1 00:00:00,000 --> 00:00:10,760 Welcome to episode 38 of the Language Neuroscience Podcast. I'm Stephen Wilson, a neuroscientist 2 00:00:10,760 --> 00:00:15,120 at the University of Queensland in Brisbane, Australia. My guest today is from a different 3 00:00:15,120 --> 00:00:18,640 field, so he might not be familiar to most of our listeners, but we have a lot to learn 4 00:00:18,640 --> 00:00:23,240 from him. I'm here with Professor Michael Alley, Engineering Communications Teaching Professor 5 00:00:23,240 --> 00:00:28,240 in the Penn State College of Engineering. Michael is the author of one of my absolute favorite 6 00:00:28,240 --> 00:00:33,800 practice of science books, ‘The Craft of Scientific Presentations’, first published in 2002 7 00:00:33,800 --> 00:00:38,120 and revised in 2013. I read this book maybe 15 years ago and it totally changed the way 8 00:00:38,120 --> 00:00:42,960 I give presentations, at least how I give my best presentations, because it does take 9 00:00:42,960 --> 00:00:46,360 more time to prepare a good presentation than a bad one, and I'm not going to claim that 10 00:00:46,360 --> 00:00:52,160 I always follow Professor Alley's best practices every single time I get in front of the audience. 11 00:00:52,160 --> 00:00:56,160 But most of the time, and especially when I really care, this is my Bible for scientific 12 00:00:56,160 --> 00:01:00,400 communication. So, Michael, how are you doing? Thanks for joining me today. 13 00:01:00,400 --> 00:01:07,240 Thank you so much, Stephen. I'm doing great. Excellent. And where are you joining us from today? 14 00:01:07,240 --> 00:01:15,640 Actually, I'm joining you from my parents' home in Rio Rancho, New Mexico. Oh, okay. 15 00:01:15,640 --> 00:01:19,840 So, you're at a different time zone than we had originally planned, but you've calculated 16 00:01:19,840 --> 00:01:26,240 it correctly, and here we are. Here we are. And I am overlooking the Rio Grande River. Beautiful. 17 00:01:26,240 --> 00:01:30,240 Yeah, so I spent six years living in Arizona, so I know that part of the country well, and 18 00:01:30,240 --> 00:01:35,440 I really love it down there. Okay. Well, I had the idea of inviting you onto the podcast 19 00:01:35,440 --> 00:01:40,320 when I attended a conference recently. I'm not going to say which one, only that it wasn't 20 00:01:40,320 --> 00:01:46,760 SNL, the conference that many of our listeners attend routinely. And I sat through days 21 00:01:46,760 --> 00:01:51,720 and days of talks, and honestly, they were all completely awful. This was a neuroscience 22 00:01:51,720 --> 00:01:57,720 conference. I have a PhD in neuroscience in 20 years of experience. I was thoroughly familiar 23 00:01:57,720 --> 00:02:02,680 with all the methods and concepts, and yet I still couldn't understand any of the talks. 24 00:02:02,680 --> 00:02:06,720 Because I'm a fairly self-confident individual, I thought this was not a ‘me’ problem, this was 25 00:02:06,720 --> 00:02:11,680 a ‘them’ problem. Now, I do think that I'll feel the neurobiology of language is a little bit 26 00:02:11,680 --> 00:02:15,960 better, maybe because we're interested in language, and we think more about communication, 27 00:02:15,960 --> 00:02:21,160 but still, there's plenty of room for growth. So, I want to invite you to talk about your book, 28 00:02:21,160 --> 00:02:25,400 which basically teaches us how to be better presenters, including some really counter-intuitive 29 00:02:25,400 --> 00:02:32,840 ideas that have been quite transformative for me. So, let's start with the really most 30 00:02:32,840 --> 00:02:39,520 transformative part, which is your views on visual aids. Slides. You use the phrase in your 31 00:02:39,520 --> 00:02:47,360 book, "Death by PowerPoint." I like that a lot. Can you tell us what do you mean by "Death 32 00:02:47,360 --> 00:02:55,520 by PowerPoint?" So, Stephen, is interesting, I'm old enough to remember what things were 33 00:02:55,520 --> 00:03:09,160 like before PowerPoint. And so, PowerPoint came about in 1987 when an entrepreneur by 34 00:03:09,160 --> 00:03:16,480 the name of Robert Gaskins teamed with a computer scientist by the name of Dennis Austin to 35 00:03:16,480 --> 00:03:27,600 put together this program that originally was going to be able to scale the size of letters 36 00:03:27,600 --> 00:03:37,720 so that you were able to create slides that had type large enough for the audience to 37 00:03:37,720 --> 00:03:50,520 read. And at that time, 1987, that was great. That was a step up the mountain for us. Unfortunately, 38 00:03:50,520 --> 00:04:02,680 the defaults that were chosen for that program spread like a virus around the world and those defaults 39 00:04:02,680 --> 00:04:13,240 that essentially call for a large headline at the top, so large that most people choose a phrase. 40 00:04:13,240 --> 00:04:24,520 And then that headline is supported by a bulleted list. It's really interesting how that program came 41 00:04:24,520 --> 00:04:33,480 about because Gaskins, when he just tried to sell the program, he didn't actually in his presentation 42 00:04:33,480 --> 00:04:43,400 use bullets. He was much more inclined to give a claim or assertion and then support that with 43 00:04:43,400 --> 00:04:54,040 evidence, much of it, visual evidence. However, in this program, because of the computer architecture, 44 00:04:54,040 --> 00:05:05,880 of that day, they were limited in being able to incorporate visuals into the body. And so, he had seen 45 00:05:05,880 --> 00:05:13,480 a presentation where they were using these dots or bullets. And so, he just thought, well, just to 46 00:05:13,480 --> 00:05:22,280 give it something, he chose a bullet. But he had problems selling the program. And so, he decided that he 47 00:05:22,280 --> 00:05:30,760 needed more heft in the design, not just his phrase headline and did a single bullet beneath it. 48 00:05:30,760 --> 00:05:38,520 But he came up with this idea of these nested bullets. Which by the way, he never used in any of his 49 00:05:38,520 --> 00:05:51,800 presentations, but they caught on. And so, the style of presentations, and again, it was like the 50 00:05:51,800 --> 00:06:02,040 coronavirus in terms of its spread. From 1987 through 1999, the world just was taken by these bullets. 51 00:06:02,040 --> 00:06:12,840 And nested bullets. And so, presentations became this march of speakers talking through 52 00:06:12,840 --> 00:06:17,960 these bullets, which are essentially their notes to the audience. 