1 00:00:00,520 --> 00:00:03,600 Speaker 1: Welcome to brain Stuff from how stuff Works dot com 2 00:00:03,600 --> 00:00:14,640 Speaker 1: where smart Happens. Hi, I'm Marshall Brain and this is 3 00:00:14,760 --> 00:00:19,120 Speaker 1: episode two of Friday's science and tech news round up. 4 00:00:19,680 --> 00:00:22,520 Speaker 1: As you may recall, last Friday was the first time 5 00:00:22,560 --> 00:00:25,040 Speaker 1: I did this, and I asked you for your comments, 6 00:00:25,640 --> 00:00:27,880 Speaker 1: and wow, did I get a lot of comments. There were. 7 00:00:28,560 --> 00:00:30,680 Speaker 1: There were hundreds of them. It was. It was really 8 00:00:30,680 --> 00:00:34,279 Speaker 1: pretty amazing and I did try to respond to as 9 00:00:34,320 --> 00:00:36,280 Speaker 1: many of them as I could, but after the first 10 00:00:36,360 --> 00:00:38,320 Speaker 1: hundred or so, I just ran out of time. And 11 00:00:38,360 --> 00:00:41,400 Speaker 1: I apologize if I wasn't able to personally respond to you, 12 00:00:41,840 --> 00:00:45,519 Speaker 1: but thanks so much for sending them in, and I 13 00:00:45,560 --> 00:00:47,960 Speaker 1: will try to use several of the suggestions I got 14 00:00:48,000 --> 00:00:51,560 Speaker 1: today in doing this. If you'd like to comment more, 15 00:00:52,000 --> 00:00:55,240 Speaker 1: i'd welcome that, And you can go to how stuff 16 00:00:55,240 --> 00:00:59,720 Speaker 1: works dot com using the using my email address m 17 00:00:59,760 --> 00:01:02,280 Speaker 1: bur Ane at how stuff works dot com and send 18 00:01:02,320 --> 00:01:06,400 Speaker 1: me comments, or the Facebook page is uh facebook dot 19 00:01:06,440 --> 00:01:11,319 Speaker 1: com slash brain stuff. Feel free um, and I will 20 00:01:11,360 --> 00:01:14,720 Speaker 1: try to respond and and thank you again. I really 21 00:01:14,760 --> 00:01:18,200 Speaker 1: appreciate it. So let's look at the news what happened 22 00:01:18,200 --> 00:01:21,119 Speaker 1: this week. If I had to pick the most interesting thing, 23 00:01:21,319 --> 00:01:24,560 Speaker 1: I saw on the web this week. Keeping in mind 24 00:01:24,600 --> 00:01:28,039 Speaker 1: that I'm a robotics kind of guy, it's the fact 25 00:01:28,080 --> 00:01:32,240 Speaker 1: that the I Tripoli Magazines I Tripoli Spectrum did an 26 00:01:32,319 --> 00:01:36,800 Speaker 1: article on David Hansen's robot heads. Now, Hanson has been 27 00:01:36,800 --> 00:01:40,160 Speaker 1: working on these things for for maybe as much as 28 00:01:40,160 --> 00:01:43,759 Speaker 1: a decade. I know, back in like two thousand three 29 00:01:43,840 --> 00:01:46,360 Speaker 1: or something, Popular Science did a big article on it. 30 00:01:46,440 --> 00:01:48,600 Speaker 1: So he's been working at this for a long time, 31 00:01:49,320 --> 00:01:54,840 Speaker 1: and they are getting so realistic. It really is amazing. Um. 32 00:01:54,880 --> 00:01:56,200 Speaker 1: You know, if you want to look at one of 33 00:01:56,200 --> 00:01:58,440 Speaker 1: these heads, you can go to Google right now and 34 00:01:58,520 --> 00:02:02,840 Speaker 1: you can type in interest reading number six eight four 35 00:02:03,400 --> 00:02:06,960 Speaker 1: and the top link will be my article that contains 36 00:02:06,960 --> 00:02:09,480 Speaker 1: a link to the video, and you look at it, 37 00:02:09,840 --> 00:02:14,359 Speaker 1: and like I said, Hansen's heads are getting very very close. 38 00:02:14,680 --> 00:02:18,280 Speaker 1: The blinking isn't quite there yet, but otherwise just wow. 39 00:02:18,760 --> 00:02:23,040 Speaker 1: I envision one day walking into like a favorite restaurant 40 00:02:23,120 --> 00:02:27,000 Speaker 1: chain with Lee and this very attractive man or woman 41 00:02:27,280 --> 00:02:31,640 Speaker 1: comes up, acting as a Greater and says like, hi, Marshall, 42 00:02:31,919 --> 00:02:33,800 Speaker 1: it's great to have you here. How are the kids? 43 00:02:34,240 --> 00:02:37,000 Speaker 1: And she will be a robot. I'll be able to 44 00:02:37,000 --> 00:02:39,560 Speaker 1: walk into any restaurant in the