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Everyone knows we're a nation of animal lovers, | 0:00:03 | 0:00:06 | |
and there are no prizes for guessing which ones in particular | 0:00:06 | 0:00:09 | |
we're fond of - they are, of course, cats and dogs. | 0:00:09 | 0:00:13 | |
We're going to try and answer the question that | 0:00:13 | 0:00:15 | |
so frequently divides the nation and its animal lovers. | 0:00:15 | 0:00:20 | |
Simply put, which animal is best, a cat or a dog? | 0:00:20 | 0:00:23 | |
Now, it's not easy, but perhaps science will | 0:00:23 | 0:00:26 | |
once and for all settle this. | 0:00:26 | 0:00:29 | |
Over the next two programmes we're going to be revealing some | 0:00:29 | 0:00:32 | |
of the latest and most fascinating research from around the world. | 0:00:32 | 0:00:36 | |
I suspect you might not look at your pet in the same way ever again. | 0:00:36 | 0:00:39 | |
Mm-hm. And I'm coming down on the side of our canine companions. | 0:00:39 | 0:00:44 | |
Are you, now? And even though I'm a fan of both, I believe that cats | 0:00:44 | 0:00:47 | |
are the superior animals, Chris. | 0:00:47 | 0:00:49 | |
What can I say? Two sides. | 0:00:49 | 0:00:51 | |
And two shows in which to battle it out. | 0:00:51 | 0:00:54 | |
In Cats V Dogs, we're calling on the nation's pets | 0:00:55 | 0:00:58 | |
and their owners to help us decide which will be the winner. | 0:00:58 | 0:01:02 | |
Using ground-breaking science from around the globe we're pitting | 0:01:04 | 0:01:08 | |
our pets against each other | 0:01:08 | 0:01:10 | |
to compare the two species for the very first time. | 0:01:10 | 0:01:14 | |
Tonight they're going to be competing | 0:01:17 | 0:01:20 | |
in three distinct categories. | 0:01:20 | 0:01:22 | |
We'll be comparing their senses. | 0:01:23 | 0:01:25 | |
Their physical prowess. | 0:01:29 | 0:01:31 | |
And their brainpower. | 0:01:32 | 0:01:34 | |
(Yes!) | 0:01:34 | 0:01:36 | |
Let the battle begin. | 0:01:39 | 0:01:40 | |
We're basing ourselves here in Cambridgeshire, | 0:01:46 | 0:01:49 | |
at one of the country's leading veterinary referral clinics, | 0:01:49 | 0:01:53 | |
and it's one that specialises in cats and dogs. | 0:01:53 | 0:01:55 | |
We'll be working with an international team of consultants | 0:01:55 | 0:01:58 | |
to find a definitive answer to which is best - a cat or a dog? | 0:01:58 | 0:02:02 | |
Our first category is a real brainteaser. | 0:02:04 | 0:02:08 | |
Which of our pets is the most intelligent species? | 0:02:08 | 0:02:11 | |
Chris and I have already made up our minds, but we were keen to know | 0:02:19 | 0:02:22 | |
what YOU thought, so we commissioned a survey | 0:02:22 | 0:02:26 | |
of 1,000 people who own at least one cat AND one dog. | 0:02:26 | 0:02:30 | |
So, how intelligent do you think your cats and dogs are? | 0:02:33 | 0:02:38 | |
Well, in our survey of cat and dog owners, | 0:02:38 | 0:02:40 | |
we asked which they thought was the most intelligent animal. | 0:02:40 | 0:02:44 | |
29% said they thought the cat was the most intelligent animal, | 0:02:44 | 0:02:47 | |
leaving a whopping, whopping | 0:02:47 | 0:02:50 | |
58% saying they thought the dog was the more intelligent of the two. | 0:02:50 | 0:02:54 | |
-58%? -Yes. -That's not a WHOPPING amount, Chris. | 0:02:54 | 0:02:57 | |
Well, it's whopping bigger than 29. | 0:02:57 | 0:02:59 | |
Before we call on the scientist to settle this argument we've | 0:03:01 | 0:03:04 | |
collected a few clips from proud owners | 0:03:04 | 0:03:07 | |
showing off their clever cats and dogs. | 0:03:07 | 0:03:09 | |
Felines are fabulous at figuring things out. | 0:03:12 | 0:03:15 | |
But clever canines can do pretty much anything. | 0:03:21 | 0:03:25 | |
Good girl, Ella, go close the door. | 0:03:25 | 0:03:26 | |
Never mind feeding the dog - this dog makes YOU breakfast! | 0:03:29 | 0:03:33 | |
But cats help out afterwards. | 0:03:37 | 0:03:40 | |
And just look at this. | 0:03:40 | 0:03:42 | |
Good girl! Nice girl. | 0:03:45 | 0:03:48 | |
But dogs can be taught so many USEFUL skills. | 0:03:48 | 0:03:52 | |
Now, here's a hotshot. | 0:03:53 | 0:03:55 | |
OK, so they're both clever. But which one is the REAL brainiac? | 0:03:59 | 0:04:03 | |
I've come down here to the dog ward to meet Peggy. | 0:04:06 | 0:04:10 | |
And when I look into Peggy's eyes, I think | 0:04:10 | 0:04:13 | |
that I can see intelligence in there. | 0:04:13 | 0:04:16 | |
And to prove my point, I went off to one of the world's leading | 0:04:16 | 0:04:20 | |
animal intelligence research centres. | 0:04:20 | 0:04:23 | |
The Clever Dog Lab in Vienna. | 0:04:23 | 0:04:25 | |
In this seat of learning and culture, | 0:04:28 | 0:04:31 | |
even the dogs go to university! | 0:04:31 | 0:04:32 | |
CLASSICAL MUSIC PLAYS | 0:04:32 | 0:04:33 | |
Meet Luna, and she's been working here with | 0:04:37 | 0:04:39 | |
some ground-breaking research | 0:04:39 | 0:04:41 | |
where the scientists are looking at a dog's numerical abilities. | 0:04:41 | 0:04:46 | |
Husky Luna is one of the trained volunteers in the trials | 0:04:46 | 0:04:50 | |
created by Dr Friederike Range. | 0:04:50 | 0:04:52 | |
she's assessing one aspect of animal intelligence - | 0:04:52 | 0:04:57 | |
the ability to recognise numbers of objects. | 0:04:57 | 0:05:01 | |
Tell me about the equipment that you're using. How does this work? | 0:05:01 | 0:05:05 | |
So basically they have to touch with their nose one of the two screens, | 0:05:05 | 0:05:08 | |
and Luna has to go for the higher quantities. | 0:05:08 | 0:05:11 | |
So if she actually presses this side with her nose, she gets a reward. | 0:05:11 | 0:05:14 | |
However, if she presses the wrong one, she gets a time-out. | 0:05:17 | 0:05:20 | |
So she has to wait 30 seconds before she can do the next trial. | 0:05:21 | 0:05:25 | |
-OK, well, let's put Luna to the test, then. -Yes. | 0:05:25 | 0:05:29 | |
The first combinations of numbers are all ones that Luna has | 0:05:29 | 0:05:32 | |
been trained to recognise. | 0:05:32 | 0:05:34 | |
So is it three or one? | 0:05:36 | 0:05:38 | |
Hmm, no hesitation there. | 0:05:39 | 0:05:42 | |
How about four or one? | 0:05:42 | 0:05:44 | |
Another treat. | 0:05:44 | 0:05:47 | |
-At the moment she seems to be doing quite well. -That's promising, yes. | 0:05:47 | 0:05:50 | |
BEEP! BEEP! | 0:05:50 | 0:05:53 | |
And you're testing a range of breeds, I take it? | 0:05:55 | 0:05:57 | |
Yes. We've been testing up to 30 other dogs | 0:05:57 | 0:06:01 | |
and they all enjoy the task. | 0:06:01 | 0:06:03 | |
Luna scores nine out of twelve. | 0:06:06 | 0:06:09 | |
OK, well, this trial's come to an end, | 0:06:09 | 0:06:12 | |
-can we try the more difficult one? -Sure. | 0:06:12 | 0:06:15 | |
In the second test, the number of dots increases | 0:06:15 | 0:06:18 | |
and the combinations get closer together. | 0:06:18 | 0:06:20 | |
Even I'm struggling to tell them apart. | 0:06:23 | 0:06:25 | |
Friederike, this is definitely more difficult. | 0:06:25 | 0:06:27 | |
There were a lot more dots. | 0:06:27 | 0:06:29 | |
And she is struggling a bit. | 0:06:29 | 0:06:31 | |
Luna's really being pushed here. | 0:06:31 | 0:06:34 | |
As well as using screens she's been trained to recognise, Friederike's | 0:06:34 | 0:06:38 | |
mixing in some more totally new combinations to see if Luna can | 0:06:38 | 0:06:43 | |
take the principle which she seems to have learned, and then apply it. | 0:06:43 | 0:06:48 | |
A couple of times she's gone up | 0:06:48 | 0:06:50 | |
and it's almost like she's looked between the two screens. | 0:06:50 | 0:06:53 | |
As if she's double-checking. | 0:06:53 | 0:06:55 | |
It could mean that she's not sure about her choice. | 0:06:55 | 0:06:58 | |
Well, what's going on in her head - who knows? | 0:06:58 | 0:07:01 | |
We can't ask her, unfortunately. | 0:07:01 | 0:07:03 | |
With just two options there's always a 50% chance of | 0:07:03 | 0:07:06 | |
getting the right answer, so the success rate needs to be much | 0:07:06 | 0:07:10 | |
higher than that to prove any genuine ability. | 0:07:10 | 0:07:13 | |
OK, if you establish that they're scoring better than 50%, | 0:07:15 | 0:07:20 | |
would this allow us to infer that the dogs can actually count? | 0:07:20 | 0:07:24 | |
No. It's nothing to do with counting, really. | 0:07:24 | 0:07:27 | |
They can discriminate between different quantities. | 0:07:27 | 0:07:30 | |
OK, so they can't add a sequence of numbers | 0:07:30 | 0:07:33 | |
