1 00:00:05,800 --> 00:00:07,840 Speaker 1: Hey, you welcome to Stuff to Blow Your Mind. My 2 00:00:07,880 --> 00:00:11,240 Speaker 1: name is Robert Lamb and I'm Joe McCormick, and it's Saturday, 3 00:00:11,480 --> 00:00:13,480 Speaker 1: so we are heading into the vault for an older 4 00:00:13,520 --> 00:00:16,600 Speaker 1: episode of Stuff to Blow Your Mind. This one originally 5 00:00:16,640 --> 00:00:20,560 Speaker 1: aired on April fourteenth, twenty twenty two, and it's part 6 00:00:20,560 --> 00:00:23,079 Speaker 1: two of our series on whether or not plants have 7 00:00:23,360 --> 00:00:26,639 Speaker 1: memories or anything analogous to memory. So we hope you 8 00:00:26,760 --> 00:00:32,839 Speaker 1: enjoy Welcome to Stuff to Blow your Mind, a production 9 00:00:32,880 --> 00:00:42,920 Speaker 1: of iHeartRadio. Hey, welcome to Stuff to Blow your Mind. 10 00:00:43,080 --> 00:00:45,720 Speaker 1: My name is Robert Lamb and I'm Joe McCormick, and 11 00:00:45,800 --> 00:00:48,440 Speaker 1: we're back for part two of our series on the 12 00:00:48,920 --> 00:00:53,519 Speaker 1: possible evidence for memory and learning in plants. Now, this 13 00:00:53,560 --> 00:00:55,080 Speaker 1: is one of our series where if you haven't listened 14 00:00:55,120 --> 00:00:56,920 Speaker 1: to part one yet, you really should go back and 15 00:00:56,960 --> 00:00:58,880 Speaker 1: do that one first, since we clear a lot of 16 00:00:58,880 --> 00:01:00,680 Speaker 1: the ground for what we're going to be talking about today. 17 00:01:00,680 --> 00:01:01,720 Speaker 1: This is one that I think is going to be 18 00:01:01,800 --> 00:01:03,960 Speaker 1: kind of hard to jump in in the middle. But 19 00:01:04,600 --> 00:01:07,759 Speaker 1: in that past episode, for a refresher, we talked about 20 00:01:07,800 --> 00:01:10,320 Speaker 1: a plant called known as the sensitive plant or the 21 00:01:10,400 --> 00:01:14,000 Speaker 1: humble plant, the shame plant that touched me not scientific 22 00:01:14,160 --> 00:01:17,720 Speaker 1: name Mimosa pudica, which is one of the few plants 23 00:01:17,720 --> 00:01:21,039 Speaker 1: in the world that displays rapid movement or movement on 24 00:01:21,080 --> 00:01:25,200 Speaker 1: the time scale usually associated with animal life, and we 25 00:01:25,319 --> 00:01:29,199 Speaker 1: talked about experiments from twenty fourteen that appeared to show 26 00:01:29,240 --> 00:01:33,480 Speaker 1: a form of rudimentary learning called habituation in these plants, 27 00:01:33,520 --> 00:01:36,600 Speaker 1: where for example, if you take a potted Mimosa pudica 28 00:01:36,680 --> 00:01:39,520 Speaker 1: and you drop it the exact same way over many 29 00:01:39,560 --> 00:01:42,600 Speaker 1: training sessions, it will adapt so that it no longer 30 00:01:42,680 --> 00:01:46,440 Speaker 1: closes its leaves defensively in response to a drop, but 31 00:01:46,680 --> 00:01:49,160 Speaker 1: it will still close its leaves in response to other 32 00:01:49,200 --> 00:01:52,400 Speaker 1: types of disturbance. So if this type of finding holds 33 00:01:52,480 --> 00:01:55,400 Speaker 1: up to scrutiny and replication, it would be evidence that 34 00:01:55,480 --> 00:01:59,000 Speaker 1: even though this plant has no brain, it has some 35 00:01:59,200 --> 00:02:03,160 Speaker 1: kind of internal mechanism for learning from experience in order 36 00:02:03,160 --> 00:02:06,480 Speaker 1: to maximize its fitness. And of course, at some level, 37 00:02:06,760 --> 00:02:09,200 Speaker 1: learning requires a form of what we would think of 38 00:02:09,240 --> 00:02:12,320 Speaker 1: as memory. In order to learn from the past, you 39 00:02:12,360 --> 00:02:15,200 Speaker 1: have to have some way of being changed by the past, 40 00:02:15,320 --> 00:02:19,400 Speaker 1: to store the past within you in an organized way 41 00:02:19,440 --> 00:02:22,960 Speaker 1: that can influence future behavior, which, of course we do 42 00:02:23,080 --> 00:02:27,400 Speaker 1: with our brains. But if plants in some cases also 43 00:02:27,520 --> 00:02:30,960 Speaker 1: do this, it's a great question what is the mechanism 44 00:02:31,000 --> 00:02:35,000 Speaker 1: They obviously don't have brains. And finally, in the last episode, 45 00:02:35,800 --> 00:02:40,120 Speaker 1: we tried to disentangle different claims about so called plant cognition, 46 00:02:40,200 --> 00:02:44,040 Speaker 1: which is a controversial concept. We noted that memory is 47 00:02:44,120 --> 00:02:46,240 Speaker 1: not the same thing as reasoning, which is not the 48 00:02:46,280 --> 00:02:48,760 Speaker 1: same as consciousness, which is not the same as emotion 49 00:02:48,919 --> 00:02:55,280 Speaker 1: or communication or or or plant like psychic plant mind reading, 50 00:02:55,320 --> 00:02:59,760 Speaker 1: which some people have also claimed evidence oft without much justification, 51 00:03:00,360 --> 00:03:03,320 Speaker 1: and with the final point being that evidence for one 52 00:03:03,360 --> 00:03:06,440 Speaker 1: of these traits is not necessarily evidence for others. But 53 00:03:06,560 --> 00:03:08,960 Speaker 1: today we're going to look at some more research that 54 00:03:09,080 --> 00:03:12,640 Speaker 1: has been interpreted as showing plant memory or plant cognition 55 00:03:12,639 --> 00:03:15,440 Speaker 1: in the past decade, as well as some reaction and 56 00:03:15,480 --> 00:03:18,760 Speaker 1: criticism to that. Yeah. Now, in the last episode I 57 00:03:19,320 --> 00:03:22,920 Speaker 1: mentioned some music. I mentioned both Celtic Frost's metal album 58 00:03:22,960 --> 00:03:28,640 Speaker 1: to Megatherian Uh and mort Garson's Plantasia, and both were 59 00:03:28,720 --> 00:03:32,000 Speaker 1: kind of offhand references, and afterwards I was looking into 60 00:03:32,000 --> 00:03:33,440 Speaker 1: it a little bit more, and I was first of 61 00:03:33,480 --> 00:03:37,440 Speaker 1: all delighted to see that Plantasia is more widely regarded 62 00:03:37,440 --> 00:03:40,840 Speaker 1: as a classic than I thought it was. Um, I 63 00:03:40,880 --> 00:03:43,640 Speaker 1: was familiar with mort Garson's work, and um, you know, 64 00:03:43,640 --> 00:03:47,240 Speaker 1: I was delighted that his work had recently been reissued 65 00:03:47,280 --> 00:03:49,840 Speaker 1: by Sacred Bones Records. I think I had to make 66 00:03:49,880 --> 00:03:54,040 Speaker 1: do with some some some some bad copies back in 67 00:03:54,080 --> 00:03:56,640 Speaker 1: the day. Sorry, we refresh on the on the mort 68 00:03:56,680 --> 00:03:59,720 Speaker 1: Garson album, it was so mort Garson. It was a 69 00:04:00,520 --> 00:04:05,040 Speaker 1: pioneer of electronic music and synth work. And he had 70 00:04:05,040 --> 00:04:07,640 Speaker 1: a few different monikers that he used. He did some 71 00:04:07,920 --> 00:04:10,760 Speaker 1: like some occult sounding sounds and so forth. But he 72 00:04:10,800 --> 00:04:14,040 Speaker 1: also put out this album Plantasia, which was music to 73 00:04:14,040 --> 00:04:17,360 Speaker 1: be played for your plants very much. Jumping in on 74 00:04:17,440 --> 00:04:22,440 Speaker 1: this The Secret Lives of Plants one, I don't want 75 00:04:22,440 --> 00:04:26,200 Speaker 1: to say hysteria, We'll say popularity during the nineteen seventies. 76 00:04:26,680 --> 00:04:30,839 Speaker 1: And as we discussed in that episode, and we'll discuss 77 00:04:30,839 --> 00:04:33,880 Speaker 1: a little bit here. Yeah, this album is not actually 78 00:04:33,880 --> 00:04:35,680 Speaker 1: going to help your plants out in any of your plants. 79 00:04:35,720 --> 00:04:38,320 Speaker 1: Do not care about Mark Garson's discography as much as 80 00:04:38,360 --> 00:04:41,720 Speaker 1: you do or I do, But it is a very 81 00:04:41,800 --> 00:04:45,680 Speaker 1: nice album for human listeners. Sure, And hey, as I 82 00:04:45,680 --> 00:04:47,760 Speaker 1: said in the last episode, even if it doesn't actually 83 00:04:47,760 --> 00:04:50,839 Speaker 1: do anything for your plants, which it probably doesn't no 84 00:04:50,920 --> 00:04:52,680 Speaker 1: reason not to play it for your plants. I mean 85 00:04:52,720 --> 00:04:55,320 Speaker 1: that sounds fun. Yeah, so I was delighted to see that, 86 00:04:55,360 --> 00:04:57,479 Speaker 1: even though there was a New York Times article about 87 00:04:58,200 --> 00:05:02,080 Speaker 1: this album's popularity and increased popularity I think in part 88 00:05:02,120 --> 00:05:04,479 Speaker 1: due to the reissue, but also they were making the 89 00:05:04,520 --> 00:05:07,880 Speaker 1: point due to the resurgence and interest in houseplants during 90 00:05:07,880 --> 00:05:11,440 Speaker 1: the pandemic, you know, don't. I don't know about about you, 91 00:05:11,520 --> 00:05:13,240 Speaker 1: but I think I don't know if we actually picked 92 00:05:13,279 --> 00:05:15,479 Speaker 1: up that. No, we did pick up more house plants. 93 00:05:15,520 --> 00:05:17,520 Speaker 1: I think some of them were gifted to us. But 94 00:05:17,640 --> 00:05:20,240 Speaker 1: we have all sorts of little succulents like hanging out 95 00:05:20,279 --> 00:05:22,480 Speaker 1: all over the house that we accumulated over the past 96 00:05:22,480 --> 00:05:24,200 Speaker 1: couple of years. I don't know the name for them. 97 00:05:24,240 --> 00:05:27,800 Speaker 1: At Rachel has some kind of houseplant that repeatedly produces buds, 98 00:05:27,839 --> 00:05:29,360 Speaker 1: like I guess, stalks will come off of it, and 99 00:05:29,400 --> 00:05:31,640 Speaker 1: you can separate them and turn them into their own 100 00:05:31,720 --> 00:05:33,800 Speaker 1: new potted version of that same plant, kind of like 101 00:05:34,600 --> 00:05:38,320 Speaker 1: getting a grimlin wet or something. Just you know, they 102 00:05:38,839 --> 00:05:41,440 Speaker 1: repopulate and go all over the place. So I think 103 00:05:41,480 --> 00:05:46,600 Speaker 1: we have had at least proliferation of existing plants. Yeah, 104 00:05:46,680 --> 00:05:49,600 Speaker 1: and house plants are great, no doubt about it. But 105 00:05:50,240 --> 00:05:52,400 Speaker 1: on the other hand, I was looking around for stuff 106 00:05:52,440 --> 00:05:54,000 Speaker 1: on this, and I was kind of taken aback at 107 00:05:54,000 --> 00:05:56,960 Speaker 1: just how much content there is out there on the 108 00:05:57,000 --> 00:05:59,960 Speaker 1: Internet regarding playing music for plants. And while I didn't 109 00:06:00,040 --> 00:06:04,080 Speaker 1: find anyone actually exalting the benefits of playing Celtic Frost 110 00:06:04,480 --> 00:06:08,320 Speaker 1: for your philodendrons, there are pages talking about the merits 111 00:06:08,320 --> 00:06:12,680 Speaker 1: of different musical genres alleged merits, i should say, for 112 00:06:12,839 --> 00:06:16,400 Speaker 1: plant growth, including the idea that heavy metal can improve 113 00:06:16,480 --> 00:06:19,919 Speaker 1: plant mass and fruit taste, provided that it's not too 114 00:06:20,000 --> 00:06:24,239 Speaker 1: noisy or presumably too heavy beautiful. What is the best 115 00:06:24,320 --> 00:06:28,640 Speaker 1: thrash metal for your plants? I've got to assume downstream 116 00:06:28,680 --> 00:06:30,840 Speaker 1: of this, some people who believe in this, really they 117 00:06:30,839 --> 00:06:33,680 Speaker 1: think their plants have individual tastes, like my plants really 118 00:06:33,680 --> 00:06:36,600 Speaker 1: love motor Head. Yeah. I mean, I think we said 119 00:06:36,600 --> 00:06:40,320 Speaker 1: before death metal bands need to get in on beans 120 00:06:40,360 --> 00:06:44,719 Speaker 1: and realize that in the folklore it canon, bean plants 121 00:06:44,760 --> 00:06:48,360 Speaker 1: are closely associated with the world of the dead and 122 00:06:48,480 --> 00:06:54,080 Speaker 1: this should be embraced. Sure, Now, all this being said, yeah, 123 00:06:54,120 --> 00:06:56,520 Speaker 1: not every source popping up on the subject is something 124 00:06:56,600 --> 00:06:58,680 Speaker 1: that I would take to the bank at all. But 125 00:06:58,839 --> 00:07:03,880 Speaker 1: plants do produce vibrations and can respond to sound vibrations. 