Browse content similar to 18/10/2013. Check below for episodes and series from the same categories and more!
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Hello. This is BBC World News. Our top stories. Three more bodies are | :00:00. | :00:17. | |
found at the sight of the Kenyan shopping mall siege, two are likely | :00:18. | :00:24. | |
to be gunman. One of the suspects is identified by investigators as a | :00:25. | :00:25. | |
Norwegian citizen. China's economy picks up speed. It | :00:26. | :00:32. | |
grew by almost 8% in the last quarter, after slowing earlier this | :00:33. | :00:33. | |
year. Fires continue to sweep through the | :00:34. | :00:37. | |
Australian state of New South Wales. One man has been killed, and dozens | :00:38. | :00:39. | |
of homes destroyed. And, unveiling the mysteries of | :00:40. | :00:45. | |
sleep. Researchers identify the fundamental reason why we really | :00:46. | :00:46. | |
need that shut-eye. Nearly four weeks after militants | :00:47. | :01:12. | |
stormed an upmarket shopping complex in the Kenyan capital, details of | :01:13. | :01:15. | |
the attackers' identities are beginning to emerge. Two bodies | :01:16. | :01:21. | |
which were pulled from the rubble of the Westgate complex may well be | :01:22. | :01:23. | |
those of Al-Shabab militants, according to the Kenyan authorities. | :01:24. | :01:31. | |
And, in a separate development, a Norwegian investigation has | :01:32. | :01:34. | |
identified one of the men who planned and carried out the attack. | :01:35. | :01:39. | |
He's 23-year-old Hassan Dhuhulow, a Norwegian national who was born in | :01:40. | :01:44. | |
Somalia. Our East Africa correspondent Gabriel Gatehouse has | :01:45. | :01:45. | |
this special report. Until now, he has been known simply | :01:46. | :01:59. | |
black shirt. The BBC can reveal investigators believe this man shown | :02:00. | :02:05. | |
here firing this inside the shopping centre is Hassan Abdi Dhuhulow, a | :02:06. | :02:10. | |
23-year-old Norwegian citizen. New pictures have emerged of the moment | :02:11. | :02:14. | |
the attackers struck the Westgate shopping mall. Initially it was said | :02:15. | :02:20. | |
there were 15 attackers but footage has consistently shown only for | :02:21. | :02:24. | |
gunman of which Hassan Abdi Dhuhulow was believed one. They are seeing | :02:25. | :02:30. | |
here calmly wandering around the store, later some of them take time | :02:31. | :02:34. | |
to pray. Earlier this month, authorities released for names for | :02:35. | :02:39. | |
the men seeing him walking through the store room. In Nairobi, | :02:40. | :02:43. | |
investigators knew little more than the colour of their clothes. This | :02:44. | :02:54. | |
sleepy town seems as remote as possible from the ravages of | :02:55. | :03:02. | |
Somalia. This is Norway 's southern coast where Hassan Abdi Dhuhulow | :03:03. | :03:05. | |
spent his formative years. It was in this block of flats on the outskirts | :03:06. | :03:13. | |
of Larvik that we understand Hassan Abdi Dhuhulow lived as a teenager | :03:14. | :03:16. | |
with his family, until a few years ago. A neighbour told us he | :03:17. | :03:23. | |
disappeared and moved to Africa. The neighbour took a look at the CCTV | :03:24. | :03:28. | |
footage on inside Westgate. It might be him. In the black jacket? He | :03:29. | :03:33. | |
admits he hasn't seen his neighbour for four years but he points without | :03:34. | :03:38. | |
prompting to black shirt, apparently, breaking other sources | :03:39. | :03:44. | |
in Norway and can you. He was pretty extreme. In what ways? He was | :03:45. | :03:51. | |
talking about the Koran all the time. He didn't like the way we | :03:52. | :04:00. | |
lived here. Here is what we know about Hassan Abdi Dhuhulow. In | :04:01. | :04:05. | |
1999, he fled Mogadishu with his family. He returned to Somalia ten | :04:06. | :04:09. | |
years later hoping to build a life for himself. Since then, a family | :04:10. | :04:14. | |
member said he kept in sporadic contact, calling infrequently and | :04:15. | :04:19. | |
always from different Somali numbers. His last call was made this | :04:20. | :04:24. | |
summer. He was in trouble, he said, and wanted to come home. Between 20 | :04:25. | :04:31. | |
and 30 Norwegian citizens almost exclusively of Somali origin are | :04:32. | :04:34. | |
