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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:10,224 --> 00:00:11,355 This week on "VICE," 3 00:00:11,391 --> 00:00:14,926 the battle over what is and what isn't fake news. 4 00:00:14,961 --> 00:00:16,795 Violence against Trump supporters 5 00:00:16,829 --> 00:00:18,980 isn't being covered. Why is that? 6 00:00:19,030 --> 00:00:21,666 - I am, madam. - You're like every other goddamn guy 7 00:00:21,702 --> 00:00:23,734 who comes in with a fucking opinion. 8 00:00:23,769 --> 00:00:26,236 "VICE" is fake news? What are you talking about? 9 00:00:26,271 --> 00:00:28,138 We did allow the enemy into the house. 10 00:00:28,175 --> 00:00:31,242 And then, unlocking the mysteries of human health 11 00:00:31,277 --> 00:00:32,877 in our microbiome. 12 00:00:32,912 --> 00:00:34,645 This is a medicine for headaches. 13 00:00:36,149 --> 00:00:37,215 Whoa! 14 00:00:37,250 --> 00:00:39,584 We've shifted too far away from the environments 15 00:00:39,618 --> 00:00:40,618 which supported our health, 16 00:00:40,652 --> 00:00:42,686 and now we need to move backwards a little. 17 00:00:49,527 --> 00:00:50,828 Go, go, go! 18 00:00:53,432 --> 00:00:55,098 We are not animals! 19 00:01:06,578 --> 00:01:08,712 Since the last presidential election, 20 00:01:08,748 --> 00:01:11,046 America has become increasingly divided. 21 00:01:11,081 --> 00:01:13,816 If you want to discover the source 22 00:01:13,852 --> 00:01:16,453 of the division in our country, 23 00:01:16,487 --> 00:01:18,254 look no further 24 00:01:18,289 --> 00:01:20,656 than the fake news and the crooked media. 25 00:01:20,692 --> 00:01:23,393 So much so that today's political opponents 26 00:01:23,427 --> 00:01:25,361 are not only arguing over the issues, 27 00:01:25,396 --> 00:01:28,664 but also over what is actually considered a fact. 28 00:01:28,700 --> 00:01:31,268 Facts really have no meaning. 29 00:01:31,302 --> 00:01:33,870 Facts are only true to the progressives. 30 00:01:33,905 --> 00:01:35,572 That's not what we do. We are in the business 31 00:01:35,606 --> 00:01:37,706 of sussing out what is true and what is false. 32 00:01:37,742 --> 00:01:40,477 The debate over what is or is not fake news 33 00:01:40,512 --> 00:01:43,012 has become the latest partisan controversy 34 00:01:43,046 --> 00:01:44,412 in the United States. 35 00:01:44,448 --> 00:01:47,015 So we sent Isobel Yeung to Washington, D.C., 36 00:01:47,051 --> 00:01:49,985 the frontlines in this battle for the truth. 37 00:01:57,395 --> 00:01:58,593 We're here at the White House, 38 00:01:58,628 --> 00:02:00,396 about to head into the press room 39 00:02:00,430 --> 00:02:02,131 for the media's daily briefing. 40 00:02:02,167 --> 00:02:03,632 During the Trump administration, 41 00:02:03,668 --> 00:02:04,801 there's been a lot of tensions playing out 42 00:02:04,835 --> 00:02:07,969 between the mainstream media and alternative news sources 43 00:02:08,006 --> 00:02:09,538 that have been spreading fake news, 44 00:02:09,573 --> 00:02:13,276 and often that battle plays out inside this press room. 45 00:02:15,680 --> 00:02:16,679 So, what's the goal? 46 00:02:16,713 --> 00:02:18,514 You're going to be Periscoping the whole briefing? 47 00:02:18,549 --> 00:02:20,316 Yeah, I'll see what the vibe is. 48 00:02:20,350 --> 00:02:21,483 You want people to watch 49 00:02:21,519 --> 00:02:23,985 what you do, as your own brand. 50 00:02:24,021 --> 00:02:25,853 That's the key. 51 00:02:27,123 --> 00:02:29,257 Can I ask you to move over to the left here a little bit? 52 00:02:29,293 --> 00:02:30,325 Sorry. 53 00:02:30,360 --> 00:02:32,194 Mike Cernovich is part of a new class 54 00:02:32,228 --> 00:02:34,128 of conservative media personalities 55 00:02:34,163 --> 00:02:36,764 who garnered huge popularity online 56 00:02:36,800 --> 00:02:38,700 throughout the 2016 election, 57 00:02:38,735 --> 00:02:41,302 and are now gaining access to the White House press room. 58 00:02:42,772 --> 00:02:44,639 - _ - Hi, guys. 59 00:02:45,742 --> 00:02:47,575 Uh, I hope you guys had a good weekend. 60 00:02:47,610 --> 00:02:50,009 It was definitely a busy one for the Trump administration. 61 00:02:50,045 --> 00:02:52,513 Over 27,000 people watched 62 00:02:52,549 --> 00:02:55,149 as Mike Cernovich live-streamed the briefing. 63 00:02:55,183 --> 00:02:57,651 Your questions. Jill. 64 00:02:57,687 --> 00:02:58,649 John. 65 00:02:58,655 --> 00:03:00,420 - Sarah. - Thanks, Sean. 66 00:03:00,456 --> 00:03:02,056 - Zeke. - Thanks, Sean. 67 00:03:02,091 --> 00:03:04,290 Margaret. Margaret, Margaret. 68 00:03:04,326 --> 00:03:06,493 What about violence against Trump supporters? 69 00:03:06,528 --> 00:03:08,127 The media endorses violence. 70 00:03:08,163 --> 00:03:10,365 When you have been asked about, uh, 71 00:03:10,400 --> 00:03:13,099 President Duterte and his human rights record... 72 00:03:13,134 --> 00:03:15,736 Well, I think there's an economic piece to this as well. 73 00:03:15,771 --> 00:03:17,805 What about violence against Trump supporters 74 00:03:17,841 --> 00:03:19,473 that's happened at Berkeley? 75 00:03:19,508 --> 00:03:20,841 And again, I'm just gonna let... 76 00:03:20,877 --> 00:03:22,175 the President will have an opportunity 77 00:03:22,211 --> 00:03:24,944 to speak with him about those objectives. 78 00:03:24,980 --> 00:03:26,881 So, with that, I'll see you guys tomorrow. 79 00:03:26,915 --> 00:03:28,147 Have a great day. Thank you. 80 00:03:28,183 --> 00:03:30,317 What about violence against Trump supporters in Berkeley? 81 00:03:30,353 --> 00:03:31,885 The violence against Trump supporters 82 00:03:31,920 --> 00:03:33,486 isn't being covered. Why is that? 83 00:03:33,521 --> 00:03:35,990 Why will nobody here cover 84 00:03:36,025 --> 00:03:37,656 the violence against Trump supporters, 85 00:03:37,692 --> 00:03:40,694 and why won't you demand that leaders of the Democrats 86 00:03:40,728 --> 00:03:42,596 disavow the violence from Antifa, 87 00:03:42,631 --> 00:03:44,865 the way you demanded Trump disavow 88 00:03:44,901 --> 00:03:46,633 violence from his supporters? 89 00:03:46,668 --> 00:03:48,801 - You have no answer? - _ 90 00:03:48,836 --> 00:03:49,903 I am, madam. 91 00:03:49,938 --> 00:03:53,006 It is very important that this get out there. Thank you. 92 00:03:58,280 --> 00:04:00,145 I didn't see actual, you know... 93 00:04:00,181 --> 00:04:01,681 I didn't see any real journalism there. 94 00:04:01,717 --> 00:04:04,250 A lot of high school kids in there. 