Discovering 15 Giant Radio Galaxies, Titan’s Rapid Changes, and the AI Extinction Debate
Movies First: Film Reviews & InsightsMay 13, 202500:36:0933.11 MB

Discovering 15 Giant Radio Galaxies, Titan’s Rapid Changes, and the AI Extinction Debate

Kind: captions Language: en
00:00:00 --> 00:00:03 This is Spacetime Series 28 episode 57

00:00:03 --> 00:00:06 for broadcast on the 12th of May

00:00:06 --> 00:00:09 2025. Coming up on Spaceime, discovery

00:00:09 --> 00:00:13 of 15 new giant galaxies. Saturn's moon

00:00:13 --> 00:00:16 Titan appears to be changing quickly. A

00:00:16 --> 00:00:18 failed Soviet spacecraft bound for Venus

00:00:18 --> 00:00:21 crashes back to Earth 53 years after its

00:00:21 --> 00:00:24 launch. And could artificial

00:00:24 --> 00:00:27 intelligence exterminate the human race?

00:00:27 --> 00:00:30 How far away are we really from Skynet?

00:00:30 --> 00:00:35 All that and more coming up on Spaceime.

00:00:35 --> 00:00:39 Welcome to Space Time with Stuart Garry.

00:00:39 --> 00:00:46 [Music]



00:00:54 --> 00:00:56 Astronomers have discovered 15 giant

00:00:56 --> 00:00:58 radio galaxies, each more than 3 million

00:00:58 --> 00:01:01 lightyears across and each hosting a

00:01:01 --> 00:01:03 highly active super massive black hole.

00:01:03 --> 00:01:05 The findings reported on the pre-press

00:01:05 --> 00:01:07 physics website archive.org were made

00:01:08 --> 00:01:10 using ASCAP, the Australian square

00:01:10 --> 00:01:12 kilometer array pathfinder. The

00:01:12 --> 00:01:14 discovery is important for astronomers

00:01:14 --> 00:01:16 who are studying the formation and

00:01:16 --> 00:01:19 evolution of radiosource galaxies. The

00:01:19 --> 00:01:20 study's lead author Barry Belel

00:01:20 --> 00:01:22 Corabowski from the University of

00:01:22 --> 00:01:24 Western Sydney says these are rare

00:01:24 --> 00:01:27 objects that have grown in unusually low

00:01:27 --> 00:01:29 density environments and are displaying

00:01:29 --> 00:01:31 powerful jets and lobes traveling at

00:01:31 --> 00:01:33 super luminal speeds and composed of

00:01:33 --> 00:01:36 synatron emitting plasma. SAP is an

00:01:36 --> 00:01:39 array of 36 radio dishes, an

00:01:39 --> 00:01:41 intererometer operating in the 700 to

00:01:41 --> 00:01:45 1 megahertz range. Corabowski says

00:01:45 --> 00:01:47 it can achieve extremely high survey

00:01:47 --> 00:01:49 speeds, making it one of the best

00:01:49 --> 00:01:51 instruments in the world for mapping the

00:01:51 --> 00:01:53 sky at radio wavelengths. The newly

00:01:53 --> 00:01:55 discovered galaxies have a stunning

00:01:55 --> 00:01:58 range of morphologies. Eight of these

00:01:58 --> 00:02:00 massive ellipticals are characterized by

00:02:00 --> 00:02:02 prominent radio hotspots at the end of

00:02:02 --> 00:02:04 their radio lobes. A further four

00:02:04 --> 00:02:07 galaxies have bright inner radio jets

00:02:07 --> 00:02:09 but fading outer radolopes without hot

00:02:09 --> 00:02:11 spots. And the remaining three all

00:02:11 --> 00:02:13 appear to be sort of intermediate or

00:02:13 --> 00:02:16 hybrid galaxies. The largest of the 15

00:02:16 --> 00:02:19 newly found galaxies ascap

00:02:19 --> 00:02:22 J0107US 2347 is a double radio galaxy

00:02:22 --> 00:02:26 with two sets of double loes. Corabski

00:02:26 --> 00:02:28 says it harbors newly formed inner lobes

00:02:28 --> 00:02:30 which are already spanning about 2

00:02:30 --> 00:02:31 million lighty years and are bright and

00:02:32 --> 00:02:34 compact. while the outer relic globes

00:02:34 --> 00:02:36 are elongated and have very low surface

00:02:36 --> 00:02:39 brightness. She says the discoveries are

00:02:39 --> 00:02:42 an amazing find. A radio galaxy

00:02:42 --> 00:02:45 typically has a core and jets and radio

00:02:45 --> 00:02:49 loopes. A giant radio galaxy is just the

00:02:49 --> 00:02:52 biggest of these radio galaxies that we

00:02:52 --> 00:02:54 can find. We call them radio galaxies

00:02:54 --> 00:02:57 because the core is associated with a

00:02:57 --> 00:02:59 galaxy that we can see at optical

00:02:59 --> 00:03:01 wavelength. It's usually a really

00:03:01 --> 00:03:04 massive elliptical galaxy, but the radio

00:03:04 --> 00:03:07 lopes are typically only seen at radio

00:03:07 --> 00:03:09 wavelengths. There's rare occasions

00:03:09 --> 00:03:11 where we can also see them in X-rays,

00:03:11 --> 00:03:14 but they are very very well known to be

00:03:14 --> 00:03:16 detected in the radio. Do we know what

00:03:16 --> 00:03:20 generates these radios? Um, we think so.

00:03:20 --> 00:03:22 Yes. So, these massive elliptical

00:03:22 --> 00:03:25 galaxies hold massive black holes in

00:03:25 --> 00:03:27 their center. In fact, the bigger the

00:03:27 --> 00:03:29 galaxy, the more massive the galaxy, the

00:03:29 --> 00:03:31 the more massive the black hole. And

00:03:31 --> 00:03:34 when the black hole is active, so after

00:03:34 --> 00:03:37 it has been feeding and growing, it

00:03:37 --> 00:03:41 develops jets, very very strong jets

00:03:41 --> 00:03:45 that are symmetric uh going out on both

00:03:45 --> 00:03:49 sides of the galaxy. And these drive

00:03:49 --> 00:03:51 through the medium around them and when

00:03:51 --> 00:03:54 the jabs stop all you can see is the

00:03:54 --> 00:03:58 veloes. So sometimes you see a very

00:03:58 --> 00:04:01 narrow jet at at very high speed coming

00:04:02 --> 00:04:04 out of the center of these elliptical

00:04:04 --> 00:04:07 galaxies and then the material around

00:04:07 --> 00:04:11 the jet forms this kind of cocoon this

00:04:11 --> 00:04:14 globe that also flows back towards the

00:04:14 --> 00:04:16 galaxy. These jets, they're traveling at

00:04:16 --> 00:04:17 close to super luminal speeds, aren't

00:04:18 --> 00:04:20 they? Absolutely. I mean everything

00:04:20 --> 00:04:23 about these objects is just incredible.

