WEBVTT

1
00:00:11.880 --> 00:00:16.480
<v Speaker 1>Hello everyone, and welcome to Talk Nerdy. Today is Monday,

2
00:00:16.519 --> 00:00:19.719
<v Speaker 1>August tenth, twenty twenty six, and I'm the host of

3
00:00:19.760 --> 00:00:23.239
<v Speaker 1>the show Doctor Kara Santa Maria, and I am back

4
00:00:23.600 --> 00:00:28.760
<v Speaker 1>from a trip to Australia and New Zealand where I

5
00:00:28.839 --> 00:00:35.000
<v Speaker 1>had so so much fun traveling with my sgu cohort Steve,

6
00:00:35.280 --> 00:00:39.439
<v Speaker 1>Bob and Jay, as well as Angela Jones, Roy and

7
00:00:39.479 --> 00:00:43.560
<v Speaker 1>Brian Weckt, as well as my partner and the partners

8
00:00:43.640 --> 00:00:47.439
<v Speaker 1>and family of some of my colleagues. It was a

9
00:00:47.520 --> 00:00:51.799
<v Speaker 1>huge group and we managed to be drama free, although

10
00:00:51.840 --> 00:00:54.359
<v Speaker 1>a bunch of us got sick, which I guess is

11
00:00:54.359 --> 00:00:57.240
<v Speaker 1>to be expected when you're traveling to the Southern Hemisphere

12
00:00:57.280 --> 00:01:01.359
<v Speaker 1>so the winter in some time, it's a drastic shift,

13
00:01:01.359 --> 00:01:04.159
<v Speaker 1>and of course there are all of those fun viruses

14
00:01:04.200 --> 00:01:08.640
<v Speaker 1>that are floating around during the season. But I'm back

15
00:01:08.719 --> 00:01:13.319
<v Speaker 1>now and somewhat over the jet lag, and gosh, I

16
00:01:13.359 --> 00:01:16.120
<v Speaker 1>just had so much fun, both at the Australian Skeptics

17
00:01:16.120 --> 00:01:19.200
<v Speaker 1>meeting where we did not a con, as well as

18
00:01:19.519 --> 00:01:21.959
<v Speaker 1>the meeting of the New Zealand Skeptics and all of

19
00:01:21.959 --> 00:01:25.159
<v Speaker 1>the cool stuff that we did in between. I visited

20
00:01:25.879 --> 00:01:33.159
<v Speaker 1>fabulous Maudi spa in rohod Arua on the North Island

21
00:01:33.159 --> 00:01:37.159
<v Speaker 1>of New Zealand. We went to Hobbiton which was interesting,

22
00:01:37.760 --> 00:01:42.000
<v Speaker 1>very very cool. We spent some time in Sydney in

23
00:01:42.879 --> 00:01:45.640
<v Speaker 1>Australia and also in christ Church in New Zealand for

24
00:01:45.719 --> 00:01:49.879
<v Speaker 1>the conferences, and went to the Zoo and Wellington on

25
00:01:49.920 --> 00:01:52.920
<v Speaker 1>the North Island. Just so much fun and I got

26
00:01:52.920 --> 00:01:55.239
<v Speaker 1>to meet some of you, which is awesome, awesome, awesome.

27
00:01:55.280 --> 00:01:58.319
<v Speaker 1>So before we get into this week's episode, as always,

28
00:01:58.319 --> 00:02:00.239
<v Speaker 1>I want to thank those of you who make Talk

29
00:02:00.400 --> 00:02:05.359
<v Speaker 1>Nerdy possible. If you're interested in pledging your support still

30
00:02:05.400 --> 00:02:07.920
<v Speaker 1>for the time being on an episodic basis, all you've

31
00:02:07.920 --> 00:02:10.919
<v Speaker 1>got to do is visit patreon dot com slash talk

32
00:02:11.120 --> 00:02:15.199
<v Speaker 1>Nerdy to learn more. This week's top patrons include Chuck Blell,

33
00:02:15.680 --> 00:02:20.080
<v Speaker 1>David J. E. Smith, Daniel Lang, Will DeFraine, David Compton,

34
00:02:20.280 --> 00:02:25.199
<v Speaker 1>Brian Holden, Gabo Jay l Rika Hagman and wouldn't you

35
00:02:25.280 --> 00:02:30.319
<v Speaker 1>know it, Pascale Galotti. Pascali Galotti, I got to meet

36
00:02:30.360 --> 00:02:34.360
<v Speaker 1>you in person. You're freaking awesome. That was so much fun.

37
00:02:34.439 --> 00:02:36.560
<v Speaker 1>I'm so glad that we got to spend a little

38
00:02:36.560 --> 00:02:38.759
<v Speaker 1>bit of quality time. Wish it had been more. I

39
00:02:38.759 --> 00:02:40.879
<v Speaker 1>got to learn how to say your name correctly. Gosh,

40
00:02:40.960 --> 00:02:43.520
<v Speaker 1>I hope I'm still not butchering it. I've said Galotti

41
00:02:43.599 --> 00:02:47.960
<v Speaker 1>for years. Pascali Galotti, you are awesome.

42
00:02:48.000 --> 00:02:48.280
<v Speaker 2>Thank you.

43
00:02:48.439 --> 00:02:53.280
<v Speaker 1>Thank you as well as Mary Neiva, Rica Maharaj, Joe Wilkinson,

44
00:02:53.960 --> 00:02:56.120
<v Speaker 1>and so many more of you. Thank you all so

45
00:02:56.280 --> 00:02:59.400
<v Speaker 1>much from the bottom of my heart. All right, let's

46
00:02:59.439 --> 00:03:01.599
<v Speaker 1>get into thank you it. This week I had the

47
00:03:01.639 --> 00:03:07.439
<v Speaker 1>opportunity to chat with ROBERTA Quak. She is a science writer.

48
00:03:07.800 --> 00:03:11.280
<v Speaker 1>She's written for a ton of different outlets, from The

49
00:03:11.319 --> 00:03:14.039
<v Speaker 1>New York Times to The New Yorker to New Scientist

50
00:03:14.280 --> 00:03:18.599
<v Speaker 1>audubonn She has a fellowship from the Night Science Journalism

51
00:03:18.639 --> 00:03:23.000
<v Speaker 1>Program at MIT, a grant from the Alfred P. Sloan Foundation.

52
00:03:23.199 --> 00:03:27.439
<v Speaker 1>She's won awards from Triple As, the American Geophysical Union,

53
00:03:28.520 --> 00:03:31.919
<v Speaker 1>and she worked in a science lab before she became

54
00:03:31.960 --> 00:03:35.800
<v Speaker 1>a science journalist and is very, very interested in the

55
00:03:35.879 --> 00:03:39.439
<v Speaker 1>scientific process. So she has a new book out called

56
00:03:39.680 --> 00:03:45.759
<v Speaker 1>Lost in Curiosity Field Notes from Scientists' Adventures into the Unknown. So,

57
00:03:45.840 --> 00:03:52.280
<v Speaker 1>without any further ado, here she is Roberta Quack. Well, Roberta,

58
00:03:52.319 --> 00:03:54.199
<v Speaker 1>thank you so much for joining me today.

59
00:03:54.840 --> 00:03:56.759
<v Speaker 2>I'm excited to be here. Thanks so much for having

60
00:03:56.759 --> 00:03:58.159
<v Speaker 2>me on me too.

61
00:03:58.240 --> 00:04:01.240
<v Speaker 1>So we're gonna be talking about your new book, Lost

62
00:04:01.400 --> 00:04:06.800
<v Speaker 1>in Curiosity, field notes from Scientists' Adventures into the Unknown.

63
00:04:07.400 --> 00:04:11.240
<v Speaker 1>But before we get into the actual kind of content

64
00:04:11.560 --> 00:04:14.520
<v Speaker 1>of the book, I'd love to take some time just

65
00:04:14.520 --> 00:04:16.519
<v Speaker 1>to get to know you a little bit more. And

66
00:04:16.839 --> 00:04:21.000
<v Speaker 1>you're positioning to or within the book. So you're a

67
00:04:21.040 --> 00:04:25.800
<v Speaker 1>science writer, but before you became a science journalist, you

68
00:04:26.000 --> 00:04:30.480
<v Speaker 1>worked in the sciences. It's it's always interesting to me

69
00:04:30.519 --> 00:04:32.199
<v Speaker 1>when I talk to folks who are sort of on

70
00:04:32.319 --> 00:04:37.519
<v Speaker 1>that line between doing science and writing about science, or

71
00:04:38.040 --> 00:04:41.079
<v Speaker 1>maybe they've spent a whole career as a science communicator

72
00:04:41.160 --> 00:04:44.160
<v Speaker 1>or a science journalist. Some people it seems like kind

73
00:04:44.160 --> 00:04:47.360
<v Speaker 1>of go through the j school route and then they

74
00:04:47.480 --> 00:04:51.160
<v Speaker 1>learn the beat while they're doing the work. And then

75
00:04:51.240 --> 00:04:53.319
<v Speaker 1>other folks I do notice there's like a subset of

76
00:04:53.319 --> 00:04:57.839
<v Speaker 1>science writers who were scientists, like they were trained in

77
00:04:57.920 --> 00:05:00.879
<v Speaker 1>the sciences and then decided, you know what I want

78
00:05:00.879 --> 00:05:02.399
<v Speaker 1>to I want to write about this. I think that's

79
00:05:02.680 --> 00:05:05.639
<v Speaker 1>that's more my bag. Would you consider yourself in that camp?

80
00:05:07.240 --> 00:05:09.720
<v Speaker 2>Yes, I'm in the second camp, though I would say

81
00:05:09.800 --> 00:05:13.800
<v Speaker 2>I'm maybe only partly trained in the sciences because I

82
00:05:13.879 --> 00:05:17.639
<v Speaker 2>did my undergrad in biology, and I did sort of,

83
00:05:18.000 --> 00:05:20.639
<v Speaker 2>you know, bounce around between a few labs for you know,

84
00:05:20.759 --> 00:05:24.680
<v Speaker 2>summer internships. And I did work after graduation in a

85
00:05:24.720 --> 00:05:29.439
<v Speaker 2>genetics lab as you mentioned. But I didn't do I

86
00:05:29.439 --> 00:05:33.040
<v Speaker 2>didn't go through like the ordeal of a PhD as

87
00:05:33.079 --> 00:05:35.639
<v Speaker 2>a lot of my fellow science writers have, where they

88
00:05:35.959 --> 00:05:38.360
<v Speaker 2>get part way through their pg D and then they're like, oh,

89
00:05:38.399 --> 00:05:40.279
<v Speaker 2>my gosh, I can't do this. I don't want to

90
00:05:40.319 --> 00:05:43.120
<v Speaker 2>be a scientists for the rest of my life. So

91
00:05:43.519 --> 00:05:46.279
<v Speaker 2>luckily I figured that out before I went into a

92
00:05:46.360 --> 00:05:50.920
<v Speaker 2>PhD program. I had kind of a weird what happened

93
00:05:50.959 --> 00:05:54.199
<v Speaker 2>I'm thinking back. So I did my undergrad in biology.

94
00:05:54.759 --> 00:05:57.759
<v Speaker 2>I actually worked in software engineering for a while. I

95
00:05:57.800 --> 00:06:00.439
<v Speaker 2>was living in Silicon Valley, so everyone was doing that.

96
00:06:01.199 --> 00:06:04.399
<v Speaker 2>And then so the genetics lab work. I was actually

97
00:06:04.439 --> 00:06:06.959
<v Speaker 2>a software engineer. I wasn't like doing things with test

98
00:06:06.959 --> 00:06:08.360
<v Speaker 2>tubes or pipets or anything.

99
00:06:09.079 --> 00:06:09.319
<v Speaker 1>Uh.

100
00:06:09.360 --> 00:06:16.519
<v Speaker 2>And then from there I switched into creative writing, fiction writing,

101
00:06:17.399 --> 00:06:20.920
<v Speaker 2>and then took a left turn again into science journalism.

102
00:06:20.959 --> 00:06:22.639
<v Speaker 2>So that's how I ended up where I am now.

103
00:06:23.120 --> 00:06:27.240
<v Speaker 1>Oh interesting, So you you know, you obviously chose to

104
00:06:27.439 --> 00:06:31.879
<v Speaker 1>major in biology because there because it was interesting to you,

105
00:06:32.360 --> 00:06:34.560
<v Speaker 1>and it, you know, kept your attention long enough to

106
00:06:34.600 --> 00:06:38.279
<v Speaker 1>get to get through your undergrad But then you didn't

107
00:06:38.639 --> 00:06:42.399
<v Speaker 1>initially have the intention of becoming a science writer.

108
00:06:43.519 --> 00:06:44.920
<v Speaker 2>You mean when I was an undergrad.

109
00:06:45.000 --> 00:06:47.000
<v Speaker 1>Yeah, I mean, I don't sort as you were figuring

110
00:06:47.000 --> 00:06:48.800
<v Speaker 1>out what you wanted to do with your life.

111
00:06:49.319 --> 00:06:52.360
<v Speaker 2>Yes, I don't think I really knew it was even

112
00:06:52.360 --> 00:06:54.639
<v Speaker 2>an option back then, And I hear that from a

113
00:06:54.639 --> 00:06:57.399
<v Speaker 2>lot of science writers that we we didn't even realize

114
00:06:57.519 --> 00:07:00.839
<v Speaker 2>that was something people did as their or it's just

115
00:07:00.920 --> 00:07:03.480
<v Speaker 2>not it's not like a it's just not a common

116
00:07:03.480 --> 00:07:06.519
<v Speaker 2>option that comes to mind. So, you know, the options

117
00:07:06.519 --> 00:07:08.560
<v Speaker 2>seemed like I could try to go to med school,

118
00:07:09.040 --> 00:07:11.680
<v Speaker 2>I could try to go to grad school, and I

119
00:07:11.800 --> 00:07:13.800
<v Speaker 2>kind of didn't want to do either of those things.

120
00:07:13.879 --> 00:07:17.600
<v Speaker 2>But since so many people were doing computer scientists was

121
00:07:17.720 --> 00:07:20.920
<v Speaker 2>like early what two thousands in the Bay areas, so

122
00:07:20.959 --> 00:07:23.000
<v Speaker 2>that's all that anyone was thinking about. This must have

123
00:07:23.040 --> 00:07:25.560
<v Speaker 2>been like right before the dot com bust or something

124
00:07:26.040 --> 00:07:29.480
<v Speaker 2>and so or boom boom and then bust. But yeah,

125
00:07:29.519 --> 00:07:33.879
<v Speaker 2>so I I instead kind of went to a bionformatics

126
00:07:33.920 --> 00:07:37.240
<v Speaker 2>company where I was doing, you know, programming, and that's

127
00:07:37.240 --> 00:07:38.399
<v Speaker 2>how I ended up on that path.