nor recognise higher or lower - | 0:07:33 | 0:07:35 | |
it's simply the difference visually between the different numbers? | 0:07:35 | 0:07:38 | |
It seems to me, yes. | 0:07:38 | 0:07:41 | |
Even in the second tougher test, Luna scores 60%. | 0:07:41 | 0:07:46 | |
Scientist believe that domestic dogs seem to have this numerical | 0:07:46 | 0:07:49 | |
intelligence due to their wild ancestry. | 0:07:49 | 0:07:52 | |
You see, they're descended from wolves, pack-living animals. | 0:07:54 | 0:07:58 | |
So, it would help if, when they met another pack, they could see | 0:07:58 | 0:08:03 | |
how many members it had, because sometimes they come into conflict. | 0:08:03 | 0:08:07 | |
And if you met up with a pack and there were 16, | 0:08:07 | 0:08:10 | |
and you only had six in yours, you might want to avoid that conflict. | 0:08:10 | 0:08:14 | |
For domestic dogs a lot of intelligence echoes down the | 0:08:27 | 0:08:31 | |
generations from their wild wolf ancestors. | 0:08:31 | 0:08:34 | |
These are grey wolves. | 0:08:39 | 0:08:42 | |
And potentially they are very dangerous animals. | 0:08:42 | 0:08:45 | |
Here are at the Wolf Science Center in Austria, grey wolves are | 0:08:46 | 0:08:50 | |
bred in captivity. | 0:08:50 | 0:08:52 | |
Now, these wolves shouldn't be that dangerous because they've | 0:08:52 | 0:08:55 | |
been hand-reared by the scientist here at this establishment. | 0:08:55 | 0:08:58 | |
That means of course that they are tame, | 0:08:58 | 0:09:01 | |
it doesn't mean that they are domesticated. | 0:09:01 | 0:09:03 | |
And the very fact that they're tame, | 0:09:03 | 0:09:06 | |
in that they have no fear of humans, can sometimes make them | 0:09:06 | 0:09:09 | |
just a little bit more dangerous than normal. | 0:09:09 | 0:09:12 | |
But we're about to find out. Cos I'm going in to meet them. | 0:09:12 | 0:09:15 | |
Domestic dogs share the ancestry and an incredible 99.96% | 0:09:18 | 0:09:24 | |
of their genes with wolves. | 0:09:24 | 0:09:26 | |
It's hard to imagine, but every single breed of domestic dog | 0:09:31 | 0:09:35 | |
that we've got, everything from Great Dane, Labrador, poodle, | 0:09:35 | 0:09:39 | |
down to Chihuahua, is actually related to these grey wolves. | 0:09:39 | 0:09:44 | |
Wolves are very smart operators. | 0:09:49 | 0:09:52 | |
They've worked out the power of the pack. | 0:09:52 | 0:09:56 | |
They live in complex social groups and they are supreme hunters. | 0:09:56 | 0:10:00 | |
Using intelligent teamwork they hunt animals much larger than | 0:10:01 | 0:10:05 | |
themselves, chasing them down over long distances. | 0:10:05 | 0:10:08 | |
It was the similar behaviour, | 0:10:10 | 0:10:12 | |
all of those tens of thousands of years ago, | 0:10:12 | 0:10:15 | |
between our early hunter-gatherer ancestors | 0:10:15 | 0:10:18 | |
and the pack-hunting behaviour of wolves, that brought us together. | 0:10:18 | 0:10:22 | |
And started the process that's ended up with the dog | 0:10:22 | 0:10:26 | |
living alongside you now. | 0:10:26 | 0:10:27 | |
It's all gone, mate, it's all gone. Just the fingers left. | 0:10:29 | 0:10:33 | |
Our pet dogs may not need to go hunting, but their social skills | 0:10:37 | 0:10:41 | |
and intelligence are the legacy of the wolf. | 0:10:41 | 0:10:44 | |
So what about cats? How will they do in an intelligence test? | 0:10:52 | 0:10:57 | |
Now, our dogs' numerical skills | 0:10:57 | 0:11:00 | |
are clearly very impressive, | 0:11:00 | 0:11:03 | |
but when it comes to comparing them to cats, we have a slight problem. | 0:11:03 | 0:11:07 | |
Cats are notoriously difficult to train. | 0:11:07 | 0:11:10 | |
And there's a good reason for this. | 0:11:10 | 0:11:12 | |
Cats haven't been bred for thousands of years to obey our every command. | 0:11:12 | 0:11:16 | |
But, one group of dedicated scientists have taken up | 0:11:16 | 0:11:19 | |
the cat numerical challenge. | 0:11:19 | 0:11:21 | |
MEOW! | 0:11:21 | 0:11:23 | |
To find out what cats are capable of, I've come to the UK's foremost | 0:11:23 | 0:11:28 | |
pet behaviour research centre at Lincoln University. | 0:11:28 | 0:11:32 | |
And as with all the tests in the series, none of our pets | 0:11:32 | 0:11:36 | |
came to any harm during filming. | 0:11:36 | 0:11:37 | |
So this is Pixie, she's one of the cats who's been trained up | 0:11:40 | 0:11:43 | |
in preparation for studies about numerical discrimination in cats. | 0:11:43 | 0:11:49 | |
And today, for the first time, she's going to be put to the test. | 0:11:49 | 0:11:53 | |
Professor Daniel Mills and his team have designed a less hi-tech | 0:11:53 | 0:11:57 | |
version of the task Luna the dog did in Vienna. | 0:11:57 | 0:12:02 | |
They've been training Pixie to discriminate between four and one. | 0:12:02 | 0:12:05 | |
-So we have two magnetic boards. -Yep. | 0:12:06 | 0:12:09 | |
-Four objects here and one object there. -Yes. | 0:12:09 | 0:12:11 | |
And the cat's been trained in order to always pick the larger number. | 0:12:11 | 0:12:14 | |
OK. | 0:12:14 | 0:12:16 | |
Research assistant Kate is at the ready with rewards. | 0:12:16 | 0:12:21 | |
While Nadia wears a blindfold to ensure she doesn't give away | 0:12:21 | 0:12:24 | |
any physical cues to Pixie. | 0:12:24 | 0:12:26 | |
Release. | 0:12:26 | 0:12:28 | |
Excellent. So she's picked the four over the one. | 0:12:31 | 0:12:35 | |
If we can get set up for the next trial. | 0:12:35 | 0:12:37 | |
The numbers are swapped for round two. | 0:12:37 | 0:12:40 | |
Go. | 0:12:40 | 0:12:41 | |
-Good, very good. -Yes, well done. | 0:12:41 | 0:12:44 | |
Can Pixie make it three out of three? | 0:12:44 | 0:12:47 | |
Release. | 0:12:47 | 0:12:49 | |
-Excellent. -She can. | 0:12:49 | 0:12:51 | |
Can this still be chance or is this looking like she knows | 0:12:51 | 0:12:53 | |
-what she's doing? -Looking good. | 0:12:53 | 0:12:57 | |
And release. | 0:12:57 | 0:12:58 | |
Error. | 0:13:00 | 0:13:02 | |
No treat this time. And the fifth and final test. | 0:13:02 | 0:13:07 | |
Yes. | 0:13:07 | 0:13:09 | |
That's four out of five. | 0:13:09 | 0:13:11 | |
That was great, | 0:13:11 | 0:13:13 | |
it does look like Pixie's been well trained to recognise a larger number | 0:13:13 | 0:13:16 | |
from a smaller number, but, of course, | 0:13:16 | 0:13:18 | |
-now is the crucial part, isn't it? -Yes. | 0:13:18 | 0:13:21 | |
Cos she's only been tested on the ones that she's learnt about. | 0:13:21 | 0:13:24 | |
So now we're gonna drop in some new number combinations that she's not | 0:13:24 | 0:13:27 | |
had before. So we're going to go with six and three. | 0:13:27 | 0:13:29 | |
So can Pixie apply what she seems to have learned so far, | 0:13:29 | 0:13:33 | |
and identify the bigger number? | 0:13:33 | 0:13:36 | |
OK, go. | 0:13:36 | 0:13:37 | |
Well done, Pixie. | 0:13:40 | 0:13:41 | |
She's on a roll. | 0:13:44 | 0:13:46 | |
And the third time... | 0:13:46 | 0:13:47 | |
Oh, it's a fail. | 0:13:49 | 0:13:50 | |
You can't get it every time. | 0:13:50 | 0:13:52 | |
Why not? She's a cat, come on! | 0:13:52 | 0:13:54 | |
It's not long before Pixie's had enough. | 0:13:54 | 0:13:57 | |
She won't be persuaded to carry on... | 0:13:57 | 0:14:00 | |
..proving how much more difficult it is to train a cat. | 0:14:02 | 0:14:05 | |
You know, dogs live with us, they constantly focus on us, | 0:14:08 | 0:14:11 | |
they're keen to engage, whereas cats, anyone who owns a cat | 0:14:11 | 0:14:14 | |
knows that the cat likes to be in control and do its own thing. | 0:14:14 | 0:14:18 | |
This is pretty extraordinary. Pixie does seem to be able to | 0:14:18 | 0:14:22 | |
discriminate greater quantities from smaller ones, but does this mean | 0:14:22 | 0:14:26 | |
that she can count? | 0:14:26 | 0:14:29 | |
People have suggested that perhaps cats need to count in order to count | 0:14:29 | 0:14:32 | |
how many kittens they've got to check they haven't left one behind. | 0:14:32 | 0:14:35 | |
But actually, now we know that they've got individual | 0:14:35 | 0:14:38 | |
recognition of their kittens, | 0:14:38 | 0:14:39 | |
I don't have to count how many kittens I've got - | 0:14:39 | 0:14:42 | |
-I need to know I've got you and you. -I can smell you, | 0:14:42 | 0:14:44 | |
I can recognise your meowing, I know what's going on. | 0:14:44 | 0:14:46 | |
So actually that negates the need, perhaps, to count. | 0:14:46 | 0:14:49 | |
I wouldn't be surprised if they have some concept, | 0:14:49 | 0:14:52 | |
but when does a cat ever need to count up to ten? | 0:14:52 | 0:14:54 | |
