I won't be fiddling with my phone as I speak, it's control in my lap. Just in the case of being not speaking and texting. It's a great pleasure to be here today and I've been really looking forward to this and I look forward to chatting with you afterwards. I think I'll purposefully leave open some big questions at the end but then I'm sure you'll want to ask. I've been around big data and privacy and ethics and all of that. At the moment I head up a centre called Insight which is a large research centre in the area of data analytics. It's a very young centre, we're just about a year old at this stage. It's funded by Sirens Foundation Ireland and it brings together data analytics expertise in UCD, Dublin City University, NUI Galway and UCC and we also have some smaller interactions with a number of other institutions as well including the Royal Irish Academy. The significance of it is that there's about 250 data scientists working in Insight today which is a really significant critical mass for this type of expertise and I'd say that outside some of the largest organisations, Google and Facebook, you won't find that critical mass of data science available so it's to the credit of Ireland and the government and Sirens Foundation Ireland that they've recognised the potential of this area and invested so wisely in it but then I wouldn't say that. So let me start by talking a little bit about data. You know almost everything we do causes data to be recorded and stored somewhere. We might be listening to music or watching a movie, we might be exercising, we might be shopping, we might be sleeping or even taking a shower and probably somewhere a data record has been created and we might think about what could be possible from all of that data. What can we do? What should we do? What are we doing with all of that data? And people talk about big data and you wonder well how much data is there out there anyway and to really understand this you need to think in things called exabytes and exabytes are very large amounts of data. 10 to the 18 bytes, what does that mean in real terms? Well if you took the US Library of Congress it's about 20,000 times all of the printed material in the US Library of Congress that's an exabyte or all of the words spoken by humans, ever, ever, that's about an exabyte. Well we're creating that amount of information about every six hours. So it's a stunning amount of information that we've created. And one of the things that has happened over the last few very short years in fact is there's been a paradigm shift that used to always be about the algorithms. So I'm a computer scientist when I went through my training it was all about building smarter, faster, more efficient, optimized algorithms. And feeding those algorithms with data, the data was kind of secondary. Now we're beginning to realize that actually the data is the really important piece here and sometimes even some simpler algorithms that we might have looked at twice in the past begin to work extremely well with large amounts of data and the right type of data. So there's a shift and data is becoming really, really important. The algorithms are still obviously critical. So how did we get here? I'd like to talk, to go back a little bit. I suppose this is a bit farther back in your story anyway, but you know when we think about the first large supercomputing, the very first order was the CDC 6600. It weighed over 5,000 kilos. It came with about 400K, 480K of RAM. It cost in today's money about 60 million dollars. And it was able to do 3 million flops. What's a flop? It's a floating point operation. Think of it as a basic mathematical operation. So you've got about 3 million of those a second for your 60 million dollars. That was the start of really the computing revolution. And Gordon Moore, who was one of the founders of Intel, he noticed early on that there was something strange happening in the computer revolution because about every 18 months we were doubling the power, essentially, that we were getting from these devices for the same price point. And that became known as Moore's law. And Moore predicted that this might last for about 10 years. Well, it's lasted for nearly 50 years on this stage. So we're seeing a doubling of computational performance every 18 months or so over the last number of decades. So much so that if we go from the 1960s, we were getting about 0.05 of these basic computations per dollar. Today in my phone, I'm getting about 8 million of these computations per dollar. My phone is thousands upon thousands of times more powerful than that supercomputer, which weighs thousands and thousands of times more than my phone. If the automotive industry had moved at the same speed, in the same way, we'd be driving around in cars that would cruise comfortably at a million miles an hour, and we'd get about a million miles per gallon of diesel. And it'd be cheaper just to chuck our car away at the end of the day rather than park it overnight in the city garage. So clearly the motor industry didn't develop at the same pace. But that's why we've gotten to where we are, that these computational devices that we're so used to are now so incredibly powerful and so cheap for that power that a whole new type of world is possible when we start to knit these together and connect these together. And often people talk about the sensor web because what we're finding is that things that were kept inside of these machines, inside the virtual world of the internet, it's now leaking out into the physical world because our physical world is being equipped with sensors. So we're now able to read a lot of what is going on in the world around us and influence what is going on in the world around us. And I'd like to take you on a bit of a whistle-stop tour of some of the things that I think are really interesting about what's happening in the sensor web, particularly in the area of healthcare and how that will be disrupted over the next number of years. And we look at this from the perspective of the mobile phone, which we think of, well, most people still think of it as a phone. It's very far from being a phone. It's not even a very good phone anymore in my opinion. It's a great internet device, the great data device, but it's an even better sensing platform. And when you think about all the different sensors that exist on these devices, which we carry around with us every day, light sensors, microphones, GPS location, digital compasses, and so on and so forth. And then we realize that more or less they're always in power. So power in sensors used