126 00:07:04,320 --> 00:07:06,880 Speaker 1: Now I got interested in this idea thinking about plants 127 00:07:06,960 --> 00:07:11,720 Speaker 1: responding to sound, and I started wondering about a question. 128 00:07:11,720 --> 00:07:14,400 Speaker 1: I think this is always something good to wonder about. 129 00:07:14,440 --> 00:07:16,960 Speaker 1: When you hear a claim about a life form, you think, 130 00:07:17,440 --> 00:07:20,800 Speaker 1: what would be the original ecological relevance of this, like 131 00:07:20,920 --> 00:07:24,239 Speaker 1: in the actual environment, not in a in a house 132 00:07:24,360 --> 00:07:27,320 Speaker 1: or a lab or something. Why would this kind of 133 00:07:27,360 --> 00:07:29,960 Speaker 1: stimulus be relevant? So I looked it up in the 134 00:07:29,960 --> 00:07:32,840 Speaker 1: scientific literature and I did find some interesting examples. One 135 00:07:32,880 --> 00:07:36,560 Speaker 1: of them was a paper published in Ecologia in twenty 136 00:07:36,600 --> 00:07:40,880 Speaker 1: fourteen by HIGDM Apple and Reginald B. Cocroft called plants 137 00:07:40,920 --> 00:07:45,640 Speaker 1: respond to leaf vibrations caused by insect herbivore chewing. And 138 00:07:46,000 --> 00:07:49,720 Speaker 1: this study found that if you reproduce the sounds made 139 00:07:49,800 --> 00:07:53,400 Speaker 1: by a caterpillar feeding on a leaf and then expose 140 00:07:53,520 --> 00:07:57,160 Speaker 1: those sounds to what's known as a thail cress plant, 141 00:07:57,240 --> 00:08:01,840 Speaker 1: the plant will respond by producing higher level of glucosinolate 142 00:08:01,920 --> 00:08:06,360 Speaker 1: and anthocyanin, which are defensive chemicals. So, if this finding 143 00:08:06,400 --> 00:08:09,800 Speaker 1: is sound, then the plant does actually detect sound, and 144 00:08:09,920 --> 00:08:14,480 Speaker 1: it is ecologically relevant. Sound is an indicator of nearby predation. 145 00:08:14,640 --> 00:08:18,400 Speaker 1: The plant is it is being threatened by what is 146 00:08:18,440 --> 00:08:23,000 Speaker 1: producing this caterpillar eating sound. Yeah, and there's another study 147 00:08:23,000 --> 00:08:25,440 Speaker 1: that I believe came out the same year, conducted by 148 00:08:25,440 --> 00:08:31,640 Speaker 1: Italian botanist Stefano Mancuso, who found that roots could seek 149 00:08:31,640 --> 00:08:36,480 Speaker 1: out buried pipes of running water seemingly attracted to the sound. 150 00:08:37,000 --> 00:08:42,840 Speaker 1: So again, if if these results hold up. Basically, the 151 00:08:42,880 --> 00:08:45,200 Speaker 1: idea here is you have water running through a pipe 152 00:08:45,400 --> 00:08:49,120 Speaker 1: that is otherwise, you know, completely set apart from the dirt, 153 00:08:49,120 --> 00:08:52,440 Speaker 1: from the dirt from the soil, and yet the roots 154 00:08:52,559 --> 00:08:56,760 Speaker 1: are moving towards the water anyway, how would they know 155 00:08:56,800 --> 00:08:59,319 Speaker 1: the water? Is there? The ideas that they're picking up 156 00:08:59,320 --> 00:09:01,880 Speaker 1: on the sound, picking up on the vibrations, right, and 157 00:09:01,920 --> 00:09:04,600 Speaker 1: so again you could wonder how would that be ecologically relevant? 158 00:09:04,760 --> 00:09:06,560 Speaker 1: It seems plausible to me. I mean, they're all kinds 159 00:09:06,559 --> 00:09:09,440 Speaker 1: of like underground water flows and so and those would 160 00:09:09,480 --> 00:09:14,560 Speaker 1: of course produce vibrations right now, And you might then wonder, well, okay, 161 00:09:14,559 --> 00:09:16,760 Speaker 1: if there's a sound of running water and my ambient music, 162 00:09:16,800 --> 00:09:20,000 Speaker 1: does that mean my plant wants it. I think that's 163 00:09:20,000 --> 00:09:24,079 Speaker 1: a more Maybe that's a kind of a simple, simplified 164 00:09:24,360 --> 00:09:26,400 Speaker 1: argument to make. I think you get into a lot 165 00:09:26,440 --> 00:09:30,960 Speaker 1: of discussions about like the differences between how the plant 166 00:09:31,040 --> 00:09:33,720 Speaker 1: is quote unquote hearing and how we are quote unquote 167 00:09:33,760 --> 00:09:36,640 Speaker 1: hearing something, right, I mean, I would say it's hard 168 00:09:36,720 --> 00:09:41,320 Speaker 1: to imagine that there's a evolutionarily justified reason a plant 169 00:09:41,320 --> 00:09:45,920 Speaker 1: would respond to music in particular, But of course there 170 00:09:45,920 --> 00:09:49,280 Speaker 1: are probably good reasons for plants to respond to certain 171 00:09:49,360 --> 00:09:52,440 Speaker 1: types of noise. So to be very generous, I guess 172 00:09:52,440 --> 00:09:55,360 Speaker 1: it's possible that in some cases, some types of music 173 00:09:55,480 --> 00:09:59,880 Speaker 1: might accidentally trigger something like a tropism or a stress 174 00:10:00,080 --> 00:10:04,079 Speaker 1: response in a plant, where it might make the plant, 175 00:10:04,320 --> 00:10:06,520 Speaker 1: I don't know, look different in some way that the 176 00:10:06,520 --> 00:10:09,880 Speaker 1: owner would be able to detect. It's possible. I'm sort 177 00:10:09,920 --> 00:10:11,880 Speaker 1: of skeptical even as far as that goes like the 178 00:10:11,880 --> 00:10:14,800 Speaker 1: accidental byproduct of certain types of music. But as I 179 00:10:14,800 --> 00:10:16,800 Speaker 1: said in the last episode, again, if you want to 180 00:10:16,800 --> 00:10:18,800 Speaker 1: play music for your plants, go for it. You know, 181 00:10:18,960 --> 00:10:21,160 Speaker 1: I don't think it makes sense to literally believe it's 182 00:10:21,200 --> 00:10:23,720 Speaker 1: doing anything for the plant itself, but it sounds like 183 00:10:23,880 --> 00:10:28,000 Speaker 1: a perfectly wonderful activity. Yeah, especially prints. Everybody loves prints, 184 00:10:28,000 --> 00:10:30,120 Speaker 1: so it makes sense that plants would love prints as well. 185 00:10:30,679 --> 00:10:33,560 Speaker 1: Now this is just one of the senses that plants 186 00:10:33,840 --> 00:10:36,600 Speaker 1: seem to possess. I've read that plants have somewhere between 187 00:10:36,640 --> 00:10:40,200 Speaker 1: fifteen and twenty distinct senses, and some of these can 188 00:10:40,280 --> 00:10:43,840 Speaker 1: be compared to our basic set of human senses. In 189 00:10:43,880 --> 00:10:47,440 Speaker 1: addition to sound, as Michael Pollen points out in his 190 00:10:47,600 --> 00:10:50,839 Speaker 1: wonderful article The Intelligent Plant from The New Yorker in 191 00:10:50,880 --> 00:10:53,920 Speaker 1: twenty thirteen, we have, of course, on the human side, 192 00:10:53,960 --> 00:10:57,440 Speaker 1: smell and taste, and plants do seem to sense and 193 00:10:57,520 --> 00:10:59,840 Speaker 1: respond to chemicals in the air or on their bodies. 194 00:11:00,760 --> 00:11:05,240 Speaker 1: We have sight, and plants react differently to various wavelengths 195 00:11:05,280 --> 00:11:08,640 Speaker 1: of light as well as to shadow. So plants like 196 00:11:08,760 --> 00:11:13,160 Speaker 1: us live in a world of periodic light and darkness, 197 00:11:13,160 --> 00:11:17,360 Speaker 1: and of course they depend heavily upon the light because 198 00:11:17,360 --> 00:11:19,880 Speaker 1: of photosenses, So it makes sense that this would be 199 00:11:19,920 --> 00:11:22,360 Speaker 1: in place. And then we have the sense of touch, 200 00:11:22,559 --> 00:11:26,000 Speaker 1: and a vine or root seems to know when it 201 00:11:26,120 --> 00:11:30,240 Speaker 1: encounters a solid object. So plant roots have been found 202 00:11:30,280 --> 00:11:35,440 Speaker 1: to be able to sense gravity, moisture, light, pressure, firmness, 203 00:11:35,800 --> 00:11:37,800 Speaker 1: so you know it's like they're encountering something that seems 204 00:11:37,800 --> 00:11:39,480 Speaker 1: to be a solid as opposed to something they can 205 00:11:39,480 --> 00:11:46,079 Speaker 1: continue to grow in into volume, nitrogen, phosphorus, salt, various toxins. 206 00:11:46,760 --> 00:11:49,960 Speaker 1: A lot of times, Pollen points out that the roots, 207 00:11:50,160 --> 00:11:52,199 Speaker 1: the toxins are going to be first encountered by those 208 00:11:52,280 --> 00:11:57,160 Speaker 1: roots microbes as well as chemical signals from other plants, 209 00:11:57,559 --> 00:11:59,319 Speaker 1: and in that just a little bit, you get into 210 00:11:59,360 --> 00:12:02,240 Speaker 1: the realm of communication. Yeah, And so my read on 211 00:12:02,280 --> 00:12:05,440 Speaker 1: this domain is that while a lot of the other 212 00:12:05,480 --> 00:12:09,599 Speaker 1: things in so called plant cognition could be considered pretty controversial, 213 00:12:09,679 --> 00:12:11,960 Speaker 1: even some of the stuff with better evidence for it, 214 00:12:12,000 --> 00:12:15,319 Speaker 1: like the memory stuff we're talking about, that's still somewhat controversial. 215 00:12:15,880 --> 00:12:20,920 Speaker 1: But plant sensation, the plants being able to gather information 216 00:12:21,000 --> 00:12:23,560 Speaker 1: about all kinds of different things in their environment, that 217 00:12:23,640 --> 00:12:26,480 Speaker 1: seems to me to be utterly uncontroversial. That's just they 218 00:12:26,520 --> 00:12:29,880 Speaker 1: clearly do that right now. A lot of the more 219 00:12:29,920 --> 00:12:34,360 Speaker 1: controversial and it's just flat out unbelievable stuff you encounter 220 00:12:34,400 --> 00:12:36,760 Speaker 1: out there about plants listening to music and so forth. 