I think we have to say that | 0:15:03 | 0:15:05 | |
when it comes to the numbers game, the dogs have nailed it. | 0:15:05 | 0:15:08 | |
It does look like that, doesn't it? | 0:15:08 | 0:15:10 | |
But there are clear evolutionary reasons as to why cats may not have | 0:15:10 | 0:15:13 | |
needed to evolve this particular type of numerical intelligence. | 0:15:13 | 0:15:17 | |
For one thing, they're solitary animals. | 0:15:17 | 0:15:19 | |
They seek out lone prey, and we're very much behind with cat studies, | 0:15:19 | 0:15:23 | |
and what's becoming clear is that one testing method may not work | 0:15:23 | 0:15:26 | |
for two different species, and it's something that science | 0:15:26 | 0:15:29 | |
will be looking at more closely in the future. | 0:15:29 | 0:15:32 | |
To begin to understand the way a cat thinks, we need to go back | 0:15:34 | 0:15:39 | |
to their wild beginnings. | 0:15:39 | 0:15:40 | |
This cat might look like your average pet tabby, | 0:15:47 | 0:15:50 | |
but it is, in fact, an Arabian Wildcat. | 0:15:50 | 0:15:53 | |
Powerful, fiercely combative and a supreme predator. | 0:15:53 | 0:15:57 | |
It's thought there are as many as five subspecies of wildcat, | 0:15:59 | 0:16:02 | |
but DNA analysis shows that all of our domestic cats | 0:16:02 | 0:16:06 | |
are descended from this guy. | 0:16:06 | 0:16:08 | |
And our modern descendants of these mighty moggies have retained | 0:16:10 | 0:16:14 | |
many of the same traits. | 0:16:14 | 0:16:16 | |
Arabian Wildcats are solitary animals with large | 0:16:18 | 0:16:21 | |
territories measuring several square miles. They only come | 0:16:21 | 0:16:25 | |
together to mate and the female will raise her offspring alone. | 0:16:25 | 0:16:28 | |
Cats are highly intelligent lone survivors, | 0:16:30 | 0:16:33 | |
brilliant at figuring out how to capture their prey. | 0:16:33 | 0:16:36 | |
They are formidable hunters. | 0:16:38 | 0:16:40 | |
They hunt mainly at night and they are ambush predators, | 0:16:40 | 0:16:43 | |
which means they'll stalk up to their prey | 0:16:43 | 0:16:45 | |
and get as close as they possibly can and then they'll pounce. | 0:16:45 | 0:16:49 | |
Many of our well-fed pet cats still like to hunt, proving they're | 0:16:51 | 0:16:56 | |
not that far removed from their wild ancestors. | 0:16:56 | 0:16:59 | |
CAT HISSES | 0:16:59 | 0:17:01 | |
DOGS BARK AND WHIMPER | 0:17:06 | 0:17:07 | |
OK, both cats and dogs are clearly intelligent. | 0:17:09 | 0:17:13 | |
They've worked out how to survive in the wild | 0:17:13 | 0:17:16 | |
and learn to live alongside each other, as well as us humans, | 0:17:16 | 0:17:20 | |
but which of these two animals is the smartest overall? | 0:17:20 | 0:17:24 | |
Here at the clinic I'm going to pick the brains of the big boss, | 0:17:24 | 0:17:28 | |
senior consultant Dick White. | 0:17:28 | 0:17:30 | |
-Dick, very nice to meet you. -Hi, Chris. | 0:17:30 | 0:17:32 | |
I've got to get to the bottom of this dog and cat brain issue. | 0:17:32 | 0:17:36 | |
But before we do, there's no bias - | 0:17:36 | 0:17:38 | |
you like each animal an equal fashion, I presume? | 0:17:38 | 0:17:40 | |
I pretend to like each equally but I have one cat | 0:17:40 | 0:17:43 | |
-and seven or eight dogs, so... -Oh, OK. | 0:17:43 | 0:17:45 | |
-There probably is a little bit of bias there. -Well, let's not mention that. | 0:17:45 | 0:17:48 | |
-No, we won't. -Let's go straight to the brains, then. | 0:17:48 | 0:17:51 | |
OK, here we have a model of a cat's brain. | 0:17:51 | 0:17:54 | |
And we think that the average cat's brain has | 0:17:54 | 0:17:57 | |
a volume of around about 25cc. | 0:17:57 | 0:18:00 | |
The dog, on the other hand, does somewhat better, | 0:18:00 | 0:18:03 | |
has a slightly larger brain, and the average dog has a brain - | 0:18:03 | 0:18:07 | |
this is a medium-sized dog - has a brain of around about 64cc. | 0:18:07 | 0:18:12 | |
So dogs' brains are somewhat bigger than cats. | 0:18:12 | 0:18:15 | |
But that doesn't necessarily mean they're in any way more intelligent, | 0:18:15 | 0:18:18 | |
-of course, does it? -No, sheer volume is not necessarily a good indicator, | 0:18:18 | 0:18:22 | |
so we use something called an encephalization quotient, | 0:18:22 | 0:18:26 | |
or an EQ, and that gives us a ratio of the relative | 0:18:26 | 0:18:31 | |
size of the brain to the weight of the animal. | 0:18:31 | 0:18:34 | |
Dogs have an EQ of around about 1.2 | 0:18:34 | 0:18:38 | |
and cats have an EQ slightly less, of around about 1. | 0:18:38 | 0:18:43 | |
So that means if you compared a cat-sized dog with a cat, | 0:18:43 | 0:18:48 | |
it still has a brain which is roughly 20% bigger than the cat. | 0:18:48 | 0:18:53 | |
-The dog has the bigger brain? -The dog has the bigger brain. Yes. | 0:18:53 | 0:18:56 | |
OK. What's going on in the brain, though? | 0:18:56 | 0:18:59 | |
Well, although the EQ is a good indication of intelligence, | 0:18:59 | 0:19:03 | |
it's still more complex than that. | 0:19:03 | 0:19:05 | |
And we need to look at the number of neurons in the cortex, which is | 0:19:05 | 0:19:10 | |
the front part of the brain. | 0:19:10 | 0:19:12 | |
And in the cat, we estimate | 0:19:12 | 0:19:15 | |
they have around about 300 million cortical neurons. | 0:19:15 | 0:19:20 | |
Whereas in the dog, and this is fairly recent work in | 0:19:20 | 0:19:24 | |
Golden Retrievers, it's hot off the press, the average dog has around | 0:19:24 | 0:19:29 | |
about 600 million cortical neurons, so roughly twice as many as the cat. | 0:19:29 | 0:19:33 | |
So it suggests that they ought to be twice as intelligent as the cat. | 0:19:33 | 0:19:37 | |
OK. So relative to body size, | 0:19:37 | 0:19:39 | |
a larger brain, also a more complex one, | 0:19:39 | 0:19:42 | |
and therefore potentially more intelligent. | 0:19:42 | 0:19:45 | |
I knew it. | 0:19:45 | 0:19:46 | |
In our survey, 58% of you agreed with me that dogs | 0:19:46 | 0:19:52 | |
would win on intelligence - and we were right. | 0:19:52 | 0:19:55 | |
Canines are officially top dog. | 0:19:55 | 0:19:57 | |
I'm still not convinced that dogs are more intelligent than cats. | 0:20:01 | 0:20:05 | |
Are you? | 0:20:05 | 0:20:07 | |
Time for the next round in our epic battle between cats and dogs. | 0:20:08 | 0:20:13 | |
We move on to comparing their sensory powers. | 0:20:13 | 0:20:16 | |
Survival of the fittest isn't just about brain power. | 0:20:21 | 0:20:25 | |
Physical and physiological capabilities also play a huge | 0:20:25 | 0:20:28 | |
role in the success of a species. | 0:20:28 | 0:20:30 | |
They need finely tuned senses. | 0:20:30 | 0:20:33 | |
Their sense of smell, hearing and sight are absolutely essential | 0:20:33 | 0:20:37 | |
when it comes to their survival. | 0:20:37 | 0:20:38 | |
Indeed, so let's start with sight. Cats are excellent at night vision. | 0:20:38 | 0:20:42 | |
But I wanted find out just how much better | 0:20:42 | 0:20:45 | |
cats are at seeing in the dark than dogs. | 0:20:45 | 0:20:47 | |
So, as night falls, I meet up with the Royal Veterinary College's | 0:20:51 | 0:20:54 | |
senior ophthalmologist, Dr Rick Sanchez. | 0:20:54 | 0:20:58 | |
He's going to put both species through the maze test. | 0:20:58 | 0:21:02 | |
-Hi, Rick. -Hi, there. | 0:21:04 | 0:21:05 | |
So this is it, this is our maze? | 0:21:05 | 0:21:08 | |
This is the maze. OK, so how is this going to work? | 0:21:08 | 0:21:11 | |
Well, as you can see there are obstacles here, | 0:21:11 | 0:21:13 | |
which can be moved and can be changed, and so the idea | 0:21:13 | 0:21:16 | |
is for the animal to walk through, around all the obstacles | 0:21:16 | 0:21:19 | |
and go to the end, where they're going to have a little bit | 0:21:19 | 0:21:22 | |
of a food reward. Of course, it's going to be pitch-black in here. | 0:21:22 | 0:21:26 | |
It will be completely dark. | 0:21:26 | 0:21:28 | |
'All we need now is a couple of intrepid volunteers.' | 0:21:28 | 0:21:33 | |
So this is Edupus, this is Fen, | 0:21:33 | 0:21:35 | |
and they're going to be a guinea pigs for our little experiment. | 0:21:35 | 0:21:38 | |
Aren't you? | 0:21:38 | 0:21:40 | |
Yes, you are. | 0:21:40 | 0:21:42 | |
So who will be the fastest through the maze? | 0:21:42 | 0:21:46 | |
Let's turn off the lights. | 0:21:46 | 0:21:48 | |
Owner Dale's at the starting line with Fen. | 0:21:48 | 0:21:51 | |
Fen! | 0:21:51 | 0:21:52 | |
Her daughter Mimi is in charge of summoning Fen to the finish line. | 0:21:52 | 0:21:56 | |