to be a big challenge if you're deploying water quality sensors in a river system. How do you keep those sensors powered all of the time? Well, we keep these sensors powered all of the time. And they're always connected to high-speed data pretty much, and they're mobile, and they know where they are. So that's a very powerful idea. And it promises to completely disrupt many different aspects of the world in which we live. And I think healthcare is a good case study. This is Eric Topol. He's a cardiologist in the US. And a couple of years ago, he was on a plane travelling across the country, and another passenger was taken ill. And Eric had a small ultrasound device connected to his iPhone, who was able to diagnose the patient was having a particular type of heart attack, was able to do the right thing there and then on the plane, and the patient recovered when they landed subsequently. But that just points to the disruption that's happening. An ultrasound scanner connected to an iPhone. Who would have thought that would be possible only a few years ago? But let's have a look at some of the things that are possible today and that we probably are using in apps that we have. For any of you who are into exercise, fitness, running, swimming, walking, cycling, many of us who are doing these activities are tracking our activity on an app. I use an app called RunKeeper. Every time I go out, I wear one of these jaw bone devices, which is tracking my activity. It knows not just how much I exercise, when I exercise. When I'm wearing a heart monitor, it knows my cardiac rhythms during my exercise. Where I go, the altitude, I go up or down, who I'm with. Times of day, it knows my gender, my weight, my age. Imagine that information going back to my GP. Not just a periodic once a year check-up, but a long-term track of my activity information going back to my carers. I think that's a very interesting idea. Imagine how valuable this is to the likes of Nike and Adidas in terms of developing next-generation health equipment. People are using apps to track your sleep. You can get a free app for your phone. You put the phone under your pillow, and it tracks your sleep based on movement during the night. Devices like this also track my sleep. I thought I was a poor sleeper. I'm sorry, I was kind of a bit obsessed about my sleep pattern. So I started tracking my sleep. I'm not really that poor a sleeper at all, which made me feel a lot better about my sleep patterns, which got me to sleep a lot faster. So now I'm a really good sleeper also. But we're tracking this over long periods of time for free using our phones. Who would have thought that a phone was tracking our sleep? You've got some companies now that are even able to track our mood and our focus, unfortunately, to wear a headband, that will change in time as well. People are tracking their food and their nutrition. How is that going to change health care when doctors understand on a meal-by-meal basis what you're eating? I have a heart rate sensor on my phone. I put my finger over the camera. It tracks my heart rate in real time by looking for tiny color changes in my skin as it shines to flash on my finger. As my heart beat beats the color of my skin as blood flow changes and it tracks that. I can point the camera at my face. It'll measure my heart rate based on tiny color changes in my face. Again, there's no extra sensor on the phone. It's just the camera, but we're able to track people's heart rate and where people are able to do that not just once or twice a year when they go for a check-up, but maybe before exercise, during exercise, after exercise. Here's an interesting one. It's not a demarcage yet, but it is an experiment to see what you could do with the speaker on the phone. This is a mobile spirometry. It's a lung function test. The patient here is just blowing into the speaker on the phone and it's able to do a standard clinical lung function test within about 5% of clinical accuracy. That's good enough for home usage for people who are suffering from asthma, for example, or other lung issues, just by blowing into the speaker on your phone. All for free, all as part of the device that you carry with you everywhere. One of the things I'd like you to think about is how might this change healthcare? I think healthcare will be slow to change, but I think it'll be us, the patients and the consumers that drag it with us. So might we be going into a doctor with our apps, with our data, loading it up to the doctor's system? There was a BBC did a horizon documentary on this recently where they talked about, instead of going away with the prescription, maybe you'll go away with a new app on your phone because your GP wants to look at some particular aspect of your activity or measure some particular constraint and there's an app available to do that. So go away, let this app monitor you for a couple of weeks, come back and we'll take a look at where we are. I think that's a very real possibility. So we have access to this data now, it's valuable data. We'll come back to that point in a while, but it's data that could fundamentally change the healthcare system and the quality of healthcare that we get, so that instead of periodic once or twice a year check-ups, we're bringing long-term, longitudinal physiological data with us. One of the really interesting things though is that it's not just about individuals carrying phones and sensing their individual activities. We can scale this up across entire populations. These phones are going to be equipped with more and more sensors, so we scale it vertically, we're measuring more and more about individuals and of course then they will scale horizontally. We can start to connect up these sensors into large networks that would be far too expensive to build by traditional needs. This has led to this idea called participatory sensing where individuals form a sensor network which can start to read interesting things about the world that we're in. I'll give you my favorite example of this. It's a U.S. company called Propowder Health and they produce a sensor that goes into a standard rescue inhaler, it's about a dollar sensor and all it does is it knows when the inhaler has been used, but it's connected to the patient's phone. So it knows when the inhaler has been used, it knows where the user was when they used that inhaler because the phone knows where it is. So why is that useful? Well, imagine connecting that up so now you're the city with thousands of people using these inhalers and the interesting thing about inhaler use it tends to