Browse content similar to 19/09/2016. Check below for episodes and series from the same categories and more!
Line | From | To | |
---|---|---|---|
Tonight, tracking down the flytippers | :00:13. | :00:13. | |
It actually makes me even more determined to look harder and wider | :00:14. | :00:17. | |
for that one piece of post with the names so we can | :00:18. | :00:20. | |
Mike Dilger looks at extreme solutions to littering. | :00:21. | :00:27. | |
How would you feel seeing your name on the Internet? | :00:28. | :00:29. | |
If my kids grow up later in life and they look on Google | :00:30. | :00:39. | |
and put my name in there, that is what will come up. | :00:40. | :00:41. | |
And a message from the Syrian family who have made their home | :00:42. | :00:44. | |
I'm very grateful for the people who have helped us and everything, | :00:45. | :00:48. | |
Parts of the British countryside are becoming a dumping | :00:49. | :01:04. | |
It is illegal and costs millions of pounds a year to clear up. | :01:05. | :01:15. | |
It does not take a genius to realise that does not belong here. | :01:16. | :01:19. | |
So we set about trying to catch a fly-tipper in act. | :01:20. | :01:23. | |
We set up our secret cameras in one of the West's | :01:24. | :01:25. | |
Prepare to be disgusted at what some people dump. | :01:26. | :01:38. | |
Fly-tipping is not a new problem but it's getting worse in the West, | :01:39. | :01:50. | |
It costs councils in England an estimated ?50 million a year | :01:51. | :02:02. | |
to clear up and private landowners a staggering ?150 million. | :02:03. | :02:04. | |
Money which comes out of their pockets. | :02:05. | :02:07. | |
Could be electrical goods, fridges, freezers, | :02:08. | :02:11. | |
Ian Exton runs Mount Farm in Gloucestershire. | :02:12. | :02:18. | |
He is at his wits end with fly-tipping every week. | :02:19. | :02:23. | |
We have to clear the rubbish out of the way, speak to the council | :02:24. | :02:28. | |
about that, wait for them to clear it, time that we lose. | :02:29. | :02:33. | |
And with farming we have to do the job on that day. | :02:34. | :02:38. | |
We might have something which can help him. | :02:39. | :02:43. | |
CCTV is proving successful in catching those responsible | :02:44. | :02:47. | |
for fly-tipping and as this is a prime spot, what better place | :02:48. | :02:50. | |
to install Inside Out's very own secret cameras? | :02:51. | :02:55. | |
Hopefully we can catch someone in the act. | :02:56. | :02:59. | |
Waste dumped here comes in all shapes and sizes. | :03:00. | :03:05. | |
You've found some pretty strange things left as well? | :03:06. | :03:10. | |
Probably the strangest thing or item that we found part | :03:11. | :03:13. | |
of in the countryside was right at this spot here. | :03:14. | :03:18. | |
One night the police came over to me and said the public | :03:19. | :03:24. | |
In the West fly-tipping has increased by a third | :03:25. | :03:31. | |
in the past three years, from just over 20,000 incidents | :03:32. | :03:33. | |
Hard evidence is needed for a prosecution and | :03:34. | :03:39. | |
Take this example from the Environment Agency. | :03:40. | :03:46. | |
A builder decided to dump and burn waste from his site | :03:47. | :03:49. | |
Bernard Molloy he was successfully prosecuted and is now banned | :03:50. | :04:04. | |
Pretty tricky considering he is a builder. | :04:05. | :04:08. | |
Back at Mount Farm in Gloucestershire, | :04:09. | :04:10. | |
I wonder how our hidden cameras are getting on. | :04:11. | :04:13. | |
The council putting up a sign to try and prevent fly-tippers. | :04:14. | :04:30. | |
A couple of days later, we catch something | :04:31. | :04:47. | |
Two men then appeared to unlock the tailgate. | :04:48. | :04:51. | |
The next morning, we get a call from Ian the farmer. | :04:52. | :04:57. | |
The worst case of fly-tipping his ever seen. | :04:58. | :04:59. | |
Just a few metres along from our cameras. | :05:00. | :05:00. | |
The council enforcement team are already here, | :05:01. | :05:03. | |
And believe me, you need a strong stomach for this. | :05:04. | :05:08. | |
Somebody has put this in the middle of the road | :05:09. | :05:33. | |