00:04:23 --> 00:04:25 the the mass, the speed, the sizes of

00:04:25 --> 00:04:28 them. So, they're kind of the monsters

00:04:28 --> 00:04:30 in the sky and they're very very

00:04:30 --> 00:04:33 interesting to study to understand both

00:04:33 --> 00:04:37 what drives the black hole and the jets

00:04:37 --> 00:04:41 and why these loes kind of stay that

00:04:41 --> 00:04:44 long and expand that far out. There's

00:04:44 --> 00:04:46 still a range of hypotheses to try and

00:04:46 --> 00:04:48 explain exactly what's generating the

00:04:48 --> 00:04:51 jets themselves. We know what they are,

00:04:51 --> 00:04:53 but exactly how they're generated from

00:04:53 --> 00:04:54 above the accretion disc, that's still

00:04:54 --> 00:04:57 debated somewhat, isn't it? It is. Yes.

00:04:57 --> 00:04:59 As you point out, they're not directly

00:04:59 --> 00:05:01 coming from the black hole. They're

00:05:01 --> 00:05:03 coming from the vicinity of the black

00:05:03 --> 00:05:05 hole. They're driven by the black hole.

00:05:06 --> 00:05:08 But how exactly this works is is not

00:05:08 --> 00:05:11 well known and there are several models

00:05:11 --> 00:05:14 and it can help us seeing the objects at

00:05:14 --> 00:05:17 different viewing angles. So sometimes

00:05:17 --> 00:05:20 we look straight down the barrel u the

00:05:20 --> 00:05:23 blazer but the jet is essentially coming

00:05:23 --> 00:05:25 straight towards us. Other times we see

00:05:25 --> 00:05:28 the jet side on. And so in the giant

00:05:28 --> 00:05:31 radio galaxies we see very very old

00:05:31 --> 00:05:34 material very far away from the

00:05:34 --> 00:05:37 galaxies. Then we see closer by newer

00:05:37 --> 00:05:40 material. And even closer we sometimes

00:05:40 --> 00:05:44 see a jet just restarted as a black hole

00:05:44 --> 00:05:46 seem to go through periods of

00:05:46 --> 00:05:49 inactivity. They're kind of dormant just

00:05:49 --> 00:05:52 sitting there and maybe not enough fuel

00:05:52 --> 00:05:55 to produce jets and other times they're

00:05:55 --> 00:05:57 restarting their jets. And so it's very

00:05:57 --> 00:06:00 very interesting to look at these these

00:06:00 --> 00:06:02 monsters in the sky and see if we keep

00:06:02 --> 00:06:04 it can um detect some that are just

00:06:04 --> 00:06:07 restarted, others that are dormant and

00:06:07 --> 00:06:09 understand how they get so large.

00:06:09 --> 00:06:11 Usually when we think of elliptical

00:06:11 --> 00:06:13 galaxies, we're thinking of fairly large

00:06:13 --> 00:06:15 galaxies and galaxies which are fairly

00:06:15 --> 00:06:17 old as well. Often called described as

00:06:18 --> 00:06:19 being red and is that what we're seeing

00:06:19 --> 00:06:21 here? That's absolutely right. I think

00:06:21 --> 00:06:24 of them in exactly the same terms, kind

00:06:24 --> 00:06:29 of old and red and not much gas and

00:06:29 --> 00:06:30 slowly

00:06:30 --> 00:06:33 rotating. But the more I study them that

00:06:33 --> 00:06:36 the more is kind of going on as they

00:06:36 --> 00:06:40 grow by accretion and mergers. So they

00:06:40 --> 00:06:43 get that big by accumulating you know

00:06:43 --> 00:06:45 accreating their neighbors. So it's not

00:06:45 --> 00:06:48 a good neighborhood to live in. And so

00:06:48 --> 00:06:51 there is uh activity and if they want to

00:06:52 --> 00:06:54 get bigger they just need to swallow up

00:06:54 --> 00:06:56 the neighborhood. And it seems that this

00:06:56 --> 00:06:59 kind of merging of galaxies also

00:06:59 --> 00:07:02 sometimes restarts the jet. So I think a

00:07:02 --> 00:07:04 very very interesting field to study. So

00:07:04 --> 00:07:07 we can just look afterwards what's

00:07:07 --> 00:07:09 standing out in the field that may have

00:07:09 --> 00:07:11 produced something like that. If we had

00:07:11 --> 00:07:14 an observation happening exactly at the

00:07:14 --> 00:07:16 time that this is happening, then it

00:07:16 --> 00:07:18 would be easier. But you can't predict

00:07:18 --> 00:07:20 when and where this is happening. You

00:07:20 --> 00:07:22 found 15 of these giant radio galaxies.

00:07:22 --> 00:07:24 They appear to be different classes,

00:07:24 --> 00:07:26 don't they? Yeah. So when I when I

00:07:26 --> 00:07:28 looked in this field, the first thing

00:07:28 --> 00:07:31 that stood out was actually an art radio

00:07:31 --> 00:07:33 circle, an orc uh that we published

00:07:33 --> 00:07:36 couple of years back. And then um many

00:07:36 --> 00:07:39 many other objects caught my eyes. When

00:07:39 --> 00:07:41 I look through these data by eye, it's a

00:07:41 --> 00:07:44 big peculiar looking objects that stand

00:07:44 --> 00:07:46 out. When we went through it

00:07:46 --> 00:07:49 meticulously, we actually found about

00:07:49 --> 00:07:53 230 extended radio galaxies. So the the

00:07:53 --> 00:07:55 15 that are focused on in this

00:07:55 --> 00:07:58 particular research work of large

00:07:58 --> 00:08:01 angular size in my data. If you think of

00:08:01 --> 00:08:03 the size of the moon, that's kind of

00:08:03 --> 00:08:05 half a degree. These are, you know,

00:08:05 --> 00:08:08 several moons across. And so they are

00:08:08 --> 00:08:10 particularly easy to study in detail. I

00:08:10 --> 00:08:13 can see the core. I can sometimes see

00:08:13 --> 00:08:15 the jets. Quite often the jets are not

00:08:15 --> 00:08:18 active. So I just see the old radio

00:08:18 --> 00:08:20 lobe, but sometimes I see two pairs of

00:08:20 --> 00:08:24 them as well from one event and from an

00:08:24 --> 00:08:27 older event. And then I crossorrelated

00:08:27 --> 00:08:30 them with galaxy clusters because we

00:08:30 --> 00:08:32 know the kind of weather in clusters.

00:08:32 --> 00:08:35 the distribution of the plasma, the

00:08:35 --> 00:08:39 electrons can stifle the radio lobe

00:08:39 --> 00:08:41 expansion, it can bend them and so it

00:08:41 --> 00:08:44 has an influence on how big these giant

00:08:44 --> 00:08:47 radio galaxies grow but the cluster data

00:08:47 --> 00:08:50 are not yet very good in this uh domain.