thought to have travelled to East Africa to join Al-Shabab. Of concern | :04:35. | :04:41. | |
is one group who were born in Somalia but who came to Norway at a | :04:42. | :04:47. | |
relatively young age. They need people that are quite ignorant on | :04:48. | :04:52. | |
Somalia. Which is dangerous, it will give them the chance of propaganda, | :04:53. | :04:56. | |
and make them more dangerous when they return to their home country. | :04:57. | :05:04. | |
This week, Somalis in Larvik came together to celebrate but this is a | :05:05. | :05:09. | |
community under pressure. Police had been keeping tabs on Hassan Abdi | :05:10. | :05:13. | |
Dhuhulow for some time. We showed the CCTV to his voted who did not | :05:14. | :05:17. | |
want to appear on camera. I do know what I feel, they said. If it is | :05:18. | :05:26. | |
him, he must have been brainwashed. That is what has emerged in Norway. | :05:27. | :05:31. | |
What is the latest information from Nairobi? | :05:32. | :05:40. | |
The information has come from the MP who chairs the Parliamentary | :05:41. | :05:46. | |
committee investigating the Westgate shopping mall attack. This | :05:47. | :05:51. | |
information, he gave to me just over an hour ago, he said that on | :05:52. | :05:56. | |
Thursday, two bodies, very charred bodies, were pulled from underneath | :05:57. | :06:02. | |
the rubble. And, in his words, it is highly likely that they are the | :06:03. | :06:05. | |
bodies of two of the gun men. As you mentioned, to AK-47 assault rifles | :06:06. | :06:13. | |
were also pulled out. Interestingly, those are not the kinds of rifles | :06:14. | :06:19. | |
used by the Kenyan military. So, further pointing to a suggestion | :06:20. | :06:23. | |
that these are the bodies of the gunman. As you said, we do not know | :06:24. | :06:28. | |
for certain as yet, and there will be forensic tests carried out. The | :06:29. | :06:34. | |
same MP also told me a third body was pulled out from under the | :06:35. | :06:37. | |
rubble, and that, he said, was likely to be the body of one of the | :06:38. | :06:46. | |
Kenyan soldiers who tried to end the four-day siege. It is quite | :06:47. | :06:51. | |
surprising that about three weeks after the heavy lifting equipment | :06:52. | :06:55. | |
went to the scene to try to lift up the concrete, the rubble which had | :06:56. | :07:00. | |
descended after part of the shopping mall collapsed, it is surprising, | :07:01. | :07:04. | |
three weeks on after that machinery was on the scene, we are still | :07:05. | :07:08. | |
hearing about bodies being pulled out. | :07:09. | :07:14. | |
What are the implications for the number of militants involved? It was | :07:15. | :07:19. | |
ten - 15, it had been suggested only four people. | :07:20. | :07:27. | |
The only evidence we have got comes from the CCTV footage. Over the last | :07:28. | :07:33. | |
24 hours, once again it is just for men we are seeing on that CCTV | :07:34. | :07:39. | |
footage. Obviously, quite shocking for many people that such havoc | :07:40. | :07:43. | |
could be caused on this shopping mall, for four days, when it was | :07:44. | :07:48. | |
only we understand for men who did it. The Kenyan authorities at the | :07:49. | :07:52. | |
time of the siege, they said it was between ten and 15 gun men. I ought | :07:53. | :07:58. | |
to add a lot of the information we were passed from the Kenyan | :07:59. | :08:01. | |
authorities has proved to be incorrect as days have gone on. | :08:02. | :08:10. | |
China has released its official GDP figures, and they showed that the | :08:11. | :08:13. | |
economy sped up in the third quarter. The Chinese government will | :08:14. | :08:18. | |
hit its growth target of 7.5% for the year. Now, that would be the | :08:19. | :08:26. | |
slowest growth rate since 1999, in the aftermath of the Asian financial | :08:27. | :08:29. | |
crisis. But still, some say it's uncanny how the government never | :08:30. | :08:33. | |
misses the mark. There's more questions than ever about the | :08:34. | :08:36. | |
reliability of Chinese figures. Our chief business correspondent Linda | :08:37. | :08:38. | |
Yueh investigates the mystery of dodgy data. | :08:39. | :08:47. | |
Numbers are important in China. And Chinese numbers are important to a | :08:48. | :08:52. | |
world relying on China's growth. But, can we trust the numbers we are | :08:53. | :08:56. | |