128
00:07:39.639 --> 00:07:44.439
<v Speaker 1>It's very cool. And so you know, throughout your career, then,

129
00:07:44.759 --> 00:07:48.399
<v Speaker 1>how have you twisted and turned? Like have you kind

130
00:07:48.399 --> 00:07:51.720
<v Speaker 1>of stayed the course? Have you had specific beats within science?

131
00:07:52.199 --> 00:07:54.720
<v Speaker 1>Do you tend to you know, write more long form,

132
00:07:54.839 --> 00:07:57.680
<v Speaker 1>do you tend to write more kind of fast coverage,

133
00:07:57.720 --> 00:07:59.160
<v Speaker 1>like how what has been your approach?

134
00:08:00.399 --> 00:08:02.600
<v Speaker 2>Yeah, I mean, I think most science writers when they're

135
00:08:02.639 --> 00:08:06.519
<v Speaker 2>starting out, we do news articles because you know, they're shorter,

136
00:08:06.639 --> 00:08:08.800
<v Speaker 2>they're easier to manage. You know, it's a few interviews,

137
00:08:08.879 --> 00:08:11.680
<v Speaker 2>you get it done within a day or a few days.

138
00:08:12.160 --> 00:08:14.680
<v Speaker 2>So most of us will cut our teeth doing that.

139
00:08:15.680 --> 00:08:18.000
<v Speaker 2>And then you know, as time went on, I started

140
00:08:18.000 --> 00:08:19.879
<v Speaker 2>to get more ambitious, like I wanted to do more

141
00:08:20.000 --> 00:08:23.160
<v Speaker 2>narrative features. And I think that was partly two from

142
00:08:23.560 --> 00:08:26.199
<v Speaker 2>that training that I had in fiction writing for the

143
00:08:26.319 --> 00:08:29.680
<v Speaker 2>MFA program. You know, you learn all these tools of

144
00:08:29.680 --> 00:08:32.840
<v Speaker 2>the trade, these you know, craft techniques for you know,

145
00:08:32.879 --> 00:08:37.320
<v Speaker 2>creating scenes and dialogue and character and setting and all that,

146
00:08:37.480 --> 00:08:39.639
<v Speaker 2>and so I wanted to put some of that to

147
00:08:39.799 --> 00:08:43.840
<v Speaker 2>use in my science writing too. So I did start

148
00:08:43.879 --> 00:08:46.399
<v Speaker 2>to try to pitch and write more features at that

149
00:08:46.559 --> 00:08:51.559
<v Speaker 2>point and then yeah, and then I guess after maybe

150
00:08:51.879 --> 00:08:55.720
<v Speaker 2>decade or so, is when I started thinking about like

151
00:08:55.919 --> 00:08:58.320
<v Speaker 2>going to the book route and taking on an even

152
00:08:58.440 --> 00:08:59.759
<v Speaker 2>bigger project.

153
00:09:00.200 --> 00:09:06.120
<v Speaker 1>Narratively speaking, it's a I think it's like super super scary.

154
00:09:06.320 --> 00:09:08.799
<v Speaker 1>I have not taken the plunge. I have you know,

155
00:09:09.000 --> 00:09:15.039
<v Speaker 1>received let's say, encouragement to do so, and it just

156
00:09:15.360 --> 00:09:22.720
<v Speaker 1>it's such a daunting task to me to sit down, conceptualize, pitch, edit,

157
00:09:23.000 --> 00:09:24.919
<v Speaker 1>right and edit and right and edit and right and

158
00:09:25.080 --> 00:09:28.840
<v Speaker 1>edit a full length book. So I'm curious, how did

159
00:09:28.879 --> 00:09:32.519
<v Speaker 1>you even begin that process? How did you even choose

160
00:09:32.559 --> 00:09:33.639
<v Speaker 1>what you wanted to write about?

161
00:09:34.720 --> 00:09:37.679
<v Speaker 2>Yeah, I mean, I guess if we're talking about the

162
00:09:37.759 --> 00:09:40.360
<v Speaker 2>idea for this book and how that started, I mean

163
00:09:40.440 --> 00:09:45.480
<v Speaker 2>that actually started when I was in that MFA program

164
00:09:45.519 --> 00:09:49.600
<v Speaker 2>in fiction writing. So I was taking an essay writing

165
00:09:49.639 --> 00:09:52.639
<v Speaker 2>class and I needed a topic for an essay assignment,

166
00:09:53.240 --> 00:09:56.840
<v Speaker 2>and I happened to be friends with this evolutionary biologist Ben,

167
00:09:56.879 --> 00:09:59.919
<v Speaker 2>who was doing his PhD program at the same university,

168
00:10:00.039 --> 00:10:04.279
<v Speaker 2>and he was studying sunflower genetics, and so I thought, well,

169
00:10:04.320 --> 00:10:06.559
<v Speaker 2>it would be fun to you know, follow Ben around

170
00:10:06.600 --> 00:10:11.320
<v Speaker 2>on his experiments and write a narrative essay about his research.

171
00:10:11.600 --> 00:10:17.039
<v Speaker 2>So I followed him on a twenty hour experiment where

172
00:10:17.039 --> 00:10:20.639
<v Speaker 2>we were taking leaf samples every few hours, and we

173
00:10:20.679 --> 00:10:23.240
<v Speaker 2>started at seven am, we ended at three am the

174
00:10:23.279 --> 00:10:26.960
<v Speaker 2>following morning, and there were basically like kind of a

175
00:10:27.039 --> 00:10:29.879
<v Speaker 2>series of unfortunate events, which you know, the upshot was

176
00:10:29.919 --> 00:10:32.519
<v Speaker 2>that Ben decided at the end at three am that

177
00:10:32.639 --> 00:10:35.720
<v Speaker 2>he would probably just have to redo the entire experiment no,

178
00:10:37.759 --> 00:10:41.519
<v Speaker 2>which I'm guessing some scientists in your audience will identify.

179
00:10:43.159 --> 00:10:48.240
<v Speaker 2>And so that I mean that that just stayed with

180
00:10:48.320 --> 00:10:51.559
<v Speaker 2>me because you know, it just brought home his his dedication,

181
00:10:51.720 --> 00:10:54.240
<v Speaker 2>his perseverance, like to him, but wasn't even a big deal, like,

182
00:10:54.279 --> 00:10:55.759
<v Speaker 2>oh yeah, of course, I'll just do it all again.

183
00:10:57.000 --> 00:11:00.399
<v Speaker 2>And so I was keeping that in the back of

184
00:11:00.480 --> 00:11:02.559
<v Speaker 2>my mind that you know, I was interested in this

185
00:11:02.639 --> 00:11:06.200
<v Speaker 2>idea of the scientific process and all the labor that

186
00:11:06.279 --> 00:11:10.200
<v Speaker 2>happens behind the scenes, all the you know, obstacles and

187
00:11:10.919 --> 00:11:13.559
<v Speaker 2>challenges and the human struggle that happens behind the scenes

188
00:11:13.600 --> 00:11:17.600
<v Speaker 2>before you get to that result. So that was percolating

189
00:11:17.720 --> 00:11:20.559
<v Speaker 2>for a long time, and then it was maybe after

190
00:11:20.799 --> 00:11:23.200
<v Speaker 2>like ten or twelve years later that I thought I

191
00:11:23.240 --> 00:11:26.559
<v Speaker 2>could write a book where I'd follow a different research

192
00:11:27.120 --> 00:11:29.759
<v Speaker 2>project from a different field of science in each chapter.

193
00:11:30.320 --> 00:11:35.519
<v Speaker 2>So we'd have like astronomy, geology, evolutionary biology, whatever, and

194
00:11:35.639 --> 00:11:38.799
<v Speaker 2>then each chapter would follow that person or that teen's

195
00:11:38.919 --> 00:11:41.399
<v Speaker 2>journey through their research question.

196
00:11:42.320 --> 00:11:45.120
<v Speaker 1>I love that, so, you know, I've it's interesting because

197
00:11:45.120 --> 00:11:46.759
<v Speaker 1>I feel like I've had a few folks on the

198
00:11:46.759 --> 00:11:52.000
<v Speaker 1>show before who were more sort of like process oriented, right,

199
00:11:52.080 --> 00:11:54.720
<v Speaker 1>really asking the questions that I find the most interesting,

200
00:11:54.720 --> 00:11:56.360
<v Speaker 1>which is not so much what do we know? But

201
00:11:56.440 --> 00:11:59.360
<v Speaker 1>like how how do we know what we know? And

202
00:11:59.399 --> 00:12:01.200
<v Speaker 1>how do we know what we don't know? And what

203
00:12:01.279 --> 00:12:03.039
<v Speaker 1>are all the twists and turns that come along in

204
00:12:03.039 --> 00:12:05.600
<v Speaker 1>the path. But I feel like most of the time

205
00:12:05.679 --> 00:12:09.080
<v Speaker 1>when we discuss that sort of process of science, it's

206
00:12:09.120 --> 00:12:13.440
<v Speaker 1>from like a historian perspective. So maybe somebody will have

207
00:12:13.480 --> 00:12:18.759
<v Speaker 1>written a book about a particular scientist or a particular discovery,

208
00:12:18.799 --> 00:12:22.440
<v Speaker 1>and they'll have, you know, dug deep into the archives

209
00:12:22.480 --> 00:12:24.320
<v Speaker 1>to tell the real story of it, and not like

210
00:12:24.360 --> 00:12:27.399
<v Speaker 1>the simplified loan genius story that we often hear. But

211
00:12:27.480 --> 00:12:30.120
<v Speaker 1>I love that your approach is more contemporary. It's kind

212
00:12:30.159 --> 00:12:32.720
<v Speaker 1>of like what is what are how are these people

213
00:12:32.759 --> 00:12:33.080
<v Speaker 1>doing this?

214
00:12:33.200 --> 00:12:36.799
<v Speaker 2>Now, yeah, I think that's true that a lot of it.

215
00:12:36.879 --> 00:12:39.639
<v Speaker 2>You'll find a lot of those stories in you know,

216
00:12:39.919 --> 00:12:43.000
<v Speaker 2>history books, and those stories are fascinating too, right, like

217
00:12:43.399 --> 00:12:47.120
<v Speaker 2>going back and hearing the twist and turns that you know,

218
00:12:47.159 --> 00:12:49.639
<v Speaker 2>the scientist went through to get to this big discovery.

219
00:12:50.320 --> 00:12:53.159
<v Speaker 2>And I think the advantage of advantage of doing a

220
00:12:53.240 --> 00:12:56.200
<v Speaker 2>contemporary approach is that, I mean I get to see

221
00:12:56.200 --> 00:12:59.000
<v Speaker 2>it happening in real time, like in front of my eyes, right,

222
00:12:59.039 --> 00:13:02.960
<v Speaker 2>Like I get to be in the field with the scientists,

223
00:13:03.600 --> 00:13:06.519
<v Speaker 2>you know, in Greenland when they're trying to study this glacier,

224
00:13:06.919 --> 00:13:10.559
<v Speaker 2>or I get to I mean sometimes it's remote, like

225
00:13:10.639 --> 00:13:13.799
<v Speaker 2>one scientist was trying to study these frogs in Borneo,

226
00:13:13.879 --> 00:13:15.559
<v Speaker 2>and even though I wasn't there with her, I was

227
00:13:15.600 --> 00:13:18.279
<v Speaker 2>like getting her updates and we were, you know, communicating

228
00:13:18.320 --> 00:13:21.000
<v Speaker 2>a lot about all the obstacles that she was coming

229
00:13:21.080 --> 00:13:23.440
<v Speaker 2>up against. So I think just getting to see it

230
00:13:23.519 --> 00:13:25.840
<v Speaker 2>unfold in real time, and we can't really do that

231
00:13:25.879 --> 00:13:28.679
<v Speaker 2>with historical stories, right You're trying to reconstruct things from

232
00:13:28.720 --> 00:13:32.720
<v Speaker 2>documents or letters or something. But if you can just

233
00:13:32.840 --> 00:13:34.559
<v Speaker 2>be there and the thick of it with them, that's

234
00:13:34.679 --> 00:13:37.480
<v Speaker 2>great because you can construct scenes from that, and I

235
00:13:37.480 --> 00:13:40.039
<v Speaker 2>think that's part of what can help draw readers in

236
00:13:40.120 --> 00:13:42.320
<v Speaker 2>is to feel like they're really there with the scientists.

237
00:13:43.759 --> 00:13:48.840
<v Speaker 1>Yeah, you know, It's it's different now too, because science

238
00:13:49.080 --> 00:13:51.840
<v Speaker 1>is I mean, I feel like the I guess the

239
00:13:51.879 --> 00:13:59.120
<v Speaker 1>philosophy of science has maybe been clarified, and there have

240
00:13:59.240 --> 00:14:03.320
<v Speaker 1>been some adjustments, some updates, you know, since kind of

241
00:14:04.159 --> 00:14:10.240
<v Speaker 1>early scientific thought. But ultimately the biggest leap, especially even

242
00:14:10.360 --> 00:14:13.120
<v Speaker 1>like within the last five, ten twenty years, has been

243
00:14:13.679 --> 00:14:17.519
<v Speaker 1>the technology, the advancements that scientists use, right, Like, Okay,

244
00:14:17.600 --> 00:14:19.960
<v Speaker 1>I want to answer this question or I'm really interested

245
00:14:20.000 --> 00:14:25.759
<v Speaker 1>in interrogating this unknown and I don't know how to

246
00:14:25.759 --> 00:14:28.000
<v Speaker 1>do it. So I'm going to try and develop a tool,

247
00:14:28.480 --> 00:14:30.120
<v Speaker 1>and then now that I have this tool, I can

248
00:14:30.440 --> 00:14:32.960
<v Speaker 1>I can dig a little bit deeper. Do you find

249
00:14:32.960 --> 00:14:36.120
<v Speaker 1>that sometimes when you are kind of embedded with scientists

250
00:14:36.159 --> 00:14:39.440
<v Speaker 1>and you're working with them, that it's easy to get

251
00:14:39.480 --> 00:14:43.039
<v Speaker 1>caught up in the technology, the how all of this

252
00:14:43.080 --> 00:14:45.440
<v Speaker 1>stuff happens because it's so sophisticated.

253
00:14:45.519 --> 00:14:50.679
<v Speaker 2>Now, Yeah, I mean, I guess it was sometimes it

254
00:14:50.720 --> 00:14:53.919
<v Speaker 2>was tricky to figure out, Okay, how deep into the

255
00:14:53.919 --> 00:14:56.519
<v Speaker 2>weeds are we going to go on the methodology? Right?