53 00:06:18,600 --> 00:06:25,400 Yeah. Okay. So, the PowerPoint defaults were very influential on this and change the way people 54 00:06:25,400 --> 00:06:30,920 gave talks around the world. Large headlines where you just put in a phrase, like for instance, 55 00:06:30,920 --> 00:06:35,720 methods, then you've got this bullet box where you put things like 12 participants, you know, 56 00:06:35,720 --> 00:06:41,320 3 Tesla functional MRI (3T fMRI), four conditions varying pseudowords in their blah blah blah. 57 00:06:41,320 --> 00:06:46,280 And then people kind of look back at their slides and they read it off the slide. And that's I think 58 00:06:46,280 --> 00:06:53,080 what you call ‘death by PowerPoint’. And so why does this not work? Like, can we not read and listen 59 00:06:53,080 --> 00:07:03,000 to speech at the same time? So, we can. But then there are a number of problems. One problem is that 60 00:07:03,000 --> 00:07:13,800 people put too much text on the slides for the audience to read and still listen to the presenter. 61 00:07:14,600 --> 00:07:21,640 So, it was a little bit after PowerPoint came out that a Canadian psychology 62 00:07:21,640 --> 00:07:30,920 researcher by name of Alan Paivio realized through his experiments that people process 63 00:07:30,920 --> 00:07:39,560 words spoken and written in the same part of the brain. You and your audience are neuroscientists. 64 00:07:39,560 --> 00:07:48,040 So, you probably have a better sense of this issue than I do. But an Australian 65 00:07:48,040 --> 00:07:55,800 psychology researcher by the name of John Sweller posed a really interesting question. 66 00:07:55,800 --> 00:08:02,200 And it is if people are processing written words and spoken words in the same part of the brain, 67 00:08:02,200 --> 00:08:09,400 could that part of the brain become overloaded much as a central processing unit 68 00:08:09,880 --> 00:08:16,440 of a computer can become overloaded if it does too many tasks? And so, he did these experiments 69 00:08:16,440 --> 00:08:24,600 and in these experiments, he had a room where people had no slides but had a speaker. 70 00:08:24,600 --> 00:08:31,800 And then another room where people had slides, but no speaker. And then a room where people, I mean the audience 71 00:08:31,800 --> 00:08:39,880 had both. And the room that had both slides that supported what was said and then the speaker 72 00:08:39,880 --> 00:08:49,240 did the best as far as comprehension until the number of words per minute reached this point, 73 00:08:49,240 --> 00:08:57,960 which Sweller termed ‘cognitive overload’. In which case that room that was doing first went to worst. 74 00:08:58,680 --> 00:09:06,520 And Sweller goes on to say that most people who follow PowerPoint's defaults cross that threshold. 75 00:09:06,520 --> 00:09:16,280 And so, if you have a slide that's just words and you cross that threshold of too many words, 76 00:09:16,280 --> 00:09:22,680 you get to this cognitive overload. My colleague from Belgium, Jean-luc Dumont 77 00:09:23,320 --> 00:09:33,240 says that in that case no slides just a black screen is more effective than the actual slide that show. 78 00:09:33,240 --> 00:09:38,600 And I think that's interesting. Oh, it's very interesting. And I love it that you're bringing evidence in. 79 00:09:38,600 --> 00:09:43,160 And you know like you said, I mean our field, we are very familiar with these kinds of concepts. 80 00:09:43,160 --> 00:09:49,640 And in my own work we've shown that essentially the auditory language input and the visual 81 00:09:49,640 --> 00:09:53,960 language input they're initially processed in the superior temporal lobe and 82 00:09:53,960 --> 00:10:00,040 Occipital, ventral occipital temporal pathway respectively. But then they converge in the left 83 00:10:00,040 --> 00:10:04,920 posterior temporal sulcus that's where it all comes together. We have got this paper Wilson et al., 2018. 84 00:10:04,920 --> 00:10:10,600 But you know this is not supposed to be a science episode but anyway. So, it's you know, we're 85 00:10:10,600 --> 00:10:14,520 very familiar with this and I don't want to claim that we're the first or only ones to show that. 86 00:10:14,520 --> 00:10:20,600 But certainly, that's well established. Now yeah and it's interesting that you know, you bring up 87 00:10:20,600 --> 00:10:25,800 actual evidence about the claims that you're making about how we should be presenting. And you 88 00:10:25,800 --> 00:10:30,280 do your own research, right? I mean you've also got original research in this domain. 89 00:10:30,280 --> 00:10:39,080 Yes, so and let me say that the person who's done the most research in this domain in terms of 90 00:10:39,080 --> 00:10:47,160 how much people comprehend when they are listening to words, reading words and then as you said 91 00:10:47,160 --> 00:10:55,320 looking at visuals, is Richard Mayer from I think, UC Santa Barbara and Mayer has done 92 00:10:55,320 --> 00:11:03,320 lots of experiments. But my team at Penn State we did do some specific experiments. I had Joanna Garner 93 00:11:03,320 --> 00:11:12,840 who is an educational psychology researcher from Old Dominion University (ODU), was on, was on my team. And so, my team, 94 00:11:12,840 --> 00:11:21,640 we did a test in which an audience is viewing a presentation of something that they can understand 95 00:11:21,640 --> 00:11:32,120 but is unfamiliar to them. And, and part of the audience saw the presentation in a room that had 96 00:11:32,120 --> 00:11:39,960 traditional slides that follow PowerPoints default's and another audience was in a room where they saw 97 00:11:39,960 --> 00:11:47,240 this ‘assertion evidence approach’ which we'll talk about a little bit later. And what we found is 98 00:11:47,240 --> 00:11:54,200 that the level of understanding of the, of the audience that looked at the assertion-evidence 99 00:11:54,200 --> 00:12:04,840 slides were statistically significantly much higher than the other room. It was it was at a statistical 100 00:12:04,840 --> 00:12:12,760 significance of less than 0.01 and for the really technical parts it was less than 0.001. And one 101 00:12:12,760 --> 00:12:22,680 other thing I'll say is that the number of misconceptions that audiences in the room would have, the 102 00:12:22,680 --> 00:12:30,840 room that was looking at the PowerPoint default slides with the bullets were 10 times higher in terms 103 00:12:30,840 --> 00:12:36,840 of misconceptions that they walked away with than the room with the assertion-evidence, 104 00:12:36,840 --> 00:12:46,360 and so, Dr. Garner, what she thinks is, is that, that audience they were looking at the wrong 105 00:12:47,160 --> 00:12:53,800 bullet when the person is speaking and that was where the source of the misconception arose. 106 00:12:53,800 --> 00:13:02,840 Yeah, okay so assertion-evidence, you've sort of teased it with the results that it's 107 00:13:02,840 --> 00:13:08,440 going to lead to talks that are more comprehensible and I would also say much more engaging. 