and they just think that's it, it's gone, it's out of their life, | :05:34. | :05:36. | |
It actually makes me even more determined to look harder and wider | :05:37. | :05:43. | |
for just that one piece of post or one delivery item that's got | :05:44. | :05:47. | |
the address on it with a name so we can take these people | :05:48. | :05:50. | |
to court, because this is just disgusting. | :05:51. | :05:54. | |
We have a bag of shoes, I think it's just a bag of shoes. | :05:55. | :05:59. | |
But you never know what could be found at the bottom. | :06:00. | :06:06. | |
They're looking for clues to find whoever dumped this waste | :06:07. | :06:10. | |
and getting their hands dirty is all part of the job. | :06:11. | :06:23. | |
The first bit of evidence, a summons for poaching. | :06:24. | :06:38. | |
Could this be linked to the fly-tippers? | :06:39. | :06:41. | |
This looks like we might have hit the jackpot. | :06:42. | :07:09. | |
We've pretty much got everything we need in one bag. | :07:10. | :07:29. | |
Finding a crucial bit of evidence like this can make a case, | :07:30. | :07:35. | |
but perhaps our footage our secret cameras recorded | :07:36. | :07:37. | |
You can clearly see the truck with the car door panel and safer. | :07:38. | :07:48. | |
We've caught the fly-tippers and they weren't deterred | :07:49. | :07:50. | |
At the beginning of last week, the council came out and put | :07:51. | :07:58. | |
the signs up to try and stop people from flight tipping and ironically, | :07:59. | :08:01. | |
a few days later, probably one of the worst cases of fly-tipping | :08:02. | :08:05. | |
we have had happens right next to the sign. | :08:06. | :08:11. | |
But I think people who do this sort of thing don't take | :08:12. | :08:20. | |
I think they take more notice of if they get prosecuted. | :08:21. | :08:26. | |
A few weeks later, the road has been cleared, but Lucy | :08:27. | :08:29. | |
We sent an invite to the individual asking them to come | :08:30. | :08:35. | |
in for an interview under caution which they didn't attend. | :08:36. | :08:39. | |
I'd like to really persevere with finding the individual and find | :08:40. | :08:43. | |
out what their take on it is, so we will do what we can to find | :08:44. | :08:47. | |
the individual and if they make it to court, they could be looking up | :08:48. | :08:50. | |
to ?50,000 worth of fines and up to six months in prison. | :08:51. | :08:57. | |
The council may now hire a special investigator to track down | :08:58. | :09:00. | |
But as I found, bringing offenders to justice is a difficult | :09:01. | :09:14. | |
Even when there is plenty of evidence. | :09:15. | :09:24. | |
And we'll keep you posted on how that case develops | :09:25. | :09:27. | |
Settling in, a Syrian family's story. | :09:28. | :09:36. | |
I miss my father, mother, brothers and my sister. | :09:37. | :09:44. | |
Tracking down people who foul up our countryside isn't easy. | :09:45. | :10:03. | |
How about trying to prevent them from doing it in the first place? We | :10:04. | :10:09. | |
asked Mike Dilger to investigate. As someone who's a lover | :10:10. | :10:17. | |
of the Great British outdoors, there's nothing I find more | :10:18. | :10:19. | |
depressing than this. It's disgusting, it's dangerous, | :10:20. | :10:21. | |
it's depressing and most I really want to find out | :10:22. | :10:25. | |
what will stop people doing it. For one cigarette I | :10:26. | :10:30. | |
face a fine of ?610. Or, is the answer | :10:31. | :10:40. | |
a Big Brother approach? First up I'm in Gloucestershire, at | :10:41. | :10:51. | |
a wildlife beauty spot I know well. Here in the Forest of Dean, | :10:52. | :10:58. | |
litter is a massive problem, with over 60 fly-tips reported | :10:59. | :11:02. | |
each and every month. And the crazy thing is it | :11:03. | :11:07. | |
could've been disposed of I know and love the beautiful Forest | :11:08. | :11:22. | |
of Dean, but it does tend to get spoiled by litter. How big a problem | :11:23. | :11:28. | |
is it here? We have spots where it is particularly bad and other areas, | :11:29. | :11:33. | |
it is overnight where people have been on Iraq creation spots in the | :11:34. | :11:37. | |