221 00:12:37,120 --> 00:12:39,760 Speaker 1: This is still st stemming from that nineteen seventy three 222 00:12:40,520 --> 00:12:43,120 Speaker 1: The Secret Life of Plants book by Tompkins and Bird 223 00:12:43,160 --> 00:12:47,160 Speaker 1: that we we talked about in the first episode, popular 224 00:12:47,200 --> 00:12:51,560 Speaker 1: work of mostly pseudoscience. That was also a huge setback 225 00:12:51,640 --> 00:12:55,600 Speaker 1: for legitimate research. And we should also point out that 226 00:12:56,080 --> 00:12:58,800 Speaker 1: make the point here too that there was of course 227 00:12:59,360 --> 00:13:03,880 Speaker 1: movement in the field of plant research into plants senses 228 00:13:04,040 --> 00:13:10,439 Speaker 1: and and you know, potentially plant intelligence decades earlier before Baxter, 229 00:13:10,600 --> 00:13:15,320 Speaker 1: before these these authors wrote this book. For instance, decades 230 00:13:15,360 --> 00:13:19,880 Speaker 1: before this, scientist jagades Chandra bows demonstrated the plants were 231 00:13:19,920 --> 00:13:24,160 Speaker 1: aware of their environment and that they responded to electrical stimulation. Sure, 232 00:13:24,440 --> 00:13:26,760 Speaker 1: but then comes The Secret Life of Plants, and it 233 00:13:27,040 --> 00:13:29,240 Speaker 1: was interesting. I was reading what Paullen had to say 234 00:13:29,240 --> 00:13:31,960 Speaker 1: about it in the in that article, and he points 235 00:13:32,000 --> 00:13:35,000 Speaker 1: out that this book may have resulted in the self 236 00:13:35,040 --> 00:13:39,160 Speaker 1: censorship of researchers that were touching on areas of plant 237 00:13:39,200 --> 00:13:43,120 Speaker 1: cognition or anything that hinted at similarities between plant and 238 00:13:43,200 --> 00:13:48,360 Speaker 1: animal senses. Paullen writes, quote, Americans began talking to their 239 00:13:48,360 --> 00:13:51,400 Speaker 1: plants and playing Mozart for them, and no doubt many 240 00:13:51,480 --> 00:13:54,760 Speaker 1: still do. This might seem harmless enough, there will probably 241 00:13:54,800 --> 00:13:58,080 Speaker 1: always be a strain of romanticism running through our thinking 242 00:13:58,160 --> 00:14:01,880 Speaker 1: about plants. Luther Burr Bank and George Washington Carver both 243 00:14:02,320 --> 00:14:05,480 Speaker 1: reputedly talk to and listen to the plants they did 244 00:14:05,520 --> 00:14:08,520 Speaker 1: such brilliant work with. But in the view of many 245 00:14:08,600 --> 00:14:11,559 Speaker 1: plants scientists, the science the secret life of plants has 246 00:14:11,600 --> 00:14:15,080 Speaker 1: done lasting damage to their field. Yeah, and you can 247 00:14:15,160 --> 00:14:17,480 Speaker 1: understand how this would happen. So there is a there 248 00:14:17,559 --> 00:14:22,320 Speaker 1: is a very culturally popular work of largely based on 249 00:14:22,360 --> 00:14:26,200 Speaker 1: pseudoscience or not well founded claims about the about the 250 00:14:26,240 --> 00:14:29,600 Speaker 1: intelligence or cognition of plants, and then for decades after 251 00:14:29,640 --> 00:14:35,440 Speaker 1: that you would have some reticence to get into thematically 252 00:14:35,560 --> 00:14:38,600 Speaker 1: similar research areas, even if you did have a better 253 00:14:38,640 --> 00:14:41,200 Speaker 1: evidential grounding for them. Yeah, I have to say it 254 00:14:41,200 --> 00:14:43,600 Speaker 1: reminds me a little bit of the situation with dolphin 255 00:14:43,640 --> 00:14:47,320 Speaker 1: communication research coming out in the sixties and seventies, with 256 00:14:47,400 --> 00:14:53,280 Speaker 1: its reputation somewhat tarnished or at least endangered by some 257 00:14:53,320 --> 00:14:57,400 Speaker 1: perspectives by John C. Lilli's work. And also it reminds 258 00:14:57,400 --> 00:14:59,240 Speaker 1: me a bit of the state of psychedelic research coming 259 00:14:59,240 --> 00:15:03,760 Speaker 1: out of the same time period, though of course, here 260 00:15:03,880 --> 00:15:07,920 Speaker 1: with psychedelics there was the added situation of these substances 261 00:15:08,280 --> 00:15:11,600 Speaker 1: becoming federally outlawed so no one was outlawing speaking to 262 00:15:11,680 --> 00:15:15,080 Speaker 1: plants or playing music for them after the Secret Life 263 00:15:15,080 --> 00:15:16,720 Speaker 1: of Plants came out, But we can see how the 264 00:15:16,760 --> 00:15:21,520 Speaker 1: whole affair became somewhat distracting and off putting to serious researchers. 265 00:15:21,560 --> 00:15:24,440 Speaker 1: You know, you're very this is your life's work. You 266 00:15:24,480 --> 00:15:27,720 Speaker 1: don't want it to be associated with this work of pseudoscience, 267 00:15:28,000 --> 00:15:34,120 Speaker 1: with this popular conception of what plants are doing, etc. Yeah, 268 00:15:34,200 --> 00:15:37,840 Speaker 1: I can totally see the parallel to psychedelic research because, yeah, 269 00:15:38,440 --> 00:15:41,840 Speaker 1: in recent years there's been a thaw on psychedelic research 270 00:15:41,880 --> 00:15:45,440 Speaker 1: and there's more legitimate experiment being done with them. But 271 00:15:45,520 --> 00:15:47,360 Speaker 1: I think for a long time, yeah, it wasn't just 272 00:15:47,480 --> 00:15:50,560 Speaker 1: the law. There was a I think a scientific stigma 273 00:15:50,600 --> 00:15:53,560 Speaker 1: about them because there had been a lot of the 274 00:15:53,600 --> 00:15:56,800 Speaker 1: early work on psychedelics was clearly done by people who 275 00:15:56,880 --> 00:16:01,360 Speaker 1: were not practicing unbiased objectives science, but had become sort 276 00:16:01,360 --> 00:16:07,520 Speaker 1: of psychedelic evangelists. And we're we're dedicated proponents of psychedelics, 277 00:16:07,520 --> 00:16:09,920 Speaker 1: and we're just like, how can I make them look good? 278 00:16:10,200 --> 00:16:13,120 Speaker 1: I'll do anything. Yeah, Ti Timothy Learry to be out 279 00:16:13,160 --> 00:16:17,520 Speaker 1: there being the major figure that fits that classification, and 280 00:16:17,600 --> 00:16:20,280 Speaker 1: I have to say, in my very brief survey of 281 00:16:20,640 --> 00:16:24,360 Speaker 1: some of this plant cognition stuff, one thing that does 282 00:16:24,480 --> 00:16:28,120 Speaker 1: make me a little suspicious, perhaps unfairly, of even the 283 00:16:28,160 --> 00:16:33,200 Speaker 1: more legitimate seeming plant cognition research, is that plant cognition 284 00:16:33,240 --> 00:16:38,440 Speaker 1: concepts seem to attract partisans who, at least as far 285 00:16:38,480 --> 00:16:41,800 Speaker 1: as I can tell, sometimes overextend what can be concluded 286 00:16:41,840 --> 00:16:44,520 Speaker 1: based on a piece of research. Like you could look 287 00:16:44,520 --> 00:16:48,240 Speaker 1: at a single study about you know, habituation or something 288 00:16:48,280 --> 00:16:51,600 Speaker 1: that looks like learning or memory and plants and conclude 289 00:16:51,720 --> 00:16:54,360 Speaker 1: from that that this means plants are conscious, they can think, 290 00:16:54,440 --> 00:16:56,520 Speaker 1: they can read my mind, they have a soul, or 291 00:16:56,560 --> 00:17:00,680 Speaker 1: so something like that, you know, over extrapolating from actually 292 00:17:00,720 --> 00:17:04,119 Speaker 1: what is a fairly contained result, or I think also 293 00:17:04,160 --> 00:17:07,800 Speaker 1: you see examples of some people and I'm not accusing 294 00:17:08,400 --> 00:17:11,640 Speaker 1: the researchers themselves of this, but more like people who 295 00:17:11,640 --> 00:17:15,359 Speaker 1: are excited about this research proponents, people who want to 296 00:17:15,400 --> 00:17:19,359 Speaker 1: use plant cognition research to prove ideas they've already acquired elsewhere, 297 00:17:19,520 --> 00:17:24,359 Speaker 1: like ideas about like a universal life spirit permeating all 298 00:17:24,440 --> 00:17:26,960 Speaker 1: things or something, or who take on a kind of 299 00:17:27,320 --> 00:17:32,080 Speaker 1: intellectual martyr persona like the closed minded academy wants to 300 00:17:32,080 --> 00:17:36,000 Speaker 1: destroy the truth, all of which are major red flags. 301 00:17:36,840 --> 00:17:39,399 Speaker 1: But of course it's something I've noticed more in the 302 00:17:39,440 --> 00:17:42,439 Speaker 1: fans of plant cognition research than in the research itself, 303 00:17:42,440 --> 00:17:44,880 Speaker 1: So I wouldn't hold that against the studies we're about 304 00:17:44,880 --> 00:17:49,680 Speaker 1: to talk about. Yeah, anytime science is used to advance 305 00:17:50,040 --> 00:17:54,119 Speaker 1: a non scientific you know, say a theology or some 306 00:17:54,200 --> 00:17:57,640 Speaker 1: sort of an ideology, you get into murky territory, even 307 00:17:57,680 --> 00:18:02,800 Speaker 1: if said theology or ideology isn't, at least on the surface, 308 00:18:03,000 --> 00:18:06,240 Speaker 1: something that's particularly harmful, even if it's yet something like, oh, 309 00:18:06,280 --> 00:18:09,200 Speaker 1: all life forms are connected on Earth, you know, Oh, 310 00:18:09,040 --> 00:18:11,720 Speaker 1: nothing wrong with believing that, is just like this study 311 00:18:11,800 --> 00:18:14,280 Speaker 1: does not show that, right, right, But the situation is 312 00:18:14,280 --> 00:18:17,399 Speaker 1: there is a lot of wonderfully impressive evidence on the 313 00:18:17,840 --> 00:18:21,160 Speaker 1: different ways that the plant, since their environment, they compete 314 00:18:21,160 --> 00:18:24,920 Speaker 1: with each other, communicate, and much more. And so this 315 00:18:25,119 --> 00:18:28,639 Speaker 1: research did continue and and continues to this day. A 316 00:18:28,760 --> 00:18:32,200 Speaker 1: pollen points to a shifting point around the year two 317 00:18:32,240 --> 00:18:34,280 Speaker 1: thousand and six. This is when an article came that 318 00:18:34,400 --> 00:18:38,119 Speaker 1: came out in Trends and Plant Science by six scientists 319 00:18:38,400 --> 00:18:40,800 Speaker 1: who were active in this field of research, and they 320 00:18:40,880 --> 00:18:46,119 Speaker 1: proposed a new field be established plant neurobiology, and Pollen 321 00:18:46,160 --> 00:18:50,040 Speaker 1: writes that more than a decade after this term was 322 00:18:50,080 --> 00:18:54,119 Speaker 1: first proposed, the plant science community was still somewhat split 323 00:18:54,200 --> 00:18:56,159 Speaker 1: on all of this, with some arguing that this was 324 00:18:56,200 --> 00:18:59,640 Speaker 1: a necessary step in the right direction of reconsidering what 325 00:19:00,000 --> 00:19:03,600 Speaker 1: institutes intelligence, and indeed this is something we see similar 326 00:19:03,720 --> 00:19:07,479 Speaker 1: discussions going on regarding the likes of ants and slime molds, 327 00:19:07,520 --> 00:19:12,440 Speaker 1: the ideas of you know, emergent intelligence, intelligence without brains, 328 00:19:13,240 --> 00:19:16,000 Speaker 1: you know, getting outside of the sort of you know, 329 00:19:16,080 --> 00:19:20,440 Speaker 1: basic human and animal conception of what intelligence is. Right 330 00:19:20,840 --> 00:19:22,560 Speaker 1: and of course this is also important when we get 331 00:19:22,560 --> 00:19:26,960 Speaker 1: into discussions of artificial intelligence and contemplations of what alien 332 00:19:27,040 --> 00:19:31,720 Speaker 1: intelligence could consist of. Well, this also recalls other types 333 00:19:31,720 --> 00:19:35,360 Speaker 1: of research along these lines, not in plants, but in say, animals, 334 00:19:35,359 --> 00:19:37,960 Speaker 1: are parts of animals in which a brain is not present. 335 00:19:38,400 --> 00:19:41,840 Speaker 1: You know, we did a couple of episodes about the 336 00:19:42,520 --> 00:19:47,560 Speaker 1: research perhaps indicating that certain types of flatworms could learn 337 00:19:47,720 --> 00:19:50,240 Speaker 1: without a brain, or that part of their body, when 338 00:19:50,280 --> 00:19:54,160 Speaker 1: cut off, could retain memories without the brain present. It's 339 00:19:54,160 --> 00:19:56,720 Speaker 1: an older series, so I know I'm forgetting some details, 340 00:19:56,720 --> 00:19:59,320 Speaker 1: but if you want the full story on that, the 341 00:19:59,520 --> 00:20:01,840 Speaker 1: pair of ses we did. I think we're called devourer 342 00:20:02,000 --> 00:20:13,919 Speaker 1: of memories. So anyway, plant neurobiology, some people, some researchers 343 00:20:14,040 --> 00:20:17,080 Speaker 1: in this field, very much behind the idea of this classification, 344 00:20:17,560 --> 00:20:20,639 Speaker 1: while others considered it kind of a backslide to the seventies, 345 00:20:20,680 --> 00:20:23,399 Speaker 1: you know, saying, look, we're trying to get past the 346 00:20:23,440 --> 00:20:28,280 Speaker 1: stigma of the secret life of plants. This just judges 347 00:20:28,320 --> 00:20:30,520 Speaker 1: it all back up again. Though though to be clear, 348 00:20:30,600 --> 00:20:35,240 Speaker 1: none of these plant neurobiology proponents were making these outrageous 349 00:20:35,240 --> 00:20:40,120 Speaker 1: claims about telepathy or plants having emotions, and the sort 350 00:20:40,160 --> 00:20:42,760 Speaker 1: of intelligence they're proposing is more in line with the 351 00:20:42,840 --> 00:20:45,760 Speaker 1: emergent modes of intelligence that we're discussing here now. One 352 00:20:45,800 --> 00:20:49,640 Speaker 1: of the key arguments for reconsidering the lives of plants 353 00:20:50,760 --> 00:20:54,879 Speaker 1: actually comes down to big revelations made through time lapse footage, 354 00:20:55,320 --> 00:20:59,679 Speaker 1: or if not key to the arguments, key to a 355 00:20:59,720 --> 00:21:06,680 Speaker 1: way of illustrating and studying the plants in question. By 356 00:21:06,760 --> 00:21:10,320 Speaker 1: speeding up long shots of growing stems and leaves and vines, 357 00:21:10,720 --> 00:21:13,800 Speaker 1: were able to sort of translate that timescale of plants 358 00:21:14,160 --> 00:21:16,800 Speaker 1: into the time scale of human beings. And it's not 359 00:21:16,840 --> 00:21:19,239 Speaker 1: just a matter of oh, look, if you speed up 360 00:21:19,240 --> 00:21:21,679 Speaker 1: the footage, it looks like a vine is crawling. Now 361 00:21:21,720 --> 00:21:23,119 Speaker 1: the vine is kind of like a snake and a 362 00:21:23,160 --> 00:21:26,480 Speaker 1: snakes and animal. And now I'm viewing the plant as 363 00:21:26,600 --> 00:21:28,840 Speaker 1: more of a you know, a rational being sort of thing. 