Go on, Fen, in the maze, in the maze. | 0:21:56 | 0:21:58 | |
Fen, Fen! | 0:21:58 | 0:22:00 | |
It really is pitch-black in here. | 0:22:00 | 0:22:02 | |
But we're using night-vision cameras. | 0:22:02 | 0:22:04 | |
Come on. Turn, oh, oh. Oh, confusing. | 0:22:05 | 0:22:09 | |
-Fen, Fen. -Come on, Fen, come on. Now she's seen it. | 0:22:09 | 0:22:12 | |
-Yes, that's good. Yes, she's... -Oh, look, look, look. | 0:22:12 | 0:22:15 | |
-'Oh, she's turning around.' -She's confused. | 0:22:15 | 0:22:18 | |
She's not, she's not comfortable so she's going back to where she knows. | 0:22:18 | 0:22:21 | |
-Come on, Fen, come on. -Fen, Fen! | 0:22:21 | 0:22:24 | |
Fen is at an advantage here. | 0:22:24 | 0:22:26 | |
A dog's night vision is five times better than ours. | 0:22:26 | 0:22:30 | |
But I'm not sure if Fen realises that. | 0:22:30 | 0:22:33 | |
Well, I think that shows | 0:22:33 | 0:22:34 | |
that she's not comfortable... She's trying to... | 0:22:34 | 0:22:37 | |
I want her to do it, though. There you go. | 0:22:37 | 0:22:39 | |
-Oh, there we go! -Come on! | 0:22:39 | 0:22:41 | |
Good girl! | 0:22:41 | 0:22:42 | |
'So there's now 43 seconds to beat.' | 0:22:42 | 0:22:45 | |
Well done, let's bring in the cat. | 0:22:45 | 0:22:47 | |
How will Edupus get on? | 0:22:47 | 0:22:49 | |
OK so there's... | 0:22:52 | 0:22:54 | |
Smooth as. Smooth as. | 0:22:56 | 0:22:58 | |
Good boy! | 0:22:58 | 0:22:59 | |
-That's very fast. -Smooth. No hesitation. -No hesitation. | 0:22:59 | 0:23:02 | |
As if it was broad daylight. | 0:23:02 | 0:23:04 | |
'And done in eight seconds. He is the clear winner. | 0:23:04 | 0:23:08 | |
To be sure it wasn't a one-off, we move the obstacles around in | 0:23:08 | 0:23:11 | |
the maze and run the test again. | 0:23:11 | 0:23:13 | |
The results are the same each time. | 0:23:13 | 0:23:16 | |
So why are cats so successful? | 0:23:20 | 0:23:24 | |
They both have something in the back of the eye called | 0:23:24 | 0:23:27 | |
the tapetum, which is a reflective layer. | 0:23:27 | 0:23:30 | |
I have a torch here and if you shine a light into their eyes | 0:23:30 | 0:23:33 | |
from a distance, you should be able to see that the cat's eyes | 0:23:33 | 0:23:36 | |
are a lot more reflective. | 0:23:36 | 0:23:38 | |
Obviously a lot more reflective than the dog's eyes should be. | 0:23:38 | 0:23:41 | |
-OK, let me turn off the lights. -You want to try? -We'll check this out. | 0:23:41 | 0:23:44 | |
OK, let's take a look. | 0:23:44 | 0:23:47 | |
Can you see it? | 0:23:47 | 0:23:48 | |
Oh, it's amazing. | 0:23:48 | 0:23:50 | |
The tapetum in the cat, it has about 20 layers. | 0:23:50 | 0:23:54 | |
And the dog's is a bit thinner than that. | 0:23:54 | 0:23:56 | |
It's up to ten layers. | 0:23:56 | 0:23:58 | |
Cats have tiny little cells in the tapetum with reflective | 0:23:58 | 0:24:02 | |
material that is not only tightly packed, but is oriented | 0:24:02 | 0:24:07 | |
in such a way that it reflects light a lot more efficiently than the dog. | 0:24:07 | 0:24:12 | |
The more light that you're able to reflect, | 0:24:12 | 0:24:15 | |
the better you can see at night. | 0:24:15 | 0:24:17 | |
So, when it comes to seeing in the dark, the crown goes to these | 0:24:19 | 0:24:24 | |
supreme night prowlers. | 0:24:24 | 0:24:26 | |
Cats are nocturnal predators. | 0:24:31 | 0:24:34 | |
The animals they hunt tend to come out at night, which is why | 0:24:34 | 0:24:37 | |
they're so good at seeing in the dark. | 0:24:37 | 0:24:40 | |
What's more, cats' eyes are supremely adapted for following | 0:24:40 | 0:24:44 | |
very fast-moving prey - take a look at this. | 0:24:44 | 0:24:46 | |
It's the old trick - which cup is the ball under? | 0:24:52 | 0:24:56 | |
Four. OK? | 0:24:56 | 0:24:59 | |
Watch very closely - Kedo, the cat, is. | 0:24:59 | 0:25:03 | |
He never seems to get it wrong. | 0:25:05 | 0:25:07 | |
So there's no doubt that when it comes to vision, cats win. | 0:25:09 | 0:25:13 | |
So, come on, Chris, you can't disagree with that. | 0:25:16 | 0:25:18 | |
Both animals may benefit from the way they see the world, | 0:25:18 | 0:25:22 | |
but cats take the trophy. | 0:25:22 | 0:25:23 | |
OK. I concede that cats - by a short whisker - take the trophy. | 0:25:23 | 0:25:28 | |
But there is one sense that everyone knows, yourself included, | 0:25:28 | 0:25:31 | |
where dogs absolutely triumph - and that is smell. | 0:25:31 | 0:25:34 | |
I've come to Manchester city centre to meet a sniffer dog | 0:25:38 | 0:25:42 | |
with a spectacular sense of smell. | 0:25:42 | 0:25:44 | |
-Steve. -Hi. -How do you do? -I'm fine, thanks. | 0:25:44 | 0:25:47 | |
-And this is Boris. -This is Boris. | 0:25:47 | 0:25:48 | |
I've heard a lot about Boris. Tell me a bit about him yourself. | 0:25:48 | 0:25:51 | |
Boris is a search dog with mountain rescue. | 0:25:51 | 0:25:54 | |
-Good nose, then? -Very good, yes. | 0:25:54 | 0:25:56 | |
I'm going to set Steve and Boris a really tricky challenge today. | 0:25:57 | 0:26:01 | |
And I'm going to scoot off through the city, | 0:26:01 | 0:26:04 | |
I'm going to run about a mile away, and you've got to try and track me. | 0:26:04 | 0:26:07 | |
I've got a couple of smelly clues for you. | 0:26:07 | 0:26:09 | |
I've got a T-shirt I was wearing yesterday, | 0:26:09 | 0:26:11 | |
and I've got a really skanky pillow case, plenty of scent there, I hope. | 0:26:11 | 0:26:15 | |
This is urban tracking at its most extreme. | 0:26:17 | 0:26:20 | |
There are thousands of smells vying for air space here. | 0:26:20 | 0:26:24 | |
So how on earth is he going to pinpoint just one - mine? | 0:26:24 | 0:26:28 | |
Just look at this. | 0:26:29 | 0:26:31 | |
There must be at least 300 people, | 0:26:31 | 0:26:35 | |
and by the time that Boris gets here there would have been another | 0:26:35 | 0:26:37 | |
600, 900, 1,000 people. | 0:26:37 | 0:26:40 | |
'And, I'm going to make it even harder for Boris.' | 0:26:45 | 0:26:48 | |
I've got an idea. | 0:26:48 | 0:26:50 | |
Just watch this - I'm going to set him a dummy. | 0:26:50 | 0:26:53 | |
Yes, for my first trick I double back down a side street. | 0:26:55 | 0:26:59 | |
Hehehe! That'll get him! | 0:27:00 | 0:27:02 | |
I'm going to wash away my scent. | 0:27:04 | 0:27:06 | |
And this is perfect. | 0:27:23 | 0:27:25 | |
A street market teeming with vats of pungent foods. | 0:27:25 | 0:27:29 | |
It's a complete sensual onslaught. | 0:27:29 | 0:27:32 | |
How can he not be distracted by all of these smells? | 0:27:32 | 0:27:36 | |
There's every food smell you can imagine. From all over the world. | 0:27:36 | 0:27:40 | |
I've just thought of another idea. | 0:27:42 | 0:27:44 | |
What I'm going to do here is I'm going to loop around this building | 0:27:44 | 0:27:48 | |
and then come back across my own trail. | 0:27:48 | 0:27:51 | |
What's he going to do about that, then? | 0:27:51 | 0:27:55 | |
I think that's far enough. | 0:27:55 | 0:27:57 | |
There's plenty of smells, a few tricks and thousands | 0:27:57 | 0:28:00 | |
and thousands of people. | 0:28:00 | 0:28:02 | |
So let's just see how Boris's nose can do. | 0:28:02 | 0:28:05 | |
Right, I'm just gonna now introduce the scent from the T-shirt to Boris. | 0:28:12 | 0:28:16 | |
Find the smell. Where's the smell? | 0:28:16 | 0:28:18 | |
Boris is wearing a GPS transmitter and I'll be tracking his | 0:28:18 | 0:28:22 | |
progress every sniff of the way from my coffee shop hideout. | 0:28:22 | 0:28:26 | |
Here's the route I took - let's see if he can follow it, | 0:28:28 | 0:28:32 | |
and then find me. | 0:28:32 | 0:28:34 | |
He's made the first right decision, | 0:28:35 | 0:28:37 | |
and he's going at quite a pace, I can tell you. | 0:28:37 | 0:28:40 | |
Find him out. | 0:28:40 | 0:28:42 | |
The interesting thing is, he's going in the right direction but | 0:28:42 | 0:28:45 | |
he's on the different side of the street than I was on. | 0:28:45 | 0:28:47 | |
He's just coming up to the point now where he's gonna have to turn left. | 0:28:47 | 0:28:51 | |
He's done it. | 0:28:54 | 0:28:56 | |
Find him out. | 0:28:56 | 0:28:57 | |
Now he's just got to that bit where I played that little trick, | 0:28:57 | 0:29:00 | |
when I went down the street and came back out again. | 0:29:00 | 0:29:03 | |
Well, that didn't work, did it? He just charged straight across. | 0:29:07 | 0:29:11 | |
Find him out. | 0:29:11 | 0:29:13 | |
This'll be an interesting bit. | 0:29:13 | 0:29:14 | |