day and left their litter behind. Is there one piece of litter you load | :11:38. | :11:41. | |
more than any other? Think it is nappies. Animals eat the gel inside | :11:42. | :11:48. | |
and then it fills up their stomach and then they starve to death so it | :11:49. | :11:54. | |
is really nasty to find. The eyes are really important. You can make a | :11:55. | :11:59. | |
funny nose but the eyes are the thing. | :12:00. | :12:02. | |
To tackle the problem, these primary school children | :12:03. | :12:04. | |
are designing scary faces, to be made out of rubbish collected | :12:05. | :12:07. | |
What else have you drawn? I have drawn a moustache and a red nose. | :12:08. | :12:18. | |
Says this was on a tree looking down at you, do you think it would stop | :12:19. | :12:25. | |
people dropping litter? Yes. It would stop me dropping litter, | :12:26. | :12:27. | |
I'll tell you that much. The finished faces are hung | :12:28. | :12:30. | |
from trees in litter It's an unmistakably | :12:31. | :12:32. | |
gentle approach, devised by an environmental charity, | :12:33. | :12:35. | |
using something called nudging. Nudging is a behavioural concept | :12:36. | :12:49. | |
which suggests by using positive reinforcement and indirect | :12:50. | :12:52. | |
prompting, you can encourage people to change their behaviour. | :12:53. | :13:01. | |
For the communi-treees, the nudge is the eyes. | :13:02. | :13:05. | |
It makes people feel like they're being watched. | :13:06. | :13:13. | |
Where did you get this idea from. Came from Rotterdam. They put eyes | :13:14. | :13:22. | |
on the side of bus stops and they found the crime rate dropped | :13:23. | :13:34. | |
dramatically. I love what they are doing here. I just hope it works. | :13:35. | :13:39. | |
Appealing to our better nature seems like a good idea. But perhaps the | :13:40. | :13:44. | |
answer is something with a bit more clout. | :13:45. | :13:49. | |
In South Wales they've declared war on litter, | :13:50. | :13:51. | |
putting enforcement officers on the street armed with cameras. | :13:52. | :13:53. | |
And they have a website which posts photos of the people | :13:54. | :13:55. | |
In London, Natalie McDermoth was named and shamed. | :13:56. | :14:07. | |
She now faces a fine of more than ?600 for dropping a cigarette. | :14:08. | :14:13. | |
There were no litter bins around at the time. There was a green box next | :14:14. | :14:21. | |
to me. I put it out of there and then put it down. As I got into the | :14:22. | :14:26. | |
shop doors, this guy approached me and said, I am giving you a fine. I | :14:27. | :14:32. | |
started laughing and said, for what? He said, for dropping a cigarette. | :14:33. | :14:39. | |
He handed me an ?80 fine. I refused to pay it. A few months ago, I was | :14:40. | :14:44. | |
looking through my phone, I put my name in Google and my name came up. | :14:45. | :14:48. | |
I was in the London papers and I was taken to court. I was not aware of | :14:49. | :14:55. | |
this. I was also on the Hall of shame. How did you feel seeing your | :14:56. | :15:02. | |
name on the Internet? I was embarrassed, I was mortified. When | :15:03. | :15:06. | |
my kids grow up later in life and put my name in Google, that is what | :15:07. | :15:07. | |
will come up. Naming and shaming undoubtedly sends | :15:08. | :15:10. | |
a strong message, but it relies So what if there was an approach | :15:11. | :15:12. | |
which could catch the culprit even if the actual act | :15:13. | :15:18. | |
of littering hadn't been In Hong Kong they've imagined | :15:19. | :15:20. | |
a world where litter is DNA-tested and a photo-fit | :15:21. | :15:31. | |
of the suspect created. At King's College London they're | :15:32. | :15:39. | |
using a new technique called phenotyping - which can identify | :15:40. | :15:50. | |
particular elements of a person's After 27 hours of analysis can | :15:51. | :15:54. | |
they tell me who dropped the bottle? Well, we have got a full profile. It | :15:55. | :16:21. | |
is from a male. We have also looked at some visible characteristics. | :16:22. | :16:24. | |
This is what you can see on the screen. Across the top we have some | :16:25. | :16:29. | |