364 00:21:29,880 --> 00:21:32,240 Speaker 1: I guess that's inherently part of it, at least to 365 00:21:32,240 --> 00:21:35,199 Speaker 1: the you know, the casual viewer. You're flipping around on 366 00:21:35,240 --> 00:21:37,000 Speaker 1: the TV and you happen to come across, you know, 367 00:21:37,040 --> 00:21:40,440 Speaker 1: one of these Planet Earth documentaries, and you see brilliant 368 00:21:41,000 --> 00:21:45,719 Speaker 1: footage like that. But in various experiments, it actually allows us, 369 00:21:45,840 --> 00:21:49,200 Speaker 1: this kind of footage allows us to better consider environmental interactions. 370 00:21:49,560 --> 00:21:52,119 Speaker 1: So one example that bald has brought up before, I 371 00:21:52,119 --> 00:21:54,520 Speaker 1: believe he I think he brings it up in if 372 00:21:54,560 --> 00:21:56,040 Speaker 1: not in this article, he brings it up in some 373 00:21:56,080 --> 00:21:59,800 Speaker 1: of his books, but brings it up in some video 374 00:22:00,119 --> 00:22:02,240 Speaker 1: view footage that was there to the World Science Festival 375 00:22:02,359 --> 00:22:05,919 Speaker 1: several years back. But you have bean plants that are 376 00:22:05,960 --> 00:22:09,639 Speaker 1: competing for a single pole on which to grow. And 377 00:22:10,080 --> 00:22:12,080 Speaker 1: when you when you speed up that footage and you 378 00:22:12,119 --> 00:22:14,880 Speaker 1: watch the time laps of it, you can see them competing. 379 00:22:14,920 --> 00:22:16,840 Speaker 1: You can see them both going after the same pole. 380 00:22:17,160 --> 00:22:20,439 Speaker 1: You can see one claiming the pole, and then the 381 00:22:20,520 --> 00:22:24,560 Speaker 1: other retreating, giving up the fight, saying all right, fair enough, 382 00:22:24,560 --> 00:22:26,920 Speaker 1: you've got it. And so this, you know, this sort 383 00:22:26,920 --> 00:22:31,280 Speaker 1: of reaction to competition, h you know, rather than inanimate 384 00:22:31,320 --> 00:22:34,320 Speaker 1: objects is key to many of these studies like this 385 00:22:34,400 --> 00:22:36,600 Speaker 1: seems to be an area where plants are even more 386 00:22:36,680 --> 00:22:41,120 Speaker 1: likely to have this sort of rapid response. Yes, though, 387 00:22:41,119 --> 00:22:45,000 Speaker 1: of course this invites I think highly relevant and interesting 388 00:22:45,080 --> 00:22:48,680 Speaker 1: questions about what intelligence actually is. Intelligence is a concept 389 00:22:48,760 --> 00:22:54,240 Speaker 1: that is notoriously difficult to define, because I mean, just 390 00:22:54,240 --> 00:22:56,800 Speaker 1: think about it for a second, how would you define intelligence. 391 00:22:57,640 --> 00:23:01,640 Speaker 1: It's clear like there are some things it seem very 392 00:23:01,640 --> 00:23:04,600 Speaker 1: clearly suggested by the concept. And one of them, I 393 00:23:04,640 --> 00:23:09,160 Speaker 1: think is interesting has to do with speed. Intelligence clearly 394 00:23:09,200 --> 00:23:12,840 Speaker 1: has something to do with the rate of things, because 395 00:23:13,280 --> 00:23:17,199 Speaker 1: like a you know, an animal that solves ama is quickly, 396 00:23:17,280 --> 00:23:19,240 Speaker 1: we look at that behavior and we say, yeah, that's 397 00:23:19,240 --> 00:23:23,320 Speaker 1: indicative of intelligence. But a slime mold that solves amas slowly, 398 00:23:23,400 --> 00:23:25,080 Speaker 1: we look at that and say, yeah, that that doesn't 399 00:23:25,119 --> 00:23:28,160 Speaker 1: so much look like intelligence. So our intuitions have something 400 00:23:28,200 --> 00:23:29,879 Speaker 1: to do with speed. But I would also say another 401 00:23:29,880 --> 00:23:34,200 Speaker 1: part is I think we tend to assume that intelligence 402 00:23:34,400 --> 00:23:39,719 Speaker 1: involves the selection of behaviors or acquisition of goals in 403 00:23:39,800 --> 00:23:44,400 Speaker 1: ways that are not strictly instinctually programmed, but are somehow 404 00:23:44,480 --> 00:23:51,000 Speaker 1: adaptive to individual situations. Though then again, that's often difficult 405 00:23:51,080 --> 00:23:53,800 Speaker 1: to detect, Like when you see time lapse footage of 406 00:23:53,840 --> 00:23:58,159 Speaker 1: a beanstock competing for a pole and then reacting to 407 00:23:58,400 --> 00:24:02,040 Speaker 1: the pole already being claimed. Don't is that a purely 408 00:24:02,119 --> 00:24:05,640 Speaker 1: genetically programmed instinctual reaction or should you think of that 409 00:24:05,680 --> 00:24:10,200 Speaker 1: as in some way individually adaptive or reactive to the 410 00:24:10,280 --> 00:24:16,040 Speaker 1: specific situation? Yeah? Absolutely, I mean some ut regarding intelligence 411 00:24:16,040 --> 00:24:18,119 Speaker 1: and certainly cognition. You know, it comes back to the 412 00:24:18,160 --> 00:24:20,600 Speaker 1: old idea that's just so hard to put aside the 413 00:24:20,680 --> 00:24:24,240 Speaker 1: human perception of the thing. It's so hard to uh 414 00:24:24,440 --> 00:24:27,959 Speaker 1: to even think about say intelligence in our household pets 415 00:24:28,320 --> 00:24:32,160 Speaker 1: without comparing it to ourselves. Yeah, it's it's it's tricky now, 416 00:24:32,359 --> 00:24:34,720 Speaker 1: this this you know, coming back to the idea of 417 00:24:34,720 --> 00:24:39,560 Speaker 1: of neurobiology plant neurobiology. Those opposed to this notion um 418 00:24:39,840 --> 00:24:42,480 Speaker 1: have frequently stated, well, okay, plants just simply do not 419 00:24:42,600 --> 00:24:47,040 Speaker 1: have neurons, synapses, or a brain. Those pollen points out. 420 00:24:47,119 --> 00:24:49,920 Speaker 1: Legitimate scientists in this field are not making that claim 421 00:24:49,960 --> 00:24:53,080 Speaker 1: they're only suggesting that there might be something analogous to 422 00:24:53,760 --> 00:24:58,879 Speaker 1: a brain, to to neurons, etc Um. So Pollen speaks 423 00:24:58,880 --> 00:25:02,679 Speaker 1: with plant biologists Lincoln Tays who opposes the idea of 424 00:25:02,680 --> 00:25:06,879 Speaker 1: plant neurobiology as a sort of animism which takes the 425 00:25:07,080 --> 00:25:11,080 Speaker 1: realities of both short and long term electrical signaling and 426 00:25:11,240 --> 00:25:15,399 Speaker 1: neurotransmitter like chemicals and plants, and then the argument is 427 00:25:15,640 --> 00:25:23,000 Speaker 1: over interprets these realities, ultimately leading to quote anthropomorphizing, philosophizing, 428 00:25:23,160 --> 00:25:27,160 Speaker 1: and wild speculations. Yeah, and I suppose I can see 429 00:25:27,240 --> 00:25:30,800 Speaker 1: like the valid point to be made between these two sides, right, 430 00:25:30,880 --> 00:25:32,960 Speaker 1: I mean, for instance, we often talk about evolution on 431 00:25:33,000 --> 00:25:35,720 Speaker 1: the show, and it's very easy to fall into the 432 00:25:35,720 --> 00:25:39,960 Speaker 1: trap of anthropomorphizing evolution, discussing it as if it has 433 00:25:40,000 --> 00:25:42,080 Speaker 1: a will. You know, this is the sort of thing 434 00:25:42,080 --> 00:25:44,680 Speaker 1: that can make it easier to comprehend what we're talking about. 435 00:25:44,680 --> 00:25:47,840 Speaker 1: It can make it easier to explain some of what's happening, 436 00:25:48,760 --> 00:25:51,000 Speaker 1: drive home what makes it interesting and making it make 437 00:25:51,000 --> 00:25:54,280 Speaker 1: it exciting, But you can also do injustice to the 438 00:25:54,560 --> 00:25:58,960 Speaker 1: appreciation of what it actually is, either subtly or overtly. Yeah, exactly, 439 00:25:59,160 --> 00:26:03,240 Speaker 1: And likewise seems to me that, Yeah, comparing plants to animals, 440 00:26:03,640 --> 00:26:06,000 Speaker 1: it can help explain, it can help excite, It can 441 00:26:06,000 --> 00:26:10,280 Speaker 1: force us to reconsider outdated notions and limitations about what 442 00:26:10,359 --> 00:26:13,399 Speaker 1: plants are and what they're capable of. But you can 443 00:26:13,440 --> 00:26:15,919 Speaker 1: also potentially get into those murky waters. So I'm not 444 00:26:15,960 --> 00:26:18,960 Speaker 1: saying I think either side is totally in the right here, 445 00:26:19,400 --> 00:26:22,120 Speaker 1: but I can see why there is an issue. Yeah, 446 00:26:22,240 --> 00:26:24,119 Speaker 1: but pollen drives something that. Yeah, there are some very 447 00:26:24,160 --> 00:26:27,280 Speaker 1: strong feelings among plant biologists about all of this, which 448 00:26:27,280 --> 00:26:30,240 Speaker 1: actually results in at least a little more heat in 449 00:26:30,320 --> 00:26:34,880 Speaker 1: name calling than usually encounter in the sciences. But perhaps 450 00:26:34,880 --> 00:26:38,639 Speaker 1: it's not all bad. Pollen writes quote. The controversy is 451 00:26:38,720 --> 00:26:42,239 Speaker 1: less about the remarkable discoveries of recent plant science than 452 00:26:42,320 --> 00:26:46,000 Speaker 1: about how to interpret and name them. Whether behaviors observed 453 00:26:46,000 --> 00:26:49,520 Speaker 1: in plants which look very much like learning, memory, decision making, 454 00:26:49,520 --> 00:26:53,399 Speaker 1: and intelligence deserve to be called by those terms, or 455 00:26:53,400 --> 00:26:58,920 Speaker 1: whether those words should be reserved exclusively for creatures with brains. Yeah, 456 00:26:58,920 --> 00:27:01,840 Speaker 1: that absolutely tracks with my experience reading about a lot 457 00:27:01,840 --> 00:27:04,560 Speaker 1: of this plant cognition stuff. That either way, you have 458 00:27:04,600 --> 00:27:08,679 Speaker 1: some very interesting experimental results, but a lot of the 459 00:27:08,840 --> 00:27:13,520 Speaker 1: conflict seems to be in arguing about what those results 460 00:27:13,640 --> 00:27:18,359 Speaker 1: mean and what is a reasonable way to characterize them. Yeah, now, 461 00:27:18,760 --> 00:27:22,480 Speaker 1: on the topic of plants and brains, you might wonder, 462 00:27:22,680 --> 00:27:24,720 Speaker 1: why don't they have a brain. Perhaps you've played a 463 00:27:24,800 --> 00:27:27,480 Speaker 1: video game before where you have to blast the vital 464 00:27:27,600 --> 00:27:29,960 Speaker 1: organs out of some sort of monster plant in order 465 00:27:30,000 --> 00:27:32,919 Speaker 1: to defeat it. Why does that not seem to be 466 00:27:32,960 --> 00:27:36,399 Speaker 1: the case. Why is the reality instead that a plant 467 00:27:36,440 --> 00:27:38,679 Speaker 1: can lose up to around ninety percent of its body 468 00:27:38,760 --> 00:27:41,639 Speaker 1: without being killed. I mean, this all comes down to 469 00:27:41,680 --> 00:27:46,359 Speaker 1: the fact that plants are are stationary. They stay in 470 00:27:46,400 --> 00:27:49,119 Speaker 1: one spot. I mean, with some you know, they are 471 00:27:49,160 --> 00:27:51,159 Speaker 1: rooted to the ground. We have some situations where yes, 472 00:27:51,240 --> 00:27:54,760 Speaker 1: plants can travel and to varying degrees, but for the 473 00:27:54,760 --> 00:27:57,320 Speaker 1: most part, where the plant takes root, the plant stays. 