108 00:13:08,440 --> 00:13:14,200 So, let's talk about it. What is assertion-evidence, and this is by the way the most important 109 00:13:15,000 --> 00:13:19,720 part of the book for me. The book is actually full of gems about presenting, but this is the thing 110 00:13:19,720 --> 00:13:27,640 that really changed my, changed my life. Well, you know thank you Stephen. I, I think it has 111 00:13:27,640 --> 00:13:37,000 probably changed my career as well and this assertion-evidence approach, I mean I would love to say 112 00:13:37,000 --> 00:13:44,040 that I invented it. But, but I didn't. I would say that maybe, what I did is, I resurrected it. But it's 113 00:13:44,040 --> 00:13:57,720 roots go back to Hughes aircraft corporation. That's one root. Another root is in the films of 114 00:13:57,720 --> 00:14:05,880 Alfred Hitchcock and so I kind of like the Hitchcock one. But Hitchcock, when he had, when he had a script and 115 00:14:05,880 --> 00:14:15,160 then he was envisioning the film, he would create these little panels, okay? And these panels were 116 00:14:15,160 --> 00:14:24,760 this claim, this assertion, this, the essence of what the scene is and did a sketch of something in 117 00:14:24,760 --> 00:14:35,560 that scene. And so, let's say from the film, The Birds, crow's land in school yard and then that's, that's, the 118 00:14:35,560 --> 00:14:41,480 claim and then you've got this school yard where you've got all these crows that are sitting there. 119 00:14:41,480 --> 00:14:55,080 But, but, but Hitchcock essentially would plan out his whole film by, with those, with those little, 120 00:14:55,080 --> 00:15:04,200 you know those little slides you might say and, and so people have, a few people have kind of carried 121 00:15:04,200 --> 00:15:11,000 that on and brought that into presentations. The Lawrence Livermore National Laboratory (LLNL), was very strong 122 00:15:11,000 --> 00:15:21,240 in the 1970s and 1980s, but then once PowerPoints defaults came out again, they just, they just took over 123 00:15:21,240 --> 00:15:27,800 From, from, from what happened. But, but that's, that's, kind of where it started and so I was 124 00:15:27,800 --> 00:15:33,240 privy to that because I was across the, working across the street from Lawrence Livermore Lab 125 00:15:33,240 --> 00:15:42,200 and I saw that style. I didn't think a lot about it until PowerPoints default started taking over 126 00:15:42,200 --> 00:15:51,400 and I realized just as you began this, this podcast with, I realized how bad presentations were 127 00:15:51,400 --> 00:16:02,280 becoming and so that's when I started saying hey there is a different way for us in science and 128 00:16:02,280 --> 00:16:08,680 engineering to present and I coined this phrase with my colleague from University of Virginia, 129 00:16:08,680 --> 00:16:18,120 Kate Neeley, we coined this phrase assertion-evidence. Okay yeah, so, tell us what that entails exactly. 130 00:16:18,120 --> 00:16:23,400 What's the assertion? What's the evidence? How do you, how does your slide look when you are 131 00:16:23,400 --> 00:16:31,320 giving an assertion-evidence style to talk? All right and so it's, it's very close to what, what Hitchcock 132 00:16:31,320 --> 00:16:42,040 had in that we would think about your talk, you can think about it as this story in research I mean 133 00:16:42,040 --> 00:16:49,800 the story maybe begins with, or you know, early on you found out that there's this question. 134 00:16:49,800 --> 00:16:56,520 This research question you're trying to answer. Then, how are you going to answer that question? What are 135 00:16:56,520 --> 00:17:02,440 the results of that test that you're doing? And what do those results mean? I mean that's in a 136 00:17:02,440 --> 00:17:10,760 a sense, the arc of your story. But you can, you can think about, then, that story in terms of 137 00:17:10,760 --> 00:17:21,560 scenes and for each scene what is the main takeaway and that main takeaway? That's what we're calling 138 00:17:21,560 --> 00:17:31,320 the assertion. It is a step up the mountain for the audience. It is something that, that they did not 139 00:17:31,320 --> 00:17:41,240 know before the talk and then you as a presenter are defending that particular step. I mean a real easy 140 00:17:41,240 --> 00:17:51,480 place to see it is when you have accrued all this data, you put it into a graph and then you state 141 00:17:51,480 --> 00:17:59,640 what is the takeaway of this graph as temperature increases, pressure increases, something along those lines. 142 00:17:59,640 --> 00:18:08,760 But that is the claim and then you support that not with your speaking notes, which what a bullet list 143 00:18:08,760 --> 00:18:17,240 essentially is, you support that visually. So, you support that with the graph and so that would be an example. 144 00:18:17,240 --> 00:18:24,600 Okay, so we get rid of the sort of title of the slide which might say something like methods 145 00:18:24,600 --> 00:18:31,560 and we instead put a descriptive phrase or sentence rather that describes what the point is that 146 00:18:31,560 --> 00:18:36,440 we're trying to make on that slide and then we don't put any text on the slide usually, we put 147 00:18:36,440 --> 00:18:41,960 visual evidence to support the assertion. So, I want to just kind of like tie it to our audience and 148 00:18:41,960 --> 00:18:48,360 give you guys an example from a talk that I put some time into which is my C-STAR talk from I think 2022, 149 00:18:48,360 --> 00:18:53,480 Center for the Study of Aphasia Recovery, I think it's on YouTube, so for instance in the introduction 150 00:18:53,480 --> 00:18:59,000 I have a slide that says, at the top in the title, it says language regions are localized to the left 151 00:18:59,000 --> 00:19:04,120 Hemisphere. So, it's a sentence. And then it doesn't have any other words on the slide. It has some pictures 152 00:19:04,120 --> 00:19:11,640 of the evidence that supports that. Which is a photo of the brain that was studied by Paul Broca. 153 00:19:11,960 --> 00:19:18,200 and a little picture of Paul Broca. It has a picture of the, the language areas where stimulation 154 00:19:18,200 --> 00:19:23,800 leads to speech arrest and a little picture of the neurosurgeon, Penfield who discovered that. 155 00:19:23,800 --> 00:19:28,680 So, it's all visual evidence and I talk over it, and I say why we, how we know that language regions localized 156 00:19:28,680 --> 00:19:33,000 to the left hemisphere. There’re no other words on the slide apart from that claim and then the next 157 00:19:33,000 --> 00:19:38,440 slide says different regions have different functions, in principle plasticity is possible. 