information about the person's hair colour. They are definitely not | :16:30. | :16:35. | |
blonde redhead. Probably more like Brown, dark brown. Down here, we | :16:36. | :16:41. | |
have the eye colour results which is definitely brown. Fascinating. What | :16:42. | :16:48. | |
about ethnicity? This craft shows different populations around the | :16:49. | :16:52. | |
world. This purple group are Europeans. And this red dot is where | :16:53. | :16:58. | |
a person sits who I think are very likely to be pale skinned. The | :16:59. | :17:04. | |
closest match is from Britain so it may be somebody from the UK. That is | :17:05. | :17:11. | |
astonishing. It is time to confess, it was me what dropped the bottle. I | :17:12. | :17:15. | |
did have dark brown hair before I lost it. I definitely have brown | :17:16. | :17:17. | |
eyes and I am British. I'm impressed by how much | :17:18. | :17:21. | |
information they can extract Could this be the way to go | :17:22. | :17:23. | |
after litter louts in the future? I think it is crazy if you are | :17:24. | :17:38. | |
talking about catching somebody who dropped litter. It is too expensive. | :17:39. | :17:43. | |
The result you get can't be used in a court of law. It would be precise | :17:44. | :17:48. | |
enough. It will mean the enforcement agencies will be targeting people, | :17:49. | :17:51. | |
the majority will be innocent. So after all that what is the best | :17:52. | :17:54. | |
way to tackle littering? Well, councils are dishing | :17:55. | :17:57. | |
out more fines and it's It taught me not to drop the | :17:58. | :18:06. | |
cigarette again. I don't smoke when I am out, if I go into town. I don't | :18:07. | :18:12. | |
want to constantly look over my shoulder, if there is not been | :18:13. | :18:16. | |
around, if somebody is there ready to give me ticket. | :18:17. | :18:21. | |
Meanwhile, in the Forest of Dean, volunteers say litter | :18:22. | :18:33. | |
I'm really heartened to see the effort that's | :18:34. | :18:36. | |
going into persuading people to kick this disgusting habit. | :18:37. | :18:38. | |
And irrespective of whether it's the carrot or the stick approach ? | :18:39. | :18:41. | |
So, if you don't want Mike on your case, put your rubbish in the bin. | :18:42. | :18:48. | |
Moving to a new country and coming to terms with a new way of life can | :18:49. | :18:52. | |
So far, 141 Syrian refugees have arrived here in the West under | :18:53. | :18:58. | |
And we've been getting to know one of these families. | :18:59. | :19:06. | |
In a town in Wiltshire, a new family have moved in. | :19:07. | :19:09. | |
This is their mum, Hala, back in Syria she worked in a hospital. | :19:10. | :19:27. | |
And this is their dad Mohammed who is a lorry driver. | :19:28. | :19:39. | |
The council said the flat was empty and unwanted by local families. | :19:40. | :19:45. | |
They left Syria in 2013, fleeing to Lebanon and then Jordan. | :19:46. | :20:09. | |
They were selected to be part of the British government | :20:10. | :20:11. | |
scheme to resettle 20,000 vulnerable Syrian refugees. | :20:12. | :20:16. | |
I lived with my husband, my brother-in-law, my mother-in-law. | :20:17. | :20:19. | |
And this is what they were fleeing from. | :20:20. | :20:32. | |
This recent footage is said to be of their hometown, Idlib, | :20:33. | :20:34. | |
My country was very bad because I could not walk, | :20:35. | :20:40. | |
No electricity or water, it is very hard to live. | :20:41. | :20:45. | |
The British government transported them to the UK. | :20:46. | :20:48. | |
Before the plane went down, I was crying. | :20:49. | :20:51. | |
I said to my husband, why did we come here | :20:52. | :20:53. | |
as we don't know anyone, we don't know anything. | :20:54. | :20:56. | |
When we arrived we found people from the council | :20:57. | :21:02. | |
Wiltshire Council was responsible for helping the refugees | :21:03. | :21:08. | |
adapt to their new life, finding places to live | :21:09. | :21:12. | |
where local schools and doctors surgeries had spare capacity. | :21:13. | :21:19. | |
It is good for the children, for their studying here, | :21:20. | :21:31. | |
