1 00:00:01,960 --> 00:00:04,680 Speaker 1: We're gonna talk about the freak out about a social 2 00:00:04,680 --> 00:00:07,800 Speaker 1: media company, why so big. We're gonna talk to Michael 3 00:00:07,840 --> 00:00:10,799 Speaker 1: Malice tonight, a great light in the mood that's gonna 4 00:00:10,840 --> 00:00:13,720 Speaker 1: put a smou on your face. Guaranteed all that and more, 5 00:00:14,000 --> 00:00:25,400 Speaker 1: and I'm right, welcome to I'm right. Let's talk about 6 00:00:25,440 --> 00:00:36,279 Speaker 1: big tech. Before I get to big tech. Let's do 7 00:00:36,320 --> 00:00:39,400 Speaker 1: a little rewind here. Just just hang with me. This 8 00:00:39,479 --> 00:00:41,560 Speaker 1: applies to big tech. This is what we're talking about. 9 00:00:41,960 --> 00:00:46,720 Speaker 1: We're in this odd period where the sides are kind 10 00:00:46,760 --> 00:00:51,120 Speaker 1: of separating and everybody's choosing their fighter. And if it 11 00:00:51,200 --> 00:00:54,440 Speaker 1: seems like I'm excited about this, I'm not. But also 12 00:00:54,520 --> 00:00:56,440 Speaker 1: I kind of am because it reminds me of a 13 00:00:56,440 --> 00:00:59,360 Speaker 1: period of time and history that I find to be fascinating. 14 00:00:59,760 --> 00:01:01,280 Speaker 1: I'm not going to spend long on this because we 15 00:01:01,320 --> 00:01:04,959 Speaker 1: have we have jensak, we have Elizabeth Warren. There's Sean 16 00:01:05,120 --> 00:01:07,240 Speaker 1: kingtok which is always a good time. But we're going 17 00:01:07,280 --> 00:01:09,800 Speaker 1: to get to all that in a second. But Ancient Rome, 18 00:01:10,920 --> 00:01:13,840 Speaker 1: when Ancient Rome was trying to work out what it 19 00:01:13,920 --> 00:01:15,760 Speaker 1: was going to be because it had been a republic 20 00:01:15,800 --> 00:01:18,480 Speaker 1: for a while, and then I mean not that they 21 00:01:18,600 --> 00:01:22,080 Speaker 1: this will sound familiar to you. It's government got really 22 00:01:22,120 --> 00:01:27,080 Speaker 1: bloated and nakedly corrupt, and they imported a bunch of 23 00:01:27,200 --> 00:01:30,320 Speaker 1: foreign slave labor and crowded out the middle class. None 24 00:01:30,319 --> 00:01:32,160 Speaker 1: of the stunt of this, of course, it's stunning familiar 25 00:01:32,200 --> 00:01:35,399 Speaker 1: to you at all. And the Roman people began to 26 00:01:35,440 --> 00:01:38,440 Speaker 1: get upset, and then the government, the corrupt government, started 27 00:01:38,440 --> 00:01:41,200 Speaker 1: crushing the people. And again, none of this sounds familiar, 28 00:01:41,240 --> 00:01:44,120 Speaker 1: I know, but a fascinating thing happened. And I've always 29 00:01:44,120 --> 00:01:48,440 Speaker 1: thought this was just unreal to me. The heavy politicians 30 00:01:48,440 --> 00:01:51,600 Speaker 1: of the day in Rome, whether they be corrupt or not, 31 00:01:52,120 --> 00:01:55,160 Speaker 1: they began to separate right there. Their sides were separated, 32 00:01:55,760 --> 00:02:00,880 Speaker 1: and they just began to travel around with their own mobs. 33 00:02:01,320 --> 00:02:03,760 Speaker 1: And if they would run into each other randomly in 34 00:02:03,800 --> 00:02:06,280 Speaker 1: the streets, they would just have a big sword fight 35 00:02:06,440 --> 00:02:09,000 Speaker 1: right there in the streets. That's just what society became. 36 00:02:09,040 --> 00:02:11,840 Speaker 1: It just became a well, if Mob A runs into 37 00:02:11,960 --> 00:02:16,639 Speaker 1: Mob B, looks like we're gonna have a fight right 38 00:02:16,680 --> 00:02:20,280 Speaker 1: now those swords involved yet, by the grace of God, 39 00:02:20,560 --> 00:02:22,679 Speaker 1: but it looks like we're gonna have ourselves a fight 40 00:02:22,760 --> 00:02:25,160 Speaker 1: with this whole elon musk thing, and I need to 41 00:02:25,160 --> 00:02:27,320 Speaker 1: recap this again for anyone who happened to miss last 42 00:02:27,400 --> 00:02:31,679 Speaker 1: night's show. The news is all bad for you all 43 00:02:31,720 --> 00:02:33,520 Speaker 1: the time. Right now. I know it is, because it's 44 00:02:33,560 --> 00:02:35,480 Speaker 1: all bad for me. You roll over in the morning 45 00:02:35,440 --> 00:02:37,720 Speaker 1: to wipe the sleep out of your eyes, You pick 46 00:02:37,800 --> 00:02:40,320 Speaker 1: up your phone and you go, oh crap. I know 47 00:02:40,919 --> 00:02:45,480 Speaker 1: me too, me too. So when you get winds, even 48 00:02:45,480 --> 00:02:49,040 Speaker 1: if they're little winds, celebrate the winds. Put a smile 49 00:02:49,080 --> 00:02:52,080 Speaker 1: on your face. What's happening right now with Elon Musk 50 00:02:52,240 --> 00:02:56,160 Speaker 1: taking over Twitter and taking it private, It's a good thing. Remember, 51 00:02:56,960 --> 00:03:01,160 Speaker 1: don't worship the man. He's not your new champion. This 52 00:03:01,280 --> 00:03:03,920 Speaker 1: is a small win. We need about a million more 53 00:03:03,960 --> 00:03:06,679 Speaker 1: of these to finally win this culture war we're in. 54 00:03:06,760 --> 00:03:08,520 Speaker 1: But this is a good thing, right so Elon must 55 00:03:08,520 --> 00:03:11,880 Speaker 1: takes over and immediately he's talking about free speech and 56 00:03:11,919 --> 00:03:16,200 Speaker 1: Twitter's the public square, and the Biden administration was actually 57 00:03:16,240 --> 00:03:18,440 Speaker 1: asked about this, and I found this answer to be 58 00:03:18,560 --> 00:03:25,000 Speaker 1: fascinating and revealing. No matter who owns or runs Twitter, 59 00:03:25,400 --> 00:03:28,080 Speaker 1: the President has long been concerned about the power of 60 00:03:28,160 --> 00:03:31,440 Speaker 1: large social media platforms, what they have, that power they 61 00:03:31,480 --> 00:03:34,040 Speaker 1: have over our everyday lives has long argued that tech 62 00:03:34,080 --> 00:03:37,120 Speaker 1: platforms must be held accountable for the harms they cause. 63 00:03:37,480 --> 00:03:40,560 Speaker 1: He has been a strong supporter of fundamental reforms to 64 00:03:40,600 --> 00:03:44,000 Speaker 1: achieve that goal, including reforms to Section to thirty, enacting 65 00:03:44,040 --> 00:03:47,960 Speaker 1: anti trust reforms, requiring more transparency and more. And he's 66 00:03:48,040 --> 00:03:55,320 Speaker 1: encouraged that there's bipartisan interest in Congress. Okay, what's going 67 00:03:55,360 --> 00:03:58,520 Speaker 1: on there? Well, pause for a moment. Let's go ahead 68 00:03:58,520 --> 00:04:03,480 Speaker 1: and rewind before the whole Elon Musk Twitter thing, Joe Biden, 69 00:04:03,840 --> 00:04:08,200 Speaker 1: Jen Sak, lots of Democrats actually were out there a 70 00:04:08,280 --> 00:04:12,720 Speaker 1: lot yelling at the big tech platforms, telling you need 71 00:04:12,760 --> 00:04:16,039 Speaker 1: to do more. This is irresponsible what's going on here? 72 00:04:16,800 --> 00:04:19,800 Speaker 1: But why? I mean, you're not naive, you're not stupid. 73 00:04:20,160 --> 00:04:23,240 Speaker 1: You understand. All these big tech platforms they're all communists, 74 00:04:23,279 --> 00:04:26,120 Speaker 1: all of them. Someone did a chart yesterday on Twitter 75 00:04:26,440 --> 00:04:29,359 Speaker 1: on their donations to political candidates, and I think the 76 00:04:29,440 --> 00:04:32,200 Speaker 1: number was ninety nine. If not, it was ninety eight 77 00:04:32,279 --> 00:04:35,480 Speaker 1: percent of their political donations went to Democrats. They're all 78 00:04:35,560 --> 00:04:39,640 Speaker 1: in the tank for the Democratic Party. Why was he 79 00:04:39,680 --> 00:04:43,719 Speaker 1: ever talking about reforming them? What are you talking about, Joe, Jen? 80 00:04:43,839 --> 00:04:48,480 Speaker 1: What are you talking about? Well, that's the thing that's 81 00:04:48,520 --> 00:04:52,560 Speaker 1: the difference in the communists mentality, in your mentality and 82 00:04:52,680 --> 00:04:56,159 Speaker 1: my mentality, and it's hard for us to understand. I've 83 00:04:56,240 --> 00:04:59,160 Speaker 1: used this example before and it is one hundred percent true. 84 00:05:00,040 --> 00:05:03,200 Speaker 1: If you and me, if we got in a war 85 00:05:03,279 --> 00:05:05,880 Speaker 1: with the communists, you and me were against the communists, 86 00:05:05,880 --> 00:05:08,160 Speaker 1: and the war is over one hundred islands, just one 87 00:05:08,240 --> 00:05:11,479 Speaker 1: hundred equal sized islands in the ocean, and at the 88 00:05:11,600 --> 00:05:14,839 Speaker 1: end of that war they had one and we had 89 00:05:14,960 --> 00:05:19,640 Speaker 1: ninety nine of them. We'd be doing backflips, right, how 90 00:05:19,680 --> 00:05:23,800 Speaker 1: about that? Look at that resounding victory We crushed him. Hey, 91 00:05:23,839 --> 00:05:26,960 Speaker 1: you suck communists, enjoy your island, right, let's start. We'd 92 00:05:26,960 --> 00:05:31,719 Speaker 1: be doing The communist doesn't think in this way. If 93 00:05:31,760 --> 00:05:36,039 Speaker 1: the Communists took ninety nine of Votis islands and we 94 00:05:36,200 --> 00:05:40,040 Speaker 1: had one, the communist