chain, and I will 45 00:02:39,600 --> 00:02:43,440 Speaker 1: be recognized because all these robots will share the same database, 46 00:02:43,520 --> 00:02:46,359 Speaker 1: and they'll use facial recognition and they'll be able to talk. 47 00:02:46,440 --> 00:02:49,920 Speaker 1: And you know, when you look at the heads that 48 00:02:49,919 --> 00:02:53,800 Speaker 1: that Hanson is creating, it's not that hard to imagine 49 00:02:53,880 --> 00:02:57,160 Speaker 1: it happening in the not too distant future. We got 50 00:02:57,280 --> 00:03:00,440 Speaker 1: to get the natural language processing figure year doubt, and 51 00:03:00,520 --> 00:03:03,520 Speaker 1: we have to get some of the mechanics of walking 52 00:03:03,560 --> 00:03:07,440 Speaker 1: and stuff made more fluid. But it's coming. It's coming, 53 00:03:07,440 --> 00:03:10,320 Speaker 1: and it just wasn't It was really interesting to look 54 00:03:10,360 --> 00:03:14,520 Speaker 1: at how realistic the heads are. So a lot of 55 00:03:14,560 --> 00:03:16,720 Speaker 1: you commented that I need to do some kind of 56 00:03:16,760 --> 00:03:21,280 Speaker 1: separator between stories because it was a little confusing last time. 57 00:03:21,400 --> 00:03:25,880 Speaker 1: So here's the separator flip. You might remember the Icelandic 58 00:03:25,960 --> 00:03:29,400 Speaker 1: volcano that erupted last year. It became famous because it 59 00:03:29,520 --> 00:03:32,600 Speaker 1: totally shut down the airlines in Europe. You may remember 60 00:03:33,000 --> 00:03:35,560 Speaker 1: nothing was flying. They couldn't fly in Europe and they 61 00:03:35,560 --> 00:03:39,480 Speaker 1: couldn't fly between Europe and the United States because of 62 00:03:39,520 --> 00:03:42,520 Speaker 1: the ash that that volcano threw up. The ash would 63 00:03:42,520 --> 00:03:46,120 Speaker 1: get into jet engines and destroy them. So now there's 64 00:03:46,200 --> 00:03:50,640 Speaker 1: evidence in the form of a swarm of earthquakes, that 65 00:03:50,680 --> 00:03:53,520 Speaker 1: there may be another eruption coming up, and it could 66 00:03:53,600 --> 00:03:56,960 Speaker 1: be a lot bigger than the last one. Uh. That 67 00:03:57,120 --> 00:04:00,760 Speaker 1: article is linked in Interesting Reading them or six eighty 68 00:04:00,760 --> 00:04:04,680 Speaker 1: four as well, and it contains this cool quote. The 69 00:04:04,800 --> 00:04:09,720 Speaker 1: last recorded eruption of whatever the name of this volcano is, 70 00:04:09,720 --> 00:04:12,600 Speaker 1: because I can't pronounce it, but let's say it's Barta 71 00:04:12,600 --> 00:04:18,960 Speaker 1: Bunga was in nineteen ten, although volcanologists believe its last 72 00:04:19,080 --> 00:04:22,800 Speaker 1: major eruption occurred in fourteen seventy seven, when it produced 73 00:04:22,839 --> 00:04:27,320 Speaker 1: a large ash and plumas fallout. It also produced the 74 00:04:27,440 --> 00:04:31,760 Speaker 1: largest known lava flow during the past ten thousand years 75 00:04:31,760 --> 00:04:34,600 Speaker 1: on Earth. That's a lot of lava, especially if you've 76 00:04:34,640 --> 00:04:38,200 Speaker 1: ever seen the volcano that's been erupting on Hawaii for 77 00:04:38,680 --> 00:04:42,520 Speaker 1: you know forever, it's produced a lot of lava. And 78 00:04:42,600 --> 00:04:45,960 Speaker 1: to think that this was the largest known lava flow 79 00:04:46,120 --> 00:04:49,200 Speaker 1: in ten thousand years is an incredible amount of lava. 80 00:04:49,320 --> 00:04:53,120 Speaker 1: So if that volcano blows, we may never fly to 81 00:04:53,160 --> 00:04:56,480 Speaker 1: Europe again. For all I know. That article was published 82 00:04:56,480 --> 00:05:02,719 Speaker 1: by the Telegraph. Blip. We now know how fleas are 83 00:05:02,880 --> 00:05:05,400 Speaker 1: able to jump so far. Now. I don't know if 84 00:05:05,400 --> 00:05:08,520 Speaker 1: you've ever experienced fleas, or if you've even ever seen 85 00:05:08,560 --> 00:05:11,440 Speaker 1: a flea jump, and it may not seem like such 86 00:05:11,480 --> 00:05:13,920 Speaker 1: a big deal if