474 00:27:57,640 --> 00:27:59,960 Speaker 1: The plant can't run away. It's got to be ready 475 00:28:00,119 --> 00:28:03,760 Speaker 1: to sacrifice large portions of its body, and so it 476 00:28:03,800 --> 00:28:06,320 Speaker 1: simply doesn't make sense for it to evolve some sort 477 00:28:06,320 --> 00:28:12,320 Speaker 1: of a centralized, irreplaceable and insensitive organ like this. The 478 00:28:12,400 --> 00:28:19,879 Speaker 1: sessile lifestyle requires different approaches to problem solving, and it 479 00:28:19,920 --> 00:28:22,199 Speaker 1: also ends up being one of the reasons that you 480 00:28:22,240 --> 00:28:26,160 Speaker 1: have such a robust biochemical weapons. Why it has such 481 00:28:26,160 --> 00:28:30,439 Speaker 1: a such a robust biochemical arsenal and the plant the 482 00:28:30,480 --> 00:28:32,800 Speaker 1: power here, for plants are famous, you know, far more 483 00:28:32,800 --> 00:28:35,280 Speaker 1: opponent than anything you'll find in animals. And it's why 484 00:28:35,320 --> 00:28:38,280 Speaker 1: so much of human medicine is based in Okay, I 485 00:28:38,400 --> 00:28:41,400 Speaker 1: have this ailment, which plant should I eat? And how 486 00:28:41,480 --> 00:28:43,480 Speaker 1: much of that plant should I eat in order to 487 00:28:43,520 --> 00:28:45,400 Speaker 1: fight it? Yeah. Another way to put that is just 488 00:28:45,440 --> 00:28:49,680 Speaker 1: that the plant kingdom is full of internal chemicals that 489 00:28:49,720 --> 00:28:52,880 Speaker 1: have potent effects on the physiology of animals. Yeah. And 490 00:28:52,960 --> 00:28:55,520 Speaker 1: of course Pollen has written about this quite a bit, 491 00:28:55,560 --> 00:28:58,680 Speaker 1: including the book The Botany of Desire that In this 492 00:28:58,800 --> 00:29:03,320 Speaker 1: New Yorker article he summarizes the biochemical arsenal quite quite nicely. 493 00:29:03,320 --> 00:29:06,520 Speaker 1: He says, unable to run away, plants deploy a complex 494 00:29:06,560 --> 00:29:11,120 Speaker 1: molecular vocabulary to signal, distress, deter, or poison enemies, and 495 00:29:11,200 --> 00:29:16,040 Speaker 1: recruit animals to perform various services for them. So, yeah, 496 00:29:16,680 --> 00:29:19,080 Speaker 1: I think he puts it quite well there. It's almost 497 00:29:19,080 --> 00:29:21,920 Speaker 1: like sort of asking yourself, well, okay, I have a 498 00:29:22,440 --> 00:29:25,560 Speaker 1: computer system. Why doesn't the computer system have a knife. 499 00:29:26,800 --> 00:29:30,240 Speaker 1: Why does it have a club? It should? It should? Right? Well, no, 500 00:29:30,360 --> 00:29:32,560 Speaker 1: it has these other things, and it has them to 501 00:29:33,440 --> 00:29:36,600 Speaker 1: you know, all these other defenses are in place because 502 00:29:36,640 --> 00:29:39,760 Speaker 1: it's it's fighting a different type of battle on a 503 00:29:40,120 --> 00:29:42,920 Speaker 1: different scale. So again, yeah, it's so much of the 504 00:29:43,320 --> 00:29:45,160 Speaker 1: of what makes the plant different. You know. We can 505 00:29:45,160 --> 00:29:48,640 Speaker 1: look at the time scale certainly as a huge factor, 506 00:29:48,760 --> 00:29:52,000 Speaker 1: but also the fact that it is a sessile organism. Yeah, 507 00:29:52,040 --> 00:29:54,760 Speaker 1: and so if a plant does indeed contains something that 508 00:29:54,920 --> 00:29:58,040 Speaker 1: is it could legitimately be considered intelligence. It would need 509 00:29:58,040 --> 00:30:01,200 Speaker 1: a different kind of substrate to conta that intelligence then 510 00:30:01,560 --> 00:30:07,040 Speaker 1: the human brain, which is a centralized command center, you know, 511 00:30:07,120 --> 00:30:09,920 Speaker 1: because again, like you said, the plant might get ninety 512 00:30:09,920 --> 00:30:11,840 Speaker 1: percent of it might get eaten, and then it needs 513 00:30:11,880 --> 00:30:14,320 Speaker 1: to be able to grow back. So if you allow 514 00:30:14,360 --> 00:30:16,920 Speaker 1: for the concept of plant intelligence, it would probably need 515 00:30:16,960 --> 00:30:22,040 Speaker 1: to somehow be more modular or distributed rather than housed 516 00:30:22,080 --> 00:30:24,760 Speaker 1: in a command center like the human brain. And so 517 00:30:25,040 --> 00:30:28,760 Speaker 1: what would some of these these physical substrates or systems 518 00:30:28,800 --> 00:30:32,840 Speaker 1: be I think that is largely unknown, though there are 519 00:30:32,840 --> 00:30:35,920 Speaker 1: some interesting ideas. Like in the previous episode, one of 520 00:30:35,960 --> 00:30:38,200 Speaker 1: the papers we looked at, the one that looked at 521 00:30:38,240 --> 00:30:42,560 Speaker 1: habituation in Mimosa pudica, it hypothesized one of the possible 522 00:30:42,680 --> 00:30:46,560 Speaker 1: substrates of plant memory formation could be what are called 523 00:30:46,600 --> 00:30:51,600 Speaker 1: calcium ion channels within the plant's tissues, which can form 524 00:30:51,640 --> 00:30:57,000 Speaker 1: these kind of sensory chains throughout the plant's body. But 525 00:30:57,440 --> 00:31:00,280 Speaker 1: it's it's still unknown. But but but I guess we 526 00:31:00,320 --> 00:31:02,360 Speaker 1: should look at least one more study. Look, it's more 527 00:31:02,600 --> 00:31:06,520 Speaker 1: lab research. So in the previous study, we looked at 528 00:31:06,520 --> 00:31:09,560 Speaker 1: the one from twenty fourteen. In the last episode, it 529 00:31:10,040 --> 00:31:14,360 Speaker 1: found apparent demonstration of a very rudimentary form of learning 530 00:31:14,400 --> 00:31:18,040 Speaker 1: known as habituation in these sensitive plants that could close 531 00:31:18,120 --> 00:31:22,640 Speaker 1: their leaves. And habituation could be defined as the diminishment 532 00:31:23,080 --> 00:31:27,240 Speaker 1: of a programmed reaction to a repeated stimulus. So maybe 533 00:31:27,240 --> 00:31:30,480 Speaker 1: you jump with fright when you hear a sudden clattering 534 00:31:30,600 --> 00:31:34,920 Speaker 1: sound behind you. Most people would, But if that clattering 535 00:31:35,000 --> 00:31:39,120 Speaker 1: sound is repeated every five minutes, you will eventually stop 536 00:31:39,200 --> 00:31:42,400 Speaker 1: jumping with fright. You will become accustomed to it. You 537 00:31:42,440 --> 00:31:46,080 Speaker 1: will just start ignoring it because you've become habituated. And 538 00:31:46,200 --> 00:31:50,720 Speaker 1: this doesn't require conscious effort. It just happens unconsciously naturally. 539 00:31:51,040 --> 00:31:54,280 Speaker 1: When you're exposed to the same salient stimulus over and 540 00:31:54,320 --> 00:31:57,560 Speaker 1: over again. What seems salient at first has been encountered 541 00:31:57,680 --> 00:32:00,400 Speaker 1: enough times that your body's just been trained to no 542 00:32:00,480 --> 00:32:03,560 Speaker 1: longer regard it as salient. It's just noise, it's background. 543 00:32:03,880 --> 00:32:05,600 Speaker 1: But of course there are other types of learning and 544 00:32:05,720 --> 00:32:08,360 Speaker 1: memory that could of course be considered more complex. So 545 00:32:08,400 --> 00:32:12,160 Speaker 1: could plants actually demonstrate any of these other forms of 546 00:32:12,600 --> 00:32:15,280 Speaker 1: memory as well? The next study I want to talk 547 00:32:15,320 --> 00:32:18,400 Speaker 1: about looked at whether you could find evidence of classical 548 00:32:18,440 --> 00:32:22,080 Speaker 1: conditioning in plants. Classical conditioning is one of the big 549 00:32:22,120 --> 00:32:25,080 Speaker 1: concepts in behavioral psychology. I'd say it is one of 550 00:32:25,120 --> 00:32:29,640 Speaker 1: the biggest discoveries of psychology in the last I don't 551 00:32:29,640 --> 00:32:31,960 Speaker 1: know about the last of the twentieth century. It is 552 00:32:32,000 --> 00:32:35,680 Speaker 1: a type of unconscious learning, usually observed in animals, in 553 00:32:35,720 --> 00:32:40,400 Speaker 1: which you repeatedly pair a salient stimulus with a neutral stimulus, 554 00:32:40,880 --> 00:32:44,840 Speaker 1: and over time the animal will eventually respond to the 555 00:32:44,880 --> 00:32:49,720 Speaker 1: previously neutral stimulus the way they respond to the salient one. So, 556 00:32:49,800 --> 00:32:52,560 Speaker 1: if you concrete examples, the original one is the story 557 00:32:52,680 --> 00:32:56,160 Speaker 1: of Pavlov's dogs. This goes back to the Russian physiologist 558 00:32:56,280 --> 00:33:00,240 Speaker 1: von Pavlov, who lived eighteen forty nine to nineteen thirty six. 559 00:33:00,720 --> 00:33:04,240 Speaker 1: He was studying digestion in dogs, and he started to 560 00:33:04,280 --> 00:33:07,960 Speaker 1: notice that the dogs in his lab would drool not 561 00:33:08,000 --> 00:33:10,479 Speaker 1: only when their food was in sight, but when they 562 00:33:10,520 --> 00:33:14,120 Speaker 1: saw the specific lab assistant who always fed them. So 563 00:33:14,160 --> 00:33:16,480 Speaker 1: the production of saliva and the presence of food is 564 00:33:16,480 --> 00:33:20,240 Speaker 1: a natural, unconditioned response, that's just something that makes sense 565 00:33:20,240 --> 00:33:22,840 Speaker 1: for the body to do. The saliva will be useful 566 00:33:22,880 --> 00:33:26,080 Speaker 1: once you start eating, but the dogs come to associate 567 00:33:26,160 --> 00:33:30,320 Speaker 1: the assistant with food, so their glands start jacking up 568 00:33:30,360 --> 00:33:33,560 Speaker 1: the saliva when they see and smell that specific person 569 00:33:33,600 --> 00:33:36,480 Speaker 1: who feeds them, even though the person themselves is not 570 00:33:36,560 --> 00:33:39,880 Speaker 1: actually food, And it of course can be any stimulus. 571 00:33:40,280 --> 00:33:43,040 Speaker 1: The classic example is a sound such as a bell 572 00:33:43,240 --> 00:33:45,680 Speaker 1: or a metronome. So if I give you a painful 573 00:33:45,720 --> 00:33:48,960 Speaker 1: electric shock every time I start playing we Built this 574 00:33:49,000 --> 00:33:52,320 Speaker 1: City by Starship, you will start to have a reaction 575 00:33:52,440 --> 00:33:55,240 Speaker 1: to the song without the shock. Even if there's no shock, 576 00:33:55,560 --> 00:34:06,520 Speaker 1: you hear that first line and you'll probably freeze or WinCE. Anyway, 577 00:34:06,640 --> 00:34:09,359 Speaker 1: given that there is some preliminary evidence that at least 578 00:34:09,360 --> 00:34:13,520 Speaker 1: some plant species can exhibit habituation, would it be possible 579 00:34:13,600 --> 00:34:16,480 Speaker 1: to show this other kind of memory based learning in plants. 580 00:34:16,600 --> 00:34:20,760 Speaker 1: Can plants be classically conditioned? To associate a neutral queue 581 00:34:20,880 --> 00:34:24,480 Speaker 1: with a biologically salient queue. So the study I want 582 00:34:24,480 --> 00:34:27,840 Speaker 1: to mention was published in Nature Scientific Reports in twenty 583 00:34:27,880 --> 00:34:36,840 Speaker 1: sixteen by Monica Gagliano, Vladislav Vasovski, Alexander Borbelli, Mavra Grimonprez 584 00:34:37,200 --> 00:34:42,200 Speaker 1: and Martial Deptchinsky. And it's called learning by association in plants. 