0:00:00 > 0:00:00Now on BBC News, it is time for Click.
0:00:08 > 0:00:15This week, the app that helps record and report sexual assault. The AI
0:00:15 > 0:00:24going after cancer. And the man who wants us all to the four other. --
0:00:24 > 0:00:27live forever.
0:00:45 > 0:00:52As International Women's Day was marked this week, it brought with it
0:00:52 > 0:00:55further focus on the many issues still to be faced in bringing about
0:00:55 > 0:01:00true gender equality in all walks of life. The technology industry, of
0:01:00 > 0:01:04course, has its own issues, as we will hear later. Silicon Valley's
0:01:04 > 0:01:08culture and its treatment of women raises a lot of questions. But tech
0:01:08 > 0:01:15can also be a force for good. It has been just six months or so since the
0:01:15 > 0:01:19Me Too movement gave a voice to so many women around the world, who
0:01:19 > 0:01:22used social media to expose just how widespread sexual harassment and
0:01:22 > 0:01:27assault is. Many women feel that reporting sexual assault can also be
0:01:27 > 0:01:31really traumatic, and the experiences of some women in Silicon
0:01:31 > 0:01:35Valley had spurred them to create something that may make that just a
0:01:35 > 0:01:41little bit easier. Our correspondent has travelled to Stanford University
0:01:41 > 0:01:46to meet survivors of sexual abuse, and the creators of Callisto. Every
0:01:46 > 0:01:52tattoo tells a story. For this Stanford University student, the
0:01:52 > 0:01:57story is bittersweet. She was one of 50 sexual assault survivors invited
0:01:57 > 0:02:03to share the stage with Lady Gaga during the 2016 Oscars.While we
0:02:03 > 0:02:07were rehearsing, I remember at one point we were all crying and hugging
0:02:07 > 0:02:12each other, and someone just said we need to get a tattoo to commemorate
0:02:12 > 0:02:16this and to give us strength. Something to look at when you are
0:02:16 > 0:02:22feeling down, and you know that you're alone.Lin says that a few
0:02:22 > 0:02:27days after she was assaulted by a friend in 2015, she told the title
0:02:27 > 0:02:30nine office which investigate sexual misconduct.I decided to report
0:02:30 > 0:02:35because I didn't want him to do it to anyone else, and later I did find
0:02:35 > 0:02:38out that he had done a lot of... A lot of harassment, stalking, and
0:02:38 > 0:02:43also assault on someone else.What was that experience like?It was
0:02:43 > 0:02:47awful. My GPA dropped down, and I was fighting with the school back
0:02:47 > 0:02:54and forth every single hour of every single day.Lin, now an activist,
0:02:54 > 0:02:58wants greater transparency in the adjudication process.They are
0:02:58 > 0:03:01trying to cover up the number of sexual assault that happen on their
0:03:01 > 0:03:05campus, because that makes your university look safer. It's better
0:03:05 > 0:03:09for your public relations.Stanford told Click...
0:03:14 > 0:03:20Stanford changed its title nine process in 2016, and has begun
0:03:20 > 0:03:25reporting case numbers. In the US, one in five women is sexually
0:03:25 > 0:03:30assaulted while in college.I was sexually assaulted by a friend. Over
0:03:30 > 0:03:34a year after that happened, I decided to report my assault, and I
0:03:34 > 0:03:38ended up finding the process of reporting to be more traumatic than
0:03:38 > 0:03:43the event itself. Feeling not believed by the people who I thought
0:03:43 > 0:03:53were there to protect me was incredibly destabilising.Jessica
0:03:53 > 0:03:58Lad's ordeal spurred her to create Callisto, so survivors would have a
0:03:58 > 0:04:04way of reporting sexual assault. They can have a timestamp, doesn't
0:04:04 > 0:04:08have to go anywhere if they don't want to, send it to authorities in
0:04:08 > 0:04:11their school, or three, just say what happened to them for now but
0:04:11 > 0:04:15report electronically if someone else makes the same assailant.You
0:04:15 > 0:04:20can think of it as an international information as scroat agency.
0:04:20 > 0:04:24Students often report to protect others. This matching feature helps
0:04:24 > 0:04:29do that by detecting repeat offenders.People might use
0:04:29 > 0:04:32different names, they may look different. How do you make sure you
0:04:32 > 0:04:37have got the right person? We ask victims to put in not just the name
0:04:37 > 0:04:41of their perpetrator, but also a series of unique identifiers.