being given? This website has caused a clamour in China. The National | :08:57. | :09:02. | |
Bureau of Statistics of China has begun to name and shame local | :09:03. | :09:07. | |
governments who fake economic data. Over the past few months, a county | :09:08. | :09:10. | |
in Guangzhou exaggerated industrial production by four times its actual | :09:11. | :09:18. | |
value. And, on this web page, it says a county in one province has | :09:19. | :09:21. | |
declared double the amount of output its companies are actually | :09:22. | :09:24. | |
producing. Those companies have come back to say local governments made | :09:25. | :09:28. | |
them do it. Either way, one thing is clear. Dodgy data in China has now | :09:29. | :09:32. | |
been officially acknowledged. Unofficially, it has been talked | :09:33. | :09:40. | |
about for a long time. Accusations that some local governments inflate | :09:41. | :09:43. | |
the numbers to please a capital hungry for good economic results. | :09:44. | :09:46. | |
Economist Chris Balding says growth might be half what the government | :09:47. | :09:51. | |
says. I think most figures in China should | :09:52. | :09:58. | |
be taken with a large grain of salt. Even in China, the Chinese populace | :09:59. | :10:02. | |
treats them as art than science, or reliable indicators of reality. | :10:03. | :10:09. | |
Statistics on construction, for example, might be over-reported. Or | :10:10. | :10:12. | |
projects could be financed by debt that could cause problems later on. | :10:13. | :10:21. | |
That's why even the Premier was reported to say he relied on | :10:22. | :10:24. | |
indicators like the volume of goods being shipped by trains, because you | :10:25. | :10:27. | |
count it independently. TRANSLATION: I don't think there's | :10:28. | :10:33. | |
grounds to be suspicious. Generally, China's GDP figures are quite | :10:34. | :10:36. | |
accurate, and it does reflect the truth of the Chinese economy. | :10:37. | :10:41. | |
Maths and getting your numbers right is drilled into Chinese students | :10:42. | :10:44. | |
from an early age. Not necessarily motivated by love of sums. | :10:45. | :10:49. | |
Why is it important to you to get your sums right? | :10:50. | :10:56. | |
I am scared of my mum, eight-year-old Hank tells me. | :10:57. | :11:10. | |
Local authorities may fear they will be scolded for failing Beijing. But | :11:11. | :11:13. | |
if the GDP figures aren't right, we're probably wrong about the scale | :11:14. | :11:17. | |
of China's state too, and that would be a huge miscalculation. | :11:18. | :11:22. | |
They're the worst bush fires for ten years in Australia's state of New | :11:23. | :11:26. | |
South Wales. Fire fighters have witnessed flames 20 to 30 metres | :11:27. | :11:27. | |
high. Look at the smoke over Sydney | :11:28. | :11:36. | |
Harbour. Nearly 100 wildfires have raged in the country's most populous | :11:37. | :11:41. | |
state. 20 are out of control. Australians live with the | :11:42. | :11:43. | |
inevitability of bush fires in summer. But not this early. | :11:44. | :11:45. | |
Temperatures have eased since Thursday. But, as summer builds, | :11:46. | :11:51. | |
more hot weather is forecast next week. But it's still spring, so | :11:52. | :11:55. | |
there are fears of a difficult summer fire season to come. | :11:56. | :12:05. | |
So what do we know so far? Numbers are not yet precise. It's reported | :12:06. | :12:09. | |
at more than 200 homes have been destroyed. At least three fire | :12:10. | :12:26. | |
fighters are reported injured. Many worst-affected areas are here in the | :12:27. | :12:29. | |
Blue Mountains, 70 kilometres west of Sydney, a much sought-after | :12:30. | :12:31. | |
residential suburban area in glorious locations. 2,000 fire | :12:32. | :12:34. | |
fighters are there working 24/7 to try to contain the fires. Meanwhile, | :12:35. | :12:37. | |
Australian Prime Minister Tony Abbott, a volunteer fire fighter | :12:38. | :12:40. | |
himself, has been to visit some of the worst-affected areas. He | :12:41. | :12:43. | |
expressed his concerns that the fire could go on for time to come. | :12:44. | :12:50. | |
Today is a much quieter day than yesterday. But this is a fire | :12:51. | :12:54. | |
emergency which could go on for quite some time. There are hundreds | :12:55. | :12:59. | |
of people who are grieving the loss of property, tragically there has | :13:00. | :13:08. | |