be heavily correlated with air quality for example. So now you have an air quality sensor network by accident almost that would cost millions to build by traditional means where it means putting physical sensors on land posts for example all because of a dollar sensor that was designed originally to tell you when you were running out of medication on your inhaler and when you needed to restock. There are all sorts of examples of how ideas like this connecting sensors together are transforming many traditional industries and one of them is the mapping industry. It used to be that Google bought satellite companies so they would be able to build accurate maps of the world but now we have companies like Waze which not surprisingly were subsequently bought by Google but Waze built their maps by giving everyone a free smartphone map that just tracked where you went and as you went about your business went about your commute essentially an empty map started to be filled in by the trails that people would take through the world and those trails were reinforced so that you could start to confidently assert that they were roads or pathways and then you would invite people and everyone doesn't have to do this but enough people were willing to mark down the names of the roads and express points of interest for example and all of a sudden you have real time maps of the world developing out of the activities of many millions of individual users without expensive mapping software meaning to be developed and not only that because the phones are being carried with you it doesn't just give you a static map of the world it actually gives you information about traffic congestion so Waze knows that there's a lot of traffic in this part of Manhattan at the moment for example because the phones are going slower that they usually are at this time of the day so there's a lot of benefits coming from this sort of sensor webpinking and it's all about turning people into sensors essentially and inviting people to participate in these sensor networks and it starts with lots of messy data but we now have the algorithms to clean that data up and to discover real genuine insights such as poor air quality in this part of the city don't travel that way to work this morning take this route or traffic congestion is particularly bad at the moment down there go this way it's all based on the smartphone as a sensor platform and the willingness of people to contribute their data it's not just what we're doing in the physical world we're also used to data being generated in the online world and this rather unfortunate phrase minding the data exhaust as we pass through the world we leave an exhaust trail behind us which can be mined and there's very valuable information in that it's the pages that we look at the time we spend reading those pages even the mouse movements that we make as we use the browser for example our search queries and companies like Google of course have been particularly successful at minding page relevance and user reputation by the links that people follow and they have used that to build better search engines and to deliver better advertising but what you might be less familiar with is the importance of search logs for other types of applications so a group of Microsoft researchers recently speculated that by looking at the queries people submit to search engines we may be able to discover unknown interactions between drugs I think how is that possible well they looked at queries going through the Bing search engine and they were looking in particular for people who queried for peroxateen and then there was other people who searches were for pravastatin and then they were also looking for people who were tending to query for both peroxateen and pravastatin now the hypothesis here was that the combination of these drugs may result in hyperglycemia so they looked to see whether there was a higher prevalence of hyperglycemia symptoms being searched for by the people who were taking only pravastatin or only peroxateen versus the group who seemed to be taking both pravastatin and peroxateen and to go long story short they found a significantly higher hit rate of hyperglycemia terms from these searches which confirmed or at least pointed to the possibility of an interaction between both drugs leading to hyperglycemia and as I understand it this has been clinically proven so there's a sense that mining search log information can actually now start to help public health officials get a much better handle on previously unknown drug interactions which is a very expensive thing to try and do normally during normal drug trials similarly you have seen over the last few years that Google queries have been used to track the outbreak of flu now recently this has been brought into question because they didn't get it quite right over the last year or two but there's a strong correlation between people searching for cold remedies and flu remedies and the outbreak of flu location by location and Google flu trends is an app that will actually predict flu epidemics breaking out in different parts of the country based on people's search queries we're also now starting to dig into the reviews that people leave online so you'll be familiar that Amazon kind of tracks what we like and dislike and what we buy and makes recommendations to us but we can now start to actually read our, systems can read our reviews and identify our opinions from the natural language text that we're providing and recognise that we like a MacBook Air because it's an intuitive device and it's got a great display and image quality is really excellent but it's a bit pricey and actually extract that really high quality information we did an analysis recently mining hotel reviews across a number of US cities and we found very different opinions being expressed in very different cities in Chicago the things that people were most happy about were location, staff, the quality of the bed and the service and the breakfast versus the things they were least happy about the noise, the carpets and the elevators so this is providing hotels with real information about areas that they can improve on and it's picking up things that matter to travellers that are rarely expressed in the description of the hotel who to think that people are interested in the quality of the carpets but certainly hotels probably aren't paying as much attention at least in Chicago as they should the carpet quality here's one that Ayman might be a little bit familiar with we mined sentiment for during the last election from