you never have, but the jumping 87 00:05:13,960 --> 00:05:18,200 Speaker 1: ability of fleas is utterly amazing when you consider their size. 88 00:05:18,880 --> 00:05:21,960 Speaker 1: I'm gonna admit that I haven't seen a flea in years, 89 00:05:22,080 --> 00:05:26,080 Speaker 1: but that's only because someone invented those flea drops that 90 00:05:26,120 --> 00:05:29,440 Speaker 1: you put on the back of the dog, and they work. 91 00:05:29,520 --> 00:05:32,200 Speaker 1: Those flea drops work incredibly well and they get rid 92 00:05:32,240 --> 00:05:35,760 Speaker 1: of all fleas. But before those drops were invented, I 93 00:05:35,880 --> 00:05:39,040 Speaker 1: used to live on a farm in Zebula, North Carolina, 94 00:05:39,160 --> 00:05:42,080 Speaker 1: and I had eight dogs and they would bring fleas 95 00:05:42,120 --> 00:05:47,200 Speaker 1: into the house, obviously, especially in the summer. And you've 96 00:05:47,240 --> 00:05:49,520 Speaker 1: got a lot of experience with fleas and they really 97 00:05:49,520 --> 00:05:52,680 Speaker 1: are amazing. Or if you've ever seen um some of 98 00:05:52,720 --> 00:05:55,760 Speaker 1: the studies on fleas and flea circuses and stuff, that 99 00:05:56,040 --> 00:05:58,839 Speaker 1: they're they're cool bugs if you don't mind the fact 100 00:05:58,880 --> 00:06:02,640 Speaker 1: that they suck your blood. Anyway, the way these fleas 101 00:06:02,880 --> 00:06:06,919 Speaker 1: jump is that they have what's essentially a spring mechanism, 102 00:06:06,960 --> 00:06:10,920 Speaker 1: and the leg muscle doesn't drive the leg directly, It 103 00:06:11,040 --> 00:06:14,640 Speaker 1: loads up the spring and then releases it. And that 104 00:06:14,880 --> 00:06:18,040 Speaker 1: springs release is what drives the leg and lets the 105 00:06:18,560 --> 00:06:22,800 Speaker 1: fleas jump so far, and the leg has this cool 106 00:06:23,120 --> 00:06:26,680 Speaker 1: kind of multipart lever system that makes the most of 107 00:06:26,720 --> 00:06:29,840 Speaker 1: that spring. So they figured all this out by taking 108 00:06:29,880 --> 00:06:35,600 Speaker 1: these really nice high speed slow motion movies of fleas 109 00:06:35,720 --> 00:06:38,280 Speaker 1: jumping and kind of reverse engineering what was going on. 110 00:06:38,440 --> 00:06:41,800 Speaker 1: So again, if you google interesting reading numbers six eight four, 111 00:06:41,839 --> 00:06:44,040 Speaker 1: you can find an article that has a video showing 112 00:06:44,640 --> 00:06:48,039 Speaker 1: fleas jumping. And you know, I guess you could go 113 00:06:48,080 --> 00:06:51,039 Speaker 1: out and this summer get your dog to bring you 114 00:06:51,080 --> 00:06:52,920 Speaker 1: some fleas and you can watch them do their thing. 115 00:06:52,960 --> 00:06:57,920 Speaker 1: It truly is amazing. Blip. You may have heard that 116 00:06:58,080 --> 00:07:02,120 Speaker 1: Russian scientists have been down in Antarctica this summer, and yes, 117 00:07:02,160 --> 00:07:05,280 Speaker 1: it's summer in Antarctica right now, because that's the Southern Hemisphere, 118 00:07:05,640 --> 00:07:08,599 Speaker 1: and they're trying to drill a borehole through the ice 119 00:07:08,880 --> 00:07:14,800 Speaker 1: to reach an ancient ice entombed lake that's underneath Antarctica, 120 00:07:14,920 --> 00:07:17,880 Speaker 1: and they're hoping to find cool new life forms there 121 00:07:18,200 --> 00:07:20,800 Speaker 1: because this lake has been cut off from everything else 122 00:07:21,000 --> 00:07:25,280 Speaker 1: they think for something like fourteen million years. So they've 123 00:07:25,320 --> 00:07:28,920 Speaker 1: been drilling through the ice more than two miles now 124 00:07:29,080 --> 00:07:33,440 Speaker 1: all summer long, trying to get down into the water 125 00:07:33,520 --> 00:07:37,160 Speaker 1: of this lake, and they're like a hundred feet from 126 00:07:37,200 --> 00:07:40,160 Speaker 1: breaking through and getting to the lake. And they ran 127 00:07:40,200 --> 00:07:42,920 Speaker 1: out of time because summer's ending, and if they were 128 00:07:42,960 --> 00:07:45,560 Speaker 1: to stay there too long, it gets so cold you 129 00:07:45,600 --> 00:07:48,440 Speaker 1: can't take off and land airplanes anymore because it freezes 130 00:07:48,480 --> 00:07:51,080 Speaker 1: up the hydraulic fluid and stuff. And so they had 131 00:07:51,120 --> 00:07:54,360 Speaker 1: to get out. So before they left, they filled this 132 00:07:54,560 --> 00:07:58,320 Speaker 1: two mile deep borehole with kerosene, hopped on their plane 133 00:07:58,320 --> 00:08:01,240 Speaker 1: and took off. The rasine was put there to keep 134 00:08:01,280 --> 00:08:04,400 Speaker 1: the whole from closing back up, so that, you know, 135 00:08:04,400 --> 00:08:06,440 Speaker 1: they don't have to go and redrill the whole thing 136 00:08:07,000 --> 00:08:09,520 Speaker 1: next year, because it took the whole summer to drill it, 137 00:08:09,560 --> 00:08:12,120 Speaker 1: so they need to be able to start with with 138 00:08:12,480 --> 00:08:15,760 Speaker 1: a partially done whole. But as you can imagine, there's 139 00:08:15,760 --> 00:08:17,880 Speaker 1: a lot of people who just are not happy about 140 00:08:17,960 --> 00:08:21,240 Speaker 1: the kerosene. What if the kerosene contaminates the lake, what 141 00:08:21,360 --> 00:08:24,520 Speaker 1: if you know, who knows what else. So you know, 142 00:08:24,560 --> 00:08:27,480 Speaker 1: there are international bodies that worry about this kind of stuff, 143 00:08:27,480 --> 00:08:30,000 Speaker 1: and we'll see how this plays out over the next year. 144 00:08:31,000 --> 00:08:35,200 Speaker 1: Blip Reuters published an article that says that Facebook and 145 00:08:35,280 --> 00:08:39,160 Speaker 1: Google are considering the idea of buying Twitter. The thing 146 00:08:39,200 --> 00:08:42,520 Speaker 1: that's most amazing about the article is the price. It's 147 00:08:42,559 --> 00:08:46,840 Speaker 1: as high as ten billion dollars for Twitter. Just to 148 00:08:46,880 --> 00:08:50,840 Speaker 1: put that into perspective, that's like what that's like two 149 00:08:50,880 --> 00:08:54,160 Speaker 1: hours of the Iraqi war. Okay, that's a bad analogy, 150 00:08:54,200 --> 00:08:57,040 Speaker 1: but let's put it in a different perspective. Think about 151 00:08:57,800 --> 00:09:00,920 Speaker 1: all of the factories and all of the employees and 152 00:09:01,120 --> 00:09:04,800 Speaker 1: all the stuff that General Motors has to have in 153 00:09:04,960 --> 00:09:09,880 Speaker 1: order to be a worldwide company making, you know, millions 154 00:09:09,920 --> 00:09:17,440 Speaker 1: of automobiles. It's a huge, unbelievable, complicated, a massive company. 155 00:09:17,559 --> 00:09:21,120 Speaker 1: That company, if they were to sell a hundred thousand 156 00:09:21,280 --> 00:09:25,440 Speaker 1: Chevy Vaults at forty tho dollars each, that transaction alone, 157 00:09:25,559 --> 00:09:30,000 Speaker 1: that one model alone, that's four billion dollars. GM is 158 00:09:30,040 --> 00:09:34,480 Speaker 1: a massive company. That company is only worth fifty billion 159 00:09:34,520 --> 00:09:37,920 Speaker 1: dollars in market cap, and Forward is about the same. 160 00:09:38,720 --> 00:09:43,120 Speaker 1: So you have Twitter, which is little hundred and forty 161 00:09:43,200 --> 00:09:46,400 Speaker 1: character messages that people randomly flip off to each other, 162 00:09:47,000 --> 00:09:50,520 Speaker 1: and you have GM, which forges cars and trucks out 163 00:09:50,520 --> 00:09:53,920 Speaker 1: of steel and aluminum to drive the nation or whatever. 164 00:09:54,520 --> 00:09:57,280 Speaker 1: Yet GM is worth not that much more than Twitter. 