been, it seems, one life lost further north. Someone who was | :13:09. | :13:14. | |
defending his house. We grieve for everyone impacted by these fires. | :13:15. | :13:21. | |
Neil Bibby is a retired fire chief now living in New South Wales, he | :13:22. | :13:26. | |
joins us on Skype. Thank you for joining me. How well | :13:27. | :13:32. | |
prepared these days is Australia? You went through Victoria where | :13:33. | :13:35. | |
there were fires in this kind of season. We are far more prepared | :13:36. | :13:39. | |
than before. One thing people come to realise is | :13:40. | :13:46. | |
it is their responsibility as well as the Fire Service. It is a joint | :13:47. | :13:51. | |
effort. Not just the Fire Service helping citizens. It is doing it | :13:52. | :13:56. | |
together. What do you say as a former senior | :13:57. | :14:00. | |
fire officer when you know people are moving into homes which will be | :14:01. | :14:07. | |
this foldable in these locations? It is not just Australia, France, | :14:08. | :14:12. | |
Spain, America, it is all over the place. People are moving here for | :14:13. | :14:18. | |
lifestyle purposes. You need to understand what the risk is. There | :14:19. | :14:26. | |
are four areas, three errors we should be aware of when you move | :14:27. | :14:31. | |
into those areas. The first one is the construction of your home and | :14:32. | :14:35. | |
how you can be protected from a fire. The second is understand the | :14:36. | :14:40. | |
information that will come through, radio, TV, have batteries in your | :14:41. | :14:46. | |
radio. Be aware of the websites where the local Fire Service put out | :14:47. | :14:51. | |
messages, and on Twitter feeds. And, generally, prepare for what can | :14:52. | :14:56. | |
be disasters, using things like current Twitter feeds which give you | :14:57. | :15:05. | |
an understanding of what you should do in a disaster. It is a community | :15:06. | :15:09. | |
that has to be prepared. you were fire chief for Victoria and | :15:10. | :15:25. | |
were there until five years ago. How much did the Victorian mentality | :15:26. | :15:30. | |
change after nearly 200 people were killed? | :15:31. | :15:36. | |
The change that has taken place over the last two years, not just with | :15:37. | :15:43. | |
fires, but with climate change coming in, and we understand the | :15:44. | :15:50. | |
fires we are getting now are going to be the future for Australia and a | :15:51. | :15:57. | |
lot of other places. Therefore, be prepared and start to build | :15:58. | :16:00. | |
appropriately in those areas is one of the changes. Thank you very much | :16:01. | :16:08. | |
for joining me live. Stay with us here, still to come: We meet the | :16:09. | :16:17. | |
real $6 million man. Although he probably did not cost that much, and | :16:18. | :16:21. | |
his name is Frank and he is the world's first bionic man. | :16:22. | :16:28. | |
Nearly 200 migrants have been rescued from the Mediterranean in | :16:29. | :16:34. | |
two separate operations. The Italian coastguard and the US Navy both | :16:35. | :16:38. | |
pulled people from the sea in rough conditions. Italy has increased the | :16:39. | :16:44. | |
size and scale of monitoring, particularly around the island of | :16:45. | :16:48. | |
Lampedusa after the deaths of more than 300 people just off the coast | :16:49. | :16:54. | |
couple of weeks ago. This coastguard cutter is in | :16:55. | :16:58. | |
Harborough right now, but she spends much of her time out at sea on the | :16:59. | :17:03. | |
hunt for those boat loaded with migrants that come up from the | :17:04. | :17:09. | |
Libyan or Tunisian coast, boats that our unseaworthy and overcrowded, | :17:10. | :17:13. | |
exactly the kind of vessels that were involved in those catastrophic | :17:14. | :17:18. | |
sinkings in recent weeks of these islands, thinking is that cost | :17:19. | :17:24. | |
hundreds of lives. Here on the bridge on the chart a desk you get a | :17:25. | :17:28. | |
sense of the sea area we are talking about. There is Sicily and here is | :17:29. | :17:34. | |
the post of Tunisia and that is Libya. That is Lampedusa island. | :17:35. | :17:42. | |
This coastguard cutter is looking to intercept in this area boat loaded | :17:43. | :17:46. | |
with migrants coming up mostly from Libya. When we intercept these | :17:47. | :17:57. | |
