1 00:00:01,639 --> 00:00:04,920 Speaker 1: You're listening to the Buck Sexton Shoe Podcast. Make sure 2 00:00:04,920 --> 00:00:07,960 Speaker 1: you subscribe to the podcast on the iHeartRadio X or 3 00:00:07,960 --> 00:00:11,200 Speaker 1: wherever you get your podcasts. It's going on Team Bock. 4 00:00:11,280 --> 00:00:15,760 Speaker 1: Mike's later filling it for Buck Sexton. You're thinking again, geez, 5 00:00:16,680 --> 00:00:20,480 Speaker 1: when's back coming back? I'll be back on Wednesday, so 6 00:00:21,000 --> 00:00:23,799 Speaker 1: have no fear, he'll be here very soon. Coming up 7 00:00:23,800 --> 00:00:28,000 Speaker 1: in this hour, we're gonna talk about Little nas X 8 00:00:28,400 --> 00:00:32,839 Speaker 1: his shoes, Little nos X's shoes. Listen, I care as 9 00:00:32,840 --> 00:00:35,479 Speaker 1: little as you do, but there's actually something noteworthy here 10 00:00:35,520 --> 00:00:37,960 Speaker 1: that we must discuss. Um. I never thought I would 11 00:00:38,000 --> 00:00:41,159 Speaker 1: ever talk about Little nas X's shoes or ever say 12 00:00:41,200 --> 00:00:43,720 Speaker 1: the words little nas X, but it will makes sense. 13 00:00:44,240 --> 00:00:46,920 Speaker 1: And a minute here also latest with the border and 14 00:00:47,680 --> 00:00:50,080 Speaker 1: a story which is exactly what we talked about on 15 00:00:50,080 --> 00:00:52,480 Speaker 1: Friday show. But coming out, I want to talk about 16 00:00:52,560 --> 00:00:55,200 Speaker 1: SPH two O two I believe it, s B two 17 00:00:55,240 --> 00:00:58,040 Speaker 1: O two I think, which is the Georgia election law, yes, 18 00:00:58,120 --> 00:01:00,640 Speaker 1: B two two, And they're just straight buying to you 19 00:01:00,720 --> 00:01:03,959 Speaker 1: about it, just in your face, blatant lyne So we'll 20 00:01:04,000 --> 00:01:06,280 Speaker 1: talk about that all coming to next. But first let 21 00:01:06,520 --> 00:01:11,759 Speaker 1: you know big tech and they're the worst. So how 22 00:01:11,760 --> 00:01:15,200 Speaker 1: do we get around it? Express vpn? Right, how do 23 00:01:15,280 --> 00:01:18,240 Speaker 1: how do they make their money? How does Facebook? Twitter, 24 00:01:18,360 --> 00:01:20,479 Speaker 1: Instagram all the rest? How do they make their money? 25 00:01:20,959 --> 00:01:23,240 Speaker 1: They make am tracking you, they follow you, and then 26 00:01:23,240 --> 00:01:26,039 Speaker 1: they sell it. They sell your data, they sell your information. 27 00:01:26,840 --> 00:01:30,720 Speaker 1: That's how they exist. Right. I'll never forget when Zuckerberg 28 00:01:32,080 --> 00:01:34,480 Speaker 1: testified or whatever and he's like, oh, no, we don't 29 00:01:34,480 --> 00:01:37,240 Speaker 1: track and follow people. It's like, no, that's your business model. 30 00:01:38,240 --> 00:01:40,600 Speaker 1: But what I mean you don't do? That's all you do. 31 00:01:41,120 --> 00:01:43,800 Speaker 1: So Express vpn can get you around then right, hide 32 00:01:43,840 --> 00:01:47,160 Speaker 1: your IP address so they can't trace, and you're what 33 00:01:47,280 --> 00:01:50,040 Speaker 1: you do and then sell you to advertisers. Super easy 34 00:01:50,040 --> 00:01:52,760 Speaker 1: to set up and also works on your phone as well. 35 00:01:52,800 --> 00:01:56,160 Speaker 1: Express vpn dot com slash buck and you got the 36 00:01:56,200 --> 00:01:58,400 Speaker 1: special link there will give you three extra months of 37 00:01:58,440 --> 00:02:03,400 Speaker 1: Express VP and service Press vpn dot com slash buck 38 00:02:03,480 --> 00:02:06,760 Speaker 1: and protect your data. Today. It's going on Team Buck. 39 00:02:06,880 --> 00:02:09,520 Speaker 1: Mike Slater here from San Diego filling it for Buck 40 00:02:09,560 --> 00:02:15,720 Speaker 1: and you're like, oh, let's Buck coming back Wednesday. I'll 41 00:02:15,720 --> 00:02:20,160 Speaker 1: be back on Wednesday. But yeah, great, nice to see 42 00:02:20,200 --> 00:02:23,120 Speaker 1: you too. Listen, I am as disappointed as you I'm 43 00:02:23,160 --> 00:02:26,840 Speaker 1: never every time I tune into my favorite host and 44 00:02:26,960 --> 00:02:32,080 Speaker 1: he's not there, I'm feeling just like you are right now, Alas, 45 00:02:32,520 --> 00:02:34,280 Speaker 1: I'm the best you got right now. So let's do 46 00:02:34,320 --> 00:02:36,880 Speaker 1: it together. Today. We're gonna talk about little Nonzex's shoes. 47 00:02:37,000 --> 00:02:38,840 Speaker 1: We've got some border stuff. We've got a ton of 48 00:02:38,880 --> 00:02:40,720 Speaker 1: stuff today. Actually that's all coming up in this hour. 49 00:02:40,760 --> 00:02:44,240 Speaker 1: But I gotta start here because blatant lying to your 50 00:02:44,400 --> 00:02:50,760 Speaker 1: face bothers me talking about George's sp two o two. 51 00:02:50,840 --> 00:02:53,440 Speaker 1: This is the new Jim Crow law, Jim Crow two 52 00:02:53,480 --> 00:02:57,880 Speaker 1: point zero Jim Eagle, as Biden oddly called in in 53 00:02:57,960 --> 00:03:01,160 Speaker 1: his press conference. That now, just to set the stage 54 00:03:01,160 --> 00:03:05,280 Speaker 1: with the absolute hysteria that the left is painting this as, 55 00:03:06,240 --> 00:03:08,240 Speaker 1: I want to play this clip from Joy Red now 56 00:03:08,919 --> 00:03:11,359 Speaker 1: have a I make it a practice of not playing 57 00:03:11,360 --> 00:03:14,440 Speaker 1: clips from MSNBC. But I only want to play this 58 00:03:14,520 --> 00:03:17,400 Speaker 1: here because this is a perfect example in forty seconds, 59 00:03:17,760 --> 00:03:21,840 Speaker 1: very concise example of how Georgia's voting reform law is 60 00:03:21,880 --> 00:03:25,760 Speaker 1: being characterized by the media and by the President himself. 61 00:03:25,919 --> 00:03:28,639 Speaker 1: He called it sick. He said, this law is sick 62 00:03:29,200 --> 00:03:34,679 Speaker 1: and pernicious, all right, So this is also a warning 63 00:03:34,880 --> 00:03:39,200 Speaker 1: to any other state that Dare has the gall to 64 00:03:39,360 --> 00:03:42,960 Speaker 1: reform their voting system. All right, So if you're in 65 00:03:43,480 --> 00:03:48,839 Speaker 1: whatever Tennessee, Florida, or whatever, any other red state, if 66 00:03:48,920 --> 00:03:53,400 Speaker 1: you dare try to shore up your voting system, you're 67 00:03:53,400 --> 00:03:55,480 Speaker 1: going to get the same treatment that George is getting 68 00:03:55,520 --> 00:03:57,640 Speaker 1: right now here. It is. Let's just be clear for 69 00:03:57,680 --> 00:04:00,480 Speaker 1: everybody who's watching this right now, what repel books are 70 00:04:00,520 --> 00:04:02,160 Speaker 1: saying is they're going to make a torture for you 71 00:04:02,240 --> 00:04:06,120 Speaker 1: to vote in line by having fewer machines, beat up machines, 72 00:04:06,280 --> 00:04:09,360 Speaker 1: places where in urban centers, places where black folks live, 73 00:04:09,400 --> 00:04:12,360 Speaker 1: suburbs where black people live, make it impossible or torture 74 00:04:12,360 --> 00:04:14,320 Speaker 1: for you to vote in line. And then they're gonna 75 00:04:14,360 --> 00:04:16,520 Speaker 1: make it impossible for you to vote by mail. They're 76 00:04:16,560 --> 00:04:18,600 Speaker 1: gonna lock off every way that you can vote. And 77 00:04:18,640 --> 00:04:22,159 Speaker 1: then even if you survive all of those restrictions and 78 00:04:22,200 --> 00:04:24,720 Speaker 1: you finally get your vote in, then they're gonna say, 79 00:04:25,160 --> 00:04:27,320 Speaker 1: ways out, we're just not going to count what you 80 00:04:27,360 --> 00:04:29,240 Speaker 1: did because we don't like who you voted for, so 81 00:04:29,279 --> 00:04:30,520 Speaker 1: we're just going to give it to the other guy. 82 00:04:30,600 --> 00:04:33,880 Speaker 1: This is the end of democracy in America. This is 83 00:04:33,920 --> 00:04:36,640 Speaker 1: the beginning of the South. The South Africa strategy. This 84 00:04:36,720 --> 00:04:39,920 Speaker 1: is minority rule. This is saying we will rule over 85 00:04:40,040 --> 00:04:42,280 Speaker 1: the objections of the majority of American people. This is 86 00:04:42,320 --> 00:04:44,640 Speaker 1: the most serious thing that we've seen happen since the 87 00:04:44,720 --> 00:04:46,760 Speaker 1: January sixth siege. It's another kind of siege. It is 88 00:04:46,760 --> 00:04:49,880 Speaker 1: absolutely bizarre, and it is I will say, it's not American. 89 00:04:49,920 --> 00:04:52,520 Speaker 1: It's probably kind of in a way. It's old school 90 00:04:52,520 --> 00:04:58,839 Speaker 1: American and Jim Crow American town. Oh, absolute hysterical torture. 91 00:04:58,960 --> 00:05:05,120 Speaker 1: It's torturing you while you stand in line. Have you 92 00:05:05,160 --> 00:05:08,880 Speaker 1: heard this. They're making it illegal to drink water. Can 93 00:05:08,920 --> 00:05:11,600 Speaker 1: you believe that they made it illegal to drink water 94 00:05:12,440 --> 00:05:15,200 Speaker 1: while you're standing in line to vote. It's absolute torture. 95 00:05:15,240 --> 00:05:17,400 Speaker 1: This is from the hill. Georgia law makes it a 96 00:05:17,480 --> 00:05:21,919 Speaker 1: crime to give food and water to people waiting to vote. 97 00:05:22,400 --> 00:05:26,000 Speaker 1: Joe Biden said, it's an atrocity. You can't provide water 98 00:05:26,360 --> 00:05:30,480 Speaker 1: to people standing online and waiting to vote. We don't 99 00:05:30,480 --> 00:05:33,599 Speaker 1: need anything, we don't need anything else to know that 100 00:05:33,600 --> 00:05:37,480 Speaker 1: this is nothing but punitive and designed to keep people 101 00:05:37,640 --> 00:05:42,440 Speaker 1: from voting. Insane. It does none of those things. Brilliant marketing, 102 00:05:42,480 --> 00:05:44,840 Speaker 1: by the way, let's just take a quick aside come 103 00:05:44,880 --> 00:05:48,520 Speaker 1: around of applause for wonderful marketing. Here wonderful spin but 104 00:05:49,200 --> 00:05:54,640 Speaker 1: straight lies. My favorite response to all this is someone 105 00:05:54,760 --> 00:05:58,160 Speaker 1: quoting Matthew twenty five thirty five. I was hungry and 106 00:05:58,240 --> 00:06:00,800 Speaker 1: you gave me something to eat. I was thirsty and 107 00:06:00,920 --> 00:06:02,600 Speaker 1: you gave me something to drink. I love it when 108 00:06:02,600 --> 00:06:07,520 Speaker 1: people use the Bible as chaff. That's great, you know 109 00:06:07,640 --> 00:06:10,760 Speaker 1: chaff right, Like like a fighter jet is flying in 110 00:06:10,800 --> 00:06:13,200 Speaker 1: a missiles headed its way. The pilotle dropped chaff behind it, 111 00:06:13,279 --> 00:06:15,360 Speaker 1: these little tiny pieces of aluminum, and it confuses the 112 00:06:15,440 --> 00:06:17,320 Speaker 1: radar and the missile doesn't know where the jet is anymore. 113 00:06:18,560 --> 00:06:20,839 Speaker 1: That's what the people who quote the Bible, there's throw 114 00:06:20,880 --> 00:06:25,920 Speaker 1: at these Bible verses on political issues like this. So 115 00:06:25,960 --> 00:06:28,599 Speaker 1: it's not the holy Word of God, it's it's Bible 116 00:06:28,680 --> 00:06:33,000 Speaker 1: as chaff to win a political argument by distracting people 117 00:06:33,000 --> 00:06:39,920 Speaker 1: away from the real issue itself. Oh, you're against Jesus. No, 118 00:06:41,160 --> 00:06:43,919 Speaker 1: what are you even talking about? All right, here's what 119 00:06:44,000 --> 00:06:46,560 Speaker 1: the Georgia Bill does. You're ready, We're gonna quote its 120 00:06:46,720 --> 00:06:54,640 Speaker 1: two two. No person shall solicit votes, or distribute or 121 00:06:54,680 --> 00:06:59,359 Speaker 1: display any campaign material. Nor shall any person give, offer 122 00:06:59,400 --> 00:07:02,360 Speaker 1: to give, or prettipating the giving of any money or gifts, 123 00:07:02,400 --> 00:07:06,120 Speaker 1: including but not limited to food and drink to a voter. 124 00:07:07,760 --> 00:07:10,760 Speaker 1: That's that you can't drink while in line. This code 125 00:07:10,800 --> 00:07:14,480 Speaker 1: section shall not be construed to prohibit a pole officer 126 00:07:15,000 --> 00:07:19,040 Speaker 1: from making available self service water from an unattended receptacle 127 00:07:19,240 --> 00:07:22,880 Speaker 1: to a voter waiting in line to vote. So here's 128 00:07:22,880 --> 00:07:25,360 Speaker 1: the truth. As they say this is torture and you're 129 00:07:25,400 --> 00:07:28,840 Speaker 1: not allowed to drink, the truth is one, you can 130 00:07:28,920 --> 00:07:32,760 Speaker 1: still bring your own water, which is not that hard 131 00:07:32,800 --> 00:07:38,720 Speaker 1: to access in America. You can still order food while 132 00:07:38,760 --> 00:07:42,040 Speaker 1: the line. Like you can order food. You call up Dominoes, 133 00:07:42,080 --> 00:07:44,080 Speaker 1: you call up door Dash, you get whatever you want. 134 00:07:44,080 --> 00:07:45,640 Speaker 1: You can have food delivered to you while you wait 135 00:07:45,680 --> 00:07:50,160 Speaker 1: in line. Or if there's an entrepreneurial chap selling hot 136 00:07:50,200 --> 00:07:55,600 Speaker 1: dogs outside, you can do that. Someone selling hot dogs, 137 00:07:55,600 --> 00:07:58,160 Speaker 1: someone selling hamburgers, whatever, You can go buy yourself a 138 00:07:58,160 --> 00:08:02,119 Speaker 1: hot dog while standing in line, no problama whatsoever. If 139 00:08:02,160 --> 00:08:05,000 Speaker 1: you feel compelled to donate food or water to people 140 00:08:05,040 --> 00:08:07,200 Speaker 1: who are standing in line to vote, you can do 141 00:08:07,280 --> 00:08:09,760 Speaker 1: that too. You just first have to give it to 142 00:08:09,760 --> 00:08:11,520 Speaker 1: a poll worker so that they can put it out 143 00:08:11,560 --> 00:08:15,960 Speaker 1: for general use. So all those things are still allowed. 144 00:08:16,360 --> 00:08:21,360 Speaker 1: What this prevents is someone passing out water with Joe 145 00:08:21,440 --> 00:08:27,680 Speaker 1: Biden labels on it. What this prevents, as Dan McLaughlin 146 00:08:27,760 --> 00:08:30,640 Speaker 1: put it, is someone wearing an NRA T shirt and 147 00:08:30,720 --> 00:08:37,000 Speaker 1: MAGA hat handing out Coke brother financed pizza to everyone 148 00:08:37,040 --> 00:08:39,880 Speaker 1: in line. Vote for Biden, vote for Trump, vote for 149 00:08:39,920 --> 00:08:41,959 Speaker 1: this person. Here's some pizza. You can't do that. That's 150 00:08:42,000 --> 00:08:49,479 Speaker 1: called electioneering. That's been against the law for one hundred years. 151 00:08:49,280 --> 00:08:51,720 Speaker 1: It's preventing people from saying, hey, you want some water, 152 00:08:51,920 --> 00:08:55,240 Speaker 1: vote for Biden. Biden giving you water like that's what 153 00:08:55,360 --> 00:08:59,400 Speaker 1: it's preventing. This is a very normal law. There's nothing 154 00:08:59,679 --> 00:09:04,200 Speaker 1: Every state has it, and no one dies of thirst, 155 00:09:04,760 --> 00:09:07,720 Speaker 1: not a single person. Like. One thing with moral panics 156 00:09:07,800 --> 00:09:10,160 Speaker 1: is they're usually based off of a kernel of truth. 157 00:09:10,320 --> 00:09:12,559 Speaker 1: Remember I think on Thursday we were filling in for 158 00:09:12,600 --> 00:09:15,640 Speaker 1: Buck and we talked about the four steps of a 159 00:09:15,640 --> 00:09:18,920 Speaker 1: moral panic, and the first step is something happens. That's 160 00:09:19,080 --> 00:09:21,360 Speaker 1: that's the first step of a moral panic. There's at 161 00:09:21,400 --> 00:09:24,280 Speaker 1: least some semblance in truth, there's something that happened that 162 00:09:24,320 --> 00:09:26,960 Speaker 1: caused the moral In this case, it's it's based off nothing. 163 00:09:27,080 --> 00:09:29,440 Speaker 1: No one's ever died of thirst while in line voting, 164 00:09:30,000 --> 00:09:33,360 Speaker 1: waiting to vote. It's never happened one time ever, and 165 00:09:33,400 --> 00:09:36,640 Speaker 1: it won't happen in Georgia. It's not torturous. You can 166 00:09:36,720 --> 00:09:42,200 Speaker 1: still get water. This is a very normal law. Minnesota 167 00:09:42,280 --> 00:09:44,640 Speaker 1: has a has a pretty strict flat out band. It 168 00:09:44,679 --> 00:09:48,160 Speaker 1: says no one except an election official or an individual 169 00:09:48,160 --> 00:09:51,679 Speaker 1: who's waiting to register to vote, or someone conducting X 170 00:09:51,720 --> 00:09:53,960 Speaker 1: and polling shall stand within one hundred feet of the 171 00:09:54,000 --> 00:09:56,360 Speaker 1: building in which a polling place is located. So in 172 00:09:56,360 --> 00:09:59,400 Speaker 1: that case, the hot dog vendor can't even be there. 173 00:10:00,360 --> 00:10:02,120 Speaker 1: That law went all the way up to the Supreme 174 00:10:02,160 --> 00:10:06,000 Speaker 1: Court in twenty eighteen, specifically the aspect of the Minnesota 175 00:10:06,080 --> 00:10:09,480 Speaker 1: law that banned people from wearing buttons or t shirts 176 00:10:09,559 --> 00:10:11,880 Speaker 1: of their candidates when they went to vote, and the 177 00:10:11,920 --> 00:10:14,040 Speaker 1: Supreme Court upheld. The law of the Supreme Court said, 178 00:10:14,200 --> 00:10:18,400 Speaker 1: casting a vote is a weighty civic act. It is 179 00:10:18,400 --> 00:10:22,000 Speaker 1: a time for choosing, not campaigning, and the state may 180 00:10:22,040 --> 00:10:25,560 Speaker 1: reasonably decide that the interior of the polling place should 181 00:10:25,640 --> 00:10:28,760 Speaker 1: reflect that distinction. And the same is true while standing 182 00:10:28,760 --> 00:10:31,080 Speaker 1: a line. You can't have any electioneering while it's going on. 183 00:10:31,679 --> 00:10:35,240 Speaker 1: New York, the state that Joy Reed lives in has 184 00:10:35,280 --> 00:10:37,760 Speaker 1: the same law. It says you can't hand out food 185 00:10:37,840 --> 00:10:41,240 Speaker 1: or drink meat or tobacco. Joe Biden's home state of 186 00:10:41,360 --> 00:10:45,400 Speaker 1: Delaware has the exact same law. Is that a racist state? 187 00:10:45,679 --> 00:10:49,240 Speaker 1: Are there people dying while voting? Standing? Line that die? 188 00:10:49,400 --> 00:10:55,080 Speaker 1: It's tortuous And Joe Biden's home state jeez, nineteen ninety eight, 189 00:10:55,280 --> 00:10:57,800 Speaker 1: there's a case that went to the Supreme Court of 190 00:10:57,840 --> 00:11:02,560 Speaker 1: Kentucky and a guy won by eight votes. I don't 191 00:11:02,559 --> 00:11:04,079 Speaker 1: know what the race was for, but he won by 192 00:11:04,080 --> 00:11:07,800 Speaker 1: eight votes. And the judge that the Supreme Court throughout 193 00:11:07,840 --> 00:11:12,360 Speaker 1: the results because it was proven that he was handing 194 00:11:12,360 --> 00:11:15,959 Speaker 1: out food and glad handing within five hundred feet of 195 00:11:16,000 --> 00:11:18,839 Speaker 1: the building where people were casting votes. And the Supreme 196 00:11:18,880 --> 00:11:21,200 Speaker 1: Court said you can't do that, and they overturned the 197 00:11:21,240 --> 00:11:24,839 Speaker 1: election results because of it. You wouldn't be so this 198 00:11:25,000 --> 00:11:29,120 Speaker 1: whole the evil Republicans Jim Crow two point. Now it's 199 00:11:29,120 --> 00:11:32,960 Speaker 1: even worse. They won't even let you drink water while standing. 200 00:11:32,960 --> 00:11:38,320 Speaker 1: And that is a complete lie and they know it. 201 00:11:38,400 --> 00:11:41,200 Speaker 1: They must know it. But the best part of this 202 00:11:41,280 --> 00:11:45,080 Speaker 1: bill for me, the entire premise is that you know 203 00:11:45,160 --> 00:11:48,040 Speaker 1: Joy readset She said, Republicans want fewer machines and longer 204 00:11:48,080 --> 00:11:51,679 Speaker 1: lines to torture you. So, first of all, longer lines 205 00:11:51,720 --> 00:11:54,240 Speaker 1: for voting usually happened in urban areas which are controlled 206 00:11:54,240 --> 00:11:57,280 Speaker 1: by Democrats. Okay, it's not exactly in the Republican strongholds. 207 00:11:57,320 --> 00:12:00,160 Speaker 1: The Republican bastions. Are they preventing black people from voting? Right? 208 00:12:00,160 --> 00:12:04,240 Speaker 1: These are in the Democrat precincts. The law says if 209 00:12:04,320 --> 00:12:07,480 Speaker 1: in the previous election there were lines that lasted longer 210 00:12:07,520 --> 00:12:12,640 Speaker 1: than an hour, the state can override local control and 211 00:12:12,760 --> 00:12:15,760 Speaker 1: do one of three things. They can add more voting precincts, 212 00:12:15,760 --> 00:12:20,120 Speaker 1: more voting locations, they can add more machines, or they 213 00:12:20,120 --> 00:12:25,280 Speaker 1: can add more poll workers. Why to decrease the length 214 00:12:25,320 --> 00:12:32,360 Speaker 1: of the line. That's what the evil Republican bill is doing. 