165 00:09:57,400 --> 00:10:01,120 Speaker 1: It's just it's amazing. So what does this mean? Think 166 00:10:01,120 --> 00:10:04,240 Speaker 1: about it? What does this mean? This means that we 167 00:10:04,320 --> 00:10:08,199 Speaker 1: need to get out there and start us some websites. Wow, 168 00:10:08,280 --> 00:10:11,280 Speaker 1: we we need to be creating websites because who knows 169 00:10:11,679 --> 00:10:14,880 Speaker 1: what the next Twitter like idea will be or where 170 00:10:14,920 --> 00:10:17,719 Speaker 1: it will come from. You know, it's just not that 171 00:10:17,800 --> 00:10:22,000 Speaker 1: complicated an idea to be worth that kind of money, 172 00:10:22,160 --> 00:10:27,440 Speaker 1: and it indicates that we should be creating websites. Blip 173 00:10:27,960 --> 00:10:30,280 Speaker 1: I did a podcast about this a couple of months ago, 174 00:10:30,679 --> 00:10:33,480 Speaker 1: but it broke into the mainstream news this week. So 175 00:10:33,559 --> 00:10:36,520 Speaker 1: let me let me just mention it again. A scientist 176 00:10:36,600 --> 00:10:39,960 Speaker 1: has developed what is being called a thinking cap or 177 00:10:40,040 --> 00:10:45,480 Speaker 1: a creativity cap that can enhance your creative abilities by 178 00:10:45,520 --> 00:10:50,080 Speaker 1: disrupting your left hemisphere. So think about some of the 179 00:10:50,120 --> 00:10:53,880 Speaker 1: things savants can do. Like, you know, you've probably seen 180 00:10:54,920 --> 00:10:58,560 Speaker 1: this with certain autistic people. You can, you know, drop 181 00:10:58,559 --> 00:11:00,360 Speaker 1: a box of matches on the floor, or and they 182 00:11:00,360 --> 00:11:03,840 Speaker 1: can instantly count all the matches just by looking at 183 00:11:03,840 --> 00:11:07,120 Speaker 1: it one time. Or they can draw incredibly well, or 184 00:11:07,160 --> 00:11:10,200 Speaker 1: they have photographic memories, or they can solve complex math 185 00:11:10,280 --> 00:11:14,200 Speaker 1: problems in their head. Most normal people can't do this 186 00:11:14,360 --> 00:11:18,320 Speaker 1: kind of stuff, But it turns out maybe we actually can. 187 00:11:18,760 --> 00:11:22,880 Speaker 1: And what this thinking cap or creativity cap does is 188 00:11:23,000 --> 00:11:26,880 Speaker 1: it gets in and disrupts part of the left hemisphere 189 00:11:27,000 --> 00:11:31,319 Speaker 1: for a period of time like an hour, and these 190 00:11:31,360 --> 00:11:35,560 Speaker 1: abilities get uncovered in normal people. It's almost like the 191 00:11:35,679 --> 00:11:40,599 Speaker 1: left hemisphere is masking them or or making these abilities, 192 00:11:41,400 --> 00:11:44,520 Speaker 1: uh be suppressed. And once you get the left hemisphere 193 00:11:44,520 --> 00:11:49,479 Speaker 1: out of the picture, prestoh, these magical abilities become available 194 00:11:49,520 --> 00:11:53,120 Speaker 1: to normal people. So one professor who's working on this 195 00:11:53,160 --> 00:11:57,200 Speaker 1: project calls it the biggest cognitive enhancement we are aware of. 196 00:11:57,920 --> 00:12:01,760 Speaker 1: And you know, this could become a commercial product in 197 00:12:01,960 --> 00:12:04,959 Speaker 1: the not too distant future because this isn't like you know, 198 00:12:05,040 --> 00:12:07,600 Speaker 1: it doesn't require a machine the size of a skyscraper 199 00:12:07,640 --> 00:12:09,800 Speaker 1: or anything like that. It's a really pretty simple device. 200 00:12:10,360 --> 00:12:12,800 Speaker 1: So it's something you know, maybe we can buy it 201 00:12:12,840 --> 00:12:16,960 Speaker 1: at Best Buy in in two years or something like that. Blip. 202 00:12:17,520 --> 00:12:20,680 Speaker 1: There was a lot of stuff about tablet computers this week. 203 00:12:21,000 --> 00:12:24,920 Speaker 1: The biggest announcement probably is from HP, which released its 204 00:12:24,960 --> 00:12:29,360 Speaker 1: new touch pad tablet. So last week there were only 205 00:12:29,559 --> 00:12:35,400 Speaker 1: three major tablet operating systems. There was Apples, there was Android, 206 00:12:35,440 --> 00:12:39,200 Speaker 1: and there was Windows seven. So this week the hp 207 00:12:39,240 --> 00:12:42,840 Speaker 1: product makes a completely new operating system available, and this 208 00:12:42,880 --> 00:12:45,840 Speaker 1: one is called web os, which was developed by Palm 209 00:12:46,360 --> 00:12:48,880 Speaker 1: and hp bot. Palm last year in order to get 210 00:12:48,880 --> 00:12:53,440 Speaker 1: web os the