585 00:34:43,160 --> 00:34:47,960 Speaker 1: So the authors justify their investigation by explaining that they 586 00:34:48,000 --> 00:34:51,280 Speaker 1: think there would in fact be evolutionary pressure on plants 587 00:34:51,280 --> 00:34:53,760 Speaker 1: to show associate of learning. So, much like the question 588 00:34:53,800 --> 00:34:57,600 Speaker 1: we asked earlier about sounds and stuff in plants, it's 589 00:34:57,600 --> 00:35:01,600 Speaker 1: worth thinking is there actually an ecologically relevant reason for 590 00:35:01,640 --> 00:35:04,879 Speaker 1: the creature you're studying to have the ability you're looking for? 591 00:35:05,719 --> 00:35:09,960 Speaker 1: And so they write quote. Incomplex and ever changing environments, 592 00:35:10,040 --> 00:35:13,799 Speaker 1: resources such as food are often scarce and unevenly distributed 593 00:35:13,840 --> 00:35:17,840 Speaker 1: in space and time. Therefore, utilizing external cues to locate 594 00:35:17,840 --> 00:35:22,040 Speaker 1: and remember high quality sources allows more efficient foraging, thus 595 00:35:22,080 --> 00:35:27,080 Speaker 1: increasing chances for survival. Associations between environmental cues and food 596 00:35:27,400 --> 00:35:30,640 Speaker 1: are readily formed because of the tangible benefits they confer, 597 00:35:31,120 --> 00:35:33,480 Speaker 1: while examples of the key role they play in shaping 598 00:35:33,480 --> 00:35:37,520 Speaker 1: foraging behaviors are widespread in the animal world. The possibility 599 00:35:37,560 --> 00:35:40,920 Speaker 1: that plants are also able to acquire learned associations to 600 00:35:40,960 --> 00:35:44,640 Speaker 1: guide their foraging behavior has never been demonstrated. Okay, so 601 00:35:45,120 --> 00:35:49,360 Speaker 1: the same ability to discern and make these associations would 602 00:35:49,360 --> 00:35:52,800 Speaker 1: potentially be useful for plants, we just haven't documented evidence 603 00:35:52,840 --> 00:35:55,400 Speaker 1: of it yet. And this study explored the question with 604 00:35:55,480 --> 00:35:57,200 Speaker 1: the use of a different plant than the other one. 605 00:35:57,239 --> 00:35:59,640 Speaker 1: We're not talking about Mimosa pudica anymore. In this case, 606 00:35:59,760 --> 00:36:03,040 Speaker 1: they looked at seedlings of the garden p plant or 607 00:36:03,200 --> 00:36:08,280 Speaker 1: Pisum sativum. Now it's worth clarifying that the plant behavior 608 00:36:08,360 --> 00:36:12,160 Speaker 1: studied in this experiment occurs on a different timescale than 609 00:36:12,200 --> 00:36:14,279 Speaker 1: the ones we talked about in the previous episode. In 610 00:36:14,320 --> 00:36:19,520 Speaker 1: the last episode, there were examples of the few plants 611 00:36:19,520 --> 00:36:22,080 Speaker 1: with the ability to move rapidly, such as the venus 612 00:36:22,080 --> 00:36:26,200 Speaker 1: flytrap or Mimosa putica, and these rapid movements were examples 613 00:36:26,239 --> 00:36:30,759 Speaker 1: of what are called nastic reflexes, reflexes that are independent 614 00:36:30,840 --> 00:36:33,560 Speaker 1: of the direction of the stimulus and they're just guided 615 00:36:33,560 --> 00:36:38,480 Speaker 1: by the plant's body form. Nastic movements were contrasted with 616 00:36:38,520 --> 00:36:42,280 Speaker 1: what are called tropisms, which tend to be slower movements, 617 00:36:42,320 --> 00:36:45,759 Speaker 1: but are stimulus directed. And the most common plant tropism 618 00:36:46,120 --> 00:36:48,759 Speaker 1: you will have observed pretty much everybody's seen this is 619 00:36:48,880 --> 00:36:52,959 Speaker 1: phototropism growing towards a light source, which totally makes sense 620 00:36:52,960 --> 00:36:57,200 Speaker 1: for a plant because light provides the energy that powers photosynthesis. 621 00:36:57,239 --> 00:36:59,640 Speaker 1: So you can roughly think of a plant growing toward 622 00:36:59,760 --> 00:37:02,960 Speaker 1: light much like an animal moving toward a source of food. 623 00:37:03,360 --> 00:37:05,840 Speaker 1: And that's what this twenty sixteen experiment was studying, not 624 00:37:06,040 --> 00:37:09,840 Speaker 1: nastic reflexes, but tropisms growth in the direction of a 625 00:37:09,880 --> 00:37:14,400 Speaker 1: biologically salient stimulus, in this case light. So the first 626 00:37:14,440 --> 00:37:18,080 Speaker 1: experimental setup looked like this the author's right quote. In 627 00:37:18,120 --> 00:37:21,799 Speaker 1: the first experiment, p seedlings, forty five of them were 628 00:37:22,000 --> 00:37:25,400 Speaker 1: entrained to an eight hour light sixteen hour dark cycle 629 00:37:25,480 --> 00:37:29,239 Speaker 1: for five to eight days. In the subsequent three day 630 00:37:29,280 --> 00:37:32,320 Speaker 1: training period, they were kept in darkness with the exception 631 00:37:32,360 --> 00:37:36,280 Speaker 1: of one hour light exposures during the three daily training sessions. 632 00:37:37,200 --> 00:37:40,080 Speaker 1: And during this training period the seedlings, they would place 633 00:37:40,120 --> 00:37:42,719 Speaker 1: them in what's known as a y maze. So to 634 00:37:42,760 --> 00:37:45,799 Speaker 1: picture this, you think of a Y shaped pipe. The 635 00:37:45,880 --> 00:37:48,760 Speaker 1: seedling is down at the bottom in the single channel 636 00:37:48,800 --> 00:37:51,040 Speaker 1: part of the tube, and then above it the tube 637 00:37:51,080 --> 00:37:54,000 Speaker 1: forks off into two arms, and then there are two 638 00:37:54,000 --> 00:37:57,960 Speaker 1: different training conditions, one in which the seedlings are exposed 639 00:37:58,360 --> 00:38:01,359 Speaker 1: to a light source from one of the tube with 640 00:38:01,400 --> 00:38:05,120 Speaker 1: a fan blowing on them from the same arm, and 641 00:38:05,160 --> 00:38:08,200 Speaker 1: then there's another test condition in which they are exposed 642 00:38:08,239 --> 00:38:10,479 Speaker 1: to a light source from one arm and a fan 643 00:38:10,560 --> 00:38:12,839 Speaker 1: blowing on them from the opposite arm. So we have 644 00:38:12,920 --> 00:38:16,399 Speaker 1: the light associated with a fan or a light associated 645 00:38:16,440 --> 00:38:20,480 Speaker 1: with being opposite the fan. So if the plants are 646 00:38:20,600 --> 00:38:25,160 Speaker 1: capable of classically conditioned associations, one group should learn that 647 00:38:25,200 --> 00:38:28,640 Speaker 1: the airflow from a fan is positively correlated with food, 648 00:38:28,719 --> 00:38:32,120 Speaker 1: so it should start to associate a fan with food, 649 00:38:32,560 --> 00:38:34,759 Speaker 1: and then the other will learn that the airflow is 650 00:38:34,800 --> 00:38:38,440 Speaker 1: negatively correlated with food, and it should associate going in 651 00:38:38,440 --> 00:38:41,200 Speaker 1: the opposite direction of the fan with food. And to 652 00:38:41,280 --> 00:38:44,120 Speaker 1: make the direction of the incoming light unpredictable, its direction 653 00:38:44,200 --> 00:38:47,040 Speaker 1: was repeatedly switched around during the training period, though its 654 00:38:47,080 --> 00:38:50,239 Speaker 1: association or lack of association with the fan was kept 655 00:38:50,239 --> 00:38:53,840 Speaker 1: consistent with each plan. And after this training period, the 656 00:38:53,840 --> 00:38:56,880 Speaker 1: plants were further subdivided to put some in test groups 657 00:38:56,880 --> 00:38:59,080 Speaker 1: in the other in the control group, and the two 658 00:38:59,120 --> 00:39:02,319 Speaker 1: test groups would be exposed to a fan from one 659 00:39:02,360 --> 00:39:06,359 Speaker 1: direction or the other without the light source along with 660 00:39:06,400 --> 00:39:09,520 Speaker 1: it the author's right quote. In this group, to control 661 00:39:09,600 --> 00:39:13,239 Speaker 1: for the influence of innate phototropic response, the fan was 662 00:39:13,280 --> 00:39:17,080 Speaker 1: placed in the arm opposite to last light exposure in 663 00:39:17,120 --> 00:39:20,160 Speaker 1: the fan plus light group and on the arm of 664 00:39:20,200 --> 00:39:23,560 Speaker 1: the last light exposure in the fan versus light group, 665 00:39:23,880 --> 00:39:25,719 Speaker 1: So that was the second is when they were on 666 00:39:25,760 --> 00:39:28,960 Speaker 1: opposite sides of the y maze quote. The seedlings of 667 00:39:28,960 --> 00:39:32,200 Speaker 1: the control group were left undisturbed. On the morning after 668 00:39:32,239 --> 00:39:35,360 Speaker 1: the testing day, we visually inspected the seedlings and recorded 669 00:39:35,360 --> 00:39:37,960 Speaker 1: the arm of the maze they had grown into. So 670 00:39:38,040 --> 00:39:40,799 Speaker 1: what did they find. Well, in the control group, this 671 00:39:40,880 --> 00:39:43,040 Speaker 1: is the group that got no fan exposure in the 672 00:39:43,040 --> 00:39:45,680 Speaker 1: test phase, so no fan, one hundred percent of the 673 00:39:45,680 --> 00:39:49,080 Speaker 1: plants grew in the direction of the most recent light exposure, 674 00:39:49,120 --> 00:39:51,560 Speaker 1: wherever the light came from last that's where they went. 675 00:39:52,160 --> 00:39:54,560 Speaker 1: But in the test groups, the authors report that the 676 00:39:54,640 --> 00:39:59,080 Speaker 1: majority of seedlings did indeed show a conditioned response. So 677 00:39:59,160 --> 00:40:01,359 Speaker 1: in the group that it been trained with the fan 678 00:40:01,440 --> 00:40:04,080 Speaker 1: and the light on the same side, sixty two percent 679 00:40:04,120 --> 00:40:07,200 Speaker 1: of them grew toward the fan without the light, And 680 00:40:07,280 --> 00:40:09,040 Speaker 1: in the group that had been trained with the fan 681 00:40:09,120 --> 00:40:12,160 Speaker 1: and the light on opposite sides, sixty nine percent grew 682 00:40:12,200 --> 00:40:16,000 Speaker 1: away from the fan. So if this holds up, it 683 00:40:16,280 --> 00:40:19,640 Speaker 1: would appear to show associate of learning in plants, a 684 00:40:19,719 --> 00:40:23,040 Speaker 1: type of learning that in the majority of cases prevails 685 00:40:23,080 --> 00:40:26,600 Speaker 1: over the basic reflexive tropism to grow in the direction 686 00:40:26,680 --> 00:40:30,040 Speaker 1: of wherever the light came from last. But of course 687 00:40:30,040 --> 00:40:32,759 Speaker 1: it's a good question does this study actually hold up? 688 00:40:33,040 --> 00:40:35,160 Speaker 1: Will come and come back to that in a minute. Here. 689 00:40:35,880 --> 00:40:37,719 Speaker 1: One more thing I wanted to mention, though, is that 690 00:40:38,680 --> 00:40:41,360 Speaker 1: there were also subsequent experiments in the same study, and 691 00:40:41,440 --> 00:40:44,839 Speaker 1: the authors found that the associat of learning only succeeded 692 00:40:44,880 --> 00:40:48,000 Speaker 1: when it took place during the quote daytime from the 693 00:40:48,040 --> 00:40:52,480 Speaker 1: plant's perspective given its training regimen, which the authors suggest 694 00:40:52,600 --> 00:40:57,080 Speaker 1: means that there are metabolic demands on the learning process. Quote. 