what people were saying about politicians on Twitter so we're able to say who's been talked about the most that's the size of the head here what are people saying about them is it positive or is it negative and this is changing in real time you can see switch, shifts and sentiment in real time and shifts and volume in real time, thank you so yeah, go on to the next one, thank you so this is really about data driven everything that I'm starting to talk about here we've seen some healthcare we've seen mapping we've seen online sentiment and opinion mind so much further than that and entire disciplines are being transformed by big data thinking everything from social sciences and humanities to political science and journalism this is Google's engram viewer it allows you to look at the relative popularity of different pairs of words in books dating back to the 1900s so Google has basically scanned most of the books that are available in print you can actually look for shifts in word usage over long periods of time this was a particular paper on the expression of emotions in 20th century literature and you can see shifts in the ratio of joy versus sadness words over particular periods that correlate with major events at those times instead of joy, sadness, fear and disgust the rise of terrorism and the increased usage of fear words, for example in modern literature who would have thought that this type of research would be drawing on Google logs for example in Google data and I just took a sample of some recent papers that have been published to highlight quite how many disciplines are being transformed by data analytical thinking we have the evolutionary dynamics of language and environmental issues and ethics cultural studies so on and so forth so I think what I'd like to finish on and sort of lead into discussion on is that I think for sure the big data revolution is here to stay and it's here today so the genie is out of the box data is now being generated on almost everything that we're doing and companies and organizations are starting to wake up to the power of that data it's very transformative it's very disruptive and people recognize that there are huge opportunities to win from that data not just in business but for societies it's all about helping people to make better decisions helping individuals and families and communities to make better decisions about their healthcare where to send their kids for school help governments to make better decisions about investment for example it's not just about helping large corporates make better decisions about who to target and how to extract the most value from their customers and that being said I think there are a number of big issues that we still need to resolve as a society and what I haven't spoken about is the privacy implications of big data data is being collected on all of us all of the time and the one thing is certain is that we know very little about what is being collected and we certainly have very little control over what is being collected even over every week there's another story on the dangers of misuse of personal data in particular last weekend it was Facebook with their emotion study and the ethics of what they did there so I don't know if people have seen that but it's pretty clear that we need as a society to figure out some of these things and personally I think that part of the solution is going to be giving individuals ownership of their data so that we can control how our personal data is used there's a phrase that's often used when you talk about companies like Google and Facebook where you're not paying for their services well if you're not paying for their services you're not the customer you're the product and that's a very accurate description of what's happening we're selling us to advertisers we're not Google's customers we're Google's products and we need to understand whether we're satisfied with that and there may be because we may decide that the quality of service I get from Google is good enough and I'm happy with what they're doing with my data but equally I might decide I'd rather pay Facebook 20 or 30 dollars a year and keep my data in my control and give everything to Facebook these are the sort of questions that individuals need to start asking that different people will land on those answers in different ways but ultimately I think a big part of this is giving individuals control of their personal data and developing the privacy and ethics framework around all of this that will allow us to live in a big data world more responsibly that we're benefiting from a healthier, safer and fairer world as a result of this technology so I'll pause there and I'm happy to answer any questions you might have


With his faithful Indian companion Tando, the masked writer of the planes led the fight for law and order in the early western United States. With his faithful Indian companion Tando, the masked writer of the planes led the fight for law and order in the early western United States. His strength and courage, his daring and resourcefulness were always on the side of right against might. And it was his vision of the future that finally brought peace and security to the frontier. Nowhere in the pages of history can one find a greater champion of justice. Return with us now to those thrilling days of yesteryear. From out of the past come the thundering hoof-pits of the great horse Silver. The lone ranger rides again. Come on, Silver! We're heading for Marchville. There's going to be trouble. Hey, old Silver! Lem Smiley was seated at his desk in the office of the Marchville Bank. He finished counting the money that was piled in front of him and then raised his eyes to Ed Torrance, who had been watching every move he made. 2,500. That's what I figured. I'll deposit 1,000 to your account. What do you mean 1,000? That's your share. Who gets the rest of it? 1,000 goes to me, 500 goes to the boys. You sure don't have to work hard for your share. You need me, Ed. You need me for information and security. And I deliver the goods. Time's going by when I have to go out and buy the goods. I have to go out and buy the goods. You need me, Ed. You need me for information and security. And I deliver the goods. Time's going by when I have to go out and hold up a stage myself. Yeah? Yeah. They put this money in the safe, Blackie. Right. Now, let's see. 2 o'clock. You'd better hightail it. The stage will be due in another hour, and when it don't show up, the agent's going to call out the sheriff. He'll hit the trail and pick up the driver walking in. No, he won't. Why not? We had to shoot him. He's dead? Yeah, he recognized me. I had to tell the boys to let him have it. I gave you strict orders. Sure.  