158 00:19:39,160 --> 00:19:43,240 It's, it's sort of two sentences but you could put a semicolon in there if you wanted to be pedantic 159 00:19:43,240 --> 00:19:50,920 and then again it has pictures of complicated models of the language network from people like 160 00:19:50,920 --> 00:19:57,400 Hickok and Poeppel, Cathy Price, that’s to show that different regions have different functions and 161 00:19:57,400 --> 00:20:01,560 again, I'll talk through it. I'm not going to say, there's no other words on the slide and I have a 162 00:20:01,560 --> 00:20:07,560 picture of from, Elissa Newport’s group of language regions in a child with a left hemisphere 163 00:20:07,560 --> 00:20:11,320 perinatal stroke where language areas have real nice to the right hemisphere so you can see that 164 00:20:11,320 --> 00:20:16,920 visual evidence that in principle plasticity is possible and so when it goes on like that and that's 165 00:20:16,920 --> 00:20:21,160 an assertion and I want to admit right now that the entire talk is not assertion-evidence there's 166 00:20:21,160 --> 00:20:25,720 like parts which were rushed and where it's not fully like done as well as it could have been 167 00:20:25,720 --> 00:20:30,680 but I just wanted to kind of tie it to concrete examples from our field. And you know what, I would say 168 00:20:30,680 --> 00:20:39,080 Stephen, I love that. I love what you've, what you've just shown because, as you were explaining it 169 00:20:39,080 --> 00:20:51,560 I saw the assertion at the top, I mean I captured that, because it wasn't that long and then as you 170 00:20:51,560 --> 00:20:59,880 described the visual evidence I imagine that visual evidence in in my mind but what I really like 171 00:20:59,880 --> 00:21:10,360 is how focused that sentence at the top made you as a presenter. Because you didn't have a lot of the, 172 00:21:10,360 --> 00:21:17,000 you know, it's just as you talk about you write methods up at the top there's so many things that 173 00:21:17,000 --> 00:21:22,200 you could bring in and, and the audience doesn't know what's important what's not important. 174 00:21:22,200 --> 00:21:28,280 It becomes just often, it becomes a tsunami of details and the audience is just overwhelmed not 175 00:21:28,280 --> 00:21:35,080 Sure, what to hold on to what to let go. But you have streamlined it to the essence of what you're 176 00:21:35,080 --> 00:21:43,000 doing and then I'd say another thing that's cool, is, you are such a, you are a much more important 177 00:21:43,000 --> 00:21:49,960 player as a presenter in this presentation than someone who's got the bullet list, who just keeps 178 00:21:49,960 --> 00:21:57,000 turning and reading or paraphrasing. Because the audience often ignores the speaker and then tries 179 00:21:57,000 --> 00:22:03,960 to do that same thing themselves. But you're here explaining the visual evidence, much like somebody who's 180 00:22:03,960 --> 00:22:13,240 leading you through a museum, is explaining the artifacts of the museum. So, you're kind of 181 00:22:13,240 --> 00:22:19,000 hitting on some really key things, right? Which is, that the assertion-evidence style doesn't just 182 00:22:19,000 --> 00:22:27,720 make better slides, it makes better talks by forcing the presenter to think about the structure of the talk, 183 00:22:27,720 --> 00:22:32,440 in terms of like what's the sequence of information chunks that I want to communicate to my audience, 184 00:22:32,440 --> 00:22:37,640 not then distracting them with irrelevant detail. Because, once you've, once you've structured your 185 00:22:37,640 --> 00:22:43,640 talk as a series of assertions you think only exactly what, what is the minimal amount of visual 186 00:22:43,640 --> 00:22:52,120 information that I need to show them to kind of make my point here and it lets them then communicate 187 00:22:52,120 --> 00:22:57,000 sort of much more naturally because instead of just reading off the slide you can make eye contact 188 00:22:57,000 --> 00:23:02,680 with your audience, speaking in a natural way and you've got that assertion on the screen so 189 00:23:02,680 --> 00:23:06,120 when people kind of space out and they forget what you're talking about for a few seconds and they 190 00:23:06,120 --> 00:23:12,840 want to like, reconnect, they've, they can, they've got that kind of anchor point up there on the on the screen, yeah? 191 00:23:12,840 --> 00:23:20,440 Exactly. Exactly. So, let's talk about like what, what kind of things can the visual evidence 192 00:23:20,440 --> 00:23:25,960 consist of? Like what, what should the rest of the slide have on it? 193 00:23:25,960 --> 00:23:38,360 And to me this is like one of the most wonderful parts of this whole thing, is that you have this, I mean this canvas, that you 194 00:23:38,360 --> 00:23:46,360 can bring in all sorts of visual evidence. First, if you're talking about tasks 195 00:23:46,360 --> 00:23:55,240 with regard to time, a timeline is something that you could use. Which is so much more. 196 00:23:55,240 --> 00:24:04,680 Communicates so much more than a bulletin list of dates and, and, and whatnot. Because here you can not only show the 197 00:24:04,680 --> 00:24:12,920 relative differences in time, you know, between when, when things happen, but you can also 198 00:24:12,920 --> 00:24:20,760 I mean creatively, incorporate images of those tasks that the audience can process 199 00:24:20,760 --> 00:24:28,280 rather quickly particularly when you're, you're, you are there kind of explaining 200 00:24:29,160 --> 00:24:35,720 that this was the construction phase and so here we're doing this and, and, and I'd say also just the 201 00:24:35,720 --> 00:24:45,560 modulation for you as a presenter, you can change things on the fly, that you realize: ‘oh, I'm 202 00:24:45,560 --> 00:24:51,800 presenting at this audience.’ You get a sense of this audience is maybe interested in that particular 203 00:24:51,800 --> 00:24:58,840 phase as opposed to another. So, you can just spend more time talking about that particular 204 00:24:58,840 --> 00:25:08,280 Image. And it's, and that I'd say, is more natural than when you've got four or five bullets you feel as 205 00:25:08,280 --> 00:25:17,960 if you have to, you have to cover each of those. Yeah. You have to cover every, you have to cover the 206 00:25:17,960 --> 00:25:28,040 image but you just have, you just have more play in, in the sequence of how you talk about things. 207 00:25:28,040 --> 00:25:34,920 Particularly if you've got, let's say a photograph as, as opposed to again, a bulletin list. 208 00:25:34,920 --> 00:25:41,560 Yeah, your book is full of these really funny anecdotes about like terrible presentations that 209 00:25:41,560 --> 00:25:46,680 you've seen where people like laboriously felt the need to go through every single bullet point 210 00:25:46,680 --> 00:25:50,680 and they ended up going like 30 minutes over time and cutting into the next session or whatever. 211 00:25:51,560 --> 00:25:59,080 It's, it's very entertaining. So, you also, you know, you kind of have this concept of simplicity where, like 212 00:25:59,080 --> 00:26:04,360 you get rid of extraneous things, right? So the slide only has the assertion and the evidence. 