ships, that are in general little fishing vessels made of wood, or a | :17:58. | :18:02. | |
little rubber boats, if the situation is dangerous, we take | :18:03. | :18:11. | |
immediate action in order to keep these boats near to our ship. We | :18:12. | :18:20. | |
keep all the migrants on board our ship. When this coastguard vessel | :18:21. | :18:27. | |
finds a boat packed with migrants in need of rescue, it would normally | :18:28. | :18:33. | |
launch one of its rubber dinghies. Just imagine the scene. It might be | :18:34. | :18:37. | |
at night, the sea might be rough, there might be hundreds of migrants | :18:38. | :18:43. | |
desperate to be picked up, moving around in a chaotic way on an | :18:44. | :18:50. | |
already sinking boat. The moment of rescue is sometimes the most | :18:51. | :18:56. | |
dangerous. There could be a risk of capsize or migrants spilling into | :18:57. | :19:01. | |
the sea around the Dinky. This is BBC world News. The | :19:02. | :19:07. | |
headlines: one of the men suspected of carrying out last month's attack | :19:08. | :19:11. | |
on a shopping centre in Kenyan has been identified as a Norwegian | :19:12. | :19:18. | |
citizen. Meanwhile, two bodies found at the site may be those of | :19:19. | :19:22. | |
Al-Shabab terrorists. One man has died and dozens of homes | :19:23. | :19:27. | |
have been destroyed or damaged in the Australian state of New South | :19:28. | :19:31. | |
Wales. The fires are the worst in the state for ten years. | :19:32. | :19:36. | |
Imlay 's emergency workers have recovered at least 17 bodies on the | :19:37. | :19:41. | |
record -- wreckage of a plane which crashed into the Mekong River | :19:42. | :19:47. | |
earlier this week. The Lao Airlines plane went down in severe weather | :19:48. | :19:50. | |
and nobody is thought to have survived. | :19:51. | :19:56. | |
Beneath these murky waters lies much of the wreckage and many of the | :19:57. | :20:01. | |
bodies. Teams of divers and rescue crews scoured the vast waterway, but | :20:02. | :20:06. | |
the Mekong River is deep and the current is strong. TRANSLATION: I | :20:07. | :20:12. | |
think the diving will be difficult. It is a very fast flowing river from | :20:13. | :20:19. | |
the current. There is no hope of finding survivors now. There were 49 | :20:20. | :20:23. | |
people on board and they came from all over the world. It is still not | :20:24. | :20:29. | |
clear what called the crash, but it is believed the plane ran into | :20:30. | :20:33. | |
strong winds before it struck the river and plunged into the water. It | :20:34. | :20:38. | |
was due to land just 70 kilometres away. For those who had relatives on | :20:39. | :20:44. | |
board the weight is excruciating. Some have gathered in a local hotel | :20:45. | :20:50. | |
waiting for news. This man was at the airport to meet his brother when | :20:51. | :20:55. | |
he heard a plane had gone down. TRANSLATION: I could not sleep at | :20:56. | :20:59. | |
all after I heard what happened. I am still very shocked. I advised him | :21:00. | :21:04. | |
not to come because of the heavy rain, but he still got the plane. A | :21:05. | :21:10. | |
makeshift morgue has been set up in the nearby temple, but most of the | :21:11. | :21:15. | |
bodies are thought to be submerged in the nearby waters, trapped under | :21:16. | :21:18. | |
the wreckage. Have you met Frank? He might not be | :21:19. | :21:25. | |
the $6 million man, but he is the closest thing so far to a real | :21:26. | :21:30. | |
bionic man. He is built entirely from synthetic versions of real body | :21:31. | :21:35. | |
parts. He has just gone on show in Washington. | :21:36. | :21:48. | |
Add more than six feet high, this is Frank, the most advanced bionic man | :21:49. | :21:54. | |
in the world here at Washington's DC Smithsonian Museum. He has | :21:55. | :22:04. | |
artificial body parts, including a parking at a pumping heart. Tell me | :22:05. | :22:11. | |
the purpose of Frank. It was to find out how far bionic technology has | :22:12. | :22:16. | |
come already. What happens if we get all of the spare parts for the human | :22:17. | :22:21. | |
body that exist today and put them together in one piece. This is what | :22:22. | :22:26. | |
it would have looked like. We have an artificial heart that is already | :22:27. | :22:32. | |
used on patients. That Palm is artificial blood that can give of | :22:33. | :22:37. | |