695 00:40:57,120 --> 00:40:59,920 Speaker 1: This experiment, in which plants were trained at three different 696 00:41:00,160 --> 00:41:03,160 Speaker 1: time periods within twenty four hours, revealed that the learning 697 00:41:03,160 --> 00:41:07,560 Speaker 1: effect disappears when training occurred during the evening hours, when 698 00:41:07,640 --> 00:41:11,520 Speaker 1: light would not normally be available. This finding is particularly 699 00:41:11,520 --> 00:41:14,759 Speaker 1: intriguing and bolsters the argument that associative learning is an 700 00:41:14,800 --> 00:41:18,960 Speaker 1: adaptive response that is only utilized during daylight hours when 701 00:41:18,960 --> 00:41:23,279 Speaker 1: it is most useful vin internal circadian clock, which is 702 00:41:23,280 --> 00:41:26,640 Speaker 1: interesting because that also invokes a sort of second order 703 00:41:26,680 --> 00:41:28,799 Speaker 1: type of thing that some people would have called a 704 00:41:28,840 --> 00:41:32,320 Speaker 1: type of plant intelligence, which is its ability to measure 705 00:41:32,360 --> 00:41:35,360 Speaker 1: spans of time. Anyway, in the end, the authors of 706 00:41:35,400 --> 00:41:38,160 Speaker 1: this study, they say, quote, our results show that associative 707 00:41:38,239 --> 00:41:42,040 Speaker 1: learning is an essential component of plant behavior. We conclude 708 00:41:42,080 --> 00:41:46,680 Speaker 1: the associative learning represents a universal adaptive mechanism shared by 709 00:41:46,680 --> 00:41:51,240 Speaker 1: both plants, animals and plants. Now, this was in twenty sixteen, 710 00:41:51,920 --> 00:41:54,200 Speaker 1: and I did find a study following up on this 711 00:41:54,320 --> 00:41:59,719 Speaker 1: and attempting a replication and failing. So the attempted replication 712 00:42:00,320 --> 00:42:04,520 Speaker 1: was by Casey Marcole published in ELFE called lack of 713 00:42:04,560 --> 00:42:07,160 Speaker 1: Evidence for associate of Learning in p Plants. The year 714 00:42:07,280 --> 00:42:11,040 Speaker 1: was twenty twenty. Pretty straightforward. The author tried to repeat 715 00:42:11,080 --> 00:42:14,880 Speaker 1: the twenty sixteen experiment. They repeated the protocol described in 716 00:42:14,920 --> 00:42:18,000 Speaker 1: the first experiment, and they write quote, However, a replication 717 00:42:18,080 --> 00:42:21,640 Speaker 1: of the protocol failed to demonstrate the same result, calling 718 00:42:21,640 --> 00:42:25,920 Speaker 1: for further verification and study before mainstream acceptance of this 719 00:42:26,000 --> 00:42:30,360 Speaker 1: paradigm shifting phenomenon. This replication attempt used a larger sample 720 00:42:30,400 --> 00:42:34,920 Speaker 1: size and fully blinded analysis, and of course both of 721 00:42:34,920 --> 00:42:37,400 Speaker 1: those things are always good. Larger samples are good, blinded 722 00:42:37,440 --> 00:42:40,600 Speaker 1: analysis is always good. I wasn't one hundred percent sure 723 00:42:40,680 --> 00:42:42,560 Speaker 1: exactly what that meant in this case, but I think 724 00:42:42,560 --> 00:42:45,720 Speaker 1: it would mean that whoever compiled and analyzed the results 725 00:42:45,719 --> 00:42:48,800 Speaker 1: of the experiment had no way of knowing which groups 726 00:42:48,840 --> 00:42:52,799 Speaker 1: the subjects were in, which would help prevent any possible contamination, 727 00:42:52,920 --> 00:42:57,880 Speaker 1: intentional or unintentional by experiment or bias. So we're in 728 00:42:57,960 --> 00:43:00,640 Speaker 1: the middle ground here. One study gets a positive result, 729 00:43:00,680 --> 00:43:03,000 Speaker 1: a follow up attempt does not, So how do we 730 00:43:03,040 --> 00:43:05,640 Speaker 1: sort it out? Well? Actually, the authors of the original 731 00:43:05,640 --> 00:43:08,880 Speaker 1: study replied, publishing a follow up comment in the same journal. 732 00:43:09,920 --> 00:43:12,880 Speaker 1: They essentially to summarize their argument. They essentially say that 733 00:43:12,920 --> 00:43:16,040 Speaker 1: the experiment may not have worked in the replication attempt 734 00:43:16,640 --> 00:43:20,960 Speaker 1: because of some crucial differences in methodology, mainly that the 735 00:43:21,080 --> 00:43:25,719 Speaker 1: unconditioned stimulus in this case light was not tightly controlled enough, 736 00:43:25,800 --> 00:43:29,839 Speaker 1: and that they criticize some things about the plants had 737 00:43:29,880 --> 00:43:32,960 Speaker 1: been mounted inside their growth case, and the idea that 738 00:43:33,120 --> 00:43:36,400 Speaker 1: light from one tube may have been penetrating into other tubes, 739 00:43:36,680 --> 00:43:39,319 Speaker 1: making a kind of light noisy environment. That there were 740 00:43:39,320 --> 00:43:42,960 Speaker 1: too many light sources and this would introduce randomness into 741 00:43:43,000 --> 00:43:45,279 Speaker 1: the results. So to put it in terms of the 742 00:43:45,320 --> 00:43:48,759 Speaker 1: Pavlov's dog example, this might be a kind of rough comparison, 743 00:43:48,800 --> 00:43:52,760 Speaker 1: But the unconditioned stimulus in Pavlov's dogs would be food. 744 00:43:53,280 --> 00:43:56,080 Speaker 1: So if you were to have a poor control of 745 00:43:56,120 --> 00:43:58,200 Speaker 1: the unconditioned stimulus in that case, it would be kind 746 00:43:58,200 --> 00:44:02,040 Speaker 1: of like imagining that the dogs had constant ambient access 747 00:44:02,080 --> 00:44:05,000 Speaker 1: to food. They were just food bowls constantly full throughout 748 00:44:05,040 --> 00:44:08,640 Speaker 1: the room they're in. In that case, would they salivate 749 00:44:08,680 --> 00:44:10,960 Speaker 1: when they saw an assistant coming in to put some 750 00:44:11,000 --> 00:44:13,760 Speaker 1: more food in one of the bowls, Well, if they've 751 00:44:13,800 --> 00:44:16,600 Speaker 1: just always got food anyway, probably not right. I don't know. 752 00:44:16,640 --> 00:44:18,840 Speaker 1: I don't know enough about dogs. Sometimes I feel like 753 00:44:18,880 --> 00:44:20,879 Speaker 1: sometimes my cat can be kind of like that, where 754 00:44:20,920 --> 00:44:23,200 Speaker 1: it's like, really that you have food, and here's more food. 755 00:44:23,239 --> 00:44:25,400 Speaker 1: Now you're excited for this. How about the food you 756 00:44:25,400 --> 00:44:27,719 Speaker 1: already have? I trust the research or something. Right, Well, 757 00:44:27,719 --> 00:44:30,200 Speaker 1: if they've just got food anytime they want it, right, 758 00:44:30,239 --> 00:44:33,960 Speaker 1: then they wouldn't associate the assistant coming in to fill 759 00:44:34,000 --> 00:44:36,960 Speaker 1: the food bowls with them getting the food. It would 760 00:44:37,000 --> 00:44:39,280 Speaker 1: just you know, they would just get the food whenever 761 00:44:39,280 --> 00:44:42,239 Speaker 1: they want. True. True. So that's what the authors of 762 00:44:42,280 --> 00:44:44,600 Speaker 1: the original study argued. But then there was a response 763 00:44:44,640 --> 00:44:47,400 Speaker 1: to the response in the same journal again where Markel 764 00:44:47,520 --> 00:44:50,360 Speaker 1: came back and argued, for a number of technical reasons 765 00:44:50,400 --> 00:44:53,520 Speaker 1: that the differences they highlighted are unlikely to explain the 766 00:44:53,520 --> 00:44:57,680 Speaker 1: different outcomes. Quote. Despite considerable effort to match the experimental 767 00:44:57,760 --> 00:45:01,000 Speaker 1: details of the twenty sixteen experiment, the application attempt did 768 00:45:01,000 --> 00:45:03,600 Speaker 1: not find evidence for associate of learning in PEP plants. 769 00:45:03,840 --> 00:45:06,080 Speaker 1: Of course, this does not rule out the existence of 770 00:45:06,120 --> 00:45:09,440 Speaker 1: such learning, and I sincerely hope that future research demonstrates 771 00:45:09,480 --> 00:45:13,120 Speaker 1: the phenomenon to be reproducible. So I feel like we're 772 00:45:13,200 --> 00:45:15,359 Speaker 1: kind of in a middle ground here. Personally, I don't 773 00:45:15,360 --> 00:45:18,759 Speaker 1: have the expertise or judgment to reach a conclusion on 774 00:45:19,640 --> 00:45:22,640 Speaker 1: the technical points they're arguing about in the experiment here, 775 00:45:23,040 --> 00:45:24,960 Speaker 1: So I guess I would just say I'd have to 776 00:45:24,960 --> 00:45:28,960 Speaker 1: consider the twenty sixteen results very interesting, but heavily caveated 777 00:45:29,400 --> 00:45:33,839 Speaker 1: until we see successful replication. Yeah. Now, I will say 778 00:45:33,880 --> 00:45:39,960 Speaker 1: that the lead author on this paper, Monica Gagliano, I've 779 00:45:39,960 --> 00:45:44,120 Speaker 1: seen her. She was part of a panel discussion at 780 00:45:44,120 --> 00:45:46,760 Speaker 1: the World Science Festival back in twenty nineteen, I Believe 781 00:45:46,800 --> 00:45:51,480 Speaker 1: Intelligence Without Brains. That also featured ants scientist Mark Moffatt, 782 00:45:51,640 --> 00:45:55,760 Speaker 1: whose work we've discussed in the show before. Oh yeah yeah. 783 00:45:55,760 --> 00:46:00,759 Speaker 1: Monica Gagliano's research Associate professor in Evolutionary ecology the Biological 784 00:46:01,000 --> 00:46:04,960 Speaker 1: Intelligence Lab at Southern Cross University in Australia. Her primary 785 00:46:04,960 --> 00:46:08,680 Speaker 1: areas of research or marine ecology and plant cognitive ecology. 786 00:46:09,280 --> 00:46:11,400 Speaker 1: She also has a book out which I was not 787 00:46:11,440 --> 00:46:14,080 Speaker 1: aware of until I was looking back into her work here, 788 00:46:14,120 --> 00:46:16,880 Speaker 1: but the book is thus Spoke the Plant. Yeah. She 789 00:46:16,920 --> 00:46:18,759 Speaker 1: seems to be one of the leading figures in the 790 00:46:18,840 --> 00:46:22,759 Speaker 1: plant cognition domain these days. She wrote another article in 791 00:46:22,840 --> 00:46:26,160 Speaker 1: twenty eighteen summing up some of this recent stuff in 792 00:46:26,320 --> 00:46:29,719 Speaker 1: ecologia called Plants Learn and Remember, Let's get used to it. 793 00:46:30,520 --> 00:46:32,920 Speaker 1: Actually sorry, that had three authors. She was the first 794 00:46:32,920 --> 00:46:34,920 Speaker 1: listed author. Well, I will say she did seem to 795 00:46:34,920 --> 00:46:37,799 Speaker 1: have a good sense of humor about about herself and 796 00:46:37,840 --> 00:46:41,640 Speaker 1: about her area of research when I saw her gift 797 00:46:41,640 --> 00:46:42,920 Speaker 1: that talk. And by the way, if you want to 798 00:46:43,280 --> 00:46:46,480 Speaker 1: see that talk for yourself, you can find it at 799 00:46:46,680 --> 00:46:50,000 Speaker 1: the World Science Festival's website. Just look for Intelligence Without brains. 800 00:46:50,000 --> 00:46:52,560 Speaker 1: They have the full talk up there now. I guess 801 00:46:52,600 --> 00:46:54,719 Speaker 1: we've already covered this a good bit earlier on, so 802 00:46:54,760 --> 00:46:56,800 Speaker 1: I won't get into too much detail. I did have 803 00:46:56,880 --> 00:46:59,360 Speaker 1: a few notes about some other articles I was reading, 804 00:46:59,400 --> 00:47:01,960 Speaker 1: for example, by one author you already cited who came 805 00:47:02,040 --> 00:47:07,279 Speaker 1: up in Pollen's New Yorker piece, Lincoln Tiez, who has 806 00:47:07,320 --> 00:47:11,720 Speaker 1: been a critic of so called plant cognition or plant neurobiology, 807 00:47:12,880 --> 00:47:17,120 Speaker 1: and comments by researchers from this camp, though a lot 808 00:47:17,160 --> 00:47:18,960 Speaker 1: of this seemed aimed at the kind of thing you 809 00:47:19,000 --> 00:47:25,239 Speaker 1: were talking about, where they're objecting to certain extrapolations or characterizations, 810 00:47:25,600 --> 00:47:29,160 Speaker 1: extrapolations from or characterizations of this research, rather than the 811 00:47:29,200 --> 00:47:33,640 Speaker 1: research itself, like rejecting the idea of plant consciousness and 812 00:47:33,680 --> 00:47:36,800 Speaker 1: so forth, And of course that opens its own cannon worms, 813 00:47:36,840 --> 00:47:40,920 Speaker 1: because of course, you know, there's no actual test for consciousness, 814 00:47:41,000 --> 00:47:44,560 Speaker 1: even in humans. Consciousness can only be experienced directly in 815 00:47:44,600 --> 00:47:47,960 Speaker 1: the self and then inferred to exist by analogy and 816 00:47:48,000 --> 00:47:51,759 Speaker 1: other humans, and possibly in non human animals. But they've 817 00:47:51,760 --> 00:47:55,239 Speaker 1: got a number of arguments based on the the just 818 00:47:55,760 --> 00:47:59,200 Speaker 1: physical anatomical qualities of plants that say, you know, it's 819 00:47:59,360 --> 00:48:03,960 Speaker 1: very unlikely they would have the whatever kind of computational 820 00:48:04,000 --> 00:48:07,080 Speaker 1: complexity the I don't know, calcium channels or anything like that, 821 00:48:07,160 --> 00:48:10,360 Speaker 1: and plants might possess it would be unlikely to possess 822 00:48:10,400 --> 00:48:13,160 Speaker 1: the level of complexity that we see in animal brains 823 00:48:13,160 --> 00:48:16,680 Speaker 1: and that we assume to be the necessary basis for consciousness. 