0:04:41 > 0:04:45Currently, Facebook profiles I used to match. Some students want more
0:04:45 > 0:04:49ways to idea, and Callisto may add mobile numbers and e-mail addresses
0:04:49 > 0:04:54in the future. 12 US colleges use Callisto. The University of San
0:04:54 > 0:04:59Francisco was the first.We knew students won't reporting. If you
0:04:59 > 0:05:03look at our numbers from once we first started with Callisto, three
0:05:03 > 0:05:07years ago, to now, there is definitely an increase in reporting.
0:05:07 > 0:05:11Callisto allows for our students to write what happened, to write about
0:05:11 > 0:05:15the incident. And sometimes just riding your perpetrator's name gives
0:05:15 > 0:05:21people power.Seeing the need for Callisto, she led an effort to bring
0:05:21 > 0:05:27it to Stanford.It is just available 24 - seven, and they have seen
0:05:27 > 0:05:31spikes in usage during times like spring break, when the title nine
0:05:31 > 0:05:35office might not be available, but students wanted to file a report, or
0:05:35 > 0:05:39during the weekend, when no one is staffing.With Callisto, survivors
0:05:39 > 0:05:46recount what happened at the own pace, privately.Often victims
0:05:46 > 0:05:49including in-person interviews what is incredible, so they want to fill
0:05:49 > 0:05:54in the details and tell a wonderful story arc. At that is not how memory
0:05:54 > 0:05:57works, and that is particularly not how memory works in the event of
0:05:57 > 0:06:01trauma. So being able to allow somebody to say I don't know the
0:06:01 > 0:06:05centre, I am not sure that, and only record think that they are sure of,
0:06:05 > 0:06:08is really essential to make sure that that time stamped record isn't
0:06:08 > 0:06:12later used against them.Students must create a username, password and
0:06:12 > 0:06:18pass phrase that be recovered. Not quite a one click sign up. That
0:06:18 > 0:06:22deters some users. For Callisto, it ensures drivers see.Because then we
0:06:22 > 0:06:26would have to be storing the password, which means that we could
0:06:26 > 0:06:30potentially decrypt the data, and we want to make sure that even we can't
0:06:30 > 0:06:34view it.Since students choose whether to report assaults, some
0:06:34 > 0:06:38records are never seen by schools. They are still useful.We provide
0:06:38 > 0:06:42our institutions with at an aggregate data report that gives
0:06:42 > 0:06:50them a better sense of what is happening in that record, what type
0:06:50 > 0:06:54of years are assault reporting, what classy as are involved?Others are
0:06:54 > 0:06:59also working to make reporting less daunting. The spot app creates a
0:06:59 > 0:07:07record from the user's conversation with a chat bot, while all will let
0:07:07 > 0:07:10them report electronically. Lin is in short electronic reporting would
0:07:10 > 0:07:15have changed her was handled, but she see the potential.What I think
0:07:15 > 0:07:19Callisto is great for is to track perpetrators, if they decide to
0:07:19 > 0:07:22apply for grad school or transfer schools, I think that is where this
0:07:22 > 0:07:26can really come in and have a very powerful effect.as we grow, we want
0:07:26 > 0:07:30to create one system, one database that allows us to track any
0:07:30 > 0:07:33perpetrator, even as they move through space and time. Which would
0:07:33 > 0:07:37give survivors away to find out if there are seven is a repeat
0:07:37 > 0:07:51offender, something Jessica Ladd says she wonders to this day. That
0:07:51 > 0:07:54was Sumi Das, at Stanford University. Now, while Callisto was
0:07:54 > 0:07:59created a team of mostly women, that is rare. Even right here in Silicon
0:07:59 > 0:08:05Valley. Whenever I have been to visit, I have found it all too easy
0:08:05 > 0:08:09to think of the valley as sharing the Progressive values of San
0:08:09 > 0:08:14Francisco, where all colours and genders seem welcome. But the people
0:08:14 > 0:08:17I have met, those in charge of the start-ups and attack giants, have
0:08:17 > 0:08:22been mainly men. It is quite obvious to us that women are
0:08:22 > 0:08:26underrepresented here, and there are those who feel that Silicon Valley
0:08:26 > 0:08:31is just as full of sexism and masculine culture as anywhere else.