256
00:14:57.039 --> 00:15:00.440
<v Speaker 2>Because in some sense. I mean, that's where the story

257
00:15:00.480 --> 00:15:04.120
<v Speaker 2>is happening, right'. It's in the weeds where they're encountering

258
00:15:04.159 --> 00:15:08.480
<v Speaker 2>these obstacles. But you also don't want readers to just

259
00:15:08.519 --> 00:15:11.879
<v Speaker 2>get so lost in the details that we're losing the

260
00:15:11.879 --> 00:15:15.200
<v Speaker 2>bigger narrative. Like so, for example, one chapter is about

261
00:15:15.240 --> 00:15:19.879
<v Speaker 2>astronomers who are trying to detect the first convincing evidence

262
00:15:19.919 --> 00:15:22.879
<v Speaker 2>of an exo moon, so a moon circling a planet

263
00:15:23.000 --> 00:15:27.039
<v Speaker 2>outside our Solar system, And this is incredibly difficult to

264
00:15:27.080 --> 00:15:30.360
<v Speaker 2>two because these planets are very far away, these moons

265
00:15:30.440 --> 00:15:33.320
<v Speaker 2>are often very tiny, they're going to be tiny compared

266
00:15:33.360 --> 00:15:37.399
<v Speaker 2>to their planets, and there's so many other things that

267
00:15:37.480 --> 00:15:40.200
<v Speaker 2>can trick you into thinking that you have found a

268
00:15:40.240 --> 00:15:43.840
<v Speaker 2>signal of a moon when it's actually something else. And

269
00:15:43.919 --> 00:15:47.120
<v Speaker 2>so there is a lot of sort of technological and

270
00:15:47.240 --> 00:15:51.639
<v Speaker 2>methodological detail that goes into, you know, trying to separate

271
00:15:51.720 --> 00:15:54.720
<v Speaker 2>the signal from the noise and trying to make sure

272
00:15:54.799 --> 00:15:57.279
<v Speaker 2>like is this real, is this just kind of a mirage?

273
00:15:58.080 --> 00:16:00.320
<v Speaker 2>Are we just seeing something that we want to see?

274
00:16:00.919 --> 00:16:06.080
<v Speaker 2>And so I had to sort of make some decisions

275
00:16:06.120 --> 00:16:10.879
<v Speaker 2>about when to go into that in great detail and

276
00:16:10.919 --> 00:16:12.720
<v Speaker 2>whether to keep it higher level.

277
00:16:13.080 --> 00:16:16.320
<v Speaker 1>Right, right, And I feel like that's probably always a

278
00:16:16.399 --> 00:16:22.039
<v Speaker 1>science journalist or science writer's struggle among many, But it's

279
00:16:22.240 --> 00:16:25.000
<v Speaker 1>sort of at what level of depth? Because you can

280
00:16:25.080 --> 00:16:29.399
<v Speaker 1>always go deeper, you can always get more technical, you

281
00:16:29.399 --> 00:16:32.559
<v Speaker 1>can always get stuck more in the weeds, and you

282
00:16:32.600 --> 00:16:34.679
<v Speaker 1>can always back off and speak about things in a

283
00:16:34.799 --> 00:16:37.320
<v Speaker 1>much broader, much more general, much more kind of almost

284
00:16:37.320 --> 00:16:45.039
<v Speaker 1>like social or humanistic way. And there's so much latitude there.

285
00:16:45.480 --> 00:16:48.559
<v Speaker 1>And I find that different different science writers really do

286
00:16:48.679 --> 00:16:53.559
<v Speaker 1>approach those questions differently, and it makes for you know,

287
00:16:53.759 --> 00:16:55.759
<v Speaker 1>that's why there are so many different stories about even

288
00:16:55.799 --> 00:16:56.399
<v Speaker 1>the same thing.

289
00:16:58.200 --> 00:17:01.759
<v Speaker 2>Yeah, And I feel like, I mean, if there is

290
00:17:01.840 --> 00:17:05.400
<v Speaker 2>going to be some level of technical detail, it does

291
00:17:05.440 --> 00:17:08.519
<v Speaker 2>have to be sort of balanced out or that there

292
00:17:08.559 --> 00:17:10.839
<v Speaker 2>has to be moments in the book where I zoom

293
00:17:10.920 --> 00:17:13.519
<v Speaker 2>out to those bigger questions so it doesn't just feel

294
00:17:13.559 --> 00:17:16.880
<v Speaker 2>like we're talking about like software programs or something, right, Like,

295
00:17:16.920 --> 00:17:20.119
<v Speaker 2>there has to be like a bigger picture why are

296
00:17:20.160 --> 00:17:22.559
<v Speaker 2>we doing this? Like why are they so fascinated by this?

297
00:17:22.680 --> 00:17:24.759
<v Speaker 2>Like and you know, with the Exo Moon story, it's

298
00:17:24.799 --> 00:17:28.599
<v Speaker 2>really about this. It's this, it's this spirit of discovery

299
00:17:28.599 --> 00:17:31.799
<v Speaker 2>of exploration, you know, finding things that we haven't found before,

300
00:17:31.839 --> 00:17:34.279
<v Speaker 2>being the first to find like the first human to

301
00:17:34.359 --> 00:17:37.960
<v Speaker 2>ever see something for the first time, and it raises

302
00:17:38.000 --> 00:17:42.000
<v Speaker 2>these questions of objectivity and how you can whether you

303
00:17:42.039 --> 00:17:44.519
<v Speaker 2>can trust what you're seeing, or whether you're seeing something

304
00:17:44.599 --> 00:17:47.400
<v Speaker 2>that you that you are hoping so hard is there

305
00:17:47.480 --> 00:17:50.920
<v Speaker 2>that you're almost kind of like willing it into existence?

306
00:17:50.960 --> 00:17:53.960
<v Speaker 2>So I think there has to be that zooming in

307
00:17:54.000 --> 00:17:55.839
<v Speaker 2>on the detail, but then also zooming out to those

308
00:17:55.880 --> 00:17:56.680
<v Speaker 2>big questions.

309
00:17:57.680 --> 00:18:00.960
<v Speaker 1>Yeah, and there's there's this whole other leg isn't there

310
00:18:01.039 --> 00:18:03.200
<v Speaker 1>of sort of you know, it's one thing if we

311
00:18:03.240 --> 00:18:06.799
<v Speaker 1>are turning our instruments and our eyes and our ears

312
00:18:06.799 --> 00:18:11.720
<v Speaker 1>and our senses to the cosmos and we are trying

313
00:18:11.759 --> 00:18:16.200
<v Speaker 1>to describe or understand something that either has has not

314
00:18:16.319 --> 00:18:20.799
<v Speaker 1>been described or understood or requires clarification. And it's another

315
00:18:20.839 --> 00:18:23.799
<v Speaker 1>thing if we're doing that, you know, towards our own

316
00:18:23.799 --> 00:18:27.240
<v Speaker 1>home planet, towards our backyard, towards our oceans, towards you know,

317
00:18:27.279 --> 00:18:31.400
<v Speaker 1>different ecosystems. There's there's this other layer, I think of

318
00:18:32.319 --> 00:18:35.799
<v Speaker 1>humility that's required with the sciences that we haven't always

319
00:18:35.880 --> 00:18:39.759
<v Speaker 1>historically had. I was just saying this to my partner

320
00:18:39.839 --> 00:18:44.279
<v Speaker 1>yesterday I got like a news alert because I get

321
00:18:44.279 --> 00:18:48.960
<v Speaker 1>those often about a new monkey species, and it was

322
00:18:49.000 --> 00:18:50.200
<v Speaker 1>literally I saw that too.

323
00:18:50.359 --> 00:18:52.039
<v Speaker 2>I didn't yeah, yeah, find it, but I was like, oh,

324
00:18:52.079 --> 00:18:52.599
<v Speaker 2>what what's that?

325
00:18:53.160 --> 00:18:55.839
<v Speaker 1>Yeah, I mean, and it looked bizarre and I was like, oh,

326
00:18:55.880 --> 00:18:58.000
<v Speaker 1>but but I just hated how the headline. All the

327
00:18:58.039 --> 00:19:02.960
<v Speaker 1>headlines I saw were like new new species, new species discovered,

328
00:19:03.279 --> 00:19:05.440
<v Speaker 1>and it's over and over, this thing is new, And

329
00:19:05.480 --> 00:19:07.599
<v Speaker 1>then in the lead, like the very next line, it

330
00:19:07.599 --> 00:19:10.319
<v Speaker 1>would say something like known to locals as and it

331
00:19:10.359 --> 00:19:13.920
<v Speaker 1>had a name, and I'm like, it's not new, like

332
00:19:14.359 --> 00:19:18.400
<v Speaker 1>it's just new to science, like to Western science. It's

333
00:19:18.440 --> 00:19:23.559
<v Speaker 1>newly described by West right right. There's this really interesting,

334
00:19:24.039 --> 00:19:32.000
<v Speaker 1>I think layer to conversations about exploration, conversations about you know,

335
00:19:32.200 --> 00:19:36.279
<v Speaker 1>the beauty I think, and the humanity of being curious

336
00:19:36.599 --> 00:19:40.680
<v Speaker 1>and of setting out to answer questions where I think

337
00:19:40.680 --> 00:19:42.880
<v Speaker 1>we do have to always take a step back and say, like,

338
00:19:43.559 --> 00:19:48.119
<v Speaker 1>and what is my positioning within the milieu, and how

339
00:19:48.240 --> 00:19:53.039
<v Speaker 1>can I explore in such a way that is respectful

340
00:19:53.200 --> 00:19:56.720
<v Speaker 1>and that is open minded, and that doesn't require I

341
00:19:56.759 --> 00:20:00.799
<v Speaker 1>guess the historical hubris that that many scientists or explorers

342
00:20:00.799 --> 00:20:03.920
<v Speaker 1>have had that said like I am the only person

343
00:20:04.720 --> 00:20:07.720
<v Speaker 1>who is equipped to answer this question, and I am

344
00:20:07.880 --> 00:20:10.599
<v Speaker 1>you know, my opinion on this is is so much

345
00:20:10.599 --> 00:20:14.480
<v Speaker 1>more important. Did you find that this kind of younger

346
00:20:14.559 --> 00:20:20.440
<v Speaker 1>generation of researchers that you've worked with is more sensitive

347
00:20:20.759 --> 00:20:22.160
<v Speaker 1>to this approach?

348
00:20:23.640 --> 00:20:26.720
<v Speaker 2>I mean, I don't know if I have a good

349
00:20:26.799 --> 00:20:32.119
<v Speaker 2>way to contrast younger and older researchers broadly, but I mean,

350
00:20:32.160 --> 00:20:38.200
<v Speaker 2>for one chapter, the evolutionary biology chapter, the scientist she's

351
00:20:38.240 --> 00:20:40.720
<v Speaker 2>from Columbia originally but and now in the States, but

352
00:20:40.880 --> 00:20:45.839
<v Speaker 2>she studies a frog species in Borneo, and I think

353
00:20:45.880 --> 00:20:49.240
<v Speaker 2>she did, I mean, she did always collaborate with local

354
00:20:49.279 --> 00:20:54.319
<v Speaker 2>scientists and you know, relied on their expertise, and so

355
00:20:54.359 --> 00:20:57.559
<v Speaker 2>that was always, you know, part of her research plan.

356
00:20:58.319 --> 00:21:01.160
<v Speaker 2>And that I mean that chapter was intro too, because

357
00:21:01.240 --> 00:21:03.480
<v Speaker 2>you know, what you're saying about the monkey reminds me

358
00:21:03.559 --> 00:21:07.440
<v Speaker 2>of this story the frog species that she was studying.

359
00:21:07.599 --> 00:21:11.759
<v Speaker 2>It's like it has this sort of particular parental behavior

360
00:21:11.799 --> 00:21:15.160
<v Speaker 2>that scientists have found interesting that you know, the males

361
00:21:15.200 --> 00:21:19.079
<v Speaker 2>will carry their tadpoles on their backs to pools and

362
00:21:19.400 --> 00:21:21.759
<v Speaker 2>you know, drop them off there to grow up, and

363
00:21:21.839 --> 00:21:24.160
<v Speaker 2>they'll look after the eggs until they become tadpoles and

364
00:21:24.200 --> 00:21:27.480
<v Speaker 2>so on. And I think the initial reports of this were,

365
00:21:28.039 --> 00:21:30.599
<v Speaker 2>you know, from Western scientists. It was maybe a few

366
00:21:30.720 --> 00:21:34.839
<v Speaker 2>decades ago that those appeared. But when I interviewed the

367
00:21:34.880 --> 00:21:38.319
<v Speaker 2>scientists and when I looked sort of closer at the papers,

368
00:21:38.359 --> 00:21:42.759
<v Speaker 2>it was an indigenous local who found that first evidence.

369
00:21:42.799 --> 00:21:46.559
<v Speaker 2>Like they were helping the you know, the team, this

370
00:21:46.599 --> 00:21:49.359
<v Speaker 2>team that had showed up from the US, and they

371
00:21:49.359 --> 00:21:51.480
<v Speaker 2>had a team of locals that were that were helping

372
00:21:51.519 --> 00:21:54.960
<v Speaker 2>with the scientific data collection. And it was the local

373
00:21:55.440 --> 00:21:59.359
<v Speaker 2>you know, staff worker who found the mail frog carrying

374
00:22:00.039 --> 00:22:03.319
<v Speaker 2>as tadpoles. So and it was one of those things

375
00:22:03.359 --> 00:22:05.319
<v Speaker 2>where I wanted to find out this person's name, but

376
00:22:05.720 --> 00:22:07.359
<v Speaker 2>there was no way I could do that because it

377
00:22:07.359 --> 00:22:10.079
<v Speaker 2>had happened, you know, decades ago, and there wasn't any

378
00:22:10.079 --> 00:22:11.000
<v Speaker 2>way to track that down.

379
00:22:12.079 --> 00:22:15.279
<v Speaker 1>Yeah, And I think that that's one of those It

380
00:22:15.279 --> 00:22:17.519
<v Speaker 1>makes me wonder how often is that the case? Right,

381
00:22:17.880 --> 00:22:21.119
<v Speaker 1>Like in the annals of history and the stories that

382
00:22:21.160 --> 00:22:28.079
<v Speaker 1>we tell, how often are these incredible discoveries, especially when

383
00:22:28.079 --> 00:22:34.640
<v Speaker 1>we're talking about like ecology or investigation from or by

384
00:22:34.720 --> 00:22:40.279
<v Speaker 1>a group of scientists in a land that they're not from.

385
00:22:40.640 --> 00:22:44.160
<v Speaker 1>How often are the descriptions and the stories that they

386
00:22:44.200 --> 00:22:48.720
<v Speaker 1>tell really built I think on the on the really

387
00:22:48.759 --> 00:22:52.000
<v Speaker 1>hard work of local individuals who because they don't have

388
00:22:52.119 --> 00:22:57.599
<v Speaker 1>the degrees or the associations or the whatever, they really

389
00:22:57.640 --> 00:22:58.400
<v Speaker 1>don't always get there.

390
00:22:58.480 --> 00:23:02.000
<v Speaker 2>Due well they very rarely get there, do Yeah, I

391
00:23:02.039 --> 00:23:04.119
<v Speaker 2>mean that person was not an author on the paper.