Oh, you're local. The sheriff's been getting awfully nosy lately, and now you're giving him a murder to work on. Why not get rid of the sheriff? It's been done before. Hurry up with that money. Well, I had to get it into the bags. On your way, Ed. What'll I hear from you? Until I'm sure it's safe. Old lips are one thing, murdered another. I got to find somebody to take the blame for this, and it ain't going to be easy. Now, get out of here. What the? That came through the window. See you outside, Blackie. The rock with some paper around it. What was that dropped out? Looks like a bullet. There they go. There's two of them. An engine and a mask man. An engine and a mask man? This bullet's made of silver. Let me see that. And he called his horse silver, Lem. I heard him. That was a lone ranger. Is there any writing on that note? Yeah. Well, what's funny?  Smiley. Yeah, look for yourself. You always play it safe, but not safe enough for him. He'll go to the sheriff. No, no, he won't. He hasn't got any proof he couldn't have. Well, then why should he write this? He picked up your trail somewhere near the stage and followed you here. He used your name, not mine. Sure. He thinks I was there. And that puts me in the clear. Hey, I've got it. I still don't think the mask man will go to the sheriff. But I will. Huh? I saw the holdup. I saw the mask man shoot the driver. Who's going to believe the lone ranger would do that? The sheriff will know it's him. And the mask man means an outlaw. It might work, unless the mask man saw the holdup himself. Yeah, he couldn't have. He'd have done something about it. I'm going to... Hey, where's Blackie? What? I was standing over by the window. He's gone. I don't like that. You don't figure you're trying double crosses.  I'm going after him. Wait here for me, Ed. Right. Now, what's the idea of waking me up this time of night, Blackie? I want you to swear me in as a deputy. What's that? Yeah, right now. You gone? Oh, go. No, sheriff. There's going to be an awful lot of trouble here in Marshfield before long, and I want to be on the right side. You've been working for Smiley. Yeah, is that the wrong side, Blackie? No, I didn't mean that. Exactly. You're the law, though. What are you scared of? I ain't scared. You sure act like it. Well, I tell you, there's going to be trouble. All right. What kind of trouble? Well, I saw a mass man and an engine tonight. They were staying at a mall or company. What's going on here? Hello, sheriff. Smiley. Yeah. What have you got your hand on your gun for? Uh, I'm nervous, yes. See, Blackie got here already. Do you send him? How much you told the sheriff, Blackie? He said there was going to be trouble, and that he'd seen a mass man and an engine. Didn't he say anything about the holdup? What holdup? The stage from Garden City. Sam Wilson's dead. Dead? Yeah, but so it happened. I was riding along the trail, and I heard the shots. When? Where was this? About two hours ago, this side of the pass. I took the cover, but I got close enough to see Wilson slumped on the box and the mass man, the engine, dragging the money chest out of the boot. And I rode back to town as fast as I could. I got as far as the bank when I heard somebody following me. Then I ducked inside. Blackie was there, and we saw both the mass man and the engine. They rode straight through town, heading west. You better get out from sheriff. Blackie, you still want to be my deputy? Huh? Well, uh, sure. Round up some of the boys. We'll send a few of them back to get Sam. Then the rest of us can go after the road agents. You'll never catch him if you wait for a posse. All right, the three of us will go. No, no, no, not me. Catching Crooks is your job. And, uh, Blackies. I'll go back for Sam, but that's all. Are you with me, Blackie? Yeah. Wherever you go, that's where I'm going, too. Then come on. Did you find him? I found him in the yellow sidewinder. He's hired out as the sheriff's deputy. They're coming after us? Well, I got there before he could spill the beans. And while I was telling the sheriff my story... You couldn't blame on the mass man. Yeah, that's it. I was looking at Blackie and my hand was on my gun. He got the idea. He'll die if he talks. Yeah, he's scared now, but we can't take any chances, Ed. There's no telling how long he'll stay scared. Where is he now? With the sheriff. They're trying to pick up the mass man's trail. And look, I want you to go after him. What for? Don't let Blackie come back here. You can catch him, all right. Following a trail, they'll have to take it slow, and there's plenty of cover. You can pick the skunk off and make an easy getaway. Why don't you do it? Because you started the killing. Tonight, you're going to finish it. Besides, I'm going after Sam. I, uh, promise the sheriff. Well, he still won't know if we're safe. Just one word from Blackie before he dies. That's all the sheriff will need. You get Blackie, and I'll take care of the sheriff. How? You'll leave that to me. Shoot straight, and Blackie won't have a chance to talk. It's time to call on the sheriff, Tunnel. Be sure not to lock him. Yes, we have no proof against him, except those tracks are led away from the stage. But at least you can round them up and question them. Other tracks lead to bank. What do you think about that? They were either made by Smiley himself or someone who works for him. That's why I left a warning behind. He may do something to give himself away. Maybe so. Oh. A rifle shot. It comes from around the bend. Come on, Silver. Faster, old boy. Come up to count. This is rough country. Uh, how do you cover for ambush? There, Tuttle. There's a horse without a rider. A man lying on the ground. Another killing. The shot might have come from either side of the trail. You watch out. It'll maybe still near. We've got to do what we can for this man. Oh. It's too late. I'll help him now. Do you know him? Talk to see him in town. Him work at bank. For Smiley? That's right. Him guard. But he's wearing a deputy sheriff's badge. Take a look at the trail. Two horse come this way. You mean someone was riding with him? Oh. Tell a ride with him. Go that way. That must have been where the shot came from. We'll take a look. From there, man, now. Right back. It's the sheriff. Him think we kill man. Yes. We stay here. We'll be arrested.  There's no time to argue. Come on.  