demos that you can find on YouTube 211 00:12:53,720 --> 00:12:56,840 Speaker 1: or you know, on on the brain stuff blog. There's 212 00:12:56,840 --> 00:13:00,120 Speaker 1: a lot of videos out. They look pretty interesting and 213 00:13:00,160 --> 00:13:03,319 Speaker 1: will know probably in a year whether this operating system 214 00:13:03,440 --> 00:13:06,800 Speaker 1: is able to get any traction and take off. Meanwhile, 215 00:13:07,160 --> 00:13:11,640 Speaker 1: the iPad two has apparently gone into production in preparation 216 00:13:11,720 --> 00:13:16,080 Speaker 1: for its announcements sometime this spring. Apple has sold something 217 00:13:16,120 --> 00:13:20,080 Speaker 1: like fifteen million of the original iPads, or more than 218 00:13:20,120 --> 00:13:22,880 Speaker 1: a million a month, so it needs to start production 219 00:13:23,000 --> 00:13:25,800 Speaker 1: long before the announcement in order to get enough new 220 00:13:25,920 --> 00:13:30,520 Speaker 1: iPads into the pipeline to meet demand. Once the announcement happens, 221 00:13:31,000 --> 00:13:33,520 Speaker 1: of course, the new one's thinner, and it'll have a 222 00:13:33,600 --> 00:13:36,440 Speaker 1: camera for FaceTime on the front of it, and the 223 00:13:36,480 --> 00:13:40,320 Speaker 1: CPU gets upgraded. But you know, it's not that much 224 00:13:40,360 --> 00:13:43,720 Speaker 1: different from the existing iPad. It certainly can't jump as 225 00:13:43,720 --> 00:13:46,920 Speaker 1: far as a flea can or anything like that. Blip 226 00:13:47,480 --> 00:13:51,240 Speaker 1: Wired wrote about a piece of performance art that is 227 00:13:51,280 --> 00:13:55,840 Speaker 1: really pretty original. Two people donate their white blood cells 228 00:13:56,040 --> 00:13:58,600 Speaker 1: and then those white blood cells battle it out in 229 00:13:58,640 --> 00:14:01,640 Speaker 1: an arena under a my groscope to see who has 230 00:14:01,720 --> 00:14:05,240 Speaker 1: the stronger immune system. This is not quite as easy 231 00:14:05,280 --> 00:14:07,760 Speaker 1: as it sounds, because you have to have somebody draw blood, 232 00:14:07,800 --> 00:14:10,199 Speaker 1: and then the white blood cells need to be isolated 233 00:14:10,679 --> 00:14:13,720 Speaker 1: from the red blood cells and and put aside, and 234 00:14:13,760 --> 00:14:15,760 Speaker 1: then they need to be stained with a color so 235 00:14:15,840 --> 00:14:18,480 Speaker 1: you know which team is winning and which team is losing. 236 00:14:18,920 --> 00:14:22,200 Speaker 1: But you have to admit that it's a pretty interesting 237 00:14:22,240 --> 00:14:24,800 Speaker 1: way for two people to have a competition, and then 238 00:14:25,040 --> 00:14:27,240 Speaker 1: you know the winner can go on and and fight 239 00:14:27,280 --> 00:14:31,440 Speaker 1: with somebody else. You can imagine Obama versus Putin or 240 00:14:31,520 --> 00:14:35,800 Speaker 1: something coming up in the future. Blip. NASA is getting 241 00:14:35,840 --> 00:14:39,120 Speaker 1: ready to design another new rocket, but it's arguing with 242 00:14:39,200 --> 00:14:42,360 Speaker 1: Congress right now about the cost of that new rocket. 243 00:14:42,800 --> 00:14:45,160 Speaker 1: And as you may recall, NASA is about to have 244 00:14:45,240 --> 00:14:48,920 Speaker 1: its last Shuttle flight, and last year NASA had its 245 00:14:48,960 --> 00:14:52,440 Speaker 1: first test flight of its Constellation rocket that was going 246 00:14:52,520 --> 00:14:55,760 Speaker 1: to replace the Shuttle in terms of getting people into orbit, 247 00:14:56,280 --> 00:14:59,440 Speaker 1: but the Constellation program was cut with the hope that 248 00:14:59,520 --> 00:15:03,200 Speaker 1: private companies can pick up the slack. The other rocket 249 00:15:03,240 --> 00:15:05,960 Speaker 1: that NASA needs to build is a heavy lift vehicle 250 00:15:06,080 --> 00:15:09,520 Speaker 1: because the Shuttle was good at getting big stuff into orbit. 