392
00:23:05.079 --> 00:23:09.480
<v Speaker 1>Yeah. Yeah, Well, yeah, it's rough, right, And so I'm curious,

393
00:23:09.519 --> 00:23:12.640
<v Speaker 1>you know, as you as you went about kind of

394
00:23:12.759 --> 00:23:16.319
<v Speaker 1>telling these really interesting stories and ultimately how many how

395
00:23:16.319 --> 00:23:20.160
<v Speaker 1>many different scientists well I shouldn't say how many individual scientists,

396
00:23:20.200 --> 00:23:23.400
<v Speaker 1>but how many different stories did you include in the book?

397
00:23:24.559 --> 00:23:28.799
<v Speaker 2>Yeah? So there's nine chapters and it's kind of a

398
00:23:28.839 --> 00:23:31.799
<v Speaker 2>mix of life sciences and physical sciences, so sort of

399
00:23:31.799 --> 00:23:32.480
<v Speaker 2>all over the board.

400
00:23:33.920 --> 00:23:37.559
<v Speaker 1>And did you kind of was the sort of choice

401
00:23:37.960 --> 00:23:41.799
<v Speaker 1>to include what you included because those were the scientists

402
00:23:41.799 --> 00:23:43.519
<v Speaker 1>that you were able to embed with, and those were

403
00:23:43.599 --> 00:23:46.279
<v Speaker 1>the you know, the trips that you were able to

404
00:23:46.279 --> 00:23:48.079
<v Speaker 1>go on and the reporting that you were able to do.

405
00:23:48.440 --> 00:23:50.519
<v Speaker 1>Or did you have sort of like a wealth of

406
00:23:50.599 --> 00:23:52.200
<v Speaker 1>stuff and you really had to pare it down?

407
00:23:53.759 --> 00:23:57.640
<v Speaker 2>Yeah? That was an interesting process. So I I mean,

408
00:23:57.680 --> 00:24:01.599
<v Speaker 2>for some of the chapters I had written, maybe like

409
00:24:01.640 --> 00:24:04.400
<v Speaker 2>a short news story, or I interviewed this person once

410
00:24:04.640 --> 00:24:09.519
<v Speaker 2>before for a future story, but hadn't gone into tremendous

411
00:24:09.559 --> 00:24:13.880
<v Speaker 2>depths on their research. And if I found myself sort

412
00:24:13.880 --> 00:24:16.480
<v Speaker 2>of thinking, like, you know, if that was still sort

413
00:24:16.480 --> 00:24:18.480
<v Speaker 2>of nagging at me, like, h, I wonder what happened

414
00:24:18.559 --> 00:24:20.279
<v Speaker 2>with that? Because I knew they were going to do more,

415
00:24:20.400 --> 00:24:23.640
<v Speaker 2>Like I knew they were going to take further steps,

416
00:24:24.160 --> 00:24:26.960
<v Speaker 2>then I would call that person back and say, you know,

417
00:24:27.039 --> 00:24:30.680
<v Speaker 2>what's going on now, Like, for example, one the chemistry chapter,

418
00:24:31.440 --> 00:24:35.799
<v Speaker 2>I had interviewed Jenny Ingram, who's an indigenous chemist who

419
00:24:36.359 --> 00:24:40.960
<v Speaker 2>studied the effects of uranium mining contamination on the Nabjo nation,

420
00:24:41.720 --> 00:24:44.079
<v Speaker 2>And so I had just a few paragraphs about her

421
00:24:44.240 --> 00:24:47.279
<v Speaker 2>in a feature, but I knew that she'd had, you know,

422
00:24:47.359 --> 00:24:50.039
<v Speaker 2>many many students who had come through her lab over

423
00:24:50.039 --> 00:24:52.960
<v Speaker 2>the years, many of them also Indigenous, and they were

424
00:24:53.039 --> 00:24:56.680
<v Speaker 2>trying to understand the effects on their community. And so

425
00:24:57.079 --> 00:24:59.920
<v Speaker 2>there seemed to be a bigger sort of generational story

426
00:25:00.359 --> 00:25:03.440
<v Speaker 2>about this, you know, this research unfolding over many years.

427
00:25:03.440 --> 00:25:05.400
<v Speaker 2>So that was one that I went back to, and

428
00:25:05.440 --> 00:25:08.480
<v Speaker 2>then other chapters it was, you know, the topics were

429
00:25:08.519 --> 00:25:10.759
<v Speaker 2>totally new to me. It was. Really it was a

430
00:25:10.839 --> 00:25:14.519
<v Speaker 2>very unscientific process. I'll say I was like choosing what

431
00:25:14.680 --> 00:25:17.319
<v Speaker 2>the other topics would be. I mean it was you know,

432
00:25:17.480 --> 00:25:21.160
<v Speaker 2>me scanning tons of journal articles and news stories and

433
00:25:21.240 --> 00:25:23.240
<v Speaker 2>calling people and talking to tons of people and then

434
00:25:23.359 --> 00:25:28.160
<v Speaker 2>just just like waiting in that conversation for that spark

435
00:25:28.359 --> 00:25:30.759
<v Speaker 2>that like that there had to be some kind of

436
00:25:30.880 --> 00:25:34.519
<v Speaker 2>emotional connection that I felt with the researcher with the

437
00:25:34.559 --> 00:25:38.119
<v Speaker 2>research question, like something that made me feel there's like

438
00:25:38.160 --> 00:25:40.359
<v Speaker 2>an emotional heart to this story that makes me want

439
00:25:40.400 --> 00:25:43.200
<v Speaker 2>to follow it more so. Yeah, I really so much

440
00:25:43.200 --> 00:25:46.319
<v Speaker 2>about the I mean, the logistical questions played into it too,

441
00:25:46.480 --> 00:25:48.559
<v Speaker 2>but you know, for some of them, I didn't even

442
00:25:48.599 --> 00:25:51.400
<v Speaker 2>know until later whether I'd be able to follow them

443
00:25:51.400 --> 00:25:51.880
<v Speaker 2>in the field.

444
00:25:52.279 --> 00:25:55.000
<v Speaker 1>Yeah, you know, I think one of the themes that

445
00:25:55.039 --> 00:25:58.000
<v Speaker 1>I hear again and again from science writers that I

446
00:25:58.000 --> 00:26:01.200
<v Speaker 1>have on the show, regardless of their of their sort

447
00:26:01.200 --> 00:26:06.960
<v Speaker 1>of academic or just meandering life path, is that really

448
00:26:07.240 --> 00:26:11.759
<v Speaker 1>the way to write science is to tell stories, and

449
00:26:11.880 --> 00:26:15.799
<v Speaker 1>especially to tell stories of people like as readers. This

450
00:26:15.960 --> 00:26:20.400
<v Speaker 1>is how we connect, This is how we remember, this

451
00:26:20.480 --> 00:26:25.200
<v Speaker 1>is how we become emotionally invested. We need characters and

452
00:26:25.240 --> 00:26:27.920
<v Speaker 1>we need plot points. You know, we need to be

453
00:26:28.000 --> 00:26:31.960
<v Speaker 1>able to like we are just a storytelling species. And

454
00:26:32.000 --> 00:26:34.960
<v Speaker 1>so is that a decision that you made very very

455
00:26:34.960 --> 00:26:37.319
<v Speaker 1>early on, Like that is going to be my approach

456
00:26:37.400 --> 00:26:38.599
<v Speaker 1>because that is how I write.

457
00:26:39.319 --> 00:26:42.319
<v Speaker 2>Yeah, I mean I knew it would definitely be narrative.

458
00:26:42.640 --> 00:26:44.119
<v Speaker 2>It had to be. I mean it was. I mean

459
00:26:44.119 --> 00:26:46.799
<v Speaker 2>that's if we're talking about you know, this book is

460
00:26:46.839 --> 00:26:49.519
<v Speaker 2>about the process of science, the messy middle of science.

461
00:26:49.559 --> 00:26:53.279
<v Speaker 2>I mean, that's what narrative is, right. It's like conflict, odbstacles.

462
00:26:53.319 --> 00:26:55.279
<v Speaker 2>You know, a character has a dream, a goal. If

463
00:26:55.319 --> 00:26:58.720
<v Speaker 2>you think about in my MFA program, the fiction writing program,

464
00:26:58.759 --> 00:27:02.200
<v Speaker 2>there's some like diagree that they teach everyone in undergrad

465
00:27:02.240 --> 00:27:07.480
<v Speaker 2>classes where it's like, you know, like rising action, obstacles, climax,

466
00:27:07.559 --> 00:27:11.960
<v Speaker 2>dneumont right, and that's a key part of what makes

467
00:27:12.039 --> 00:27:14.960
<v Speaker 2>a story. And that's exactly what science is, right. You know,

468
00:27:15.000 --> 00:27:18.359
<v Speaker 2>they've got this question they want to answer. Obstacles are

469
00:27:18.400 --> 00:27:20.359
<v Speaker 2>thrown in the way, will they or will they not

470
00:27:20.440 --> 00:27:22.880
<v Speaker 2>overcome them? And you know, are they going to come

471
00:27:22.920 --> 00:27:25.480
<v Speaker 2>out on the other side? So I think like the

472
00:27:25.480 --> 00:27:28.960
<v Speaker 2>whole narrative approach is totally inherent to science. Like it's

473
00:27:29.000 --> 00:27:31.319
<v Speaker 2>not even something that I had to force.

474
00:27:32.039 --> 00:27:34.519
<v Speaker 1>You know, and I love because having worked as a

475
00:27:34.519 --> 00:27:37.799
<v Speaker 1>scientist for many, many years before I then moved more

476
00:27:37.920 --> 00:27:40.799
<v Speaker 1>into science communication and then kind of went back and

477
00:27:40.839 --> 00:27:44.519
<v Speaker 1>got more involved in the clinical side of psychology. But

478
00:27:44.559 --> 00:27:47.480
<v Speaker 1>I worked as a neuroscientist in a lab, and I

479
00:27:47.720 --> 00:27:50.000
<v Speaker 1>can attest to the fact that if you were to

480
00:27:50.039 --> 00:27:53.880
<v Speaker 1>ask me about all of the thrilling experiences I had

481
00:27:54.000 --> 00:27:57.960
<v Speaker 1>asking questions, I would say, Oh, my gosh, nobody would

482
00:27:58.000 --> 00:28:00.480
<v Speaker 1>want to follow me around the lab. It's so boring,

483
00:28:00.519 --> 00:28:03.359
<v Speaker 1>It is so frustrating. It's mostly just beating my head

484
00:28:03.400 --> 00:28:05.440
<v Speaker 1>against the wall and being like, well that didn't work. Okay,

485
00:28:05.519 --> 00:28:07.960
<v Speaker 1>let's try something else. Well that didn't work either, And

486
00:28:08.039 --> 00:28:11.079
<v Speaker 1>so it's so funny that from the perspective of the

487
00:28:11.119 --> 00:28:14.079
<v Speaker 1>person doing science, I wonder how often you would hear

488
00:28:14.119 --> 00:28:17.400
<v Speaker 1>things like oh, it's such a joy, Like like I'm

489
00:28:17.440 --> 00:28:19.839
<v Speaker 1>so you know, my curiosity takes me to all these

490
00:28:19.880 --> 00:28:22.359
<v Speaker 1>interesting places and it's like fascinating.

491
00:28:22.440 --> 00:28:23.519
<v Speaker 2>No, they're probably all.

492
00:28:23.400 --> 00:28:27.200
<v Speaker 1>Like, ah, I'd never want to try this again.

493
00:28:27.640 --> 00:28:30.559
<v Speaker 2>Yes, yes, but I mean that's what makes I mean,

494
00:28:30.599 --> 00:28:34.200
<v Speaker 2>I think that's what makes readers care about the characters

495
00:28:34.240 --> 00:28:36.319
<v Speaker 2>in the book, Like you you know, if you see

496
00:28:36.359 --> 00:28:40.039
<v Speaker 2>someone struggle, you're kind of rooting for them to keep going.

497
00:28:40.319 --> 00:28:42.519
<v Speaker 2>But I mean it's true that. I mean, one challenge

498
00:28:42.519 --> 00:28:44.440
<v Speaker 2>of the book was that, I mean, there is a

499
00:28:44.519 --> 00:28:46.799
<v Speaker 2>lot of science that's super boring where you're just doing

500
00:28:46.839 --> 00:28:48.920
<v Speaker 2>stuff over and over again. And there was of course,

501
00:28:48.920 --> 00:28:51.680
<v Speaker 2>I could not write a chapter where it's like, oh,

502
00:28:51.799 --> 00:28:53.759
<v Speaker 2>they did this experiment, don't work, so we're going to

503
00:28:53.759 --> 00:28:55.559
<v Speaker 2>do it again, and it didn't work, We're gonna do

504
00:28:55.599 --> 00:28:58.000
<v Speaker 2>it again, and like on and on. There had to

505
00:28:58.000 --> 00:29:01.119
<v Speaker 2>be some kind of progression, right Like, it couldn't. It

506
00:29:01.119 --> 00:29:03.720
<v Speaker 2>didn't want it to feel repetitive, even though you know,

507
00:29:03.799 --> 00:29:07.519
<v Speaker 2>parts of science obviously are repetitive. So there was a

508
00:29:07.559 --> 00:29:10.839
<v Speaker 2>lot of I mean, I don't know, like with the

509
00:29:10.839 --> 00:29:15.400
<v Speaker 2>physics chapter, right like, this was about physicists studying the

510
00:29:15.440 --> 00:29:19.599
<v Speaker 2>paper crumpling and whether we can detect you know, predictable

511
00:29:19.599 --> 00:29:22.559
<v Speaker 2>patterns when you crumple a sheet of papercores at all

512
00:29:22.720 --> 00:29:24.720
<v Speaker 2>just random, right, or the parts of it that are

513
00:29:24.759 --> 00:29:27.640
<v Speaker 2>that can be predictable. And I think I sat in

514
00:29:27.839 --> 00:29:32.400
<v Speaker 2>probably on like more than a dozen Zoom meetings, so

515
00:29:32.400 --> 00:29:34.759
<v Speaker 2>I have hours and hours of audio, like probably ten

516
00:29:34.839 --> 00:29:38.119
<v Speaker 2>or fifteen interviews in addition with the main researcher and

517
00:29:38.119 --> 00:29:40.079
<v Speaker 2>all the other researchers, So all of that had to

518
00:29:40.079 --> 00:29:44.279
<v Speaker 2>be kind of shaped into a narrative. And so there's

519
00:29:44.319 --> 00:29:47.720
<v Speaker 2>definitely parts that I had to skip over because it

520
00:29:47.759 --> 00:29:50.079
<v Speaker 2>would take you don't want, like the no reader wants

521
00:29:50.160 --> 00:29:52.720
<v Speaker 2>to sit through like fifteen hours of zoom meetings, right,

522
00:29:52.799 --> 00:29:56.759
<v Speaker 2>So I really had to figure out, Okay, what are

523
00:29:56.799 --> 00:29:59.480
<v Speaker 2>sort of the key plot points, Like what were the

524
00:29:59.559 --> 00:30:02.799
<v Speaker 2>key turning points, because those did happen like amidst all

525
00:30:02.839 --> 00:30:06.480
<v Speaker 2>the sort of tedium and you know, just meeting over

526
00:30:06.480 --> 00:30:09.359
<v Speaker 2>and over like endlessly discussing these same points or whatever. Like,

527
00:30:09.400 --> 00:30:12.839
<v Speaker 2>there were turning points for sure, and so it was

528
00:30:12.880 --> 00:30:17.039
<v Speaker 2>a matter of noticing those and like noticing also the

529
00:30:17.039 --> 00:30:22.079
<v Speaker 2>moments of emotion and making sure that those were sort

530
00:30:22.079 --> 00:30:23.880
<v Speaker 2>of the guide posts for the story.