The sheriff started after the great white horse in the paint, but they soon left him far behind. He returned from Blackie and rode to town. It was broad daylight by the time he reached town, and the main street was crowded with townspeople, discussing the holdup of the previous night. The sheriff paid no attention to their eager questions. He dismounted in front of his office and carried Blackie inside. It was then that Lem smiley and dead torrents shouldered their way through the crowd. Out of my way. What's here, Lem? Want to go inside? Nope. I just want to climb up here in a step so I can talk to all of you. What's on your mind? I think we got a crook for a sheriff. A crook? That's what I said.  Go ahead. You all know that I saw the masked man in the engine taking the money out of the stage. What you don't know is there was another man with him. Huh? It was hard to see goodness. This hombre had a bandana up around his face. But it looked to me like the sheriff. I didn't say nothing about it last night because I wasn't sure. Tell him what you and Blackie fixed up. I'm coming to that. Blackie volunteered to go out with the sheriff as his deputy to keep an eye on him. You saw how he came back. We don't know what happened on the trail. But I'll bet my bottom dollar that if Blackie could talk now, he'd tell me that I was right. There's been an awful lot of holdups lately. The sheriff ain't made no rest for one of them. Did you ever stop to think of that before? Them's right. It's the second time they got the stage. Of course, there was a gang last time. Oh, I ain't saying the sheriff's the only one the masked man's got working for him. But he sure ain't the man to head our posse when we go after the murdering crooks. There's Ed Torrance here. What about him? Well, Ed's a mite too handy with his gun. You need a man that ain't afraid to use him. This much I'll guarantee you. He'll go after that masked man if he's left depended on him.  I admit that. We'll wait until he comes out and let him have his say. If he can explain how Blackie got shot... He can't. You know he can. Then we string him up before we go after his partners. Did dangerous go closer to Sheriff's office? I'm wearing it this guys. We'll get Silver and Scout and run up to the back door. Oh, that's bad. You heard what Land was saying.  We aren't going to talk to Teddy Silver.  Get him up, Scout. We can keep the trees between us and the street. Hit back when we leave. I get out of town. I know we'll have to show ourselves. The rest is up to Silver and Scout. And then no, Silver. We have to take that chance. The Sheriff's life is in danger. They're back of office. Let's hope the door isn't locked. That's where Sheriff be. Back room. I think you'd better wait outside, Toto. Warn me if anyone starts coming around in the back. No, look, that horse belongs to the Sheriff, doesn't it? Well, I'm inside. Keep your voice down, Sheriff. And your hand away from your gun. You're covered now. I want you to march out that door. Your horse will be ready. You're getting out of town with us as fast as we can make it. What are you talking about? That mob outside for one thing.  What for? There's Toto's danger whistle. Come on. That's right, horse. It's the same one. There's no time for that. Into the saddle. If you didn't have a gun on that... I have, though. Hurry. The curtain falls on the first act of our Lone Ranger story. Before the next exciting scenes, please permit us to pause for just a few moments. The Sheriff escaped from Marchville with the Lone Ranger and Tonto. Just as Lem Smiley had convinced the people of the town that the law man had murdered Blackie. Ed Torrance headed to Posse and started after him. But they were unable to locate the Lone Ranger's camp, and Smiley was convinced that both the Sheriff and the masked man had been driven from the district. It was one night, nearly a week later, that Tonto rode into the circle of light made by their campfire. Did you find out anything?  They hadn't moved? They moved tonight. Torrance come to camp when they get dark. Yes. Tonto get close enough. Hear what him say. Yes. Torrance Sheriff now. That crook has got my job. Go on, Tonto. He make all Outlaw deputies. Take them to town with them. Well, theirs are pretty. How do you do? They brand me a killer and move an Outlaw gang into and force the law. We've got to do something about it, Mask Man. The next move isn't up to us, Sheriff. I know. I sure feel like kicking myself, though. If I hadn't decided you was the one who put the bullet through Blackie and tried to arrest you, we might have found the real murderer that night. There's no way we can get evidence on the stage robbery or Blackie's death. But Smiley won't quit now. The next time we'll catch him red-handed. How? How are we going to find out what he's up to? There isn't one of us there to show his face in town. I can work out a disguise with Tonto. If I leave Silver here, they won't recognize me. You'll be taking your life in your hands. He must have it. I hear it, Tonto. Is that the wind? Sounds like a human voice. Yeah. Somebody's singing. That's right. It seems to me like I heard that before. Somebody in March filled his sings that way. You want Tonto put out fire? I don't think we'll have to. Magdalena. That's who it is. She used to clean up my office. Work for Smiley, too. Could he have sent her? No, she hated him. Then perhaps we've... Marches, Senor. I have come to tell you a fortune. No, Magdalena. How do you find this camp? I have looked for you ever since you ride out of town. Something tell me you did not go far. Why do you want to find me? I have come to tell you a fortune of the mast. No, none of that foolishness. He doesn't believe in your fortune. I might believe in this one, Sheriff. See, Senor, I have much to tell you, but first you must cross my palm with silver. Will this do? A silver bullet? See, the owner of the silver bullet will have his greatest wish come true. But the bullet belongs to you now, not to me. That is the proof. You are the Rhone Ranger. Last year you saved the life of my boy Pedro. It has been my greatest wish to thank you for it. I don't remember any boy named Pedro around here. South of here, Senor, on the Rio Grande. But it is not with words, I will thank you. I know you do not want that. And there's no need for any thanks. It is too bad the Sheriff lose his job. It is too bad the crook run the town. You must forgive Magdalena if these things make her happy. What do you mean they make her happy? Give me a chance to help you. No one notice Magdalena in town. She go here, she go there, she do her work. No one pay attention. It is great many