251 00:15:10,000 --> 00:15:13,000 Speaker 1: This heavy lift rocket would use many of the parts 252 00:15:13,040 --> 00:15:15,880 Speaker 1: from the Shuttle, including the solid rocket boosters and the 253 00:15:15,880 --> 00:15:19,480 Speaker 1: Shuttle's main engines, in order to cut the costs. But 254 00:15:19,640 --> 00:15:22,320 Speaker 1: NASA still isn't sure that it has enough money to 255 00:15:22,360 --> 00:15:26,600 Speaker 1: bring this thing into into flight status. We should be 256 00:15:26,640 --> 00:15:30,280 Speaker 1: able to see the results of their calculations by this summer, 257 00:15:30,760 --> 00:15:33,960 Speaker 1: and if the money is available, the new rocket is 258 00:15:34,000 --> 00:15:37,520 Speaker 1: supposed to have test flights in five years. Speaking of 259 00:15:37,520 --> 00:15:40,920 Speaker 1: the Shuttle, there's been some discussion of letting a private 260 00:15:41,000 --> 00:15:44,160 Speaker 1: company take over the Shuttle after it retires so that 261 00:15:44,200 --> 00:15:48,520 Speaker 1: it can keep flying. A company called United Space Alliance 262 00:15:48,640 --> 00:15:51,720 Speaker 1: already is in charge of the thousands of people who 263 00:15:51,800 --> 00:15:55,480 Speaker 1: process shuttles for flight and launch them. This company would 264 00:15:55,480 --> 00:15:58,920 Speaker 1: take over and fly the Shuttle as a private enterprise, 265 00:15:59,040 --> 00:16:01,480 Speaker 1: rather than seeing it of balled. It might be a 266 00:16:01,520 --> 00:16:04,720 Speaker 1: win win for both the employees of that company and 267 00:16:04,880 --> 00:16:09,120 Speaker 1: NASA if they can pull this off. Blip, a new 268 00:16:09,200 --> 00:16:13,120 Speaker 1: drone for the Navy that is a pilot less aircraft, 269 00:16:13,160 --> 00:16:16,200 Speaker 1: took its first flight this week. This one's unique because 270 00:16:16,240 --> 00:16:19,680 Speaker 1: it's stealthy, and it also should be able to replace 271 00:16:19,800 --> 00:16:23,080 Speaker 1: manned fighters, and if things work out as planned, it 272 00:16:23,080 --> 00:16:25,760 Speaker 1: will be able to take off and land on aircraft carriers, 273 00:16:25,760 --> 00:16:28,840 Speaker 1: which would be a first. It has a longer range 274 00:16:28,840 --> 00:16:32,000 Speaker 1: than manned fighters, over two thousand miles, meaning that an 275 00:16:32,040 --> 00:16:35,040 Speaker 1: aircraft carrier could sit hundreds of miles away from the 276 00:16:35,120 --> 00:16:39,720 Speaker 1: target and launch these drones at enemy targets, particularly at 277 00:16:39,760 --> 00:16:42,640 Speaker 1: any aircraft installations where you don't want to be flying 278 00:16:42,680 --> 00:16:45,840 Speaker 1: people near them anyway. So if things work out in 279 00:16:45,880 --> 00:16:48,480 Speaker 1: the next couple of years, those things will start landing 280 00:16:48,520 --> 00:16:52,920 Speaker 1: and taking off from carriers and that will begin, you know, 281 00:16:52,960 --> 00:16:54,800 Speaker 1: that will be the start of the beginning of the 282 00:16:54,920 --> 00:16:59,240 Speaker 1: end of manned flight, probably because once you get drones 283 00:16:59,320 --> 00:17:02,600 Speaker 1: that can replay fighters, robots are going to take over 284 00:17:02,640 --> 00:17:07,520 Speaker 1: that whole business. Probably. Blip pharmacies in the United States 285 00:17:07,680 --> 00:17:11,360 Speaker 1: have a problem. People who are addicted to pain killers 286 00:17:11,359 --> 00:17:14,960 Speaker 1: have started robbing pharmacies to get the drugs in the 287 00:17:15,080 --> 00:17:17,560 Speaker 1: same way that people rob banks. You know, like a 288 00:17:17,600 --> 00:17:20,680 Speaker 1: guy with a mask or a you know, pantyhose over 289 00:17:20,720 --> 00:17:23,040 Speaker 1: his face comes in with a gun or a machete 290 00:17:23,119 --> 00:17:26,760 Speaker 1: or a knife for something like that and demands, you know, 291 00:17:26,800 --> 00:17:29,040 Speaker 1: it's not give me all your money. It's give me 292 00:17:29,160 --> 00:17:32,880 Speaker 1: your pain killers. And this is happening more and more 293 00:17:32,960 --> 00:17:36,000 Speaker 1: at local drug stores. There are now hundreds of pharmacy 294 00:17:36,080 --> 00:17:40,200 Speaker 1: robberies every year. It's getting so bad that we may 295 00:17:40,240 --> 00:17:43,800 Speaker 1: have to start buying our prescriptions through cages or through 296 00:17:43,880 --> 00:17:47,760 Speaker 1: bulletproof glass dividers to keep robbers away from the drugs. 