531
00:30:24.640 --> 00:30:26.720
<v Speaker 1>Yeah, I mean that that really is sort of the

532
00:30:27.000 --> 00:30:28.759
<v Speaker 1>it's funny. I was about to say privilege. That is

533
00:30:28.759 --> 00:30:31.640
<v Speaker 1>definitely not the right word. The skill, I guess, the

534
00:30:31.640 --> 00:30:36.599
<v Speaker 1>the insight that a science writer such as yourself would

535
00:30:36.720 --> 00:30:43.039
<v Speaker 1>bring to the you know, sometimes mind numbing, oftentimes frustrating

536
00:30:44.039 --> 00:30:47.799
<v Speaker 1>kind of day in day out labor of actually doing

537
00:30:48.559 --> 00:30:52.599
<v Speaker 1>lab science is that you can take a step back.

538
00:30:53.079 --> 00:30:59.000
<v Speaker 1>You can kind of hold this perspective of the larger story,

539
00:30:59.039 --> 00:31:01.240
<v Speaker 1>how it fits into the life arger millieu, how it

540
00:31:02.200 --> 00:31:05.400
<v Speaker 1>you can see those inflection points, probably very easily because

541
00:31:05.440 --> 00:31:09.240
<v Speaker 1>you're not in the muck all day every day, like

542
00:31:09.359 --> 00:31:11.880
<v Speaker 1>you're you're dipping into the muck and dipping back, So

543
00:31:11.920 --> 00:31:13.720
<v Speaker 1>you at least you at least get that, you know,

544
00:31:13.759 --> 00:31:16.559
<v Speaker 1>you can empathize with how how frustrating and boring it

545
00:31:16.640 --> 00:31:20.359
<v Speaker 1>sometimes is. But it's it's funny how when you're in it,

546
00:31:20.359 --> 00:31:24.400
<v Speaker 1>it just feels interminable, like it does not feel dynamic,

547
00:31:25.000 --> 00:31:29.359
<v Speaker 1>It does not feel like there are these inflection points.

548
00:31:29.400 --> 00:31:32.880
<v Speaker 1>It feels like a slog until you publish, and even

549
00:31:32.880 --> 00:31:33.359
<v Speaker 1>that's the same.

550
00:31:33.440 --> 00:31:35.799
<v Speaker 2>Yeah, yeah, And I will say, I mean there were

551
00:31:35.920 --> 00:31:38.640
<v Speaker 2>there was only so much that I could participate in

552
00:31:38.680 --> 00:31:40.839
<v Speaker 2>that I was like party two, right, So for example,

553
00:31:40.880 --> 00:31:44.200
<v Speaker 2>what the physics team, there was a graduate student who

554
00:31:44.240 --> 00:31:48.000
<v Speaker 2>was doing tons of lab experiments like crumpling I don't know,

555
00:31:48.079 --> 00:31:52.039
<v Speaker 2>probably hundreds of sheets of paper and like all this

556
00:31:52.200 --> 00:31:55.440
<v Speaker 2>little apparatus in the lab and like scanning them with

557
00:31:55.559 --> 00:31:57.640
<v Speaker 2>lasers and taking all these measurements. I mean, it was

558
00:31:57.640 --> 00:32:01.960
<v Speaker 2>incredibly laborious, and I did do a field reporting trip,

559
00:32:02.000 --> 00:32:04.440
<v Speaker 2>but I only visited the lab for a day, so

560
00:32:05.160 --> 00:32:07.839
<v Speaker 2>I didn't see, you know, all of the I think,

561
00:32:08.039 --> 00:32:10.160
<v Speaker 2>you know, ideally, as a reporter, it would have been great

562
00:32:10.200 --> 00:32:14.119
<v Speaker 2>to spend yeah, like many months visiting and seeing him

563
00:32:14.119 --> 00:32:16.240
<v Speaker 2>at his work, but I didn't have that opportunity because

564
00:32:16.240 --> 00:32:18.920
<v Speaker 2>it was on the other side of the country. So

565
00:32:18.920 --> 00:32:23.000
<v Speaker 2>so yeah, I'm sure there were huge, huge swaths of

566
00:32:23.079 --> 00:32:26.039
<v Speaker 2>the story that I missed that were very boring and or.

567
00:32:26.039 --> 00:32:29.640
<v Speaker 1>Not in the book, like how many times did you

568
00:32:29.720 --> 00:32:32.240
<v Speaker 1>observe an acute mental breakdown?

569
00:32:34.480 --> 00:32:37.799
<v Speaker 2>I don't think I saw any mental breakdown. No, I

570
00:32:37.799 --> 00:32:38.680
<v Speaker 2>don't know. That's good.

571
00:32:39.799 --> 00:32:42.200
<v Speaker 1>Anybody quit it's not worth it.

572
00:32:42.799 --> 00:32:45.640
<v Speaker 2>No, that didn't happen. I mean there were certainly moments

573
00:32:45.640 --> 00:32:48.000
<v Speaker 2>of frustration, that's for sure. I mean, I guess the

574
00:32:48.039 --> 00:32:51.680
<v Speaker 2>closest that this, I mean the closest that I would

575
00:32:51.880 --> 00:32:54.160
<v Speaker 2>say and this at all was not at all like

576
00:32:54.200 --> 00:32:58.680
<v Speaker 2>a breakdown, but just you know, genuine frustration. Because the

577
00:32:58.680 --> 00:33:02.759
<v Speaker 2>the glaciology team I followed, you know, they they do

578
00:33:02.839 --> 00:33:06.160
<v Speaker 2>a field expedition to Greenland once a year, and so

579
00:33:06.519 --> 00:33:09.480
<v Speaker 2>I had tagged along in twenty twenty three, and there's

580
00:33:09.559 --> 00:33:13.480
<v Speaker 2>so much preparation that goes into these field expeditions. Right,

581
00:33:13.519 --> 00:33:15.440
<v Speaker 2>there's so much time, with so much money. There's so

582
00:33:15.519 --> 00:33:18.759
<v Speaker 2>much like thought and care that goes into just getting

583
00:33:18.799 --> 00:33:20.880
<v Speaker 2>there and making sure you get on the ice and

584
00:33:20.960 --> 00:33:23.839
<v Speaker 2>like you know, get the instruments on the ice. There's

585
00:33:24.000 --> 00:33:26.720
<v Speaker 2>weather problems, there's helicopter problems, there's so many things that

586
00:33:26.759 --> 00:33:32.400
<v Speaker 2>can go wrong. And in one conversation, so I'm sitting

587
00:33:32.519 --> 00:33:35.720
<v Speaker 2>you know, at the hotel in town with these researchers

588
00:33:35.720 --> 00:33:37.160
<v Speaker 2>who are still in town. The rest of our team

589
00:33:37.200 --> 00:33:40.400
<v Speaker 2>is on the glacier, and there's some question about whether

590
00:33:41.119 --> 00:33:43.319
<v Speaker 2>they're going to be able to get out these radar

591
00:33:43.359 --> 00:33:45.960
<v Speaker 2>instruments that are buried under the ice, Like they put

592
00:33:45.960 --> 00:33:47.880
<v Speaker 2>them out last year, but now they're buried under you know,

593
00:33:48.039 --> 00:33:50.759
<v Speaker 2>several meters of snow and ice, and there's a real

594
00:33:50.839 --> 00:33:52.440
<v Speaker 2>question about whether they're going to be able to get

595
00:33:52.440 --> 00:33:55.960
<v Speaker 2>them out, which is a huge bummer if they can't,

596
00:33:55.960 --> 00:33:58.240
<v Speaker 2>because I mean, first of all, they're super expensive, but

597
00:33:58.279 --> 00:34:01.799
<v Speaker 2>also like you know, we are really hoping to get

598
00:34:02.240 --> 00:34:04.839
<v Speaker 2>the data off these instruments. That's the whole point.

599
00:34:04.880 --> 00:34:06.359
<v Speaker 1>That's the whole right, that's the work.

600
00:34:06.519 --> 00:34:10.119
<v Speaker 2>Yeah, that's the work, right, And so I think there was.

601
00:34:10.320 --> 00:34:13.159
<v Speaker 2>I mean, there were definitely moments of frustration where it's like,

602
00:34:13.199 --> 00:34:14.960
<v Speaker 2>oh my gosh, well we can't just give up, like

603
00:34:15.000 --> 00:34:18.320
<v Speaker 2>we've got to figure out a way to get these out. Yeah.

604
00:34:18.440 --> 00:34:21.960
<v Speaker 1>Yeah, And I think that's often the stuff that we

605
00:34:22.079 --> 00:34:25.559
<v Speaker 1>don't get to. Maybe I shouldn't say we don't get

606
00:34:25.559 --> 00:34:27.519
<v Speaker 1>to see it, you know, some people are privy to that.

607
00:34:27.679 --> 00:34:30.559
<v Speaker 1>I think if you survey most most just people in

608
00:34:30.599 --> 00:34:33.880
<v Speaker 1>the country, and I apologize for anybody listening if there

609
00:34:33.880 --> 00:34:36.440
<v Speaker 1>has been a siren in the background of my recording

610
00:34:36.519 --> 00:34:38.320
<v Speaker 1>the whole time. My hope is that my microphone is

611
00:34:38.559 --> 00:34:41.760
<v Speaker 1>very very sensitive and only picking up my voice.

612
00:34:41.760 --> 00:34:43.599
<v Speaker 2>But I don't know why I have not heard any sirens.

613
00:34:43.760 --> 00:34:44.239
<v Speaker 2>Oh good.

614
00:34:44.440 --> 00:34:46.199
<v Speaker 1>It's like I have no idea what's happening out there

615
00:34:46.199 --> 00:34:48.519
<v Speaker 1>in LA today. But it has been NonStop since we

616
00:34:48.599 --> 00:34:52.079
<v Speaker 1>got okay, So I'm just like, whatever, this is just

617
00:34:52.559 --> 00:34:54.840
<v Speaker 1>it's just color, you know, it's just a little am

618
00:34:54.880 --> 00:34:58.800
<v Speaker 1>Beyonce there for you podcast listener. But yeah, I you know,

619
00:34:58.960 --> 00:35:01.800
<v Speaker 1>I think I think I've even read before in some surveys,

620
00:35:01.840 --> 00:35:03.400
<v Speaker 1>like people will be asking if they could name a

621
00:35:03.440 --> 00:35:05.400
<v Speaker 1>living scientist and it's very very hard to do or

622
00:35:05.400 --> 00:35:08.039
<v Speaker 1>they all name the same person, and very few people

623
00:35:08.159 --> 00:35:11.320
<v Speaker 1>can say, yeah, my neighbor, you know Laura, or my

624
00:35:11.320 --> 00:35:13.719
<v Speaker 1>neighbor Joe, like works in a lab and you know

625
00:35:13.920 --> 00:35:17.480
<v Speaker 1>there is a professor, and so it's probably true most

626
00:35:17.519 --> 00:35:20.679
<v Speaker 1>people don't actually know what happens sort of like behind

627
00:35:20.719 --> 00:35:22.719
<v Speaker 1>the curtain, not that there's a curtain, like nobody's trying

628
00:35:22.719 --> 00:35:26.599
<v Speaker 1>to hide this from anything. They're actually going like it's

629
00:35:26.639 --> 00:35:28.519
<v Speaker 1>so cool, right, and everybody's like, no, it's not that cool.

630
00:35:28.519 --> 00:35:29.000
<v Speaker 2>I'm not that.

631
00:35:31.079 --> 00:35:35.199
<v Speaker 1>But so I think that there is this lack of

632
00:35:35.320 --> 00:35:37.599
<v Speaker 1>it's just a gap in knowledge really, because how can

633
00:35:37.639 --> 00:35:40.159
<v Speaker 1>we hold everything we're being tasked with holding in our

634
00:35:40.159 --> 00:35:42.039
<v Speaker 1>brains all the time, But there's a gap in our

635
00:35:42.079 --> 00:35:48.599
<v Speaker 1>knowledge of what the actual process really looks like, you know,

636
00:35:49.079 --> 00:35:52.760
<v Speaker 1>what does it really mean to do science? Like when

637
00:35:52.800 --> 00:35:55.199
<v Speaker 1>people say I'm a scientist, I think that there is

638
00:35:55.239 --> 00:35:59.719
<v Speaker 1>a lot of misconception around that. Like I remember early on,

639
00:36:00.320 --> 00:36:02.440
<v Speaker 1>like it was like when I first started my master's

640
00:36:02.480 --> 00:36:04.480
<v Speaker 1>degree and I was working in a neuroscience lab and

641
00:36:04.519 --> 00:36:08.039
<v Speaker 1>we were doing these experiments, lots of different types of experiments,

642
00:36:08.039 --> 00:36:12.639
<v Speaker 1>but we would use neuronal tissue from embryonic mice and

643
00:36:12.679 --> 00:36:15.280
<v Speaker 1>then we would like do things with these little nerve

644
00:36:15.320 --> 00:36:19.400
<v Speaker 1>networks that we would build from these embryonic mouse brains.

645
00:36:20.000 --> 00:36:22.000
<v Speaker 1>And I remember having a friend who is like an

646
00:36:22.000 --> 00:36:24.519
<v Speaker 1>animal rights activist, and that's good and fine, but they

647
00:36:24.519 --> 00:36:26.320
<v Speaker 1>were like, well, can't you just like use a computer?

648
00:36:26.559 --> 00:36:29.280
<v Speaker 1>And I was like, do you think I'm teaching dissection?

649
00:36:30.679 --> 00:36:33.440
<v Speaker 1>Like do you think that that's what the science I'm

650
00:36:33.480 --> 00:36:36.079
<v Speaker 1>doing is is the same thing as like what you

651
00:36:36.159 --> 00:36:40.320
<v Speaker 1>see in a bioclass, where like students are learning where

652
00:36:40.360 --> 00:36:42.199
<v Speaker 1>the organs are. And I think that there is this

653
00:36:42.320 --> 00:36:47.199
<v Speaker 1>like huge disconnect sometimes between the doing of the science

654
00:36:47.440 --> 00:36:52.199
<v Speaker 1>versus either the demonstrations that people are exposed to or

655
00:36:52.239 --> 00:36:55.280
<v Speaker 1>the outcomes of the science, and so people will often

656
00:36:55.280 --> 00:36:58.199
<v Speaker 1>talk about science as if it is the thing we

657
00:36:58.320 --> 00:37:01.400
<v Speaker 1>know and not the way we got to that thought.