213 00:26:04,360 --> 00:26:17,800 You argue against logos, lines, background like you know, university templates, like you want to 214 00:26:17,800 --> 00:26:25,800 keep it totally clean, right? Absolutely. I mean for us, and for you in neuroscience, for all of us in 215 00:26:25,800 --> 00:26:32,360 science and engineering, it's the content that matters. You certainly want to give credit to your 216 00:26:32,360 --> 00:26:43,080 Institution, but hey, if, if your logo's on the first slide and it's on the last slide, good bet is 217 00:26:43,640 --> 00:26:50,040 all that time in between you're still at that same institution and you don't want, you don't want 218 00:26:50,040 --> 00:27:00,840 some logo compromising your graph or just taking away from, from things. So, I'd say the content is 219 00:27:00,840 --> 00:27:12,920 king in our presentations and, and sadly a lot of templates that companies and universities are just 220 00:27:13,880 --> 00:27:26,120 created to look nice but, and so you've got all this artwork, but that artwork distracts from our work 221 00:27:26,120 --> 00:27:35,000 and our work is what people came to the conference to hear and to see. Yeah. That, that kind of connects with 222 00:27:35,000 --> 00:27:41,720 this quote from your book which I want to read out which you write: ‘Interestingly in engineering and 223 00:27:41,720 --> 00:27:48,200 science there exists a deep-seated distrust of a noticeable style what, many refer to as glitz.’ 224 00:27:48,200 --> 00:27:55,080 So, that's this idea that oh why should we care about how we present, like you know, we are scientists, 225 00:27:55,080 --> 00:28:01,080 it's all about the content. But your point is, yeah, actually, it is all about the content and we need 226 00:28:01,080 --> 00:28:07,320 to like, do better on our presentations to let the content shine. It's not contradictory, yeah? 227 00:28:07,320 --> 00:28:13,720 Not contradictory. I've not talked it at all about being sloppy. I mean these are your graphs are really 228 00:28:13,720 --> 00:28:19,960 important to you, you put a lot of thought into what's your y-axis, what's your x-axis, if you're going 229 00:28:19,960 --> 00:28:26,440 to have a z-axis. You know, what you would have there. I mean, you put a lot of thought into how you 230 00:28:26,440 --> 00:28:35,160 present the data. I mean you want it to be clean you want the audience to see that data as you saw it. 231 00:28:35,160 --> 00:28:42,680 And an important thing to realize is, I mean graphs are places where you really want to slow down as a 232 00:28:42,680 --> 00:28:51,240 Presenter, because you've seen that graph. I mean for hours, maybe you've, you've, you've looked at 233 00:28:51,240 --> 00:28:57,880 that graph. But the audience gets a minute maybe a minute and a half. You know, one TED talk I would 234 00:28:57,880 --> 00:29:07,400 recommend that people watch, is the TED talk by Cheryl Hayashi (The magnificence of spider silk). 235 00:29:07,400 --> 00:29:16,920 And all you have to do is, is type in to your browser TED for TED talk, and spiders and then her talk will come out. 236 00:29:16,920 --> 00:29:24,280 Watch this talk between, I mean, I, I love the whole talk. But watch, she uses assertion- evidence by the way, but watch this 237 00:29:24,280 --> 00:29:32,760 talk between the seven-minute mark and the twelve-minute mark. She presents two graphs and it's a 238 00:29:32,760 --> 00:29:41,800 tour de force on how she does it. Each of those graphs she tells us a story. Think about what she says, 239 00:29:41,800 --> 00:29:50,040 think about what she doesn't say in, in that particular one. Hayashi, Ted, spiders. Okay, I will link it in 240 00:29:50,040 --> 00:29:56,200 the podcast show notes, so people can easily find that and yeah, I'm glad you talked about that example 241 00:29:56,200 --> 00:30:00,520 of like, you know, often you know, graphs and figures are so central to our work, right? 242 00:30:00,520 --> 00:30:04,920 We often tell the story of our paper through the, through the figures and, and you know, you have to sometimes edit 243 00:30:04,920 --> 00:30:11,320 them a bit for your presentation. Like, you can't just put up the entire six by six panel of subplots. 244 00:30:11,320 --> 00:30:15,640 Like, you need the actual axes to be visible, like, you need the numbers to be visible. Like, if I'm really 245 00:30:15,640 --> 00:30:21,240 taking my time, I'll, I'll often re-do my axis numbering for my presentation, where I make it much bigger. 246 00:30:21,240 --> 00:30:27,320 And then, when I talk about the graph I say, hey, here's the, on the x-axis we have time on the y-axis we 247 00:30:27,320 --> 00:30:33,880 have aphasia severity, as indexed by the, you know Quick Aphasia Battery (QAB) overall score. 248 00:30:33,880 --> 00:30:40,200 And as you can see these individuals are recovering over time initially quicker earlier and then 249 00:30:40,200 --> 00:30:44,920 slow, and then decelerating over time. Something like that, where you really have to talk through each element 250 00:30:44,920 --> 00:30:49,160 of the graph and most people don't do that. Like you said, they just stick their graph up there. 251 00:30:49,160 --> 00:30:54,680 They've seen it a million times. They know what it shows. Their audience does not and then very quickly you are, 252 00:30:54,680 --> 00:31:02,760 your audience is lost. So, you published this book in 2002 and I think it's been extremely influential 253 00:31:02,760 --> 00:31:10,200 on a subset of scientists and engineers but still as I said in my opening many most presentations 254 00:31:10,200 --> 00:31:20,280 continue to be awful. Why are people sticking with this ineffective style that they are using and not 255 00:31:20,280 --> 00:31:25,960 kind of like moving to these more effective ways of presenting? 256 00:31:25,960 --> 00:31:33,800 Yeah. Now you ask a really tough question and, and, and there I'd say there are a number of reasons. One reason as you, as you mentioned 257 00:31:33,800 --> 00:31:42,600 early on is, making a good presentation takes time. Richard Feynman, Nobel Prize winner said that, 258 00:31:42,600 --> 00:31:52,920 said that, most scientists, particularly young scientists, do not appreciate how much time it takes 259 00:31:52,920 --> 00:32:01,080 to make a good presentation. So, it takes, it takes more time, than to do you, know to follow PowerPoint 260 00:32:01,080 --> 00:32:07,960 defaults. PowerPoints defaults are easy on the presenter hard on the listener. 261 00:32:07,960 --> 00:32:18,920 Doing it another way, such as the assertion-evidence, that is going to be tougher, but I would argue 262 00:32:18,920 --> 00:32:26,760 and, and, and you, you've thought about it as well for your most important talks, that investment is 263 00:32:26,760 --> 00:32:35,240 worth it. I'd say another thing is, oh my gosh, we are overwhelmed by bad presentations and so in a 264 00:32:35,240 --> 00:32:46,760 Sense, I think about the youngest scientists coming up, this is what they see, they want to be part of 265 00:32:46,760 --> 00:32:55,800 the scientific community and so they gravitate toward what is most common. It takes courage 266 00:32:55,800 --> 00:33:04,120 to present in a way that is different, because you're going to stand out. I mean if you if you don't 267 00:33:04,120 --> 00:33:10,440 want to stand out, yeah. I mean just yeah, just all about one's defaults. And people won't say anything. 