0:08:31 > 0:08:35It is the social challenge...Emily Chang is a San Francisco journalist,
0:08:35 > 0:08:44and a host of Bloomberg Technology. And in her new book, Brotopia, she
0:08:44 > 0:08:47has written about the industry that has always self-selected for men.
0:08:47 > 0:08:52First came the antisocial nerd who suddenly became part of the ruling
0:08:52 > 0:08:57class, and now she says it is the time of the cocky, self-confident
0:08:57 > 0:09:01risk taker, the bro.Silicon Valley is the heart of the most powerful
0:09:01 > 0:09:04industry in the world, and that is the technology industry. This is a
0:09:04 > 0:09:09world that is controlling what we see, what we read, how we shop, how
0:09:09 > 0:09:13we communicate, how we get around. The reality is, the exclusion from
0:09:13 > 0:09:16this incredible and aggressive industry was not inevitable. It
0:09:16 > 0:09:21didn't have to be this way. I think of all the women out there who might
0:09:21 > 0:09:24have started the next Facebook or the next Google or the next Apple,
0:09:24 > 0:09:28but never got the chance because they didn't look the part. And that
0:09:28 > 0:09:33is something that needs to change. Women hold just 25% of jobs across
0:09:33 > 0:09:37the computing industry. They account for 7% of investors. Women led
0:09:37 > 0:09:42companies get just 2% of venture capital funding. The most important
0:09:42 > 0:09:48thing that we need to do is to acknowledge that Silicon Valley has
0:09:48 > 0:09:53become toxic for women. So what is bro culture? Well, it is exactly
0:09:53 > 0:10:00what it sounds like. Fratty parties, beer, behaviour that is alienating
0:10:00 > 0:10:04towards women. I had 12 women over at my home most them engineers who
0:10:04 > 0:10:13work at companies like Uber and Google and the Uber engineers told
0:10:13 > 0:10:17me they would often be invited to strip clubs and bondage clubs in the
0:10:17 > 0:10:21middle of the day, and so much of the working culture gets done
0:10:21 > 0:10:24outside of the office, so at the bar, at the conference, in a hotel
0:10:24 > 0:10:28lobby, and they are stuck in sort of an impossible Catch-22. If they
0:10:28 > 0:10:31attend, they are disrespected and discredited. If they don't, they are
0:10:31 > 0:10:33shut out of important business and networking opportunities, because
0:10:33 > 0:10:39very powerful people, very powerful men, are at these parties. So many
0:10:39 > 0:10:43female entrepreneurs that I have spoken to have not just one story,
0:10:43 > 0:10:46but several stories to tell about how an investor has crossed a line.
0:10:46 > 0:10:50You know, one of the most sort of egregious examples that I have found
0:10:50 > 0:10:55is an investor who... A very prominent investor in countries to
0:10:55 > 0:11:01make companies like Twitter and Uber who often hosted hot tub parties at
0:11:01 > 0:11:05his home. Well, what female driven wants to get in a hot tub and future
0:11:05 > 0:11:09business while wearing a bikini and drinking beer? These are the kinds
0:11:09 > 0:11:13of activities that have been very alienating the women, and
0:11:13 > 0:11:15unfortunately have created a very unlevel playing field in Silicon
0:11:15 > 0:11:22Valley. I think about how different the world might be if women had been
0:11:22 > 0:11:26at the creation of some of these companies from the start. I sat down
0:11:26 > 0:11:31with Twitter co-founder Ed Williams, and I asked him, F women had been
0:11:31 > 0:11:34involved in the founding of Twitter, would online harassment and trolling
0:11:34 > 0:11:38be such a problem? And he said he doesn't think so. They were thinking
0:11:38 > 0:11:41about that when they were building Twitter. They were thinking about
0:11:41 > 0:11:45all the wonderful and amazing things that can be done with Twitter, they
0:11:45 > 0:11:49won't thinking about how it can be used to send death threats or rape
0:11:49 > 0:11:52threats. And as a result, online harassment is one of the biggest
0:11:52 > 0:11:57problems plaguing internet today. If women had been more involved in
0:11:57 > 0:12:00building these products, and building these services, maybe
0:12:00 > 0:12:06online harassment and trolling wouldn't be such a problem. I fully
0:12:06 > 0:12:10believe that the people who have already changed the world in so many
0:12:10 > 0:12:14wondrous ways, the people who are taking us to Mars, the people who
0:12:14 > 0:12:17are building self driving cars, the people who have given us right at
0:12:17 > 0:12:27the push of a button, if they can do all that, they can change this too.