658
00:37:02.840 --> 00:37:04.800
<v Speaker 2>Yeah, I mean, I think that's really why I wrote

659
00:37:05.159 --> 00:37:09.519
<v Speaker 2>the book. I mean, I think there's there's this tendency

660
00:37:09.559 --> 00:37:13.079
<v Speaker 2>to think of science as like there's still, you know,

661
00:37:13.199 --> 00:37:16.360
<v Speaker 2>prevalent in the popular imagination, this idea of the Eureka moment.

662
00:37:16.440 --> 00:37:18.440
<v Speaker 2>We've got this genius in the lab who has this

663
00:37:18.519 --> 00:37:21.440
<v Speaker 2>brilliant idea. They figured it out, And I think just

664
00:37:21.480 --> 00:37:24.320
<v Speaker 2>at a broader level. You know, for most people, the

665
00:37:24.320 --> 00:37:26.440
<v Speaker 2>way they encounter science, you know, a lot of it

666
00:37:26.519 --> 00:37:29.000
<v Speaker 2>might be through reading the news, where they read a

667
00:37:29.039 --> 00:37:31.920
<v Speaker 2>news story about the results of a study. And I

668
00:37:31.960 --> 00:37:34.679
<v Speaker 2>wrote those news stories too, right, like, that's of course

669
00:37:34.679 --> 00:37:37.480
<v Speaker 2>you want to report on the results. But I think

670
00:37:37.480 --> 00:37:41.119
<v Speaker 2>they're just less likely to encounter those stories of all

671
00:37:41.199 --> 00:37:45.960
<v Speaker 2>the work that went into those results and how those

672
00:37:46.159 --> 00:37:50.239
<v Speaker 2>you know, how we figured these things out. And I

673
00:37:50.239 --> 00:37:52.800
<v Speaker 2>think that plays a little bit into you know, trust

674
00:37:52.840 --> 00:37:55.079
<v Speaker 2>in science, because I think if they saw how much

675
00:37:55.119 --> 00:38:00.960
<v Speaker 2>agony went into getting result, they would maybe be like, oh, okay, yeah,

676
00:38:01.159 --> 00:38:03.119
<v Speaker 2>maybe they do kind of know what they're talking about

677
00:38:03.159 --> 00:38:04.280
<v Speaker 2>if they spend the punch.

678
00:38:04.119 --> 00:38:09.639
<v Speaker 1>Time, right, and just like the sheer like the sheer

679
00:38:09.760 --> 00:38:14.559
<v Speaker 1>quantity of people and brain power and you know, like

680
00:38:14.960 --> 00:38:19.039
<v Speaker 1>hands and eyes and tools, and because very often when

681
00:38:19.039 --> 00:38:22.159
<v Speaker 1>we hear about okay, there's like, oh, a new drug

682
00:38:22.440 --> 00:38:25.639
<v Speaker 1>just made it to market that is like the best,

683
00:38:25.920 --> 00:38:30.119
<v Speaker 1>you know option for somebody with pancreatic cancer, and and

684
00:38:30.280 --> 00:38:32.360
<v Speaker 1>you know, it's like leaps and bounds above the last,

685
00:38:32.480 --> 00:38:34.239
<v Speaker 1>you know, best thing that we had. And then it's

686
00:38:34.280 --> 00:38:38.239
<v Speaker 1>like lead author on the study so and so has

687
00:38:38.280 --> 00:38:40.679
<v Speaker 1>this to say, and and this drug company, you know,

688
00:38:41.199 --> 00:38:43.280
<v Speaker 1>after however much R and D was able to put

689
00:38:43.280 --> 00:38:45.800
<v Speaker 1>it to market. But I think there's this sort of

690
00:38:45.840 --> 00:38:50.079
<v Speaker 1>takeaway of like, and it's it's not intentional, it's just

691
00:38:50.199 --> 00:38:52.000
<v Speaker 1>you know, we can't hold so many things in our heads.

692
00:38:52.119 --> 00:38:54.159
<v Speaker 1>But this takeaway of like, oh, they kind of threw

693
00:38:54.199 --> 00:38:55.880
<v Speaker 1>money at a problem, and like I don't know, five

694
00:38:55.960 --> 00:38:57.800
<v Speaker 1>or six people like worked really hard at it, and

695
00:38:57.840 --> 00:38:59.639
<v Speaker 1>now look at this thing we have, and it's like,

696
00:39:00.039 --> 00:39:04.199
<v Speaker 1>you know, it's like dozens of labs contributing in their way,

697
00:39:04.320 --> 00:39:06.320
<v Speaker 1>and like all these grad students saying I'm gonna take

698
00:39:06.320 --> 00:39:09.639
<v Speaker 1>this tiny piece of this tiny problem, or this tiny

699
00:39:09.679 --> 00:39:11.480
<v Speaker 1>piece of this huge problem, and I'm gonna answer this

700
00:39:11.599 --> 00:39:16.199
<v Speaker 1>one question that is necessary for the massive downstream chain.

701
00:39:16.960 --> 00:39:22.119
<v Speaker 1>I don't think we often give credit to how connected

702
00:39:23.079 --> 00:39:25.440
<v Speaker 1>all science is to all other science.

703
00:39:26.320 --> 00:39:31.159
<v Speaker 2>Mm hmmm, yeah, I mean I think that is. I

704
00:39:31.239 --> 00:39:33.079
<v Speaker 2>think that is another thing I wanted to get across,

705
00:39:33.199 --> 00:39:38.119
<v Speaker 2>is this idea of science as this huge collective enterprise, right,

706
00:39:38.159 --> 00:39:40.440
<v Speaker 2>And that's partly why I wanted each chapter to follow

707
00:39:41.119 --> 00:39:43.679
<v Speaker 2>you know, such different fields of science, this idea that

708
00:39:43.800 --> 00:39:47.000
<v Speaker 2>you know, each researcher is contributing this tiny piece this

709
00:39:47.159 --> 00:39:52.000
<v Speaker 2>tiny like you imagine that all of humans scientificnowledge is

710
00:39:52.039 --> 00:39:55.679
<v Speaker 2>like this huge mosaic. They each got their own little tile, right,

711
00:39:55.960 --> 00:39:59.239
<v Speaker 2>and then they're like polishing it and refining it, and

712
00:39:59.280 --> 00:40:01.320
<v Speaker 2>they like added the mosaic. But you can, like from

713
00:40:01.320 --> 00:40:03.920
<v Speaker 2>a distance, you'll you'll not even see it. It just kind

714
00:40:03.920 --> 00:40:07.639
<v Speaker 2>of blurs into the whole picture. But that, you know,

715
00:40:07.760 --> 00:40:09.960
<v Speaker 2>I wanted to have the reader to have both the

716
00:40:10.000 --> 00:40:14.199
<v Speaker 2>sense of you know, that that vast scale, that bigger enterprise,

717
00:40:14.480 --> 00:40:17.039
<v Speaker 2>and then the work on the ground that's happening at

718
00:40:17.039 --> 00:40:20.599
<v Speaker 2>the human level of individual people that makes that possible.

719
00:40:21.400 --> 00:40:23.880
<v Speaker 1>Yeah, And you know, I think you mentioned before like

720
00:40:23.960 --> 00:40:27.800
<v Speaker 1>trust in science. Obviously, this is something that is incredibly

721
00:40:28.559 --> 00:40:33.800
<v Speaker 1>concerning and relevant right now because of the people who

722
00:40:33.840 --> 00:40:37.199
<v Speaker 1>are in inordinate positions of power and influence, who who

723
00:40:37.239 --> 00:40:40.960
<v Speaker 1>are actively you know, working to eroad trust in science.

724
00:40:42.440 --> 00:40:46.599
<v Speaker 1>And I often think that even as maybe science reporters

725
00:40:46.679 --> 00:40:52.920
<v Speaker 1>or scientists ourselves, like we don't often do the nuance

726
00:40:52.920 --> 00:40:56.159
<v Speaker 1>of the conversation service when somebody says, well, I don't

727
00:40:56.440 --> 00:40:59.519
<v Speaker 1>I don't trust that scientist, and it's like you shouldn't

728
00:40:59.519 --> 00:41:02.719
<v Speaker 1>trust a single scientists. But that's different, that's different than

729
00:41:02.719 --> 00:41:04.920
<v Speaker 1>trusting science. I mean, you should trust a single scientist,

730
00:41:05.280 --> 00:41:07.519
<v Speaker 1>like to the extent that you feel comfortable doing so,

731
00:41:07.679 --> 00:41:11.480
<v Speaker 1>but like good you're skeptical of that one person or

732
00:41:11.480 --> 00:41:15.000
<v Speaker 1>that one person's findings or this one study. But when

733
00:41:15.000 --> 00:41:19.599
<v Speaker 1>we talk about science, capital s science and how like,

734
00:41:19.920 --> 00:41:22.440
<v Speaker 1>you know, the literature tells us when we say words

735
00:41:22.480 --> 00:41:24.920
<v Speaker 1>like that, the senectic keys for sort of like the

736
00:41:25.159 --> 00:41:29.880
<v Speaker 1>entire body of findings based on you know, sometimes dozens, hundreds,

737
00:41:30.000 --> 00:41:33.639
<v Speaker 1>or even thousands of individuals across multiple labs. You don't

738
00:41:33.639 --> 00:41:37.079
<v Speaker 1>have to trust one person anymore because there's so much

739
00:41:37.280 --> 00:41:43.159
<v Speaker 1>consensus amongst many people. And I think we sometimes speak

740
00:41:43.199 --> 00:41:45.840
<v Speaker 1>about science in senectic key so that it's hard for

741
00:41:45.920 --> 00:41:50.400
<v Speaker 1>the individual citizen to know the difference between what one

742
00:41:50.480 --> 00:41:56.119
<v Speaker 1>scientist said and what the scientific body is saying.

743
00:41:57.760 --> 00:41:59.880
<v Speaker 2>Yeah, I mean that makes me think of a head

744
00:41:59.880 --> 00:42:04.440
<v Speaker 2>of conversation with a researcher Joanna Huckster, who studies public

745
00:42:04.519 --> 00:42:08.719
<v Speaker 2>understanding of science and especially like ideologically divisive science, And

746
00:42:08.800 --> 00:42:10.679
<v Speaker 2>I think they had done a study just kind of

747
00:42:11.239 --> 00:42:16.039
<v Speaker 2>trying to assess how much people really knew about, you know,

748
00:42:16.159 --> 00:42:19.000
<v Speaker 2>sort of how science works at like a system level,

749
00:42:19.079 --> 00:42:22.039
<v Speaker 2>Like do they know that there's peer review, right, like

750
00:42:22.800 --> 00:42:26.000
<v Speaker 2>that that exists. Do they know how peer review works?

751
00:42:26.079 --> 00:42:29.159
<v Speaker 2>Like do they understand the sort of checks and balances

752
00:42:29.199 --> 00:42:33.400
<v Speaker 2>that are in place in science? And their conclusion was

753
00:42:33.440 --> 00:42:36.280
<v Speaker 2>that a lot of people don't like they don't that's

754
00:42:36.320 --> 00:42:38.159
<v Speaker 2>not something like if you think about the way we're

755
00:42:38.159 --> 00:42:42.840
<v Speaker 2>taught science in school, we learn the scientific method, you know, question, hypothsis,

756
00:42:43.000 --> 00:42:48.079
<v Speaker 2>you know, experiment, results, analysis, but we don't really learn

757
00:42:48.280 --> 00:42:53.679
<v Speaker 2>about the whole sort of apparatus and structure around science,

758
00:42:53.719 --> 00:42:56.679
<v Speaker 2>like the social structure around it. The fact that all

759
00:42:56.760 --> 00:43:00.880
<v Speaker 2>these scientists are working as checks and balance is against

760
00:43:01.280 --> 00:43:04.559
<v Speaker 2>each other. And that's so apparent in like the astronomy chapter,

761
00:43:04.719 --> 00:43:07.440
<v Speaker 2>because part of the reason that it's so hard is

762
00:43:07.440 --> 00:43:11.119
<v Speaker 2>that every time someone puts out a paper saying, hey,

763
00:43:11.239 --> 00:43:14.679
<v Speaker 2>I think I have some pretty good evidence for an exomoon,

764
00:43:14.800 --> 00:43:17.280
<v Speaker 2>someone else will come along and say like, nah, I don't.

765
00:43:17.400 --> 00:43:21.360
<v Speaker 2>I don't think so yeah, And so as a realt

766
00:43:21.440 --> 00:43:24.599
<v Speaker 2>the result there really isn't like one. There still is

767
00:43:24.639 --> 00:43:27.920
<v Speaker 2>no consensus that yes, we have definitely found one.

768
00:43:28.880 --> 00:43:31.159
<v Speaker 1>Which is so fascinating because it's kind of like, I

769
00:43:31.199 --> 00:43:33.119
<v Speaker 1>think I'm taking it for granted at this point that

770
00:43:33.159 --> 00:43:38.079
<v Speaker 1>we found a ton of them. But yeah, okay, but

771
00:43:38.440 --> 00:43:41.000
<v Speaker 1>it's true. Sometimes there are these fundamental questions that we

772
00:43:41.079 --> 00:43:44.639
<v Speaker 1>sort of like as a whole kind of assume are

773
00:43:44.679 --> 00:43:48.559
<v Speaker 1>answered or are mostly answered, but really they rely. Like

774
00:43:48.719 --> 00:43:50.519
<v Speaker 1>I think you see it a lot with like anthropology

775
00:43:50.559 --> 00:43:52.400
<v Speaker 1>for an example, where it's like, ah, yeah, we think

776
00:43:52.400 --> 00:43:55.000
<v Speaker 1>we have these insights about like an ancient people's but

777
00:43:55.039 --> 00:43:56.800
<v Speaker 1>really we had like three teeth and.

778
00:43:56.760 --> 00:43:57.719
<v Speaker 2>We're making a lot.

779
00:43:57.880 --> 00:44:00.239
<v Speaker 1>You know, they're doing a lot of heavy lifting with

780
00:44:00.280 --> 00:44:02.760
<v Speaker 1>these assumptions, but it's the best we have so far,

781
00:44:02.840 --> 00:44:05.199
<v Speaker 1>and most of the experts agree that, you know, based

782
00:44:05.199 --> 00:44:07.800
<v Speaker 1>on what we know, this is the most likely conclusion.

783
00:44:08.159 --> 00:44:10.000
<v Speaker 1>Because that's another big thing that I think is hard

784
00:44:10.000 --> 00:44:12.519
<v Speaker 1>for even scientists to grapple with all the time, is that,

785
00:44:13.000 --> 00:44:15.559
<v Speaker 1>you know, most of the claims that we make in

786
00:44:15.599 --> 00:44:19.599
<v Speaker 1>science are probabilistic claims. They're not absolute, they can't be

787
00:44:19.639 --> 00:44:23.199
<v Speaker 1>absolute by definition. They're like, based on the evidence we

788
00:44:23.239 --> 00:44:26.360
<v Speaker 1>have available, this is the most likely you know, outcome,

789
00:44:26.519 --> 00:44:29.039
<v Speaker 1>and that will iterate the more we learn.