wouldn't take even a brief moment 95 00:05:40,120 --> 00:05:45,160 Speaker 1: to celebrate. He would be bitter and angry and miserable 96 00:05:45,320 --> 00:05:50,080 Speaker 1: about that one island he doesn't own. Oh, Joe Biden, Jensaki, 97 00:05:50,120 --> 00:05:52,120 Speaker 1: all the rest of the Communists in the government, they 98 00:05:52,240 --> 00:05:56,800 Speaker 1: very much believe in reforming the social media companies, but 99 00:05:57,200 --> 00:06:01,080 Speaker 1: not for free speech. They believe in bringing these companies 100 00:06:01,120 --> 00:06:05,480 Speaker 1: to heal, so they'll do even more on behalf of 101 00:06:05,520 --> 00:06:07,640 Speaker 1: the Democratic Party. Keep in mind when they talk about 102 00:06:07,640 --> 00:06:12,680 Speaker 1: things like Facebook, they're angry because the Conservatives have the 103 00:06:12,720 --> 00:06:15,800 Speaker 1: biggest numbers on Facebook, because we're the only interesting people 104 00:06:15,839 --> 00:06:18,640 Speaker 1: out there. That's what they're mad about. They want these 105 00:06:18,640 --> 00:06:23,000 Speaker 1: groups censored. I mean, Mark Zuckerberg, for Facebook, very likely 106 00:06:23,080 --> 00:06:27,560 Speaker 1: had a heavy hand in helping Joe Biden win the 107 00:06:27,640 --> 00:06:31,080 Speaker 1: last election, spend hundreds of millions of dollars in swing 108 00:06:31,120 --> 00:06:34,160 Speaker 1: districts in swing states where they're turned out to be 109 00:06:34,200 --> 00:06:38,560 Speaker 1: an unusual amount of voter turnout. We'll just put it 110 00:06:38,600 --> 00:06:41,960 Speaker 1: that way. I mean, Zuckerberg's boy, and Zuckerberg's out there 111 00:06:41,960 --> 00:06:45,839 Speaker 1: getting scolded by these people every day. Why because it's 112 00:06:45,880 --> 00:06:50,640 Speaker 1: never enough for the communists. So yes, they definitely believe 113 00:06:50,680 --> 00:06:54,320 Speaker 1: in reforms for big tech, not more free speech. Though 114 00:06:54,680 --> 00:06:57,640 Speaker 1: they believe these people must be brought to heal. I mean, 115 00:06:57,680 --> 00:07:00,760 Speaker 1: after all, if these people weren't brought to heels, somebody 116 00:07:00,839 --> 00:07:07,599 Speaker 1: might spread dangerous misinformation that's the word, right, misinformation like oh, 117 00:07:07,640 --> 00:07:11,080 Speaker 1: I don't know the vaccine stops the spread of coronavirus. 118 00:07:11,920 --> 00:07:13,600 Speaker 1: That'd be a dangerous thing to put out there, don't 119 00:07:13,600 --> 00:07:16,720 Speaker 1: you think when it's not true. Elizabeth Warren got in 120 00:07:16,760 --> 00:07:22,520 Speaker 1: on it, quote the deal is dangerous for democracy and 121 00:07:22,720 --> 00:07:27,480 Speaker 1: calling for a wealth tax to hold big tech firms accountable. 122 00:07:27,520 --> 00:07:31,520 Speaker 1: Of course, dangerous for democracy. Democracy has officially become one 123 00:07:31,560 --> 00:07:34,000 Speaker 1: of those words the second you hear somebody say it. 124 00:07:34,240 --> 00:07:36,760 Speaker 1: Alarm bells need to be going off all around you 125 00:07:36,840 --> 00:07:40,400 Speaker 1: at all times. But that's odd because remember the Romans 126 00:07:40,480 --> 00:07:44,760 Speaker 1: and their different mobs. Well, Elizabeth Warren doesn't seem to 127 00:07:44,800 --> 00:07:47,840 Speaker 1: have a problem with Jeff Bezos. You see, he's the 128 00:07:47,920 --> 00:07:50,679 Speaker 1: second richest man in the world, next to Elon Musk. 129 00:07:51,040 --> 00:07:56,280 Speaker 1: He owns The Washington Post, he owns Amazon. He's deeply, deeply, 130 00:07:56,840 --> 00:08:01,239 Speaker 1: deeply in bed with China. In fact, he's done things 131 00:08:01,280 --> 00:08:04,520 Speaker 1: on behalf of China, nakedly on behalf of China. If 132 00:08:04,520 --> 00:08:09,280 Speaker 1: there are negative comments about Jijen Ping and Amazon's comments section, whoop, 133 00:08:09,680 --> 00:08:15,840 Speaker 1: no more comments section. But Elizabeth Warren isn't worried about that. Why, well, 134 00:08:16,560 --> 00:08:19,640 Speaker 1: she's in the other mob. We just have our mobs now, 135 00:08:19,880 --> 00:08:22,880 Speaker 1: that's what we've become. And the craziest thing, one of 136 00:08:22,920 --> 00:08:25,200 Speaker 1: the funniest things I saw yesterday and wildest things, is 137 00:08:25,760 --> 00:08:29,120 Speaker 1: it has long been known by people on the right 138 00:08:29,240 --> 00:08:33,400 Speaker 1: that big tech companies like Twitter, they ban people on 139 00:08:33,440 --> 00:08:35,600 Speaker 1: the right. They hardly ever ban anyone on the left. 140 00:08:35,760 --> 00:08:39,640 Speaker 1: They'll censor people on the right, and they'll throttle down 141 00:08:39,720 --> 00:08:42,679 Speaker 1: the engagement for people on the right. For people who 142 00:08:42,720 --> 00:08:45,720 Speaker 1: don't have Twitter, just just know, I mean, I'm obviously 143 00:08:45,800 --> 00:08:48,199 Speaker 1: fantastic on it, and if I put something up there 144 00:08:48,240 --> 00:08:50,360 Speaker 1: that's very witty and they don't want it to get 145 00:08:50,400 --> 00:08:52,600 Speaker 1: a lot of play, well they're just mess with their 146 00:08:52,640 --> 00:08:54,760 Speaker 1: little computer thing is and make sure not very many 147 00:08:54,760 --> 00:08:56,960 Speaker 1: people get to see it. And this has been known 148 00:08:57,040 --> 00:08:59,880 Speaker 1: for years in several circles. This has been known. This 149 00:08:59,920 --> 00:09:02,160 Speaker 1: is just what they do. They shut up the right 150 00:09:02,440 --> 00:09:06,000 Speaker 1: and amplify the left. And if you'd like to know 151 00:09:06,080 --> 00:09:09,760 Speaker 1: what they've been doing, just listen to MSNBC's Ari Milber 152 00:09:10,200 --> 00:09:12,760 Speaker 1: talk about what he's worried might be done to them. 153 00:09:14,360 --> 00:09:17,120 Speaker 1: You own all of Twitter or Facebook or what have you. 154 00:09:17,120 --> 00:09:19,200 Speaker 1: You don't have to explain yourself. You don't even have 155 00:09:19,240 --> 00:09:22,880 Speaker 1: to be transparent. You could secretly ban one party's candidate 156 00:09:23,040 --> 00:09:26,440 Speaker 1: or all of its candidates, all of its nominees, or 157 00:09:26,480 --> 00:09:28,680 Speaker 1: you could just secretly turn down the reach of their 158 00:09:28,760 --> 00:09:30,840 Speaker 1: stuff and turn up the reach of something else, and 159 00:09:31,080 --> 00:09:32,960 Speaker 1: the rest of us might not even find out about 160 00:09:33,000 --> 00:09:37,000 Speaker 1: it till after the election. Elon must says this is 161 00:09:37,040 --> 00:09:39,600 Speaker 1: all to help people because he is just a free 162 00:09:39,640 --> 00:09:48,760 Speaker 1: speech philosophically clear, open minded helper. Oh, they might ban 163 00:09:48,920 --> 00:09:55,400 Speaker 1: your candidates, they might throttle down your engagement. Oh I 164 00:09:55,440 --> 00:10:02,840 Speaker 1: hope he does. Look these pool It is kind of 165 00:10:03,000 --> 00:10:05,200 Speaker 1: terrifying when you pause and think about it. I mean, 166 00:10:05,240 --> 00:10:08,280 Speaker 1: we're having fun, and I do have fun, but it 167 00:10:08,440 --> 00:10:11,760 Speaker 1: is terrifying when you think about how adamant these people 168 00:10:11,880 --> 00:10:16,120 Speaker 1: are against free speech. Keep in mind, well, I love 169 00:10:16,200 --> 00:10:18,120 Speaker 1: this move and I applaud him for it. Elon Musk 170 00:10:18,240 --> 00:10:21,720 Speaker 1: is it's some bloodthirsty right winner walking around with his 171 00:10:21,800 --> 00:10:26,160 Speaker 1: pocket Constitution in his hand. Elon Musk is from South Africa. 172 00:10:26,280 --> 00:10:28,800 Speaker 1: He's got business in China. He's got all kinds of 173 00:10:28,920 --> 00:10:33,600 Speaker 1: green movement stuff all over his resume. He just wants 174 00:10:33,640 --> 00:10:36,560 Speaker 1: people to be able to speak freely. Why is that 175 00:10:36,679 --> 00:10:41,959 Speaker 1: such a problem for America's Democratic Party? Brian Stelter, Well, 176 00:10:42,360 --> 00:10:48,160 Speaker 1: he's worried people people might think the party's dangerous. Look, 177 00:10:48,240 --> 00:10:51,600 Speaker 1: who knows. I think that's a that's a that's an 178 00:10:51,679 --> 00:10:54,600 Speaker 1: example of a broader question. For Twitter, which is if 179 00:10:54,640 --> 00:10:58,199 Speaker 1: you if you get invited to something where there are 180 00:10:58,200 --> 00:11:02,280 Speaker 1: no rules, where there is total freedom for everybody, do 181 00:11:02,320 --> 00:11:04,480 Speaker 1: you actually want to go to that party? Or are 182 00:11:04,480 --> 00:11:06,600 Speaker 1: you gonna decide to stay home? And that's a question 183 00:11:06,640 --> 00:11:09,680 Speaker 1: for Twitter users. Some Twitter users mud love the idea 184 00:11:09,880 --> 00:11:12,640 Speaker 1: there's gonna be absolutely no moderation and no rules at all. 185 00:11:12,920 --> 00:11:14,800 Speaker 1: Others might not want to be anywhere near that. Am 186 00:11:14,800 --> 00:11:17,040 Speaker 1: I crazy? Amount? No? No, you're read. And what happens 187 00:11:17,040 --> 00:11:19,679 Speaker 1: to the advertising? I mean, if there's no moderation or 188 00:11:19,760 --> 00:11:22,200 Speaker 1: little moderation to the advertisers stay away, what does that 189 00:11:22,280 --> 00:11:27,240 Speaker 1: do to the business prospects for Twitter itself? Yeah, I'm 190 00:11:27,240 --> 00:11:29,640 Speaker 1: sure Brian Steltzer gets invited to a lot of cool parties. 