215 00:12:32,679 --> 00:12:39,360 Speaker 1: They're seeking to decrease the lines, Shorter lines, less waiting 216 00:12:39,400 --> 00:12:47,200 Speaker 1: in line, and they're criticized for being racists. So this 217 00:12:47,280 --> 00:12:50,240 Speaker 1: bill seeks to end electioneering when people are waiting in 218 00:12:50,280 --> 00:12:54,800 Speaker 1: line by one outlong electioneering and two eliminating lines. This 219 00:12:55,000 --> 00:12:57,720 Speaker 1: is amazing how much they can just flat out lie 220 00:12:57,800 --> 00:13:01,080 Speaker 1: to you, and the media provides the cover fire and 221 00:13:01,200 --> 00:13:07,239 Speaker 1: people fall for it. Mike Slater, Mikes later out locals 222 00:13:07,280 --> 00:13:09,600 Speaker 1: dot com. I'll put some information on our website Mikes later, 223 00:13:09,679 --> 00:13:12,640 Speaker 1: dot locals dot com so you can read it and 224 00:13:12,679 --> 00:13:16,840 Speaker 1: share that. Please share the truth. Mikes later dot locals 225 00:13:16,880 --> 00:13:19,199 Speaker 1: dot com. S bro the word Hey teen Buck Mikes later, 226 00:13:19,200 --> 00:13:21,840 Speaker 1: filing it for Buck Sexton. Buck's gonna be back on Wednesday. 227 00:13:21,880 --> 00:13:26,720 Speaker 1: Have no fear. So we talked on Friday Shoe and 228 00:13:27,360 --> 00:13:31,160 Speaker 1: it was super down or segment, but told the truth 229 00:13:31,360 --> 00:13:34,000 Speaker 1: of what happens at our border when it comes to 230 00:13:34,040 --> 00:13:38,840 Speaker 1: sex trafficking that the people who supposedly care about the 231 00:13:38,840 --> 00:13:43,079 Speaker 1: people coming across the border never talk about. And it's 232 00:13:43,120 --> 00:13:45,080 Speaker 1: one of the main reasons, if not the main reason, 233 00:13:45,160 --> 00:13:47,760 Speaker 1: why I am for closing down the border and streamlining 234 00:13:47,800 --> 00:13:52,320 Speaker 1: the legal process to prevent I am generally four things 235 00:13:52,400 --> 00:13:56,200 Speaker 1: that the drug cartels are against. So I'm first shutting 236 00:13:56,200 --> 00:13:59,000 Speaker 1: down the border. Drug cartels hate that. Human sex trafficking 237 00:13:59,000 --> 00:14:01,480 Speaker 1: cartels hate that. Therefore I like that. I think that's 238 00:14:01,480 --> 00:14:06,160 Speaker 1: a pretty probably going to be right on track. If 239 00:14:06,200 --> 00:14:09,400 Speaker 1: the drug cartels are against it, therefore you should be 240 00:14:09,400 --> 00:14:11,559 Speaker 1: for So we talked about this on Friday, and here 241 00:14:11,559 --> 00:14:14,280 Speaker 1: we go New York Times. Nine year old migrant girl 242 00:14:14,480 --> 00:14:18,280 Speaker 1: dies trying to cross the Real Grand into US. The 243 00:14:18,360 --> 00:14:21,000 Speaker 1: girl was found unconscious on an island on the Mexican 244 00:14:21,000 --> 00:14:22,920 Speaker 1: side of the river near the Texas border, could not 245 00:14:22,960 --> 00:14:26,000 Speaker 1: be revived. We've said for years, you need to shut 246 00:14:26,000 --> 00:14:28,040 Speaker 1: down the border so you can stop enriching the drug 247 00:14:28,080 --> 00:14:31,600 Speaker 1: cartels and for the safety of the people who are 248 00:14:31,600 --> 00:14:34,560 Speaker 1: making this incredibly dangerous journey. The people who are for 249 00:14:34,680 --> 00:14:36,440 Speaker 1: open borders, they don't know what it's like. They just 250 00:14:36,560 --> 00:14:38,920 Speaker 1: imagine you just hop skip over the border and here 251 00:14:38,960 --> 00:14:42,040 Speaker 1: you are, and it's hunky dorian, safe and sound. In 252 00:14:42,080 --> 00:14:45,760 Speaker 1: this case, there was a mom and three kids. A 253 00:14:45,880 --> 00:14:48,680 Speaker 1: rescue call came to the US Border Patrol, which is 254 00:14:48,720 --> 00:14:51,800 Speaker 1: pretty amazing, right that the US Border Patrol sprung to action. 255 00:14:52,200 --> 00:14:58,120 Speaker 1: It was a mother and three year old knows mom 256 00:14:58,200 --> 00:15:00,240 Speaker 1: and two kids, sorry, mom and two kids. Was the 257 00:15:00,280 --> 00:15:02,360 Speaker 1: mom and a nine year old, a three year old. 258 00:15:02,920 --> 00:15:05,640 Speaker 1: They were all unconscious on this small island in the 259 00:15:05,680 --> 00:15:09,240 Speaker 1: middle of the river Real Grand and they were able 260 00:15:09,280 --> 00:15:11,120 Speaker 1: to resuscitate the mom in the three year old, but 261 00:15:11,200 --> 00:15:14,040 Speaker 1: they couldn't revive the nine year old and they were 262 00:15:14,040 --> 00:15:20,040 Speaker 1: off from Guatemala. The border agent said they've rescued five 263 00:15:20,160 --> 00:15:25,640 Speaker 1: hundred migrants since October rescued them from dying. Eighty two 264 00:15:25,640 --> 00:15:29,280 Speaker 1: of them have in fact died. Just on Wednesday, a 265 00:15:29,320 --> 00:15:33,120 Speaker 1: man from Cuba died trying to swim around the border 266 00:15:32,800 --> 00:15:36,160 Speaker 1: barrier between Tijuan and San Diego, which is the second 267 00:15:36,160 --> 00:15:39,000 Speaker 1: person to drown there in the last two weeks. Obviously 268 00:15:39,080 --> 00:15:41,160 Speaker 1: Tiuana San Diego right in the coast, so the border 269 00:15:41,160 --> 00:15:43,320 Speaker 1: wall goes out into the ocean a little bit. So 270 00:15:43,360 --> 00:15:45,480 Speaker 1: this guy tried to swim across any drowned, and that 271 00:15:45,560 --> 00:15:49,080 Speaker 1: happens frequently. So I bring all this up for the 272 00:15:49,120 --> 00:15:51,520 Speaker 1: obvious reasons. But also this is Steve Krakauer. He said, 273 00:15:51,520 --> 00:15:55,000 Speaker 1: I'm nuts. I'm not saying this tragic death is on 274 00:15:55,080 --> 00:15:58,320 Speaker 1: Joe Biden's hands, but I am saying if this were 275 00:15:58,520 --> 00:16:01,160 Speaker 1: last year the meat, it would be saying that it 276 00:16:01,440 --> 00:16:06,360 Speaker 1: is on President Trump's hands. And we know because they 277 00:16:06,400 --> 00:16:09,240 Speaker 1: did it a hundred times as a CNN back in 278 00:16:09,240 --> 00:16:12,800 Speaker 1: twenty nineteen. The tragic father daughter photo is a moral 279 00:16:13,040 --> 00:16:18,400 Speaker 1: stain on Trump's America. How come this isn't called Biden's America. 280 00:16:18,520 --> 00:16:21,960 Speaker 1: The photo of a dead father and daughter shows the 281 00:16:22,200 --> 00:16:27,960 Speaker 1: nature of Trump immigration policy. Now, what's even more in 282 00:16:27,960 --> 00:16:34,640 Speaker 1: your face about this is of course. Of course Trump 283 00:16:34,720 --> 00:16:39,160 Speaker 1: was characterized as a monster. Biden will never be characterized 284 00:16:39,160 --> 00:16:41,880 Speaker 1: as a monster, that's for sure. But what's even worse 285 00:16:42,000 --> 00:16:47,680 Speaker 1: is the media's tripping over themselves to praise Biden's decency 286 00:16:48,280 --> 00:16:50,360 Speaker 1: and morality. Remember, one of the questions at the press 287 00:16:50,400 --> 00:16:55,080 Speaker 1: conference from the PBS reporter was the perception of you 288 00:16:55,560 --> 00:16:59,480 Speaker 1: that got you elected, sir, your highness was that you 289 00:16:59,520 --> 00:17:04,280 Speaker 1: were moral and decent man, and so smart and handsome 290 00:17:04,320 --> 00:17:08,280 Speaker 1: and magical and mysterious and wonderful and lovah blah, I 291 00:17:08,359 --> 00:17:16,280 Speaker 1: love you so much. That's the propaganda. Trump was the monster, 292 00:17:16,359 --> 00:17:18,120 Speaker 1: even though and I shared this factor all the time. 293 00:17:18,359 --> 00:17:23,800 Speaker 1: Over the last forty years, Trump was number one, number three, 294 00:17:23,840 --> 00:17:28,000 Speaker 1: and number ten in the granting of asylum requests. That's 295 00:17:28,080 --> 00:17:31,080 Speaker 1: more number one over any president over in any year. 296 00:17:31,400 --> 00:17:33,359 Speaker 1: In forty years, he was number one, number three, and 297 00:17:33,440 --> 00:17:37,639 Speaker 1: number ten. Trump is a monster and Biden is a 298 00:17:37,760 --> 00:17:40,760 Speaker 1: moral and decent man. While people are dying along the border, 299 00:17:40,840 --> 00:17:43,400 Speaker 1: kids are dying, kids are getting wrapped up in sex slavery, 300 00:17:43,640 --> 00:17:49,159 Speaker 1: still Biden is moral and decent. You remember the well, 301 00:17:49,200 --> 00:17:50,560 Speaker 1: this is one of the most unbelievable facts that the 302 00:17:50,560 --> 00:17:53,920 Speaker 1: Trump during Trump's presidency. The pictures that were shown around 303 00:17:53,920 --> 00:17:56,400 Speaker 1: of kids in cages, I'll never forget. One of it 304 00:17:56,400 --> 00:18:01,160 Speaker 1: was Obama's former speechwriter. He said, this is happening right now, 305 00:18:01,320 --> 00:18:05,959 Speaker 1: kids in cages, right, this is happening right now, and 306 00:18:06,040 --> 00:18:08,600 Speaker 1: just went on about how horrible and horrific, and this 307 00:18:08,720 --> 00:18:10,840 Speaker 1: is Trump's America. And it was a picture from twenty 308 00:18:11,040 --> 00:18:17,560 Speaker 1: fourteen that was in fact Obama Biden's America. And it's 309 00:18:17,560 --> 00:18:20,320 Speaker 1: the same thing today. The amount of deceit from the 310 00:18:20,359 --> 00:18:23,359 Speaker 1: media on this issue is astounding, even by the media's 311 00:18:23,400 --> 00:18:25,159 Speaker 1: normal standards, which is what we just talked about in 312 00:18:25,200 --> 00:18:33,520 Speaker 1: the last segment. I don't like to talk There's a 313 00:18:33,520 --> 00:18:36,400 Speaker 1: ton more to say about this, and we'll have more time, 314 00:18:36,440 --> 00:18:39,080 Speaker 1: but I don't like to talk about the border anymore 315 00:18:39,400 --> 00:18:41,560 Speaker 1: unless I have solutions at the end. At least they're 316 00:18:41,560 --> 00:18:44,160 Speaker 1: guiding principle and light that we need to move towards. 317 00:18:44,560 --> 00:18:46,439 Speaker 1: You need to shut down the border. No one can 318 00:18:46,480 --> 00:18:50,360 Speaker 1: come here illegally, and set up a much faster system 319 00:18:50,600 --> 00:18:52,600 Speaker 1: for people who do want to come legally. I mean 320 00:18:52,640 --> 00:18:54,159 Speaker 1: I talk to people all the time who I was 321 00:18:54,160 --> 00:18:56,520 Speaker 1: talking to someone the other day. His wife is in 322 00:18:57,760 --> 00:19:00,560 Speaker 1: somewhere Chili or something, and it's been like a year 323 00:19:00,560 --> 00:19:03,439 Speaker 1: and a half to go through the process, which normally 324 00:19:03,480 --> 00:19:05,960 Speaker 1: still takes the year because of COVID and everything else, 325 00:19:06,040 --> 00:19:07,720 Speaker 1: but it still takes way too long. It needs an 326 00:19:07,800 --> 00:19:11,000 Speaker 1: up and down vote almost immediately, like as fast as possible. 327 00:19:11,880 --> 00:19:14,160 Speaker 1: And you wait on the Mexican side while you decide. 328 00:19:16,359 --> 00:19:18,480 Speaker 1: And we need to come up with different standards for 329 00:19:18,640 --> 00:19:22,200 Speaker 1: what allows someone in and what disqualifies you. I don't 330 00:19:22,200 --> 00:19:23,879 Speaker 1: know what those standards should be, but that's a wonderful 331 00:19:23,920 --> 00:19:26,159 Speaker 1: conversation to have. And the point is we decide as 332 00:19:26,160 --> 00:19:28,560 Speaker 1: a country. So that's it. You shut down the border. 333 00:19:28,600 --> 00:19:30,800 Speaker 1: No one comes across illegally. The drug cartels will hate it. 334 00:19:30,840 --> 00:19:35,639 Speaker 1: The sex trafficking cartels will hate it. That's awesome. Streamline 335 00:19:35,640 --> 00:19:38,240 Speaker 1: the whole process up down very quickly, we decide what 336 00:19:38,359 --> 00:19:43,359 Speaker 1: standards exist. Great chaos helps no one except for the 337 00:19:43,440 --> 00:19:51,240 Speaker 1: cartels and democrats. But sometimes it's hard to tell the difference. 338 00:19:52,080 --> 00:19:55,800 Speaker 1: Mike's later dot locals dot com. Everything we do we 339 00:19:55,800 --> 00:19:57,480 Speaker 1: put up there, and Mike Slater dot locals dot com 340 00:19:57,480 --> 00:20:02,080 Speaker 1: will come back with little nas x, Mike Slater filling 341 00:20:02,119 --> 00:20:03,719 Speaker 1: it for box Sexton. Spread the word. It's going on 342 00:20:03,800 --> 00:20:06,240 Speaker 1: Team Buck. Mike Slater here in San Diego, filling in 343 00:20:06,320 --> 00:20:09,160 Speaker 1: for Box Sexton. He'll be back on a Vednesday. Mike 344 00:20:09,200 --> 00:20:11,399 Speaker 1: Slater out. Locals dot Com is our websites where we 345 00:20:11,400 --> 00:20:13,639 Speaker 1: put everything. Mike Slaighter out locals dot com. Buck and 346 00:20:13,640 --> 00:20:15,560 Speaker 1: I we've been friends forever. He's we have a TV 347 00:20:15,600 --> 00:20:18,920 Speaker 1: show together, not together, same network on the first and 348 00:20:19,760 --> 00:20:22,280 Speaker 1: I follow him around every network he's ever on and 349 00:20:22,640 --> 00:20:24,280 Speaker 1: honor to fill in from today. Thanks for being here. 350 00:20:25,000 --> 00:20:34,320 Speaker 1: All right, let's talk about Little Nasax. This segment not 351 00:20:34,359 --> 00:20:41,320 Speaker 1: appropriate for kids, FYI, which is the point. So Little 352 00:20:41,400 --> 00:20:43,800 Speaker 1: Nasax he's a rapper. He's got a video where he's 353 00:20:43,840 --> 00:20:48,399 Speaker 1: giving a lap dance to Satan, and in real life 354 00:20:48,400 --> 00:20:52,480 Speaker 1: he's selling six hundred and sixty six pairs of Satan shoes. 355 00:20:52,600 --> 00:20:54,800 Speaker 1: You can go to Satan dot shoes and see them 356 00:20:54,800 --> 00:20:57,280 Speaker 1: for yourself, and they're made with a drop of human 357 00:20:57,320 --> 00:21:04,600 Speaker 1: blood and a Pentagraham and whatever. All right, Little Nasax, 358 00:21:05,080 --> 00:21:09,840 Speaker 1: I'll bite first. I know what you're up to here, Okay, 359 00:21:10,920 --> 00:21:16,719 Speaker 1: all right, I get it. Artists do stuff like this 360 00:21:16,800 --> 00:21:19,119 Speaker 1: from time to time to get a rise out of Christians. 361 00:21:20,480 --> 00:21:22,879 Speaker 1: And then when Christians say something like hey, you know 362 00:21:22,960 --> 00:21:29,200 Speaker 1: this isn't that great for children? They come back with, Oh, 363 00:21:30,040 --> 00:21:35,600 Speaker 1: you Christians, you're so uptight. Don't you understand the art 364 00:21:35,600 --> 00:21:40,840 Speaker 1: of it? Don't you understand the messaging? Shouldn't you be 365 00:21:40,880 --> 00:21:43,520 Speaker 1: worried about something else? Why do you even care? That's 366 00:21:43,520 --> 00:21:46,280 Speaker 1: one too, Why do you care? Why are you obsessed? 367 00:21:50,200 --> 00:21:53,800 Speaker 1: Oh you think little NASAs is turning kids into Satan worshippers. 368 00:21:54,280 --> 00:21:58,160 Speaker 1: You Christians, always overreacting, always so judging too? Are you judging? 369 00:21:58,480 --> 00:22:01,520 Speaker 1: Why aren't you more loving? More loving? I need to 370 00:22:01,560 --> 00:22:05,040 Speaker 1: be more understanding and loving. Okay, you're right, it's great. 371 00:22:05,040 --> 00:22:07,480 Speaker 1: Go ahead, keep saying the lap dance and videos, that's fantastic. 372 00:22:07,520 --> 00:22:09,879 Speaker 1: All right, that's the game. I get the game. I 373 00:22:09,920 --> 00:22:14,200 Speaker 1: understand the game. It's about money. It's about money and attention. Okay, 374 00:22:14,200 --> 00:22:17,760 Speaker 1: And you do a great job. He did a great job. 375 00:22:19,920 --> 00:22:27,800 Speaker 1: That being said, if you parents are not actively taking 376 00:22:27,800 --> 00:22:34,480 Speaker 1: the reins of raising your children, then someone else's someone's 377 00:22:34,520 --> 00:22:40,040 Speaker 1: raising your kids. Do not outsource the raising of your 378 00:22:40,119 --> 00:22:45,760 Speaker 1: kids to anyone else, to anything else, because the people 379 00:22:45,840 --> 00:22:51,080 Speaker 1: who you outsource it to hate you. They hate you, 380 00:22:52,280 --> 00:22:55,840 Speaker 1: They hate you, they hate your values, they hate your worldview. 381 00:22:57,119 --> 00:23:01,160 Speaker 1: They are out to destroy it, oh, packages very nicely, 382 00:23:06,359 --> 00:23:09,800 Speaker 1: But be careful the people who are writing TV shows 383 00:23:09,880 --> 00:23:12,639 Speaker 1: and movies and video games and music and things on 384 00:23:12,680 --> 00:23:15,640 Speaker 1: the internet. You're giving the reins of your child's heart 385 00:23:15,720 --> 00:23:19,800 Speaker 1: and soul to people who you would never leave your 386 00:23:19,880 --> 00:23:24,600 Speaker 1: kids in the same room with. Yet you bring the 387 00:23:25,280 --> 00:23:28,720 Speaker 1: things that those people make into your home. Just be 388 00:23:28,840 --> 00:23:32,800 Speaker 1: very careful of them. But you know, I'm Lamo super 389 00:23:32,800 --> 00:23:37,080 Speaker 1: Prude over here. That's my alter ego, Ego superhero, our 390 00:23:37,160 --> 00:23:39,800 Speaker 1: local show. He comes out every couple weeks ago. Its 391 00:23:40,119 --> 00:23:44,679 Speaker 1: Lamo super Prude. There's Lamo Christian over here. Just you 392 00:23:44,720 --> 00:23:47,919 Speaker 1: just don't get it. Why are you up tight? All right? 393 00:23:47,960 --> 00:23:50,240 Speaker 1: So Little Nazacs if you don't know, he's a rapper. 394 00:23:50,280 --> 00:23:51,760 Speaker 1: A couple of years ago, he got famous for the 395 00:23:51,800 --> 00:23:57,680 Speaker 1: song Old Town Road, which was this catchy rap country crossover. 396 00:23:57,760 --> 00:24:00,479 Speaker 1: I hated it then, but you're supposed to love it. 397 00:24:00,960 --> 00:24:05,320 Speaker 1: This was the moment that I got super concerned about. 398 00:24:05,359 --> 00:24:07,359 Speaker 1: This is actually a pivotal moment. I stinctly remember this 399 00:24:07,440 --> 00:24:14,000 Speaker 1: video when it came out, and it was very concerning. Then. 400 00:24:15,960 --> 00:24:22,320 Speaker 1: This is when I saw I realized how powerful pop 401 00:24:22,359 --> 00:24:29,040 Speaker 1: culture is. This is a video of Little Nazas back 402 00:24:29,040 --> 00:24:32,960 Speaker 1: in twenty nineteen, performing at an elementary school, and the 403 00:24:33,160 --> 00:24:39,119 Speaker 1: kids are hypnotized elementaries. These are kindergarten kids, so like five, six, seven, 404 00:24:39,240 --> 00:24:41,520 Speaker 1: maybe maybe eight years old. In the in the audience, 405 00:24:41,560 --> 00:24:45,960 Speaker 1: these kids are entranced. They're jumping to the beat, they're 406 00:24:46,040 --> 00:24:49,080 Speaker 1: singing along with every word. They like they can't get 407 00:24:49,200 --> 00:24:52,280 Speaker 1: enough that. They're just they've lost their minds. They're like 408 00:24:52,320 --> 00:24:55,600 Speaker 1: they're like animals, like freaking out. The chorus of the 409 00:24:55,640 --> 00:25:00,200 Speaker 1: song is, can't Nobody tell me nothing? You can't tell 410 00:25:00,240 --> 00:25:02,600 Speaker 1: me nothing? All right, so let's have our kids walking 411 00:25:02,640 --> 00:25:04,880 Speaker 1: around all day with that catchy beat in their head. 412 00:25:04,880 --> 00:25:08,719 Speaker 1: If can't nobody tell me nothing, that's great. Why are 413 00:25:08,720 --> 00:25:10,480 Speaker 1: people not more careful about what they allow into their 414 00:25:10,520 --> 00:25:14,280 Speaker 1: kid's heads. It's amazing to me. These are elementary school kids. Okay, 415 00:25:14,600 --> 00:25:16,679 Speaker 1: So anyway, here's here it is and you can just 416 00:25:16,720 --> 00:25:49,520 Speaker 1: get it just from the audio. You get the idea, 417 00:25:49,560 --> 00:25:53,280 Speaker 1: you get and they know every single word. They're freaking out. 418 00:25:55,359 --> 00:25:57,600 Speaker 1: There's some bad stuff in that song too, but no 419 00:25:57,600 --> 00:26:01,200 Speaker 1: one cared. My son, my old son, Jack was two. 420 00:26:01,240 --> 00:26:04,920 Speaker 1: I have a Jack's four graces three and Johnny's one. 421 00:26:06,119 --> 00:26:07,760 Speaker 1: Jack was two when that song came out, and that 422 00:26:07,880 --> 00:26:11,000 Speaker 1: was such a warning for me to watch my kids 423 00:26:11,680 --> 00:26:13,560 Speaker 1: and watch what they're listening to and what I'm putting 424 00:26:13,560 --> 00:26:18,480 Speaker 1: into their brain. So anyway, that's the guy. So that's 425 00:26:18,480 --> 00:26:20,919 Speaker 1: Little nazas two years ago and now and then he 426 00:26:21,119 --> 00:26:23,959 Speaker 1: came out as gay, and now he's giving lap dances 427 00:26:23,960 --> 00:26:27,719 Speaker 1: to Satan in music videos and you're saying, oh, well, slater, um, 428 00:26:27,880 --> 00:26:31,959 Speaker 1: you know this isn't for kids. You know this stuff's 429 00:26:32,000 --> 00:26:34,160 Speaker 1: not for kids that you've given Satan a lap dance, 430 00:26:35,359 --> 00:26:39,080 Speaker 1: so you know you're overreacting this. It's not for elementary 431 00:26:39,160 --> 00:26:46,240 Speaker 1: school kids. Little Nozax, he says. He wrote this on 432 00:26:46,240 --> 00:26:49,159 Speaker 1: Twitter just yesterday. He says, I'm an adult. I'm not 433 00:26:49,160 --> 00:26:52,159 Speaker 1: going to spend my entire career trying to cater to 434 00:26:52,280 --> 00:26:55,280 Speaker 1: your children. That's your job. Okay, So he says, says, 435 00:26:55,280 --> 00:26:58,080 Speaker 1: I'm not going to spend my entire career trying to 436 00:26:58,119 --> 00:27:02,160 Speaker 1: cater to your children. This is an MPR headline. Lil 437 00:27:02,280 --> 00:27:05,440 Speaker 1: nas X says children are his core audience right now, 438 00:27:05,560 --> 00:27:13,680 Speaker 1: and that's okay. That was from January of twenty twenty one, okay, 439 00:27:13,720 --> 00:27:19,640 Speaker 1: three months ago. Children are my core audience today, children 440 00:27:19,640 --> 00:27:22,600 Speaker 1: are not my core audience with My Satan Lap Dance song. 441 00:27:24,640 --> 00:27:29,560 Speaker 1: He also coordinated with his release of His Satan's Shoes. 