at the London Business School. Okay, what 00:15:49.679 --> 00:15:52.500 did they look at? They surveyed over 400 African 00:15:52.500 --> 00:15:55.419 -American employees across various organizations. 00:15:55.559 --> 00:15:57.919 And what did the data reveal? The data revealed 00:15:57.919 --> 00:16:01.799 that 67 % of these employees reported spending 00:16:01.799 --> 00:16:04.639 a portion of their workday actively dealing with 00:16:04.639 --> 00:16:09.279 racial comments. 67 %? That is wild. And the 00:16:09.279 --> 00:16:11.700 research makes clear these were not just subtle 00:16:11.700 --> 00:16:14.600 misunderstandings. They included overt stereotypes, 00:16:15.360 --> 00:16:18.320 assumptions of laziness, racial slurs, and baseless 00:16:18.320 --> 00:16:21.100 references to criminality. Which means these 00:16:21.100 --> 00:16:23.399 employees are essentially working a second shift. 00:16:23.620 --> 00:16:26.039 Exactly. They are expending massive amounts of 00:16:26.039 --> 00:16:28.759 cognitive and emotional energy navigating hostility 00:16:28.759 --> 00:16:31.539 while simultaneously just trying to perform their 00:16:31.539 --> 00:16:33.960 actual job duties. And that emotional labor is 00:16:33.960 --> 00:16:36.970 exactly what drives turnover. However, the study 00:16:36.970 --> 00:16:39.590 also identified a mechanical lever for improvement. 00:16:39.690 --> 00:16:42.289 What was it? They found that when organizational 00:16:42.289 --> 00:16:45.230 leaders actively and specifically addressed those 00:16:45.230 --> 00:16:48.009 incidents, when they didn't just release a generic 00:16:48.009 --> 00:16:50.950 statement about corporate values, but explicitly 00:16:50.950 --> 00:16:53.210 tackle the specific racial bias occurring in 00:16:53.210 --> 00:16:55.929 their teams, the retention rates for those marginalized 00:16:55.929 --> 00:16:59.179 employees increased. Let's explore the why behind 00:16:59.179 --> 00:17:01.659 that data point. Why does addressing the specific 00:17:01.659 --> 00:17:03.820 comment directly move the needle on retention? 00:17:04.299 --> 00:17:06.779 Psychologically, it restores a sense of psychological 00:17:06.779 --> 00:17:10.359 safety and validates the employee's lived reality. 00:17:10.480 --> 00:17:13.619 It makes them feel seen. Exactly. When leadership 00:17:13.619 --> 00:17:16.579 acknowledges a specific harm, it shifts the burden 00:17:16.579 --> 00:17:19.180 of managing that toxic environment off the individual 00:17:19.180 --> 00:17:21.859 employee. and places it onto the organization 00:17:21.859 --> 00:17:25.180 where it belongs. So what's the actionable takeaway 00:17:25.180 --> 00:17:28.880 Lori extracts from this research? She says organizations 00:17:28.880 --> 00:17:31.380 must radically shift their feedback mechanisms. 00:17:32.039 --> 00:17:34.440 Instead of relying solely on massive, anonymous, 00:17:34.599 --> 00:17:36.940 company -wide surveys that round out the margins, 00:17:37.720 --> 00:17:39.920 leadership must conduct specific focus groups 00:17:39.920 --> 00:17:42.740 and targeted one -on -one interviews. They have 00:17:42.740 --> 00:17:44.980 to ask the difficult questions to understand 00:17:44.980 --> 00:17:47.359 the daily frictions experienced by the less than 00:17:47.359 --> 00:17:50.319 1%. And according to Lori, They have to be prepared 00:17:50.319 --> 00:17:52.980 to confront some very ugly realities that emerge 00:17:52.980 --> 00:17:55.220 from those targeted conversations. Like what? 00:17:55.480 --> 00:17:57.460 It means addressing the fact that a black software 00:17:57.460 --> 00:17:59.339 engineer might be asked to clear away dishes 00:17:59.339 --> 00:18:02.240 in the corporate cafeteria. Or that Latinx women 00:18:02.240 --> 00:18:04.500 in senior roles are continually asked if they 00:18:04.500 --> 00:18:07.539 are part of the cleaning staff. Wow. You definitely 00:18:07.539 --> 00:18:10.480 cannot fix highly specific stereotyping like 00:18:10.480 --> 00:18:13.259 that with a generic empowerment seminar. No, 00:18:13.259 --> 00:18:15.839 you can't. Laurie's proposed solution to this 00:18:15.839 --> 00:18:18.660 is engaging with initiatives like the IM movement. 