This is where he's going to get up to where I tried to wash my scent away. | 0:29:14 | 0:29:19 | |
He didn't even slow up. | 0:29:23 | 0:29:24 | |
This is the bit where I jumped on the benches. | 0:29:25 | 0:29:28 | |
Find him. | 0:29:28 | 0:29:30 | |
He didn't even bother to look at 'em! | 0:29:30 | 0:29:32 | |
Boris, wait. | 0:29:32 | 0:29:33 | |
Oh, he's having a re-sniff. | 0:29:33 | 0:29:36 | |
Find him out. | 0:29:36 | 0:29:37 | |
He's about halfway round the course now. | 0:29:37 | 0:29:40 | |
And he's bang on target. | 0:29:40 | 0:29:42 | |
I imagined that he would be sniffing the ground, following exactly | 0:29:44 | 0:29:48 | |
where I'd put my feet. But he's not doing that, | 0:29:48 | 0:29:52 | |
he's smelling the general course of where I'm going. | 0:29:52 | 0:29:54 | |
He's gone around the outside of that food market, not through the centre. | 0:29:58 | 0:30:02 | |
It's almost as if he's decided he doesn't want to be tempted | 0:30:02 | 0:30:06 | |
by the smell of sausages or anything else, he's bypassed that altogether. | 0:30:06 | 0:30:10 | |
OK, this is the spot where I looped around that block and | 0:30:14 | 0:30:17 | |
crossed my own trail. But he's not done that at all. | 0:30:17 | 0:30:21 | |
In fact, he's crossed the road even before that point. | 0:30:21 | 0:30:24 | |
Perhaps he's picking up on the fresher scent. | 0:30:24 | 0:30:27 | |
Find him out. | 0:30:27 | 0:30:29 | |
He's about a 100 metres away. | 0:30:29 | 0:30:31 | |
Come on, Boris, where is it? | 0:30:31 | 0:30:33 | |
He's almost on me. That took just over ten minutes. | 0:30:33 | 0:30:39 | |
What can I say?! What can I say?! Oh, Boris, honestly. | 0:30:39 | 0:30:44 | |
So, Steve, what is it about my smell, | 0:30:44 | 0:30:46 | |
anyone's smell, which is unique enough for him to be able to follow? | 0:30:46 | 0:30:50 | |
Well, the science behind it is the scent is produced | 0:30:50 | 0:30:53 | |
from dead skin cells. | 0:30:53 | 0:30:54 | |
As they die, they come off the body and then the bacteria that | 0:30:54 | 0:30:58 | |
works on them creates the scent that is unique to you. | 0:30:58 | 0:31:01 | |
That's why he wasn't following my exact footprints, | 0:31:03 | 0:31:06 | |
he wasn't interested in that - he was interested in this plume | 0:31:06 | 0:31:09 | |
of deteriorating skin cells | 0:31:09 | 0:31:10 | |
that were blowing around in the environment? | 0:31:10 | 0:31:13 | |
Yes, that's how he's able to track you. | 0:31:13 | 0:31:15 | |
It's the scent coming up that's left that trail | 0:31:15 | 0:31:17 | |
-through the city. -And how long would my trail last out there? | 0:31:17 | 0:31:21 | |
I mean, you started following me after about 40 minutes. | 0:31:21 | 0:31:23 | |
But, could you have done that, I don't know, ten hours, | 0:31:23 | 0:31:26 | |
-12 hours later? -Yes, Boris has worked at trails at lengths | 0:31:26 | 0:31:31 | |
of 12, 24 and 72 hours. | 0:31:31 | 0:31:32 | |
The key factor will be the environmental conditions. | 0:31:32 | 0:31:35 | |
Wind, rain will affect the length of that trail will be viable. | 0:31:35 | 0:31:40 | |
Good boy. | 0:31:41 | 0:31:43 | |
'Remarkable. And the reason why dogs can track scent so well | 0:31:43 | 0:31:47 | |
'is because of what's going on inside their noses.' | 0:31:47 | 0:31:50 | |
These are images of a CT scan of a dog's nose. | 0:31:52 | 0:31:56 | |
That's amazing. | 0:31:56 | 0:31:58 | |
'Surgeon Pieter Nelissen is giving me a guided tour | 0:31:58 | 0:32:01 | |
'of the olfactory epithelium - folded layers of tissue | 0:32:01 | 0:32:05 | |
'covered in smell receptors.' | 0:32:05 | 0:32:07 | |
This is were it gets interesting, this is where we see all | 0:32:07 | 0:32:10 | |
the different scrolls that form the nose. | 0:32:10 | 0:32:13 | |
'If these scrolls were unravelled, their surface area would measure | 0:32:13 | 0:32:17 | |
'90cm squared. | 0:32:17 | 0:32:19 | |
'30 times bigger than a human's.' | 0:32:19 | 0:32:21 | |
Is it all about maximising the surface area to fit as many | 0:32:23 | 0:32:27 | |
smell receptors on there? | 0:32:27 | 0:32:28 | |
That's exactly what it is. | 0:32:28 | 0:32:30 | |
Dogs use their smell for pretty much everything | 0:32:30 | 0:32:32 | |
and they've got about 150 million smell receptors. | 0:32:32 | 0:32:36 | |
So OK, there's no question, they're excellent at smelling, | 0:32:36 | 0:32:39 | |
but I want to see how the cat compares. | 0:32:39 | 0:32:42 | |
If we scroll through an image of the cat, we immediately see that it | 0:32:42 | 0:32:46 | |
is a lot less compact, they've got 20cm squared and... | 0:32:46 | 0:32:51 | |
As opposed to 90... | 0:32:51 | 0:32:53 | |
As opposed to 90, and there are a lot less receptors within the cat. | 0:32:53 | 0:32:58 | |
Only 60 million of receptors. | 0:32:58 | 0:33:02 | |
'And dogs have another big advantage. | 0:33:02 | 0:33:05 | |
'The area of their brain dedicated to smell is relatively much larger.' | 0:33:05 | 0:33:10 | |
So the brain is able to process that smell more effectively as well? | 0:33:10 | 0:33:14 | |
-Yes, that's correct. -I'm very depressed about that information. | 0:33:14 | 0:33:17 | |
I don't want to tell Chris. | 0:33:17 | 0:33:19 | |
'But it's not over yet in this battle.' | 0:33:19 | 0:33:22 | |
See a tiny little opening | 0:33:22 | 0:33:24 | |
between the hard palate and the incisive bone. | 0:33:24 | 0:33:28 | |
'This is a cat's vomeronasal organ. | 0:33:28 | 0:33:32 | |
'It analyses chemical messages in the scent marks left by other cats.' | 0:33:32 | 0:33:36 | |
Cats use it specifically to communicate with other cats, | 0:33:36 | 0:33:40 | |
it's all to do with pheromones, | 0:33:40 | 0:33:42 | |
and they will have an idea where there are other cats in the area, | 0:33:42 | 0:33:46 | |
either to stay away from them or to interact with them directly. | 0:33:46 | 0:33:51 | |
See, I'm hugely impressed with that. Do dogs have vomeronasal organs? | 0:33:51 | 0:33:55 | |
Dogs do have it but it is less-developed compared to cats. | 0:33:55 | 0:33:59 | |
It's much more crude. | 0:33:59 | 0:34:01 | |
So OK, they win hands down when it comes to this much more | 0:34:01 | 0:34:03 | |
sophisticated way of gaining information about the world | 0:34:03 | 0:34:07 | |
-around them. -Absolutely, it's not just smell. | 0:34:07 | 0:34:10 | |
Ah, interesting stuff, so what cats lack in smell receptors | 0:34:10 | 0:34:13 | |
and area of epithelium, they make up for with this incredible ability. | 0:34:13 | 0:34:19 | |
Yep, of course - nice try, Liz. | 0:34:19 | 0:34:21 | |
But everyone knows that when it comes to the nose, dogs come | 0:34:21 | 0:34:24 | |
up smelling of, er, roses. | 0:34:24 | 0:34:26 | |
And that leaves us with our last sensory head-to-head - hearing. | 0:34:29 | 0:34:32 | |
And for my money, this is going to be the most difficult. | 0:34:32 | 0:34:35 | |
So we asked our survey participants. | 0:34:35 | 0:34:37 | |
25% | 0:34:37 | 0:34:39 | |
said they thought that cats had better hearing. | 0:34:39 | 0:34:42 | |
And 61% said that they thought it was dogs. | 0:34:42 | 0:34:46 | |
Anyone who owns a dog knows that they'll prick up their ears | 0:34:46 | 0:34:50 | |
at almost anything. | 0:34:50 | 0:34:51 | |
Their hearing is certainly better than that of any human. | 0:34:51 | 0:34:56 | |
But could those cats be the hearing heroes? | 0:34:56 | 0:34:59 | |
To find out who has the widest range of hearing, Dick White is | 0:35:00 | 0:35:04 | |
conducting a hearing test with the help of Felix the cat. | 0:35:04 | 0:35:08 | |
He's starting with the easier sounds at lower frequencies. | 0:35:10 | 0:35:14 | |
OK, so let's put a, first of all a 10kH signal in here, | 0:35:14 | 0:35:20 | |
and that's well within human hearing range. | 0:35:20 | 0:35:22 | |
He certainly reacts to that in the same way that we do. | 0:35:24 | 0:35:28 | |
OK, we'll go up now to 20kH, which is not easy for humans to hear, | 0:35:28 | 0:35:32 | |
but young children can usually hear that, | 0:35:32 | 0:35:35 | |
and we'll see what kind of response we get to that. | 0:35:35 | 0:35:38 | |
Next we're going beyond the range that ANY humans can hear. | 0:35:42 | 0:35:46 | |
Now we're going to 50kH. | 0:35:46 | 0:35:48 | |
50kH is the upper limit for dogs. | 0:35:48 | 0:35:51 | |
It's another positive reaction from Felix. But can he go even higher? | 0:35:54 | 0:35:59 | |
Let's go to 60kH, let's press the button now. | 0:36:01 | 0:36:04 | |
Come on, Felix, this is for cats everywhere. | 0:36:05 | 0:36:08 | |