790
00:44:30.480 --> 00:44:33.440
<v Speaker 2>Yeah, and I think you know your example, what anthropology.

791
00:44:33.679 --> 00:44:36.159
<v Speaker 2>I think it's it's true that that it becomes just

792
00:44:36.280 --> 00:44:40.400
<v Speaker 2>even hazier and even more difficult when you're trying to

793
00:44:40.440 --> 00:44:43.400
<v Speaker 2>look into the past, right, So, in the like in

794
00:44:43.440 --> 00:44:47.519
<v Speaker 2>the paleontology chapter, the researchers, the main researcher is trying

795
00:44:47.519 --> 00:44:52.119
<v Speaker 2>to figure out when warm bloodedness arose, like during our

796
00:44:52.159 --> 00:44:54.599
<v Speaker 2>evolutionary history, which is a really key trait for for

797
00:44:54.760 --> 00:44:58.800
<v Speaker 2>mammals and for humans. And you know, she comes up

798
00:44:58.840 --> 00:45:03.679
<v Speaker 2>with her own tentative contribution to that debate, and then

799
00:45:03.800 --> 00:45:06.800
<v Speaker 2>you know, shortly after she publishes, someone else, you know,

800
00:45:06.920 --> 00:45:09.960
<v Speaker 2>publishes something else that says, well, no, it actually probably

801
00:45:09.960 --> 00:45:13.039
<v Speaker 2>happened like X billion years, no singer, or later or

802
00:45:13.079 --> 00:45:16.679
<v Speaker 2>whatever than she had proposed, And so I think, yeah,

803
00:45:16.599 --> 00:45:19.400
<v Speaker 2>when you're looking into the past, it just becomes even

804
00:45:19.519 --> 00:45:23.239
<v Speaker 2>more I don't know, provisional, I guess.

805
00:45:23.679 --> 00:45:28.159
<v Speaker 1>Yeah, and I and each individual sort of field has

806
00:45:28.280 --> 00:45:31.400
<v Speaker 1>its own I guess, error bars, and its own parameters

807
00:45:31.440 --> 00:45:34.840
<v Speaker 1>of like what's acceptable evidence, what's not acceptable evidence? And

808
00:45:35.760 --> 00:45:37.440
<v Speaker 1>you know, I see this all the time as a

809
00:45:37.480 --> 00:45:42.239
<v Speaker 1>psychologist who also worked in like laboratory neuroscience, where often

810
00:45:42.559 --> 00:45:44.960
<v Speaker 1>you're trying to answer the same questions. But it's just

811
00:45:45.079 --> 00:45:47.920
<v Speaker 1>really a lot easier to clone a mouse and do

812
00:45:48.000 --> 00:45:50.360
<v Speaker 1>one thing to one clone and something different to the

813
00:45:50.400 --> 00:45:52.320
<v Speaker 1>other clone. And say, Okay, how did it affect this

814
00:45:52.480 --> 00:45:55.599
<v Speaker 1>animal that is genetically the exact same as this other one,

815
00:45:55.679 --> 00:45:57.960
<v Speaker 1>And you just can't do that with people, and you're

816
00:45:58.079 --> 00:45:59.719
<v Speaker 1>just you know, the statistics have to get a lot

817
00:45:59.719 --> 00:46:03.840
<v Speaker 1>more creative because the ethics are different, and you know,

818
00:46:03.880 --> 00:46:07.119
<v Speaker 1>we're observing things that are sort of more naturalistic and

819
00:46:07.159 --> 00:46:11.360
<v Speaker 1>trying to make critiques or assumptions just based on behavior.

820
00:46:11.880 --> 00:46:15.599
<v Speaker 1>And every single field of science has has its own parameters.

821
00:46:15.639 --> 00:46:17.559
<v Speaker 1>And now we're living in a world and I'm wondering

822
00:46:17.639 --> 00:46:21.800
<v Speaker 1>how much this got messy in your work for this book.

823
00:46:21.800 --> 00:46:24.159
<v Speaker 1>But we're living in a world where we're trying not

824
00:46:24.199 --> 00:46:26.599
<v Speaker 1>to be as siloed as we used to be, and

825
00:46:26.679 --> 00:46:32.320
<v Speaker 1>many sciences are intentionally moving toward multidisciplinary thought. You know.

826
00:46:32.400 --> 00:46:33.920
<v Speaker 1>I mean you said it yourself. You were doing like

827
00:46:33.960 --> 00:46:38.679
<v Speaker 1>computer science in a genetics lab. Mm hmm, right right,

828
00:46:39.800 --> 00:46:41.719
<v Speaker 1>I mean that must be pretty messy. Like as you're

829
00:46:41.760 --> 00:46:43.960
<v Speaker 1>going through and you're saying, Okay, here's a physics story.

830
00:46:43.960 --> 00:46:45.360
<v Speaker 2>We're going to talk about physics.

831
00:46:45.400 --> 00:46:47.800
<v Speaker 1>And now here's a you know, ecology store, and we're

832
00:46:47.800 --> 00:46:49.519
<v Speaker 1>going to talk about ecology. Oh, but there's like an

833
00:46:49.519 --> 00:46:52.199
<v Speaker 1>engineer on the team, and there's Oh okay, so this

834
00:46:52.360 --> 00:46:56.239
<v Speaker 1>is you know, and it's situated in this one department

835
00:46:56.280 --> 00:46:58.840
<v Speaker 1>at this one university that seems kind of out of

836
00:46:58.880 --> 00:47:03.320
<v Speaker 1>left field. But science is too complicated nowadays to stay

837
00:47:03.400 --> 00:47:07.000
<v Speaker 1>in one's lane, Like we just can't do science without collaborating.

838
00:47:08.400 --> 00:47:10.280
<v Speaker 2>Yeah, I mean one I feel like one of the

839
00:47:10.320 --> 00:47:14.199
<v Speaker 2>most interesting collaborations was like in the climate change chapter,

840
00:47:14.400 --> 00:47:18.639
<v Speaker 2>there were engineers, coastal engineers who were working with architects

841
00:47:19.320 --> 00:47:23.239
<v Speaker 2>and they were trying to devise these weird they call

842
00:47:23.360 --> 00:47:28.159
<v Speaker 2>them Emerald Tutu's. They're like these floating mats with you know,

843
00:47:28.480 --> 00:47:30.880
<v Speaker 2>plant matter growing from the top and the bottom, and

844
00:47:30.920 --> 00:47:33.079
<v Speaker 2>the ideas you could you know, set them floating in

845
00:47:33.119 --> 00:47:35.760
<v Speaker 2>a harbor and they could help dampen the wave energy

846
00:47:35.880 --> 00:47:38.719
<v Speaker 2>when when a storm comes in or when waves come in.

847
00:47:38.800 --> 00:47:41.679
<v Speaker 2>And so, I mean that was interesting because the idea

848
00:47:41.840 --> 00:47:46.039
<v Speaker 2>actually came from the architect right like he wanted to.

849
00:47:46.639 --> 00:47:48.559
<v Speaker 2>He was thinking about it from sort of an urban

850
00:47:49.800 --> 00:47:52.519
<v Speaker 2>urban systems you write, like how do we protect cities

851
00:47:53.199 --> 00:47:56.679
<v Speaker 2>and how can we create something that's esthetically pleasing and

852
00:47:56.719 --> 00:48:01.280
<v Speaker 2>also you know, easy to build and you know, feasible,

853
00:48:01.480 --> 00:48:04.000
<v Speaker 2>and you could put it in the Boston harbor and

854
00:48:04.079 --> 00:48:07.840
<v Speaker 2>so he ended up working with these engineers to you know,

855
00:48:07.920 --> 00:48:11.079
<v Speaker 2>work out the details of this, but that yeah, they

856
00:48:11.119 --> 00:48:14.920
<v Speaker 2>really needed to work across disciplines to make that happen.

857
00:48:15.800 --> 00:48:16.280
<v Speaker 2>I love that.

858
00:48:16.280 --> 00:48:19.440
<v Speaker 1>That's fascinating. So I've got to ask one question that

859
00:48:19.480 --> 00:48:21.679
<v Speaker 1>has been kind of on my mind since the beginning.

860
00:48:22.320 --> 00:48:24.440
<v Speaker 1>You know, you're somebody who has worked in labs, You're

861
00:48:24.480 --> 00:48:27.559
<v Speaker 1>somebody who has had quite a lot of exposure to science.

862
00:48:27.639 --> 00:48:33.159
<v Speaker 1>But then, of course you took on a much larger endeavor,

863
00:48:33.199 --> 00:48:37.039
<v Speaker 1>a much larger project, in preparing to write this book,

864
00:48:37.079 --> 00:48:40.440
<v Speaker 1>and in of course writing this book, I'm curious, you know,

865
00:48:40.480 --> 00:48:43.679
<v Speaker 1>as somebody who's pretty well versed in the sciences, I mean,

866
00:48:43.800 --> 00:48:47.039
<v Speaker 1>working as a science reporter, a science writer, as you

867
00:48:47.280 --> 00:48:52.639
<v Speaker 1>made lost in curiosity, did you discover anything along the

868
00:48:52.679 --> 00:48:55.880
<v Speaker 1>way that like really was new to you, Like, oh

869
00:48:56.079 --> 00:48:59.400
<v Speaker 1>now I get it, or like this insight into the

870
00:48:59.440 --> 00:49:04.639
<v Speaker 1>scientific process I didn't really like it wasn't, as I

871
00:49:04.639 --> 00:49:08.039
<v Speaker 1>guess deep until you set out to write this book.

872
00:49:09.440 --> 00:49:12.800
<v Speaker 2>I mean, I don't know if there was one big

873
00:49:12.800 --> 00:49:16.360
<v Speaker 2>insight in particular, but I'm remembering there's like there were

874
00:49:16.400 --> 00:49:21.440
<v Speaker 2>a couple of moments where yeah, I kind of shifted

875
00:49:21.440 --> 00:49:25.280
<v Speaker 2>my perspective, so like one that I'm thinking of is

876
00:49:25.760 --> 00:49:30.320
<v Speaker 2>in the molecular biology chapter I had followed. This is

877
00:49:30.400 --> 00:49:33.599
<v Speaker 2>during the COVID nineteen pandemic. So I'm stuck at home

878
00:49:33.880 --> 00:49:37.000
<v Speaker 2>and I'm just like zooming and calling all these scientists

879
00:49:37.199 --> 00:49:41.360
<v Speaker 2>around the world who are sequencing SARS kobe two samples

880
00:49:41.440 --> 00:49:45.400
<v Speaker 2>to try to better understand how the virus is spreading,

881
00:49:45.480 --> 00:49:49.719
<v Speaker 2>either through their community or through their country or between countries.

882
00:49:50.000 --> 00:49:53.880
<v Speaker 2>And I remember telling, you know, friends about this writer

883
00:49:54.000 --> 00:49:56.519
<v Speaker 2>friends about what I was finding, and you know, people

884
00:49:56.559 --> 00:49:58.800
<v Speaker 2>would ask things like, oh, so when they found that,

885
00:49:58.920 --> 00:50:02.400
<v Speaker 2>then that lead to some change in policy, right, Like

886
00:50:02.480 --> 00:50:05.239
<v Speaker 2>did that because that's you're thinking, that's the reason they're

887
00:50:05.280 --> 00:50:08.679
<v Speaker 2>doing this, right, that they're trying to stem the tide

888
00:50:08.679 --> 00:50:11.960
<v Speaker 2>of this of this pandemic somehow. And so I remember

889
00:50:12.000 --> 00:50:15.239
<v Speaker 2>reaching out again to one of the scientists. This is

890
00:50:16.000 --> 00:50:19.400
<v Speaker 2>a biologist in Wisconsin who was sequencing samples, and he

891
00:50:19.760 --> 00:50:24.599
<v Speaker 2>had found links between I guess cases that started on

892
00:50:24.679 --> 00:50:27.079
<v Speaker 2>the college campuses, and then it seemed like the same

893
00:50:27.519 --> 00:50:30.760
<v Speaker 2>strains of the virus ended up in nursing homes nearby,

894
00:50:31.559 --> 00:50:35.480
<v Speaker 2>and several of those nursing home residents died from COVID

895
00:50:35.519 --> 00:50:38.679
<v Speaker 2>and so he was able to, you know, provide evidence

896
00:50:38.679 --> 00:50:40.199
<v Speaker 2>for that just based on the you know, the ged

897
00:50:40.400 --> 00:50:44.039
<v Speaker 2>genetic composition of the virus. And so I asked him

898
00:50:44.480 --> 00:50:47.199
<v Speaker 2>if any policy had changed as a result, because prior

899
00:50:47.199 --> 00:50:49.400
<v Speaker 2>to this, like students were having parties, right like, there

900
00:50:49.480 --> 00:50:52.320
<v Speaker 2>was you know, there was a lot of stuff happening

901
00:50:52.480 --> 00:50:55.400
<v Speaker 2>on campus that was sort of contributing to the spread

902
00:50:55.519 --> 00:50:59.719
<v Speaker 2>to the community. And he said, no, I don't think

903
00:50:59.760 --> 00:51:02.880
<v Speaker 2>any thing changed after the study. I mean, it wasn't

904
00:51:02.920 --> 00:51:04.800
<v Speaker 2>it wasn't that the universe. He wasn't doing anything. Like.

905
00:51:04.880 --> 00:51:06.719
<v Speaker 2>Part of what happened was that by the time his

906
00:51:06.760 --> 00:51:09.679
<v Speaker 2>study was complete, the damage was already done, right, so

907
00:51:10.159 --> 00:51:13.599
<v Speaker 2>and the university had already started responding, you know, trying

908
00:51:13.639 --> 00:51:18.039
<v Speaker 2>to you know, put practice in place to stop infections.

909
00:51:19.320 --> 00:51:22.079
<v Speaker 2>And so, I, I guess from my perspective, I found

910
00:51:22.119 --> 00:51:24.519
<v Speaker 2>that kind of frustrating her because I was thinking, well,

911
00:51:25.159 --> 00:51:28.000
<v Speaker 2>isn't this like don't we want don't we want this

912
00:51:28.119 --> 00:51:30.920
<v Speaker 2>clear line from science to policy, right, Like, don't we

913
00:51:31.239 --> 00:51:34.360
<v Speaker 2>isn't that what we're aiming for? But he really had

914
00:51:34.599 --> 00:51:36.880
<v Speaker 2>a longer game in mind. He was you know, he said,

915
00:51:36.880 --> 00:51:39.719
<v Speaker 2>this is going to be useful for the next pandemic, Like,

916
00:51:39.719 --> 00:51:43.559
<v Speaker 2>if there's another pandemic, we can use this knowledge to

917
00:51:43.599 --> 00:51:47.239
<v Speaker 2>help us respond to that, and like these technical procedures

918
00:51:47.280 --> 00:51:49.119
<v Speaker 2>that we now have in place to sequence quickly and

919
00:51:49.159 --> 00:51:51.039
<v Speaker 2>so on, like that's going to be helpful as well.