00:18:18.839 --> 00:18:21.799 What is that? This is a structured exercise utilized 00:18:21.799 --> 00:18:24.440 in organizational psychology, where individuals 00:18:24.440 --> 00:18:27.039 are encouraged to articulate their multifaceted 00:18:27.039 --> 00:18:29.299 identities to their colleagues. How does that 00:18:29.299 --> 00:18:31.480 actually work in practice? Like, what is the 00:18:31.480 --> 00:18:34.920 mechanism of the I Am exercise? In a facilitated 00:18:34.920 --> 00:18:37.720 setting, employees share statements that embrace 00:18:37.720 --> 00:18:40.440 their full complexity. For example, someone might 00:18:40.440 --> 00:18:43.400 say, I am a mother, I am a senior developer, 00:18:43.700 --> 00:18:46.900 I am Latina, I am a marathon runner. Oh, I see. 00:18:47.230 --> 00:18:50.190 The psychological mechanism at play here is cognitive 00:18:50.190 --> 00:18:53.269 disruption. By forcing colleagues to see the 00:18:53.269 --> 00:18:55.809 intersectional complex reality of an individual, 00:18:56.250 --> 00:18:58.869 you break the brain's reliance on flat, one -dimensional 00:18:58.869 --> 00:19:01.210 stereotypes. It demands that the organization 00:19:01.210 --> 00:19:03.849 see the employee for their authentic complexity, 00:19:04.029 --> 00:19:06.130 rather than just flattening them to fit comfortably 00:19:06.130 --> 00:19:08.890 into a broad demographic category. It requires 00:19:08.890 --> 00:19:11.109 a tremendous amount of intentionality to design 00:19:11.109 --> 00:19:13.849 a culture that way. Which really brings us to 00:19:13.849 --> 00:19:16.089 the ultimate question underlying this entire 00:19:16.089 --> 00:19:18.759 deep dive. What is the point? Yeah, why do all 00:19:18.759 --> 00:19:22.180 this work? Why should an organization or an individual 00:19:22.180 --> 00:19:25.759 voluntarily endure the friction of dissent, the 00:19:25.759 --> 00:19:28.240 discomfort of interrogating their own biases, 00:19:28.299 --> 00:19:31.319 and the hard work of addressing these specific 00:19:31.319 --> 00:19:34.099 painful realities? It's a lot to ask. It is. 00:19:34.400 --> 00:19:37.000 And to answer that, Laurie closes her talk by 00:19:37.000 --> 00:19:39.279 stepping away from the corporate data and sharing 00:19:39.279 --> 00:19:41.740 a deeply moving historical account about her 00:19:41.740 --> 00:19:43.970 great grandfather and his brother. It serves 00:19:43.970 --> 00:19:47.069 as a powerful anchor for her entire thesis, reminding 00:19:47.069 --> 00:19:49.670 the audience of the historical stakes of inclusion 00:19:49.670 --> 00:19:52.789 and exclusion. Yeah. She explains that during 00:19:52.789 --> 00:19:55.569 World War II, despite being naturalized American 00:19:55.569 --> 00:19:57.710 citizens who had built their lives in the United 00:19:57.710 --> 00:20:00.289 States, her great grandfather and his brother 00:20:00.289 --> 00:20:02.710 were sent to Japanese -American internment camps. 00:20:02.890 --> 00:20:05.430 Which is just a profound example of a systemic 00:20:05.430 --> 00:20:07.750 refusal to see individuals for who they truly 00:20:07.750 --> 00:20:10.450 are. Exactly. The government systematically stripped 00:20:10.450 --> 00:20:12.589 them of their rights, their property, and their 00:20:12.589 --> 00:20:15.549 dignity. entirely based on their heritage. But 00:20:15.549 --> 00:20:18.390 the story doesn't end there, does it? No. Laurie 00:20:18.390 --> 00:20:20.829 explains that after the war, when they were finally 00:20:20.829 --> 00:20:23.369 released, they did not retreat into isolation. 00:20:24.089 --> 00:20:26.410 Instead, they made the deliberate choice to build 00:20:26.410 --> 00:20:29.339 a Buddhist temple in San Jose, California. They 00:20:29.339 --> 00:20:32.099 chose to construct a physical and spiritual sanctuary? 