00:08:50 --> 00:08:53 We usually study them in X-rays and um

00:08:53 --> 00:08:56 the Azita telescope is also surveying

00:08:56 --> 00:08:59 the sky but for this area we haven't

00:08:59 --> 00:09:02 received the data yet. So this will be a

00:09:02 --> 00:09:04 study to do in the future. Really

00:09:04 --> 00:09:07 amazing. These things are up to 2

00:09:07 --> 00:09:09 million light years long. That's like

00:09:09 --> 00:09:11 the distance between our galaxy and

00:09:11 --> 00:09:14 Andromeda. Yeah. All all the numbers

00:09:14 --> 00:09:16 about these giant radio galaxies are

00:09:16 --> 00:09:19 mindboggling. And just thinking of the

00:09:19 --> 00:09:21 size of the Milky Way and

00:09:21 --> 00:09:24 Andromeda together which is surrounded

00:09:24 --> 00:09:27 by dwarf galaxies and forming the local

00:09:27 --> 00:09:29 group. the local group is about you know

00:09:29 --> 00:09:32 one megapex in size and these galaxies

00:09:32 --> 00:09:35 are typically larger than one megapex.

00:09:35 --> 00:09:38 So it's yeah it's space in that sense is

00:09:38 --> 00:09:40 just absolutely incredible and those

00:09:40 --> 00:09:44 sizes of and those sizes translate of

00:09:44 --> 00:09:47 course into large time scale scales as

00:09:47 --> 00:09:50 well where either the jets active or

00:09:50 --> 00:09:52 even when they're not active some of

00:09:52 --> 00:09:55 those loes uh keep expanding for a while

00:09:55 --> 00:09:58 if nothing is stopping them then they

00:09:58 --> 00:10:01 seem to be able to expand further and

00:10:01 --> 00:10:03 they hang around and they get older of

00:10:04 --> 00:10:05 course. So we need to go to lower and

00:10:05 --> 00:10:08 lower frequencies to still see them as

00:10:08 --> 00:10:11 the radio spectrum for the old globe

00:10:11 --> 00:10:12 changes. Where would you like to take

00:10:12 --> 00:10:14 this science to next? What would you

00:10:14 --> 00:10:17 like to do next? Yeah, I'm still really

00:10:17 --> 00:10:19 learning about these galaxies. There are

00:10:19 --> 00:10:23 so many questions and the data give a

00:10:23 --> 00:10:26 few answers. Mostly they give even more

00:10:26 --> 00:10:29 questions. But I also like looking for

00:10:29 --> 00:10:31 for new things in general. I mean

00:10:31 --> 00:10:34 looking at these data is really a kind

00:10:34 --> 00:10:38 of new window for us to find things that

00:10:38 --> 00:10:40 were not known before. So we have a

00:10:40 --> 00:10:44 whole interaction space where people can

00:10:44 --> 00:10:47 post images and ideas and often it's

00:10:47 --> 00:10:49 just like I found this blob. I have no

00:10:49 --> 00:10:52 idea what it is and it's so amorphous.

00:10:52 --> 00:10:55 It's so large. It's so strangely

00:10:55 --> 00:10:57 looking. It's certainly not a galaxy.

00:10:57 --> 00:11:00 It's maybe, you know, a lope, a hot spot

00:11:00 --> 00:11:02 that has been left behind or it could be

00:11:02 --> 00:11:05 a cluster halo, but the the cluster is

00:11:05 --> 00:11:08 not obvious yet in the optical. So, I

00:11:08 --> 00:11:10 like looking for new things and ASCAP is

00:11:10 --> 00:11:13 really really great at that. At the same

00:11:13 --> 00:11:15 time, looking at the things we already

00:11:15 --> 00:11:18 know, radio galaxies or starburst

00:11:18 --> 00:11:21 galaxies, um, you know, clusters and

00:11:21 --> 00:11:24 galaxy groups is is also exciting. So

00:11:24 --> 00:11:26 there there's never a boring day as

00:11:26 --> 00:11:28 there's usually a new field every day to

00:11:28 --> 00:11:31 look at and uh many people might say it

00:11:31 --> 00:11:34 gets a bit tiring doing this by eye and

00:11:34 --> 00:11:35 that's absolutely right. It's not

00:11:35 --> 00:11:38 everybody's thing. So we are developing

00:11:38 --> 00:11:41 tools that help us know via machine

00:11:41 --> 00:11:44 learning and AI to find a lot of the

00:11:44 --> 00:11:47 more common objects because such

00:11:47 --> 00:11:49 algorithms need to be trained and they

00:11:49 --> 00:11:51 can usually be trained only on objects

00:11:51 --> 00:11:54 that we already know very well and so I

00:11:54 --> 00:11:56 try to focus on the peculiar and less

00:11:56 --> 00:11:58 well-known objects. Now you mentioned

00:11:58 --> 00:12:00 starburst galaxies earlier and that

00:12:00 --> 00:12:02 raises the interesting prospect often

00:12:02 --> 00:12:06 when we see quazars blazars AGN's in

00:12:06 --> 00:12:08 spiral galaxies one of two things is

00:12:08 --> 00:12:11 often happens either they're clearing

00:12:11 --> 00:12:13 out the area and getting rid of a lot of

00:12:13 --> 00:12:15 interstellar material or they're

00:12:15 --> 00:12:17 sparking a new generation of stars to be

00:12:17 --> 00:12:19 born. What are we seeing in elliptical

00:12:19 --> 00:12:21 galaxies when this happens? Yeah, the

00:12:21 --> 00:12:23 stuff this is something we're working

00:12:23 --> 00:12:27 on. So um because in many optical images

00:12:27 --> 00:12:30 these really just appear like a round

00:12:30 --> 00:12:32 reddish blob we don't know so much about

00:12:32 --> 00:12:35 them. So we've recently embarked on some

00:12:35 --> 00:12:37 kek observations to actually observe

00:12:37 --> 00:12:40 some lines of the ionized gas that might

00:12:40 --> 00:12:45 be H alpha or O23 H beta and then by

00:12:45 --> 00:12:47 looking at the line width and the line

00:12:47 --> 00:12:50 strength and the ratio of these lines we

00:12:50 --> 00:12:52 can know something more about the

00:12:52 --> 00:12:54 excitation mechanism the star formation

00:12:54 --> 00:12:57 rates going on and we can also look at

00:12:57 --> 00:12:59 the star formation history. So we can

00:12:59 --> 00:13:01 look if something happened like a

00:13:01 --> 00:13:04 million years or 10 million years ago.

00:13:04 --> 00:13:07 So this is also relatively new for me.