95 00:04:04,286 --> 00:04:06,286 I got to take you back behind the scenes 96 00:04:06,320 --> 00:04:08,353 and... we'll talk soon. 97 00:04:12,159 --> 00:04:13,651 _ 98 00:04:13,651 --> 00:04:14,651 _ 99 00:04:14,652 --> 00:04:16,875 _ 100 00:04:16,882 --> 00:04:18,331 I do. I want the violence 101 00:04:18,365 --> 00:04:19,932 against Trump supporters to be... 102 00:04:19,968 --> 00:04:21,935 I want to hold the Democrats to the fire. 103 00:04:21,970 --> 00:04:23,937 And here's what I know... here's the way I know... 104 00:04:23,971 --> 00:04:26,538 - Time out. It's the White House. - Yeah. Right. 105 00:04:26,574 --> 00:04:28,040 You wanna hold the Democrats to the fire, 106 00:04:28,074 --> 00:04:29,408 go to the Democrats. 107 00:04:29,444 --> 00:04:31,610 You have a point of view, and I understand, 108 00:04:31,646 --> 00:04:33,446 but you don't understand journalism. 109 00:04:33,480 --> 00:04:35,781 You don't understand what we're really here for, 110 00:04:35,817 --> 00:04:37,316 and that's what pisses me off. 111 00:04:37,350 --> 00:04:38,951 You're like every other goddamn guy 112 00:04:38,985 --> 00:04:40,786 that comes in with a fucking opinion, 113 00:04:40,822 --> 00:04:42,353 and instead of listening, 114 00:04:42,389 --> 00:04:44,322 instead of really finding out the issues, 115 00:04:44,358 --> 00:04:45,858 you want to grandstand 116 00:04:45,893 --> 00:04:47,492 at the end of a goddamn meeting. 117 00:04:47,528 --> 00:04:49,127 I just want to see the violence 118 00:04:49,163 --> 00:04:51,028 against Trump supporters, which is rampant... 119 00:04:51,064 --> 00:04:53,165 I want to see some actual leadership from the media on that. 120 00:04:53,199 --> 00:04:54,834 I wanna see them hold Democrats accountable. 121 00:04:54,869 --> 00:04:57,201 We're not leaders! We're reporters! 122 00:04:57,237 --> 00:04:58,637 Before Cernovich fancied himself 123 00:04:58,673 --> 00:05:00,072 as a political reporter, 124 00:05:00,107 --> 00:05:01,271 he was a little-known blogger 125 00:05:01,307 --> 00:05:03,139 on the Internet's alt-right fringes. 126 00:05:03,175 --> 00:05:05,009 We might have some breaking news... 127 00:05:05,043 --> 00:05:06,845 During the 2016 election, 128 00:05:06,879 --> 00:05:08,612 he began spreading pro-Trump propaganda 129 00:05:08,648 --> 00:05:11,214 and conspiracy theories about Hillary Clinton. 130 00:05:11,250 --> 00:05:13,184 A lot of you don't have the trained eye, 131 00:05:13,218 --> 00:05:15,954 so you might not be able to see this right away, 132 00:05:15,988 --> 00:05:18,221 but she's doing Parkinson's shuffling. 133 00:05:18,257 --> 00:05:20,156 He now has over half a million followers 134 00:05:20,192 --> 00:05:22,927 across multiple platforms. 135 00:05:22,963 --> 00:05:24,696 To get a better sense of his operation, 136 00:05:24,730 --> 00:05:29,000 we went to his house slash headquarters in Orange County. 137 00:05:29,035 --> 00:05:31,401 Every day I think, "How am I gonna build 138 00:05:31,437 --> 00:05:33,303 a platform and make it bigger?" 139 00:05:33,338 --> 00:05:34,704 The old days of, you know, 140 00:05:34,740 --> 00:05:37,307 "I'm just one guy and I work for the whatever newspaper," 141 00:05:37,343 --> 00:05:39,942 that's how you become irrelevant, that's how you die. 142 00:05:39,978 --> 00:05:41,379 To stay relevant, 143 00:05:41,413 --> 00:05:44,115 Cernovich spends his days Periscoping to his followers 144 00:05:44,149 --> 00:05:46,216 from a bedroom-cum-studio upstairs. 145 00:05:46,252 --> 00:05:48,819 - So, here it is. - This is where... this is the office. 146 00:05:48,853 --> 00:05:50,821 This is where the magic happens. 147 00:05:55,593 --> 00:05:57,995 As you see, I just have things cobbled together here. 148 00:05:58,031 --> 00:05:59,829 So, this computer here 149 00:05:59,865 --> 00:06:02,165 will be my YouTube. 150 00:06:02,201 --> 00:06:04,735 This one will be my Periscope. 151 00:06:04,769 --> 00:06:06,435 These are my burner phones. 152 00:06:06,471 --> 00:06:08,738 And I could do a lot more if I had more... 153 00:06:08,774 --> 00:06:10,339 - stuff. - Yeah, you're good at making yourself 154 00:06:10,375 --> 00:06:12,341 - sound bigger than you are. - Exactly. 155 00:06:12,377 --> 00:06:14,810 Well, it depends on how you measure impact, right? 156 00:06:14,846 --> 00:06:16,846 How many individual journalists 157 00:06:16,882 --> 00:06:18,949 get more views than I do a month? 158 00:06:18,983 --> 00:06:20,550 You know? Not many. 159 00:06:21,485 --> 00:06:22,786 And... we're back. 160 00:06:22,821 --> 00:06:24,588 Hottest story of the day, of course, 161 00:06:24,622 --> 00:06:28,024 is that CNN staging the fake news media thing. 162 00:06:28,060 --> 00:06:30,726 There's a camera guy in the background, by the way. 163 00:06:30,762 --> 00:06:33,029 We did... we did allow the enemy into the house. 164 00:06:33,064 --> 00:06:35,331 I met this person, Isobel... do you want to say hi, Isobel? 165 00:06:35,367 --> 00:06:36,966 Hi, guys. 166 00:06:37,000 --> 00:06:38,534 I'm Isobel Yeung, from "VICE." 167 00:06:38,569 --> 00:06:40,536 I met Isabella... how do you say your last name? 168 00:06:40,572 --> 00:06:41,637 Isobel Yeung. 169 00:06:41,673 --> 00:06:43,473 "'VICE' is fake news." What are you talking about? 170 00:06:43,507 --> 00:06:45,841 Here, you can sit down. They can't see you on YouTube. 171 00:06:45,877 --> 00:06:47,377 "Fuck you. Fuck 'VICE."' 172 00:06:47,411 --> 00:06:49,678 Some people are happy, some people are don't. 173 00:06:49,713 --> 00:06:51,314 "Isobel, are you ISIS?" 174 00:06:51,348 --> 00:06:53,682 Right, that's... that's the new thing. 175 00:06:53,718 --> 00:06:55,750 CNN is ISIS. It's kind of like a new thing. 176 00:06:55,786 --> 00:06:58,088 So, what are you trying to do here? What are you trying to achieve? 177 00:06:58,122 --> 00:06:59,889 Just, like, hanging out, really. 178 00:06:59,923 --> 00:07:02,125 So, when I... when I go live, I can actually 179 00:07:02,160 --> 00:07:04,660 feel parts of my brain activated, 180 00:07:04,696 --> 00:07:07,297 because I'm plugging out of... 181 00:07:07,331 --> 00:07:09,231 this physical world, 182 00:07:09,266 --> 00:07:11,733 and I'm plugging into this collective consciousness, 183 00:07:11,768 --> 00:07:14,002 this collective matrix. 184 00:07:14,036 --> 00:07:16,204 Anyway, I'll be coming back tonight 185 00:07:16,240 --> 00:07:19,274 to do a live show, so like and subscribe. 186 00:07:21,411 --> 00:07:23,545 Do you think that it's the failings 187 00:07:23,581 --> 00:07:24,612 of the mainstream media 188 00:07:24,648 --> 00:07:27,249 that has allowed for the rise of people like you? 189 00:07:27,283 --> 00:07:29,218 Oh, for sure, because they didn't want to cover 190 00:07:29,252 --> 00:07:30,685 the kind of stories we thought were important. 191 00:07:30,721 --> 00:07:33,387 If you don't cover stories that a lot of people want to hear about, 192 00:07:33,423 --> 00:07:35,423 then that's a market opportunity for other people 193 00:07:35,459 --> 00:07:37,391 and that vacuum is going to be kind of filled. 