00:20:32.319 --> 00:20:35.579 Yes. They wanted to create a community gathering 00:20:35.579 --> 00:20:38.640 place. A space where people who had been violently 00:20:38.640 --> 00:20:41.980 excluded could come together, pool their collective 00:20:41.980 --> 00:20:44.579 strength, and systematically rebuild their lives. 00:20:44.680 --> 00:20:47.380 That's incredible. And that temple is still standing 00:20:47.380 --> 00:20:50.039 and operating today. This raises an important 00:20:50.039 --> 00:20:52.880 question, which Lori poses as a final synthesis 00:20:52.880 --> 00:20:55.539 for her audience. What temple are you building? 00:20:55.640 --> 00:20:58.700 I love that framing. Her argument is that the 00:20:58.700 --> 00:21:00.900 true silver lining of living through fractured, 00:21:01.119 --> 00:21:04.140 often divisive times, is the opportunity it presents. 00:21:04.660 --> 00:21:07.019 We have a rare historical chance to build a much 00:21:07.019 --> 00:21:09.559 bolder, more rigorous vision of inclusion. A 00:21:09.559 --> 00:21:11.920 place where people aren't just tolerated. Right. 00:21:12.259 --> 00:21:14.660 We can construct workplaces and institutions 00:21:14.660 --> 00:21:17.900 where the unique complex value of every single 00:21:17.900 --> 00:21:20.279 individual is deeply known and utilized. But 00:21:20.279 --> 00:21:22.539 as we have learned today, building that temple 00:21:22.539 --> 00:21:25.799 requires every piece of the collective. It requires 00:21:25.799 --> 00:21:28.640 the friction of differing opinions, the discipline 00:21:28.640 --> 00:21:31.380 of a growth mindset, and the willingness to look 00:21:31.380 --> 00:21:33.980 closely at the fine details rather than panting 00:21:33.980 --> 00:21:36.599 over them with broad strokes. It is definitely 00:21:36.599 --> 00:21:39.119 not easy, but the things that are built to last 00:21:39.119 --> 00:21:42.720 never are. So true. Before we wrap up, I want 00:21:42.720 --> 00:21:45.380 to leave you with a final lingering thought to 00:21:45.380 --> 00:21:47.619 mull over. Okay, let's hear it. We spent our 00:21:47.619 --> 00:21:51.180 time today analyzing the idea that dissent, differing 00:21:51.180 --> 00:21:54.000 perspectives, and constructive friction are the 00:21:54.000 --> 00:21:56.180 fundamental mechanisms that make a group smarter. 00:21:56.740 --> 00:21:58.980 It is the friction that helps us spot the missing 00:21:58.980 --> 00:22:02.059 information, like that elusive third eyewitness 00:22:02.059 --> 00:22:04.539 in the jury study. Right, the cognitive resistance 00:22:04.539 --> 00:22:07.299 is the prerequisite for rigorous thinking. Exactly. 00:22:07.660 --> 00:22:11.069 But if that premise is true... How might the 00:22:11.069 --> 00:22:13.029 algorithms and AI feeds we interact with every 00:22:13.029 --> 00:22:14.990 single day be affecting us? Oh, that's a brilliant 00:22:14.990 --> 00:22:17.690 point. Right. We are increasingly relying on 00:22:17.690 --> 00:22:20.269 tools that are mathematically designed to optimize 00:22:20.269 --> 00:22:22.490 for our comfort, agree with our preferences, 00:22:23.170 --> 00:22:26.039 and seamlessly feed us consensus. They literally 00:22:26.039 --> 00:22:28.319 engineer the friction out of our lives. Yes. 00:22:28.839 --> 00:22:31.680 So could the absolute lack of friction in our 00:22:31.680 --> 00:22:34.200 digital diets be accidentally blinding us to 00:22:34.200 --> 00:22:36.339 the most important missing information in our 00:22:36.339 --> 00:22:39.839 own lives? It is a critical question about how 00:22:39.839 --> 00:22:42.200 we manage our own intellectual environments. 00:22:42.819 --> 00:22:44.859 Thank you for exploring these complex dynamics 00:22:44.859 --> 00:22:47.259 with us today. It has been a privilege to share 00:22:47.259 --> 00:22:49.640 this analysis with you. Keep asking the hard 00:22:49.640 --> 00:22:51.460 questions and we'll see you next time.