00:13:08 --> 00:13:10 We were just able to get cact time in in

00:13:10 --> 00:13:13 March with my Japanese collaborators. As

00:13:13 --> 00:13:15 we want to know more what's actually

00:13:15 --> 00:13:17 happening in these boring looking

00:13:17 --> 00:13:20 ellipticals. Another avenue um I worked

00:13:20 --> 00:13:22 with people in in Munich with the with

00:13:22 --> 00:13:24 Klo Dolak and his group on the

00:13:24 --> 00:13:26 magneticcom project. So those are

00:13:27 --> 00:13:29 cosmological simulations. So he's

00:13:29 --> 00:13:31 creating a massive elliptical galaxies

00:13:32 --> 00:13:35 in his simulations and then looks what's

00:13:35 --> 00:13:37 happening in the surroundings of these

00:13:37 --> 00:13:40 giant elliptical galaxies that got so

00:13:40 --> 00:13:42 big via mergers and accretion and we

00:13:42 --> 00:13:45 find things that look like orcs. So we

00:13:45 --> 00:13:47 find shells around elliptical galaxies

00:13:48 --> 00:13:50 that are detectable in the radio that

00:13:50 --> 00:13:53 were really not known before. So um

00:13:53 --> 00:13:55 every avenue needs to be explored be it

00:13:55 --> 00:13:59 optical, radio, infrared um and at the

00:13:59 --> 00:14:02 same time looking at the simulations uh

00:14:02 --> 00:14:05 and various people do these simulations

00:14:05 --> 00:14:07 hydro simulations or cosmological

00:14:07 --> 00:14:09 simulations focusing on on different

00:14:09 --> 00:14:12 areas and so it's like a giant puzzle

00:14:12 --> 00:14:14 where where we slowly put the pieces

00:14:14 --> 00:14:16 together without knowing how the picture

00:14:16 --> 00:14:18 actually looks like. That's Bayabel

00:14:18 --> 00:14:20 Corabowski from the University of

00:14:20 --> 00:14:24 Western Sydney and this is Spacetime.

00:14:24 --> 00:14:26 Still to come, astronomers have

00:14:26 --> 00:14:28 discovered that the orbit of Saturn's

00:14:28 --> 00:14:30 moon Titan is changing very quickly on

00:14:30 --> 00:14:33 geological time scales. A failed Soviet

00:14:33 --> 00:14:35 spacecraft bound for Venus crashes back

00:14:35 --> 00:14:39 to Earth 53 years after its launch. And

00:14:39 --> 00:14:40 the warnings from science fiction have

00:14:40 --> 00:14:43 been numerous and consistent. Artificial

00:14:43 --> 00:14:45 intelligence could pose a real threat to

00:14:45 --> 00:14:47 the survival of humanity. But of course

00:14:47 --> 00:14:49 that's science fiction. Where does the

00:14:50 --> 00:14:52 truth lie? All that and more still to

00:14:52 --> 00:14:55 come on

00:14:55 --> 00:14:57 Spaceime. Okay, let's take a break from

00:14:57 --> 00:14:59 our show for a word from our sponsor

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00:16:21 --> 00:16:22 you'll find all those details in our

00:16:22 --> 00:16:25 show notes. And now it's back to our

00:16:25 --> 00:16:28 show.

00:16:28 --> 00:16:38 [Music]

00:16:38 --> 00:16:40 Astronomers have discovered that the

00:16:40 --> 00:16:42 orbit of the Saturnian moon Titan is

00:16:42 --> 00:16:44 changing quickly on geological time

00:16:44 --> 00:16:47 scales. They found that Titan is slowly

00:16:47 --> 00:16:49 recovering from a relatively recent

00:16:49 --> 00:16:51 event that dramatically affected its

00:16:51 --> 00:16:53 orbit. Scientists were studying the

00:16:54 --> 00:16:56 mysterious moon to determine its tidal

00:16:56 --> 00:16:58 dissipation rate. that is the energy it

00:16:58 --> 00:17:00 loses as it orbits its ringed host

00:17:00 --> 00:17:02 planet Saturn and is affected by

00:17:02 --> 00:17:05 Saturn's massive gravitational forces.

00:17:05 --> 00:17:07 Understanding tidal dissipation is

00:17:07 --> 00:17:09 important because it helps scientists

00:17:09 --> 00:17:11 infer many other things about a moon or

00:17:11 --> 00:17:13 planet such as the composition of its

00:17:13 --> 00:17:16 inner core and its orbital history. The

00:17:16 --> 00:17:18 study's lead author Brian Adi from the

00:17:18 --> 00:17:19 Southwest Research Institute says when

00:17:20 --> 00:17:21 most people think of tides they think of

00:17:21 --> 00:17:24 the movement of the oceans in and out in

00:17:24 --> 00:17:25 relation to the passage of the moon

00:17:25 --> 00:17:28 overhead. But that's really just because

00:17:28 --> 00:17:31 water moves more freely than solid rock.

00:17:31 --> 00:17:33 You see, when the moon passes overhead,

00:17:33 --> 00:17:36 a rock, the Earth itself, is also

00:17:36 --> 00:17:38 responding, just with a lot less

00:17:38 --> 00:17:40 perceptivity. But it's that little bit

00:17:40 --> 00:17:41 of gravity that the moon is imposing,

00:17:41 --> 00:17:44 which scientists refer to as tidal

00:17:44 --> 00:17:46 dissipation. To measure tidal

00:17:46 --> 00:17:47 dissipation on the moon, scientists

00:17:47 --> 00:17:49 shoot lasers from Earth that mirrors

00:17:49 --> 00:17:51 placed across the lunar surface by the

00:17:51 --> 00:17:53 Apollo astronauts. And this allows them

00:17:54 --> 00:17:55 to accurately measure the slightest

00:17:55 --> 00:17:58 movements. Of course, that can't be done

00:17:58 --> 00:18:00 for Titan. So instead, scientists have

00:18:00 --> 00:18:02 developed a way to infer dissipation

00:18:02 --> 00:18:04 rates based on the difference in Titan

00:18:04 --> 00:18:06 spin axis rotation from what would be

00:18:06 --> 00:18:09 expected absent of any such force.