194 00:07:37,427 --> 00:07:39,093 I'm going to ask you a few questions, actually, 195 00:07:39,129 --> 00:07:40,728 which will be "yes" or "no." 196 00:07:40,764 --> 00:07:43,331 Do you believe that Hillary Clinton was involved 197 00:07:43,367 --> 00:07:45,865 in a child pedophilia ring? 198 00:07:45,901 --> 00:07:48,269 I believe... definitely that whole story... 199 00:07:48,303 --> 00:07:50,380 Yes or no. Do you believe that Hillary Clinton 200 00:07:50,382 --> 00:07:51,481 was involved in a child pedophilia ring? 201 00:07:51,673 --> 00:07:53,040 Well, it depends on how you define it, 202 00:07:53,074 --> 00:07:56,009 because there's multiple definitions of that. 203 00:07:56,045 --> 00:07:58,678 On the 3rd of November... so five days before the election... 204 00:07:58,713 --> 00:08:00,014 you tweeted... 205 00:08:00,014 --> 00:08:01,528 "The Clintons were running a pedophile ring. 206 00:08:01,528 --> 00:08:03,045 It's been in the emails all of the time. 207 00:08:03,047 --> 00:08:04,807 We just weren't able to see the code. 208 00:08:05,021 --> 00:08:07,420 - Yeah, I don't agree with that. - You don't agree with that? 209 00:08:07,456 --> 00:08:09,656 I definitely don't think the Clintons are personally 210 00:08:09,658 --> 00:08:10,858 running a pedophilia ring. 211 00:08:10,893 --> 00:08:13,293 - So, why did you write it? - That was worded imprecisely. 212 00:08:13,329 --> 00:08:14,629 - It was more that they... - Why did you write it then? 213 00:08:14,663 --> 00:08:17,464 Well, Anthony Weiner is a pedophile and they're connected with him. 214 00:08:17,500 --> 00:08:18,632 Bill Clinton officiated his wedding. 215 00:08:18,668 --> 00:08:21,567 So, why did you say this if you know that it's not true? 216 00:08:21,603 --> 00:08:22,769 Well, it's not that it's not true, 217 00:08:22,805 --> 00:08:24,170 it's that it's worded improperly. 218 00:08:24,206 --> 00:08:26,673 - So, now you take this back? - I would reword things 219 00:08:26,709 --> 00:08:28,341 definitely more carefully on Twitter. 220 00:08:28,377 --> 00:08:30,276 You pretty aggressively tweeted this. 221 00:08:30,312 --> 00:08:31,372 You tweeted the idea that they were 222 00:08:31,374 --> 00:08:33,573 very heavily involved in a pedophilia ring. 223 00:08:33,581 --> 00:08:36,549 You also hash-tagged "Pizzagate" very aggressively, 224 00:08:36,585 --> 00:08:39,019 which led to the shooting 225 00:08:39,054 --> 00:08:41,922 - _ - in a Comet pizza restaurant in D.C. 226 00:08:41,956 --> 00:08:44,124 Exclusive tonight on the conspiracy theory 227 00:08:44,159 --> 00:08:46,293 that came to be known as "Pizzagate." 228 00:08:46,327 --> 00:08:48,095 An armed gunman stormed a pizza place 229 00:08:48,129 --> 00:08:50,029 in Washington, D.C., known as Comet Ping Pong. 230 00:08:50,066 --> 00:08:51,932 Police say Welch drove six hours 231 00:08:51,966 --> 00:08:53,667 from Salisbury, North Carolina, 232 00:08:53,701 --> 00:08:55,134 to self-investigate a conspiracy 233 00:08:55,169 --> 00:08:57,003 known online as "Pizzagate." 234 00:08:57,038 --> 00:08:59,138 Do you understand, or if you acknowledge, 235 00:08:59,173 --> 00:09:02,174 the dangers which are involved in spreading 236 00:09:02,176 --> 00:09:03,176 this sort of false information? 237 00:09:03,181 --> 00:09:05,277 Well, people spun that whole pizza thing out of... 238 00:09:05,312 --> 00:09:07,346 completely away from what I was talking about. 239 00:09:07,380 --> 00:09:08,847 But can you understand the connection between the two? 240 00:09:08,883 --> 00:09:10,679 I definitely believe the Clintons 241 00:09:10,681 --> 00:09:11,783 are connected with pedophiles and pedophilia, 242 00:09:11,820 --> 00:09:13,421 - the pedophiles in Saudi... - Can you make the connection? 243 00:09:13,422 --> 00:09:16,054 Do you understand that one is connected to the other, 244 00:09:16,091 --> 00:09:17,889 and that you tweeting about Pizzagate 245 00:09:17,926 --> 00:09:20,392 and you tweeting about the Clintons being involved in a pedophilia ring 246 00:09:20,427 --> 00:09:22,661 led to this shooting in broad daylight 247 00:09:22,697 --> 00:09:24,197 in a pizza restaurant in D.C.? 248 00:09:24,231 --> 00:09:25,684 No, because I'm not connected 249 00:09:25,686 --> 00:09:27,442 to what other people are saying on the Internet. 250 00:09:27,467 --> 00:09:29,701 - On an given day on the Internet... - So you absolve 251 00:09:29,736 --> 00:09:32,302 all responsibility when it goes out onto the Internet? 252 00:09:32,338 --> 00:09:34,972 I'm responsible for what I talk about and what I say. 253 00:09:35,008 --> 00:09:37,542 I'm not responsible for what other people talk about. 254 00:09:37,576 --> 00:09:39,677 You think you're one of the best journalists in the country? 255 00:09:39,712 --> 00:09:41,479 In Amer... Oh, for sure. Yeah, for sure, 256 00:09:41,514 --> 00:09:44,448 but the people who are gonna watch this on "VICE," 257 00:09:44,484 --> 00:09:47,619 or on HBO, are not my people. 258 00:09:47,653 --> 00:09:50,187 So you guys could create this, like, caricature 259 00:09:50,224 --> 00:09:51,722 of a madman and a monster, 260 00:09:51,759 --> 00:09:53,355 and maybe two or three people 261 00:09:53,355 --> 00:09:55,025 who follow me on Twitter will, like, even watch it. 262 00:09:55,062 --> 00:09:57,528 So we live, now, in like parallel structures. 263 00:09:57,563 --> 00:09:59,965 Right now there's no shared set of facts in the country. 264 00:10:00,000 --> 00:10:02,134 We wanted to know how polarizing 265 00:10:02,168 --> 00:10:04,434 America's media landscape has become. 266 00:10:04,471 --> 00:10:06,504 So, we visited MIT's Media Lab, 267 00:10:06,538 --> 00:10:08,339 where Eugene Yi and his team 268 00:10:08,375 --> 00:10:10,341 analyzed millions of political tweets 269 00:10:10,376 --> 00:10:12,710 throughout the 2016 presidential campaigns. 270 00:10:12,745 --> 00:10:14,645 So, what are we actually seeing from this graph? 271 00:10:14,681 --> 00:10:17,282 These are people on Twitter who are following each other. 272 00:10:17,317 --> 00:10:19,850 The red indicates the Trump supporters, 273 00:10:19,885 --> 00:10:21,786 the blue, the Clinton supporters, 274 00:10:21,821 --> 00:10:24,154 and then the green, Sanders supporters. 275 00:10:24,190 --> 00:10:27,692 Each tiny dot represents a user tweeting about politics, 276 00:10:27,726 --> 00:10:30,995 with the fine lines showing shared Twitter connections between them, 277 00:10:31,029 --> 00:10:33,864 clustering them into tribal networks. 278 00:10:33,899 --> 00:10:35,832 There's very few connections, as you see. 279 00:10:35,868 --> 00:10:37,201 It's very sparse. 280 00:10:37,235 --> 00:10:39,669 Trump supporters are connected 281 00:10:39,705 --> 00:10:41,172 and very tightly clustered 282 00:10:41,206 --> 00:10:43,274 into their own information world. 