191 00:11:29,679 --> 00:11:31,760 Speaker 1: I mean, he's definitely the one i'd want there. By 192 00:11:31,800 --> 00:11:35,440 Speaker 1: the way, a party with no rules sounds sweet? All right? 193 00:11:35,720 --> 00:11:38,360 Speaker 1: So how are they taking it in Twitter? Well, there 194 00:11:38,360 --> 00:11:41,640 Speaker 1: were some leaks yesterday. Apparently they had all hands on 195 00:11:41,760 --> 00:11:44,760 Speaker 1: deck meetings so the employees could vent their frustrations and 196 00:11:44,840 --> 00:11:48,920 Speaker 1: these are just delicious. Hang onto these quote I feel 197 00:11:48,920 --> 00:11:51,680 Speaker 1: like I'm going to throw up. I really don't want 198 00:11:51,679 --> 00:11:53,960 Speaker 1: to work for a company that is owned by Elon Musk. 199 00:11:54,440 --> 00:11:57,280 Speaker 1: Another said I hate him. What does even want this? 200 00:11:57,960 --> 00:12:02,400 Speaker 1: And perhaps the most real one was we're just gonna 201 00:12:02,480 --> 00:12:09,079 Speaker 1: let everyone run a muck. Nobody knows. Again, these employees 202 00:12:09,280 --> 00:12:13,400 Speaker 1: of a social media platform, they think of themselves as 203 00:12:13,480 --> 00:12:18,680 Speaker 1: communist warriors. They believe to their bones that is their job, 204 00:12:18,760 --> 00:12:22,840 Speaker 1: it is their duty, before their communist God, to shut 205 00:12:22,840 --> 00:12:27,600 Speaker 1: you up. They can't comprehend the concept of letting people 206 00:12:27,800 --> 00:12:33,120 Speaker 1: speak that might be dangerous. Pretty revealing, right, pretty terrifying. 207 00:12:34,160 --> 00:12:36,439 Speaker 1: I did enjoy you know, I love this account so much? 208 00:12:36,480 --> 00:12:38,959 Speaker 1: Did Twitter account lives of TikTok, the one that's gotten 209 00:12:38,960 --> 00:12:42,640 Speaker 1: so much play recently, and put together a mashup of 210 00:12:42,760 --> 00:12:45,400 Speaker 1: how people on the left are taking it. And keep 211 00:12:45,440 --> 00:12:48,199 Speaker 1: in mind while you laugh and enjoy yourself with this video. 212 00:12:48,720 --> 00:12:52,040 Speaker 1: This is all in response to Elon must saying, hey, 213 00:12:52,360 --> 00:12:57,360 Speaker 1: everyone should just be able to speak freely. Well, it 214 00:12:57,360 --> 00:13:02,040 Speaker 1: looks like Twitter's gone. They accepted the money and Elon 215 00:13:02,400 --> 00:13:06,640 Speaker 1: Stalin is taking over. So you Twitter, and goodbye forever 216 00:13:07,000 --> 00:13:12,199 Speaker 1: you insane Q like forum or soon to be insane 217 00:13:12,200 --> 00:13:18,520 Speaker 1: like Q like forum. Because outa Elon Musk, this is 218 00:13:18,559 --> 00:13:23,920 Speaker 1: directly to you. Enjoy Twitter. I just deactivated mine. I 219 00:13:23,960 --> 00:13:29,280 Speaker 1: will not be reactivating it. Enjoy. I deactivated my account 220 00:13:29,280 --> 00:13:31,719 Speaker 1: and deleted the app. That's what I think of it. 221 00:13:32,679 --> 00:13:37,360 Speaker 1: A musk. Today, Twitter has announced that they've been bought 222 00:13:37,400 --> 00:13:41,559 Speaker 1: by Elon mat Musk or however you say his name. 223 00:13:42,480 --> 00:13:45,079 Speaker 1: I'm not interested in staying on Twitter anymore because of this, 224 00:13:45,520 --> 00:13:47,280 Speaker 1: and I think there's a lot of people that are 225 00:13:47,320 --> 00:13:51,040 Speaker 1: about to leave, so I just wanted to let everyone 226 00:13:51,120 --> 00:13:53,000 Speaker 1: know that you can find me here. I'm going to 227 00:13:53,040 --> 00:13:56,080 Speaker 1: also share this on Twitter before I deactivate my account, 228 00:13:56,440 --> 00:13:58,840 Speaker 1: so that anyone who wants to follow me can find 229 00:13:58,880 --> 00:14:04,120 Speaker 1: me here as well. Hey, I did a thing today. 230 00:14:04,760 --> 00:14:13,120 Speaker 1: I deactivated my Twitter account. You can too hard to watch. 231 00:14:13,960 --> 00:14:17,440 Speaker 1: Maybe nobody took it harder than Sean King, famed civil 232 00:14:17,520 --> 00:14:21,760 Speaker 1: rights leader in Black Icon Sean King. He deleted his 233 00:14:21,800 --> 00:14:25,440 Speaker 1: account last night and enraged about the Elon musting and 234 00:14:25,480 --> 00:14:28,840 Speaker 1: then well, I mean that didn't last very long. He 235 00:14:28,920 --> 00:14:33,160 Speaker 1: woke up today and reactivated his account. None of you 236 00:14:33,320 --> 00:14:38,440 Speaker 1: losers are leaving. This is just standard communist hyperventilating about 237 00:14:38,480 --> 00:14:41,320 Speaker 1: everything under the sun. Everything is the end of the world. 238 00:14:41,440 --> 00:14:44,080 Speaker 1: It's like the entire Communist party here in America. There 239 00:14:44,080 --> 00:14:46,000 Speaker 1: are a bunch of fourteen year old girls who just 240 00:14:46,040 --> 00:14:48,880 Speaker 1: found a pimple on their nose. All that may have 241 00:14:48,960 --> 00:14:52,000 Speaker 1: made you uncomfortable, but I'm right. We got a great 242 00:14:52,000 --> 00:14:54,440 Speaker 1: show for you tonight. We're gonna talk to Michael Malice. 243 00:14:54,480 --> 00:14:57,840 Speaker 1: We're gonna talk about Black Lives Matter, speaking of Sean King, 244 00:14:58,160 --> 00:15:02,240 Speaker 1: and much much more. But got an email here. Email 245 00:15:02,280 --> 00:15:05,840 Speaker 1: I think you might enjoy. The email simply says, well, 246 00:15:05,840 --> 00:15:07,600 Speaker 1: it talks about something else for a little while, and 247 00:15:07,640 --> 00:15:12,080 Speaker 1: then it says, I bought the Eden Pure purifiers and 248 00:15:12,200 --> 00:15:16,640 Speaker 1: have been blown away in My house is old and 249 00:15:16,800 --> 00:15:21,280 Speaker 1: constantly smelled like it. The smells are gone. I recommended 250 00:15:21,320 --> 00:15:23,560 Speaker 1: it to a dozen people, and anyone who comes over 251 00:15:23,680 --> 00:15:26,680 Speaker 1: cannot believe the difference. He also says they weren't great 252 00:15:26,680 --> 00:15:29,080 Speaker 1: in vehicles. Yes they do, by the way, so thank 253 00:15:29,120 --> 00:15:32,800 Speaker 1: you for that recommendation. When I tell you about Eden Pure, 254 00:15:33,680 --> 00:15:36,360 Speaker 1: I get emails like this all the time, Jesse. I 255 00:15:36,360 --> 00:15:38,920 Speaker 1: can't even smell the cat litter anymore, Jesse. My house 256 00:15:38,960 --> 00:15:41,960 Speaker 1: smelled like cigarettes, and now it doesn't. This thing is amazing. 257 00:15:42,040 --> 00:15:44,880 Speaker 1: It does more than just help with allergies. It takes 258 00:15:45,040 --> 00:15:47,600 Speaker 1: the odor out of your air. Does it cover it up? 259 00:15:47,640 --> 00:15:50,280 Speaker 1: It takes it out. I own three of them, one 260 00:15:50,280 --> 00:15:51,960 Speaker 1: of my bedroom, one of my son's room, one of 261 00:15:51,960 --> 00:15:54,880 Speaker 1: the main living area. Go and do likewise, go to 262 00:15:55,200 --> 00:15:59,480 Speaker 1: eden pure deals dot com, use the code Jesse and 263 00:15:59,560 --> 00:16:03,160 Speaker 1: that gets you two hundred dollars off Eden puredeals dot 264 00:16:03,160 --> 00:16:20,840 Speaker 1: com code Jesse. We'll be back. I still think Gilon 265 00:16:21,200 --> 00:16:28,120 Speaker 1: musconing Twitter is a bad idea. He will amplify racists, bigots, 266 00:16:28,200 --> 00:16:33,240 Speaker 1: and misinformation. He is a bad faith actor. What is 267 00:16:33,400 --> 00:16:42,120 Speaker 1: distorted views of free speech and censorship. The guy dancing 268 00:16:42,200 --> 00:16:44,680 Speaker 1: was the nerd who typed that up. Joining me now 269 00:16:44,760 --> 00:16:47,160 Speaker 1: to talk about all of this and much more is 270 00:16:47,200 --> 00:16:50,680 Speaker 1: my friend Michael Malice, of course, author of the great Book, 271 00:16:50,720 --> 00:16:53,000 Speaker 1: a handbook for all of us right now called the 272 00:16:53,080 --> 00:16:59,200 Speaker 1: New Right, and the Anarchist Handbook. Michael, you oftentimes put 273 00:16:59,200 --> 00:17:01,680 Speaker 1: a smile on face and make me feel better about 274 00:17:01,720 --> 00:17:04,520 Speaker 1: where we are, about things, what I'm doing, my normal, 275 00:17:04,680 --> 00:17:07,320 Speaker 1: cynical everything's the end of the world. You'll come in 276 00:17:07,359 --> 00:17:09,359 Speaker 1: and you'll put a bright, shining face on it. Make 277 00:17:09,440 --> 00:17:11,639 Speaker 1: me feel better. Well, I already feel good. Make me 278 00:17:11,680 --> 00:17:14,199 Speaker 1: feel even better about this. First of all, I'm going 279 00:17:14,240 --> 00:17:16,000 Speaker 1: to make feel a little bit worse because we don't 280 00:17:16,000 --> 00:17:17,760 Speaker 1: know that Elon Musk is, don't do anything to change 281 00:17:17,760 --> 00:17:20,000 Speaker 1: our Twitter outferings. You know, don't know that at all. 282 00:17:20,160 --> 00:17:22,359 Speaker 1: He does not have to particular track record when we're another. 