920
00:51:51.079 --> 00:51:55.840
<v Speaker 2>So he was much more philosophical about it, And yeah,

921
00:51:55.880 --> 00:51:58.599
<v Speaker 2>I think they. I think he just saw it in

922
00:51:58.639 --> 00:52:01.320
<v Speaker 2>a much more big picture way than I did.

923
00:52:01.920 --> 00:52:06.960
<v Speaker 1>Yeah, and I have a feeling that the grind does

924
00:52:07.039 --> 00:52:13.079
<v Speaker 1>that to you that many young scientists probably do start out.

925
00:52:13.199 --> 00:52:15.239
<v Speaker 1>And I think it also depends on the field. It

926
00:52:15.320 --> 00:52:19.920
<v Speaker 1>depends on how translational the work that you're doing actually

927
00:52:20.079 --> 00:52:22.800
<v Speaker 1>is or versus how basic it is. But like that

928
00:52:23.440 --> 00:52:29.360
<v Speaker 1>early on in your career, there probably is this, you know, idealism,

929
00:52:29.639 --> 00:52:32.719
<v Speaker 1>this sort of commitment to I'm gonna answer these questions

930
00:52:32.760 --> 00:52:36.000
<v Speaker 1>and I'm gonna affect a lot of change. And ultimately

931
00:52:36.000 --> 00:52:39.800
<v Speaker 1>I think it's all you know, all roads lead to

932
00:52:41.159 --> 00:52:43.599
<v Speaker 1>improvement and progress and however you want to define it.

933
00:52:45.159 --> 00:52:48.920
<v Speaker 1>But probably the longer you work as a scientist, the

934
00:52:48.920 --> 00:52:53.679
<v Speaker 1>more you recognize that like structures are structures and systems

935
00:52:53.719 --> 00:52:59.039
<v Speaker 1>are systems, and we are slowly but surely changing the

936
00:52:59.079 --> 00:53:05.599
<v Speaker 1>shape of our society, but no one kind of published

937
00:53:05.679 --> 00:53:10.480
<v Speaker 1>study is going to finally make the politicians understand that,

938
00:53:10.840 --> 00:53:13.280
<v Speaker 1>you know, they should put more funding in this one area,

939
00:53:13.480 --> 00:53:16.079
<v Speaker 1>or those inflection point stories. I think that most of

940
00:53:16.199 --> 00:53:17.840
<v Speaker 1>us grow up reading. I mean, it kind of takes

941
00:53:17.880 --> 00:53:20.880
<v Speaker 1>us back to the beginning of our conversation, the lone genius,

942
00:53:20.920 --> 00:53:23.679
<v Speaker 1>the Eureka moment, like it's it's largely a myth.

943
00:53:25.559 --> 00:53:27.800
<v Speaker 2>Yeah, And I think it's funny how often, like the

944
00:53:27.920 --> 00:53:31.880
<v Speaker 2>term Nobel Prize comes up when like regular people talk

945
00:53:31.920 --> 00:53:33.719
<v Speaker 2>about scientists. I don't I don't know. I feel like

946
00:53:33.760 --> 00:53:37.000
<v Speaker 2>there's just this impression that, oh, or they're all trying

947
00:53:37.000 --> 00:53:39.599
<v Speaker 2>to get a Nobel Prize or something. And I'm like, no, like,

948
00:53:39.639 --> 00:53:42.760
<v Speaker 2>hardly anyone's gonna exactly, and they're gonna.

949
00:53:42.519 --> 00:53:45.000
<v Speaker 1>Get it when they're like ninety. Anyway, it's gonna be

950
00:53:45.079 --> 00:53:47.360
<v Speaker 1>like decades after. It's gonna be about a thing that's

951
00:53:47.400 --> 00:53:49.519
<v Speaker 1>like hardly even relevant anymore. I mean, it is still

952
00:53:49.559 --> 00:53:52.679
<v Speaker 1>really relevant, but like it's the foundational thing and the

953
00:53:52.719 --> 00:53:56.000
<v Speaker 1>reason we could later do all these other cool things.

954
00:53:56.159 --> 00:54:00.199
<v Speaker 2>Yeah. Yeah, I mean I think there's there's some it

955
00:54:00.239 --> 00:54:03.920
<v Speaker 2>does seem like scientists, for most of them, there isn't

956
00:54:03.960 --> 00:54:07.639
<v Speaker 2>going to be some huge burst of glory at the end.

957
00:54:08.000 --> 00:54:10.280
<v Speaker 2>I mean, of course, within their field they might be appreciated,

958
00:54:10.360 --> 00:54:14.159
<v Speaker 2>but you know, outside that they no one might even

959
00:54:14.239 --> 00:54:18.679
<v Speaker 2>know what they've ever done in their lifetime. But that

960
00:54:18.760 --> 00:54:21.199
<v Speaker 2>seems to be enough for them. There's a lot of

961
00:54:21.239 --> 00:54:22.800
<v Speaker 2>I mean, I think the other lesson that I took

962
00:54:22.800 --> 00:54:26.440
<v Speaker 2>away is that I just thought of sciences, it's this

963
00:54:26.559 --> 00:54:31.360
<v Speaker 2>act of humility because you're accepting that you're playing such

964
00:54:31.400 --> 00:54:35.639
<v Speaker 2>a tiny role in this bigger enterprise. And it's also

965
00:54:36.079 --> 00:54:39.559
<v Speaker 2>an act of hope that all of those people's work,

966
00:54:39.639 --> 00:54:43.280
<v Speaker 2>all of the scientists work put together collectively will make

967
00:54:43.280 --> 00:54:44.679
<v Speaker 2>a difference in the end.

968
00:54:45.760 --> 00:54:50.079
<v Speaker 1>And I mean it really does speak to like even

969
00:54:50.119 --> 00:54:54.280
<v Speaker 1>just the title of your book, Lost in Curiosity, I

970
00:54:54.320 --> 00:54:58.440
<v Speaker 1>don't think that most people, if they didn't have just

971
00:54:58.519 --> 00:55:05.280
<v Speaker 1>a fundamental hunger, a fundamental interest and like awe when

972
00:55:05.320 --> 00:55:09.199
<v Speaker 1>it comes to understanding the natural world, most people would

973
00:55:09.199 --> 00:55:12.159
<v Speaker 1>not The risk benefit analysis is not always in the

974
00:55:12.280 --> 00:55:15.639
<v Speaker 1>fev of a scientist, right Like it can be a

975
00:55:15.760 --> 00:55:19.840
<v Speaker 1>very thankless job. It can be incredibly difficult to constantly

976
00:55:19.880 --> 00:55:22.519
<v Speaker 1>be trying to get enough funding to keep your lab afloat,

977
00:55:22.800 --> 00:55:27.000
<v Speaker 1>to constantly fight for your job. It's very competitive sometimes

978
00:55:27.039 --> 00:55:30.400
<v Speaker 1>to get into let's say a postdoc. Like sometimes you

979
00:55:30.440 --> 00:55:33.679
<v Speaker 1>are literally moving across the country. You're leaving everything that

980
00:55:33.719 --> 00:55:35.880
<v Speaker 1>you know and love, or asking them to come with

981
00:55:35.960 --> 00:55:40.119
<v Speaker 1>you to get a position where you're underpaid, where you're overworked.

982
00:55:40.559 --> 00:55:46.159
<v Speaker 1>And you know, if these individual scientists did not absolutely

983
00:55:47.239 --> 00:55:52.239
<v Speaker 1>love the pursuit of knowledge and we're not fundamentally curious

984
00:55:52.800 --> 00:55:57.000
<v Speaker 1>about answering these questions, I just can't imagine most people

985
00:55:57.079 --> 00:56:00.280
<v Speaker 1>would be doing science. It just like it doesn't pay enough.

986
00:56:02.599 --> 00:56:05.360
<v Speaker 2>Yeah, I mean, that is that's one part of the

987
00:56:05.639 --> 00:56:08.239
<v Speaker 2>of science that I maybe didn't get into as much

988
00:56:08.360 --> 00:56:10.679
<v Speaker 2>in the book. But I think the public also doesn't

989
00:56:10.719 --> 00:56:13.880
<v Speaker 2>really realize. It's just the personal sacrifices that are made,

990
00:56:13.960 --> 00:56:16.000
<v Speaker 2>like you said, like moving away from the community that

991
00:56:16.039 --> 00:56:18.920
<v Speaker 2>you maybe are familiar with, where all your friends are

992
00:56:18.960 --> 00:56:22.719
<v Speaker 2>starting all over again every few years. Yeah, I mean,

993
00:56:22.760 --> 00:56:25.360
<v Speaker 2>there's there's a lot going on behind the scenes, and

994
00:56:25.400 --> 00:56:29.480
<v Speaker 2>a lot of sacrifices behind the scenes that allow us

995
00:56:29.519 --> 00:56:32.440
<v Speaker 2>to get those scientific results that we then see reported

996
00:56:32.440 --> 00:56:32.960
<v Speaker 2>in the news.

997
00:56:33.800 --> 00:56:39.000
<v Speaker 1>Absolutely and pretty much everything we know to be true.

998
00:56:40.159 --> 00:56:46.880
<v Speaker 1>It's really because so many people stayed up late at night,

999
00:56:47.119 --> 00:56:51.880
<v Speaker 1>so many people, you know, really dedicated themselves and pushed past,

1000
00:56:52.679 --> 00:56:56.320
<v Speaker 1>you know, some boundary, some threshold, some comfort level in

1001
00:56:56.559 --> 00:57:00.400
<v Speaker 1>order to be able to answer the tiniest little piece

1002
00:57:00.559 --> 00:57:03.480
<v Speaker 1>of that, you know, puzzle that equation, that tapestry, Like

1003
00:57:03.519 --> 00:57:08.920
<v Speaker 1>you mentioned that mosaic, right, each individual story in and

1004
00:57:08.960 --> 00:57:12.079
<v Speaker 1>of itself is I think it's not just unique and

1005
00:57:12.920 --> 00:57:18.920
<v Speaker 1>valuable and necessary, but it's it's interesting in and of itself.

1006
00:57:18.960 --> 00:57:21.800
<v Speaker 1>But then once you kind of position each story within

1007
00:57:21.840 --> 00:57:27.239
<v Speaker 1>the larger milieu, you start to see the forest for

1008
00:57:27.360 --> 00:57:31.639
<v Speaker 1>the trees and understand that it literally takes all of

1009
00:57:31.679 --> 00:57:35.119
<v Speaker 1>these people, all of these individual people at whatever level

1010
00:57:35.119 --> 00:57:39.480
<v Speaker 1>they're working right undergrads in a genetics lab, you know,

1011
00:57:39.559 --> 00:57:43.400
<v Speaker 1>tenured professors who are at that sort of nobel you

1012
00:57:43.440 --> 00:57:48.760
<v Speaker 1>know level, and literally every single person in between just

1013
00:57:49.079 --> 00:57:52.039
<v Speaker 1>staying curious and staying the course and beating their head

1014
00:57:52.039 --> 00:57:53.320
<v Speaker 1>against the wall.

1015
00:57:53.280 --> 00:57:55.599
<v Speaker 2>And their experiments.

1016
00:57:54.880 --> 00:57:59.000
<v Speaker 3>Don't work out to be able for all of us

1017
00:57:59.039 --> 00:58:02.280
<v Speaker 3>today to have the comforts that we have to have

1018
00:58:02.360 --> 00:58:07.559
<v Speaker 3>the medicines and the technologies and just the understanding of

1019
00:58:07.599 --> 00:58:09.559
<v Speaker 3>where we came from and where we're going.

1020
00:58:10.840 --> 00:58:16.639
<v Speaker 1>And I'm just like endlessly grateful for anybody who chooses

1021
00:58:16.639 --> 00:58:19.840
<v Speaker 1>to dedicate their life to science. I think it's such

1022
00:58:19.840 --> 00:58:22.039
<v Speaker 1>a as you mentioned, it's a humble pursuit. It's also

1023
00:58:22.159 --> 00:58:23.400
<v Speaker 1>very very noble pursuit.

1024
00:58:24.880 --> 00:58:28.320
<v Speaker 2>Yeah, I mean, I think gratitude is another emotion that

1025
00:58:28.360 --> 00:58:31.679
<v Speaker 2>I came away with after reporting the book. I mean,

1026
00:58:31.760 --> 00:58:35.239
<v Speaker 2>you know, I read the news headlines about sea level rise,

1027
00:58:35.320 --> 00:58:38.880
<v Speaker 2>like glaciers melting, whatever, and like, oh, this study found this.

1028
00:58:38.960 --> 00:58:42.039
<v Speaker 2>And then you know, when you actually go to when

1029
00:58:42.039 --> 00:58:46.360
<v Speaker 2>you actually see what it takes to gather that data

1030
00:58:46.400 --> 00:58:51.639
<v Speaker 2>from a place like Greenland, and how much sacrifice and

1031
00:58:51.679 --> 00:58:56.199
<v Speaker 2>struggle goes into that, you realize, Wow, there's I mean,

1032
00:58:56.639 --> 00:58:59.440
<v Speaker 2>just to get this information, for us to bring this

1033
00:58:59.519 --> 00:59:03.159
<v Speaker 2>information and home does as a species, you know, it's

1034
00:59:03.280 --> 00:59:05.920
<v Speaker 2>it is a cause for tremendous gratitude.

1035
00:59:06.920 --> 00:59:10.360
<v Speaker 1>Absolutely well, gosh, I feel like I could talk to

1036
00:59:10.360 --> 00:59:13.360
<v Speaker 1>you about this all day, but I also don't don't

1037
00:59:13.440 --> 00:59:17.159
<v Speaker 1>want to keep you or the listeners any longer. Everybody

1038
00:59:17.239 --> 00:59:21.320
<v Speaker 1>the book is Lost in Curiosity. Field Notes from Scientists'

1039
00:59:21.360 --> 00:59:24.840
<v Speaker 1>Adventures into the Unknown by ROBERTA.

1040
00:59:24.920 --> 00:59:25.159
<v Speaker 2>Quack.

1041
00:59:25.280 --> 00:59:27.800
<v Speaker 1>Roberta, thank you so much for being here with us today.

1042
00:59:28.519 --> 00:59:30.760
<v Speaker 2>This was wonderful, so much fun. Thank you for having me.

1043
00:59:31.280 --> 00:59:34.239
<v Speaker 1>Absolutely and everybody listening. Thank you for coming back week

1044
00:59:34.360 --> 00:59:37.039
<v Speaker 1>after week. I'm really looking forward to the next time

1045
00:59:37.079 --> 00:59:39.159
<v Speaker 1>we all get together to talk. Meredy