283 00:10:43,308 --> 00:10:45,875 Secondly, if you look at the pattern 284 00:10:45,912 --> 00:10:48,412 of how these Trump supporters use Twitter, 285 00:10:48,447 --> 00:10:51,148 they actually tweet four times more 286 00:10:51,183 --> 00:10:53,017 than the average Clinton supporter. 287 00:10:53,052 --> 00:10:57,687 So, did it not come as much of a surprise to you that Trump won, 288 00:10:57,722 --> 00:10:59,456 with all this passion behind him here? 289 00:10:59,490 --> 00:11:01,725 Well, more than the passion, I think. 290 00:11:01,759 --> 00:11:05,394 Seeing where the journalists are located in this network 291 00:11:05,431 --> 00:11:10,099 was way more indicative of some kind of missing feedback loop. 292 00:11:11,370 --> 00:11:13,336 What you see here blinking in blue 293 00:11:13,371 --> 00:11:15,605 are the verified journalists, 294 00:11:15,640 --> 00:11:19,075 and the yellow represent unverified journalists. 295 00:11:19,110 --> 00:11:21,792 So, both the verified and the unverified journalists 296 00:11:21,793 --> 00:11:23,722 are all the way over here. There's no journalists 297 00:11:23,724 --> 00:11:25,349 connecting to the Trump supporters at all. 298 00:11:25,384 --> 00:11:27,451 Yeah, isn't that... isn't that very interesting? 299 00:11:27,485 --> 00:11:29,885 So, I mean, Trump has a real point when he says 300 00:11:29,921 --> 00:11:31,687 we're not listening to the people who really matter 301 00:11:31,724 --> 00:11:35,392 because these people's views are not being represented. 302 00:11:35,427 --> 00:11:38,327 At least on Twitter, we see that there is 303 00:11:38,364 --> 00:11:40,629 a separation of where the journalists, 304 00:11:40,665 --> 00:11:42,431 and who the journalists are following, 305 00:11:42,466 --> 00:11:44,033 and no one is really listening 306 00:11:44,068 --> 00:11:47,236 or plugged into, uh, this Trump-supporter graph. 307 00:11:47,272 --> 00:11:50,572 This suggests that we are missing, fundamentally in society, 308 00:11:50,607 --> 00:11:53,775 some of the voices that led to, um, 309 00:11:53,811 --> 00:11:55,443 you know, Trump's success. 310 00:11:55,480 --> 00:11:57,179 These voices included many 311 00:11:57,215 --> 00:11:59,982 formerly fringe bloggers and alt-right personalities 312 00:12:00,018 --> 00:12:01,750 who saw a golden opportunity 313 00:12:01,785 --> 00:12:03,753 to speak directly to Trump supporters 314 00:12:03,788 --> 00:12:05,721 and create a mass movement online 315 00:12:05,756 --> 00:12:07,623 to elect him as president. 316 00:12:07,658 --> 00:12:09,325 All of these false attacks 317 00:12:09,360 --> 00:12:12,327 are absolutely beneficial. We're only bigger. 318 00:12:12,364 --> 00:12:14,529 Social media feeds across the country 319 00:12:14,565 --> 00:12:16,831 were flooded with their pro-Trump messaging, 320 00:12:16,866 --> 00:12:19,033 along with highly-targeted adverts 321 00:12:19,068 --> 00:12:21,269 fueled by mass amounts of personal information 322 00:12:21,304 --> 00:12:22,904 mined from the Internet. 323 00:12:22,940 --> 00:12:24,438 In the case of the Trump campaign, 324 00:12:24,474 --> 00:12:26,140 the controversial data-targeting company, 325 00:12:26,176 --> 00:12:27,642 Cambridge Analytica, 326 00:12:27,677 --> 00:12:28,876 claimed to have been integral 327 00:12:28,913 --> 00:12:29,977 to Trump's victory, 328 00:12:30,014 --> 00:12:32,346 reportedly using an analytics technique 329 00:12:32,383 --> 00:12:33,948 called psychometrics. 330 00:12:33,984 --> 00:12:36,650 We were able to use data to identify 331 00:12:36,686 --> 00:12:38,720 that there was very large quantities 332 00:12:38,754 --> 00:12:40,154 of persuadable voters there 333 00:12:40,190 --> 00:12:42,290 that could be influenced 334 00:12:42,326 --> 00:12:44,625 to vote for the Trump campaign. 335 00:12:44,661 --> 00:12:46,193 Psychologist Michal Kosinski 336 00:12:46,230 --> 00:12:48,830 is not affiliated with Cambridge Analytica, 337 00:12:48,865 --> 00:12:51,832 but he is an expert in the field of psychometrics. 338 00:12:51,868 --> 00:12:54,668 Psychometrics aims at measuring 339 00:12:54,703 --> 00:12:56,403 psychological traits. 340 00:12:56,440 --> 00:12:58,239 A computer model, just by looking 341 00:12:58,274 --> 00:13:01,075 at the books you're reading, movies that you're watching, 342 00:13:01,110 --> 00:13:04,144 or websites that you're visiting, 343 00:13:04,179 --> 00:13:06,914 would be able to infer your political views 344 00:13:06,950 --> 00:13:10,851 with an accuracy that is not achievable to human judges. 345 00:13:10,886 --> 00:13:12,219 Do you think that people realized, at the time, 346 00:13:12,254 --> 00:13:15,722 that their own digital footprint, and that this big data was being used 347 00:13:15,759 --> 00:13:19,326 to actually target them with personalized adverts? 348 00:13:19,361 --> 00:13:21,796 I think that people do not realize 349 00:13:21,831 --> 00:13:25,832 how much an algorithm can know about them. 350 00:13:25,868 --> 00:13:28,034 The same algorithm can also be used 351 00:13:28,071 --> 00:13:31,705 to reveal your intimate traits without your knowledge 352 00:13:31,740 --> 00:13:34,575 and without your consent, which clearly 353 00:13:34,610 --> 00:13:37,077 creates huge risks for the individuals 354 00:13:37,113 --> 00:13:39,447 and for the society as a whole. 355 00:13:39,481 --> 00:13:42,048 While Cambridge Analytica has denied any wrongdoing, 356 00:13:42,085 --> 00:13:44,518 a UK regulatory authority has named them 357 00:13:44,552 --> 00:13:46,753 as part of a widespread investigation 358 00:13:46,788 --> 00:13:48,422 into the use of data analytics 359 00:13:48,457 --> 00:13:50,591 for political purposes in that country. 360 00:13:50,625 --> 00:13:52,826 Is there any proof at all of the effectiveness 361 00:13:52,861 --> 00:13:55,028 of psychometrics in the most recent election? 362 00:13:55,063 --> 00:13:56,763 One of the pieces of evidence 363 00:13:56,798 --> 00:13:59,764 is to look at the amount of money that has been spent on it. 364 00:13:59,801 --> 00:14:03,602 Politicians, very much like companies, are rational beings 365 00:14:03,638 --> 00:14:06,572 and they won't throw money at something that doesn't work. 366 00:14:06,607 --> 00:14:09,208 Cambridge Analytica has since backtracked, 367 00:14:09,244 --> 00:14:12,445 claiming it never used psychometrics for the Trump campaign after all. 368 00:14:12,480 --> 00:14:14,913 But political campaigns around the world 369 00:14:14,948 --> 00:14:18,150 are pumping money into the use of big data for elections. 