283 00:17:22,400 --> 00:17:24,760 Speaker 1: Sure he trolls a lot on Twitter, but that could 284 00:17:24,840 --> 00:17:26,680 Speaker 1: go either rate once you're the owner of a company 285 00:17:26,680 --> 00:17:30,439 Speaker 1: as opposed to someone a simply user that said, what 286 00:17:30,640 --> 00:17:34,000 Speaker 1: is glorious about Elon must taking over Twitter is that 287 00:17:34,080 --> 00:17:38,000 Speaker 1: it is desanctifying sacred spaces that people who are just 288 00:17:38,040 --> 00:17:40,840 Speaker 1: the worst people on earth regard as their own. They 289 00:17:40,960 --> 00:17:43,679 Speaker 1: kicked out President Trump, a sitting president who if he 290 00:17:43,880 --> 00:17:47,240 Speaker 1: is dangerous and is urging people to violence that he's 291 00:17:47,240 --> 00:17:49,880 Speaker 1: certainly his words should be front and center, so we're 292 00:17:49,880 --> 00:17:52,160 Speaker 1: all aware of what this awful president is doing as 293 00:17:52,160 --> 00:17:55,000 Speaker 1: opposed to him being silenced. And as a result of 294 00:17:55,119 --> 00:17:58,199 Speaker 1: Trump getting give on Twitter, there was this idea among 295 00:17:58,440 --> 00:18:00,879 Speaker 1: the worst of us that Twitter is going to be 296 00:18:01,280 --> 00:18:04,680 Speaker 1: a space for a certain type of subculture. This has 297 00:18:04,680 --> 00:18:07,600 Speaker 1: been completely undermined. And this kind of thing goes back 298 00:18:07,600 --> 00:18:10,600 Speaker 1: to I think it was twenty seventeen when there was 299 00:18:10,640 --> 00:18:12,639 Speaker 1: a play in Central Park that I think it was 300 00:18:12,720 --> 00:18:15,639 Speaker 1: Chase Bank was behind and every night on stage President 301 00:18:15,640 --> 00:18:18,600 Speaker 1: Trump was which realistically murdered in a reinteractment of Julius 302 00:18:18,640 --> 00:18:22,200 Speaker 1: Caesar and Jack Bosovik and Laura Lumer rushed the stage 303 00:18:22,320 --> 00:18:24,840 Speaker 1: and it was a huge outrage. How are you interrupting 304 00:18:24,840 --> 00:18:28,119 Speaker 1: our play where we're murdering the president Central Park? Have 305 00:18:28,320 --> 00:18:32,040 Speaker 1: you no decency? Have you no respect? So to you? 306 00:18:32,080 --> 00:18:35,480 Speaker 1: And I always talk about offense, offense, offense. This is 307 00:18:35,520 --> 00:18:37,880 Speaker 1: a great example of this. And there has been no 308 00:18:38,080 --> 00:18:42,480 Speaker 1: even hypothetical about just how Elon Musk would or could 309 00:18:42,800 --> 00:18:46,640 Speaker 1: amplify racists. Twitter is not a website where voices can 310 00:18:46,680 --> 00:18:52,400 Speaker 1: get amplified, only silenced. Michael, You, as I already pointed out, 311 00:18:52,480 --> 00:18:54,680 Speaker 1: quite literally wrote the book on the New Right, which 312 00:18:54,720 --> 00:18:59,919 Speaker 1: we talked about often. Now, our communists seems so soft 313 00:19:00,200 --> 00:19:02,399 Speaker 1: to me. Now. I know they're vicious and murderous and 314 00:19:02,400 --> 00:19:06,199 Speaker 1: aggressive like communists always were, but they seem so soft. 315 00:19:06,240 --> 00:19:09,320 Speaker 1: As much as I obviously despise guys like Mao, Lennon, 316 00:19:09,480 --> 00:19:12,800 Speaker 1: Stalin Chay, I mean, you name it, they were at 317 00:19:12,880 --> 00:19:16,240 Speaker 1: least fighters. Almost all these guys had body counts, lots 318 00:19:16,240 --> 00:19:18,240 Speaker 1: of them. They've been shot at and shot other people. 319 00:19:18,600 --> 00:19:22,000 Speaker 1: Our communists seem to be so weak the second you 320 00:19:22,119 --> 00:19:25,240 Speaker 1: touch them. At all. They just lose their minds. Jesse, 321 00:19:25,440 --> 00:19:28,760 Speaker 1: I can't help but glory Yet. That picture that you 322 00:19:28,840 --> 00:19:31,359 Speaker 1: just posted of yourself on the throne, that is the 323 00:19:31,400 --> 00:19:34,399 Speaker 1: most ornate and beautiful dunce cap I think I have 324 00:19:34,520 --> 00:19:38,000 Speaker 1: ever seen. It almost looks like a crown, but you 325 00:19:38,040 --> 00:19:41,520 Speaker 1: got to look closely. This is the point I grew 326 00:19:41,520 --> 00:19:45,359 Speaker 1: to completely. The enemy class is not composed of impressive people. 327 00:19:45,600 --> 00:19:49,760 Speaker 1: And just one simple example that lives of TikTok account 328 00:19:49,800 --> 00:19:53,200 Speaker 1: that I got docs. Look at any college professor on Twitter. 329 00:19:53,520 --> 00:19:56,240 Speaker 1: They're not saying things that are particularly insightful. They're not 330 00:19:56,240 --> 00:19:58,760 Speaker 1: saying things that are much different from what you're annoying. 331 00:19:58,920 --> 00:20:01,880 Speaker 1: And for Grandma's most thing, you know on Facebook, it's 332 00:20:01,880 --> 00:20:03,920 Speaker 1: the same mindset, the same insights. You're not going to 333 00:20:04,000 --> 00:20:06,439 Speaker 1: get some kind of sophisticated reason or anything like that. 334 00:20:06,720 --> 00:20:08,919 Speaker 1: So this is a glorious day and we're taking the 335 00:20:08,960 --> 00:20:13,399 Speaker 1: fight through the enemy class. Michael, you're great about psychologizing 336 00:20:13,440 --> 00:20:15,639 Speaker 1: these people. Look if I was, I mean, if I 337 00:20:15,720 --> 00:20:18,000 Speaker 1: was one of these people and I was really upset 338 00:20:18,040 --> 00:20:21,639 Speaker 1: about the idea of free speech, I would think that 339 00:20:21,680 --> 00:20:23,800 Speaker 1: would give me a moment, even if it's a private 340 00:20:23,840 --> 00:20:26,880 Speaker 1: moment where I thought, man, am I the bad guy here? 341 00:20:26,920 --> 00:20:29,119 Speaker 1: I mean, remember, he's not some card carrying right winger. 342 00:20:29,160 --> 00:20:31,080 Speaker 1: He just said it's the public square. Everyone should be 343 00:20:31,160 --> 00:20:32,760 Speaker 1: able to speak. We don't even know if he'll go 344 00:20:32,800 --> 00:20:36,520 Speaker 1: through it, but if he does, that's what's freaking them out. 345 00:20:37,119 --> 00:20:39,920 Speaker 1: They have no idea. They're the bad guys, though, do they? Well, 346 00:20:40,040 --> 00:20:42,119 Speaker 1: I don't think it's there. They don't really care for 347 00:20:42,200 --> 00:20:43,960 Speaker 1: free speech, and I don't think most people get free 348 00:20:44,000 --> 00:20:46,879 Speaker 1: speech because it sounds frankly, if some horrible people are getting, 349 00:20:47,200 --> 00:20:49,720 Speaker 1: you know, silence, that's not necessarily a bad thing. And 350 00:20:49,720 --> 00:20:51,320 Speaker 1: I don't even me in terms of politics. They're just 351 00:20:51,359 --> 00:20:53,640 Speaker 1: some bad people who should not be welcomed in many 352 00:20:53,680 --> 00:20:57,480 Speaker 1: certain places. But they're concerned about his control. The only 353 00:20:57,560 --> 00:21:00,760 Speaker 1: way that this kind of ideology can maintain its hold 354 00:21:00,800 --> 00:21:03,600 Speaker 1: on power, which has had for a century, is having 355 00:21:03,640 --> 00:21:06,879 Speaker 1: a monopoly on the microphone. We saw this, you know 356 00:21:06,920 --> 00:21:09,439 Speaker 1: in the seventies and eighties you had three news channels. 357 00:21:09,440 --> 00:21:12,760 Speaker 1: Everyone came home, had dinner with the family, watch the news, CBS, 358 00:21:12,880 --> 00:21:16,560 Speaker 1: NBC or ABC. You have three variants of progressive democracy 359 00:21:16,840 --> 00:21:19,600 Speaker 1: to Progressive Democratic Party, and people that they have choices. 360 00:21:19,720 --> 00:21:23,160 Speaker 1: Now with YouTube, you have infinite voices who can speak Twitter. 361 00:21:23,200 --> 00:21:25,480 Speaker 1: You gotta be infinite, except that the people get kicked off. 362 00:21:25,680 --> 00:21:27,880 Speaker 1: And this is a big problem for them because sometimes 363 00:21:27,880 --> 00:21:31,159 Speaker 1: when people have choices, they're not going to choose between Cocondepsi. 364 00:21:31,240 --> 00:21:34,160 Speaker 1: They're going to drink, you know, un sweeten iced tea 365 00:21:34,320 --> 00:21:37,000 Speaker 1: or water or energy drinks. And they need to form 366 00:21:37,040 --> 00:21:40,639 Speaker 1: those coalitions to form majority, and that's increasingly impossible. And 367 00:21:41,080 --> 00:21:43,879 Speaker 1: the thing is if it's glorious, because unless you have 368 00:21:43,920 --> 00:21:46,840 Speaker 1: a governing majority, you can't do things like lockdowns. You 369 00:21:46,840 --> 00:21:49,040 Speaker 1: can't do things like send people to war overseas for 370 00:21:49,080 --> 00:21:53,680 Speaker 1: no reason. What kind of loser would drink unsweetened tea? 371 00:21:54,040 --> 00:21:58,520 Speaker 1: Someone I'm trying to lose mate, Oh gosh, all right, 372 00:21:58,920 --> 00:22:04,800 Speaker 1: speaking of some lose weight. Speaking of trying to lose weight. 