268 00:33:10,440 --> 00:33:16,440 They won't tell you it's a bad presentation. They just won't say anything at all, but it takes 269 00:33:16,440 --> 00:33:24,920 courage to present differently. Yeah. Courage and time and, and I think that's what's getting in the way, right? 270 00:33:24,920 --> 00:33:28,120 And, and you're right. People won't say anything, right? This conference that I went to, 271 00:33:28,120 --> 00:33:32,520 people just clapped themselves on the back and said oh what a great conference this is. And I was like, 272 00:33:32,520 --> 00:33:37,720 no. Like, I don't understand anything that I'm hearing in any of these sessions. These talks are 273 00:33:37,720 --> 00:33:44,120 all gobbledygook and there's, and like I said, it's not me. Like I know that I've got the background 274 00:33:44,120 --> 00:33:47,720 to understand this stuff and if I'm not understanding it like you're not either. Like don't pretend 275 00:33:47,720 --> 00:33:54,200 that like, we're getting anything out of this. People will just quietly go about their day and focus 276 00:33:54,200 --> 00:34:01,160 on the end of day mixer and not on actually learning anything. Okay. So, we've talked about the slides 277 00:34:01,160 --> 00:34:08,200 that how, how transformative it can be to kind of reframe your talk into a series of assertions 278 00:34:08,200 --> 00:34:12,440 supported by visual evidence. Let's now talk a little bit about the content and organization 279 00:34:13,160 --> 00:34:19,720 of a talk and, and we'll focus on um, conference talks, because I think that's kind of the most sort of 280 00:34:19,720 --> 00:34:25,480 bread and butter talk for scientists. Can you talk about like you know, the conference talk what does 281 00:34:25,480 --> 00:34:30,760 the occasion demand? What is, what's the purpose of a talk there and what are people typically failed 282 00:34:30,760 --> 00:34:39,800 to understand about the appropriate level of detail and so on for a conference talk? Yeah, I 283 00:34:39,800 --> 00:34:47,880 think, I think, with a conference talk it's really important for you to get away from the computer 284 00:34:47,880 --> 00:35:00,520 to take a walk and really think about an audience watching your talk and think about it from their 285 00:35:00,520 --> 00:35:09,640 Perspective. So, you might be presenting on a second day, in the afternoon, third talk of a session 286 00:35:10,280 --> 00:35:19,000 and so, if you think about it, audience may have seen 10, maybe even 15, talks that day by the time 287 00:35:19,000 --> 00:35:31,320 they get to yours. So, the audiences is tired and the audience wants value. They want to, they want to 288 00:35:31,320 --> 00:35:39,480 learn something that they can take back to their institution and share. And I think if you just 289 00:35:39,480 --> 00:35:47,560 step back and think about it from that perspective instead of coming in and trying to impress them 290 00:35:47,560 --> 00:35:55,960 with how much you've done, you might say rather than speaking really fast and showing a lot of data, 291 00:35:55,960 --> 00:36:04,760 I'm going to try to tell one story, tell it really well and, and to me a really important thing is 292 00:36:05,640 --> 00:36:13,480 make it memorable. So much of the time, I just feel as if people are just trying to impress me 293 00:36:13,480 --> 00:36:22,920 with how much they've done, and I mean everybody's working hard. I'm not really impressed. I'm more 294 00:36:22,920 --> 00:36:32,920 impressed by the person who comes in, instead of sprinting from the start to the finish, just tells me 295 00:36:33,800 --> 00:36:44,600 a story of the research, not gonna be entire research, but a story that is important and that I can 296 00:36:44,600 --> 00:36:53,720 retell and so, think, just think a little bit about the audience who they are, what they know about your 297 00:36:53,720 --> 00:37:03,080 research, and why they are in the room. What is it about your research that really is going to 298 00:37:03,080 --> 00:37:09,400 interest them? Okay, great. So, you've got some quotes that I, I want to read another one of your 299 00:37:09,400 --> 00:37:14,920 quotes that I think connects with this. It's, you write, when you effectively present your work you 300 00:37:14,920 --> 00:37:20,280 did not present everything you know about your work. Rather, you select those details that allow 301 00:37:20,280 --> 00:37:25,720 the audience to understand the work and you leave out details that the audience does not desire or 302 00:37:25,720 --> 00:37:32,760 need. So, there's this editing that has to happen, that rarely does happen, um, and I think that it's kind 303 00:37:32,760 --> 00:37:38,440 of as on two dimensions, kind of the way you describe it in your book and um, resonated with me is that many 304 00:37:38,440 --> 00:37:43,720 talks they attempt to cover too much, so they, they try to shove too much into their time 305 00:37:43,720 --> 00:37:51,400 and they're too deep. So, they get into details that are unnecessarily, cannot possibly be grasped by the 306 00:37:51,400 --> 00:37:58,840 post lunch crowd in the 10-minute platform presentation. So, too much too deep. That those are the 307 00:37:58,840 --> 00:38:04,680 the enemies of a good talk. It needs to be simple. It needs to be focused on a single main point 308 00:38:04,680 --> 00:38:10,440 and it needs to have all of the unnecessary detail stripped away because if you want that detail 309 00:38:10,440 --> 00:38:15,720 you've got to go read the damn paper. Like, you're not going to get it, you know, on the Sunday afternoon 310 00:38:15,720 --> 00:38:24,680 talk session. Yeah? Amen. (Laughter) So, yeah um. So, then you talk about like how important the intro is, right? 