297 00:17:48,119 --> 00:17:50,600 Speaker 1: If you go to how stuff works and read how 298 00:17:50,720 --> 00:17:55,560 Speaker 1: OxyContin works, you can understand why this is happening. Blip. 299 00:17:56,520 --> 00:17:59,520 Speaker 1: And finally I saw this this morning and it it 300 00:17:59,720 --> 00:18:02,719 Speaker 1: just well, let me say that someone suggested that I 301 00:18:02,960 --> 00:18:06,439 Speaker 1: end on something that was particularly interesting and funny to be, 302 00:18:06,600 --> 00:18:09,840 Speaker 1: so this is it. I saw an article in Fast 303 00:18:09,880 --> 00:18:14,240 Speaker 1: Company magazine talking about the death of Dig. If you've 304 00:18:14,280 --> 00:18:18,440 Speaker 1: been following social media sites, Dig started imploding last year 305 00:18:18,600 --> 00:18:22,280 Speaker 1: when they did a redesign that that absolutely ticked off 306 00:18:22,359 --> 00:18:26,200 Speaker 1: their audience. So they haven't recovered from that, and so 307 00:18:26,359 --> 00:18:29,760 Speaker 1: the article is called why dig may never find its 308 00:18:29,800 --> 00:18:32,560 Speaker 1: way back. So I was reading this article and way 309 00:18:32,600 --> 00:18:35,359 Speaker 1: down at the bottom of it, there is this amazing 310 00:18:35,440 --> 00:18:40,439 Speaker 1: little paragraph that says, and I quote, most would be 311 00:18:40,520 --> 00:18:44,040 Speaker 1: shocked to learn that some of Dig's competitors actually pay 312 00:18:44,119 --> 00:18:48,720 Speaker 1: people to generate interesting, witty and intellectual comments. It's not 313 00:18:48,880 --> 00:18:52,520 Speaker 1: discussed in many circles, but nobody really worries if it 314 00:18:52,560 --> 00:18:56,320 Speaker 1: makes us laugh, smile or think? Who cares if it's artificial? 315 00:18:56,600 --> 00:18:59,840 Speaker 1: End quote? Now is that true? Like when you go 316 00:18:59,880 --> 00:19:04,119 Speaker 1: to Reddit or slash dot or farc are you you know, 317 00:19:04,200 --> 00:19:07,120 Speaker 1: are a lot of the comments being produced by ringers 318 00:19:07,200 --> 00:19:09,800 Speaker 1: who have been paid to put those comments in there? 319 00:19:10,160 --> 00:19:11,960 Speaker 1: And if it is true, how much do you get 320 00:19:12,000 --> 00:19:15,680 Speaker 1: paid to put artificial comments into a website? Like? Think 321 00:19:15,680 --> 00:19:18,000 Speaker 1: about it? If you're addicted to a site like dig 322 00:19:18,080 --> 00:19:21,240 Speaker 1: or Reddit, how easy would a job like that be you? 323 00:19:22,280 --> 00:19:24,400 Speaker 1: What do you do for a living? Well? I read 324 00:19:24,520 --> 00:19:27,520 Speaker 1: articles on websites and I write witty comments and get 325 00:19:27,520 --> 00:19:29,480 Speaker 1: paid for it. That would be it, you know, that 326 00:19:29,520 --> 00:19:31,399 Speaker 1: would be a pretty nice way to make a living 327 00:19:31,680 --> 00:19:35,560 Speaker 1: if it pays anything. Anyway, That's it for today. I'm 328 00:19:35,600 --> 00:19:39,200 Speaker 1: Marshall brain and until next time, have a good weekend 329 00:19:41,520 --> 00:19:44,400 Speaker 1: for moralns and thousands of other topics. Doesn't how stuff 330 00:19:44,400 --> 00:19:46,560 Speaker 1: works dot com and don't forget to check out the 331 00:19:46,560 --> 00:19:48,600 Speaker 1: brain stuff blog on the house stuff works dot com 332 00:19:48,640 --> 00:19:51,480 Speaker 1: home page. You can also follow brain stuff on Facebook 333 00:19:51,560 --> 00:19:56,720 Speaker 1: or Twitter at brain stuff hsw the house Stuff Works 334 00:19:56,720 --> 00:19:59,880 Speaker 1: I fine app has a ride. Download it today on iTunes. 335 00:20:00,520 --> 00:20:02,760 Speaker 1: Three Boo two