373 00:22:04,880 --> 00:22:07,000 Speaker 1: We have a clip from the View. Here's Sonny hosting, 374 00:22:08,320 --> 00:22:13,160 Speaker 1: And in fact, on Twitter, it is predominantly straight white men. 375 00:22:13,359 --> 00:22:17,919 Speaker 1: So when Elon Musk says, wow, this is about free speech, 376 00:22:17,960 --> 00:22:20,760 Speaker 1: it seems to me that it's about free speech of 377 00:22:21,080 --> 00:22:24,520 Speaker 1: straight white men, and so let them have it, let 378 00:22:24,560 --> 00:22:28,639 Speaker 1: them just go at it. I enjoyed the block button 379 00:22:28,880 --> 00:22:33,280 Speaker 1: on Twitter. I think it has a real outsized influence 380 00:22:33,480 --> 00:22:38,360 Speaker 1: in our world because politicians and celebrities are on it. Michael, 381 00:22:38,400 --> 00:22:41,720 Speaker 1: It's not a surprise that an ideological gerbil like Sonny 382 00:22:41,880 --> 00:22:44,200 Speaker 1: would want, you know, would bring up straight white men 383 00:22:44,200 --> 00:22:46,520 Speaker 1: and bring race into this. That's no surprise to anybody. 384 00:22:46,560 --> 00:22:51,280 Speaker 1: But have we crossed the rubicon on that word being effective. 385 00:22:51,400 --> 00:22:53,320 Speaker 1: I know it's been effective for a long time. It 386 00:22:53,320 --> 00:22:56,720 Speaker 1: plays right into white guild America. But I think it's 387 00:22:56,800 --> 00:22:59,639 Speaker 1: finally run its course. No, I think I read its 388 00:22:59,680 --> 00:23:01,880 Speaker 1: course in twenty sixteen. I think you've missed the key 389 00:23:01,920 --> 00:23:03,600 Speaker 1: point of what she said when she said let them 390 00:23:03,600 --> 00:23:06,640 Speaker 1: have it. This was a retreat. Notice she's saying, well, 391 00:23:07,000 --> 00:23:09,960 Speaker 1: the grapes were sour to begin with. Oh. First of all, 392 00:23:10,000 --> 00:23:12,840 Speaker 1: the idea that Twitter, which is a worldwide social media platform, 393 00:23:13,080 --> 00:23:16,359 Speaker 1: would be majority mail at all, let alone white male, 394 00:23:16,480 --> 00:23:19,000 Speaker 1: let alone straight white mail. He is completely nonsense. Togo. 395 00:23:19,320 --> 00:23:21,200 Speaker 1: I don't know how many followers you have. She has 396 00:23:21,200 --> 00:23:23,000 Speaker 1: some shorts a lot, And you have to keep in 397 00:23:23,040 --> 00:23:25,320 Speaker 1: mind that the view is the Karen Mothership. It is 398 00:23:25,359 --> 00:23:27,880 Speaker 1: their job to program all the Karen's in America, who 399 00:23:27,880 --> 00:23:31,640 Speaker 1: are overwhelmingly female, made by females who are the biggest 400 00:23:31,680 --> 00:23:34,399 Speaker 1: probably socio political group that's causing problems in America in 401 00:23:34,400 --> 00:23:38,679 Speaker 1: the world at large with their busy bodiness and neuroses. Michael, 402 00:23:39,320 --> 00:23:42,080 Speaker 1: where does Trump fit into this political future of ours? 403 00:23:42,119 --> 00:23:44,840 Speaker 1: I mean, he's already talking about true social and Twitter. 404 00:23:44,920 --> 00:23:47,280 Speaker 1: I think he's clearly running again. I would say in 405 00:23:47,359 --> 00:23:51,480 Speaker 1: twenty twenty four he'll be popular, most popular Republican in 406 00:23:51,480 --> 00:23:54,400 Speaker 1: the country, not near as popular as he was before. 407 00:23:55,040 --> 00:23:57,199 Speaker 1: As Trump a fish out of water? Now, is he 408 00:23:57,280 --> 00:23:59,359 Speaker 1: still the leader of the right? Well? Where does he 409 00:23:59,400 --> 00:24:01,720 Speaker 1: fit into all? I don't know. If you saw recently 410 00:24:01,760 --> 00:24:03,560 Speaker 1: he was having a rally and he was promoting his 411 00:24:03,960 --> 00:24:06,520 Speaker 1: social media site and he referred to with his essential 412 00:24:07,240 --> 00:24:09,720 Speaker 1: My goal is for twenty twenty four is to have 413 00:24:09,760 --> 00:24:12,560 Speaker 1: a debate where both candidates Biden and Trump are having 414 00:24:12,560 --> 00:24:15,720 Speaker 1: strokes simultaneously on stage. That, for an anarchist is how 415 00:24:15,880 --> 00:24:19,680 Speaker 1: we win in this country. I think Trump has increasingly 416 00:24:20,040 --> 00:24:23,919 Speaker 1: been regarded as more of an albatross, even by his 417 00:24:23,960 --> 00:24:26,600 Speaker 1: own supporters, in favor of people like run de Santis. 418 00:24:27,160 --> 00:24:31,200 Speaker 1: This show is not as funny and the biggest asset 419 00:24:31,240 --> 00:24:33,720 Speaker 1: of the Trump presidency, and I think you would agree, 420 00:24:33,920 --> 00:24:36,000 Speaker 1: was every morning you'd wake up look on Twitter, it'd 421 00:24:36,040 --> 00:24:37,879 Speaker 1: be like, what the hell is this guy said today? 422 00:24:38,240 --> 00:24:41,840 Speaker 1: And hilarious. I'm running a tournament right now in the 423 00:24:41,840 --> 00:24:45,600 Speaker 1: top sixteen Trump tweets, and the response I'm getting was tremendous. 424 00:24:46,000 --> 00:24:48,800 Speaker 1: But at a certain point, the guy gave us fauci. 425 00:24:49,160 --> 00:24:53,640 Speaker 1: The guy gave us so many other John Bolton, Ivanka 426 00:24:53,760 --> 00:24:58,440 Speaker 1: and Jared, so many nefarious characters. And what did Republicans 427 00:24:58,480 --> 00:25:00,800 Speaker 1: have to show for it other than liber world tears? 428 00:25:00,800 --> 00:25:03,840 Speaker 1: Which is something, but it's not as important as what 429 00:25:04,000 --> 00:25:07,000 Speaker 1: Junkin is doing in Virginia and the Status is doing 430 00:25:07,040 --> 00:25:11,720 Speaker 1: in Florida, or even Abbot in Texas. Michael Malice, his 431 00:25:11,840 --> 00:25:14,440 Speaker 1: book is the New Right. Of course the anarchists handbook 432 00:25:14,440 --> 00:25:16,119 Speaker 1: as well, but his book is the New Right. It 433 00:25:16,280 --> 00:25:20,120 Speaker 1: is that is our handbook. People. Michael appreciate you man. Oh, 434 00:25:20,160 --> 00:25:24,560 Speaker 1: it's a pleasure. Jesse, all right, we have a lot more. 435 00:25:24,840 --> 00:25:28,840 Speaker 1: We're going to talk about crime. It's out of control. 436 00:25:28,960 --> 00:25:31,320 Speaker 1: It's something we have to continue to address right now, 437 00:25:31,400 --> 00:25:34,320 Speaker 1: and we have to address the why so we don't 438 00:25:34,320 --> 00:25:37,200 Speaker 1: make these mistakes again. May get a little offensive, but 439 00:25:37,280 --> 00:25:40,200 Speaker 1: that's who I am before we do that. Though, speaking 440 00:25:40,200 --> 00:25:43,520 Speaker 1: of crime, I know when you think of crime. You 441 00:25:43,600 --> 00:25:46,560 Speaker 1: think of the latest Internet video of some poor old 442 00:25:46,600 --> 00:25:51,240 Speaker 1: lady getting robbed. The truth is old ladies get robbed 443 00:25:51,320 --> 00:25:55,600 Speaker 1: every single day in this country online. It wipes people out, 444 00:25:55,680 --> 00:25:58,920 Speaker 1: not just old ladies, families. If you own a home, 445 00:25:59,600 --> 00:26:03,000 Speaker 1: home title theft is a problem for you. It doesn't 446 00:26:03,000 --> 00:26:04,520 Speaker 1: matter who you are. If you own a home, it's 447 00:26:04,520 --> 00:26:06,880 Speaker 1: a problem for you because your home titles online. Now 448 00:26:07,119 --> 00:26:11,080 Speaker 1: it's all online. These cyber thieves. While you watch me 449 00:26:11,240 --> 00:26:14,360 Speaker 1: right now, they're online browsing, trying to hack into the cloud. 450 00:26:14,720 --> 00:26:17,080 Speaker 1: Get your home title, forge your signature on it, and 451 00:26:17,080 --> 00:26:20,280 Speaker 1: take a loan out against it. Don't get burned. Go 452 00:26:20,440 --> 00:26:23,560 Speaker 1: get home title lock. They'll detect any tampering and shut 453 00:26:23,600 --> 00:26:27,000 Speaker 1: it down like that. If these guys get you, you 454 00:26:27,040 --> 00:26:29,399 Speaker 1: can get evicted from your home. It's happened to people. 455 00:26:29,960 --> 00:26:33,200 Speaker 1: Go to home title lock dot com. We'll be back, 456 00:26:39,680 --> 00:26:44,639 Speaker 1: accountability consequences. We talk about it all the time on 457 00:26:44,680 --> 00:26:49,040 Speaker 1: the show. It's not exactly a mystery to anybody that 458 00:26:49,240 --> 00:26:52,080 Speaker 1: crime is out of control right now. Even the Sorry 459 00:26:52,160 --> 00:26:54,760 Speaker 1: News is covering the fact that, especially in the city's, 460 00:26:55,119 --> 00:27:00,000 Speaker 1: crime is nuts in this country, particularly against police officers. 