0:12:31 > 0:12:37Hello, and welcome to the week intact. It was the week that Sony
0:12:37 > 0:12:42blocked the videogame Super Seducer for being released on the
0:12:42 > 0:12:46PlayStation 4. It has been criticised as too sleazy and for
0:12:46 > 0:12:51promoting toxic behaviour. Dyson announced they will not be making
0:12:51 > 0:12:55plug-in vacuum cleaners any more, they will be working on their
0:12:55 > 0:13:02cordless range. The dating app Bumble has been band uses from
0:13:02 > 0:13:06posing with guns, though an exception has been made for military
0:13:06 > 0:13:10and law enforcement. And a robot managed to solve a Rubik 's cube
0:13:10 > 0:13:15under a second. Link you will miss it. Here it is in slow mode. It was
0:13:15 > 0:13:19the week that mobile companies Three and Vodafone came under
0:13:19 > 0:13:23investigation over the way they handle data on their network. Com is
0:13:23 > 0:13:27looking at whether they are intentionally slowing down internet
0:13:27 > 0:13:31speeds while customers are abroad. Internet others invaded New York's
0:13:31 > 0:13:36Museum of modern Art, transforming the Jackson Pollock room into their
0:13:36 > 0:13:40own augmented reality gallery without the museum's permission. The
0:13:40 > 0:13:44project was called hello, we are from the internet. And finally,
0:13:44 > 0:13:48Flippy the robot has been working at a restaurant in Los Angeles. Their
0:13:48 > 0:13:54job, as you guessed it, is to flip burgers. Using imaging and heat
0:13:54 > 0:13:58sensing to flip, Flippy is being installed at 50 locations, but it is
0:13:58 > 0:14:04not cheap, at $60,000 a robot. Hope those burgers taste good.
0:14:07 > 0:14:10The idea of personalised or precision medicine is really gaining
0:14:10 > 0:14:15ground, and in the not too distant future, every single time we're
0:14:15 > 0:14:18prescribed something, exactly what that is could be dependent on our
0:14:18 > 0:14:28height, weight, sex and even our genetic make up.
0:14:28 > 0:14:31Personalising your medication doesn't always need complex
0:14:31 > 0:14:35biomedical data to be beneficial, though. What I have here is the Beta
0:14:35 > 0:14:40version of the app. You input your data first, your height, your
0:14:40 > 0:14:43weight, your sex and details of any other medication you're taking,
0:14:43 > 0:14:48because that could have an affect. After you've done that you can put
0:14:48 > 0:14:52in information on what drug you're about to take. And this is how you
0:14:52 > 0:14:58do it. So this is paracetamol. Now, I would probably take two 500 mg
0:14:58 > 0:15:01tablets, so let's see the effect that would be likely to have. It's
0:15:01 > 0:15:05going to last about four hours, which is pretty much what I would
0:15:05 > 0:15:09have expected, but where this dark blue is showing it shows I could be
0:15:09 > 0:15:13ever so slightly overdosing, so someone of my height and weight
0:15:13 > 0:15:17maybe doesn't need to be taking to tablets in one go. While the dark
0:15:17 > 0:15:21blue may represent a little more than needed, when you're clearly
0:15:21 > 0:15:27taking too much the dial will turn fully read.With a simple
0:15:27 > 0:15:31questionnaire on you, on your environment, on your body, with
0:15:31 > 0:15:35something like five or six seconds we can cover something like 90% of
0:15:35 > 0:15:41the questions and for the ten remaining % we need complimentary
0:15:41 > 0:15:46information, like RUH smoker or not, which kind of regimented you have,
0:15:46 > 0:15:50of course genetics. Weitering pharmacists in the future Strood
0:15:50 > 0:15:54have an important role to play in this ecosystem that we think. Not
0:15:54 > 0:15:59only by selling drugs but by selling the exact drugs and the exact dose
0:15:59 > 0:16:04for the patients.Artificial intelligence is at the forefront of
0:16:04 > 0:16:07this revolution, analysing massive quantities of biomedical data that
0:16:07 > 0:16:13could transform treatment.Well, imagine you're a scientist and you
0:16:13 > 0:16:17could read every piece of information that had ever been
0:16:17 > 0:16:21written about biomedicine. You could store that information and then you
0:16:21 > 0:16:27could use it to make new discoveries in diseases.There are billions of
0:16:27 > 0:16:31potential combinations of genes, diseases and drugs and here hugely
0:16:31 > 0:16:38powerful algorithms are at work to establish the best combinations.