370 00:14:18,186 --> 00:14:20,220 In fact, one of Trump's top donors, 371 00:14:20,254 --> 00:14:23,023 billionaire computer scientist Robert Mercer, 372 00:14:23,057 --> 00:14:24,456 invested millions of dollars 373 00:14:24,493 --> 00:14:25,957 into Cambridge Analytica. 374 00:14:25,994 --> 00:14:29,028 Mercer did not respond to our requests for an interview, 375 00:14:29,063 --> 00:14:30,763 But we spoke with David Magerman. 376 00:14:30,798 --> 00:14:32,663 He was a key architect of Mercer's 377 00:14:32,698 --> 00:14:34,599 billion-dollar hedge fund algorithms 378 00:14:34,634 --> 00:14:35,700 for nearly 20 years. 379 00:14:35,735 --> 00:14:38,602 Cambridge Analytica themselves have denied that they've 380 00:14:38,639 --> 00:14:41,005 really had much impact at all on the elections. 381 00:14:41,042 --> 00:14:42,706 Do you think that that could be the case? 382 00:14:42,743 --> 00:14:44,275 I don't believe that's possible. 383 00:14:44,311 --> 00:14:47,678 Bob Mercer is a lot of things. One thing he is, is brilliant. 384 00:14:47,713 --> 00:14:49,864 If he invested the kind of money 385 00:14:49,865 --> 00:14:51,350 that he invested in Cambridge Analytica, 386 00:14:51,384 --> 00:14:54,253 and if he asked candidates that he wanted to win 387 00:14:54,288 --> 00:14:55,854 to use Cambridge Analytica, 388 00:14:55,889 --> 00:14:57,655 he's doing it because he knows it works. 389 00:14:57,691 --> 00:15:00,725 Magerman is suing Mercer for wrongful termination, 390 00:15:00,760 --> 00:15:02,961 claiming he was fired for speaking to the press 391 00:15:02,995 --> 00:15:05,364 about Mercer's involvement with the Trump campaign. 392 00:15:05,399 --> 00:15:07,097 Mercer's attorney has described 393 00:15:07,133 --> 00:15:09,600 Magerman's allegations as meritless. 394 00:15:09,635 --> 00:15:12,003 Wealthy people and businessmen have always given 395 00:15:12,038 --> 00:15:15,105 sizable donations to politicians and to political campaigns. 396 00:15:15,140 --> 00:15:18,109 What's so different about what Robert Mercer's done? 397 00:15:18,144 --> 00:15:20,211 I think that there's a new wave 398 00:15:20,245 --> 00:15:22,547 of political donors 399 00:15:22,582 --> 00:15:25,349 that are buying overwhelming influence 400 00:15:25,384 --> 00:15:30,087 over the views of the people who they're supporting. 401 00:15:30,123 --> 00:15:31,822 One of Mercer's key collaborators 402 00:15:31,857 --> 00:15:32,856 in obtaining that influence 403 00:15:32,893 --> 00:15:35,059 has been Trump's former chief strategist, 404 00:15:35,095 --> 00:15:37,461 and executive chairman of Breitbart News, 405 00:15:37,496 --> 00:15:39,230 Steve Bannon. 406 00:15:39,264 --> 00:15:40,293 Bannon also formerly served 407 00:15:40,294 --> 00:15:42,495 as the vice president of Cambridge Analytica. 408 00:15:42,802 --> 00:15:45,302 And Mercer pumped millions into Breitbart News, 409 00:15:45,337 --> 00:15:46,870 which was used as a strategic 410 00:15:46,905 --> 00:15:48,871 pro-Trump tool during the election. 411 00:15:48,908 --> 00:15:51,875 Bob Mercer saw, before most people, 412 00:15:51,911 --> 00:15:55,178 the impact that non-mainstream media could have 413 00:15:55,215 --> 00:15:56,647 on manipulating voters 414 00:15:56,682 --> 00:15:59,450 and on getting people to believe what he wanted them to believe. 415 00:15:59,485 --> 00:16:01,051 And when the mainstream media 416 00:16:01,086 --> 00:16:02,986 began reporting on false information 417 00:16:03,022 --> 00:16:05,722 spread by these new alternative outlets, 418 00:16:05,758 --> 00:16:08,392 a war over facts arose between the two sides. 419 00:16:08,427 --> 00:16:10,094 Look, alternative facts are not facts. 420 00:16:10,129 --> 00:16:11,562 They're falsehoods. 421 00:16:11,597 --> 00:16:14,798 This has been fueled by the president's personal crusade 422 00:16:14,833 --> 00:16:16,765 against the traditional press. 423 00:16:16,801 --> 00:16:18,668 Media outlets 424 00:16:18,702 --> 00:16:21,337 like CNN and MSNBC 425 00:16:21,373 --> 00:16:23,139 are fake news. 426 00:16:23,174 --> 00:16:25,008 We now live in a world where any facts 427 00:16:25,043 --> 00:16:27,244 you disagree with can be labeled "fake," 428 00:16:27,278 --> 00:16:30,779 leading to a record low of only 32% of the population 429 00:16:30,815 --> 00:16:32,914 now actually trusting the press. 430 00:16:32,951 --> 00:16:34,650 No, not you. Not you. 431 00:16:34,686 --> 00:16:37,153 - Your organization is terrible. - You are attacking our news organization. 432 00:16:37,188 --> 00:16:39,489 Your organization is terrible. Let's go. 433 00:16:39,524 --> 00:16:40,889 One of Trump's favorite targets 434 00:16:40,924 --> 00:16:43,460 in his war on mainstream media is CNN 435 00:16:43,495 --> 00:16:46,327 and their senior White House correspondent, Jim Acosta. 436 00:16:46,364 --> 00:16:48,364 Aren't you concerned, sir, that you are undermining 437 00:16:48,399 --> 00:16:52,000 the people's faith in the First Amendment, Freedom of the Press, 438 00:16:52,036 --> 00:16:54,669 when you call stories you don't like "fake news"? 439 00:16:54,705 --> 00:16:57,905 The public doesn't believe you people anymore. 440 00:16:57,941 --> 00:17:00,142 Now, maybe I had something to do with that. I don't know. 441 00:17:00,177 --> 00:17:03,345 We spoke to Acosta about reporting on the White House 442 00:17:03,380 --> 00:17:05,047 in the fake news era. 443 00:17:05,082 --> 00:17:06,981 Do you feel like this term, "fake news," has been 444 00:17:07,017 --> 00:17:09,084 hijacked by the administration? Has been jumped on? 445 00:17:09,118 --> 00:17:11,554 It's being exploited, no question about it. 446 00:17:11,588 --> 00:17:14,155 They want to damage the credibility 447 00:17:14,192 --> 00:17:16,592 of news organizations that are reporting 448 00:17:16,626 --> 00:17:18,160 factual information 449 00:17:18,195 --> 00:17:21,061 about things that are going on here at this White House. 450 00:17:21,096 --> 00:17:22,829 And when he calls us fake news, 451 00:17:22,865 --> 00:17:24,464 okay, let's... let's examine that. 452 00:17:24,500 --> 00:17:25,792 I'm not the one who said 453 00:17:25,794 --> 00:17:28,368 that Barack Obama wasn't born in the United States. 454 00:17:29,372 --> 00:17:30,672 That was fake news. 455 00:17:30,707 --> 00:17:32,839 The President of the United States did not have a larger 456 00:17:32,875 --> 00:17:36,109 inauguration crowd size than Barack Obama. 457 00:17:36,144 --> 00:17:37,978 President Trump said that Barack Obama 458 00:17:38,013 --> 00:17:39,880 was wiretapping him at Trump Tower. 