442 00:27:30,560 --> 00:27:33,440 Speaker 1: He released a children's book called C is for Country, 443 00:27:33,800 --> 00:27:37,080 Speaker 1: and he was just on Sesame Street promoting it. A 444 00:27:37,320 --> 00:27:40,560 Speaker 1: is for adventure, B is for boots. C is for country. 445 00:27:40,600 --> 00:27:43,920 Speaker 1: Oh how cute. Now, what the preview doesn't show you 446 00:27:44,480 --> 00:27:47,360 Speaker 1: is the rest of the letters. They show you. A's 447 00:27:47,400 --> 00:27:49,240 Speaker 1: for adventure, B is for boots, C is for country. 448 00:27:49,240 --> 00:27:52,040 Speaker 1: They don't show you F is for fringe, feathers and 449 00:27:52,119 --> 00:27:58,200 Speaker 1: fake fur. S is for swag with his purple cowboy 450 00:27:58,200 --> 00:28:00,520 Speaker 1: hat as he comes out as gay. They show you 451 00:28:00,520 --> 00:28:03,760 Speaker 1: that in the preview to the book. So you see 452 00:28:03,800 --> 00:28:06,480 Speaker 1: how this works. You see how this works. These people 453 00:28:06,520 --> 00:28:10,000 Speaker 1: they cater to children, your children, and then they pull 454 00:28:10,040 --> 00:28:15,639 Speaker 1: the old switcheroo on you. And then that person, the 455 00:28:15,760 --> 00:28:18,000 Speaker 1: pervert comes back and says, oh, I'm not you know, 456 00:28:18,040 --> 00:28:22,960 Speaker 1: I'm not here for your kids. That was what that 457 00:28:22,960 --> 00:28:25,080 Speaker 1: was Miley Cyrus. Right, there's a million examples, but that 458 00:28:25,119 --> 00:28:29,920 Speaker 1: was Myny Cyrus. Kids hitch themselves to the Miley Cyrus bandwagon. 459 00:28:30,000 --> 00:28:31,600 Speaker 1: Or maybe I'd be honest here. I don't want to 460 00:28:31,600 --> 00:28:34,879 Speaker 1: be rude, but you hitch your kids too, or you 461 00:28:34,920 --> 00:28:38,520 Speaker 1: allow your kids to be hitched to the Miley Cyrus 462 00:28:38,520 --> 00:28:40,600 Speaker 1: bandwagon because she's just a fun, cute little girl and 463 00:28:40,640 --> 00:28:42,680 Speaker 1: it's the Disney Channel. I trust the Disney Channel. Don't 464 00:28:42,760 --> 00:28:44,760 Speaker 1: let your kids watch the Disney Channel. Yeah, of your minds, 465 00:28:45,000 --> 00:28:46,959 Speaker 1: but you you let your kids hitch your hitch themselves 466 00:28:46,960 --> 00:28:49,120 Speaker 1: to this bandwagon and then before you know, she's stripping 467 00:28:49,200 --> 00:28:53,120 Speaker 1: write songs about drugs and being her authentic self or 468 00:28:53,280 --> 00:28:56,160 Speaker 1: wherever they supen it. Right, So these people they lose 469 00:28:56,160 --> 00:28:58,520 Speaker 1: their minds, right, they go psychotic, they lose their minds, 470 00:28:59,480 --> 00:29:01,760 Speaker 1: and now your son and daughters along for the ride. 471 00:29:04,280 --> 00:29:07,520 Speaker 1: But again, I'm just Lamos super proved over here. I 472 00:29:07,640 --> 00:29:10,840 Speaker 1: just don't get it. Oh, Slater, you just don't get Lamo. 473 00:29:10,960 --> 00:29:12,360 Speaker 1: You just don't get it. Why are you so uptight? 474 00:29:12,480 --> 00:29:16,920 Speaker 1: Loosen up? Here's another one. I hear this too, Slater. 475 00:29:16,920 --> 00:29:19,080 Speaker 1: Are you just gonna protect your kids from everything forever? 476 00:29:19,560 --> 00:29:22,000 Speaker 1: I love that You're just gonna shelter your kids forever? 477 00:29:24,640 --> 00:29:31,720 Speaker 1: They're four? My kid is four or even six or twelve, 478 00:29:32,560 --> 00:29:36,680 Speaker 1: so yeah, not forever, not forevert on them. But they're twelve, 479 00:29:37,680 --> 00:29:46,160 Speaker 1: so yeah, eight years old is not old enough to 480 00:29:46,280 --> 00:29:51,600 Speaker 1: understand what he's seeing and hearing from a guy who's 481 00:29:51,640 --> 00:29:56,320 Speaker 1: selling filth. An eight year old. A twelve year old 482 00:29:57,080 --> 00:30:00,800 Speaker 1: can't see through this and what non sex is trying 483 00:30:00,800 --> 00:30:02,840 Speaker 1: to do. I'm thirty six. I get it. I see 484 00:30:02,880 --> 00:30:04,800 Speaker 1: the act, I see the show. It's a game. It's 485 00:30:04,840 --> 00:30:07,080 Speaker 1: trying to get attention, it's trying to make money. Yeah, 486 00:30:07,120 --> 00:30:12,440 Speaker 1: I get it. Twelve year olds done understand that. I 487 00:30:12,480 --> 00:30:16,640 Speaker 1: got more to say about this. Sorry about to go. 488 00:30:16,840 --> 00:30:22,000 Speaker 1: I'm about to go on to rant. M h, what 489 00:30:22,080 --> 00:30:26,360 Speaker 1: do I do feel? Rant coming? That wasn't it? That 490 00:30:26,440 --> 00:30:29,400 Speaker 1: was just build up? Let me take a break. I'll 491 00:30:29,480 --> 00:30:32,800 Speaker 1: end with this. Philippians four. Whatever it's because it's so 492 00:30:32,880 --> 00:30:35,840 Speaker 1: important what your kids consume. It's poor when you consume 493 00:30:36,480 --> 00:30:40,840 Speaker 1: your inputs. Watch your inputs. Curate your inputs, because what 494 00:30:40,960 --> 00:30:42,880 Speaker 1: is input It into your brain, into your heart, into 495 00:30:42,960 --> 00:30:45,880 Speaker 1: your soul. That changes what you think about, and what 496 00:30:46,000 --> 00:30:50,560 Speaker 1: you think about, changes what you would you do and 497 00:30:50,640 --> 00:30:55,360 Speaker 1: how you feel. Watch your inputs. You don't think given 498 00:30:55,400 --> 00:30:57,560 Speaker 1: your kids the input? Even his old song, forget about 499 00:30:57,560 --> 00:30:59,880 Speaker 1: the lap dance song to Satan. This is the song 500 00:31:00,040 --> 00:31:03,040 Speaker 1: with the lyrics, can't Nobody tell me nothing? You think? 501 00:31:03,040 --> 00:31:05,719 Speaker 1: Pumping that into your kid's brain. Is it gonna change them? 502 00:31:05,760 --> 00:31:07,240 Speaker 1: Is it gonna affect them in a negative way? Of 503 00:31:07,280 --> 00:31:17,680 Speaker 1: course it will Philippians four. Whatever is true, noble, right, pure, lovely, admirable, excellent, praiseworthy, 504 00:31:17,840 --> 00:31:25,240 Speaker 1: think about such things. Give your kids beautiful things. Surround 505 00:31:25,360 --> 00:31:28,840 Speaker 1: them with beautiful things. Do not hand your children over 506 00:31:28,880 --> 00:31:31,680 Speaker 1: to people like Little Nozas into an industry like Hollywood. 507 00:31:31,880 --> 00:31:35,240 Speaker 1: We're just people just trying to make a buck. Your 508 00:31:35,320 --> 00:31:39,240 Speaker 1: kids are more valuable than that. Mike Center dot locals 509 00:31:39,280 --> 00:31:41,200 Speaker 1: dot com. That's the website, Mike Slater dot locals dot 510 00:31:41,200 --> 00:31:43,360 Speaker 1: com filling it for Buck Sexton's brother word ey teen Buck. 511 00:31:43,400 --> 00:31:45,840 Speaker 1: Mike's later San Diego filling it for Buck Sexton. Let's 512 00:31:45,840 --> 00:31:48,400 Speaker 1: just wrap up this little stupid story. So this is 513 00:31:48,440 --> 00:31:50,920 Speaker 1: part of the game, right. So Little Nozas, this rapper 514 00:31:51,160 --> 00:31:57,600 Speaker 1: who has always been marketed towards kids, he does something satanic, okay, 515 00:31:57,600 --> 00:32:00,400 Speaker 1: And this latest video with like two million views, like 516 00:32:00,400 --> 00:32:03,680 Speaker 1: overnight number one song on iTunes, whole thing, give Satan 517 00:32:03,680 --> 00:32:06,080 Speaker 1: a laugh, dance, right, Okay. So then if you say 518 00:32:06,120 --> 00:32:08,200 Speaker 1: anything about it, then you get criticized. That's the game. 519 00:32:08,880 --> 00:32:11,880 Speaker 1: So the governor of South Dakota, Christy Nome running for 520 00:32:11,920 --> 00:32:15,240 Speaker 1: president Shirley. She says, hey, this song is bad and 521 00:32:15,280 --> 00:32:17,720 Speaker 1: this video is not good for kids, and he writes back, 522 00:32:18,520 --> 00:32:22,560 Speaker 1: you're a whole governor. You on here tweeting about some shoes. 523 00:32:22,920 --> 00:32:27,719 Speaker 1: Do your job, do the game, you do something satanic? 524 00:32:28,360 --> 00:32:30,720 Speaker 1: Someone says something, what do you care? Why are you 525 00:32:30,760 --> 00:32:35,160 Speaker 1: being so judgmental? Why are you obsessed? That's the trick. 526 00:32:36,600 --> 00:32:39,680 Speaker 1: So the packaging for the shoes, it says, better to 527 00:32:39,760 --> 00:32:42,800 Speaker 1: rain in hell than serve in heaven. Better to rain 528 00:32:42,840 --> 00:32:44,880 Speaker 1: in hell than to serve in heaven. That's a line 529 00:32:44,880 --> 00:32:49,040 Speaker 1: from Milton's Paradise Lost. It's amazing poem about the fall 530 00:32:49,080 --> 00:32:51,120 Speaker 1: of man Adam and even the garden. Also the fall 531 00:32:51,120 --> 00:32:52,920 Speaker 1: of Satan from heaven to hell. It's beautiful poemer in 532 00:32:52,960 --> 00:32:56,960 Speaker 1: the sixteen hundreds. Of course, Satan was wrong, and he 533 00:32:57,080 --> 00:33:00,760 Speaker 1: said that people interpret that lie as if he was right. 534 00:33:03,960 --> 00:33:06,640 Speaker 1: Satan fell because of his pride, his ambition, thinking he 535 00:33:06,680 --> 00:33:08,520 Speaker 1: was better than God. A rolling stone. They did an 536 00:33:08,520 --> 00:33:11,280 Speaker 1: interview with the head of the Church of Satan about 537 00:33:11,600 --> 00:33:15,560 Speaker 1: Little Ozac's video that's directed to your kids. Little Ozaki 538 00:33:15,640 --> 00:33:17,840 Speaker 1: has something like I don't know, like six million subscribers 539 00:33:17,880 --> 00:33:20,640 Speaker 1: on YouTube. I'd be really curious what the average age 540 00:33:20,680 --> 00:33:22,960 Speaker 1: of his subscribers are. I would not be surprised if 541 00:33:22,960 --> 00:33:27,360 Speaker 1: the average age if his subscribers are like twelve, I 542 00:33:27,480 --> 00:33:33,440 Speaker 1: really fourteen maybe. Anyway, the head of the Church of Satan, 543 00:33:33,480 --> 00:33:36,239 Speaker 1: he obviously did his homework. Whether he consulted with us 544 00:33:36,240 --> 00:33:38,160 Speaker 1: directly or did his own research, he clearly put a 545 00:33:38,160 --> 00:33:42,560 Speaker 1: lot of effort into this video. The Church of Satan 546 00:33:42,600 --> 00:33:45,560 Speaker 1: claims not to worship Satan as a deity, but rather 547 00:33:45,640 --> 00:33:50,400 Speaker 1: elevates the self and one's own will as supreme quote. Basically, 548 00:33:50,480 --> 00:33:55,320 Speaker 1: we worship ourselves. We refer to ourselves as atheists. We 549 00:33:55,440 --> 00:33:58,800 Speaker 1: see ourselves as our own God. Yeah, that's right, that's it. 550 00:33:59,320 --> 00:34:02,840 Speaker 1: That's what Satan makes him his perfect sense, he sells, 551 00:34:02,880 --> 00:34:05,800 Speaker 1: I don't need to describe the video anymore, Satan, A 552 00:34:05,840 --> 00:34:07,520 Speaker 1: lap dance is all you really needed. Well, at the end, 553 00:34:07,520 --> 00:34:09,760 Speaker 1: he snaps Satan's neck and then puts on the crown 554 00:34:09,760 --> 00:34:12,760 Speaker 1: of thorns and crowns himself as saying now so edgy 555 00:34:16,400 --> 00:34:20,080 Speaker 1: or as it's described, he's dismantling the throne of judgment 556 00:34:20,120 --> 00:34:23,480 Speaker 1: and punishment that has kept many of us from embracing 557 00:34:23,480 --> 00:34:28,399 Speaker 1: our true selves out of fear. What are those who 558 00:34:28,440 --> 00:34:35,760 Speaker 1: call evil good and good evil? Oh he's just I'm sorry, 559 00:34:35,800 --> 00:34:42,520 Speaker 1: he's he's just pushing boundaries. Yeah, that's right, it's pushing boundaries. 560 00:34:43,560 --> 00:34:48,759 Speaker 1: He wants he wants to normalize homosexuality, he says. So 561 00:34:48,840 --> 00:34:50,960 Speaker 1: there's this one line. So anytime anyone criticizes him for 562 00:34:51,000 --> 00:34:54,440 Speaker 1: the video, so definitely kids alert here. Earmuffs on the 563 00:34:54,520 --> 00:34:56,640 Speaker 1: kids for thirty seconds. Okay, what I'm gonna say here 564 00:34:56,719 --> 00:35:00,040 Speaker 1: is like disgusting. So one of the lines of a 565 00:35:00,160 --> 00:35:06,440 Speaker 1: song is shoot a child in your mouth while I'm riding, guys, 566 00:35:06,440 --> 00:35:08,640 Speaker 1: So anytime someone writes back to my Christie Nome, he 567 00:35:08,640 --> 00:35:12,440 Speaker 1: wrote this. Back to Christie Nome, he writes back, shoot 568 00:35:12,480 --> 00:35:16,640 Speaker 1: a child in your mouth while I'm riding. That's one 569 00:35:16,640 --> 00:35:18,520 Speaker 1: of the long lines in the song, and that means 570 00:35:18,520 --> 00:35:21,360 Speaker 1: to ejaculate in someone's mouth, right, sperm child, shoot a 571 00:35:21,440 --> 00:35:25,440 Speaker 1: child in your mouth while I'm riding. That's to your kids, right, 572 00:35:26,000 --> 00:35:28,440 Speaker 1: all those kids, I guarantee you, I don't know, like, 573 00:35:28,560 --> 00:35:30,040 Speaker 1: do you disagree with this? I don't know what you 574 00:35:30,280 --> 00:35:32,440 Speaker 1: All those kids who are jumping up and down to 575 00:35:32,520 --> 00:35:36,480 Speaker 1: old country Road or old town road and knew every 576 00:35:36,480 --> 00:35:40,680 Speaker 1: single word. Will know every single word of this song. Now, 577 00:35:40,680 --> 00:35:43,360 Speaker 1: I'm not surprised. No one should be surprised. No one's shocked. 578 00:35:43,360 --> 00:35:45,640 Speaker 1: Like it's like, oh yeah, I get it. We're like 579 00:35:45,640 --> 00:35:48,440 Speaker 1: it's a fallen world. We're broken people. And I almost 580 00:35:48,440 --> 00:35:50,600 Speaker 1: give little Nasa some credit, like like, let's it's just 581 00:35:50,640 --> 00:35:52,640 Speaker 1: for money. NICs to make money is to get attention, 582 00:35:52,680 --> 00:35:56,319 Speaker 1: to make money. Great, but at least he's not as 583 00:35:56,360 --> 00:36:01,960 Speaker 1: deceitful about it as others. Right, and honestly, the more 584 00:36:02,080 --> 00:36:07,440 Speaker 1: obvious the world's brokenness becomes, I welcome it. The more 585 00:36:07,520 --> 00:36:10,640 Speaker 1: obvious the brokenness is, the better. I'm not asking for 586 00:36:10,640 --> 00:36:13,319 Speaker 1: it to be more broken. It's plenty broken. I just 587 00:36:13,560 --> 00:36:17,160 Speaker 1: I like it to be obvious to people because then 588 00:36:17,160 --> 00:36:21,040 Speaker 1: it makes it easier to be good, because you don't 589 00:36:21,080 --> 00:36:24,200 Speaker 1: want to be that. Like battle lines are drawn, like 590 00:36:24,239 --> 00:36:27,120 Speaker 1: who's side are you on? Here? You're gonna be on 591 00:36:27,160 --> 00:36:31,080 Speaker 1: the guy who's doing that or over here with me 592 00:36:31,120 --> 00:36:36,719 Speaker 1: and Lamo super Brood. Protect your kids, Protect your kids, 593 00:36:36,920 --> 00:36:40,200 Speaker 1: and do not let the world. Do not believe the 594 00:36:40,239 --> 00:36:44,439 Speaker 1: world's lie that you you shouldn't be the parent. You're 595 00:36:44,480 --> 00:36:48,279 Speaker 1: the parent. Do not outsource that God given responsibility to 596 00:36:48,360 --> 00:36:50,719 Speaker 1: love and raise your children to people who hate you. 597 00:36:52,360 --> 00:36:55,280 Speaker 1: Mike's later dot Locals dot com mics later out Locals 598 00:36:55,320 --> 00:36:57,080 Speaker 1: dot Com filling in for Box sexdens Bro the word 599 00:36:57,080 --> 00:36:59,280 Speaker 1: It's going on, Team back. America is the greatest country 600 00:36:59,280 --> 00:37:01,160 Speaker 1: in the world. Thanks for being here. Mike Slader filling 601 00:37:01,200 --> 00:37:03,520 Speaker 1: if for Bucks Sexton, and I can just see you 602 00:37:03,640 --> 00:37:06,400 Speaker 1: turning to the dial and just turn to the station 603 00:37:06,520 --> 00:37:10,239 Speaker 1: right now. This ain't Buck. I share your disappointment. I 604 00:37:10,280 --> 00:37:13,960 Speaker 1: would rather listen to Buck Sexton than me too. But 605 00:37:14,040 --> 00:37:19,880 Speaker 1: Buck will be back on Wednesday, And gosh, is there 606 00:37:19,880 --> 00:37:21,279 Speaker 1: anything worse you tune in? You're like, I just want 607 00:37:21,280 --> 00:37:25,360 Speaker 1: to hear Buck today and then you get me brutal. 608 00:37:26,080 --> 00:37:29,080 Speaker 1: But I think we got some good stuff for you today. First, 609 00:37:29,400 --> 00:37:32,840 Speaker 1: let's start with this, start this hour with the carjacking 610 00:37:33,120 --> 00:37:35,960 Speaker 1: in DC. Have you seen the video? It's awful. Now, 611 00:37:36,000 --> 00:37:39,440 Speaker 1: let me be clear with carjacking. Carjacking is different than 612 00:37:39,560 --> 00:37:43,000 Speaker 1: stealing a car. So carjacking is different than grand theft auto. 613 00:37:43,360 --> 00:37:46,759 Speaker 1: Grand theft auto or auto theft happens all the time. Carjacking, 614 00:37:46,960 --> 00:37:51,920 Speaker 1: it's very different. Someone is in the car, someone is 615 00:37:52,000 --> 00:37:55,080 Speaker 1: driving the car as you steal it from them. That 616 00:37:55,239 --> 00:37:59,520 Speaker 1: is a car jacking important to know. In DC there 617 00:37:59,520 --> 00:38:03,680 Speaker 1: have been ninety five of these in the last three months. 618 00:38:03,920 --> 00:38:10,440 Speaker 1: Ninety five carjackings and twenty three juveniles arrested for carjacking 619 00:38:10,560 --> 00:38:14,319 Speaker 1: just this year. Honestly, if you asked me how many carjacking, 620 00:38:14,560 --> 00:38:17,439 Speaker 1: you're telling me someone's driving a car, there's a stop 621 00:38:17,480 --> 00:38:19,399 Speaker 1: player or something and someone comes up with a gun 622 00:38:19,480 --> 00:38:20,680 Speaker 1: or something and tells them to get out of the 623 00:38:20,719 --> 00:38:22,120 Speaker 1: car and they steal the car right from the If 624 00:38:22,120 --> 00:38:23,719 Speaker 1: you if you asked me how many times does that 625 00:38:23,800 --> 00:38:27,280 Speaker 1: happen in a year, I'd be like, oh, like once? 626 00:38:27,480 --> 00:38:32,040 Speaker 1: Like who like the brazenness of that? How about ninety 627 00:38:32,080 --> 00:38:35,320 Speaker 1: five times in DC in the last three months. Happens 628 00:38:35,320 --> 00:38:40,839 Speaker 1: once a day. So it's kind of hard to tell 629 00:38:40,880 --> 00:38:43,760 Speaker 1: exactly what's happening in this video that's been shared around. 630 00:38:44,000 --> 00:38:45,759 Speaker 1: We've aired it on our TV show. I'll put it 631 00:38:45,800 --> 00:38:51,120 Speaker 1: on the website, make a note here, carjacking. I'll put 632 00:38:51,160 --> 00:38:52,799 Speaker 1: on Mike's letter out locals dot com and you can watch. 633 00:38:52,800 --> 00:38:54,480 Speaker 1: I think it's important to watch. Although it's a video 634 00:38:54,480 --> 00:38:57,400 Speaker 1: of someone dying, someone being murdered. So there's a sixty 635 00:38:57,440 --> 00:39:02,640 Speaker 1: six year old immigrant from Pakistan in sixty six year 636 00:39:02,680 --> 00:39:07,760 Speaker 1: old immigrant from Pakistan. The video starts with him hanging 637 00:39:07,760 --> 00:39:09,920 Speaker 1: out of the driver's side of the cars. There's car 638 00:39:10,000 --> 00:39:12,239 Speaker 1: door's open, driver's side car door open. He's hanging, he's 639 00:39:12,239 --> 00:39:15,000 Speaker 1: half in, half out, and he's calling for help. He says, 640 00:39:15,040 --> 00:39:17,879 Speaker 1: this is my car. This is my car. And there's 641 00:39:17,920 --> 00:39:24,320 Speaker 1: two people on the sidewalk. One is taping this phone 642 00:39:24,480 --> 00:39:26,160 Speaker 1: and the others standing next to him, and they're all 643 00:39:26,200 --> 00:39:29,120 Speaker 1: wondering what's going on. And the guy filming is, oh, this, 644 00:39:29,200 --> 00:39:31,440 Speaker 1: this is this man's car. They're taking his car. And 645 00:39:31,480 --> 00:39:33,520 Speaker 1: the woman goes they're stealing his car? Like what, like, 646 00:39:33,600 --> 00:39:35,200 Speaker 1: what's like the same thing? I would be like a 647 00:39:35,239 --> 00:39:38,759 Speaker 1: gas Like what are you talking about? And then the 648 00:39:38,840 --> 00:39:42,680 Speaker 1: car drives off. Now I don't know who pressed the pedal. 