0:16:38 > 0:16:42Genetics will also play a central role in personalising what you're
0:16:42 > 0:16:46prescribed in future. Astrazeneca are analysing genomes from over 2
0:16:46 > 0:16:53million people, and this data could soon be at your GP's fingertips.
0:16:53 > 0:16:56Patients will actually be at the point where maybe they'll be able to
0:16:56 > 0:17:02go into the clinic, go into your local GP, and have that information
0:17:02 > 0:17:07already available. The doctor will then be able to look up not only the
0:17:07 > 0:17:11type of genotyping but also your individual Jelic I, and match that
0:17:11 > 0:17:16to the best medicine for you. Some people are even talking about doing
0:17:16 > 0:17:23this at birth so when you develop a disease, the Doctor's already got
0:17:23 > 0:17:28your DNA.So any one size fits all approach to medicine could soon
0:17:28 > 0:17:32become a thing of the past, with your prescription always being
0:17:32 > 0:17:42specific to your needs. That was Lara looking at the very special
0:17:42 > 0:17:47techniques that may soon treat the diseases none of us want to face.
0:17:47 > 0:17:52But there are those who are going further, they're not just trying to
0:17:52 > 0:17:55treat, manage and queue up life shortening diseases, they're
0:17:55 > 0:18:01actually trying to lengthen the human lifespan. In and I'm assuming
0:18:01 > 0:18:08research facility in Silicon Valley, I met Aubrey De Gray, who is
0:18:08 > 0:18:12treating a project that treats ageing itself as a disease which can
0:18:12 > 0:18:16be cured. And he's made some seemingly quite outlandish claims in
0:18:16 > 0:18:22the past. Am I right you are the guy that said the world's verse 1000
0:18:22 > 0:18:29-year-old has already been born?I always make clear that I think it's
0:18:29 > 0:18:36credible. I do think it is credible. If we look at the care, it is very
0:18:36 > 0:18:40straightforward, the risk of dying in your 20s is low. If you get to
0:18:40 > 0:18:45your 26th birthday your chance of reaching your 27th birthday is very
0:18:45 > 0:18:52high. The only reason that people don't live to 1000 already is
0:18:52 > 0:18:56because of ageing, because their probability of death in the coming
0:18:56 > 0:19:05year goes up. It happens to go up by 10% each year.10% each year?10%
0:19:05 > 0:19:10more likely to die at the age of 63 than you are at the age of 62 and so
0:19:10 > 0:19:14on.That's quite high.But if we can fix this damage that doesn't happen
0:19:14 > 0:19:18any more, the probability of dying stays only being limited by the
0:19:18 > 0:19:21probability of things that don't have to do with how long ago you
0:19:21 > 0:19:26were born.What you're saying is within the lifetime of someone who
0:19:26 > 0:19:30has just been born you will learn how to effectively cancel out
0:19:30 > 0:19:34ageing?We've developed ways at the molecular and cellular level to
0:19:34 > 0:19:40repair the damage the body does to itself throughout life. This is
0:19:40 > 0:19:44called the longevity escape velocity. We're not talking about
0:19:44 > 0:19:47massively lengthening human life, we're talking about massively
0:19:47 > 0:19:54lengthening people's healthy lives. If people can stay healthy for
0:19:54 > 0:19:59longer then there would generally be improvements in society.What do you
0:19:59 > 0:20:06see society being like if everyone had massively extended lifespan is?
0:20:06 > 0:20:11That's not what I focus on, what I get out of bed for is I don't like
0:20:11 > 0:20:16people getting sick. I don't like the fact 100,000 people a day die of
0:20:16 > 0:20:21ageing. I would like to hasten the defeat of that problem. Also you got
0:20:21 > 0:20:25to take into account people are only going to get older one year per
0:20:25 > 0:20:29year. We're not going to have any 1000 -year-old people or at least
0:20:29 > 0:20:33900 years whatever happens, and that's quite a long time to figure
0:20:33 > 0:20:38out what to do about it.The enigmatic Aubrey De Grey. Can you
0:20:38 > 0:20:42imagine living in a world where we all might live to be more than 1000?