We can see some ear twitching, | 0:36:10 | 0:36:12 | |
which suggests some response to that sound. | 0:36:12 | 0:36:15 | |
There are the ears moving. | 0:36:15 | 0:36:16 | |
It's another triumph for cats. | 0:36:16 | 0:36:19 | |
Well, I think it's clear that cats have much superior hearing | 0:36:20 | 0:36:23 | |
than dogs. One of the important differences is that the external ear | 0:36:23 | 0:36:28 | |
of the cat is very erect, we can see this part here - the pinna - | 0:36:28 | 0:36:32 | |
is very, very mobile and it acts like a sort of a radar dish | 0:36:32 | 0:36:35 | |
to collect the sound waves | 0:36:35 | 0:36:38 | |
and directs them down to the tympanic membrane, or the eardrum. | 0:36:38 | 0:36:42 | |
The cat's middle ear is relatively larger than that of the dog, which | 0:36:43 | 0:36:47 | |
is thought to be why cats can detect a far wider range of frequencies. | 0:36:47 | 0:36:52 | |
Cats often hear their prey before they see it. | 0:36:53 | 0:36:56 | |
The small animals they prey on tend to make high-pitched noises, | 0:36:56 | 0:37:00 | |
but because cats have the ability to pick up on these sounds, | 0:37:00 | 0:37:04 | |
they can locate them easily. | 0:37:04 | 0:37:05 | |
Quite a surprising result for a lot of pet owners there - | 0:37:08 | 0:37:11 | |
61% of you thought that dogs would be better at hearing, | 0:37:11 | 0:37:15 | |
but the science backs me up, Chris. | 0:37:15 | 0:37:17 | |
Cats win on hearing. | 0:37:17 | 0:37:19 | |
Only just, only just, and let's not forget the smell. | 0:37:19 | 0:37:22 | |
When it comes to smell, the dog's nose is like a sensory | 0:37:22 | 0:37:25 | |
version of Pinocchio's - it's right out there sniffing above the cats. | 0:37:25 | 0:37:29 | |
Pinocchio's nose - really...? | 0:37:29 | 0:37:31 | |
Dogs may win on smell but cats have better eyesight and hearing. | 0:37:32 | 0:37:37 | |
So the overall winner in this round, | 0:37:39 | 0:37:41 | |
the battle of the senses, are the cats. | 0:37:41 | 0:37:44 | |
Once you've located your prey, you have to catch it. | 0:37:48 | 0:37:51 | |
And so for the final round in this show's battle between cats | 0:37:53 | 0:37:56 | |
and dogs, we're going to be testing who is best when it comes to | 0:37:56 | 0:38:01 | |
physical prowess. | 0:38:01 | 0:38:03 | |
And by that, we mean agility, stamina and speed. | 0:38:05 | 0:38:09 | |
So our next survey question was, | 0:38:14 | 0:38:16 | |
which animal do you think is the most agile - the cat or the dog? | 0:38:16 | 0:38:20 | |
-Do you want the results? -Lay them on me. | 0:38:20 | 0:38:23 | |
4% said dogs. And a resounding | 0:38:23 | 0:38:26 | |
93% said the cat. | 0:38:26 | 0:38:29 | |
I'm not terribly surprised about that, you know, | 0:38:29 | 0:38:31 | |
because cats are renowned for being very lithe, supple animals. | 0:38:31 | 0:38:35 | |
But, you know, I think this might be closer-run than you think. | 0:38:35 | 0:38:38 | |
Let's start by looking at how athletic each of these animals is. | 0:38:38 | 0:38:43 | |
Cats are fantastic movers. | 0:38:43 | 0:38:46 | |
But dogs are bound to win. | 0:38:48 | 0:38:50 | |
I'd like to see a cat do this. | 0:38:54 | 0:38:56 | |
And I'd like to see a dog do this. | 0:38:59 | 0:39:01 | |
You can't beat a skateboarding hound. | 0:39:06 | 0:39:08 | |
Oh, really? | 0:39:08 | 0:39:10 | |
OK, so both cats and dogs can do some pretty amazing tricks. | 0:39:30 | 0:39:34 | |
But cats are ambush predators - | 0:39:34 | 0:39:36 | |
that requires an incredible amount of power and agility. | 0:39:36 | 0:39:40 | |
So I suspect that in a true test of physical prowess | 0:39:40 | 0:39:44 | |
cats are going to beat dogs hands down. | 0:39:44 | 0:39:46 | |
One simple action that both animals can do is jump. | 0:39:50 | 0:39:55 | |
But who can jump the highest? | 0:39:55 | 0:39:57 | |
We've enlisted the help of the Royal Veterinary College's Matthew Pead. | 0:39:58 | 0:40:02 | |
OK, so today we've set up a high jump competition for you. | 0:40:05 | 0:40:08 | |
We've got Dash, a Jack Russell Terrier. | 0:40:08 | 0:40:10 | |
-Hello, Dash. -And we've got a cat. | 0:40:10 | 0:40:13 | |
Representing Team Cat is Tinkerbell. | 0:40:13 | 0:40:16 | |
OK, and they're pretty evenly matched. | 0:40:16 | 0:40:19 | |
Yes, similar size. Similar leg length. | 0:40:19 | 0:40:23 | |
Dash is up first. | 0:40:23 | 0:40:24 | |
All right, Joe, whenever you're ready. | 0:40:24 | 0:40:26 | |
'He's warming up. And we'll see how high he can go.' | 0:40:29 | 0:40:33 | |
Jump, jump, jump! | 0:40:33 | 0:40:36 | |
Good boy. | 0:40:36 | 0:40:38 | |
The first phase of a vertical jump is the takeoff. | 0:40:38 | 0:40:41 | |
It's how well they do this which determines the height they reach. | 0:40:41 | 0:40:45 | |
Both dogs and cats have the same basic technique. First the crouch. | 0:40:46 | 0:40:51 | |
Followed by the raising of the four limbs, | 0:40:53 | 0:40:56 | |
and a rapid extension of the hind limbs. | 0:40:56 | 0:40:59 | |
so how did Dash do on his best jump? | 0:41:01 | 0:41:04 | |
What part of the body are we measuring here - | 0:41:04 | 0:41:07 | |
the top of the head, the hind legs? | 0:41:07 | 0:41:09 | |
We're going to take a point just behind the shoulder blade | 0:41:09 | 0:41:12 | |
-and that's about the middle of the animal. -That's the fairest | 0:41:12 | 0:41:15 | |
-we can be. -Yes, that's the fairest I can do for you. | 0:41:15 | 0:41:17 | |
OK, so let's take a look at this one | 0:41:17 | 0:41:18 | |
and see where the shoulder blades reach on the chart. | 0:41:18 | 0:41:23 | |
Got it. | 0:41:23 | 0:41:24 | |
-Oh, very good. -So the point just behind his scapular | 0:41:24 | 0:41:28 | |
is 112, we'll give him for that. | 0:41:28 | 0:41:30 | |
112cm, Dash, well done. | 0:41:30 | 0:41:34 | |
Tinkerbell is up next, but we need to give her somewhere to land. | 0:41:34 | 0:41:38 | |
She's been trained to jump up | 0:41:38 | 0:41:40 | |
onto something, which is more natural for a cat. | 0:41:40 | 0:41:43 | |
Does she get any leverage from tapping her feet | 0:41:45 | 0:41:48 | |
on the box as she jumps up? | 0:41:48 | 0:41:50 | |
No, we've set it up with a really smooth surface, so she can't gain | 0:41:50 | 0:41:53 | |
any purchase from there. | 0:41:53 | 0:41:54 | |
Tinkerbell certainly jumps with more style than Dash, but did she beat | 0:41:56 | 0:42:01 | |
his top score of 112cm? | 0:42:01 | 0:42:03 | |
OK, let's take a look at Tinkerbell's highest jump, and... | 0:42:05 | 0:42:09 | |
129 for the cat. | 0:42:09 | 0:42:11 | |
OK, that is amazing. | 0:42:11 | 0:42:13 | |
So Tinkerbell has clearly jumped | 0:42:13 | 0:42:15 | |
-substantially higher than Dash. -Yes. | 0:42:15 | 0:42:17 | |
It's a clear win for Team Cat. | 0:42:17 | 0:42:20 | |
The dog's probably performing at the limit of what the dog can do. | 0:42:22 | 0:42:26 | |
I think the cat's taking it easy. | 0:42:26 | 0:42:29 | |
The highest recorded cat jump is 196cm. | 0:42:29 | 0:42:34 | |
So what is it about cats that make them so brilliant at jumping? | 0:42:34 | 0:42:38 | |
First up, the cat's got this incredibly long reach - | 0:42:38 | 0:42:43 | |
look how far these legs go out in front of her. | 0:42:43 | 0:42:45 | |
So they have relatively long bones in relation to their size - | 0:42:45 | 0:42:50 | |
that gives them long levers, and long levers with long muscles mean | 0:42:50 | 0:42:55 | |
that you can generate a lot of force. | 0:42:55 | 0:42:57 | |
Cats' bones are not only long, they're lightweight as well. | 0:42:57 | 0:43:02 | |
They have larger cavities than those of dogs, who have a denser, | 0:43:02 | 0:43:06 | |
heavier skeleton. | 0:43:06 | 0:43:08 | |
The cats' natural crouch posture combined with a highly | 0:43:08 | 0:43:12 | |
flexible spine allows them to contract like a coiled spring | 0:43:12 | 0:43:17 | |
before an explosive takeoff. | 0:43:17 | 0:43:19 | |
They can get all the muscles which are going to propel them | 0:43:21 | 0:43:24 | |
into the air pretty much underneath their centre of gravity. | 0:43:24 | 0:43:27 | |
That's much more difficult for a dog, which isn't so flexible, to do. | 0:43:27 | 0:43:31 | |
So the cat can pretty much push itself straight up in the air, | 0:43:31 | 0:43:34 | |
almost like a rocket. | 0:43:34 | 0:43:36 | |
So when it comes to the high jump, cats reach new heights. | 0:43:36 | 0:43:40 | |
Well, what do you make of that? | 0:43:43 | 0:43:45 | |
It's undeniable, it's undeniable. | 0:43:45 | 0:43:47 | |