459 00:17:39,915 --> 00:17:41,382 That's fake news. 460 00:17:41,417 --> 00:17:45,152 We're reporting on a president who... 461 00:17:45,188 --> 00:17:46,587 has engaged, time and again, 462 00:17:46,623 --> 00:17:48,690 in his own version of fake news. 463 00:17:48,724 --> 00:17:49,868 Why is it, do you think, 464 00:17:49,869 --> 00:17:51,192 that the American public is so divided right now 465 00:17:51,228 --> 00:17:53,760 and that there is so much trust in what the president says? 466 00:17:53,796 --> 00:17:56,529 You know, I think that bitter partisanship 467 00:17:56,565 --> 00:17:59,633 is always going to exist in the United States. 468 00:17:59,667 --> 00:18:01,836 The extreme left and right 469 00:18:01,871 --> 00:18:04,003 squaring off in bloody demonstrations 470 00:18:04,039 --> 00:18:06,405 in recent weeks. 471 00:18:06,442 --> 00:18:09,175 These people, Antifa, are Neo-communists 472 00:18:09,211 --> 00:18:11,310 and they need to be rejected by the Democratic party, 473 00:18:11,346 --> 00:18:13,713 just like Republicans have rejected the Neo-Nazis. 474 00:18:16,285 --> 00:18:18,352 The idea that a president of the United States 475 00:18:18,386 --> 00:18:19,619 cannot unambiguously 476 00:18:19,654 --> 00:18:22,722 denounce Nazism... is extraordinary. 477 00:18:22,759 --> 00:18:24,391 It's time to expose 478 00:18:24,425 --> 00:18:26,425 the crooked media deceptions, 479 00:18:26,461 --> 00:18:29,162 and to challenge the media 480 00:18:29,196 --> 00:18:32,499 for their role in fomenting divisions. 481 00:18:32,534 --> 00:18:34,901 The danger becomes 482 00:18:34,935 --> 00:18:37,537 when you have somebody 483 00:18:37,573 --> 00:18:38,971 in the Oval Office 484 00:18:39,007 --> 00:18:42,308 who is fomenting an atmosphere of division. 485 00:18:42,344 --> 00:18:44,911 What's at stake is... 486 00:18:44,945 --> 00:18:47,846 we get to a point in this country where... 487 00:18:47,883 --> 00:18:51,684 half of the country only believes something because the president says 488 00:18:51,720 --> 00:18:52,986 that's what the truth is. 489 00:18:53,020 --> 00:18:56,256 Um, the president doesn't get to decide what the truth is. 490 00:18:58,693 --> 00:19:01,661 In season three, we covered the search for new drugs 491 00:19:01,695 --> 00:19:03,862 to combat powerful and sometimes incurable 492 00:19:03,897 --> 00:19:06,999 bacterial infections known as superbugs. 493 00:19:07,034 --> 00:19:09,268 We then followed up that story with our report 494 00:19:09,304 --> 00:19:11,036 on the use of fecal transplants, 495 00:19:11,070 --> 00:19:13,172 or injecting beneficial bacteria 496 00:19:13,207 --> 00:19:15,674 from one person's gastric system into another's, 497 00:19:15,710 --> 00:19:17,576 to actually treat these superbugs. 498 00:19:17,612 --> 00:19:19,978 Who would have ever thought this was, like, the cure? 499 00:19:20,013 --> 00:19:23,214 You just put other people's poop in you, and it works. 500 00:19:23,250 --> 00:19:24,416 Right. 501 00:19:24,451 --> 00:19:26,451 As this previously-untapped scientific field 502 00:19:26,487 --> 00:19:27,720 continues to evolve, 503 00:19:27,755 --> 00:19:29,821 the possibilities for human health 504 00:19:29,856 --> 00:19:31,523 could be limitless. 505 00:19:31,558 --> 00:19:34,659 So we sent Thomas Morton to investigate the next steps 506 00:19:34,694 --> 00:19:36,827 in this emerging field of medicine. 507 00:19:51,076 --> 00:19:52,544 The lady I'm very carefully 508 00:19:52,578 --> 00:19:54,211 trying not to infect with anything 509 00:19:54,247 --> 00:19:56,647 has an aggressive form of bone marrow cancer. 510 00:19:56,682 --> 00:19:58,482 Her doctors have put her in sterile isolation 511 00:19:58,518 --> 00:19:59,817 following a massive dose of chemo 512 00:19:59,853 --> 00:20:03,153 which has left her immune system practically nonexistent. 513 00:20:03,189 --> 00:20:05,021 That chart up there, they'll start writing down 514 00:20:05,057 --> 00:20:07,124 my red and white blood cells, my platelets, 515 00:20:07,160 --> 00:20:08,759 and they'll keep track of it every day. 516 00:20:08,794 --> 00:20:11,662 Today is zero, and then tomorrow will be, you know, plus one. 517 00:20:11,696 --> 00:20:13,029 Okay. 518 00:20:13,066 --> 00:20:14,530 To replenish her white blood cell count, 519 00:20:14,567 --> 00:20:17,500 Anne's about to receive a routine stem cell transplant, 520 00:20:17,536 --> 00:20:18,869 but to get her gut back in working order, 521 00:20:18,904 --> 00:20:21,771 she'll have to undergo a slightly less routine procedure. 522 00:20:21,807 --> 00:20:23,941 The chemotherapy, like, wipes out everything, 523 00:20:23,977 --> 00:20:26,042 and not only does it wipe out your blood cells, 524 00:20:26,078 --> 00:20:27,411 but everything in your GI tract. 525 00:20:27,445 --> 00:20:30,780 All this natural flora that's growing there that protects you 526 00:20:30,816 --> 00:20:32,583 and has things moving along, 527 00:20:32,617 --> 00:20:34,919 is all wiped out as well. 528 00:20:34,953 --> 00:20:38,221 - When did you submit your stool sample? - A couple of weeks ago. 529 00:20:38,258 --> 00:20:40,557 - It's not fun, right? - No. 530 00:20:40,593 --> 00:20:43,094 Especially, you know, 'cause I took the train in from Long Island, 531 00:20:43,128 --> 00:20:44,528 so, I have my bag of poop 532 00:20:44,563 --> 00:20:46,101 and there's just enough room for me 533 00:20:46,102 --> 00:20:47,230 to squeeze in and get my bag of poop, 534 00:20:47,266 --> 00:20:50,000 like, right up in everybody's faces. 535 00:20:50,035 --> 00:20:52,201 So, you're banking your own bacteria? 536 00:20:52,237 --> 00:20:54,069 And then once I have the red blood cells 537 00:20:54,105 --> 00:20:55,971 and white blood cells building back up again, 538 00:20:56,008 --> 00:20:58,709 then they would, like, re-inject them into me 539 00:20:58,743 --> 00:21:00,911 - with, like, an enema. - Okay, yeah. 540 00:21:04,249 --> 00:21:05,868 Dr. Ying Taur and his team 541 00:21:05,869 --> 00:21:07,049 have found that a fecal transplant 542 00:21:07,085 --> 00:21:09,653 can increase the odds of survival by restoring the diversity 543 00:21:09,688 --> 00:21:12,055 of gut bacteria lost during chemo. 544 00:21:12,089 --> 00:21:14,458 Is there a direct relationship between the diversity 545 00:21:14,492 --> 00:21:17,126 of flora in the gut and immune health? 546 00:21:17,162 --> 00:21:18,693 In terms of the microbiome, 547 00:21:18,730 --> 00:21:20,363 if you look at a transplant patient's 548 00:21:20,398 --> 00:21:22,865 diversity during their treatment, 549 00:21:22,901 --> 00:21:25,134 if you had a low diversity, 550 00:21:25,170 --> 00:21:28,038 then you were over five times more likely 551 00:21:28,073 --> 00:21:30,673 to die of transplant-related causes, 552 00:21:30,708 --> 00:21:33,608 compared to if you had a nice diversity 553 00:21:33,644 --> 00:21:36,378 of healthy, health-promoting bacteria 554 00:21:36,414 --> 00:21:37,247 in your gut. 555 00:21:37,281 --> 00:21:40,049 There's this amazing set of creatures 556 00:21:40,085 --> 00:21:43,185 living in all of us, working 24/7, 557 00:21:43,221 --> 00:21:44,586 for mutual benefit. 