649 00:39:42,719 --> 00:39:44,719 Speaker 1: I don't know if the person that I don't know 650 00:39:44,760 --> 00:39:46,719 Speaker 1: if the driver or the person who's trying to steal it. 651 00:39:48,239 --> 00:39:49,840 Speaker 1: But I'm sorry I left out the main part of 652 00:39:49,880 --> 00:39:52,520 Speaker 1: the story here. The two people who are stealing his 653 00:39:52,560 --> 00:40:02,360 Speaker 1: car is a sixteen and thirteen year old girl. A 654 00:40:02,560 --> 00:40:05,560 Speaker 1: sixteen and thirteen year old girl are still in this 655 00:40:05,680 --> 00:40:11,440 Speaker 1: man's car. So the car drives off and that it 656 00:40:11,560 --> 00:40:14,080 Speaker 1: hits like a it's like a post on the sidewalk 657 00:40:14,120 --> 00:40:15,759 Speaker 1: on the other side of the street. So the car 658 00:40:15,880 --> 00:40:18,319 Speaker 1: hits the side, door hits the post, slams shut right. 659 00:40:18,360 --> 00:40:20,400 Speaker 1: The guy's hanging out of it, and you don't hear 660 00:40:20,400 --> 00:40:22,160 Speaker 1: anything from and then a couple seconds later you hear 661 00:40:22,160 --> 00:40:24,520 Speaker 1: this horrific crash. It's like out of a movie, a 662 00:40:24,640 --> 00:40:27,720 Speaker 1: huge loud crash like echoes through the cavern of the buildings. 663 00:40:27,800 --> 00:40:31,640 Speaker 1: And the guy runs after the runs to the crash, 664 00:40:31,680 --> 00:40:36,360 Speaker 1: and then you see the car on its side, and 665 00:40:36,480 --> 00:40:40,040 Speaker 1: you see these two young girls climb out, and there's 666 00:40:40,040 --> 00:40:42,279 Speaker 1: some National guardsmen who are there to help them out. 667 00:40:42,280 --> 00:40:44,520 Speaker 1: They're there because apparently the capital is still under threat 668 00:40:44,520 --> 00:40:47,359 Speaker 1: from Maga Trump supporters or something. That's the most ridiculous thing. 669 00:40:48,280 --> 00:40:50,040 Speaker 1: But these two girls, they come out of the car 670 00:40:50,560 --> 00:40:53,359 Speaker 1: and you see the owner of the car, the man 671 00:40:53,960 --> 00:41:00,120 Speaker 1: lying dead on the sidewalk. Now a guardsman. He tells 672 00:41:00,120 --> 00:41:01,799 Speaker 1: everyone to step back from the car because there's gas 673 00:41:01,920 --> 00:41:05,879 Speaker 1: leaking out of it. And at that moment you hear 674 00:41:05,920 --> 00:41:15,600 Speaker 1: one of the girls say, wait, my phone is in there. Wait, 675 00:41:18,800 --> 00:41:21,920 Speaker 1: my phone is in there. She is standing and I'm 676 00:41:21,920 --> 00:41:32,480 Speaker 1: not exaggerating two feet from this man's dead body. Police 677 00:41:32,520 --> 00:41:36,359 Speaker 1: say there was a taser involved. She'll see is at 678 00:41:36,360 --> 00:41:41,080 Speaker 1: this moment is standing too, maybe three feet from this 679 00:41:41,120 --> 00:41:49,240 Speaker 1: man's dead body who she just tazard and killed, and says, wait, 680 00:41:52,800 --> 00:41:59,959 Speaker 1: my phone is in there now. It was two black 681 00:42:00,200 --> 00:42:03,520 Speaker 1: girls who did this, so therefore it can't be their fault. 682 00:42:04,560 --> 00:42:08,279 Speaker 1: It's got to be blamed on white supremacy somehow. At 683 00:42:08,280 --> 00:42:11,239 Speaker 1: first CNN tried to explain it away. They sent out 684 00:42:11,239 --> 00:42:14,560 Speaker 1: this tweet. Police said the girls thirteen and fifteen, assaulted 685 00:42:14,600 --> 00:42:17,440 Speaker 1: an Uber Eads driver with a taser while carjacking him, 686 00:42:17,800 --> 00:42:21,960 Speaker 1: which led to an accident in which he was fatally injured. 687 00:42:23,440 --> 00:42:28,960 Speaker 1: Holy cow, that is a tortured description of what happened. 688 00:42:29,040 --> 00:42:33,040 Speaker 1: First of all, fatally injured is a weird thing. Murdered 689 00:42:33,520 --> 00:42:37,000 Speaker 1: or killed you say killed, right, killed? An accident which 690 00:42:37,000 --> 00:42:40,759 Speaker 1: he was killed fatally injured is a weird, especially because 691 00:42:40,760 --> 00:42:43,920 Speaker 1: he's dead on the ground. But also how about that 692 00:42:43,920 --> 00:42:49,560 Speaker 1: this it just led to an led to an accident. 693 00:42:49,920 --> 00:42:53,200 Speaker 1: It was a little It was an incident, misunderstanding, a little, 694 00:42:53,280 --> 00:42:56,759 Speaker 1: just a little something that led to an accident with 695 00:42:56,880 --> 00:43:00,799 Speaker 1: an injury. No, no murder. To buy a thirteen and 696 00:43:00,840 --> 00:43:05,920 Speaker 1: fifteen year old girl in broad daylight. Now, I am 697 00:43:06,080 --> 00:43:11,040 Speaker 1: certain that these two girls have no fathers at home, 698 00:43:11,440 --> 00:43:18,040 Speaker 1: certain of them. Think what environment must these two girls 699 00:43:18,080 --> 00:43:21,040 Speaker 1: be living in that would lead them to do something 700 00:43:21,080 --> 00:43:29,320 Speaker 1: like this? How callous and heartless and cold and broken 701 00:43:29,360 --> 00:43:31,759 Speaker 1: are you inside? And I don't, let me be clear, 702 00:43:31,840 --> 00:43:35,000 Speaker 1: I don't blame the girls as much as the people 703 00:43:35,040 --> 00:43:39,440 Speaker 1: around them, the adults around them. I don't know what 704 00:43:39,480 --> 00:43:40,960 Speaker 1: the justice system of it, and I don't know what 705 00:43:40,960 --> 00:43:43,040 Speaker 1: it looks like a DC or any other state where 706 00:43:43,120 --> 00:43:45,640 Speaker 1: adults are held accountable for the actions of juveniles. I 707 00:43:45,640 --> 00:43:46,680 Speaker 1: don't know what that is, and I don't know what 708 00:43:46,719 --> 00:43:49,040 Speaker 1: that would even look like. And obviously it's been thought 709 00:43:49,040 --> 00:43:52,080 Speaker 1: about before, and but what does that look like? Right 710 00:43:52,120 --> 00:43:54,000 Speaker 1: when you have a thirteen year old girl fifteen year 711 00:43:54,000 --> 00:44:02,239 Speaker 1: old girl who actively do this, What responsibility does the 712 00:44:02,360 --> 00:44:07,319 Speaker 1: absent dad have? What responsibility does the mom have? I don't. 713 00:44:07,360 --> 00:44:12,400 Speaker 1: I don't know, at least legally, I don't know. Morally, 714 00:44:12,440 --> 00:44:16,319 Speaker 1: I know very much how much I know all of it, 715 00:44:19,840 --> 00:44:22,239 Speaker 1: And oh there's as well. But think I think about 716 00:44:22,239 --> 00:44:29,640 Speaker 1: the environment of so heartless to fellow human life to 717 00:44:29,880 --> 00:44:34,200 Speaker 1: first try and steal someone's car, start with that with 718 00:44:34,320 --> 00:44:36,319 Speaker 1: a taser, right sixty six year old man. Right, so 719 00:44:36,440 --> 00:44:39,960 Speaker 1: talk about respecting elders. Right. Second, drive the car as 720 00:44:39,960 --> 00:44:42,680 Speaker 1: he's hanging out of it, which kills him, right, like 721 00:44:42,719 --> 00:44:45,879 Speaker 1: they're they're that heartless. And then three, be worried about 722 00:44:45,920 --> 00:44:48,560 Speaker 1: your cell phone. Like we talk about narcissism on the 723 00:44:48,560 --> 00:44:50,520 Speaker 1: show all the time. You're the center of the universe 724 00:44:51,960 --> 00:44:56,960 Speaker 1: that doesn't even begin this way past narcissism. And this 725 00:44:57,040 --> 00:45:00,799 Speaker 1: is an entire broken culture which lee to people doing 726 00:45:00,840 --> 00:45:02,799 Speaker 1: such a depraved act. And it's not just this, it's 727 00:45:02,800 --> 00:45:04,399 Speaker 1: not only this is the one depraved act of the day. 728 00:45:06,040 --> 00:45:08,640 Speaker 1: It's all over the place. Now you're not allowed to 729 00:45:08,680 --> 00:45:11,399 Speaker 1: ask any questions about it, just to be clear, right, 730 00:45:11,920 --> 00:45:17,080 Speaker 1: You can't ask about broken families. You can't say anything 731 00:45:17,120 --> 00:45:20,480 Speaker 1: about no dad's in the picture. Goodness, No, it's racist. 732 00:45:21,280 --> 00:45:24,520 Speaker 1: You can't ask about the lack of God and church 733 00:45:24,719 --> 00:45:32,560 Speaker 1: as the center of our society's existence and our child's focus. 734 00:45:34,800 --> 00:45:38,040 Speaker 1: You can't talk about broken school districts that are violent 735 00:45:38,080 --> 00:45:41,879 Speaker 1: and dangerous that no one can read. We can't talk 736 00:45:41,920 --> 00:45:45,919 Speaker 1: about rampant nihilism and drug use and sex and little 737 00:45:46,040 --> 00:45:49,120 Speaker 1: Nazacs selling Satan sneakers to kids. You can't talk about 738 00:45:49,120 --> 00:45:53,560 Speaker 1: those things that clearly led to this. You can't do that, 739 00:45:53,600 --> 00:45:55,920 Speaker 1: you could because are you blaming that, You're blaming the victim. 740 00:45:55,960 --> 00:45:59,960 Speaker 1: You can only either brush it off as an act 741 00:46:00,000 --> 00:46:05,239 Speaker 1: incident or blame white society and white white, white white supremacy. 742 00:46:05,320 --> 00:46:08,080 Speaker 1: And I look forward to the think pieces. Oh, these 743 00:46:08,800 --> 00:46:14,719 Speaker 1: these young girls were forced into crime by a society 744 00:46:14,760 --> 00:46:21,319 Speaker 1: that refuses to recognize the contributions of brown women. And 745 00:46:21,480 --> 00:46:26,040 Speaker 1: these ladies they sought justice in a capitalist system that 746 00:46:26,080 --> 00:46:28,640 Speaker 1: they're victims of, and they sought it against a white 747 00:46:28,640 --> 00:46:30,440 Speaker 1: man or some such nonsense like that. They're gonna get 748 00:46:30,440 --> 00:46:33,200 Speaker 1: away with that, and nothing's going to change because you're 749 00:46:33,239 --> 00:46:35,040 Speaker 1: never allowed to address any of the roote issues. And 750 00:46:35,040 --> 00:46:36,800 Speaker 1: this is why I share the Henry David throw quote. 751 00:46:36,800 --> 00:46:39,920 Speaker 1: Pretty much every single day, there are thousands hacking at 752 00:46:39,960 --> 00:46:44,080 Speaker 1: the branches of evil. To everyone who strikes the root. Now, 753 00:46:44,760 --> 00:46:48,279 Speaker 1: that's the root culture, family culture, that's the root. Bottom line. Now, 754 00:46:48,320 --> 00:46:50,160 Speaker 1: if you want to hack at a pretty important branch, 755 00:46:51,120 --> 00:46:52,960 Speaker 1: then you have to talk about our criminal justice system. 756 00:46:52,960 --> 00:46:54,600 Speaker 1: Now they're gonna say, oh, these girls are victims of 757 00:46:54,680 --> 00:47:02,600 Speaker 1: the criminal justicism nonsense. Let's talking about policy. San Francisco 758 00:47:04,200 --> 00:47:07,680 Speaker 1: rampant crime and homelessness, the whole thing. You would think 759 00:47:07,719 --> 00:47:09,760 Speaker 1: the people of San Francisco would come back and elect 760 00:47:09,800 --> 00:47:13,759 Speaker 1: a DA that is hard on crime, but no, they 761 00:47:13,800 --> 00:47:18,040 Speaker 1: elected Chessa Boudin. Chessa Boudine's parents are in prison. They 762 00:47:18,040 --> 00:47:21,879 Speaker 1: were members of the Weather Underground and they robbed an 763 00:47:21,960 --> 00:47:24,480 Speaker 1: armored car which led to the death of three police officers, 764 00:47:24,480 --> 00:47:26,640 Speaker 1: so they were thrown in jail. Cheza was a young boy. 765 00:47:26,719 --> 00:47:29,920 Speaker 1: He was raised by Bill Ayers from the Weather Underground. 766 00:47:30,080 --> 00:47:32,560 Speaker 1: He went to go work for Hugo Chavias in Venezuela 767 00:47:32,640 --> 00:47:34,600 Speaker 1: and he just got elected to be the DA of 768 00:47:34,680 --> 00:47:37,399 Speaker 1: San Francisco. He's the one who decides which crimes get 769 00:47:37,440 --> 00:47:40,640 Speaker 1: enforced and which ones don't. And he was elected on 770 00:47:40,680 --> 00:47:44,720 Speaker 1: the platform of I will not enforce these this giant 771 00:47:44,760 --> 00:47:49,120 Speaker 1: list of crimes that are destroying San Francisco, and the 772 00:47:49,160 --> 00:47:51,480 Speaker 1: same is true for nearly every city in America. George 773 00:47:51,480 --> 00:47:54,520 Speaker 1: Soros decided, I'm not going to put money into electing congressman. 774 00:47:54,600 --> 00:47:56,799 Speaker 1: That's a waste of money. It costs a ton of money, 775 00:47:56,800 --> 00:47:58,160 Speaker 1: you only get two years out of it, and what 776 00:47:58,160 --> 00:48:01,239 Speaker 1: can its single congressman do instead. George Soros, maybe ten 777 00:48:01,280 --> 00:48:04,920 Speaker 1: years ago, decided to put money in DA's races super cheap. No, 778 00:48:05,160 --> 00:48:06,719 Speaker 1: you got a ton of bang for your buck. No 779 00:48:06,760 --> 00:48:10,640 Speaker 1: one pays attention to them, and das have a ton 780 00:48:10,760 --> 00:48:16,160 Speaker 1: of discretion on what to do with the criminal justice system. 781 00:48:16,160 --> 00:48:19,640 Speaker 1: And these cities are doubling down on the policies that 782 00:48:19,719 --> 00:48:22,480 Speaker 1: lead to more of this. So if you don't strike 783 00:48:22,520 --> 00:48:25,480 Speaker 1: the root of the broken culture, right, if we're not 784 00:48:25,480 --> 00:48:28,120 Speaker 1: allowed to question the things that lead to this morally, 785 00:48:28,960 --> 00:48:32,319 Speaker 1: and because on top of that, we double down on 786 00:48:32,520 --> 00:48:35,600 Speaker 1: terrible policy and elect DA's that let crime run rampant 787 00:48:36,000 --> 00:48:39,000 Speaker 1: like carjackings again ninety five so far this year in 788 00:48:39,120 --> 00:48:43,120 Speaker 1: DC alone. Of course, you can't be surprised as something 789 00:48:43,160 --> 00:48:49,279 Speaker 1: horrific like this happens. Question is anyone going to try 790 00:48:49,280 --> 00:48:54,439 Speaker 1: to do anything to stop it? I got a great 791 00:48:54,480 --> 00:48:59,480 Speaker 1: Abraham Lincoln story on this, not carjackings specifically, but on 792 00:48:59,520 --> 00:49:02,359 Speaker 1: this that's a bigger point. Next to Mike Slater, Dot 793 00:49:02,400 --> 00:49:04,680 Speaker 1: locals dot com will put that video out there so 794 00:49:04,719 --> 00:49:06,960 Speaker 1: you can see it for yourself. Micslater, Dot locals dot 795 00:49:06,960 --> 00:49:08,839 Speaker 1: com spread the word. It's going on Team Buck. Mike 796 00:49:08,920 --> 00:49:11,120 Speaker 1: Slater filling in for Buck Sexton. I'll see if I 797 00:49:11,160 --> 00:49:12,720 Speaker 1: can do this in five minutes. One of my favorite 798 00:49:12,719 --> 00:49:16,120 Speaker 1: speeches of all time is Abraham Lincoln's speech well before 799 00:49:16,120 --> 00:49:18,239 Speaker 1: he was President's called the Lyceum Address. I'll put it 800 00:49:18,280 --> 00:49:21,080 Speaker 1: on our website micslater dot locals dot com. And he's 801 00:49:21,480 --> 00:49:24,080 Speaker 1: talked about what the end of America will look like. 802 00:49:25,239 --> 00:49:29,200 Speaker 1: He says, shall we expect some transatlantic military giant to 803 00:49:29,360 --> 00:49:32,759 Speaker 1: step the ocean and crush us at a blow? Never, 804 00:49:33,520 --> 00:49:36,560 Speaker 1: all the armies of Europe, Asia and Africa, combined with 805 00:49:36,719 --> 00:49:39,719 Speaker 1: all the treasure of the earth in its military chest, 806 00:49:39,880 --> 00:49:43,360 Speaker 1: with a bonaparte for a commander, could not by force 807 00:49:43,440 --> 00:49:46,480 Speaker 1: take a drink from the Ohio River, or make a 808 00:49:46,560 --> 00:49:49,120 Speaker 1: tract on the Blue Ridge, in a trail of a 809 00:49:49,239 --> 00:49:53,560 Speaker 1: thousand years. So at what point, then, is the approach 810 00:49:53,600 --> 00:49:57,080 Speaker 1: of danger to be expected? Well, I answer, if it 811 00:49:57,160 --> 00:50:03,160 Speaker 1: ever reached us, it must spring up amongst us. Our 812 00:50:03,200 --> 00:50:07,840 Speaker 1: destruction cannot come from abroad. Now. If destruction be our lot, 813 00:50:08,600 --> 00:50:15,120 Speaker 1: we must ourselves be its author and finisher. As a 814 00:50:15,239 --> 00:50:19,520 Speaker 1: nation of freemen, we must live through our time, or 815 00:50:19,520 --> 00:50:22,640 Speaker 1: it excuse me to live through all time or die 816 00:50:22,719 --> 00:50:31,080 Speaker 1: by suicide. The background to this speech, just two weeks prior, 817 00:50:33,160 --> 00:50:35,640 Speaker 1: there was a man of mixed race twenty six years old. 818 00:50:35,680 --> 00:50:37,600 Speaker 1: His name is Francis Macintosh. He was working on a 819 00:50:37,640 --> 00:50:40,200 Speaker 1: steamboat in Saint Louis and he got off the boat 820 00:50:40,239 --> 00:50:42,160 Speaker 1: and there were two police officers who were chasing after 821 00:50:42,200 --> 00:50:46,239 Speaker 1: someone else, and they asked Macintosh for help to help 822 00:50:46,320 --> 00:50:48,000 Speaker 1: us chase this guy, and he said, he's not going 823 00:50:48,040 --> 00:50:50,440 Speaker 1: to help. I don't know why he didn't. He said, no, 824 00:50:50,480 --> 00:50:52,640 Speaker 1: he may have been busy, I don't know what. And 825 00:50:52,719 --> 00:50:56,719 Speaker 1: the police arrested him for interfering with the arrest and 826 00:50:56,800 --> 00:50:58,640 Speaker 1: as they were taking him to jail, he asked how 827 00:50:58,640 --> 00:51:00,200 Speaker 1: long he was going to be sentenced, because this is 828 00:51:00,280 --> 00:51:02,920 Speaker 1: ridiculous what was going on here, and the two officers 829 00:51:02,960 --> 00:51:07,080 Speaker 1: said five years. So he freaked out. He escaped and 830 00:51:07,080 --> 00:51:08,960 Speaker 1: he stabbed them both. He killed one of the officers 831 00:51:09,040 --> 00:51:12,319 Speaker 1: right there on the spot, injured the other. So he 832 00:51:12,400 --> 00:51:16,080 Speaker 1: ran away. They foundly they got him pretty quickly after, 833 00:51:17,000 --> 00:51:21,640 Speaker 1: and that night a mob broke into the jail and 834 00:51:21,800 --> 00:51:26,160 Speaker 1: took him out, tied him to a tree, put a 835 00:51:26,200 --> 00:51:28,080 Speaker 1: bunch of wood around him, and burned him on the tree. 836 00:51:29,000 --> 00:51:34,359 Speaker 1: That was the context of Abraham Lincoln speech. And that's 837 00:51:34,360 --> 00:51:36,320 Speaker 1: the whole like right, that's that's that's that was the 838 00:51:36,360 --> 00:51:40,560 Speaker 1: beginning of it. And then he went into the how 839 00:51:40,800 --> 00:51:42,920 Speaker 1: what's going to be the end of us? Not another 840 00:51:43,000 --> 00:51:49,400 Speaker 1: nation coming into invade, it's us. How specific lawlessness mobs 841 00:51:49,440 --> 00:51:56,440 Speaker 1: savage mobs. Now, back then the mob was burning people. 842 00:51:57,120 --> 00:52:00,239 Speaker 1: We do a much cleaner and kinder version of that online, 843 00:52:00,719 --> 00:52:05,320 Speaker 1: destroying people's lives for kicks. But it's the same mob mentality, 844 00:52:06,600 --> 00:52:08,720 Speaker 1: he said. When men take it in their heads today 845 00:52:08,800 --> 00:52:13,480 Speaker 1: to hang gamblers or burn murderers, they should recollect that 846 00:52:13,560 --> 00:52:17,160 Speaker 1: in the confusion usually attending such transactions, they will be 847 00:52:17,200 --> 00:52:19,479 Speaker 1: as likely to hang or burn someone who is neither 848 00:52:19,520 --> 00:52:22,040 Speaker 1: a gambler nor a murderer as one who is. And that, 849 00:52:22,239 --> 00:52:26,640 Speaker 1: acting upon the example, they said, a mob of tomorrow 850 00:52:27,760 --> 00:52:31,360 Speaker 1: probably will hang or burn some of them by the 851 00:52:31,560 --> 00:52:35,799 Speaker 1: very same mistake. He says, you abide by this mob mentality, 852 00:52:36,000 --> 00:52:39,759 Speaker 1: you're gonna kill innocent people. But then they're gonna come 853 00:52:39,800 --> 00:52:45,040 Speaker 1: after you. The mob's gonna turn on you eventually. While 854 00:52:45,040 --> 00:52:48,919 Speaker 1: on the other hand, good men, men who love tranquility, 855 00:52:49,400 --> 00:52:53,920 Speaker 1: who desire to abide by the laws and enjoy their benefits, 856 00:52:55,200 --> 00:52:57,319 Speaker 1: who will gladly spill their blood in the defense of 857 00:52:57,320 --> 00:53:03,399 Speaker 1: their country, seeing their property to droid, their families, insulted, 858 00:53:04,840 --> 00:53:09,840 Speaker 1: their lives endangered, and uber eats driver just working on 859 00:53:10,040 --> 00:53:17,160 Speaker 1: a weekend afternoon in broad daylight, murdered by a thirteen 860 00:53:17,239 --> 00:53:24,600 Speaker 1: and fifteen year old girl, tasered and murdered, their persons, injured, 861 00:53:24,640 --> 00:53:27,920 Speaker 1: ban to Abraham Lincoln, and seeing nothing in prospect that 862 00:53:28,040 --> 00:53:30,799 Speaker 1: forebodes a change for the better, become tired of and 863 00:53:30,880 --> 00:53:36,319 Speaker 1: disgusted with a government that offers them no protection, and 864 00:53:36,400 --> 00:53:38,480 Speaker 1: are not much adverse to a change in which they 865 00:53:38,520 --> 00:53:41,960 Speaker 1: imagine they have nothing to lose. So his point was 866 00:53:42,000 --> 00:53:45,439 Speaker 1: that this mom mentality affects good men because they throw 867 00:53:45,480 --> 00:53:50,080 Speaker 1: up their hands, like, what's the point otherwise? And a 868 00:53:50,120 --> 00:53:58,080 Speaker 1: country like this can't last. Mobs beget mobs, violence begets violence. 