461 00:27:00,000 --> 00:27:02,080 Speaker 1: The number of police officers killed last year in the 462 00:27:02,119 --> 00:27:07,040 Speaker 1: line of duty was seventy three. That is a fifty 463 00:27:07,160 --> 00:27:11,159 Speaker 1: nine year, fifty nine percent spike year over year, and 464 00:27:11,240 --> 00:27:14,680 Speaker 1: the first time the number was that high since nineteen 465 00:27:14,880 --> 00:27:18,840 Speaker 1: ninety five. And wouldn't you know it, the director of 466 00:27:18,840 --> 00:27:23,560 Speaker 1: the FBI, Christopher Ray, she's very concerned about these numbers. Now. 467 00:27:24,920 --> 00:27:28,520 Speaker 1: Violence against law enforcement in this country is one of 468 00:27:28,640 --> 00:27:32,440 Speaker 1: the biggest phenomenons that I think doesn't get enough attention. 469 00:27:32,920 --> 00:27:35,159 Speaker 1: Last year, officers were being killed at a rate of 470 00:27:35,200 --> 00:27:38,879 Speaker 1: almost one every five days, an alarming percentage of the 471 00:27:38,960 --> 00:27:42,080 Speaker 1: seventy three law enforcement officers killed in a lot of 472 00:27:42,119 --> 00:27:46,280 Speaker 1: duty last year were killed through things like being ambushed 473 00:27:48,119 --> 00:27:52,000 Speaker 1: or shot while out on patrol. They were killed because 474 00:27:52,040 --> 00:27:55,159 Speaker 1: they were police officers. Right, wearing the badge shouldn't make 475 00:27:55,160 --> 00:28:00,600 Speaker 1: you a target man. That's good stuff, right, Good for you, 476 00:28:00,680 --> 00:28:06,080 Speaker 1: mister FBI director. But that's funny. It's almost seems like 477 00:28:06,119 --> 00:28:10,680 Speaker 1: it was yesterday when Saint George Floyd died and the 478 00:28:10,760 --> 00:28:13,639 Speaker 1: Democratic Party decided that tops were the enemy of the 479 00:28:13,680 --> 00:28:16,200 Speaker 1: country and that there were a bunch of evil, racist 480 00:28:16,200 --> 00:28:19,240 Speaker 1: white people who when they were they were planning on 481 00:28:19,600 --> 00:28:22,679 Speaker 1: overthrowing the government and committing all these violent acts because 482 00:28:22,680 --> 00:28:25,520 Speaker 1: they've been asked time and time again, what are you 483 00:28:25,560 --> 00:28:28,080 Speaker 1: digging into? What's the biggest threat in this country? And 484 00:28:28,200 --> 00:28:31,520 Speaker 1: here's what they've said, time and time again. According to 485 00:28:31,520 --> 00:28:36,480 Speaker 1: the intelligence community, terrorism for white supremacy is the most 486 00:28:36,840 --> 00:28:44,200 Speaker 1: lethal threat the homeland today. Notis not aka white supremacies. 487 00:28:44,560 --> 00:28:48,560 Speaker 1: In the FBI's view, the top domestic violent extremist threat 488 00:28:48,640 --> 00:28:54,240 Speaker 1: comes from racially or ethnically motivated violent extremists, specifically those 489 00:28:54,280 --> 00:28:59,200 Speaker 1: who advocated for the superiority of the white race. Which 490 00:28:59,240 --> 00:29:04,000 Speaker 1: is funny because again, what's that number? Seventy three cops? 491 00:29:04,960 --> 00:29:07,240 Speaker 1: Not one of them was killed by a white supremacist. 492 00:29:07,920 --> 00:29:12,160 Speaker 1: That's so wild and so well so so, FBI, what 493 00:29:12,280 --> 00:29:15,240 Speaker 1: have you been doing? Have you got all these cops? Dian, 494 00:29:15,680 --> 00:29:19,520 Speaker 1: it's not white supremacists killing them? What have you been doing? Oh? Oh, 495 00:29:19,560 --> 00:29:21,920 Speaker 1: never mind, I have it. It's right here. The FBI 496 00:29:22,000 --> 00:29:27,400 Speaker 1: has been busy hunting down people who well hang garage 497 00:29:27,400 --> 00:29:31,120 Speaker 1: pole strings at NASCAR. They've been busy hunting down non 498 00:29:31,280 --> 00:29:34,520 Speaker 1: violent first time offenders who sauntered into the Capitol on 499 00:29:34,640 --> 00:29:39,040 Speaker 1: January sixth. Oh. The FBI has been very, very very busy. 500 00:29:39,400 --> 00:29:43,320 Speaker 1: They've been busy targeting the ideological opponents of the Democratic 501 00:29:43,360 --> 00:29:47,120 Speaker 1: Party and demonizing white people at every turn. Well, the 502 00:29:47,160 --> 00:29:49,840 Speaker 1: cops are dying and it's not the white supremacists doing 503 00:29:49,840 --> 00:29:53,800 Speaker 1: it in this country. Who might be at fault? Man, 504 00:29:53,840 --> 00:29:59,720 Speaker 1: I don't know. Nothing comes to mind. I remember the 505 00:29:59,760 --> 00:30:02,240 Speaker 1: first I think I said to the organization was do 506 00:30:02,320 --> 00:30:04,520 Speaker 1: you fight police? That's what I wanted to do. I 507 00:30:05,120 --> 00:30:08,479 Speaker 1: want to fight police. There they were the they were 508 00:30:08,520 --> 00:30:12,680 Speaker 1: a single host. Um. So they're a terrorist organization and 509 00:30:12,680 --> 00:30:15,640 Speaker 1: in my life, and I wanted to know how to 510 00:30:15,640 --> 00:30:24,520 Speaker 1: fight them. I'm at the points and you and your 511 00:30:24,560 --> 00:30:29,880 Speaker 1: handler mascas you in racist hmm. I want to put 512 00:30:29,880 --> 00:30:36,200 Speaker 1: the police in the grave. Who who was that white supremacist? Oh? 513 00:30:36,240 --> 00:30:39,560 Speaker 1: That was Black Lives Matter. Black Lives Matter, who've been 514 00:30:39,560 --> 00:30:42,840 Speaker 1: slaughtering police officers in this country for years. Maybe you forgot. 515 00:30:43,160 --> 00:30:45,640 Speaker 1: They slaughtered five of them one night in Dallas while 516 00:30:45,680 --> 00:30:48,760 Speaker 1: Barack Obama was president. They've been waging war on the 517 00:30:48,800 --> 00:30:52,120 Speaker 1: black community and on police officers for years. But don't worry. 518 00:30:52,520 --> 00:30:55,920 Speaker 1: The FBI is gonna find those dastardly white supremacists and 519 00:30:56,040 --> 00:30:59,600 Speaker 1: get to the bottom of all this. Shoot Carief, all right, 520 00:30:59,760 --> 00:31:01,440 Speaker 1: we still got a lot more for you. You're gonna 521 00:31:01,480 --> 00:31:04,640 Speaker 1: want to hang on and hear about the supply chains, 522 00:31:04,920 --> 00:31:09,360 Speaker 1: food sort shortages, China. We've got more coming up before 523 00:31:09,360 --> 00:31:12,920 Speaker 1: we get to that. I know you're upset about corporate 524 00:31:12,920 --> 00:31:15,800 Speaker 1: America going to the left. It sucks. It was never 525 00:31:15,880 --> 00:31:17,400 Speaker 1: liked that when I was a kid. It wasn't like that. 526 00:31:17,440 --> 00:31:21,880 Speaker 1: I'm not even that old. Not that old. Sucks. Where 527 00:31:21,880 --> 00:31:24,000 Speaker 1: do you go now? Where do you spend your money? 528 00:31:24,000 --> 00:31:25,560 Speaker 1: I don't want to spend my money with people who 529 00:31:25,600 --> 00:31:29,880 Speaker 1: hate me. Go to public sq. I don't have a 530 00:31:29,920 --> 00:31:32,120 Speaker 1: brain with some Excel spreadsheet in it. I don't know 531 00:31:32,160 --> 00:31:33,640 Speaker 1: these things. I don't have to know these things. I 532 00:31:33,680 --> 00:31:36,880 Speaker 1: have public Escue right here on my phone. Public sq. 533 00:31:37,120 --> 00:31:40,520 Speaker 1: It's downloadable right right from the app store, Apple, Google Play, 534 00:31:40,560 --> 00:31:43,840 Speaker 1: whatever you have. It'll let you know who was with 535 00:31:43,880 --> 00:31:47,840 Speaker 1: you during COVID, who believes what you believe? Where should 536 00:31:47,840 --> 00:31:49,760 Speaker 1: you go? Get that cup of coffee, Go get that 537 00:31:49,840 --> 00:32:07,400 Speaker 1: local burger, public sq. We'll be back. We do not 538 00:32:07,640 --> 00:32:12,320 Speaker 1: yet know so full extent and so systemic and structural 539 00:32:12,520 --> 00:32:18,760 Speaker 1: changes which will happen. However, we do know so global 540 00:32:18,960 --> 00:32:24,560 Speaker 1: energy systems, food systems and supply chains will be deeply affected. 541 00:32:27,640 --> 00:32:30,520 Speaker 1: That doesn't sound good, and you know what, it doesn't 542 00:32:30,520 --> 00:32:34,240 Speaker 1: sound good either. Joining me now, Ross Kennedy, Senior Fellow 543 00:32:34,280 --> 00:32:39,280 Speaker 1: for Security Studies group is also a supply chain group. Ross, 544 00:32:40,080 --> 00:32:45,640 Speaker 1: What exactly is that Bond movie villain talking about. I 545 00:32:45,680 --> 00:32:48,200 Speaker 1: think he's talking about the you know, million points of 546 00:32:48,320 --> 00:32:52,520 Speaker 1: light that they're going to use to disrupt food security. 