Discovering 15 Giant Radio Galaxies, Titan’s Rapid Changes, and the AI Extinction Debate
Space News TodayMay 13, 202500:36:0933.11 MB

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

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This episode of SpaceTime explores remarkable discoveries and urgent cosmic events that are reshaping our understanding of the universe.

New Giant Galaxies Discovered

Astronomers unveil the discovery of 15 new giant radio galaxies, each spanning over 3 million light years and hosting supermassive black holes. Utilizing the advanced capabilities of the Australian Square Kilometer Array Pathfinder (ASCAP), researchers reveal the unique characteristics of these galaxies, including their powerful jets and lobes traveling at superluminal speeds. We delve into the implications of these findings for our understanding of galaxy formation and evolution.

Changes on Titan

Next, we discuss the intriguing changes occurring on Saturn's moon Titan, which is experiencing rapid orbital changes on geological timescales. Scientists explore the factors influencing Titan's tidal dissipation rate and what it reveals about the moon's internal structure and history. This study provides insights into the dynamic processes at play in our solar system's moons.

Failed Soviet Spacecraft Returns

We also cover the dramatic re-entry of the Kosmos 482, a failed Soviet spacecraft that spent 53 years in orbit before crashing back to Earth. Launched in 1972 on a mission to Venus, the spacecraft's uncontrolled descent raises concerns about space debris and its potential impact on Earth.

AI and Humanity's Future

Finally, we tackle the controversial topic of artificial intelligence and its potential risks to humanity. With AI evolving at an unprecedented pace, we examine the findings of a new study that assesses the likelihood of AI leading to human extinction. As science fiction warns of a future dominated by AI, we explore the reality of these threats and what they mean for our future.

www.spacetimewithstuartgary.com (https://www.spacetimewithstuartgary.com/)

✍️ Episode References

Science Advances

https://www.science.org/journal/sciadv (https://www.science.org/journal/sciadv)

Journal of the American Medical Association

https://jamanetwork.com/journals/jama (https://jamanetwork.com/journals/jama)

Become a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-space-astronomy--2458531/support (https://www.spreaker.com/podcast/spacetime-space-astronomy--2458531/support?utm_source=rss&utm_medium=rss&utm_campaign=rss) .

00:00 This is space time series 28, episode 57 for broadcast on 12 May 2025

00:54 Astronomers have discovered 15 giant radio galaxies each hosting a supermassive black hole

09:35 You're still learning about these galaxies

11:57 Now you, uh, mentioned starburst galaxies earlier. What are we seeing in elliptical galaxies when this happens

15:04 Foreign astronomers have discovered that the orbit of the moon Titan is changing quickly

18:49 A failed Soviet era spacecraft has crashed back to Earth

21:24 New study claims there's still little chance of artificial intelligence actually exterminating humanity

25:39 Using cannabis during pregnancy may increase risk of several adverse birth outcomes, study finds

Episode link: https://play.headliner.app/episode/27090753?utm_source=youtube

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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00:16:25 --> 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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00:28:42 --> 00:28:44 spacetime. And for more information,

00:28:44 --> 00:28:47 check out the links in our show notes.

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]

00:35:05 --> 00:35:08 and that's the show for now. Spaceime is

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