869 00:53:58,680 --> 00:54:01,320 Speaker 1: I gotta go here. There's any other amazing points to 870 00:54:02,320 --> 00:54:04,200 Speaker 1: the speech. I'll put it on the website mics later 871 00:54:04,239 --> 00:54:05,840 Speaker 1: at locals dot com. It's worth taking a couple of 872 00:54:05,840 --> 00:54:08,120 Speaker 1: minutes to read the whole thing. But Abraham Lincoln saw 873 00:54:08,120 --> 00:54:10,600 Speaker 1: it back then. He saw the violence in the chaos 874 00:54:10,600 --> 00:54:13,160 Speaker 1: bubbling and brewing. He saw the mob violence. He saw 875 00:54:13,239 --> 00:54:15,760 Speaker 1: the immoral behavior, he saw the passion and the anger. 876 00:54:16,400 --> 00:54:22,360 Speaker 1: He tried to stop it, but human nature was too much. 877 00:54:25,080 --> 00:54:29,200 Speaker 1: Can we stopped the path we're on today? I don't 878 00:54:29,200 --> 00:54:30,839 Speaker 1: know to go back to the last sement when we're 879 00:54:30,840 --> 00:54:33,360 Speaker 1: not allowed to address the root causes of these issues, 880 00:54:33,400 --> 00:54:36,520 Speaker 1: the culture and the family issues. And then even on 881 00:54:36,560 --> 00:54:39,760 Speaker 1: the policy, like maybe we could, we could hold back 882 00:54:40,280 --> 00:54:43,000 Speaker 1: the corruption and the depravity, we could hold it back 883 00:54:43,280 --> 00:54:46,879 Speaker 1: with laws, but we're not even doing that, not even 884 00:54:46,880 --> 00:54:48,799 Speaker 1: allowed to do that, and we're doubling down on these 885 00:54:48,880 --> 00:54:53,120 Speaker 1: lawless DA's in these sit in our cities. Thought I 886 00:54:53,160 --> 00:54:55,960 Speaker 1: got logged in that last Even when people try to 887 00:54:56,000 --> 00:54:57,360 Speaker 1: do good, let me come back with the story. Now, 888 00:54:57,440 --> 00:54:59,880 Speaker 1: you're not gonna believe the story. Even when people tried 889 00:55:00,040 --> 00:55:04,399 Speaker 1: you do good, they're shut down. You're not gonna believe. 890 00:55:04,440 --> 00:55:06,239 Speaker 1: I got two stories out of San Francisco to prove 891 00:55:06,280 --> 00:55:08,239 Speaker 1: this one. These are people trying to do good and 892 00:55:08,280 --> 00:55:10,480 Speaker 1: they're shut down because of it. We'll do us next. 893 00:55:10,560 --> 00:55:12,839 Speaker 1: Mike Slater dot locals dot com. That's our website. Please 894 00:55:12,920 --> 00:55:15,239 Speaker 1: join us there, Mike Slater out locals dot com. Mike 895 00:55:15,280 --> 00:55:17,399 Speaker 1: Slater filling in for Buck Sexton. Spread the word. It's 896 00:55:17,400 --> 00:55:20,360 Speaker 1: going on Team Buck. Mikes later San Diego filling it 897 00:55:20,440 --> 00:55:24,839 Speaker 1: for Buck. He's gonna be back on Wednesday. They're like, Oh, 898 00:55:24,840 --> 00:55:27,120 Speaker 1: I feel the same way, but I'm really glad to 899 00:55:27,160 --> 00:55:29,040 Speaker 1: be here. In the meantime, I look forward to Bucks 900 00:55:29,280 --> 00:55:31,400 Speaker 1: return as well Mikes later out locals dot com is 901 00:55:31,440 --> 00:55:32,839 Speaker 1: our website. You can join us over there and hang 902 00:55:32,840 --> 00:55:35,200 Speaker 1: out with us, you know, all the time. Buck and 903 00:55:35,239 --> 00:55:37,200 Speaker 1: I both have TV shows on the First, So we've 904 00:55:37,239 --> 00:55:39,480 Speaker 1: been friends for a long time, but we're always working together. 905 00:55:39,920 --> 00:55:42,000 Speaker 1: We're always on the same We're on the Blaze Radio 906 00:55:42,040 --> 00:55:43,640 Speaker 1: Back of the Day and now we're on the First together, 907 00:55:43,680 --> 00:55:46,200 Speaker 1: and an honor to fill in for Buck today. Gratefully 908 00:55:46,200 --> 00:55:47,839 Speaker 1: you're here. So coming up in this segment, I want 909 00:55:47,840 --> 00:55:50,640 Speaker 1: to share this just just bonker story of when good 910 00:55:50,640 --> 00:55:54,000 Speaker 1: people try to do good things out of the goodness 911 00:55:54,000 --> 00:55:57,840 Speaker 1: of their heart, even they're vilified because of it. So 912 00:55:57,840 --> 00:56:00,680 Speaker 1: it's one thing to not stop people doing bad things, 913 00:56:01,000 --> 00:56:02,680 Speaker 1: or was what we talked about in the last two sements, 914 00:56:02,920 --> 00:56:05,960 Speaker 1: But it's another thing to stop people from doing good things. 915 00:56:07,880 --> 00:56:11,160 Speaker 1: Then what do we do do that? Next? First, Express 916 00:56:11,239 --> 00:56:13,759 Speaker 1: VPN Do you have this yet? This is a good 917 00:56:13,800 --> 00:56:18,359 Speaker 1: thing when you do anything online, watch a video, click 918 00:56:18,400 --> 00:56:20,640 Speaker 1: a link. It's all tracked by big tech. That's how 919 00:56:20,640 --> 00:56:23,560 Speaker 1: they make their money. Right, all that stuff's free because 920 00:56:23,560 --> 00:56:25,520 Speaker 1: they track you and they sell your data. Like, that's 921 00:56:25,520 --> 00:56:30,160 Speaker 1: the business model. I'll never forget when Bucks, when Zuckerberg 922 00:56:30,400 --> 00:56:33,000 Speaker 1: Mark Zuckerberg, he did, he testified, he was like, oh no, 923 00:56:33,080 --> 00:56:35,160 Speaker 1: we don't track anyone. It's like, what are you talking about? 924 00:56:35,520 --> 00:56:38,040 Speaker 1: That is your business model. That's the only way you 925 00:56:38,080 --> 00:56:40,720 Speaker 1: make money. That's why you're a giant company. You track 926 00:56:40,800 --> 00:56:46,160 Speaker 1: people's data and sell it. That's the point that's so bizarre. 927 00:56:46,200 --> 00:56:50,239 Speaker 1: So don't give him any more money. Don't don't let 928 00:56:50,360 --> 00:56:54,759 Speaker 1: him sell you anymore. With Express vpn out now these 929 00:56:54,760 --> 00:56:57,960 Speaker 1: companies they don't see your IP address and it's all 930 00:56:58,040 --> 00:57:01,279 Speaker 1: encrypted and maximum protection. It works for your phone two 931 00:57:02,040 --> 00:57:04,920 Speaker 1: and just tap one button, boom, You're protected pretty good. 932 00:57:05,000 --> 00:57:08,520 Speaker 1: Express vpn dot com slash buck and you get three 933 00:57:08,560 --> 00:57:13,280 Speaker 1: months free and they're not selling you anymore. Express vpn 934 00:57:13,600 --> 00:57:17,480 Speaker 1: dot com, slash buck. To learn more, it's going on 935 00:57:17,520 --> 00:57:20,360 Speaker 1: Team Buck. Mike Slater in San Diego filling it from 936 00:57:20,360 --> 00:57:23,360 Speaker 1: Buck Sexton Mike Slater dot locals dot com. That's our website. 937 00:57:23,360 --> 00:57:25,080 Speaker 1: A lot of people joined us the last couple of 938 00:57:25,160 --> 00:57:28,240 Speaker 1: days on the website, which is great. I'm grateful for that. 939 00:57:28,280 --> 00:57:30,200 Speaker 1: I'm grateful for Buck letting me be here. He's gonna 940 00:57:30,200 --> 00:57:32,920 Speaker 1: be back on Wednesday. I can't wait for that. So 941 00:57:32,960 --> 00:57:36,040 Speaker 1: we've been talking about We started with the carjacking in DC. 942 00:57:36,440 --> 00:57:38,640 Speaker 1: Then we got into Abraham Lincoln's address from at think 943 00:57:38,680 --> 00:57:41,480 Speaker 1: eighteen thirty eight, and he's talking about how it's not 944 00:57:41,520 --> 00:57:43,160 Speaker 1: gonna take a foreign nation, a foign nation, is not 945 00:57:43,200 --> 00:57:46,440 Speaker 1: going to take us down. Doesn't matter strongest military in 946 00:57:46,480 --> 00:57:48,360 Speaker 1: the world, all the treasure, all the money in the world, 947 00:57:48,600 --> 00:57:51,040 Speaker 1: and the Napoleon bone apart as your commander, no one 948 00:57:51,120 --> 00:57:53,640 Speaker 1: is going to come across the America, come across the 949 00:57:53,640 --> 00:57:56,840 Speaker 1: oceans to kill us. It's gonna come from within. The 950 00:57:56,880 --> 00:58:01,120 Speaker 1: downfalls are gonna come from within. And we made the 951 00:58:01,120 --> 00:58:06,560 Speaker 1: point that it's it's bad enough that you can't criticize 952 00:58:06,600 --> 00:58:10,360 Speaker 1: bad behavior, right, it's bad enough you can't call that out. 953 00:58:11,240 --> 00:58:13,520 Speaker 1: But now I got a story for you where good 954 00:58:13,560 --> 00:58:18,360 Speaker 1: behavior is being called out. Butch goes back to Isaiah 955 00:58:18,400 --> 00:58:20,920 Speaker 1: that we quoted earlier with little nas and Little Nasax 956 00:58:21,040 --> 00:58:24,240 Speaker 1: his new Satan dot shoes, his new Satan sneakers. Woe 957 00:58:24,280 --> 00:58:27,360 Speaker 1: to those who call evil good and good evil, And 958 00:58:27,400 --> 00:58:30,640 Speaker 1: that's the theme of the show to down. All right, 959 00:58:30,720 --> 00:58:37,880 Speaker 1: check this out on There's Anything. We're a start here. 960 00:58:38,640 --> 00:58:41,720 Speaker 1: M yeah, let me just jump into him. So Chris 961 00:58:41,720 --> 00:58:47,080 Speaker 1: saka Chris Saca, he is a venture capitalist. He was 962 00:58:47,120 --> 00:58:50,520 Speaker 1: on Shark Tank. It's like he was a guest shark 963 00:58:50,600 --> 00:58:55,720 Speaker 1: for a couple of years. Right, big time democrat, worked 964 00:58:55,720 --> 00:59:00,600 Speaker 1: for Obama, fundraised for Hillary, donated to the Link Project 965 00:59:00,760 --> 00:59:02,760 Speaker 1: to try to take down Trump. A big, big time 966 00:59:02,800 --> 00:59:06,400 Speaker 1: Democrat guy. Right, venture capitalists got a ton of money. 967 00:59:07,200 --> 00:59:09,360 Speaker 1: I'm just gonna read his story here. He wrote this 968 00:59:09,440 --> 00:59:12,720 Speaker 1: just the other day. He said, fifteen years ago, I 969 00:59:12,880 --> 00:59:16,440 Speaker 1: co led a team trying to give a hundred percent 970 00:59:16,760 --> 00:59:21,800 Speaker 1: free internet access to all of San Francisco, starting with 971 00:59:21,840 --> 00:59:26,919 Speaker 1: the poorest neighborhoods. First. Fifteen years ago. Internet was still 972 00:59:27,080 --> 00:59:29,120 Speaker 1: on the newer side or whatever, right, fifteen years ago, 973 00:59:29,320 --> 00:59:31,240 Speaker 1: So this was an amazing gift. This would have been 974 00:59:31,280 --> 00:59:34,520 Speaker 1: fifteen years ago. Everyone gets free Internet. We're gonna start 975 00:59:34,520 --> 00:59:37,000 Speaker 1: with the poorest neighborhoods, scurs. Isn't that wonderful? Now? If 976 00:59:37,000 --> 00:59:39,080 Speaker 1: you were in charge of this is in San Francisco, 977 00:59:39,080 --> 00:59:41,200 Speaker 1: If you're in charge of San Francisco, which you would 978 00:59:41,240 --> 00:59:43,240 Speaker 1: never favorite because why would you ever go there, but 979 00:59:43,680 --> 00:59:45,840 Speaker 1: you're in charge of whatever city, you're in, whatever town, 980 00:59:45,920 --> 00:59:47,400 Speaker 1: And someone came in and said a one hundred percent 981 00:59:47,400 --> 00:59:51,000 Speaker 1: free internet accent like that's great, wonderful. Maybe you got 982 00:59:51,080 --> 00:59:52,280 Speaker 1: some questions and be like, well, what are you what 983 00:59:52,320 --> 00:59:54,600 Speaker 1: are you selling here? And they said the network is 984 00:59:54,600 --> 00:59:59,280 Speaker 1: gonna be anonymous, no ads, no cookies, We're not tracking nothing. 985 00:59:59,360 --> 01:00:03,720 Speaker 1: This is from the bottom of our heart, twenty five 986 01:00:03,960 --> 01:00:08,960 Speaker 1: million dollars gift, he says. The result we were chased 987 01:00:09,000 --> 01:00:12,320 Speaker 1: out of town. One San Francisco supervisor, that's what they 988 01:00:12,360 --> 01:00:15,080 Speaker 1: call their city council members. One San Francisco supervisor told 989 01:00:15,160 --> 01:00:18,240 Speaker 1: us she would vote against it unless we promised to 990 01:00:18,320 --> 01:00:22,120 Speaker 1: fund quarterly field trips like to the zoo for the 991 01:00:22,200 --> 01:00:25,760 Speaker 1: kids in her district, so she wanted more money. Another 992 01:00:25,800 --> 01:00:28,720 Speaker 1: promised to vote against it because we wouldn't give free 993 01:00:28,800 --> 01:00:34,360 Speaker 1: laptops to all of San Francisco. One supervisor rejected it 994 01:00:34,400 --> 01:00:40,000 Speaker 1: because poor people needed training to use the net. Countless 995 01:00:40,040 --> 01:00:42,480 Speaker 1: low and no income residents spoke at hearings about how 996 01:00:42,480 --> 01:00:45,200 Speaker 1: they had computers and knew how to use the web, 997 01:00:45,200 --> 01:00:48,960 Speaker 1: but couldn't afford Comcast. The supervisor's man explained back to 998 01:00:49,000 --> 01:00:53,840 Speaker 1: those back to those very people that they were wrong. Ultimately, 999 01:00:53,880 --> 01:00:56,360 Speaker 1: one supervisor told us straight up he didn't care what 1000 01:00:56,440 --> 01:00:58,440 Speaker 1: this meant for the people of his district. He was 1001 01:00:58,480 --> 01:01:02,000 Speaker 1: blocking it because it give the mayor a win in 1002 01:01:02,040 --> 01:01:07,479 Speaker 1: a political year. He was the deciding vote. And I'll 1003 01:01:07,520 --> 01:01:10,560 Speaker 1: never forget what he said. Stop lecturing me about the 1004 01:01:10,600 --> 01:01:14,280 Speaker 1: digital divide, because I don't give a blank. Now, get 1005 01:01:14,320 --> 01:01:20,520 Speaker 1: the blank out of my office. Our team walked out, stunned, 1006 01:01:21,840 --> 01:01:24,320 Speaker 1: sat in the lobby of City Hall and realized it 1007 01:01:24,360 --> 01:01:27,720 Speaker 1: was over my partner's I had done Q and A 1008 01:01:27,800 --> 01:01:31,160 Speaker 1: sessions in every supervisor's district and in community and senior 1009 01:01:31,160 --> 01:01:33,680 Speaker 1: centers all over town. Support for the network was off 1010 01:01:33,680 --> 01:01:37,960 Speaker 1: the charts, particularly among those who needed it most. But 1011 01:01:38,040 --> 01:01:40,240 Speaker 1: it was clear that the supervisors did not care about 1012 01:01:40,240 --> 01:01:43,680 Speaker 1: poor San Franciscans. By the way, none of the supervisors 1013 01:01:43,680 --> 01:01:47,280 Speaker 1: are Republican. If I needed to say that, they wouldn't 1014 01:01:47,280 --> 01:01:53,360 Speaker 1: listen to their own constituents. They perpetuated racist tropes and 1015 01:01:53,520 --> 01:01:57,800 Speaker 1: demeaning stereotypes about the poorest residence and for what It 1016 01:01:58,000 --> 01:02:00,680 Speaker 1: was all a big game to the politicians. The winners 1017 01:02:00,680 --> 01:02:03,800 Speaker 1: were the supervisors egos, and the losers were the people 1018 01:02:03,840 --> 01:02:08,080 Speaker 1: They supposedly served. Again, that is a big time Democrat, 1019 01:02:08,120 --> 01:02:13,160 Speaker 1: guy Chrissaka, who told that story in the biggest Democrats city. 1020 01:02:13,320 --> 01:02:16,600 Speaker 1: We're only Democrats, have any are elected to anything. Ever, 1021 01:02:19,200 --> 01:02:22,400 Speaker 1: So the question is do these Democrats supervisors did these 1022 01:02:22,400 --> 01:02:25,480 Speaker 1: Democratic supervisors city council members in San Francisco? Do they 1023 01:02:25,520 --> 01:02:29,040 Speaker 1: care about the people in their district? If you hear 1024 01:02:29,120 --> 01:02:31,120 Speaker 1: that story, which you just did, do you hear that story, 1025 01:02:31,400 --> 01:02:34,480 Speaker 1: do you what's your conclusion? Do you think the people there? 1026 01:02:34,760 --> 01:02:38,400 Speaker 1: The guy literally said, stop lecturing me about the digital divide, 1027 01:02:38,400 --> 01:02:39,960 Speaker 1: because I don't give a blank at the blank out 1028 01:02:39,960 --> 01:02:44,160 Speaker 1: of my office. Does that person care about the people 1029 01:02:44,160 --> 01:02:49,360 Speaker 1: in his district? Worth noting Gavin Newsom was the mayor 1030 01:02:49,760 --> 01:02:51,400 Speaker 1: at the time. Now you're saying, oh, well, maybe that 1031 01:02:51,440 --> 01:02:53,560 Speaker 1: was a Republican supervisor who didn't want the mayor to 1032 01:02:53,560 --> 01:02:57,040 Speaker 1: get a victory. No, no no, no, No Republicans run for 1033 01:02:57,160 --> 01:03:01,720 Speaker 1: mayor in Gavin news election. Second place was the Green 1034 01:03:01,840 --> 01:03:05,040 Speaker 1: Party candidate. No Republican even ran. No Republicans ran ever 1035 01:03:05,680 --> 01:03:08,160 Speaker 1: for mayor of San Francisco. So this was like a 1036 01:03:08,720 --> 01:03:11,720 Speaker 1: like someone on the so far left that they didn't 1037 01:03:11,720 --> 01:03:13,840 Speaker 1: want Gavin Newsom. They like, they think Gavin Newsom is 1038 01:03:13,840 --> 01:03:18,520 Speaker 1: a conservative. I got another one for you. But again, 1039 01:03:18,560 --> 01:03:20,320 Speaker 1: my point of this segment is do these people care 1040 01:03:20,480 --> 01:03:23,160 Speaker 1: about these politicians? Do they really care about the people 1041 01:03:23,160 --> 01:03:26,479 Speaker 1: in their districts? Got another one for you, husband and wife. 1042 01:03:27,400 --> 01:03:30,160 Speaker 1: They want to start a twenty five million dollar program 1043 01:03:30,480 --> 01:03:34,080 Speaker 1: for free all right. It's provided people for free summer school, 1044 01:03:34,120 --> 01:03:37,040 Speaker 1: summer school, and daycare for free over the summer for 1045 01:03:37,120 --> 01:03:39,520 Speaker 1: young kids in San Francisco. It's run by this group 1046 01:03:39,520 --> 01:03:46,959 Speaker 1: called Together SF and the county said no. They said no. 1047 01:03:47,400 --> 01:03:54,720 Speaker 1: Why One of the supervisors, Hillary Ronson Ronin Ronan thinks 1048 01:03:54,720 --> 01:03:57,920 Speaker 1: that this is a political group and that this group 1049 01:03:57,920 --> 01:04:03,640 Speaker 1: has ulterior motives to push for school privatization and charter schools, 1050 01:04:04,480 --> 01:04:09,560 Speaker 1: and we can't have that. She says, quote it looks 1051 01:04:09,640 --> 01:04:14,720 Speaker 1: and smells like they're seeking to promote a political agenda. 1052 01:04:15,000 --> 01:04:17,560 Speaker 1: This is from box. She's concerned, for instance, that the 1053 01:04:17,600 --> 01:04:20,880 Speaker 1: group could seek to use the volunteers at recruits for 1054 01:04:21,000 --> 01:04:24,400 Speaker 1: future political campaigns in order to support anti union candidates. 1055 01:04:24,400 --> 01:04:29,680 Speaker 1: Now she has no evidence of this, no evidence, no 1056 01:04:29,760 --> 01:04:32,440 Speaker 1: proof at all, no reason to think this is the case. 1057 01:04:32,440 --> 01:04:33,840 Speaker 1: It's not only the two people who are running this 1058 01:04:33,880 --> 01:04:36,800 Speaker 1: are crazy, right, wingers like the people, the people with 1059 01:04:36,840 --> 01:04:38,600 Speaker 1: the twenty five million dollars who put this money up, 1060 01:04:38,640 --> 01:04:42,040 Speaker 1: donated this money. No reason to think that there's anything 1061 01:04:42,080 --> 01:04:45,800 Speaker 1: going on here, but she this one supervisor convinced the 1062 01:04:45,800 --> 01:04:49,200 Speaker 1: council to vote tend to Want against the gift. Would 1063 01:04:49,240 --> 01:04:52,760 Speaker 1: you conclude that these Democrats have children's best interest at heart? 1064 01:04:59,240 --> 01:05:02,640 Speaker 1: Do the teachers unions who are preventing so many kids 1065 01:05:02,680 --> 01:05:04,560 Speaker 1: from going back to school? Do they have children's best 1066 01:05:04,600 --> 01:05:10,680 Speaker 1: interests at heart? Do people supporting open borders that result 1067 01:05:12,000 --> 01:05:15,320 Speaker 1: and so many kids getting sucked into sex slavery, so 1068 01:05:15,360 --> 01:05:17,400 Speaker 1: many kids dying across the border. We shared the story 1069 01:05:17,400 --> 01:05:19,919 Speaker 1: earlier today and of the nine year old girl dying 1070 01:05:20,520 --> 01:05:22,440 Speaker 1: as she was trying to make it across the real grant. 