547 00:32:52,640 --> 00:32:55,760 Speaker 1: So we've got a few things happening in the world, 548 00:32:56,280 --> 00:32:58,880 Speaker 1: not just in the US, but worldwide that are impacting 549 00:32:58,920 --> 00:33:02,560 Speaker 1: food security. You know, the last few years have revealed 550 00:33:02,600 --> 00:33:05,400 Speaker 1: just how weak the global supply chains really are, at 551 00:33:05,480 --> 00:33:08,560 Speaker 1: least how fragile they are when you've got everybody doing 552 00:33:08,640 --> 00:33:11,440 Speaker 1: very specific things and relying on other countries to meet 553 00:33:11,480 --> 00:33:15,400 Speaker 1: other needs. So that pandemic is revealed to us that 554 00:33:15,520 --> 00:33:18,240 Speaker 1: these weaknesses are are really kind of inherent throughout the 555 00:33:18,240 --> 00:33:21,480 Speaker 1: global economy and have a major impact, so that, you know, 556 00:33:21,480 --> 00:33:24,800 Speaker 1: it's a catastrophic failure cascade. One thing kind of leads 557 00:33:24,840 --> 00:33:27,000 Speaker 1: to another all the way down. It's it's a pretty 558 00:33:27,040 --> 00:33:31,400 Speaker 1: negative situation. There are some you know, things underneath that 559 00:33:31,520 --> 00:33:34,520 Speaker 1: can be identified, but at a top level, that's definitely 560 00:33:34,520 --> 00:33:37,120 Speaker 1: the issue at hand here is, you know, globalization is 561 00:33:37,160 --> 00:33:40,960 Speaker 1: basically coming apart at the seams. Well, you're the guru 562 00:33:41,120 --> 00:33:43,640 Speaker 1: and I'm not. When it comes to supply chains, we've 563 00:33:43,680 --> 00:33:47,880 Speaker 1: already seen shortages, We've already seen some emptiness on the shelves. 564 00:33:47,960 --> 00:33:51,120 Speaker 1: We're not the Soviet Union. But how much worse is 565 00:33:51,160 --> 00:33:53,000 Speaker 1: this gonna get? Ross? Where are we at? Are we 566 00:33:53,040 --> 00:33:56,680 Speaker 1: in the beginning or the end of this whole thing? Well, 567 00:33:56,680 --> 00:33:59,600 Speaker 1: that depends on which unfortunately, which country you're talking about. 568 00:33:59,600 --> 00:34:02,360 Speaker 1: There are some countries that, due to a number of 569 00:34:02,360 --> 00:34:07,040 Speaker 1: different circumstances, are incredibly dependent on their ability to import 570 00:34:07,120 --> 00:34:10,600 Speaker 1: and source goods and raw materials and food products from 571 00:34:10,640 --> 00:34:13,040 Speaker 1: other countries. You have a lot of African countries, for example, 572 00:34:13,120 --> 00:34:15,880 Speaker 1: that are going to face some pretty severe challenges with 573 00:34:15,960 --> 00:34:18,279 Speaker 1: results of the disruptions in the Black Sea from the 574 00:34:18,360 --> 00:34:21,440 Speaker 1: rush of Ukraine. Here in the US, our bigger challenges 575 00:34:21,719 --> 00:34:24,800 Speaker 1: is really going to come down to we have a 576 00:34:24,880 --> 00:34:28,799 Speaker 1: very high technology food and production and industrial base. We 577 00:34:28,840 --> 00:34:33,800 Speaker 1: rely more and more on consolidated farms and consolidated grain distribution, 578 00:34:33,840 --> 00:34:37,640 Speaker 1: consolidated food processors to turn these into you know, edible 579 00:34:37,680 --> 00:34:40,759 Speaker 1: food products, and that for us is going to be 580 00:34:40,800 --> 00:34:45,080 Speaker 1: the big challenges is the as the ability of these 581 00:34:45,600 --> 00:34:51,120 Speaker 1: mechanized industries to rely on software, rely on hardware and 582 00:34:51,160 --> 00:34:54,480 Speaker 1: components that that break that haven't been able to be 583 00:34:54,520 --> 00:34:57,360 Speaker 1: maintained for the last couple of years. It's you know, 584 00:34:57,400 --> 00:35:00,360 Speaker 1: we're already seeing it with some of these food production facilities, shoes, 585 00:35:00,840 --> 00:35:03,000 Speaker 1: We're seeing it with our you know, inability to export 586 00:35:03,040 --> 00:35:05,239 Speaker 1: some of these things here in the US. It's not 587 00:35:05,320 --> 00:35:09,000 Speaker 1: availability of grain, it's not availability of cows or chickens 588 00:35:09,040 --> 00:35:13,000 Speaker 1: or pigs. It's the ability to turn them into something 589 00:35:13,040 --> 00:35:15,920 Speaker 1: that can be bought at the retail level or exported 590 00:35:15,960 --> 00:35:18,880 Speaker 1: to the global market. A little bit different situation for 591 00:35:18,960 --> 00:35:22,880 Speaker 1: us than others. Ross, can you explain if look, I'm able, 592 00:35:23,000 --> 00:35:25,360 Speaker 1: I'm an idiot to take your time. Can you explain 593 00:35:26,120 --> 00:35:30,480 Speaker 1: why our food processing stuff is so consolidated in this country? 594 00:35:30,480 --> 00:35:33,880 Speaker 1: Because it doesn't make sense. It's such a geologically diverse country. 595 00:35:33,880 --> 00:35:36,640 Speaker 1: We're all over the place. He's growing fruit, he's growing weak. 596 00:35:36,840 --> 00:35:39,480 Speaker 1: It doesn't make sense that everything would get bottlenecked, and 597 00:35:39,560 --> 00:35:45,080 Speaker 1: yet everything is bottlenecked here. Why that's really come down to, 598 00:35:45,320 --> 00:35:48,400 Speaker 1: you know, industrial policy, political policy, tax policy in the 599 00:35:48,480 --> 00:35:51,080 Speaker 1: US over the last you know, forty to fifty years 600 00:35:51,160 --> 00:35:55,120 Speaker 1: has really favored conditions of consolidation in the industry you're 601 00:35:55,160 --> 00:35:58,879 Speaker 1: talking about, you know what used to be very regionalized. 602 00:35:58,960 --> 00:36:01,040 Speaker 1: You know, parts of the South grew certain kinds of 603 00:36:01,040 --> 00:36:03,080 Speaker 1: fruits and vegetables, parts of the West did the same. 604 00:36:03,400 --> 00:36:06,200 Speaker 1: The introduction of irrigation allowed parts of California to be 605 00:36:06,239 --> 00:36:08,719 Speaker 1: able to grow more, uh, you know, where the weather 606 00:36:08,800 --> 00:36:12,200 Speaker 1: was a little bit warmer, and then we grew you know, corn, soybeans, wheat, 607 00:36:12,239 --> 00:36:13,840 Speaker 1: things like that here in the you know, in the 608 00:36:13,840 --> 00:36:17,440 Speaker 1: mid in the Midwest, what's happening now is is it 609 00:36:17,480 --> 00:36:19,759 Speaker 1: got cheap enough to move things from A to B, 610 00:36:20,280 --> 00:36:22,880 Speaker 1: and so you started to you know, processors begin to 611 00:36:22,920 --> 00:36:27,000 Speaker 1: co locate where, not necessarily where the resources were most abundant, 612 00:36:27,040 --> 00:36:29,200 Speaker 1: where it made sense for them to be. You start 613 00:36:29,239 --> 00:36:30,880 Speaker 1: to see them move to where the tax regimes are 614 00:36:30,880 --> 00:36:34,480 Speaker 1: more favorable, or where federal policy said, hey, we should 615 00:36:34,920 --> 00:36:37,360 Speaker 1: favor this product, you know, in the case of corn, 616 00:36:37,440 --> 00:36:39,839 Speaker 1: let's turn it into fuel. So that means we need 617 00:36:39,840 --> 00:36:42,759 Speaker 1: to make things from other products elsewhere. And it's so 618 00:36:42,800 --> 00:36:45,279 Speaker 1: it's a mix of political and and sort of Wall 619 00:36:45,320 --> 00:36:48,279 Speaker 1: Street driven priorities that you know in our country has 620 00:36:48,280 --> 00:36:51,600 Speaker 1: eventually said, uh, you know, we don't know, we no 621 00:36:51,680 --> 00:36:54,960 Speaker 1: longer need a thousand independent industrial companies. Let's let's achieve 622 00:36:54,960 --> 00:36:58,040 Speaker 1: economies of scale from a food processing side and begin 623 00:36:58,080 --> 00:37:01,279 Speaker 1: to consolidate these down And as we've had depressions or 624 00:37:01,280 --> 00:37:04,480 Speaker 1: recessions over the last thirty to forty years, every time 625 00:37:04,520 --> 00:37:06,680 Speaker 1: that happens, you have a wave of consolidation where the 626 00:37:06,719 --> 00:37:09,840 Speaker 1: big eats the littles. And now we're in a situation 627 00:37:09,840 --> 00:37:12,960 Speaker 1: where you've got five or six major meatpacking companies, five 628 00:37:13,040 --> 00:37:16,360 Speaker 1: or six major industrial food processors, five or six major 629 00:37:16,520 --> 00:37:20,560 Speaker 1: you know grain and you know grain elevator and distribution companies, 630 00:37:20,600 --> 00:37:24,120 Speaker 1: and they all kind of work interdependently, you know, with 631 00:37:24,160 --> 00:37:26,640 Speaker 1: a pool of less than twenty companies essentially feeding our 632 00:37:26,680 --> 00:37:32,880 Speaker 1: whole country. That sounds ugly. My friend Gordon Chang, China expert, 633 00:37:32,960 --> 00:37:36,960 Speaker 1: he's out there saying he thinks China is attacking our 634 00:37:37,120 --> 00:37:40,120 Speaker 1: food supply. In what way would China be attacking our 635 00:37:40,120 --> 00:37:42,560 Speaker 1: food supplier? They're the ones flying planes into our food 636 00:37:42,560 --> 00:37:47,640 Speaker 1: processing plants. I don't know about that. That that is 637 00:37:47,680 --> 00:37:51,680 Speaker 1: a pretty interesting story, you know. The the interdependence that 638 00:37:51,760 --> 00:37:54,240 Speaker 1: the US and China have on one another is really 639 00:37:54,280 --> 00:38:00,000 Speaker 1: one of the probably most talked about but little understood stories. 