Cats are remarkable, amazing athletes, | 0:43:47 | 0:43:50 | |
but what about the long jump? That's a different kettle of fish, | 0:43:50 | 0:43:52 | |
and here I think that dogs could do really well. | 0:43:52 | 0:43:55 | |
This is a genuine British long jump competition | 0:44:03 | 0:44:06 | |
called Dash 'N' Splash... | 0:44:06 | 0:44:08 | |
..based on the American sport of dock diving, where dogs retrieve | 0:44:10 | 0:44:14 | |
a ball thrown off the end of a dock. | 0:44:14 | 0:44:16 | |
Success relies upon a fast run-up and a powerful takeoff. | 0:44:21 | 0:44:25 | |
The nearer the end of the ramp they jump from, the better, | 0:44:32 | 0:44:36 | |
as the jump distance is measured from the edge. | 0:44:36 | 0:44:39 | |
The end point is where the base of the dog's tail breaks the surface. | 0:44:42 | 0:44:46 | |
The current world record is a truly giant leap of 8.5m. | 0:44:50 | 0:44:56 | |
Only just short of the world record for the human long jump. | 0:44:57 | 0:45:03 | |
The furthest recorded cat jump is just 1.8 metres. | 0:45:03 | 0:45:08 | |
HE CHUCKLES | 0:45:08 | 0:45:10 | |
Dogs are the long-jump champions! | 0:45:10 | 0:45:13 | |
So, what do you make of that? | 0:45:13 | 0:45:15 | |
I loved it, Chris, but who knows how far a cat could jump | 0:45:15 | 0:45:19 | |
if you could train it to run up first? | 0:45:19 | 0:45:21 | |
IF you could train it to run up first. | 0:45:21 | 0:45:23 | |
Yes, on the subject of running, let's look at speed now. | 0:45:23 | 0:45:26 | |
In our survey of our 1,000 cat and dog owners, | 0:45:26 | 0:45:28 | |
we asked which one they thought would be the faster sprinter. | 0:45:28 | 0:45:33 | |
Very surprising results. | 0:45:33 | 0:45:35 | |
41% said they thought it was their dog, | 0:45:35 | 0:45:38 | |
and 51, their cat. I'm surprised by that. | 0:45:38 | 0:45:42 | |
I do as well, but when you think about it, | 0:45:42 | 0:45:44 | |
the fastest animal on the planet belongs to the cat family. | 0:45:44 | 0:45:47 | |
The cheetah is built for speed. | 0:45:48 | 0:45:51 | |
This lean, mean running machine can go as fast as 64mph. | 0:45:51 | 0:45:57 | |
It's capable of incredible acceleration and can go from | 0:45:57 | 0:46:01 | |
0-60 in 3½ seconds. | 0:46:01 | 0:46:04 | |
That's faster than most sports cars. | 0:46:04 | 0:46:08 | |
Now, look at this domestic cat moving at full speed. | 0:46:08 | 0:46:11 | |
If you compare it with a cheetah, you can see just how similar | 0:46:12 | 0:46:16 | |
they are in their running techniques. | 0:46:16 | 0:46:18 | |
But there is one breed of dog that's famous for being fast, | 0:46:22 | 0:46:26 | |
and that's the greyhound. | 0:46:26 | 0:46:27 | |
Chris is meeting Sal and Jojo - rescues who live at the clinic | 0:46:27 | 0:46:31 | |
and are looked after by ward assistant Abby. | 0:46:31 | 0:46:34 | |
What a beautiful animal. The physique is extraordinary isn't, it? | 0:46:34 | 0:46:39 | |
-She is gorgeous. -Her legs so lean. How much exercise do you give them? | 0:46:39 | 0:46:44 | |
We walk them four times a day and they run around in the paddock. | 0:46:44 | 0:46:46 | |
Run around - that's what we want to see, a bit of running. | 0:46:46 | 0:46:49 | |
-An animal like this needs to be in motion. Can we try? -Yes. OK. | 0:46:49 | 0:46:52 | |
All right, here's the toy - look at this, look at this. | 0:46:52 | 0:46:55 | |
Imagine it's a...I don't know, a rabbit or something. Come on. | 0:46:55 | 0:46:59 | |
It's beautiful to watch, isn't it? | 0:47:03 | 0:47:07 | |
The way their body moves. | 0:47:07 | 0:47:09 | |
And these animals have been bred for countless | 0:47:09 | 0:47:12 | |
generations for their speed, and I can tell you that | 0:47:12 | 0:47:15 | |
when that greyhound is flat out, it will do 40mph. | 0:47:15 | 0:47:19 | |
Well, Chris is pulling a fast one again - | 0:47:23 | 0:47:25 | |
using the most speedy dog breed to compare to an average moggy | 0:47:25 | 0:47:29 | |
is just not good sportsmanship. | 0:47:29 | 0:47:31 | |
We're going to get to the bottom of this with some proper science. | 0:47:31 | 0:47:35 | |
Helen Fenton-Jones is head physiotherapist at the centre. | 0:47:37 | 0:47:41 | |
-Hiya, Helen. -Hiya. | 0:47:41 | 0:47:43 | |
-How are you? Who's this? -This is Bobby. | 0:47:43 | 0:47:46 | |
What are you doing to him today? | 0:47:46 | 0:47:47 | |
He's having some hydrotherapy as part of his physio treatment. | 0:47:47 | 0:47:51 | |
Because he's an older dog he just needs a little bit of help | 0:47:51 | 0:47:53 | |
cos his muscles aren't so strong any more. | 0:47:53 | 0:47:56 | |
I'm hoping Helen can settle the argument about which animal | 0:47:56 | 0:47:59 | |
is faster, my cats or Chris's dogs? | 0:47:59 | 0:48:02 | |
Well, if we think about the skeleton, | 0:48:02 | 0:48:04 | |
if we look at the forelimb of a cat compared to a dog, | 0:48:04 | 0:48:08 | |
there's much more manoeuvrability and flexibility there. | 0:48:08 | 0:48:12 | |
OK. How does that contribute to speed when running? | 0:48:12 | 0:48:14 | |
When we're talking about running, if they can increase | 0:48:14 | 0:48:17 | |
the range of movement at the shoulder, increasing their stride | 0:48:17 | 0:48:20 | |
length, technically that should contribute to a greater speed. | 0:48:20 | 0:48:23 | |
-Faster compared to the dog. -Excellent. | 0:48:23 | 0:48:25 | |
So if you combine the extraordinary muscle power, the manoeuvrability, | 0:48:25 | 0:48:29 | |
the flexibility of the spine, can we say that your average cat is | 0:48:29 | 0:48:33 | |
designed for speed in a superior way to that of a dog of the same size? | 0:48:33 | 0:48:37 | |
I suspect that may be the case. | 0:48:37 | 0:48:38 | |
And I think it's really interesting that we can use our knowledge | 0:48:38 | 0:48:42 | |
of the musculoskeletal systems to infer those sorts of things. | 0:48:42 | 0:48:47 | |
Thank you so much. So, Chris, it looks like once again | 0:48:47 | 0:48:50 | |
the average cat pips the average dog to the post. | 0:48:50 | 0:48:53 | |
Ecologically, of course, this makes sense. | 0:48:53 | 0:48:57 | |
Speed, jumping, general agility - well, it's important to cats | 0:48:57 | 0:49:02 | |
because of the way they hunt, | 0:49:02 | 0:49:03 | |
by pouncing or jumping up onto their prey, often after a short sprint. | 0:49:03 | 0:49:07 | |
But there is one athletic skill | 0:49:07 | 0:49:10 | |
where Liz and her cats can't possibly compete. | 0:49:10 | 0:49:14 | |
And that is endurance. | 0:49:19 | 0:49:21 | |
Dogs and their humans are amazing long-distance runners. | 0:49:21 | 0:49:25 | |
I'm here at the European Championships of a very noisy | 0:49:28 | 0:49:32 | |
new sport, called Canicross, | 0:49:32 | 0:49:35 | |
where basically it's like cross-country with dogs. | 0:49:35 | 0:49:39 | |
The dogs are very much in front pulling the runners along, | 0:49:39 | 0:49:42 | |
so it's a perfect opportunity for us | 0:49:42 | 0:49:44 | |
to take a look at the endurance abilities of these animals. | 0:49:44 | 0:49:47 | |
The dogs and their owners cover a demanding 5km course | 0:49:53 | 0:49:57 | |
through Perthshire's scenic Bowland Trails. | 0:49:57 | 0:49:59 | |
Scandinavian hound Diesel is being fitted with a heart-rate monitor | 0:50:01 | 0:50:05 | |
by a Canicross vet, Bethan Fitzgerald. | 0:50:05 | 0:50:08 | |
We're just going to need to put some gel on the underside just to | 0:50:08 | 0:50:12 | |
make sure that there's good contact between the skin. | 0:50:12 | 0:50:14 | |
We need a good amount, sorry. | 0:50:14 | 0:50:17 | |
And this will tell us exactly how fast that heart | 0:50:17 | 0:50:20 | |
is beating during exercise, before exercise, | 0:50:20 | 0:50:23 | |
-and we can do a comparison. -OK, what's it saying? | 0:50:23 | 0:50:26 | |
It's giving us a heart-rate of about 80 beats per minute. | 0:50:26 | 0:50:29 | |
Is that what you'd expect for a dog of this size? | 0:50:29 | 0:50:31 | |
-Yes, absolutely. -It'll be interesting to see what happens | 0:50:31 | 0:50:34 | |
during the course of the race, Diesel. | 0:50:34 | 0:50:35 | |
I imagine yours might go up a little bit. | 0:50:35 | 0:50:37 | |
And yours too, of course. | 0:50:37 | 0:50:38 | |
Diesel and his owner Sarah were European champions two years ago, | 0:50:40 | 0:50:43 | |
so they're both pretty fit. | 0:50:43 | 0:50:45 | |
Three...two...one... Go! | 0:50:45 | 0:50:49 | |
The dogs lead the way, but their owners call out directional | 0:50:54 | 0:50:57 | |
commands to keep them on the right route. | 0:50:57 | 0:51:01 | |