1071 01:05:22,520 --> 01:05:25,240 Speaker 1: Do those the people who the Democrats are for open borders, 1072 01:05:25,280 --> 01:05:28,920 Speaker 1: do they have children's best interests at heart? Some do, 1073 01:05:30,160 --> 01:05:35,360 Speaker 1: some do, many don't, And we need to respond differently 1074 01:05:36,440 --> 01:05:40,480 Speaker 1: to those who don't than the ones who genuinely do 1075 01:05:40,560 --> 01:05:44,320 Speaker 1: and may just be wrong or right and right right. 1076 01:05:45,320 --> 01:05:47,200 Speaker 1: There's people we need to align with and work with, 1077 01:05:47,520 --> 01:05:51,840 Speaker 1: and there's people who are who are bad. Does that 1078 01:05:51,880 --> 01:05:55,920 Speaker 1: make sense? We need to be able to discriminate between 1079 01:05:55,960 --> 01:05:58,920 Speaker 1: those who genuinely do have people's best interest at heart 1080 01:05:59,040 --> 01:06:03,160 Speaker 1: and we may disagree with or whatever right and those 1081 01:06:03,200 --> 01:06:13,320 Speaker 1: people who are selfish, greedy, power hungry and bad, bad people. 1082 01:06:14,480 --> 01:06:17,520 Speaker 1: And if we don't discriminate between those two groups, we're 1083 01:06:17,560 --> 01:06:20,480 Speaker 1: never going to make any real progress because the selfish 1084 01:06:20,520 --> 01:06:23,360 Speaker 1: bad people are always going to hide behind Oh, I'm 1085 01:06:23,440 --> 01:06:27,320 Speaker 1: here for the children, and we need to have the 1086 01:06:27,360 --> 01:06:33,080 Speaker 1: courage to say, no, you're not. Oh you don't think 1087 01:06:33,120 --> 01:06:35,000 Speaker 1: democrats are for the children. No, I'm not saying that. 1088 01:06:35,640 --> 01:06:39,560 Speaker 1: I'm saying you're not. Now, get out of the way 1089 01:06:40,040 --> 01:06:44,400 Speaker 1: so we can work with the people who do. We 1090 01:06:44,440 --> 01:06:48,520 Speaker 1: need to have the nuance and the ability to differentiate 1091 01:06:48,920 --> 01:06:52,360 Speaker 1: and discriminate. Truly, the words discriminate, discriminate between people who 1092 01:06:52,400 --> 01:06:56,160 Speaker 1: genuinely have best interests at heart and those who are 1093 01:06:57,120 --> 01:07:02,960 Speaker 1: just want money and power, and give no time to 1094 01:07:02,960 --> 01:07:07,800 Speaker 1: those people and work with those who do. I'll give 1095 01:07:07,840 --> 01:07:10,920 Speaker 1: me some more examples of the former, the just the 1096 01:07:11,000 --> 01:07:12,760 Speaker 1: bad people. It's like, we like, you can't say that, 1097 01:07:12,760 --> 01:07:15,160 Speaker 1: you can't all you they're not at all bad. I'm 1098 01:07:15,160 --> 01:07:17,040 Speaker 1: not saying they're all bad, and I'm not saying the 1099 01:07:17,160 --> 01:07:19,680 Speaker 1: entirety of a person's existence is bad, but they do 1100 01:07:19,760 --> 01:07:21,840 Speaker 1: not have people's best interests at heart. They have their 1101 01:07:21,880 --> 01:07:27,200 Speaker 1: best interests at heart, and we need to discriminate against them. 1102 01:07:28,000 --> 01:07:30,439 Speaker 1: I'll give you some example of the them coming up next. 1103 01:07:30,520 --> 01:07:32,439 Speaker 1: Mikes Later filing in for box Sexton spread the words 1104 01:07:32,440 --> 01:07:34,320 Speaker 1: going on Team Buck. Mikes later in San Diego, filing 1105 01:07:34,320 --> 01:07:36,320 Speaker 1: in for box Sexton. I'll put that article on Mike 1106 01:07:36,400 --> 01:07:41,760 Speaker 1: slighter out locals dot com. So so take a note 1107 01:07:41,800 --> 01:07:44,320 Speaker 1: Tier to do that Mike slighter out locals dot com 1108 01:07:44,320 --> 01:07:47,200 Speaker 1: and you can check out that ridiculous story we just shared. Again. 1109 01:07:47,240 --> 01:07:48,440 Speaker 1: My point of this segment is we need to have 1110 01:07:48,480 --> 01:07:52,600 Speaker 1: discernment between people who do have best people's best interests 1111 01:07:52,600 --> 01:07:54,520 Speaker 1: at heart, and it's like, oh great, we may disagree 1112 01:07:54,520 --> 01:07:56,080 Speaker 1: on how to get there, but yeah, let's let's chat. 1113 01:07:56,120 --> 01:07:58,680 Speaker 1: And those who genuinely don't. And if you don't, I 1114 01:07:58,680 --> 01:08:00,120 Speaker 1: have no time for you, have no patience for you, 1115 01:08:00,160 --> 01:08:01,880 Speaker 1: and you should be completely kicked out of the public 1116 01:08:01,920 --> 01:08:05,600 Speaker 1: sphere entirely of no time. We've wa way too much 1117 01:08:05,640 --> 01:08:09,560 Speaker 1: to do and get done, and there's so many people still, 1118 01:08:09,640 --> 01:08:11,480 Speaker 1: but we need to have the discernment to figure out 1119 01:08:11,520 --> 01:08:15,520 Speaker 1: who these people are who put activism over truth. We 1120 01:08:15,680 --> 01:08:19,080 Speaker 1: share a couple of examples from today. There's a new 1121 01:08:19,120 --> 01:08:23,280 Speaker 1: book called Panics and Persecutions, twenty Tales of excommunication in 1122 01:08:23,320 --> 01:08:27,200 Speaker 1: the Digital Age. These are stories that prove that the 1123 01:08:27,280 --> 01:08:36,760 Speaker 1: slightest deviation from leftist orthodoxy will get you destroyed, the 1124 01:08:36,920 --> 01:08:42,280 Speaker 1: slight You need absolute purity. Now, the people who demand 1125 01:08:42,320 --> 01:08:45,400 Speaker 1: absolute purity, they do not have people's best interests at heart. 1126 01:08:45,400 --> 01:08:51,920 Speaker 1: They're not honest actors. For instance, there's an anthropologist who 1127 01:08:52,000 --> 01:08:56,519 Speaker 1: spent years studying a tribe in the Amazon, and he 1128 01:08:56,560 --> 01:09:03,920 Speaker 1: wrote a book called Yano Mamo, The Fierce People. He's 1129 01:09:04,000 --> 01:09:12,759 Speaker 1: a genuine person, gente a genuine scholar, intellectual learning, studying, writing, 1130 01:09:13,000 --> 01:09:16,760 Speaker 1: getting closer to the truth, curious, all these good things, right. 1131 01:09:17,960 --> 01:09:21,720 Speaker 1: He was shunned and excommunicated from the profession, from the 1132 01:09:21,880 --> 01:09:30,160 Speaker 1: entire an anthropologist community because he dare, he dare describe 1133 01:09:30,200 --> 01:09:39,439 Speaker 1: the Indigenous people as fierce. That was the name of 1134 01:09:39,479 --> 01:09:41,639 Speaker 1: the book, The Fierce People, This one tribe, he called him, 1135 01:09:41,640 --> 01:09:44,760 Speaker 1: the Fierce People. WHOA, WHOA can't do that. You can't 1136 01:09:44,760 --> 01:09:51,519 Speaker 1: describe Indigenous people as anything but always peaceful, always peaceful, 1137 01:09:51,560 --> 01:09:56,880 Speaker 1: always harmonious, always loving and caring and kind and one 1138 01:09:56,920 --> 01:10:01,960 Speaker 1: with nature and man. Can't ever say anything bad about 1139 01:10:02,040 --> 01:10:06,799 Speaker 1: the indigenous peoples. Never talk about the Aztecs killing twenty 1140 01:10:06,840 --> 01:10:10,880 Speaker 1: thousand human sacrifice, twenty thousand human sacrifices a year. One 1141 01:10:10,960 --> 01:10:13,280 Speaker 1: day they dedicated one temple, and they killed eighty thousand 1142 01:10:13,280 --> 01:10:15,640 Speaker 1: people in a day. You can never talk about the 1143 01:10:15,720 --> 01:10:19,920 Speaker 1: wall of human skulls that the Aztecs made, temples made 1144 01:10:19,920 --> 01:10:23,519 Speaker 1: out of human skulls. You cannot describe these shock and 1145 01:10:23,720 --> 01:10:27,280 Speaker 1: awe that the Spanish conquistadors were met with when they 1146 01:10:27,320 --> 01:10:31,120 Speaker 1: came across the Aztecs. And you can't talk about how 1147 01:10:31,160 --> 01:10:34,479 Speaker 1: it's no wonder that in the final battle, the final 1148 01:10:34,560 --> 01:10:38,240 Speaker 1: conquest of the Aztecs, there were about five hundred Spaniards, 1149 01:10:38,240 --> 01:10:43,880 Speaker 1: but twenty thousand members of neighboring tribes who hated the 1150 01:10:43,960 --> 01:10:47,479 Speaker 1: Aztecs way more than the Spaniards ever could, because it 1151 01:10:47,560 --> 01:10:50,360 Speaker 1: was their sons and daughters whose skulls made up these 1152 01:10:50,400 --> 01:10:53,200 Speaker 1: giant temples and who were terrorized for years in centuries. 1153 01:10:54,280 --> 01:10:56,800 Speaker 1: You can't talk about that. Because the all the indigenous 1154 01:10:56,800 --> 01:11:01,680 Speaker 1: peoples were peaceful and wonderful and kind and loved animals 1155 01:11:01,760 --> 01:11:08,120 Speaker 1: and nature. You can never call them even fierce. The 1156 01:11:08,200 --> 01:11:12,760 Speaker 1: Apaches and the Comanche tribes. They were brutal. They were 1157 01:11:12,920 --> 01:11:17,720 Speaker 1: absolutely brutal. Can't write about it, can't talk about it, 1158 01:11:17,720 --> 01:11:20,439 Speaker 1: even in a scholarly way. All the natives are great. 1159 01:11:21,479 --> 01:11:25,120 Speaker 1: It's the white man who's uniquely evil. And I'm not 1160 01:11:25,200 --> 01:11:27,240 Speaker 1: kid about that. If you ask most young people today, 1161 01:11:27,240 --> 01:11:29,880 Speaker 1: ask any high school today about slavery, and they will 1162 01:11:29,920 --> 01:11:33,960 Speaker 1: tell you that slavery was a uniquely white person sin 1163 01:11:34,080 --> 01:11:37,160 Speaker 1: and even worse, a uniquely American experience. That is what 1164 01:11:37,200 --> 01:11:40,600 Speaker 1: they are fed. We don't have time to debunk that, 1165 01:11:40,640 --> 01:11:44,439 Speaker 1: but you know the truth. So he called the indigenous 1166 01:11:44,439 --> 01:11:49,280 Speaker 1: tribe fierce, so he's gotta go. Another computer science professor 1167 01:11:49,320 --> 01:11:52,160 Speaker 1: wrote a paper called Why Women Don't Code? And it 1168 01:11:52,240 --> 01:11:56,320 Speaker 1: wasn't about why women aren't capable of writing computer code. 1169 01:11:56,520 --> 01:11:59,400 Speaker 1: It doesn't say women can't code or shouldn't be allowed 1170 01:11:59,400 --> 01:12:02,040 Speaker 1: to code. That is not the point. It's sought, in 1171 01:12:02,080 --> 01:12:05,080 Speaker 1: a scholarly way to try to explain why many women 1172 01:12:05,200 --> 01:12:11,799 Speaker 1: choose not to code. Why many women have different interests 1173 01:12:12,000 --> 01:12:16,920 Speaker 1: and talents and coding is not one of them. Remember 1174 01:12:17,040 --> 01:12:18,920 Speaker 1: years ago, we kept hearing that more we need more 1175 01:12:18,920 --> 01:12:20,840 Speaker 1: women in STEM, more women in STEM, and no one 1176 01:12:20,880 --> 01:12:23,960 Speaker 1: bothered to ask why. No one, no one, no one 1177 01:12:23,960 --> 01:12:27,439 Speaker 1: ever said why do we need more women in STEM? 1178 01:12:27,520 --> 01:12:29,439 Speaker 1: But really no one even bothered to ask, well, why 1179 01:12:29,439 --> 01:12:33,479 Speaker 1: are there more men than women in STEM? They just 1180 01:12:33,520 --> 01:12:37,160 Speaker 1: assumed that it was sexism. So this professor was run 1181 01:12:37,160 --> 01:12:40,240 Speaker 1: out of town. The graduate union they called him, they 1182 01:12:40,240 --> 01:12:43,160 Speaker 1: called it gender harassment. All he did was question. He's like, oh, 1183 01:12:43,200 --> 01:12:45,160 Speaker 1: I wonder what why men and women are different? There's 1184 01:12:45,160 --> 01:12:46,479 Speaker 1: your problem. Men and women aren't. There's no such thing 1185 01:12:46,520 --> 01:12:48,200 Speaker 1: as gender, So men and women aren't different. There's no 1186 01:12:48,240 --> 01:12:50,800 Speaker 1: such thing as men a woman, which goes back to 1187 01:12:50,840 --> 01:12:52,760 Speaker 1: the pyramid that we talked about on Friday Show. But 1188 01:12:55,560 --> 01:12:58,880 Speaker 1: he just wanted to explain why there's a difference. But 1189 01:12:58,960 --> 01:13:02,200 Speaker 1: he couldn't. He was called a transphobe who supports race science. 1190 01:13:02,840 --> 01:13:04,519 Speaker 1: So the people who do that, with my point, the 1191 01:13:04,560 --> 01:13:07,960 Speaker 1: people who do this stuff, they're not honest actors. They 1192 01:13:08,000 --> 01:13:12,439 Speaker 1: need to be entirely dismissed. So we got a professor 1193 01:13:12,439 --> 01:13:15,639 Speaker 1: who called natives fierce. We have another professor who sought 1194 01:13:15,680 --> 01:13:18,720 Speaker 1: to explain why women generally choose not to go into 1195 01:13:18,720 --> 01:13:21,639 Speaker 1: STEM fields are less often than men do, even when 1196 01:13:22,040 --> 01:13:24,360 Speaker 1: every effort is made to encourage women to join stem, 1197 01:13:25,520 --> 01:13:28,479 Speaker 1: and I'll give you one last Oxford, Oxford University, right 1198 01:13:28,520 --> 01:13:32,280 Speaker 1: about best school in the world. Maybe right, the music 1199 01:13:32,320 --> 01:13:38,160 Speaker 1: school was criticized for being too colonial, complicit in white supremacy. 1200 01:13:38,280 --> 01:13:43,000 Speaker 1: So Oxford University is considering now no longer using sheet music. Right, So, 1201 01:13:43,040 --> 01:13:46,639 Speaker 1: they said that the music that's played is too focused 1202 01:13:46,680 --> 01:13:50,400 Speaker 1: on white European music from the slave period, like Beethoven 1203 01:13:50,439 --> 01:13:55,080 Speaker 1: a Mozart, and this causes students of color great distress. 1204 01:13:57,520 --> 01:13:59,360 Speaker 1: So we're gonna let the adults start running the show. 1205 01:13:59,400 --> 01:14:02,439 Speaker 1: Here are we gonna continue to let the psychopaths run 1206 01:14:02,479 --> 01:14:05,439 Speaker 1: everything around it? Let's knock it off already. Let's have 1207 01:14:05,479 --> 01:14:10,320 Speaker 1: the discernment to tell who the dishonest actors are, dismiss them, 1208 01:14:10,360 --> 01:14:13,080 Speaker 1: and who are the honest actors? Beautiful, Let's work together 1209 01:14:13,760 --> 01:14:17,599 Speaker 1: for truth. Coming up next, speaking of truth, I want 1210 01:14:17,600 --> 01:14:19,640 Speaker 1: to talk about mask mandates, and I want to talk 1211 01:14:19,640 --> 01:14:22,280 Speaker 1: about the where this virus came from. Talking about things 1212 01:14:22,280 --> 01:14:23,920 Speaker 1: you're not allowed to talk about. We'll talk about the 1213 01:14:24,200 --> 01:14:29,640 Speaker 1: Wuhan lab. This theory is becoming more mainstream. Good do 1214 01:14:29,680 --> 01:14:32,519 Speaker 1: it next. Mike Slater filling in for Buck Sexton. Mike 1215 01:14:32,600 --> 01:14:34,880 Speaker 1: Slater out locals dot Com spread the word, Team Back, 1216 01:14:34,960 --> 01:14:37,000 Speaker 1: America is the greatest country in the world. Thanks so 1217 01:14:37,080 --> 01:14:40,080 Speaker 1: much for being here. Mike Slater filling in for Buck Sexton, 1218 01:14:40,280 --> 01:14:43,400 Speaker 1: who do not worry. We'll be back on Wednesday. Thank 1219 01:14:43,439 --> 01:14:45,720 Speaker 1: you to Back for letting me fill in again. And 1220 01:14:45,760 --> 01:14:49,679 Speaker 1: I acknowledge your profound disappointment and that this very much 1221 01:14:50,080 --> 01:14:52,320 Speaker 1: At this very moment, I don't know if I've ever 1222 01:14:52,479 --> 01:14:55,920 Speaker 1: listened to a fill in host. Let's be honest. I'm 1223 01:14:55,920 --> 01:15:02,080 Speaker 1: telling him, like, Buck's not here, lamet, just turn it off. 1224 01:15:03,960 --> 01:15:06,120 Speaker 1: But hopefully you don't turn off right now. I want 1225 01:15:06,120 --> 01:15:09,280 Speaker 1: to talk about COVID and masks. Can we knock it 1226 01:15:09,320 --> 01:15:13,400 Speaker 1: off with the masks already? So I'm in California, so 1227 01:15:13,439 --> 01:15:16,360 Speaker 1: I'm a bit biased here because we're still acting like 1228 01:15:16,439 --> 01:15:22,439 Speaker 1: its last March in California. But just I don't know 1229 01:15:22,439 --> 01:15:24,360 Speaker 1: where you're, where you are, where in your state. You 1230 01:15:24,360 --> 01:15:27,800 Speaker 1: could live in, like a state that's in America and 1231 01:15:27,920 --> 01:15:29,880 Speaker 1: it is open and everything's back up and run it. 1232 01:15:29,920 --> 01:15:32,479 Speaker 1: But I don't. Okay, so excuse me while I'm a 1233 01:15:32,479 --> 01:15:36,200 Speaker 1: little bit better here for a minute. People are still 1234 01:15:36,200 --> 01:15:38,639 Speaker 1: walking around with masks on outside people in the park. 1235 01:15:39,000 --> 01:15:41,360 Speaker 1: The other day, I saw a dad with two middle 1236 01:15:41,400 --> 01:15:46,800 Speaker 1: school kids, middle school age kids playing basketball together alone 1237 01:15:47,040 --> 01:15:52,320 Speaker 1: with masks. What in the world now, I'm not going 1238 01:15:52,360 --> 01:15:55,360 Speaker 1: to share my Rosa Park story where I showed up 1239 01:15:55,360 --> 01:15:59,120 Speaker 1: to the park and there was this family there who passively, 1240 01:15:59,160 --> 01:16:02,439 Speaker 1: aggressively sent okay, kids, it's time to go. Some people 1241 01:16:02,439 --> 01:16:08,439 Speaker 1: aren't wearing their masks. I'm not going to tell that story. No. 1242 01:16:08,520 --> 01:16:11,639 Speaker 1: Need point is we've reached herd immunity. We're good. It's 1243 01:16:11,720 --> 01:16:15,040 Speaker 1: over now. It's a big country, right, so herd immunity 1244 01:16:15,360 --> 01:16:17,280 Speaker 1: in different areas, perhaps not all the end, and we're 1245 01:16:17,280 --> 01:16:19,000 Speaker 1: not entirely there, given another a couple of days. But 1246 01:16:19,040 --> 01:16:21,280 Speaker 1: the point is we're there. We're all for all tents 1247 01:16:21,280 --> 01:16:24,559 Speaker 1: of purposes, we're there. There's no more fourth wave. If 1248 01:16:24,560 --> 01:16:26,760 Speaker 1: you consider the number of people who've had the vaccine 1249 01:16:27,240 --> 01:16:30,280 Speaker 1: and the number of people who have gotten COVID and 1250 01:16:30,320 --> 01:16:34,920 Speaker 1: therefore created their own antibodies, we are well above fifty percent. 1251 01:16:35,240 --> 01:16:38,479 Speaker 1: Herd immunity is somewhere around fifty. Maybe it's high seventy percent, 1252 01:16:38,479 --> 01:16:41,880 Speaker 1: but by fifty five percent or so, and that's it. 1253 01:16:41,920 --> 01:16:44,559 Speaker 1: We're there. We got it. Congratulations. And this is my point. 1254 01:16:44,680 --> 01:16:46,840 Speaker 1: This shouldn't be a political thing. This shouldn't be like, 1255 01:16:47,200 --> 01:16:50,040 Speaker 1: no one's spiking the football, no one's I told you so. 1256 01:16:50,240 --> 01:16:52,080 Speaker 1: But also no one needs to dig in their heels, 1257 01:16:52,320 --> 01:16:54,400 Speaker 1: no one, Like, let's just put the last year of 1258 01:16:54,560 --> 01:16:57,680 Speaker 1: discord behind us, of making this whole thing political, like, 1259 01:16:57,720 --> 01:17:03,439 Speaker 1: oh well, Trump was again masks, therefore I'm for them forever, like, no, 1260 01:17:03,680 --> 01:17:06,920 Speaker 1: knock it off with that. Let's assess the current situation 1261 01:17:07,280 --> 01:17:10,400 Speaker 1: and let's all be super happy that we don't have 1262 01:17:10,400 --> 01:17:14,599 Speaker 1: to do this anymore. Let's celebrate, hug, have a party, 1263 01:17:17,360 --> 01:17:23,600 Speaker 1: and stop, if nothing else, stop having kids wear masks. 1264 01:17:25,120 --> 01:17:30,559 Speaker 1: The psychological harm of forcing kids to wear masks far 1265 01:17:30,720 --> 01:17:35,400 Speaker 1: always any risk of COVID being spread. They barely spread 1266 01:17:35,439 --> 01:17:39,240 Speaker 1: it at all. But the harm, the psychological harm teaching 1267 01:17:39,320 --> 01:17:44,360 Speaker 1: kids that every other human is a disease vector waiting 1268 01:17:44,360 --> 01:17:48,040 Speaker 1: to infect you with a deadly disease and pathogen that 1269 01:17:48,240 --> 01:17:53,600 Speaker 1: is psychologically damaging to your kids, and it's wildly unnecessary. 1270 01:17:56,200 --> 01:17:57,840 Speaker 1: We are going to be seeing the consequences of this 1271 01:17:57,880 --> 01:17:59,760 Speaker 1: with our kids for a long time. This idea of 1272 01:17:59,760 --> 01:18:01,960 Speaker 1: going back to normal, which like, again, can we hurry 1273 01:18:02,000 --> 01:18:08,000 Speaker 1: up please? If you're forty, then going back to normal 1274 01:18:09,080 --> 01:18:11,360 Speaker 1: it's pretty easy because you've had thirty nine other years 1275 01:18:11,360 --> 01:18:14,080 Speaker 1: of normal. You know what normal is like, but when 1276 01:18:14,120 --> 01:18:19,520 Speaker 1: you're seven, one year of your life is an eternity. 