0:20:42 > 0:20:46That would be strange. Mind you, first we all have to get past the
0:20:46 > 0:20:50year 2049, which according to the recent Blade Runner movie, is a
0:20:50 > 0:20:54pretty bleak time. That film won the Oscar for Best visual effects last
0:20:54 > 0:20:59weekend and to celebrate we thought we would bring you a bit of extra
0:20:59 > 0:21:02behind-the-scenes science that went into making that world.I think you
0:21:02 > 0:21:09found him.That's not possible. If this gets out... We've bought
0:21:09 > 0:21:14ourselves a war. There's obviously a huge
0:21:14 > 0:21:18responsibility to deliver something for the audience of Blade Runner for
0:21:18 > 0:21:21the first one. The expectation visually making everything look cool
0:21:21 > 0:21:26is on our mind every day.The demands of Vegas and the expectation
0:21:26 > 0:21:30of making something that was based on what we know Vegas now but what
0:21:30 > 0:21:36it would be in the future, so we started with the US Geo data, the
0:21:36 > 0:21:42Vegas Valley and the city itself.So a simple model in the computer.
0:21:42 > 0:21:46David Gassner, the art director of the film, add a simple model of
0:21:46 > 0:21:51Vegas with buildings placed around and so forth, we took those two and
0:21:51 > 0:21:55smashed them together initially. We look for ways very subtly of how to
0:21:55 > 0:22:02bring in the human element into the shots, how to sell that scale,
0:22:02 > 0:22:06analysing the work and how to use graphics on the face of the
0:22:06 > 0:22:10buildings, how here in a lot of his paintings used human scale
0:22:10 > 0:22:14futuristic items. We build all that stuff and placed it around the city
0:22:14 > 0:22:18in an organised way to make it look like people were there at one time,
0:22:18 > 0:22:21even though we see no one, and that's what made it look real or
0:22:21 > 0:22:25looked like a place people could have been in. To build trash may
0:22:25 > 0:22:30soak was based on the idea that everyone had moved to the city and
0:22:30 > 0:22:35all the structures are outside the city had been pretty much abandoned.
0:22:35 > 0:22:39No power, no water outside to the trash is generated for the city was
0:22:39 > 0:22:44dumped on the buildings outside the city. Again, we're trying to based
0:22:44 > 0:22:48things, as much reality as we could so we started with the landscape of
0:22:48 > 0:22:54current day California from Los Angeles versus San Diego and we
0:22:54 > 0:22:58determined Icelander was the place to photograph the ground skate and
0:22:58 > 0:23:02the beach. So through aerial photography of that we placed in the
0:23:02 > 0:23:06two on top of each other and then the sequence of the ships was based
0:23:06 > 0:23:10on the Bangladesh ship harvesting yard where they recapture all the
0:23:10 > 0:23:15metal and so forth that happens now. A lot of the ships and the pieces of
0:23:15 > 0:23:19the ships and the idea of these little tiny human beings working on
0:23:19 > 0:23:22these massive structures sort of growth that look through the middle
0:23:22 > 0:23:28of that sequence. So it's a matter of grabbing all these components
0:23:28 > 0:23:32that were based on today's reality, scaling them so did have this sort
0:23:32 > 0:23:38of massive relationship between Kay and his little spinner in this
0:23:38 > 0:23:42enormous landscape and these huge amounts of trash. It was a matter of
0:23:42 > 0:23:48pulling off that scale and distance, which was just a massive
0:23:48 > 0:23:48pulling off that scale and distance, which was just a massive, the
0:23:48 > 0:23:52undertaking in terms of the amount of data and assets we had to build
0:23:52 > 0:23:57and things we had to manage in itself to pull that off.The future
0:23:57 > 0:24:03of the species is finally unearthed. It is a brilliant film, absolutely
0:24:03 > 0:24:09superb. Blade Runner 2049, a well-deserved Oscar winner there.
0:24:09 > 0:24:13That's it from us for this week. Don't forget we live on Twitter and
0:24:13 > 0:24:18Facebook. Thank you very much for watching and we will see you soon.