In this terrain, four legs are definitely better than two. | 0:51:01 | 0:51:05 | |
But are the dogs being pushed to their limit? | 0:51:11 | 0:51:14 | |
Heart rate's one thing, but what we're really | 0:51:16 | 0:51:19 | |
interested in here is something called the VO2 max. | 0:51:19 | 0:51:23 | |
Now, this is the sort of aerobic capacity of the body. | 0:51:23 | 0:51:26 | |
It's the body's ability to get oxygen to the muscles, which is | 0:51:26 | 0:51:30 | |
obviously essential. | 0:51:30 | 0:51:31 | |
In simple terms it's the fitness - the absolute fitness. | 0:51:31 | 0:51:35 | |
The VO2 is the volume of oxygen that the body can consume | 0:51:37 | 0:51:41 | |
whilst exercising. | 0:51:41 | 0:51:43 | |
The fitter you are, the higher your maximum capacity. | 0:51:43 | 0:51:46 | |
Now, dogs are way ahead of their owners. | 0:51:48 | 0:51:50 | |
At full capacity, Diesel has a VO2 level that could reach 200. | 0:51:50 | 0:51:55 | |
Even the fittest human specimens can't come close to this. | 0:51:55 | 0:51:59 | |
I'm here on the finish line and one thing that's very apparent is | 0:52:01 | 0:52:05 | |
that most of the dogs look a lot fitter than the people. | 0:52:05 | 0:52:09 | |
I mean, there's a few drooping tongues from the dogs but there's | 0:52:09 | 0:52:13 | |
a lot of exhausted competitors - human competitors, that is. | 0:52:13 | 0:52:16 | |
So how hard DID Diesel find it? | 0:52:18 | 0:52:20 | |
'If he's been pushed to his limit, then his VO2 level would read 200.' | 0:52:20 | 0:52:26 | |
Just a rough calculation, and today he reached 90. | 0:52:27 | 0:52:32 | |
But I've got a funny feeling he wasn't going to his maximum, | 0:52:32 | 0:52:35 | |
he was, er, he found that very easy. | 0:52:35 | 0:52:37 | |
That wasn't max, was it? | 0:52:37 | 0:52:39 | |
I mean, I hate to say it, | 0:52:39 | 0:52:41 | |
but he looked like he was ready to go again. | 0:52:41 | 0:52:43 | |
Yes, he was ready to go again. I wasn't! | 0:52:43 | 0:52:45 | |
So, with a VO2 level of 90, | 0:52:45 | 0:52:48 | |
Diesel was working at less than half capacity. | 0:52:48 | 0:52:52 | |
Which goes to show that dogs are exceptional endurance athletes. | 0:52:52 | 0:52:56 | |
I've borrowed a dog to find out for myself. | 0:52:56 | 0:53:00 | |
I hope. Come on, mate, let's go, let's go. Come on. | 0:53:00 | 0:53:05 | |
Breeds with most stamina are those with the closest genetic link | 0:53:05 | 0:53:08 | |
to their wolf ancestors. | 0:53:08 | 0:53:10 | |
Like Crow, my husky running partner. | 0:53:11 | 0:53:13 | |
I'm feeling quite close to MY ancestors right now. | 0:53:16 | 0:53:19 | |
Like a Stone Age huntsman chasing a wild boar through the forest | 0:53:20 | 0:53:24 | |
with my trusty hound. | 0:53:24 | 0:53:26 | |
'Well, maybe not.' | 0:53:28 | 0:53:30 | |
Oh... | 0:53:30 | 0:53:32 | |
I know. Where's the defibrillator? | 0:53:33 | 0:53:36 | |
HE PANTS | 0:53:36 | 0:53:38 | |
Compared to cats, dogs have an enormous aerobic capacity. | 0:53:39 | 0:53:43 | |
Look at these sled dogs here. | 0:53:43 | 0:53:45 | |
They can run for 100 miles a day for seven days in a row. | 0:53:45 | 0:53:51 | |
It's absolutely phenomenal, and the reason that they're so aerobically | 0:53:51 | 0:53:56 | |
fit is that they're more efficient at getting oxygen to their muscles. | 0:53:56 | 0:54:00 | |
They have more blood vessels going to those muscles, | 0:54:00 | 0:54:03 | |
and relatively speaking, they have a much larger heart. | 0:54:03 | 0:54:06 | |
So that, too, is more efficient at pumping the blood around the body. | 0:54:06 | 0:54:11 | |
So dogs can run and run and run. | 0:54:11 | 0:54:15 | |
Ian Forbes is ex-Army. | 0:54:21 | 0:54:24 | |
Now an expedition medic, he thrives in extreme environments. | 0:54:24 | 0:54:28 | |
Obviously a tough guy like Ian has a dog to match. | 0:54:29 | 0:54:33 | |
Marnie is his long-haired Chihuahua! | 0:54:37 | 0:54:41 | |
Taken out from a very young age, | 0:54:41 | 0:54:43 | |
it was obvious that she enjoyed running. | 0:54:43 | 0:54:46 | |
So I just put my running stuff on and started running with her. | 0:54:46 | 0:54:48 | |
She finds it really easy, she doesn't find it a stretch, she | 0:54:48 | 0:54:52 | |
just enjoys that opportunity to go out in the woods, the same as I do. | 0:54:52 | 0:54:55 | |
She does about three miles each time we go out. | 0:54:55 | 0:54:58 | |
Dogs make great training partners, | 0:54:58 | 0:55:00 | |
they never don't want to go out with you. | 0:55:00 | 0:55:02 | |
It's just sometimes the strange looks that you get | 0:55:04 | 0:55:07 | |
when a man runs past with a little tiny Chihuahua running behind him. | 0:55:07 | 0:55:10 | |
Come on, good girl. Come on. | 0:55:13 | 0:55:16 | |
As you can see, she is very fit, she's strong. | 0:55:16 | 0:55:18 | |
It's the power-to-weight ratio. | 0:55:18 | 0:55:20 | |
When I lift her up I can feel | 0:55:20 | 0:55:22 | |
that her heart isn't beating that fast at all. | 0:55:22 | 0:55:24 | |
She is the Mo Farah of dogs - no gold medals yet, | 0:55:24 | 0:55:28 | |
but it won't be that long. | 0:55:28 | 0:55:30 | |
So, when it comes to endurance, the dogs have the staying power. | 0:55:36 | 0:55:42 | |
We're ready for the final score now. | 0:55:42 | 0:55:45 | |
Dogs took the prize for intelligence. | 0:55:45 | 0:55:47 | |
While cats won the battle of the senses. | 0:55:47 | 0:55:50 | |
Physical agility is going to be the decider. | 0:55:50 | 0:55:52 | |
And it has to go to those fast-running, high-jumping cats. | 0:55:52 | 0:55:57 | |
So, at the final whistle it's 2-1 to the cats, | 0:55:57 | 0:56:01 | |
who win tonight's show. | 0:56:01 | 0:56:03 | |
Well, that about wraps it up for our battle of cats and dogs, Chris. | 0:56:03 | 0:56:07 | |
It certainly does, and I think we | 0:56:07 | 0:56:09 | |
can say that dogs definitely come | 0:56:09 | 0:56:11 | |
out on top when it comes | 0:56:11 | 0:56:12 | |
to complex intelligence. | 0:56:12 | 0:56:13 | |
Their senses are pretty hot - particularly smell - | 0:56:13 | 0:56:16 | |
and endurance athletes can't beat 'em. | 0:56:16 | 0:56:19 | |
Hang on a second, if you look at other aspects of physicality, | 0:56:19 | 0:56:23 | |
cats are the born leaders | 0:56:23 | 0:56:24 | |
and when it comes to the senses, | 0:56:24 | 0:56:26 | |
their vision is better, | 0:56:26 | 0:56:27 | |
their hearing is better, | 0:56:27 | 0:56:29 | |
and with that vomeronasal organ they gain so much | 0:56:29 | 0:56:31 | |
information from their environment - that's pretty special too. | 0:56:31 | 0:56:34 | |
I think there is one thing we can agree on, | 0:56:34 | 0:56:36 | |
and that is that over the millennia, both cats | 0:56:36 | 0:56:39 | |
and dogs have evolved to fulfil their ecological niches so that they | 0:56:39 | 0:56:43 | |
are brilliant survivors, | 0:56:43 | 0:56:45 | |
and the animals that we know and love today. | 0:56:45 | 0:56:47 | |
Next time, with the help of scientists from around the world, | 0:56:50 | 0:56:53 | |
we'll be putting our pets through some more fascinating | 0:56:53 | 0:56:56 | |
and ground-breaking tests in Round Two | 0:56:56 | 0:57:00 | |
of the battle of the species between cats and dogs. | 0:57:00 | 0:57:03 | |
You may be surprised by the results. | 0:57:03 | 0:57:06 | |
# Pussy cat, pussy cat... | 0:57:06 | 0:57:09 | |
# I love you... | 0:57:09 | 0:57:10 | |
-# Yes... -I do. # | 0:57:10 | 0:57:12 | |
We all like to think that our pets know what we're saying to them. | 0:57:12 | 0:57:17 | |
CAT MEOWS | 0:57:17 | 0:57:18 | |
I think that's Dinah. | 0:57:18 | 0:57:20 | |
But we'll be testing which animal is better at understanding us... | 0:57:22 | 0:57:25 | |
Get pig. | 0:57:25 | 0:57:27 | |
..how well they can be trained... | 0:57:27 | 0:57:29 | |
And we'll be revealing some brand-new science | 0:57:32 | 0:57:36 | |
to find out whether our pets might actually love us. | 0:57:36 | 0:57:40 | |
Currently it's a love-hate relationship. | 0:57:41 | 0:57:44 | |
I think he loves us a lot. | 0:57:44 | 0:57:46 | |
Do you like me? | 0:57:46 | 0:57:47 | |
And then we'll finally answer the big question, which is best - | 0:57:47 | 0:57:51 | |
cats or dogs? | 0:57:51 | 0:57:54 | |
I can't wait. I mean, everyone knows | 0:57:55 | 0:57:58 | |
that dogs are man's best friend, Liz. | 0:57:58 | 0:58:00 | |
I'm not paying a blind bit of attention to what you're saying - | 0:58:00 | 0:58:04 | |
-I'm cuddling a kitten. We'll see you next time. -Goodbye. | 0:58:04 | 0:58:07 |