1277 01:18:21,160 --> 01:18:23,640 Speaker 1: You may not even remember what normal was. This is 1278 01:18:23,680 --> 01:18:30,040 Speaker 1: now your new normal. Raising kids to be fearful of 1279 01:18:30,040 --> 01:18:32,519 Speaker 1: other people at the park, I was maybe four feet 1280 01:18:32,560 --> 01:18:35,000 Speaker 1: away from this like two year old girl, and the 1281 01:18:35,040 --> 01:18:38,599 Speaker 1: mom ran over and grabbed her and ran away from her. 1282 01:18:38,640 --> 01:18:42,439 Speaker 1: This was two weeks ago. Teaching this little girl to 1283 01:18:42,479 --> 01:18:45,559 Speaker 1: be fearful of other people. Always keep a distance, don't 1284 01:18:45,600 --> 01:18:51,600 Speaker 1: touch anything, be scared of breathing in air. It's not healthy. 1285 01:18:54,080 --> 01:18:56,400 Speaker 1: My oldest son is four, got a four year old son, 1286 01:18:56,439 --> 01:18:59,400 Speaker 1: three year old daughter, one year old son, Jack Grace 1287 01:18:59,479 --> 01:19:03,400 Speaker 1: John So Jack is four and his friends five in 1288 01:19:03,479 --> 01:19:06,679 Speaker 1: school and he came over the other day wearing a mask. 1289 01:19:07,880 --> 01:19:11,040 Speaker 1: He's over here like almost every night, hang out all 1290 01:19:11,080 --> 01:19:12,920 Speaker 1: the time. And this one night he came over with 1291 01:19:12,920 --> 01:19:15,280 Speaker 1: a mask on. I said, land and take the mask off. 1292 01:19:15,280 --> 01:19:16,479 Speaker 1: What do you need to do with your mask on? 1293 01:19:16,840 --> 01:19:22,640 Speaker 1: And he says, I don't want to spread COVID. Is 1294 01:19:22,640 --> 01:19:29,360 Speaker 1: it landed you have COVID? So no, But this is 1295 01:19:29,400 --> 01:19:33,760 Speaker 1: just impressed on him all day at school. I can 1296 01:19:33,800 --> 01:19:37,400 Speaker 1: just imagine it yelling at kids to put your mask on, 1297 01:19:38,000 --> 01:19:42,120 Speaker 1: don't spread COVID, don't touch that, stand on your dot, 1298 01:19:42,400 --> 01:19:48,639 Speaker 1: keep a distance. It's like, wow, say, kids, sit behind 1299 01:19:48,720 --> 01:19:53,960 Speaker 1: your plexiglass barrier. You're in your plexiglass box. At school, 1300 01:19:54,160 --> 01:19:59,479 Speaker 1: literally look at life through a dirty plastic screen. Their 1301 01:19:59,520 --> 01:20:04,000 Speaker 1: teachers decked out, covered up, like they're inspecting Chernobyl after 1302 01:20:04,120 --> 01:20:08,760 Speaker 1: lunch break, parents dropping gets off school in California, Like 1303 01:20:08,800 --> 01:20:11,320 Speaker 1: it's that final scene in ET where they're all in 1304 01:20:12,000 --> 01:20:15,439 Speaker 1: that giant has mat suits quarantining the house with a 1305 01:20:15,439 --> 01:20:17,479 Speaker 1: big giant plastic two is remember that scene I'm talking about. 1306 01:20:17,520 --> 01:20:22,760 Speaker 1: Just knock it off already. But again, I don't know 1307 01:20:22,760 --> 01:20:24,920 Speaker 1: what it's like where you are. I got some family 1308 01:20:24,960 --> 01:20:29,160 Speaker 1: in Tennessee and I was talking to him, was like, 1309 01:20:29,560 --> 01:20:34,439 Speaker 1: it's like, did you guys what you went in the restaurant? 1310 01:20:36,479 --> 01:20:43,599 Speaker 1: They said, yeah, no, no, hold on, huh you went 1311 01:20:43,840 --> 01:20:53,439 Speaker 1: inside a building? Yeah? Well for how long? Oh? I 1312 01:20:53,479 --> 01:20:58,160 Speaker 1: don't know, like like an hour? You you went inside 1313 01:20:58,160 --> 01:21:02,880 Speaker 1: a building for an everyone? Okay, Like that's as I've 1314 01:21:02,880 --> 01:21:04,720 Speaker 1: been trained. I've been San Diego this whole time. That's 1315 01:21:04,760 --> 01:21:11,040 Speaker 1: that's what we're trained to think. Like here, Adam Crowley 1316 01:21:11,080 --> 01:21:13,479 Speaker 1: had a great tweet the other day. He's in California too, obviously, 1317 01:21:13,479 --> 01:21:15,720 Speaker 1: he said. He said, listen, we better locked down again 1318 01:21:15,760 --> 01:21:18,760 Speaker 1: in California because Texas. It's been two weeks now since 1319 01:21:18,800 --> 01:21:21,280 Speaker 1: they ended their mask mandate, and it's been a blood 1320 01:21:21,320 --> 01:21:30,400 Speaker 1: bath ever since. Or cases keep going down. One day 1321 01:21:30,760 --> 01:21:35,960 Speaker 1: we are going to learn that masks did nothing. One 1322 01:21:36,040 --> 01:21:38,000 Speaker 1: day we will learn that. It will not be anytime soon, 1323 01:21:38,640 --> 01:21:41,360 Speaker 1: but one day we will look back on this and 1324 01:21:41,479 --> 01:21:47,200 Speaker 1: we will everyone will realize that masks were useless. Chris 1325 01:21:47,200 --> 01:21:50,639 Speaker 1: Hayes on MSNBC he when Texas stopped their mask mandate 1326 01:21:50,640 --> 01:21:52,680 Speaker 1: a couple of weeks ago, I remember Biden called it 1327 01:21:52,760 --> 01:21:57,400 Speaker 1: Neanderthal thinking. Chris Hayes, he said, yeah, deaths are going down, 1328 01:21:57,400 --> 01:21:59,240 Speaker 1: but why would you want them to go back up? 1329 01:22:00,680 --> 01:22:02,920 Speaker 1: As if masks were the only variable at play here. 1330 01:22:02,960 --> 01:22:06,160 Speaker 1: There's no evidence for this whatsoever. Chrissy did a whole 1331 01:22:06,160 --> 01:22:10,559 Speaker 1: segment insanity. Texans react to Governor Abbott lifting mask mandate 1332 01:22:10,640 --> 01:22:13,679 Speaker 1: and reopening state two plus weeks later. No surge, nothing, 1333 01:22:14,280 --> 01:22:17,959 Speaker 1: Everything's falling, continuing to fall. It's over. It's so frustrating 1334 01:22:18,000 --> 01:22:20,080 Speaker 1: here in California for a million reasons, which is why 1335 01:22:20,080 --> 01:22:22,320 Speaker 1: we're recalling the governor, which is awesome. It's gonna be 1336 01:22:22,320 --> 01:22:25,639 Speaker 1: a blast. That reelection is gonna well to be official 1337 01:22:25,760 --> 01:22:31,040 Speaker 1: in a month, and then the recall is gonna be 1338 01:22:31,080 --> 01:22:33,479 Speaker 1: in like August probably, so stay tuned for that. It's 1339 01:22:33,479 --> 01:22:37,840 Speaker 1: gonna be great. So Florida's been open, right, you're listening 1340 01:22:37,840 --> 01:22:40,519 Speaker 1: in Florida. You know, Florida's been open. World has been 1341 01:22:40,520 --> 01:22:45,400 Speaker 1: open for months. Disneyland is still closed. It's gonna open 1342 01:22:45,479 --> 01:22:48,919 Speaker 1: up April thirty first, at fifteen percent capacity. That's insane. 1343 01:22:49,120 --> 01:22:51,760 Speaker 1: We have case studies. We have fifty states that each 1344 01:22:51,800 --> 01:22:53,599 Speaker 1: did it a little bit differently. We know the results 1345 01:22:54,880 --> 01:22:57,360 Speaker 1: even but even not even amongst the fifty states. I 1346 01:22:57,400 --> 01:22:59,320 Speaker 1: live in San Diego. Schools have been closed. The public 1347 01:22:59,320 --> 01:23:02,880 Speaker 1: schools have been closed. Private schools have been open for months, 1348 01:23:03,000 --> 01:23:05,280 Speaker 1: but no outbreak in the private schools. So why do 1349 01:23:05,320 --> 01:23:07,200 Speaker 1: we still have public schools close? It doesn't make any sense. 1350 01:23:09,280 --> 01:23:10,800 Speaker 1: We don't have time to do this now, but I 1351 01:23:10,880 --> 01:23:12,760 Speaker 1: kind of wanted to mention this briefly before we go 1352 01:23:12,800 --> 01:23:16,200 Speaker 1: into the lab theory. The lab leak theory, which is 1353 01:23:16,240 --> 01:23:21,920 Speaker 1: important to talk about last few months, well for years really, 1354 01:23:21,960 --> 01:23:23,720 Speaker 1: but last few months in particular, We've been sharing a 1355 01:23:23,800 --> 01:23:26,080 Speaker 1: lot of stories on my local show about where the 1356 01:23:26,200 --> 01:23:30,000 Speaker 1: consensus and they call it consensus science. Where consensus science 1357 01:23:30,160 --> 01:23:36,000 Speaker 1: is wrong. Consensus science has a dismal track record. Michael 1358 01:23:36,040 --> 01:23:39,639 Speaker 1: Crechton gave an amazing speech. Yes that Michael Crichton. Michael 1359 01:23:39,640 --> 01:23:41,960 Speaker 1: Crichton was a brilliant man. He was the only person 1360 01:23:42,000 --> 01:23:44,519 Speaker 1: to ever have the number one TV show, movie, and 1361 01:23:44,600 --> 01:23:47,160 Speaker 1: book at the same time. And he did it twice. 1362 01:23:49,560 --> 01:23:56,760 Speaker 1: The first time it was er Jurassic Park and I 1363 01:23:56,760 --> 01:23:58,040 Speaker 1: don't know, but I don't know what the book was, 1364 01:23:58,080 --> 01:24:01,519 Speaker 1: but right like like twice, I see it twice number 1365 01:24:01,520 --> 01:24:05,360 Speaker 1: one book, movie, TV show. Anyway, he gave a speech 1366 01:24:05,360 --> 01:24:08,879 Speaker 1: at Caltech. He went to med school at I think Harvard, 1367 01:24:08,920 --> 01:24:12,160 Speaker 1: I forget, maybe Stanford, I forget. But he gave a 1368 01:24:12,200 --> 01:24:14,040 Speaker 1: speech of Caltech, who was two thousand and three. It 1369 01:24:14,080 --> 01:24:17,800 Speaker 1: was called Aliens Cause Global Warming. I'm gonna put it 1370 01:24:17,840 --> 01:24:20,080 Speaker 1: on the website on Mike's lad out locals dot com. 1371 01:24:20,080 --> 01:24:21,679 Speaker 1: Please check it out there. We put everything there Mikes 1372 01:24:21,720 --> 01:24:24,439 Speaker 1: lated out locals dot com. It is a brilliant speech. 1373 01:24:24,439 --> 01:24:28,240 Speaker 1: It's very short and among other things, he talks about 1374 01:24:28,280 --> 01:24:30,920 Speaker 1: consensus science being wrong. I'll just give you one example here, 1375 01:24:31,240 --> 01:24:36,160 Speaker 1: for centuries, the greatest killer of women was a fever 1376 01:24:36,400 --> 01:24:43,280 Speaker 1: that they got after childbirth. It was after childbirth seventeen 1377 01:24:43,400 --> 01:24:48,080 Speaker 1: ninety five, Alexander Gordon. He said, oh, this fever's caused 1378 01:24:48,080 --> 01:24:55,559 Speaker 1: by an infection, and the consensus said no. Fifty years later, 1379 01:24:55,640 --> 01:24:58,280 Speaker 1: eighteen forty three, Oliver Wendell Holmes says, oh, this is 1380 01:24:58,280 --> 01:25:03,680 Speaker 1: a contagious infection that's making women sick and dying, and 1381 01:25:03,720 --> 01:25:08,200 Speaker 1: the consensus said no. Ten years later, doctor schmel Weiss, 1382 01:25:09,520 --> 01:25:16,040 Speaker 1: he noticed that doctors go from the morgue touching dead bodies, 1383 01:25:17,720 --> 01:25:20,320 Speaker 1: and then they walked down the hall and they deliver babies, 1384 01:25:22,240 --> 01:25:25,320 Speaker 1: and then the woman gets his fever and dies and 1385 01:25:25,400 --> 01:25:29,439 Speaker 1: svel Vice was the first person who said, maybe, just maybe, guys, 1386 01:25:29,479 --> 01:25:34,400 Speaker 1: we should wash our hands. And the consensus said, you're 1387 01:25:34,400 --> 01:25:38,639 Speaker 1: a jew, kicked him out of the profession entirely, literally 1388 01:25:38,720 --> 01:25:42,599 Speaker 1: drove him insane. He went in an insane asylum where 1389 01:25:42,600 --> 01:25:45,920 Speaker 1: he died shortly after he said we should wash our hands. 1390 01:25:46,040 --> 01:25:48,479 Speaker 1: Sevel Vice was the first doctor who said we should 1391 01:25:48,560 --> 01:25:53,240 Speaker 1: wash our hands. This was eighteen forty nine, and of 1392 01:25:53,280 --> 01:25:54,760 Speaker 1: course he was right. But the point here is it 1393 01:25:54,800 --> 01:25:57,479 Speaker 1: took one hundred and fifty years for the consensus to 1394 01:25:57,560 --> 01:26:02,080 Speaker 1: catch up with common sense. Thank goodness for the skeptics. 1395 01:26:02,600 --> 01:26:05,639 Speaker 1: Now there's a ton of examples of this, and masks 1396 01:26:05,720 --> 01:26:08,040 Speaker 1: eventually are going to be one of those. This is 1397 01:26:08,080 --> 01:26:11,519 Speaker 1: from a New England Journal Medicine article back in April, 1398 01:26:11,880 --> 01:26:13,719 Speaker 1: and they were debating whether or not we should force 1399 01:26:13,760 --> 01:26:17,960 Speaker 1: people in hospitals to wear masks, and they said, we 1400 01:26:18,120 --> 01:26:21,240 Speaker 1: know that wearing a mask outside healthcare facilities offers little, 1401 01:26:21,240 --> 01:26:24,360 Speaker 1: if any protection from infection. They're like, wow, should we 1402 01:26:24,400 --> 01:26:27,040 Speaker 1: offer should we have people in hospitals wear masks? I 1403 01:26:27,080 --> 01:26:29,320 Speaker 1: don't know. It doesn't really do much, but it kind 1404 01:26:29,320 --> 01:26:31,200 Speaker 1: of says that we're taking it seriously. It reminds people 1405 01:26:31,200 --> 01:26:33,320 Speaker 1: that there's a pandemic. So yeah, okay, sure, I guess 1406 01:26:33,320 --> 01:26:36,960 Speaker 1: we should require it in hospitals. But there's a New 1407 01:26:36,960 --> 01:26:41,400 Speaker 1: England Journal Medicine but outside outside healthcare facilities, no reform mask. 1408 01:26:42,280 --> 01:26:44,240 Speaker 1: So one day it'll come back around to that. I'll 1409 01:26:44,240 --> 01:26:46,519 Speaker 1: give you a noo example of consensus science regarding the 1410 01:26:46,880 --> 01:26:51,280 Speaker 1: COVID Where did it come from? The head of the 1411 01:26:51,320 --> 01:26:55,760 Speaker 1: former head of the CDC thinks it came from the lab. 1412 01:26:56,680 --> 01:26:59,360 Speaker 1: This is super interesting story and you would be you are, 1413 01:26:59,439 --> 01:27:04,880 Speaker 1: you will be shocked of how many viruses escape from 1414 01:27:04,960 --> 01:27:08,280 Speaker 1: laboratories all the time. I'll tell you the truth of 1415 01:27:08,280 --> 01:27:10,679 Speaker 1: that coming up next. Mike's later filling in for buck Sexton, 1416 01:27:10,720 --> 01:27:12,760 Speaker 1: spread the word eighteen buck. Mike's later filling it for 1417 01:27:12,800 --> 01:27:15,599 Speaker 1: Buck Sexton, I want to talk about COVID and where 1418 01:27:15,600 --> 01:27:20,479 Speaker 1: it started, where it came from. You're not allowed to 1419 01:27:20,600 --> 01:27:23,640 Speaker 1: think that it came from a the Wuhan laboratory. Not 1420 01:27:23,680 --> 01:27:26,880 Speaker 1: allowed to think that. The former head of the CDC, however, 1421 01:27:27,360 --> 01:27:29,599 Speaker 1: thinks it did. This is the original New York Times 1422 01:27:29,600 --> 01:27:34,360 Speaker 1: headline says x CDC director favors debunked COVID nineteen origin theory. 1423 01:27:34,720 --> 01:27:36,920 Speaker 1: They changed the headline because it didn't criticize them enough. 1424 01:27:37,040 --> 01:27:41,200 Speaker 1: The CDC's X director offers no evidence in favoring speculation 1425 01:27:41,280 --> 01:27:45,439 Speaker 1: that the coronavirus originated in a lab. All right, here's 1426 01:27:45,439 --> 01:27:51,880 Speaker 1: the deal. It sounds implausible, perhaps that it leaked out 1427 01:27:51,880 --> 01:27:55,480 Speaker 1: of a lab, until you realize how often this happens, 1428 01:27:56,960 --> 01:28:02,439 Speaker 1: and until you realize how many people for decades have 1429 01:28:02,600 --> 01:28:05,960 Speaker 1: been worried about viruses leaking out of laboratories, to the 1430 01:28:05,960 --> 01:28:09,679 Speaker 1: point where the US government from twenty seventeen stopped all. 1431 01:28:09,760 --> 01:28:12,719 Speaker 1: They're called gain of function experiment. So gain of function 1432 01:28:12,760 --> 01:28:15,880 Speaker 1: experiment is where you take a naturally occurring virus and 1433 01:28:16,000 --> 01:28:19,720 Speaker 1: you amplify it, you make it more virulent, and you 1434 01:28:20,040 --> 01:28:23,559 Speaker 1: make it worse, right, And the US government stopped these 1435 01:28:23,600 --> 01:28:27,000 Speaker 1: in twenty fifteen. The reason they do that is they 1436 01:28:27,040 --> 01:28:29,360 Speaker 1: make it more virulent on purpose, and then you the 1437 01:28:29,400 --> 01:28:31,320 Speaker 1: ideas you come up with ways to beat it before 1438 01:28:31,439 --> 01:28:35,080 Speaker 1: these things come about naturally, very risky deal, and the 1439 01:28:35,160 --> 01:28:37,920 Speaker 1: US government said, we stopped to these, and they stopped 1440 01:28:37,960 --> 01:28:40,479 Speaker 1: him for two years while they could tighten it all up. 1441 01:28:41,680 --> 01:28:43,559 Speaker 1: Coming up in the next segment, I'll highlight some more 1442 01:28:43,560 --> 01:28:47,400 Speaker 1: examples of viruses leaking out of labs that can be infectious, 1443 01:28:47,400 --> 01:28:51,200 Speaker 1: animals biting people. My favorite was a lab tech in 1444 01:28:51,280 --> 01:28:54,759 Speaker 1: China who sold the animals that they were doing testing 1445 01:28:54,760 --> 01:28:56,400 Speaker 1: on to a guy in the back alley who then 1446 01:28:56,439 --> 01:28:59,639 Speaker 1: sold it to a wet market. It happens often. Plumb 1447 01:28:59,640 --> 01:29:01,960 Speaker 1: the Eel is this little tiny island off of New 1448 01:29:02,040 --> 01:29:05,200 Speaker 1: York City, off of Long Island, tiny and it's home 1449 01:29:05,240 --> 01:29:07,519 Speaker 1: of the Plumb Island Animal Disease Center of New York 1450 01:29:07,840 --> 01:29:10,599 Speaker 1: and it studies animal diseases. It's a biosafety lab of three, 1451 01:29:10,600 --> 01:29:13,600 Speaker 1: which is the highest rating. They shut it down and 1452 01:29:13,600 --> 01:29:16,760 Speaker 1: they're building a new one in Kansas. And there's been 1453 01:29:16,760 --> 01:29:19,519 Speaker 1: all these government studies saying that this is a terrible 1454 01:29:19,640 --> 01:29:23,519 Speaker 1: idea to put a lab which studies things like you know, 1455 01:29:23,600 --> 01:29:26,120 Speaker 1: foot and mouth disease, to put it so close to 1456 01:29:26,160 --> 01:29:30,720 Speaker 1: actual animals. Government studies saying this is not safe, but 1457 01:29:30,720 --> 01:29:32,639 Speaker 1: they're doing it anyway. It's one point two five billion 1458 01:29:32,680 --> 01:29:35,240 Speaker 1: dollars or years behind schedule, obviously, But why would it 1459 01:29:35,240 --> 01:29:38,920 Speaker 1: be not safe? Oh, if viruses never leave a laboratory, 1460 01:29:38,960 --> 01:29:41,000 Speaker 1: then who cares? Just put it, put it next to 1461 01:29:41,040 --> 01:29:43,439 Speaker 1: a farm. What's the big deal? Well, the truth is 1462 01:29:43,520 --> 01:29:53,000 Speaker 1: viruses escape from laboratories frequently. Let me share this story. 1463 01:29:53,000 --> 01:29:54,479 Speaker 1: I got three minutes. I'll do it. I'll do it three. 1464 01:29:58,439 --> 01:30:00,719 Speaker 1: It's all about human nature. Every story is about human nature. 1465 01:30:01,680 --> 01:30:05,400 Speaker 1: Humans are evil, can be and you are. Humans can 1466 01:30:05,439 --> 01:30:08,960 Speaker 1: be sloppy and careless, and humans can do things for 1467 01:30:09,040 --> 01:30:16,599 Speaker 1: personal gain. Humans can be evil, sloppy, careless, and greedy. Shocker. Right, 1468 01:30:18,120 --> 01:30:22,720 Speaker 1: here's my story to prove this point. And Thrax when 1469 01:30:22,760 --> 01:30:25,760 Speaker 1: you think and trax, what do you think? God? First, 1470 01:30:26,120 --> 01:30:28,360 Speaker 1: let's do a little word association anthrax boom. First thing 1471 01:30:28,360 --> 01:30:32,200 Speaker 1: you think? What first thing? Anthrax? I think white powder? Okay, 1472 01:30:32,320 --> 01:30:35,920 Speaker 1: uh male, I think mail letters, letters, let it okay, anthrax, 1473 01:30:35,960 --> 01:30:38,719 Speaker 1: antrax um nine to eleven, I think nine to eleven. 1474 01:30:41,520 --> 01:30:43,400 Speaker 1: I think we think pretty much the same things. Right. 1475 01:30:45,320 --> 01:30:50,320 Speaker 1: It was like a week after nine eleven these letters 1476 01:30:50,320 --> 01:30:52,960 Speaker 1: were sent out with anthrax. You know five people died 1477 01:30:53,439 --> 01:30:57,200 Speaker 1: from that. Seventeen people were infected. Five people died. Now, Oh, 1478 01:30:57,240 --> 01:31:06,280 Speaker 1: maybe you thought terrorist, right, you thought al Qaida anthrax Alkaida? Well, 1479 01:31:06,320 --> 01:31:11,200 Speaker 1: one letter said death to America, death to Israel. Allah 1480 01:31:11,320 --> 01:31:17,400 Speaker 1: is great. Who do you know who sent the ANFRACTX? 