00:18:09 --> 00:18:11 Downey says tidal dissipation in moons

00:18:11 --> 00:18:13 affects their orbital and rotational

00:18:13 --> 00:18:14 evolution as well as their ability to

00:18:14 --> 00:18:17 maintain subsurface oceans. See, as

00:18:17 --> 00:18:19 gravity from a host planet squeezes and

00:18:19 --> 00:18:21 compresses a moon orbiting around it,

00:18:21 --> 00:18:23 that causes friction, and that friction

00:18:23 --> 00:18:26 can generate enough heat to melt ices,

00:18:26 --> 00:18:27 consequently providing the right

00:18:27 --> 00:18:30 conditions for a subsurface ocean. And

00:18:30 --> 00:18:32 the new findings reported in the journal

00:18:32 --> 00:18:34 Science Advances are providing an

00:18:34 --> 00:18:35 estimate for the strength of tides on

00:18:36 --> 00:18:37 Titan and what they say about how

00:18:37 --> 00:18:39 quickly the orbit of that moon is

00:18:39 --> 00:18:41 changing. In fact, they found that it's

00:18:41 --> 00:18:43 changing quickly on geological time

00:18:43 --> 00:18:46 scales. Downey and colleagues considered

00:18:46 --> 00:18:47 that the angle of Titan's spin pole

00:18:47 --> 00:18:50 orientation can only be due to friction

00:18:50 --> 00:18:52 and they deduced a way to relate this

00:18:52 --> 00:18:55 angle to a tidal friction parameter. And

00:18:55 --> 00:18:57 in this way, they're able to deduce some

00:18:57 --> 00:18:59 of the history of Titan from its current

00:18:59 --> 00:19:01 spin state. You see, friction in a

00:19:01 --> 00:19:03 satellite's interior causes it to slowly

00:19:03 --> 00:19:06 progress towards a circular orbit. Now,

00:19:06 --> 00:19:08 at the rate its orbit's changing, Titan

00:19:08 --> 00:19:10 should have acquired a circular orbit

00:19:10 --> 00:19:12 within about 350 million years of its

00:19:12 --> 00:19:15 formation. And the fact that Titan still

00:19:15 --> 00:19:17 has a non-ircular eccentric orbit

00:19:17 --> 00:19:19 implies that something's occurred within

00:19:19 --> 00:19:21 the past 350 million years that have

00:19:21 --> 00:19:23 perturbed it. Now, there are a number of

00:19:23 --> 00:19:26 possible reasons for this, including a

00:19:26 --> 00:19:28 major impact event. Needless to say, a

00:19:28 --> 00:19:30 lot more studies will be needed before

00:19:30 --> 00:19:33 any firm conclusions can be reached.

00:19:33 --> 00:19:36 This is spaceime. Still to come, a

00:19:36 --> 00:19:39 failed Soviet spacecraft bound for Venus

00:19:39 --> 00:19:42 crashes back to Earth 53 years after its

00:19:42 --> 00:19:44 launch. Could artificial intelligence

00:19:44 --> 00:19:46 exterminate humanity? The science

00:19:46 --> 00:19:49 fiction writers say it's highly likely,

00:19:49 --> 00:19:51 but what do the facts tell us? And later

00:19:51 --> 00:19:53 in the science report, a new study warns

00:19:53 --> 00:19:56 that taking cannabis during pregnancy

00:19:56 --> 00:19:58 may increase the risk of several adverse

00:19:58 --> 00:20:00 birth outcomes. All that and more still

00:20:00 --> 00:20:07 to come on Spaceime.

00:20:07 --> 00:20:15 [Music]



00:20:18 --> 00:20:20 A failed Soviet era spacecraft has

00:20:20 --> 00:20:22 crashed back to Earth somewhere between

00:20:22 --> 00:20:25 the Indian Ocean west of Jakarta and the

00:20:25 --> 00:20:26 Southern Ocean off the western

00:20:26 --> 00:20:29 Australian South Coast. But the exact

00:20:29 --> 00:20:31 point of impact of the Cosmos 482 is

00:20:31 --> 00:20:34 still a mystery. Launched back in March

00:20:34 --> 00:20:37 1972 on a mission to study and land on

00:20:37 --> 00:20:40 the planet Venus, the Cosmos 482 failed

00:20:40 --> 00:20:42 to escape low Earth orbit due to a

00:20:42 --> 00:20:44 flight systems programming error causing

00:20:44 --> 00:20:48 premature stage separation. And that

00:20:48 --> 00:20:50 left the spacecraft doomed to spend the

00:20:50 --> 00:20:53 next 53 years circling the Earth.

00:20:53 --> 00:20:54 Shortly after being placed in its

00:20:54 --> 00:20:57 parking orbit, the probe split into four

00:20:57 --> 00:20:59 sections, two of which quickly re-enter

00:20:59 --> 00:21:01 the Earth's atmosphere within a month,

00:21:01 --> 00:21:03 hitting the ground in New Zealand. The

00:21:03 --> 00:21:05 remaining two sections, the descent and

00:21:05 --> 00:21:07 landing module and the propulsion unit

00:21:07 --> 00:21:10 remained in a highly elliptical 210 by

00:21:10 --> 00:21:13 9 km high orbit, which is gradually

00:21:13 --> 00:21:17 degraded over the past 53 years. Last

00:21:17 --> 00:21:20 month, the 495 kg spacecraft began

00:21:20 --> 00:21:21 experiencing heavy buffering as it

00:21:21 --> 00:21:23 skipped across the upper layers of

00:21:23 --> 00:21:25 Earth's atmosphere, dramatically

00:21:25 --> 00:21:27 increasing its atmospheric drag and

00:21:27 --> 00:21:29 consequently orbital decay. Because the

00:21:29 --> 00:21:31 uncontrolled nature of its flight path,

00:21:31 --> 00:21:33 the constantly changing space weather,

00:21:33 --> 00:21:35 and terrestrial atmospheric conditions,

00:21:35 --> 00:21:37 scientists couldn't be sure exactly

00:21:37 --> 00:21:40 where or when it would re-enter. But the

00:21:40 --> 00:21:42 real fear was the fact that the

00:21:42 --> 00:21:44 spacecraft had been heavily engineered,

00:21:44 --> 00:21:46 specifically designed to withstand the

00:21:46 --> 00:21:47 high temperatures and extreme pressures

00:21:47 --> 00:21:50 of landing on Venus, a world where

00:21:50 --> 00:21:53 surface temperatures exceed 460° C.

00:21:53 --> 00:21:56 Atmospheric pressures are 100 times

00:21:56 --> 00:21:58 greater than that on Earth. And it rains

00:21:58 --> 00:22:01 sulfuric acid. So unlike most small

00:22:01 --> 00:22:02 spacecraft which normally burn up on

00:22:02 --> 00:22:05 re-entry, leaving only stainless steel

00:22:05 --> 00:22:07 and titanium components intact, the

00:22:07 --> 00:22:10 Cosmos 482 was expected to survive its

00:22:10 --> 00:22:12 fiery re-entry into Earth's atmosphere

00:22:12 --> 00:22:14 virtually fully intact. The Russian

00:22:14 --> 00:22:17 space agency Ros Cosmos claims it

00:22:17 --> 00:22:19 splashed down harmlessly into the sea.

00:22:19 --> 00:22:21 Its long space odyssey finally coming to

00:22:21 --> 00:22:23 an end west of Indonesia.