things Magdalena here. The Sheriff says that you work for Smiley. Yes, Senor, and for the new Sheriff too. We were wondering how we'd find out what they were up to, Magdalena. You will not have to wonder anymore. Only listen, Senors. You listen first, then you ride. Tonight, there is much work for you to do. Early midnight, you'll have to hurry to make it. All right, Mason, inside. What the... the best man. I have a note from the Sheriff. It's Taurus? The old Sheriff, John Bailey. Say, if he's still around here, you tell him to make tracks. They'll shoot him on side. That sounds as if you were still his friend. There's plenty of others in town who'd like to see him back. On the other hand, if he's still hanging out with you... Read the note. Yeah. The Lone Ranger, honest. Will you follow my orders? You bet I will. With you to lead us, I can round up every honest man in town. They must have changed since you tried to lynch Bailey. Well, they have. We'll clean out that gang of crooks in no time at all. Not one of them can be arrested, Mason. There's no evidence against them. Well, we can run them out of town. We can do better. You're the express agent, aren't you? Yeah. Well, Smiley and Taurus are planning to hold up the morning stage from Winston. What good will that do? There'll be no gold on it. You're wrong. I've given orders that no more gold is to be shipped from the west until further notice. And there won't be any further notice until there's some law and order in this county. If one of your passengers was to bring some gold from Winston himself, you'd have to carry it, wouldn't you? Well, yeah. But nobody's going to be fooling us. The line would be responsible for it if it was stolen, wouldn't they? Yeah. Then you might be interested in knowing that Lem's Smiley is taking the midnight stage for Winston. Huh? He plans to borrow $5,000 from the Winston Bank and then return by the morning stage. How did you get information like that? I paid for it with a silver bullet. I don't serve you.  You'll find Smiley there. But the rest of it. And there are certain things you must tell the driver before he leaves. What things? He's to accept the gold tomorrow morning without making any trouble about it. When you know there's going to be a hold up. You promise to follow orders. All right, go on. He's to stop just outside of Winston and pick up two passengers. Who? John Bailey and Tato. That's the engine who rides with you. Yes. Now hurry up. Get down to the station. You aren't supposed to stop on the trail. Hey, Gartmore. You're coming. There's a rope waiting for you in Marshfield. Oh, this stage don't go that far. I hear it stops at Pine Bluff today. Why, you? What's the matter, Lem? Thinking you were going to have a longer trip? Driver, stop the stage. I'm getting out. Cancel that, order driver. You're covered, Lem. Just set back and take it easy. Enjoy the ride as long as you can.  But don't start looking for our new sheriff. He ain't anywhere around. He and his hired gunman are heading for Pine Bluff to hold up the Winston stage. And you'll find out soon enough if there's any gumption in the lot of you. It was Torrance and Lem's smiley that planned every stage robbery we had in the last six months. It was them that killed Sam Wilson and Blackie. And here's our chance to catch him red-handed. How about it? Are you ready to go after him? I say, yeah. This man's the lone ranger. I thought that would change your tune when you follow him. Come on, Silver. To me, Pine Bluff ought to be just around the next bend. That's right. What are you training your neck for, Lem? You can't see it yet. Where's the mask, man? You think you'll see him? There, Bluff, now. Sure enough. I've often thought that far side would make a swell place to ambush somebody coming from this direction. Nobody can see you... Hang right out. Put down that gun, Lem. Under that other guy. Right up, driver. You should have known better, Lem. You can't scare off outlaws by firing in the air. Just watch closely and you'll see a better way. They're a mask friend now. Him right down the slope. There he is. And there's some more of the boys heading in from the other side of the trail. Well, what do you know about that, Lem? They got those poor old outlaws slapped dab in the middle. Just like rocks in a trap. They're taking off the hour. Who they to be? Tonto, go get Scout now. Wait, Tonto. It's the new sheriff and all these deputies. Don't that surprise ya? Don't it surprise you, Lem? After putting your trust in them the way you did, you must feel mighty sorrowful.  Here now. Don't take it out on me. The masked man and Mason are heading this way with Torrance. You can tell him what you think of him. There's no evidence against me. Against you, Lem? How could there be? Well, Bailey, you're the sheriff of Marshfield once more. Is that so, ma'am? If you take the job... I'm right proud of you. Then here's one of your prisoners.  What's that? You'll testify against him, won't you, Lem? Of course he will. He saw every minute of the hold-up. And if you don't take this stand, the people around here might think you had something to do with it. How about it, Lem? I... I'll testify. You send me to jail and I'll tell everything I know about you. You fool, what else can I do? Just try and double-cross me.  I'll tell them about the orders you came here...  Not without you, mister.  Yippee! Before witnesses! Just let me at it! No, you don't.   You have one more prisoner now, Sheriff. Much obliged. I like to be kept busy. And the charge against him is murder instead of robbery. Your only problem will be keeping them apart until the trial. We'll put them in cells with double bars. Adios! Adios! How long, Mass Man? I guess you'd better take charge of Torrance until we get back to town, Mason. It wouldn't be safe to have him ride with me and Liam. You're right. I'll lead your coyose, Torrance. Get up there. The driver! Say no! Maddalena! I walk all the way out here. See what happened. It's the long way. Sure thing, Maddalena. Climb aboard. Gracias. Let's go, driver! Get going! Get going! You deserve to ride home in style, Maddalena. Was she the one who put your wife's? You guessed it, Lamb. Why, you...  Senor, you do not think much of me because I am poor. You have much gold. You'll have plenty when you start collecting the rewards for these hombres. But I do not want gold. I have something worth far more. This... this silver bullet. It means I am the friend of the Lorne Ranger. And that makes me very rich indeed. Where does the copyrighted feature of the Lorne Ranger incorporate it?