311 00:38:24,680 --> 00:38:30,360 The beginning of the talk, so important for capturing the audience's attention. Can you tell us what 312 00:38:30,360 --> 00:38:36,760 is the beginning need to accomplish and how long, should how long should it be like relative to 313 00:38:36,760 --> 00:38:43,240 the total talk length? Yeah, so, that's it. That's a really good point. So, we'll take your 10-minute talk 314 00:38:43,240 --> 00:38:52,040 for an example and, and one thing I want to preface is, that Einstein, who was probably one of our 315 00:38:52,040 --> 00:39:03,000 greatest presenters of the 20th century, at conferences spent more time on the introduction 316 00:39:03,000 --> 00:39:14,280 than most presenters did. But, for Einstein it was important that the audience understood not only 317 00:39:14,280 --> 00:39:25,480 what he was doing but why it had important or importance or in his case what, what made people curious 318 00:39:25,480 --> 00:39:34,840 about the, the research question. And then also what did the audience need to know to understand the 319 00:39:34,840 --> 00:39:48,680 talk, what background was important. And so, I would say that I would not hesitate to spend three minutes 320 00:39:48,680 --> 00:39:58,360 on an introduction to, to get those points across and, and you're probably not going to begin with 321 00:39:58,360 --> 00:40:07,880 the research question. You'll probably begin with motivation and then perhaps a little bit of 322 00:40:07,880 --> 00:40:17,560 the literature review as a bridge, then to show what the gap is, to then to then give the research, 323 00:40:17,560 --> 00:40:25,240 the research question. But when you give that research question or research hypothesis, the audience 324 00:40:25,240 --> 00:40:36,280 should be nodding their heads. They understand why you have, you have, you have pursued this particular 325 00:40:36,280 --> 00:40:42,840 question. Yeah, and papers should be structured much the same, right? That's the topic for a whole 326 00:40:42,840 --> 00:40:47,560 another day but I will mention you also have a look on writing papers which is also fantastic but 327 00:40:47,560 --> 00:40:53,880 topic for another day. So, yes um, extra time on the intro, like don't just rush into your stuff, 328 00:40:54,680 --> 00:40:59,800 don't even, yeah, don't even start with your research question first. Explain the knowledge gap 329 00:40:59,800 --> 00:41:05,560 that makes your question the right question and then you can bring the audience along for the ride. 330 00:41:05,560 --> 00:41:12,920 Again, using assertion-evidence slides throughout. I want to kind of briefly touch upon some of the 331 00:41:12,920 --> 00:41:17,880 other slide types that exist, right? So, it's not the entire talk would be assertion-evidence on a 332 00:41:17,880 --> 00:41:22,280 very single slide. Often, your talks kind of have a structure, where they might especially a longer 333 00:41:22,280 --> 00:41:28,520 talk, might have a couple of different topics that you're going to cover. How do you kind of do those 334 00:41:28,520 --> 00:41:35,960 transition slides, um, where you want to you know, kind of demarcate different parts of the talk and 335 00:41:35,960 --> 00:41:42,200 keep the listener situated within the whole structure of the talk? Yeah. So, so, sometimes you know 336 00:41:42,200 --> 00:41:48,520 we're not just presenting at a conference we are giving an invited lecture at another institution 337 00:41:48,520 --> 00:41:53,960 and so instead of speaking for 10 minutes we're speaking for 40 maybe even 45 minutes. 338 00:41:53,960 --> 00:42:04,360 And, and in that kind of talk, then you are, you've got multiple threads that you're going, you'll 339 00:42:04,360 --> 00:42:14,120 be telling two three maybe four stories in that in that kind of, kind of talking, and you need to 340 00:42:15,560 --> 00:42:26,200 you need to develop a, a pace and, and transitions between, between those stories, and so 341 00:42:26,200 --> 00:42:34,040 I think a real interesting approach, is the approach maybe of a TED talk. 342 00:42:34,040 --> 00:42:41,560 Perhaps having a scene that doesn't necessarily have an assertion because an assertion's not important 343 00:42:41,560 --> 00:42:47,480 you're not really taking a step up the mountain but rather it's more translational you're moving from 344 00:42:47,480 --> 00:42:57,720 this mountain to this other mountain and it might be a repetition of what I call the mapping slide 345 00:42:57,720 --> 00:43:05,160 of the talk where you've got the topics or, or maybe your names of your stories. But then I've got an 346 00:43:05,160 --> 00:43:12,760 image that kind of represents that story and so you've got, let's say you're doing four. So you've 347 00:43:12,760 --> 00:43:21,160 got four on there but that, that transition slide could have three of them kind of in black and white 348 00:43:21,160 --> 00:43:27,960 and in the one you're now going to cover in color. Or, or you could make that one bigger and the other 349 00:43:27,960 --> 00:43:35,560 one's just kind of small you know, in, in some such a way. I think that's where some nice creativity can 350 00:43:35,560 --> 00:43:44,920 come in but it's purposeful because it's, it's teaching the audience how to look at the talk. So, TED style 351 00:43:44,920 --> 00:43:55,720 So, when I watch a TED talk, a lot of times I'll, I'll gather some, some good ideas for things that I might 352 00:43:55,720 --> 00:44:05,480 use in my own talk and some of the people behind TED talks are, are thoughtful artists. You talked about 353 00:44:05,480 --> 00:44:14,280 Simplicity, Garr Reynolds, who thinks a lot about Japanese gardens when he thinks about designing a slide 354 00:44:14,280 --> 00:44:24,760 is, just, but in terms, you know having a really simple, but everything, everything that is shown 355 00:44:24,760 --> 00:44:33,320 matters. I, you know, I would take a look at Nancy Duarte also thinks a lot about different types 356 00:44:33,320 --> 00:44:39,800 of visual evidence to use. There's some good people who've, who've done some thinking there. All right. 357 00:44:39,800 --> 00:44:46,440 Yeah. I'll, I'll just share how I did it in this, in the talk that I mentioned from our field earlier. 358 00:44:46,440 --> 00:44:51,640 So, this talk is called the neural basis of recovery from aphasia after stroke. So, that's a big topic 359 00:44:51,640 --> 00:44:58,520 that's not an assertion and it kind of has three sections, three studies that it focuses on and what I 360 00:44:58,520 --> 00:45:04,360 do is, on the, on you know, on the first slide, basically at the start of the talk, I have a key figure 361 00:45:04,360 --> 00:45:10,120 from each of those three papers and I arrange them diagonally down the slide and this is by the way 362 00:45:10,120 --> 00:45:16,760 just ripped off of your book. So, thank you! (Laughter) And so, I've got those three key figures. It's like the, you 363 00:45:16,760 --> 00:45:23,400 Know, the best figure from each paper and I, and I dim out two of them, so I show all three and I 364 00:45:23,400 --> 00:45:27,400 said I'm going to talk about this, this and this. Then I dim out two of them, leaving the first one 365 00:45:27,400 --> 00:45:33,480 still bright and then I talk about that first paper. When I'm finished, I pull that, I bring that, I 366 00:45:33,480 --> 00:45:38,120 have that slide again, so and then you just see still bright, is the one that I've just been talking 367 00:45:38,120 --> 00:45:43,880 about and then I dim it, and I lighten up the next one and so you can kind of get that visual 368 00:45:44,760 --> 00:45:48,920 anchoring of where you are in the talk and you know oh okay, I'm on, now on the second of these three 369 00:45:48,920 --> 00:45:53,320 Things. I can, like I can kind of wrap up that first part in my mind and okay I've learned from that. 370 00:45:53,320 --> 00:45:59,160 Now I'm going to, now he's going