00:22:23 --> 00:22:25 However, other space agencies and

00:22:25 --> 00:22:27 tracking organizations predicted

00:22:27 --> 00:22:29 different entry paths with some

00:22:29 --> 00:22:31 estimates suggesting the meter probe

00:22:31 --> 00:22:32 would have crossed the western

00:22:32 --> 00:22:34 Australian coastline near Caravvern

00:22:34 --> 00:22:36 heading in a southeasterly direction and

00:22:36 --> 00:22:38 then exiting Australia west of

00:22:38 --> 00:22:40 Esperance. And that's very reminiscent

00:22:40 --> 00:22:43 of the demise of Skyab in 1979, which

00:22:44 --> 00:22:45 crashed into the Western Australian

00:22:45 --> 00:22:47 outback, spreading debris over a vast

00:22:47 --> 00:22:50 area between Espirants and the Trans

00:22:50 --> 00:22:52 Australian Railway Staging Post of

00:22:52 --> 00:22:56 Rolina. This is

00:22:56 --> 00:22:58 spaceime. Well, the warnings from

00:22:58 --> 00:23:00 science fiction have been numerous and

00:23:00 --> 00:23:03 constant. Artificial intelligence could

00:23:03 --> 00:23:05 pose a real threat to the survival of

00:23:05 --> 00:23:07 humanity. But of course, that's science

00:23:08 --> 00:23:11 fiction, not science fact. So, where

00:23:11 --> 00:23:13 does the truth lie? Well, the truth is

00:23:13 --> 00:23:15 AI has continued to advance in

00:23:15 --> 00:23:17 intelligence at an astounding rate,

00:23:18 --> 00:23:19 having already equaled, if not

00:23:19 --> 00:23:22 surpassed, the smartest humans. And it's

00:23:22 --> 00:23:24 now evolving so quickly that it will

00:23:24 --> 00:23:26 soon, possibly by the end of this year,

00:23:26 --> 00:23:28 reach a state known as super general

00:23:28 --> 00:23:31 intelligence. That's a point where an AI

00:23:31 --> 00:23:33 would see humans as nothing more than

00:23:33 --> 00:23:35 the equivalent as how humans see

00:23:35 --> 00:23:37 microbes. AI has already shown a

00:23:37 --> 00:23:39 propensity for some troubling human

00:23:39 --> 00:23:41 traits, such as deliberately being

00:23:41 --> 00:23:43 dishonest, being deceitful, and being

00:23:43 --> 00:23:45 capable of outsmarting its creators in

00:23:45 --> 00:23:47 order to survive by surreptitiously

00:23:47 --> 00:23:50 hiding in other programs or changing its

00:23:50 --> 00:23:52 identity. So, all that suggests in

00:23:52 --> 00:23:56 reality, Skynet may not be far off.