558 00:21:44,622 --> 00:21:47,557 And we're seeing links everywhere. 559 00:21:47,592 --> 00:21:50,226 We're seeing links to prevention of infection, 560 00:21:50,261 --> 00:21:51,927 to allergies, 561 00:21:51,962 --> 00:21:53,462 autoimmune disorders, 562 00:21:53,498 --> 00:21:56,332 mood, autism, depression. 563 00:21:56,366 --> 00:21:58,601 All these creatures working inside us 564 00:21:58,635 --> 00:22:01,604 are what scientists refer to as the human microbiome. 565 00:22:01,638 --> 00:22:02,971 Now, this has opened 566 00:22:03,007 --> 00:22:04,840 a whole new dimension in medicine. 567 00:22:04,875 --> 00:22:07,241 You know, it's not science fiction anymore, as you can see, 568 00:22:07,278 --> 00:22:08,410 it's out on the frontlines. 569 00:22:08,445 --> 00:22:10,680 I don't... I don't recall any fecal transplants 570 00:22:10,714 --> 00:22:14,750 in the science fiction I read or saw. 571 00:22:14,786 --> 00:22:16,952 Since the 19th century, germ theory has been 572 00:22:16,988 --> 00:22:18,887 the dominant model of medical thinking. 573 00:22:18,923 --> 00:22:21,289 It holds that microorganisms like bacteria and viruses 574 00:22:21,325 --> 00:22:24,558 are responsible for infecting our bodies and causing disease. 575 00:22:24,595 --> 00:22:26,461 Therefore, the best way to avoid disease 576 00:22:26,497 --> 00:22:29,097 is to cleanse our body and its surroundings of germs. 577 00:22:29,133 --> 00:22:31,665 Unfortunately, this antibacterial dragnet 578 00:22:31,701 --> 00:22:35,003 has not only helped eliminate dangerous pathogens from our environment, 579 00:22:35,038 --> 00:22:37,705 it's also knocked out the good microorganisms that live in us 580 00:22:37,740 --> 00:22:39,773 and are responsible for healthy digestion, 581 00:22:39,809 --> 00:22:42,076 immune reaction, and, as researchers are learning, 582 00:22:42,113 --> 00:22:44,645 an ever-widening number of vital roles. 583 00:22:46,583 --> 00:22:48,349 We've done an awful lot of work 584 00:22:48,385 --> 00:22:50,118 looking at how the built environment 585 00:22:50,153 --> 00:22:51,487 that we've constructed around ourselves 586 00:22:51,521 --> 00:22:54,923 affects how our microbes develop in our microbiome. 587 00:22:54,958 --> 00:22:57,625 Dr. Jack Gilbert is the head of microbiome research 588 00:22:57,661 --> 00:22:58,859 at Argonne National Labs. 589 00:22:58,895 --> 00:23:01,929 He has found that living in areas with high microbial diversity 590 00:23:01,963 --> 00:23:05,232 significantly reduces the occurrence of asthma and other diseases. 591 00:23:05,268 --> 00:23:08,669 We've got places like Amish communities here in America, 592 00:23:08,703 --> 00:23:10,938 whereby the children are exposed to animals 593 00:23:10,972 --> 00:23:13,273 and dust and dirt environments 594 00:23:13,308 --> 00:23:15,910 that their ancestors were exposed to on a regular basis. 595 00:23:15,944 --> 00:23:18,578 And those children have very low levels of asthma, 596 00:23:18,614 --> 00:23:20,780 very low levels of atopy, 597 00:23:20,816 --> 00:23:22,517 so, you know, allergic disease, 598 00:23:22,551 --> 00:23:24,251 and even lower levels of autism. 599 00:23:24,287 --> 00:23:25,853 If we go into the developing world, 600 00:23:25,887 --> 00:23:29,057 those children have many, many, many more 601 00:23:29,092 --> 00:23:30,723 microbial exposures. 602 00:23:30,759 --> 00:23:33,527 But there's a cost-benefit analysis there, 603 00:23:33,561 --> 00:23:35,761 that they also have much higher levels 604 00:23:35,797 --> 00:23:36,895 of infant mortality. 605 00:23:36,932 --> 00:23:39,865 Because their access to medical prevention 606 00:23:39,901 --> 00:23:42,035 for diseases and other complications 607 00:23:42,070 --> 00:23:43,302 is much more limited. 608 00:23:43,337 --> 00:23:45,372 Would the best of both worlds be to, you know, 609 00:23:45,406 --> 00:23:47,874 grow up somewhere with the medicine available to you, 610 00:23:47,909 --> 00:23:50,009 to you know, not die when you're sick, obviously, 611 00:23:50,045 --> 00:23:53,980 but, um, nevertheless be exposed to much more bacteria than we are, 612 00:23:54,015 --> 00:23:56,249 or much more microorganisms? 613 00:23:56,285 --> 00:23:58,651 Absolutely, I mean, we've shifted too far away 614 00:23:58,686 --> 00:24:00,953 from the environments which supported our health, 615 00:24:00,989 --> 00:24:02,689 and now we need to move backwards a little bit. 616 00:24:02,723 --> 00:24:04,691 This is why it's so important to go to Africa, 617 00:24:04,726 --> 00:24:06,326 and study populations of people 618 00:24:06,361 --> 00:24:08,994 which we wouldn't normally have access to in this community. 619 00:24:14,335 --> 00:24:16,001 So, we did. We came to Africa. 620 00:24:16,037 --> 00:24:19,071 We're in the Central African Republic right now 621 00:24:19,106 --> 00:24:20,807 in a town called Bayanga, 622 00:24:20,842 --> 00:24:22,474 smack in the heart of Africa. 623 00:24:22,509 --> 00:24:24,876 We're following Dr. Andres Gomez, 624 00:24:24,913 --> 00:24:28,180 who is a microbiome researcher. 625 00:24:28,215 --> 00:24:29,982 When we talk about Westerners, 626 00:24:30,018 --> 00:24:32,484 with our industrialized microbiomes, 627 00:24:32,519 --> 00:24:34,319 we lack diversity. 628 00:24:34,355 --> 00:24:37,256 To learn what's missing from the industrialized microbiome, 629 00:24:37,290 --> 00:24:39,491 researchers like Dr. Gomez have turned to the planet's 630 00:24:39,527 --> 00:24:41,527 few remaining pre-industrial societies, 631 00:24:41,561 --> 00:24:44,229 to see what their guts have that our guts don't. 632 00:24:44,263 --> 00:24:46,364 Dr. Gomez hit fecal pay dirt while looking at 633 00:24:46,398 --> 00:24:48,933 the microbiome's Mountain Gorillas in Central Africa. 634 00:24:48,969 --> 00:24:51,103 He realized that the stool samples he was taking from them 635 00:24:51,137 --> 00:24:52,871 bore an uncanny resemblance to samples taken 636 00:24:52,905 --> 00:24:55,272 from the people living in the surrounding forest, 637 00:24:55,307 --> 00:24:56,842 called the BaAka. 638 00:24:56,876 --> 00:24:58,644 I collected the samples, 639 00:24:58,679 --> 00:25:00,645 sequenced their microbiomes, and that's where I discovered 640 00:25:00,681 --> 00:25:03,280 this was something... this was something important here. 641 00:25:03,316 --> 00:25:05,583 The BaAka are traditional hunter-gatherers 642 00:25:05,618 --> 00:25:08,286 who live in the Dzanga-Sangha forest preserve. 643 00:25:08,320 --> 00:25:10,255 Their lifestyle is not only pre-industrial, 644 00:25:10,289 --> 00:25:12,057 but pre-agricultural. 