Hey guys, EHP Labs athlete Zach Perner here. Now I've been training for eight years in the gym, giving it my best, and today we're doing yoga. So my normal routine is predominantly weights. I don't do any kind of stretching, flexibility work, a little bit of cardio, but it's mainly weights. I've done yoga one time, and it was probably the single most uncomfortable experience of my life. I'm EHP Labs athlete Michael, aka Merkel. I'm a little bit excited, definitely apprehensive. It's been like a year since I've done yoga, so we're just gonna see how it goes. I actually took a class, but I think I forgot everything from it. Hi guys, I'm Yaku De Brain. I'm an athlete for EHP Labs, and this is my first time that I'm doing yoga, literally being here for five minutes. I work out seven days a week. I try to have one rest day, but I always end up in the gym. On a scale of one to 10, 10 being very flexible, I'm probably there at 1.5. My flexibility is probably one. I would say about a nine, 10 being the lowest. So my favorite yoga pose is the upward dog, I believe. I'd like to demonstrate if I can. So what do you want to do? Not taking my advice here, but, Keith, am I doing this right? Is this your upward dog, guys? I saw this on TV once, so it probably goes like this. Not bad, eh? Good. What you want to do is make sure the dog is nice and upward. If you nail that, you're basically nail yoga, so. That's mine. But let's see how we go. It was easier than I thought, because I thought it was gonna be hot. In some ways, I thought it was gonna be like all sweaty and hot, so I'm glad I didn't really sweat, but I had a pretty low expectation of my abilities. I think it was through relaxing, actually. There was a few, there was a few positions that I thought, oh my God, I gotta do this. I think I might take off the off.  But yeah, so holding was the hardest part, but it was good, it was refreshing. I'm gonna say Merc. I think, did I hear that? Yeah, well, you had the least amount of corrections. Yaakov sounded like he was in the most pain. I don't back myself in as much. And he looked like he was gonna snap at one point as well, like Yaakov, it was like that was body was not moving, that direction, but I think Merc's got it. I always thought they were, though. Yes, yes. Yeah, definitely the happy baby, that was it. That was a favorite. As long as it's all turns, you know, we all do it, yeah. It starts with this, and it actually does end in something crying. This is the happiest three babies you'll ever see.   You're up, guys. Thank you for having us, guys.


What you don't see or maybe what you do see just what you don't hear right now is a wind noise.  We're gonna take a little walk in a second probably not gonna talk about it too much because I know some people are adverse to wind noise Also, just want to thank more people joining on Patreon. This is absolutely crazy blowing my mind beyond my wild Wildest expectations. Thank you last Schmidt. I think that was pronounced correctly or last say Thank You Andy Mazzie and Thank You Chris Lima for you know joining the family. So let's go take a peek at the Golf of Mexico for my very first time. This is where I parked is at the end of the road in Mata Gorda They allow free parking for up to 24 hours well, I should say free camping although You know the meter only starts when the meter maid comes by so there's a good chance that nobody's even noticed me yet So I might make it two nights. I'm not really sure yet and Sorry, sorry Also at the end of the parking lot here, there's a restroom and all these picnics picnic tables everywhere and Some nice cool tables over here Hey, and also a mule prep day. So these are the white sweet potatoes. I think they're called considered firm Over here. We got this 99% Whoa, so fogging up a little bit 99% fat-free turkey. Here's what the Container looks like they sell this at HUB and Walmart and Nobody be mixed and that with some vegetables put it in some bags, and I'll show you what it looks like All right, so well editing videos. I made myself a bunch of meals in advance sweet potato turkey and Vegetables frozen vegetables, and I think I made about 12 and it cost me about 40 bucks for all this stuff so 40 bucks 12 meals. I'll eat three or four a day So that means I'll have three or four days of meals. All right It is time to hit the road a couple things of note One I don't know if this is everywhere along the Gulf, but there's a lot of trash down here down by the beach It's not really all that hard to pick up your trash as you guys know so Maybe they're just in need of beach cleanup or something. I have no idea But there is instead of like a high tide line there was almost like a high trash line and also It is a muggy moist 74% humidity and it's about the same temperature. So for me personally that's like sweat weather, so I am very very thankful that my air conditioning works Badge, thank you again That was very very kind of you to do all the work for me and also teach me a few things An interesting roadside attraction This is some people say it was made out of a water is some kind of tank Just called the tank house make everybody happy so This is clearly boarded up Definitely no longer in use but Was that a beer can in the window? But a really cool spot and it is right on the main drag here. It's a right on this main Stretcher road here that goes parallel with the coast. I was gonna say north-south east-west, but I think we're at it kind of tilt Northwest Southeast Southwest North anyways, you know what I'm saying, but You know if you're into oddities on roadside attractions, definitely worth a stop. I Don't really know much about alligators, and I don't know if this is alligator Country, but I saw something large jump into the drain over here and Yeah, I don't know But could be I Hope to see some alligators further along in the trip and a week or so when I get it over to Florida Mactic to me that's because I'm from Southern, California Does not look enticing to go for a surf. I do have my surfboard in the back, but Yeah, I'm gonna Skip out on that one Would be a good day for some Was it called kite boarding? Or windsurfing or something like that something with the wind Towards Louisiana and possibly cross into Louisiana By tonight if not, I'll be on the Texas side and then cross in tomorrow And then of course I'll try and catch up on some edits and things tonight and also do a little bit of homework as to where it should be going on my way east over there