Everything is hard in Syria nowadays. | :21:32. | :21:40. | |
My daughter goes to the nursery. | :21:41. | :21:43. | |
There are parks in Syria but here everything is more. | :21:44. | :21:56. | |
When you see the sea you feel relaxed I think! | :21:57. | :22:12. | |
We have lots of neighbours who smile. | :22:13. | :22:17. | |
"We wish you a nice life with us here in England." | :22:18. | :22:25. | |
One of these neighbours is Christina Schrager | :22:26. | :22:27. | |
Anwar, my son, every day when we go out he knocks the door | :22:28. | :22:33. | |
Lubana comes here and watches television. | :22:34. | :22:42. | |
She sits on the sofa and you wouldn't know she was there. | :22:43. | :22:46. | |
I tell them about how things are run like the bin problems, | :22:47. | :22:49. | |
Though they are making new friends, the family stay in close contact | :22:50. | :23:01. | |
We buy the ingredients from another town and I can cook | :23:02. | :23:20. | |
I tried to cook some English food like fish and the chips. | :23:21. | :23:33. | |
Now they have settled into life in Wiltshire, | :23:34. | :23:40. | |
both Mohammed and Hala want to find jobs. | :23:41. | :23:42. | |
For the moment, they rely on benefits. | :23:43. | :23:45. | |
I want to work and drive a lorry and be a taxi driver. | :23:46. | :23:51. | |
Our life is good these days but everyone would | :23:52. | :23:54. | |
First, we have to learn English very well. | :23:55. | :24:03. | |
First, you are going to read your paragraph and you will answer | :24:04. | :24:10. | |
questions like we do first thing every lesson. | :24:11. | :24:13. | |
I wish one day to be a translator here from English to Arabic. | :24:14. | :24:17. | |
Steven Cousins is one of many local volunteers helping | :24:18. | :24:33. | |
As a taxi driver, he is preparing them for their driving test. | :24:34. | :24:40. | |
To say thank you, they have invited him for lunch. | :24:41. | :24:43. | |
I was expecting to come for a sandwich or something | :24:44. | :24:45. | |
Mohammed's brother Youssef who has also been resettled in Wiltshire | :24:46. | :24:53. | |
was a lorry driver back in Syria as well. | :24:54. | :24:57. | |
Steven makes it clear that in the UK Mohammed will not be able | :24:58. | :25:13. | |
They want to use the skills they have and there is work | :25:14. | :25:22. | |
The family are off to Minehead beach. | :25:23. | :25:45. | |
This is the first time Anwar has ever seen the sea. | :25:46. | :26:15. | |
The resettlement programme meant the family avoided the difficult | :26:16. | :26:17. | |
journey some Syrian refugees make trying to reach safety in Europe. | :26:18. | :26:20. | |
I am very sorry for them because it is hard and it is | :26:21. | :26:31. | |
Of course, I miss my father, mother, brothers and my sister. | :26:32. | :26:55. | |
But the hardest thing here is to miss my family. | :26:56. | :27:04. | |
For us, for the children, everything, yes. | :27:05. | :27:16. | |
I'd like to come back but if it is safe in Syria. | :27:17. | :27:25. | |
Wiltshire Council has now provided homes to 41 Syrian refugees but many | :27:26. | :27:43. | |
other local authorities, including some in the West, | :27:44. | :27:45. | |
have so far failed to resettle any at all. | :27:46. | :27:49. | |
I am very grateful to English people. | :27:50. | :27:56. | |
I want to say thank you very much, to the Queen and the government | :27:57. | :27:59. | |
There's more from us on Facebook and Twitter. | :28:00. | :28:15. | |
Roger Cook, I'd like to talk to you about money-laundering. | :28:16. | :28:22. | |
Next week, who killed John "Goldfinger" Palmer. | :28:23. | :28:27. | |
Veteran TV journalist Roger Cook is back with new revelations. | :28:28. | :28:32. | |
Have you got any idea how much is involved in this? | :28:33. | :28:36. | |
He said it was hundreds of millions in cash. | :28:37. | :29:06. | |
Hello, I'm Sima Kotecha with your 90 Second Update. | :29:07. | :29:08. | |
A man's been arrested after the bomb attacks in New York at the weekend. | :29:09. | :29:11. | |
28-year-old Ahmad Khan Rahami was found not far from where another | :29:12. | :29:14. | |
device was detonated in New Jersey this morning. | :29:15. | :29:18. |