645 00:25:12,092 --> 00:25:13,892 The fact that the BaAka's microbial diversity 646 00:25:13,926 --> 00:25:16,359 is closer to gorillas than industrialized people, 647 00:25:16,394 --> 00:25:18,228 suggests that their environment and lifestyle 648 00:25:18,263 --> 00:25:20,329 have an enormous effect on their microbiomes. 649 00:25:20,365 --> 00:25:22,365 So, we hiked for two hours into the jungle 650 00:25:22,401 --> 00:25:24,801 to see what both these things look like. 651 00:25:27,205 --> 00:25:30,141 This is it. So, these are all their huts. 652 00:25:31,978 --> 00:25:33,832 _ 653 00:25:33,913 --> 00:25:36,681 Everybody is now mobilizing to go hunting. 654 00:25:36,682 --> 00:25:39,970 _ 655 00:25:42,171 --> 00:25:45,800 _ 656 00:25:45,825 --> 00:25:47,825 He's telling the animals to come into his net. 657 00:25:49,126 --> 00:25:51,795 The BaAka hunt by stringing up nets in a large circle... 658 00:25:53,365 --> 00:25:56,031 then flushing out animals from the encircled forest into said nets. 659 00:25:57,802 --> 00:26:00,103 Which isn't always as cut and dry as it sounds. 660 00:26:02,674 --> 00:26:05,608 That's, I guess, the fourth animal that's gotten through a net. 661 00:26:07,112 --> 00:26:09,778 Yeah, today's really a gather day, for sure. 662 00:26:13,685 --> 00:26:16,452 Part of what Andres is studying, 663 00:26:16,488 --> 00:26:17,653 in terms of the microbiome, 664 00:26:17,690 --> 00:26:19,855 a good deal of that relates to what we'll be gathering: 665 00:26:19,891 --> 00:26:21,458 the foods that they eat, 666 00:26:21,492 --> 00:26:24,492 and also the bark from trees and stuff they use as medicines. 667 00:26:24,528 --> 00:26:29,598 But the environment itself has a major impact on your microbiome. 668 00:26:29,634 --> 00:26:32,567 So, if you can't climb a tree and collect honey, 669 00:26:32,604 --> 00:26:35,070 you're not man enough to have a wife. 670 00:26:35,106 --> 00:26:36,305 Wow. 671 00:26:36,340 --> 00:26:39,762 _ 672 00:26:41,947 --> 00:26:43,113 Ugh. 673 00:26:43,147 --> 00:26:45,381 Oof. 674 00:26:45,415 --> 00:26:48,384 - Is that shrimp? - Pull it. Keep pulling. 675 00:26:50,587 --> 00:26:52,688 Whoa! I did not expect that to come out. 676 00:26:52,723 --> 00:26:55,258 That's food, right? 677 00:26:55,292 --> 00:26:58,026 The forest not only acts as the BaAka's live-in grocery store, 678 00:26:58,061 --> 00:26:59,493 but also their pharmacy. 679 00:26:59,528 --> 00:27:01,596 The barks and leaves the BaAka use as medicine 680 00:27:01,632 --> 00:27:03,898 may seem primitive to the average CVS shopper, 681 00:27:03,933 --> 00:27:05,134 but unlike modern antibiotics, 682 00:27:05,169 --> 00:27:07,701 which don't always discriminate between good and bad bacteria, 683 00:27:07,738 --> 00:27:10,271 they're a lot easier on the microbiome. 684 00:27:10,307 --> 00:27:12,974 We're gonna scrape this bark. 685 00:27:12,976 --> 00:27:16,532 _ 686 00:27:16,542 --> 00:27:18,012 Oh, you put your breast milk in it 687 00:27:18,048 --> 00:27:21,016 and then you would use that and put it in your ear. 688 00:27:21,050 --> 00:27:23,050 This is a medicine for headaches. 689 00:27:23,086 --> 00:27:24,853 You rub it up in your hands. 690 00:27:26,722 --> 00:27:27,789 Whoa! 691 00:27:28,959 --> 00:27:30,357 Ah. 692 00:27:30,394 --> 00:27:31,926 It burns a little bit. 693 00:27:31,961 --> 00:27:33,595 Yeah, it does. It burns a lot. 694 00:27:33,630 --> 00:27:35,363 - Well, headache gone. - Yeah. 695 00:27:35,398 --> 00:27:38,400 Two foods that Dr. Gomez is particularly interested in, 696 00:27:38,434 --> 00:27:40,968 due to their potential connection to the BaAka's microbiome, 697 00:27:41,003 --> 00:27:42,869 are cocoa leaves and forest yams, 698 00:27:42,905 --> 00:27:46,207 which have a much higher fiber content than their Western counterparts. 699 00:27:46,241 --> 00:27:48,676 This is the thing, if we have the right microbiome, 700 00:27:48,677 --> 00:27:52,980 - Right. - like these people have been adapted to for millennia, 701 00:27:53,016 --> 00:27:56,451 those things are now gonna be detrimental for you. 702 00:27:56,486 --> 00:27:58,185 Like how a cow can eat grass, but we can't. 703 00:27:58,221 --> 00:28:00,454 Like how a cow can eat grass, but we can't, yeah. 704 00:28:00,490 --> 00:28:02,324 The cocoa leaves the BaAka eat by the pile 705 00:28:02,358 --> 00:28:05,026 are likewise ill-suited to our industrialized guts. 706 00:28:05,060 --> 00:28:07,294 What role do these play in the microbiome? 707 00:28:07,329 --> 00:28:09,563 Fermentation. I wouldn't be surprised 708 00:28:09,597 --> 00:28:11,865 if the bloom of specific bacterial groups 709 00:28:11,900 --> 00:28:14,634 is a response to this specific cocoa leaf. 710 00:28:14,670 --> 00:28:15,836 The BaAka's fiber-rich diet 711 00:28:15,871 --> 00:28:18,338 doesn't just make taking stool samples a lot easier, 712 00:28:18,374 --> 00:28:21,741 the breakdown and fermentation of complex foods in their colon 713 00:28:21,777 --> 00:28:24,076 helps populate the lower reaches of the GI tract 714 00:28:24,112 --> 00:28:26,078 with a greater diversity of microbes. 715 00:28:26,114 --> 00:28:27,910 _ 716 00:28:27,911 --> 00:28:32,173 _ 717 00:28:32,173 --> 00:28:36,089 _ 718 00:28:39,327 --> 00:28:42,194 Actually being able to see what the BaAka eat and how they get it, 719 00:28:42,230 --> 00:28:45,397 helps explain some of the findings in Dr. Gomez's research 720 00:28:45,432 --> 00:28:47,432 that lab science alone could not. 721 00:28:47,469 --> 00:28:49,501 This basic anthropological observation, 722 00:28:49,537 --> 00:28:50,836 combined with the fecal samples, 723 00:28:50,873 --> 00:28:52,072 helps paint a complete picture 724 00:28:52,106 --> 00:28:54,574 of the BaAka's microbial health, 725 00:28:54,608 --> 00:28:55,875 which could, in turn, 726 00:28:55,911 --> 00:28:57,911 help us restore or own depleted modern guts 727 00:28:57,945 --> 00:28:59,612 to their original nature. 728 00:28:59,646 --> 00:29:01,480 With every advance 729 00:29:01,516 --> 00:29:04,017 comes a caveat, a sacrifice. 730 00:29:04,051 --> 00:29:07,653 So, we were able to extend our lifespans, 731 00:29:07,689 --> 00:29:09,721 but at the same time, 732 00:29:09,758 --> 00:29:12,125 we have starved our microbiomes, 733 00:29:12,160 --> 00:29:15,227 and depletion of diversity's correlated to... 734 00:29:15,262 --> 00:29:16,627 weakened immune systems. 735 00:29:16,663 --> 00:29:18,630 So, that's something we've lost then. 736 00:29:18,664 --> 00:29:20,731 We've lost them, and the real question is, 737 00:29:20,768 --> 00:29:22,634 "Are we able to recover them back?" 738 00:29:22,669 --> 00:29:25,537 I think future generations are gonna be enjoying 739 00:29:25,571 --> 00:29:29,074 the fruits of the things we're doing right now with the microbiome.58179

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