824 00:48:16,960 --> 00:48:19,040 Speaker 1: But anyway, I mean, so, I think where we're left 825 00:48:19,120 --> 00:48:20,719 Speaker 1: right now, at least from my point of view, is 826 00:48:20,760 --> 00:48:23,400 Speaker 1: that we're still in the middle of a research program. 827 00:48:23,480 --> 00:48:26,200 Speaker 1: There's still like a you know, a lot of basic 828 00:48:26,320 --> 00:48:29,879 Speaker 1: research in plant cognition going on that maybe in five 829 00:48:29,960 --> 00:48:32,360 Speaker 1: or ten more years we will have a better idea 830 00:48:32,960 --> 00:48:37,200 Speaker 1: of what the direct evidence is about what plants can 831 00:48:37,280 --> 00:48:40,319 Speaker 1: actually do, and then it might we might be more 832 00:48:40,400 --> 00:48:44,279 Speaker 1: well equipped to argue about whether it actually counts as X, 833 00:48:44,440 --> 00:48:46,279 Speaker 1: y or z that we you know, words we use 834 00:48:46,320 --> 00:48:49,439 Speaker 1: to associate with the mental phenomena of humans. Yeah, yeah, 835 00:48:49,600 --> 00:48:52,160 Speaker 1: or I don't know, maybe we'll have different terminology at 836 00:48:52,239 --> 00:48:57,120 Speaker 1: that point that it's yeah, we end up in the 837 00:48:57,120 --> 00:49:01,960 Speaker 1: same situation where we're trying to divorce the study of 838 00:49:02,120 --> 00:49:07,440 Speaker 1: intelligence and content and even potentially consciousness, you know, across 839 00:49:07,640 --> 00:49:11,960 Speaker 1: multiple species and multiple organisms. Despite the fact that we 840 00:49:12,040 --> 00:49:16,040 Speaker 1: have this this this experience of these things, and this 841 00:49:16,040 --> 00:49:18,680 Speaker 1: this concept of these things that's you know, closer than 842 00:49:18,680 --> 00:49:20,640 Speaker 1: our own breath. One thing that's got me thinking about 843 00:49:20,640 --> 00:49:23,000 Speaker 1: again this is this is we're in the speculative realm. Now, 844 00:49:23,040 --> 00:49:26,200 Speaker 1: this is not what's necessarily justified by the existing evidence. 845 00:49:26,239 --> 00:49:29,280 Speaker 1: But if you were to discover, for example, that maybe 846 00:49:29,280 --> 00:49:33,040 Speaker 1: you can't justify the claim that plants can think, but 847 00:49:33,160 --> 00:49:37,000 Speaker 1: you could justify the claim that plants can learn, it 848 00:49:37,000 --> 00:49:40,600 Speaker 1: would be an important reminder to not blur all different 849 00:49:40,640 --> 00:49:44,839 Speaker 1: types of mental phenomenon together into one single substance, Like 850 00:49:44,920 --> 00:49:49,560 Speaker 1: there may be important differences between, for example, remembering and 851 00:49:49,719 --> 00:49:53,760 Speaker 1: reasoning that make one but not the other possible given 852 00:49:53,840 --> 00:49:57,520 Speaker 1: any physical substrates, say like the kinds of I don't know, 853 00:49:57,640 --> 00:50:02,080 Speaker 1: computational chemical pathway that would exist in plant stems and 854 00:50:02,200 --> 00:50:05,200 Speaker 1: roots versus in the neural tissue of a human being 855 00:50:05,320 --> 00:50:08,480 Speaker 1: or an animal. Maybe human brain tissue can do both, 856 00:50:08,719 --> 00:50:13,080 Speaker 1: but plant tissue can only do one. And this has 857 00:50:13,120 --> 00:50:17,759 Speaker 1: interesting implications for speculating about alien intelligence. If there are 858 00:50:17,760 --> 00:50:21,000 Speaker 1: other types of intelligence out there in the galaxy, we 859 00:50:21,040 --> 00:50:25,600 Speaker 1: would tend to assume those intelligences to bundle together all 860 00:50:25,640 --> 00:50:29,080 Speaker 1: the myriad functions performed by our own primate brains, but 861 00:50:29,120 --> 00:50:31,960 Speaker 1: it's important to remember those are like specifically primate brains. 862 00:50:31,960 --> 00:50:35,200 Speaker 1: We've got a very particular type of meat in our heads, 863 00:50:35,560 --> 00:50:38,319 Speaker 1: and the type of intelligence we're familiar with is what 864 00:50:38,520 --> 00:50:42,960 Speaker 1: that meat can do. So what if, like there's another 865 00:50:43,080 --> 00:50:46,879 Speaker 1: physical substrate that's unfamiliar to us and that constitutes what 866 00:50:46,920 --> 00:50:50,640 Speaker 1: we would think of as the alien brain, whatever that is, 867 00:50:50,800 --> 00:50:53,600 Speaker 1: should we be trying to think of it as capable 868 00:50:53,719 --> 00:50:57,440 Speaker 1: of some of the subdivided parts of intelligence what we 869 00:50:57,520 --> 00:51:00,520 Speaker 1: think of as intelligence, but not others. Yeah, that's a 870 00:51:00,520 --> 00:51:02,879 Speaker 1: great point. And uh, you know, I guess I would 871 00:51:02,920 --> 00:51:06,080 Speaker 1: hope that we're at least reaching towards a point where 872 00:51:06,080 --> 00:51:09,480 Speaker 1: we're going to have a more you know, complicated understanding 873 00:51:09,480 --> 00:51:13,040 Speaker 1: of what memory and learning are because we're already having 874 00:51:13,120 --> 00:51:16,920 Speaker 1: to contend not just with human and animal memory and learning, 875 00:51:16,920 --> 00:51:20,799 Speaker 1: but also machine learning and machine memory and you know, 876 00:51:20,840 --> 00:51:25,920 Speaker 1: potentially plant analogs as well, and so yeah, it just 877 00:51:26,000 --> 00:51:31,200 Speaker 1: it kind of hopefully forces to push the human experience 878 00:51:31,200 --> 00:51:34,520 Speaker 1: and the human model a little further aside and realize that, yeah, 879 00:51:34,560 --> 00:51:37,399 Speaker 1: this is this is an example of a broader thing, 880 00:51:37,520 --> 00:51:40,440 Speaker 1: and it is not the thing itself, Like I'm imagining 881 00:51:40,480 --> 00:51:44,200 Speaker 1: a sci fi concept of story about encountering aliens that maybe, 882 00:51:44,320 --> 00:51:47,680 Speaker 1: if this makes any sense, what if they could do 883 00:51:47,760 --> 00:51:51,759 Speaker 1: something that looks like intelligence because they can learn and adapt, 884 00:51:51,880 --> 00:51:56,439 Speaker 1: but they can't do what we would think of as reasoning. Yeah, 885 00:51:56,440 --> 00:51:59,520 Speaker 1: like they can learn, but they can't think. I don't know, 886 00:51:59,600 --> 00:52:02,239 Speaker 1: I'm not sure that even makes sense. But uh, I 887 00:52:02,280 --> 00:52:05,000 Speaker 1: don't know. It gets my gears cranking. All right, we 888 00:52:05,080 --> 00:52:07,360 Speaker 1: just had a brief conversation off Mike. Are we gonna 889 00:52:07,440 --> 00:52:09,239 Speaker 1: Are we gonna cap this series here? Are we going 890 00:52:09,280 --> 00:52:12,600 Speaker 1: to go more with the interesting hidden lives of plants, 891 00:52:12,640 --> 00:52:17,120 Speaker 1: plant cognition, so called plant communication, things like that. Maybe 892 00:52:17,160 --> 00:52:19,920 Speaker 1: we'll just leave it a mystery. You'll be surprised next Tuesday, 893 00:52:19,960 --> 00:52:23,560 Speaker 1: which whether we're onto something else or whether the plants continue. Yeah, 894 00:52:23,640 --> 00:52:25,560 Speaker 1: and in the meantime, you've you've got some hanging out 895 00:52:25,600 --> 00:52:28,120 Speaker 1: to do with your various house plants and plants in 896 00:52:28,160 --> 00:52:31,239 Speaker 1: the yard, maybe plants out in the wild. Um, you know, 897 00:52:31,320 --> 00:52:33,799 Speaker 1: if if they're within your house, maybe maybe play them 898 00:52:33,840 --> 00:52:37,000 Speaker 1: a little Starship, play them a little some prints and 899 00:52:37,760 --> 00:52:40,400 Speaker 1: some of the other musical examples we mentioned these episodes. 900 00:52:41,080 --> 00:52:42,880 Speaker 1: We're not saying it's going to do anything, but it 901 00:52:42,960 --> 00:52:45,680 Speaker 1: might be fun to hang out with your plan and 902 00:52:45,719 --> 00:52:47,600 Speaker 1: listen to Starship. You know, I think of it like 903 00:52:47,960 --> 00:52:51,239 Speaker 1: the the semantic contents of talking to your dog, Like 904 00:52:51,320 --> 00:52:53,680 Speaker 1: if the dog's mostly just going to be responding to 905 00:52:53,719 --> 00:52:55,640 Speaker 1: the tone of your voice. If I tell my dog 906 00:52:55,800 --> 00:52:58,319 Speaker 1: he's a he's a bad boy and a good boy voice, 907 00:52:58,360 --> 00:53:00,640 Speaker 1: he's probably gonna be super happy. But you know, I 908 00:53:00,680 --> 00:53:02,680 Speaker 1: want to say good boy anyway because that makes me 909 00:53:02,800 --> 00:53:06,080 Speaker 1: feel good. All right, Well, we're gonna go and close 910 00:53:06,120 --> 00:53:09,960 Speaker 1: it out here, but as always, you can find episodes 911 00:53:10,040 --> 00:53:12,160 Speaker 1: core episodes of Stuff to Blow Your Mind in the 912 00:53:12,160 --> 00:53:16,239 Speaker 1: Stuff to Blow Your Mind podcast feed every Thursday and Tuesday. 913 00:53:17,320 --> 00:53:19,880 Speaker 1: You will also find our short form Artifact or Monster 914 00:53:19,920 --> 00:53:23,600 Speaker 1: Fack episodes on Wednesdays, Listenermail on Mondays, and on Friday, 915 00:53:23,800 --> 00:53:25,759 Speaker 1: well we do a little Weirdout Cinema. That's when we 916 00:53:25,800 --> 00:53:28,520 Speaker 1: set aside most serious concerns and just talk about a 917 00:53:28,520 --> 00:53:30,640 Speaker 1: strange film. And then on the weekend we have a 918 00:53:30,719 --> 00:53:34,719 Speaker 1: vault episode that is a rerun from yesteryear. Huge thanks 919 00:53:34,760 --> 00:53:38,480 Speaker 1: as always to our excellent audio producer Seth Nicholas Johnson, 920 00:53:38,520 --> 00:53:40,640 Speaker 1: though he is out this week. So big thanks to 921 00:53:40,680 --> 00:53:44,279 Speaker 1: our excellent guest audio producer Paul deckand huge thanks for 922 00:53:44,360 --> 00:53:46,840 Speaker 1: stepping in this week, Paul. If you would like to 923 00:53:46,840 --> 00:53:49,400 Speaker 1: get in touch with us with feedback on this episode 924 00:53:49,440 --> 00:53:51,759 Speaker 1: or any other, suggest a topic for the future, or 925 00:53:51,840 --> 00:53:54,759 Speaker 1: just to say hello, you can email us at contact 926 00:53:54,800 --> 00:54:05,600 Speaker 1: at stuff to Blow your Mind dot com. Stuff to 927 00:54:05,640 --> 00:54:08,960 Speaker 1: Blow Your Mind is production of iHeartRadio. For more podcasts 928 00:54:08,960 --> 00:54:12,080 Speaker 1: from my heart Radio, visit the iHeartRadio app, Apple Podcasts, 929 00:54:12,160 --> 00:54:22,680 Speaker 1: or wherever you're listening to your favorite shows.