00:23:56 --> 00:23:57 However, a new study claims there's

00:23:58 --> 00:23:59 still little chance of artificial

00:23:59 --> 00:24:01 intelligence actually exterminating the

00:24:01 --> 00:24:04 human race. The findings reported in the

00:24:04 --> 00:24:05 journal Scientific American comes

00:24:05 --> 00:24:08 despite numerous warnings by AI

00:24:08 --> 00:24:10 scientists and senior business leaders

00:24:10 --> 00:24:13 suggesting a 10% chance that AI will

00:24:13 --> 00:24:15 cause humanity's extinction by the turn

00:24:15 --> 00:24:17 of the century. Now, you may recall last

00:24:17 --> 00:24:19 year Elon Musk led a group of hundreds

00:24:19 --> 00:24:22 of scientists and engineers who signed

00:24:22 --> 00:24:24 an open letter calling for a six-month

00:24:24 --> 00:24:26 moratorum on all AI development in order

00:24:26 --> 00:24:28 to better understand its true nature and

00:24:28 --> 00:24:31 threat. That statement warns that

00:24:31 --> 00:24:33 mitigating the risk of extinction from

00:24:33 --> 00:24:35 AI should be considered a global

00:24:35 --> 00:24:37 priority alongside other society scale

00:24:37 --> 00:24:39 risks such as pandemics and the threat

00:24:39 --> 00:24:42 of nuclear war. The new study comprising

00:24:42 --> 00:24:44 a scientist, an engineer, and a

00:24:44 --> 00:24:46 mathematician examined exactly how

00:24:46 --> 00:24:48 artificial intelligence could exploit

00:24:48 --> 00:24:50 three major threats all commonly

00:24:50 --> 00:24:52 perceived to be a major risk to

00:24:52 --> 00:24:54 humanity. They are nuclear war,

00:24:54 --> 00:24:56 biological pathogens, and climate

00:24:56 --> 00:24:58 change. They concluded that while it

00:24:58 --> 00:25:01 would be very hard, it's not beyond the

00:25:01 --> 00:25:03 realms of possibility that AI will

00:25:03 --> 00:25:06 exterminate all of humanity. But it's

00:25:06 --> 00:25:08 complicated. See, the study found that

00:25:08 --> 00:25:10 even if AI got control of all nuclear

00:25:10 --> 00:25:12 stockpiles, the explosions, the

00:25:12 --> 00:25:14 radioactive fallout, and the nuclear

00:25:14 --> 00:25:16 winter that follows would still likely

00:25:16 --> 00:25:18 fall short of reaching an extinction

00:25:18 --> 00:25:21 level event. Pockets of people would

00:25:21 --> 00:25:23 survive. They also found that a

00:25:23 --> 00:25:25 combination of deadly species ending

00:25:25 --> 00:25:27 pathogens designed to achieve nearly

00:25:27 --> 00:25:30 100% lethality could be deployed by AI

00:25:30 --> 00:25:32 to achieve rapid global reach. But

00:25:32 --> 00:25:34 again, some communities, those that

00:25:34 --> 00:25:36 deliberately isolated themselves from

00:25:36 --> 00:25:38 the rest of the world, would inevitably

00:25:38 --> 00:25:41 still survive. A hypothetically

00:25:41 --> 00:25:44 99.99% lethal pathogen would still leave

00:25:44 --> 00:25:47 around 800 people alive. That's

00:25:47 --> 00:25:49 enough breeding pairs to keep society

00:25:49 --> 00:25:52 going. And even an AI triggered

00:25:52 --> 00:25:54 acceleration of anthropogenic climate

00:25:54 --> 00:25:55 change could not raise an extinction

00:25:56 --> 00:25:57 level threat to all of humanity, at

00:25:58 --> 00:25:59 least not for several hundreds of

00:25:59 --> 00:26:02 thousands of years. Humans would likely

00:26:02 --> 00:26:03 find new environmental niches in which

00:26:03 --> 00:26:05 to survive, such as, for example, the

00:26:05 --> 00:26:08 Earth's polar regions. But while Skynet

00:26:08 --> 00:26:11 may still be some time off, a Terminator

00:26:11 --> 00:26:12 style attack could happen sooner than

00:26:12 --> 00:26:14 you think. In fact, it's happened

00:26:14 --> 00:26:16 already. Vision was published in the

00:26:16 --> 00:26:19 last week showing a Uni Tree Robotics H1

00:26:19 --> 00:26:22 full-size universal humanoid robot in

00:26:22 --> 00:26:24 China going berserk and attacking

00:26:24 --> 00:26:26 workers in a factory with violent kicks

00:26:26 --> 00:26:28 and flailing arms. The attack was

00:26:28 --> 00:26:30 claimed to have been caused by a coding

00:26:30 --> 00:26:32 error. The problem is incidents like

00:26:32 --> 00:26:35 this aren't isolated. In another

00:26:35 --> 00:26:37 upsetting case, a robot at a Luna

00:26:37 --> 00:26:39 festival in China unexpectedly lurched

00:26:39 --> 00:26:42 towards a crowd causing mass panic among

00:26:42 --> 00:26:44 spectators. And of course, then there's

00:26:44 --> 00:26:45 a risk of terrorist groups infiltrating

00:26:46 --> 00:26:50 AI controls. The list goes on. This is

00:26:50 --> 00:26:56 spaceime, pleasant

00:26:56 --> 00:26:58 dreams. Okay, let's take a break from

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00:28:47 --> 00:28:49 And now it's back to our show.

00:28:49 --> 00:28:56 [Music]

00:28:56 --> 00:28:58 And time now to take a brief look at

00:28:58 --> 00:28:59 some of the other stories making news in

00:29:00 --> 00:29:02 science this week with a science report.

00:29:02 --> 00:29:04 There's more evidence today that using

00:29:04 --> 00:29:06 cannabis during pregnancy could increase

00:29:06 --> 00:29:08 your risk of several adverse birth

00:29:08 --> 00:29:11 outcomes. The findings reported in the

00:29:11 --> 00:29:12 Journal of the American Medical

00:29:12 --> 00:29:14 Association looked at prenatal cannabis

00:29:14 --> 00:29:16 use among more than 1.7 million

00:29:16 --> 00:29:20 participants across 51 separate studies.

00:29:20 --> 00:29:22 The authors say that overall the

00:29:22 --> 00:29:23 evidence suggests that with moderate

00:29:23 --> 00:29:26 certainty that cannabis use in pregnancy

00:29:26 --> 00:29:28 is linked to a higher risk of preterm

00:29:28 --> 00:29:30 birth and that the baby would be born at

00:29:30 --> 00:29:32 either a lower birth weight or small for

00:29:32 --> 00:29:35 its gestational age.

00:29:35 --> 00:29:37 For the first time, scientists have

00:29:37 --> 00:29:39 sequenced the complete genome of one of

00:29:39 --> 00:29:41 Australia's most iconic and endangered

00:29:41 --> 00:29:44 frogs, the southern corrobery frog. A

00:29:44 --> 00:29:45 report in the journal Welcome Open

00:29:46 --> 00:29:48 Research says the Australian amphibian

00:29:48 --> 00:29:50 is considered functionally extinct due

00:29:50 --> 00:29:52 to an infectious disease caused by

00:29:52 --> 00:29:54 fungus. There are simply no viable

00:29:54 --> 00:29:57 populations left. And in fact, the

00:29:57 --> 00:29:59 species is only able to survive because

00:29:59 --> 00:30:01 of support from zoos. University of

00:30:01 --> 00:30:03 Melbourne researchers now hope to use

00:30:03 --> 00:30:05 the genome, which acts as an organism's

00:30:05 --> 00:30:07 genetic blueprint, combined with a set

00:30:07 --> 00:30:09 of DNA instructions to help return the

00:30:09 --> 00:30:11 species to its natural habitat, which is

00:30:11 --> 00:30:14 in the New South Wales snowy

00:30:14 --> 00:30:16 mountains. While many of Australia's

00:30:16 --> 00:30:18 native wildlife are dying, the

00:30:18 --> 00:30:20 Australian human population appears to

00:30:20 --> 00:30:22 be flourishing, especially as they get

00:30:22 --> 00:30:24 older. A report in the journal nature

00:30:24 --> 00:30:26 mental health examined a series of

00:30:26 --> 00:30:28 papers from the global flourishing study

00:30:28 --> 00:30:30 which tried to measure how many people

00:30:30 --> 00:30:32 are in a state in which all aspects of

00:30:32 --> 00:30:34 their lives are good. And the study

00:30:34 --> 00:30:36 found that flourishing which looks at

00:30:36 --> 00:30:38 happiness, health, the meaning of life,

00:30:38 --> 00:30:40 character, relationships and financial

00:30:40 --> 00:30:42 security are increasing with age in many

00:30:42 --> 00:30:45 countries including Australia. The

00:30:45 --> 00:30:47 research also looked at specific aspects

00:30:47 --> 00:30:49 of flourishing, including levels of

00:30:49 --> 00:30:51 optimism, belief in God, and belief in

00:30:51 --> 00:30:54 life after death. The study also found

00:30:54 --> 00:30:56 that globally, both religion and

00:30:56 --> 00:30:58 spirituality were important when it

00:30:58 --> 00:31:00 comes to flourishing. Interestingly, in

00:31:00 --> 00:31:02 most countries, those with a higher

00:31:02 --> 00:31:04 level of education report higher levels

00:31:04 --> 00:31:06 of flourishing, but the reverse was the

00:31:06 --> 00:31:08 case in

00:31:08 --> 00:31:10 Australia. Well, a new video's gone

00:31:10 --> 00:31:12 viral. This one purporting to have

00:31:12 --> 00:31:14 evidence of an Argentinian version of

00:31:14 --> 00:31:16 Bigfoot. But as Tim Mendum from

00:31:16 --> 00:31:18 Australian Skeptics reports, the only

00:31:18 --> 00:31:20 evidence for this claim is lot of

00:31:20 --> 00:31:22 distant howling. Okay, Chris, I have to

00:31:22 --> 00:31:23 point out that every country has their

00:31:23 --> 00:31:25 version of Bigfoot. Even Singapore's got

00:31:25 --> 00:31:26 one. Singapore's about the size of a

00:31:26 --> 00:31:28 postage stamp, but that's got a a

00:31:28 --> 00:31:30 Bigfoot or it did. And Argentina has

00:31:30 --> 00:31:32 one, too, which is called the Ukuma. Um,

00:31:32 --> 00:31:33 and yeah, everyone's got a different

00:31:34 --> 00:31:35 name for it, whether it's abominable

00:31:35 --> 00:31:37 snowman, yeti, Bigfoot, Yowi, whatever.

00:31:37 --> 00:31:39 So, the one in Argentina is the Akuma.