to talk about this. So, it really works well and like I never knew how 371 00:45:59,160 --> 00:46:03,160 to do this until I read your book. Like I think you, I just have like you know, at the start of my talk 372 00:46:03,160 --> 00:46:08,120 I'd have like bullet points, these are the things I'm going to talk about and then you know you'd go 373 00:46:08,120 --> 00:46:11,720 into them and like the audience would completely forget where you were in the whole story and it 374 00:46:11,720 --> 00:46:25,400 would become very boring and I'm confusing. I think one thing I would just say, I think at the start like late 1990s early 2000s, I had 375 00:46:25,400 --> 00:46:30,680 these principles: build your talk on messages done on topics, support those messages with visual 376 00:46:30,680 --> 00:46:37,560 evidence, not bullet list, but then, but then things such as that you know, that angled 377 00:46:38,440 --> 00:46:46,360 set of images that was some student, who just thought well this is how I'm going to do it and 378 00:46:46,360 --> 00:46:54,280 and then I thought oh my gosh, that's fantastic. That's fantastic. I'm going to use that and, and so 379 00:46:54,280 --> 00:47:02,440 I still see people, reinvent this approach by coming up, is the creativity of coming up with 380 00:47:02,440 --> 00:47:12,920 different visual evidence combining types of things yeah in I mean having a graph but then maybe 381 00:47:12,920 --> 00:47:22,520 somehow incorporating an image, you know, to represent a curve in the graph. Yeah, yeah it's, it's 382 00:47:22,520 --> 00:47:26,840 that you give principles, but then there's like this room for creativity about how you implement them. 383 00:47:27,400 --> 00:47:33,800 Um, so, the last section of your book talks about some practical presentation related topics like your 384 00:47:33,800 --> 00:47:41,240 Voice, your movements, whether your hands and head and body, what to wear, eye contact, paying attention 385 00:47:41,240 --> 00:47:48,760 to the audience responding to AV mishaps, belligerent questions, um and so on. You have this particularly 386 00:47:48,760 --> 00:47:54,920 and so, I think readers, sorry listeners can go check out your book for all of those details, but you have 387 00:47:54,920 --> 00:47:59,960 this one particularly entertaining anecdote about your wife giving an address in front of 2,000 388 00:47:59,960 --> 00:48:05,160 people in Copenhagen. Do you remember that one and could you share it with our listeners? 389 00:48:05,160 --> 00:48:12,520 So, this was a big presentation for my wife. It was not a long presentation but it was part of the 390 00:48:12,520 --> 00:48:20,840 opening ceremony of this conference on gas turbines and so it had people from Europe people from 391 00:48:21,640 --> 00:48:28,520 North America, South America, and people from Asia were there and this was her moment 392 00:48:28,520 --> 00:48:39,880 to be on the big stage and she prepared. She really worked hard on this short segment but during 393 00:48:39,880 --> 00:48:48,680 that segment just as she was speaking she was doing really well, boom, lights went off. Now, the sound 394 00:48:48,680 --> 00:48:58,520 system was still working and so she could hear that her voice was still being projected, and she kept going 395 00:48:58,520 --> 00:49:04,120 because she realized the audience didn't necessarily need to see anything on the screen 396 00:49:04,120 --> 00:49:11,240 she had prepared she didn't need to read anything she knew the direction that she was going 397 00:49:11,240 --> 00:49:20,440 and she just kept going and then the lights came back on and she didn't she didn't break stride she 398 00:49:20,440 --> 00:49:28,680 just kept and she finished but as she was finishing she had a part of her talk where she talked about 399 00:49:28,680 --> 00:49:38,120 the importance of engineers what it is they do, and she had an example certainly about gas turbines 400 00:49:38,120 --> 00:49:47,240 but then it was a natural thing she also said such as keeping the lights on and I mean the 401 00:49:47,240 --> 00:49:56,840 crowd just erupted but it was laughter, but it was it was so natural spontaneous, and it was natural 402 00:49:56,840 --> 00:50:03,800 as, as humans should be. Yeah, so you probably don't want to be writing jokes into your talk but if 403 00:50:03,800 --> 00:50:09,560 your talk is well prepared and you're comfortable and well prepared then when those humorous moments 404 00:50:09,560 --> 00:50:15,640 arise you're going to be positioned to take advantage of them and say something funny. Yes. 405 00:50:15,640 --> 00:50:22,760 Yeah. Okay, great so we've kind of talked through some of the, some of the highlights of your book 406 00:50:22,760 --> 00:50:30,200 we've really only scratched the surface. I want to kind of just encourage again our listeners to 407 00:50:30,920 --> 00:50:35,800 get this book buy it or check it out from your library and I've linked the book in the show notes 408 00:50:35,800 --> 00:50:41,480 so, you can find it easily it's just filled with you know, the obviously this, this 409 00:50:41,480 --> 00:50:46,600 Assertion-evidence concept is at the core of the book, but it's also filled with advice related 410 00:50:46,600 --> 00:50:53,000 content and structure details about your slides and your delivery and how to prepare and all kinds 411 00:50:53,000 --> 00:51:00,120 of stuff it's just very valuable. Like I said, this book was very influential on me as a scientist and 412 00:51:00,120 --> 00:51:07,800 and realizing that communicating our ideas and findings effectively is a very important part of the 413 00:51:07,800 --> 00:51:13,480 Job. So, this is not the end of this. I would encourage you all to go check out Michael's book 414 00:51:13,480 --> 00:51:19,720 and yeah, thank you very much Michael for joining me today and, and sharing it in your own words 415 00:51:19,720 --> 00:51:29,400 with our listeners. Well, thank you Stephen. I appreciate the reflection of my book in what it is 416 00:51:29,400 --> 00:51:38,040 that you do. I mean that's why we do things. Why you do your podcast, to reach audiences and give 417 00:51:38,040 --> 00:51:45,720 them information that will help them, you know, aim higher, reach higher and that's why I write books 418 00:51:45,720 --> 00:51:52,120 to have scientists such as you, lift up their presentations. Thank you very much. 419 00:51:52,120 --> 00:51:57,320 Oh, thank you. I really appreciate your time. Okay, well that's it for episode 38. Thank you Michael for coming 420 00:51:57,320 --> 00:52:03,160 on the show. Thank you all for listening. Thanks to Marcia Petyt for editing the transcript of this 421 00:52:03,160 --> 00:52:09,080 episode. I've linked everything that we discussed in the show notes to the podcast 422 00:52:09,080 --> 00:52:15,240 so, you can find the book and some other key links. Bye for now, see you next time. 423 00:52:15,240 --> 00:52:25,400 [Music]