oxygen like real blood. We have the first prototype of an artificial | :22:38. | :22:41. | |
lung. The spleen for cleaning the blood, and an artificial kidney. How | :22:42. | :22:51. | |
close is this to a real human? It is still very far away from a real | :22:52. | :22:56. | |
human. Despite showing how far bionic technology has come, this | :22:57. | :23:01. | |
project also shows us how little advancements have been made in other | :23:02. | :23:07. | |
areas. We were unable to find a replacement for the brain, for | :23:08. | :23:12. | |
examples. The most advanced piece of software we found was very thick. | :23:13. | :23:19. | |
Frankie can actually talk as well. I am interviewing the world's first | :23:20. | :23:24. | |
bionic man. Frank, will there be a bionic woman? I hope so. A companion | :23:25. | :23:32. | |
would be great, but unfortunately I am missing a fewer important parts. | :23:33. | :23:37. | |
He has also got a sense of humour. Will there be a day when bionic | :23:38. | :23:46. | |
people replace humans? Currently all of my parts are supposed to benefit | :23:47. | :23:50. | |
humans, not replace them, but even robots have dreams. Thank you very | :23:51. | :23:58. | |
much, Frank. He is looking for a partner, so bionic woman on the | :23:59. | :24:02. | |
lookout. Does Frank ever have two sleep? Do you ask why do I have two | :24:03. | :24:11. | |
spent hours sleeping? Researchers in the US say they have identified one | :24:12. | :24:15. | |
of the fundamental reasons which is all to do with brain recovery. | :24:16. | :24:20. | |
Scientists at the University of Rochester say experiments on mice | :24:21. | :24:24. | |
suggest the brain uses sleep to flush out waste toxins which build | :24:25. | :24:31. | |
up when we are awake. One researcher said, our brains are like the hosts | :24:32. | :24:35. | |
at a party. They can either entertain the guests or clean up the | :24:36. | :24:42. | |
mess, but not both at the same time. Let's speak to Professor Russell | :24:43. | :24:45. | |
Foster from the University of Oxford. Let me put you what the | :24:46. | :24:54. | |
University of Rochester has said. This cleaning mechanism is like a | :24:55. | :25:01. | |
dishwasher. What does he mean? What he is talking about is the brain and | :25:02. | :25:06. | |
the body generally has to do lots of housekeeping functions. In this | :25:07. | :25:11. | |
recent paper from Rochester is a super study showing there is another | :25:12. | :25:15. | |
thing going on during sleep, and it is the clearance of toxins. Lots of | :25:16. | :25:24. | |
other things are going on, like memory and information processing. | :25:25. | :25:29. | |
If you want to come up with solutions to complex problems, a | :25:30. | :25:33. | |
night of sleep is shown to be incredibly important for that. This | :25:34. | :25:38. | |
is yet another import an example of lots of things going on during | :25:39. | :25:45. | |
sleep. Is it only about the brain? We are off-loading toxins when we | :25:46. | :25:49. | |
are snoring? Most of the emphasis has been on what has been going on | :25:50. | :25:58. | |
in the sleeping brain? But this is showing what has gone on in the | :25:59. | :26:03. | |
brain and the general circulation. It emphasises sleep is not just | :26:04. | :26:07. | |
something going on in the brain, but an entire body function. We have 30 | :26:08. | :26:14. | |
seconds. Is it the question of the longer you sleep the more toxins you | :26:15. | :26:18. | |
get rid of through that dishwasher while you are in bed? It will | :26:19. | :26:24. | |
depend. During the first few hours is when you get rid of most of them | :26:25. | :26:28. | |
and after that it does not matter very much and something else is | :26:29. | :26:33. | |
going on. I suspect a lot of the clearance goes on during the first | :26:34. | :26:38. | |
few hours and after that it is less. But if you had a massive build up of | :26:39. | :26:43. | |
toxins, you will need a longer time to get rid of them and that might | :26:44. | :26:50. | |
change with age as well. That is a remarkable breakthrough. There have | :26:51. | :26:56. | |
been developments in Nairobi with two bodies found at the Westgate | :26:57. | :26:59. | |
shopping centre. He's the one that's going to present | :27:00. | :27:10. | |
us with the ten grand WHEN we win it. | :27:11. | :27:14. |