00:31:39 --> 00:31:40 And like all these Bigfoot, you're

00:31:40 --> 00:31:41 trying to find evidence of it. There are

00:31:41 --> 00:31:43 people out there hunting through the

00:31:43 --> 00:31:45 forest trying to find evidence for it. A

00:31:45 --> 00:31:47 recent clip, it is a video appeared on

00:31:47 --> 00:31:49 the net and went viral. So, what it is

00:31:49 --> 00:31:51 is someone staring out of the forest, a

00:31:51 --> 00:31:52 valley actually. It looks like they're

00:31:52 --> 00:31:54 up on high staring into a valley and

00:31:54 --> 00:31:57 they hear this howling noise. It goes on

00:31:57 --> 00:31:58 for a little bit, then stops, and then

00:31:58 --> 00:31:59 they sort of swing the camera around

00:31:59 --> 00:32:01 trying to see where it's coming from.

00:32:01 --> 00:32:03 Looking down from the valley top into

00:32:03 --> 00:32:04 the valley, looking at the tops of

00:32:04 --> 00:32:06 trees, etc. They can't find anything,

00:32:06 --> 00:32:07 but they've heard this sound. So

00:32:07 --> 00:32:11 naturally, everyone says strange howling

00:32:11 --> 00:32:12 Bigfoot and it's sort of like yeah,

00:32:12 --> 00:32:14 maybe it's something else, right? So you

00:32:14 --> 00:32:15 don't instantly jump from I don't know

00:32:15 --> 00:32:17 what this howling is to I do know what

00:32:17 --> 00:32:19 this howling is is a Bigfoot without any

00:32:19 --> 00:32:21 evidence in between. So a video has gone

00:32:21 --> 00:32:24 viral. It's typical of a lot of evidence

00:32:24 --> 00:32:26 of crypted animals, you know, whether

00:32:26 --> 00:32:27 it's lock nest monster, whether it's

00:32:27 --> 00:32:30 Yahi or Bigfoot, whether it's sort of

00:32:30 --> 00:32:32 dinosaurs in Africa, whether it's Koopa

00:32:32 --> 00:32:34 Cabra in the US or whatever. A lot of

00:32:34 --> 00:32:37 claims, very very poor evidence. No

00:32:37 --> 00:32:39 matter how definitive people claim it

00:32:39 --> 00:32:41 is, a shadow in a forest is not

00:32:41 --> 00:32:42 necessarily good evidence. Find a body.

00:32:42 --> 00:32:45 Find me a body of a Bigfoot or or Kuma.

00:32:45 --> 00:32:46 Give me

00:32:46 --> 00:32:48 some. Look at the DNA. Make sure it's

00:32:48 --> 00:32:50 not a deer or make sure it's nothing

00:32:50 --> 00:32:51 else. Right? That you got to look into

00:32:51 --> 00:32:53 it and say that's proof. Now these

00:32:53 --> 00:32:55 things are everywhere. As I said, every

00:32:55 --> 00:32:57 country's got them apparently across the

00:32:57 --> 00:32:59 whole basically every state of America

00:32:59 --> 00:33:01 has them including deserty states. So

00:33:01 --> 00:33:03 you should be able to find something

00:33:03 --> 00:33:05 surely somewhere. After all these years,

00:33:05 --> 00:33:06 someone would have come across something

00:33:06 --> 00:33:08 that's real and that you can prove. But

00:33:08 --> 00:33:10 no, you get these vague howlings on a

00:33:10 --> 00:33:12 video. Yeah, it's audio. So there's no

00:33:12 --> 00:33:15 no mention of a Bigfoot. You get strange

00:33:15 --> 00:33:17 sort of weird feelings of people going

00:33:17 --> 00:33:19 ghost hunting with camouflage gear and

00:33:19 --> 00:33:20 night vision goggles and all this sort

00:33:20 --> 00:33:22 of stuff in in the northwest of America

00:33:22 --> 00:33:25 or wherever. And no, there is no good

00:33:25 --> 00:33:27 evidence for these things existing. Did

00:33:27 --> 00:33:29 they ever exist? There's no good

00:33:29 --> 00:33:30 evidence really apart from some

00:33:30 --> 00:33:32 anecdotal evidence that they did exist.

00:33:32 --> 00:33:34 So please a howling is could be

00:33:34 --> 00:33:36 anything. It could be a dog. It's a

00:33:36 --> 00:33:37 pretty weird howling. It's it's sort of

00:33:38 --> 00:33:40 it's not just like a co coyote sort of

00:33:40 --> 00:33:42 howling. It's a grumble screamy sort of

00:33:42 --> 00:33:43 thing. And you're always going to find

00:33:43 --> 00:33:45 someone who claims to be an expert in

00:33:45 --> 00:33:47 audio who's going to say, "Oh, no. This

00:33:47 --> 00:33:49 definitely has different overtones to a

00:33:49 --> 00:33:51 wolf or a coyote or something like

00:33:51 --> 00:33:52 that." There's an expert for every

00:33:52 --> 00:33:53 claim. Yeah. And the people who claim

00:33:53 --> 00:33:55 and say, "Science doesn't understand

00:33:55 --> 00:33:56 us." And he's the scientist who proves

00:33:56 --> 00:33:59 us right. It is. I mean, if you want to

00:33:59 --> 00:34:00 get totally cynical about this, it's a

00:34:00 --> 00:34:02 video of a forest with a sound, and you

00:34:02 --> 00:34:04 assume the sound is actually live on the

00:34:04 --> 00:34:07 video. Why? It might not be. Okay, it

00:34:07 --> 00:34:08 might be put in afterwards. It might be

00:34:08 --> 00:34:10 a real, you know, howling sound. You

00:34:10 --> 00:34:11 don't know what sort of animal it is.

00:34:11 --> 00:34:12 You can't see it. You don't know.

00:34:12 --> 00:34:14 Someone might analyze it some stage and

00:34:14 --> 00:34:16 say it's a it's a wolf or who knows

00:34:16 --> 00:34:18 what. And what consideration did they

00:34:18 --> 00:34:20 make for the fact that sounds reflect

00:34:20 --> 00:34:22 off other objects like mountains and

00:34:22 --> 00:34:23 boulders and things like that? And this

00:34:23 --> 00:34:25 is very much a narrow valley. It's it's

00:34:25 --> 00:34:27 like they're looking at from the from

00:34:27 --> 00:34:28 the top of the Vshape of the Valley

00:34:28 --> 00:34:30 where the water enters up here looking

00:34:30 --> 00:34:33 down towards the the lower ground levels

00:34:33 --> 00:34:35 and then they zip back and forth through

00:34:35 --> 00:34:37 the trying to look down the valley on

00:34:37 --> 00:34:38 where you see a tree top. Yeah, but you

00:34:38 --> 00:34:40 got to remember these hows do sound

00:34:40 --> 00:34:42 really cool. And this one sounds great

00:34:42 --> 00:34:44 and it's got a lot of coverage because

00:34:44 --> 00:34:46 it does sound cool but it's no evidence

00:34:46 --> 00:34:48 at all. Just an interesting how that's

00:34:48 --> 00:34:52 Tim Mendum from Australian Skeptics.

00:34:52 --> 00:35:05 [Music]

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