640 00:38:00,160 --> 00:38:02,440 Speaker 1: You know, China has a significant influence in our own 641 00:38:02,480 --> 00:38:05,360 Speaker 1: supply chain here in the US. The large support processing 642 00:38:05,360 --> 00:38:07,839 Speaker 1: company in the US is Smithfield. It's actually owned by 643 00:38:07,960 --> 00:38:12,759 Speaker 1: wh Group, which is a massive Chinese enterprise. China does 644 00:38:12,800 --> 00:38:14,880 Speaker 1: own some amount of farmland in the US related to 645 00:38:14,920 --> 00:38:17,400 Speaker 1: their Smithfield acquisition and other ways they've been able to 646 00:38:17,440 --> 00:38:20,000 Speaker 1: acquire ground. But you know, I think what what mister 647 00:38:20,040 --> 00:38:23,359 Speaker 1: Chang is talking about there is that China, you know, 648 00:38:23,440 --> 00:38:27,239 Speaker 1: owns Cyngenta. It's one of the big six of you know, 649 00:38:27,400 --> 00:38:31,600 Speaker 1: retail chemical, fertilizer and seed uh, you know, research and 650 00:38:31,640 --> 00:38:34,480 Speaker 1: production that we utilize here in the US. Comparable with 651 00:38:34,560 --> 00:38:37,480 Speaker 1: you know, basf for uh, you know, with with the 652 00:38:37,520 --> 00:38:41,600 Speaker 1: daw DuPont combined entities. So that is one issue is 653 00:38:41,600 --> 00:38:43,160 Speaker 1: is that a lot of this research and things are 654 00:38:43,160 --> 00:38:45,920 Speaker 1: being done over there, and we have to import that knowledge. 655 00:38:45,920 --> 00:38:47,440 Speaker 1: We have to import the seed, We have to import 656 00:38:47,440 --> 00:38:50,239 Speaker 1: those chemicals here. A lot of generic chemicals that are 657 00:38:50,320 --> 00:38:52,520 Speaker 1: used in agricultural production, A lot of the chemicals that 658 00:38:52,560 --> 00:38:55,800 Speaker 1: are used in food production are made in China. China 659 00:38:55,880 --> 00:38:59,000 Speaker 1: is also an enormous consumer of chemicals and fertilizers for 660 00:38:59,080 --> 00:39:02,840 Speaker 1: its own agricultural production. And so when it puts a 661 00:39:02,840 --> 00:39:04,560 Speaker 1: finger on the scale and says we're not going to 662 00:39:04,640 --> 00:39:07,319 Speaker 1: export a certain amount or we're going to import and 663 00:39:07,400 --> 00:39:12,320 Speaker 1: stockpile believe US market for US to be able to 664 00:39:12,400 --> 00:39:14,960 Speaker 1: use as we need to. You also have the issue. 665 00:39:15,080 --> 00:39:20,640 Speaker 1: You know that there are significant industrial cybersecurity vulnerabilities up 666 00:39:20,680 --> 00:39:22,960 Speaker 1: and down the food supply chain worldwide, not just in 667 00:39:23,000 --> 00:39:26,360 Speaker 1: the US, but in China and Russia, in Europe, in Brazil. 668 00:39:27,160 --> 00:39:30,959 Speaker 1: And if you were so inclined, there certainly is those 669 00:39:31,200 --> 00:39:34,560 Speaker 1: gaps that you could begin to create some chaos and 670 00:39:34,600 --> 00:39:38,399 Speaker 1: disruption in food supply chains by targeting certain facilities or 671 00:39:39,080 --> 00:39:42,200 Speaker 1: causing you know, causing mayhem a little bit in the 672 00:39:42,320 --> 00:39:45,840 Speaker 1: ranks through you know, through cyberspnage activities. So there's a 673 00:39:45,880 --> 00:39:48,320 Speaker 1: lot of vectors that China could potentially be causing trouble 674 00:39:48,360 --> 00:39:52,279 Speaker 1: with US, and it's certainly a national security mandate that 675 00:39:52,360 --> 00:39:55,759 Speaker 1: we increase and then sort of fortify across the whole 676 00:39:55,760 --> 00:40:01,360 Speaker 1: food supply chain. These systems and these resources. The ross inflation, 677 00:40:01,520 --> 00:40:03,799 Speaker 1: Now everyone knows the bulk, well, I shouldn't say that 678 00:40:03,840 --> 00:40:06,080 Speaker 1: every person with a brain knows the bulk of an inflation. 679 00:40:06,280 --> 00:40:09,880 Speaker 1: We're feeling it because of our idiotic covid lockdown insanity. 680 00:40:09,960 --> 00:40:11,520 Speaker 1: But we're not going to go into that right now. 681 00:40:11,880 --> 00:40:14,400 Speaker 1: We are going to experience more and more of it 682 00:40:14,440 --> 00:40:20,200 Speaker 1: because of this Russia Ukraine nonsense, aren't we Yeah? Absolutely, 683 00:40:20,320 --> 00:40:22,480 Speaker 1: you know it's there was a little bit of a 684 00:40:22,560 --> 00:40:25,160 Speaker 1: viral thread that running went around Twitter about hey, don't 685 00:40:25,160 --> 00:40:28,560 Speaker 1: worry about global wheat supplies. You know, we're talking about 686 00:40:28,640 --> 00:40:31,800 Speaker 1: exports being limited, but as a percentage of total global production, 687 00:40:32,520 --> 00:40:34,799 Speaker 1: it's not that much. Well, the issue is here in 688 00:40:34,800 --> 00:40:39,200 Speaker 1: the US, we're expecting that droughty conditions and major wheat 689 00:40:39,239 --> 00:40:42,120 Speaker 1: producing areas is going to wipe out a significant chunk 690 00:40:42,120 --> 00:40:44,080 Speaker 1: of what we expected to yield of the winter wheat. 691 00:40:44,640 --> 00:40:47,640 Speaker 1: We're seeing some drought conditions for spring wheat. And in 692 00:40:47,719 --> 00:40:50,000 Speaker 1: Russia and Ukraine, you know, obviously you have a country 693 00:40:50,000 --> 00:40:53,919 Speaker 1: that's being torn apart by war right now, so they're 694 00:40:53,920 --> 00:40:55,319 Speaker 1: not going to be able to harvest as much as 695 00:40:55,320 --> 00:40:58,720 Speaker 1: the winter wheat, which is the primary primary growing season 696 00:40:58,760 --> 00:41:01,279 Speaker 1: for their wheat crop and rain. And in southern Russia 697 00:41:01,520 --> 00:41:04,520 Speaker 1: you're also seeing corn, which is that is a major 698 00:41:04,560 --> 00:41:06,920 Speaker 1: corn producing region. They're not going to be able to 699 00:41:06,960 --> 00:41:09,200 Speaker 1: produce as much corn. Spring planting is going to be 700 00:41:09,200 --> 00:41:11,959 Speaker 1: heavily disrupted. And even if you can get the winter 701 00:41:11,960 --> 00:41:14,080 Speaker 1: weed out of the ground and the spring corn and 702 00:41:14,120 --> 00:41:17,480 Speaker 1: the spring week planted for harvest in September, October November, 703 00:41:17,880 --> 00:41:20,760 Speaker 1: there's a very high likelihood that the ability to export 704 00:41:20,800 --> 00:41:24,279 Speaker 1: that material out of Ukraine is going to be significantly 705 00:41:24,320 --> 00:41:26,600 Speaker 1: impacted due to all of the issues in the Black Sea, 706 00:41:27,040 --> 00:41:30,320 Speaker 1: naval warfare, whatever it may be. You know, the challenges 707 00:41:30,320 --> 00:41:32,520 Speaker 1: are not going away, and there are a number of countries, 708 00:41:32,600 --> 00:41:35,839 Speaker 1: China included, that really depends on the production of that 709 00:41:35,920 --> 00:41:38,879 Speaker 1: region to be able to help their own industrial food 710 00:41:38,880 --> 00:41:41,880 Speaker 1: and feed supply chains. So the tail on this, the 711 00:41:41,920 --> 00:41:43,879 Speaker 1: rush of Ukraine war is going to be much much 712 00:41:43,920 --> 00:41:47,719 Speaker 1: longer as far as global food supplies than just you know, 713 00:41:47,760 --> 00:41:49,920 Speaker 1: the next two, three, four or five months, however long 714 00:41:49,960 --> 00:41:54,959 Speaker 1: this war lasts. Ross Kennedy, that was outstanding, brother, Please 715 00:41:54,960 --> 00:42:00,359 Speaker 1: come back soon. Thank you, Jesse, appreciate it, Sir man, 716 00:42:01,000 --> 00:42:03,640 Speaker 1: I feel so much smarter. That was awesome. All right. 717 00:42:04,239 --> 00:42:06,239 Speaker 1: We got light in the mood coming up next. And 718 00:42:06,640 --> 00:42:09,040 Speaker 1: I don't care who you are. You could be the 719 00:42:09,080 --> 00:42:11,719 Speaker 1: most cold hearted jerk in the world like me. This 720 00:42:11,760 --> 00:42:23,120 Speaker 1: will put a smile on your face. Hang on. All right, 721 00:42:23,760 --> 00:42:28,040 Speaker 1: it's time to lighten the mood. And you know, I'm 722 00:42:28,080 --> 00:42:30,200 Speaker 1: not a big pet guy. To put it mildly, I'm 723 00:42:30,239 --> 00:42:35,319 Speaker 1: not a pet guy. The kids wanted a dog. They 724 00:42:35,400 --> 00:42:37,400 Speaker 1: were asking for dog and asking for a dog, and 725 00:42:37,440 --> 00:42:39,480 Speaker 1: I grew up with dogs. I'm not anti dog. Dogs 726 00:42:39,480 --> 00:42:42,759 Speaker 1: certainly the superior of all pets. But finally we got 727 00:42:42,760 --> 00:42:45,960 Speaker 1: a dog a little over a year ago. And I'm 728 00:42:46,000 --> 00:42:50,040 Speaker 1: embarrassed to say I love the dumb dog. Okay, I 729 00:42:50,040 --> 00:42:51,959 Speaker 1: can't help it. I get home and the dog's throwing 730 00:42:52,000 --> 00:42:54,600 Speaker 1: him himself and throwing himself on me like I haven't 731 00:42:54,600 --> 00:42:56,640 Speaker 1: be like I haven't been there in years. When I 732 00:42:56,719 --> 00:42:58,759 Speaker 1: walk around, he's right there with me. When I sit down, 733 00:42:58,840 --> 00:43:01,319 Speaker 1: he comes up to me. I love the dumb dog. 734 00:43:01,719 --> 00:43:05,080 Speaker 1: All right. Dogs are awesome. So this video is awesome. 735 00:43:24,160 --> 00:43:42,520 Speaker 1: Way do you get a little lu and it fiddle 736 00:43:42,560 --> 00:43:50,880 Speaker 1: the child? That was awesome? See, I told you love it? 737 00:43:51,360 --> 00:43:52,880 Speaker 1: All right, let's see them all