1481 01:31:20,160 --> 01:31:25,680 Speaker 1: Do you know who sent it? I can't fit it 1482 01:31:25,720 --> 01:31:29,720 Speaker 1: in time. Okay, let's come back. I'll tell you who 1483 01:31:29,880 --> 01:31:35,599 Speaker 1: sent the anthrax. It's the only person who's in jail 1484 01:31:36,520 --> 01:31:40,920 Speaker 1: for a bio terror attack in the United States. I'll 1485 01:31:40,920 --> 01:31:41,960 Speaker 1: tell you who it is, and then we can learn 1486 01:31:41,960 --> 01:31:48,240 Speaker 1: a little lesson on human nature. Humans can be evil, sloppy, careless, 1487 01:31:48,880 --> 01:31:52,680 Speaker 1: and selfish. So if that's true, and of course it is, 1488 01:31:53,400 --> 01:31:56,439 Speaker 1: why would they not also possibly be true for COVID 1489 01:31:57,000 --> 01:31:59,080 Speaker 1: and where it came from. I'll do that next, and 1490 01:31:59,080 --> 01:32:01,160 Speaker 1: then I'll share a bunch of story of viruses leaving 1491 01:32:01,200 --> 01:32:06,799 Speaker 1: laboratories and it's not so crazy after all this idea. 1492 01:32:06,920 --> 01:32:08,479 Speaker 1: And then I'll tell you where I think COVID actually 1493 01:32:08,479 --> 01:32:10,639 Speaker 1: came from. We'll do that all next. Mike's later filling 1494 01:32:10,640 --> 01:32:12,639 Speaker 1: it for Buck Sextons brother the word eighteen Buck. Mike's 1495 01:32:12,680 --> 01:32:14,519 Speaker 1: later in San Diego, filling it for Buck Sexton. I 1496 01:32:14,520 --> 01:32:16,600 Speaker 1: want to talk about well, human nature. Really, that's what 1497 01:32:16,760 --> 01:32:18,840 Speaker 1: every segment is really about. Every stories is a story 1498 01:32:18,880 --> 01:32:20,840 Speaker 1: of human nature. But I want to talk about COVID 1499 01:32:20,880 --> 01:32:23,519 Speaker 1: and where it came from and why this matters. Again, 1500 01:32:23,600 --> 01:32:26,920 Speaker 1: the head of the former head of the CDC thinks 1501 01:32:26,600 --> 01:32:29,840 Speaker 1: that it did not occur naturally and it is favoring 1502 01:32:29,880 --> 01:32:31,720 Speaker 1: the Wuhan lab league. So two things I want to 1503 01:32:31,760 --> 01:32:33,400 Speaker 1: do in this segment. Three, Really, where I think that 1504 01:32:33,400 --> 01:32:40,040 Speaker 1: it came from. How frequently viruses do leave escape laboratories 1505 01:32:40,280 --> 01:32:42,600 Speaker 1: happens often, and I'll tell exactly how often coming up. 1506 01:32:42,640 --> 01:32:44,800 Speaker 1: You'll be shocked. And right now I want to finish 1507 01:32:44,840 --> 01:32:47,440 Speaker 1: the story about anthrax. So again, when you think anthrax, 1508 01:32:47,920 --> 01:32:52,920 Speaker 1: I think male white powder. A Kaeda nine to eleven 1509 01:32:56,760 --> 01:32:59,559 Speaker 1: killed five people. The anthrax attacks right after nine eleven, 1510 01:32:59,600 --> 01:33:04,040 Speaker 1: So who did it? Well? First, how did they figure 1511 01:33:04,040 --> 01:33:06,800 Speaker 1: it out? How do they figure out who did it? 1512 01:33:07,160 --> 01:33:10,000 Speaker 1: So there was an anthrax specialist. He worked at an 1513 01:33:10,080 --> 01:33:12,759 Speaker 1: army military base in Maryland. His name is Bruce Ivans, 1514 01:33:14,080 --> 01:33:17,479 Speaker 1: and he was the FBI's go to guy on testing 1515 01:33:17,520 --> 01:33:22,679 Speaker 1: the anthrax from anthrax, the anthrax letters. Right, these anthrax 1516 01:33:22,720 --> 01:33:25,240 Speaker 1: letters ever sent out, and they're like, Okay, we gotta 1517 01:33:25,320 --> 01:33:26,880 Speaker 1: find out where it's from. Like what do we know 1518 01:33:26,880 --> 01:33:29,000 Speaker 1: about this anthrax and maybe we can determine something about 1519 01:33:29,000 --> 01:33:32,280 Speaker 1: where it came from. Right, this guy, Bruce Ivans, he 1520 01:33:32,360 --> 01:33:34,800 Speaker 1: also developed He was the expert of anthrax. Right, He 1521 01:33:34,840 --> 01:33:38,519 Speaker 1: developed a vaccine for anthrax to protect American troops. He 1522 01:33:38,600 --> 01:33:42,559 Speaker 1: was the foremost expert. Well as he was inspecting this 1523 01:33:42,600 --> 01:33:49,320 Speaker 1: anthrax that was sent to politicians and newsrooms, he discovered 1524 01:33:49,360 --> 01:33:52,519 Speaker 1: that this anthrax had some mineral in it, which they 1525 01:33:52,600 --> 01:33:59,280 Speaker 1: traced back to Iraq. So that's narrowed our search a bit, right, 1526 01:34:00,160 --> 01:34:03,719 Speaker 1: it's clearly an Al Qaeda a terrorist attack. Let's focus 1527 01:34:03,720 --> 01:34:08,519 Speaker 1: on it. There was another researcher that the FBI later used, 1528 01:34:09,760 --> 01:34:15,360 Speaker 1: Northern Arizona University, and he analyzed the the anthrax and 1529 01:34:15,479 --> 01:34:22,960 Speaker 1: he found that this strain of anthrax was used in 1530 01:34:23,200 --> 01:34:34,120 Speaker 1: anthrax research in America. I'll cut to the chase who 1531 01:34:34,160 --> 01:34:37,360 Speaker 1: sent the anthrax out and killed five people. Bruce Ivans, 1532 01:34:39,200 --> 01:34:44,879 Speaker 1: the only anthrax bioterrorist in American history, was the anthrax expert. 1533 01:34:45,960 --> 01:34:49,439 Speaker 1: He sent the letters out of himself. He sent the 1534 01:34:49,520 --> 01:34:55,439 Speaker 1: letters out himself. He deceived the FBI by saying, you 1535 01:34:55,520 --> 01:35:00,280 Speaker 1: know death Allah Allah's great and by saying that it 1536 01:35:00,320 --> 01:35:04,920 Speaker 1: came from Iraq. He set it up twenty one years 1537 01:35:05,120 --> 01:35:07,679 Speaker 1: of working with anthrax at the Army Medical Research Institute 1538 01:35:07,680 --> 01:35:11,400 Speaker 1: of Infectious Disease, worked alongside the FBI to try to 1539 01:35:11,439 --> 01:35:14,160 Speaker 1: solve this crime, throwing them off the scent it was 1540 01:35:14,240 --> 01:35:18,519 Speaker 1: him all along. Why three possible reasons he ended up 1541 01:35:18,520 --> 01:35:20,880 Speaker 1: committing suicide in two thousand and seven when it was 1542 01:35:20,920 --> 01:35:23,400 Speaker 1: clear that the FBI was going to arrest him. First 1543 01:35:24,200 --> 01:35:27,560 Speaker 1: three reasons again, human nature. Everything's human nature. First, narcissistic 1544 01:35:27,640 --> 01:35:31,920 Speaker 1: hero complex. This is from the New York Times. They 1545 01:35:31,960 --> 01:35:33,439 Speaker 1: did a piece on him in two thousand and nine. 1546 01:35:34,040 --> 01:35:36,479 Speaker 1: In the emotional days after September eleventh, friends were not 1547 01:35:36,520 --> 01:35:39,120 Speaker 1: surprised when doctor Ivans signed up as a Red Cross 1548 01:35:39,200 --> 01:35:42,479 Speaker 1: volunteer on September twenty second, two thousand and one, a 1549 01:35:42,560 --> 01:35:45,200 Speaker 1: date it would turn out between the two Anthrax mailings. 1550 01:35:45,240 --> 01:35:48,479 Speaker 1: So think about that. He sent out anthrax, then went 1551 01:35:48,520 --> 01:35:50,599 Speaker 1: to go volunteer to work at the Red Cross, and 1552 01:35:50,600 --> 01:35:54,879 Speaker 1: then sent out more anthrax. Okay. In between setting out anthrax, 1553 01:35:55,080 --> 01:35:59,160 Speaker 1: he attended a Red Cross class introduction to disaster services. 1554 01:36:00,040 --> 01:36:02,599 Speaker 1: To the atmosphere, he told friends, And three months later, 1555 01:36:02,600 --> 01:36:05,080 Speaker 1: as the crushing workload created by the Anthrax letters began 1556 01:36:05,120 --> 01:36:08,479 Speaker 1: to ease, he applied for more training, noting that he 1557 01:36:08,520 --> 01:36:11,200 Speaker 1: worked at the Army Institute. He wrote in his application, 1558 01:36:11,680 --> 01:36:14,799 Speaker 1: perhaps I could help in case of a disaster related 1559 01:36:14,840 --> 01:36:19,880 Speaker 1: to biological agents. Perhaps I could help in case of 1560 01:36:19,920 --> 01:36:23,559 Speaker 1: a disaster related to biological agents. Reminder, he was the 1561 01:36:23,600 --> 01:36:28,880 Speaker 1: one who sent the anthrax letters, no one else, and 1562 01:36:29,040 --> 01:36:33,360 Speaker 1: here he is rising to the occasion. I will solve 1563 01:36:33,439 --> 01:36:40,799 Speaker 1: this problem that I caused. Hero complex, narcissistic hero complex. 1564 01:36:40,920 --> 01:36:43,800 Speaker 1: That's one aspect of human nature too. He had the 1565 01:36:43,880 --> 01:36:49,560 Speaker 1: patent to the vaccine, so if everyone's scared to get anthrax, 1566 01:36:50,160 --> 01:36:52,840 Speaker 1: we've got to make a ton of vaccines. He would 1567 01:36:52,880 --> 01:36:57,519 Speaker 1: have made a lot of money. Who you're surprised that 1568 01:36:57,520 --> 01:37:00,840 Speaker 1: people are motivated by greed? Maybe a bit of pride 1569 01:37:00,840 --> 01:37:02,720 Speaker 1: there too. He spent years making this vaccine and it 1570 01:37:02,800 --> 01:37:04,479 Speaker 1: just wasn't taken off. There wasn't a need for it. 1571 01:37:04,920 --> 01:37:08,280 Speaker 1: He tried to make one. And then third reason he 1572 01:37:08,360 --> 01:37:16,719 Speaker 1: wasn't probably very mentally well. Crazy people can do crazy things. Again, 1573 01:37:16,760 --> 01:37:20,679 Speaker 1: I share this story of human nature, what motivates people 1574 01:37:20,680 --> 01:37:28,240 Speaker 1: to do things? Sex, pride, money, fame, narcissism, savior, complex, 1575 01:37:28,439 --> 01:37:33,760 Speaker 1: a lot of forces at play. Become a student of 1576 01:37:33,760 --> 01:37:38,040 Speaker 1: these things and things make sense. And also people can 1577 01:37:38,080 --> 01:37:42,080 Speaker 1: be evil, people can do evil for evil's sake. And 1578 01:37:42,240 --> 01:37:48,559 Speaker 1: also most commonly, people can be sloppy, sloppy, lazy, and careless. 1579 01:37:49,120 --> 01:37:51,519 Speaker 1: And then on top of all that, no one likes 1580 01:37:51,520 --> 01:37:56,200 Speaker 1: to ever admit they're wrong. So all this consensus science again, 1581 01:37:56,240 --> 01:37:58,120 Speaker 1: go to our website, mic Citter at locals dot com. 1582 01:37:58,160 --> 01:38:02,120 Speaker 1: I'll put up that Michael Crichton's speech aliens cause global 1583 01:38:02,120 --> 01:38:07,719 Speaker 1: warming and he goes through all these examples of consensus 1584 01:38:07,720 --> 01:38:11,800 Speaker 1: science and why these consensus scientists were wrong, and why 1585 01:38:11,800 --> 01:38:15,200 Speaker 1: it took so long for them to admit they were wrong. 1586 01:38:15,479 --> 01:38:18,720 Speaker 1: Why when when do things normally change? When that people die? 1587 01:38:19,479 --> 01:38:22,240 Speaker 1: Like like, so you have the consensus group. I think, 1588 01:38:22,280 --> 01:38:28,280 Speaker 1: for example, the any like elementary school kid can see 1589 01:38:28,280 --> 01:38:30,800 Speaker 1: that the continents fit pretty closely together. They fit up 1590 01:38:30,880 --> 01:38:33,599 Speaker 1: real snug and nice. And the first person to think 1591 01:38:33,600 --> 01:38:35,639 Speaker 1: that was nineteen twenty one, the first person to officially 1592 01:38:35,640 --> 01:38:37,280 Speaker 1: come out and say, hey, I think these continents probably 1593 01:38:37,320 --> 01:38:40,360 Speaker 1: all were like together. And the consensus said no. And 1594 01:38:40,400 --> 01:38:43,960 Speaker 1: it took over fifty years before people realize that the 1595 01:38:44,000 --> 01:38:46,880 Speaker 1: teutonic plates move and the continents moved and drifted apart. Right, 1596 01:38:47,160 --> 01:38:50,880 Speaker 1: So there's fifty years of the consensus saying no, no, no, no, no, 1597 01:38:50,880 --> 01:38:54,599 Speaker 1: why why? Why did it? Eventually turn? All those people died, right, 1598 01:38:54,600 --> 01:38:56,639 Speaker 1: They were the experts in their field and their fifties 1599 01:38:56,640 --> 01:38:58,519 Speaker 1: and sixties, and fifty years later they were dead, and 1600 01:38:58,560 --> 01:39:00,720 Speaker 1: the new group came up and they weren't held down 1601 01:39:00,840 --> 01:39:07,360 Speaker 1: by that ego anymore. So eventually the truth comes. Because 1602 01:39:07,520 --> 01:39:13,519 Speaker 1: so many people build their livelihoods around a consensus. So 1603 01:39:13,560 --> 01:39:16,439 Speaker 1: if you admit you're wrong, well that's a huge blow 1604 01:39:16,439 --> 01:39:20,120 Speaker 1: to your ego but also your livelihood. Once the people 1605 01:39:20,120 --> 01:39:23,160 Speaker 1: who hold that consensus die out, then people are more 1606 01:39:23,160 --> 01:39:25,559 Speaker 1: free to follow the truth as opposed to their own pride. 1607 01:39:30,280 --> 01:39:34,599 Speaker 1: So that's the anthrax story, which leads to how often 1608 01:39:35,520 --> 01:39:45,519 Speaker 1: viruses leak from laboratories quote here. By nineteen sixty hundreds 1609 01:39:45,560 --> 01:39:49,800 Speaker 1: of American scientists and technicians have been hospitalized victims of 1610 01:39:49,840 --> 01:39:55,640 Speaker 1: the diseases they were trying to weaponize. One guy investigated 1611 01:39:55,840 --> 01:39:59,080 Speaker 1: Q fever three times, and all three times scientists and 1612 01:39:59,120 --> 01:40:04,400 Speaker 1: staffers got sick. In the anthrax pilot plant in Camp Derect, Maryland. 1613 01:40:04,520 --> 01:40:07,280 Speaker 1: Nineteen fifty one, a microbiologist attempting to perfect the foaming 1614 01:40:07,320 --> 01:40:11,160 Speaker 1: process developed a fever and died. Nineteen sixty four, a 1615 01:40:11,240 --> 01:40:14,320 Speaker 1: vet worker, Albert Nichol, fell ill after being bitten by 1616 01:40:14,320 --> 01:40:18,639 Speaker 1: a lab animal. His wife wasn't told that he had 1617 01:40:18,720 --> 01:40:21,639 Speaker 1: this virus. Quote. I watched him die through a little 1618 01:40:21,640 --> 01:40:27,120 Speaker 1: window to his quarantine room at the infirmary. Nineteen seventy seven, 1619 01:40:27,160 --> 01:40:30,600 Speaker 1: a worldwide epidemic of influenza A began in Russia and China, 1620 01:40:30,680 --> 01:40:33,840 Speaker 1: who was eventually traced to a sample of an American 1621 01:40:33,920 --> 01:40:37,839 Speaker 1: strain of flu preserved in a laboratory freezer since nineteen 1622 01:40:37,920 --> 01:40:41,439 Speaker 1: seventy excuse me since nineteen fifty. So a strain of 1623 01:40:41,479 --> 01:40:45,880 Speaker 1: flu in an American freezer in nineteen fifty somehow started 1624 01:40:46,000 --> 01:40:49,320 Speaker 1: a strain in Russia. An outbreak in Russia and China 1625 01:40:49,400 --> 01:40:52,280 Speaker 1: in nineteen seventy eight, a hybrid strain of smallpox killed 1626 01:40:52,320 --> 01:40:56,040 Speaker 1: a medical photographer at a lab in Birmingham, England. Two 1627 01:40:56,080 --> 01:40:58,640 Speaker 1: thousand and seven, live foot in mouth disease leaked from 1628 01:40:58,680 --> 01:41:02,160 Speaker 1: a faulty drain plant at the Institute for Animal Health 1629 01:41:02,200 --> 01:41:06,400 Speaker 1: in England. In the US, you ready for this? From 1630 01:41:06,439 --> 01:41:08,040 Speaker 1: two thousand and eight to two tho twelve, let me 1631 01:41:08,080 --> 01:41:11,080 Speaker 1: ask you this question. How many lab leaks do you 1632 01:41:11,120 --> 01:41:14,760 Speaker 1: think happen every year? If you ask me that, I 1633 01:41:14,800 --> 01:41:21,200 Speaker 1: would say I don't know, zero, probably none. But how 1634 01:41:21,240 --> 01:41:25,639 Speaker 1: many lab leaks could there possible? Okay, people are gonna 1635 01:41:25,640 --> 01:41:27,160 Speaker 1: be careless. You can't have you know, it can't be 1636 01:41:27,240 --> 01:41:31,880 Speaker 1: zero one one a year two thousand and eight to 1637 01:41:31,880 --> 01:41:36,920 Speaker 1: two thou twelve, more than one thousand, one hundred laboratory 1638 01:41:36,960 --> 01:41:41,680 Speaker 1: incidents involving bacteria, viruses, and toxins that post significant or 1639 01:41:41,760 --> 01:41:45,040 Speaker 1: bio terror risks to people in agriculture were reported to 1640 01:41:45,040 --> 01:41:52,519 Speaker 1: federal regulators one thousand, one hundred. Two fifteen, the Department 1641 01:41:52,520 --> 01:41:55,080 Speaker 1: of Defense discovered that workers at a germ warfare testing 1642 01:41:55,120 --> 01:41:58,439 Speaker 1: center in Utah had mistakenly sent close to two hundred 1643 01:41:58,439 --> 01:42:04,320 Speaker 1: shipments of live anthrax to laboratories throughout the world. It 1644 01:42:04,479 --> 01:42:11,320 Speaker 1: just accidentally sent anthrax. Here's a good one. Vials of 1645 01:42:11,439 --> 01:42:16,360 Speaker 1: smallpox were discovered at a laboratory at the National Institute 1646 01:42:16,360 --> 01:42:18,439 Speaker 1: of Health. They had apparently been put away and forgotten 1647 01:42:18,479 --> 01:42:22,599 Speaker 1: for fifty years. So the WHO told everyone to destroy 1648 01:42:22,640 --> 01:42:26,559 Speaker 1: all their smallpox in nineteen eighty six. So nineteen eighty six, everyone, 1649 01:42:26,600 --> 01:42:29,240 Speaker 1: you got to get rid of your small pox. So 1650 01:42:29,280 --> 01:42:31,639 Speaker 1: there's only two strains left, one in Russia, one in Atlanta. 1651 01:42:31,640 --> 01:42:33,920 Speaker 1: At the head of the CDC that was That was 1652 01:42:33,920 --> 01:42:36,000 Speaker 1: by nineteen ninety three. So nineteen ninety three, there's only 1653 01:42:36,000 --> 01:42:39,360 Speaker 1: two strains of smallpox, Russia and Atlanta. That's it. In 1654 01:42:39,400 --> 01:42:43,320 Speaker 1: twenty fourteen, twenty years later, they found six vials in 1655 01:42:43,320 --> 01:42:47,960 Speaker 1: a storage room in DC. Whoops, someone just rummaging through 1656 01:42:47,960 --> 01:42:50,040 Speaker 1: the closet. Oh what's this. Oh i'd a small pox. 1657 01:42:53,560 --> 01:42:55,920 Speaker 1: I'll tell you where I think COVID came from. Next 1658 01:42:56,200 --> 01:43:00,799 Speaker 1: point is consensus science, Right, it's gonna come around with masks. 1659 01:43:00,800 --> 01:43:02,800 Speaker 1: We'll realize this whole thing was silly. The masks and 1660 01:43:02,840 --> 01:43:06,000 Speaker 1: the distancing even and all this stuff. When it comes 1661 01:43:06,000 --> 01:43:09,280 Speaker 1: to leaking, and we're all human. We're humans who do 1662 01:43:09,400 --> 01:43:12,559 Speaker 1: very bad things intentionally like the anthrax guy, and we're 1663 01:43:12,600 --> 01:43:16,960 Speaker 1: humans who make really stupid mistakes, and more related to 1664 01:43:17,040 --> 01:43:19,639 Speaker 1: masks and lockdowns, we're humans who don't like to admit 1665 01:43:19,680 --> 01:43:24,040 Speaker 1: we're wrong. We don't like to admit we're wrong, so 1666 01:43:24,040 --> 01:43:25,960 Speaker 1: we double down, we double down, and we double down. 1667 01:43:27,280 --> 01:43:29,960 Speaker 1: And here we are a year later, over a year later, 1668 01:43:30,439 --> 01:43:32,800 Speaker 1: and still doing this silliness. I'll come back. I'll tell 1669 01:43:32,800 --> 01:43:34,840 Speaker 1: you where I think COVID came from. I'll prove it. 1670 01:43:35,720 --> 01:43:37,840 Speaker 1: Mike's later feeling it for Buck Sexton, spread the word hey, 1671 01:43:37,840 --> 01:43:39,920 Speaker 1: team Buck. Mike's later filing it for Buck Sexton. Our 1672 01:43:39,960 --> 01:43:43,040 Speaker 1: final segment here today, just again talking about the beginnings 1673 01:43:43,040 --> 01:43:46,400 Speaker 1: of COVID and consensus signs and human nature. And I'll 1674 01:43:46,400 --> 01:43:47,840 Speaker 1: get to in a minute here where I think COVID 1675 01:43:47,920 --> 01:43:49,400 Speaker 1: came from exactly. But I just want to prove the 1676 01:43:49,400 --> 01:43:53,719 Speaker 1: point that viruses and bacteria and deadly things leave. Viruses 1677 01:43:53,800 --> 01:43:58,080 Speaker 1: escape laboratories all the time, all the time, frequently. Even 1678 01:43:58,640 --> 01:44:00,400 Speaker 1: Why else would there be so many government studies that 1679 01:44:00,479 --> 01:44:07,160 Speaker 1: say you shouldn't move the Laboratory on Food safety into Kansas. 1680 01:44:07,479 --> 01:44:09,080 Speaker 1: They're like, oh, it's too close to the food Well, 1681 01:44:09,320 --> 01:44:13,760 Speaker 1: why would that be a concern if viruses never leave 1682 01:44:14,840 --> 01:44:19,320 Speaker 1: the labs. Happens all the time. There was a Dutch 1683 01:44:19,320 --> 01:44:24,400 Speaker 1: scientist in two eleven who said he forced this was 1684 01:44:24,439 --> 01:44:27,040 Speaker 1: his word. He took a form of the avian flu, 1685 01:44:27,160 --> 01:44:29,840 Speaker 1: he passed it through ferrets ten times to prove that 1686 01:44:29,880 --> 01:44:36,320 Speaker 1: he could force his potentially fatal disease to infect humans. 1687 01:44:39,439 --> 01:44:41,200 Speaker 1: And when he did that, there were all these scientists 1688 01:44:41,200 --> 01:44:44,479 Speaker 1: who said, whoa, whoa, we gotta slow our role here 1689 01:44:45,040 --> 01:44:47,080 Speaker 1: twenty twelve, The New York Times, you're an editorial and 1690 01:44:47,240 --> 01:44:52,479 Speaker 1: engineered doomsday. The consequences should the virus escape are too 1691 01:44:52,560 --> 01:44:55,360 Speaker 1: devastating to risk. Should the virus escape, I thought that 1692 01:44:55,439 --> 01:45:02,880 Speaker 1: was an impossibility. Two thousands sixteen, one thousand page dissertation 1693 01:45:02,960 --> 01:45:06,640 Speaker 1: from a consulting group hired by the National Science Advisory. 1694 01:45:07,320 --> 01:45:10,200 Speaker 1: One of the chapters was increasing the transmissible the virus 1695 01:45:10,520 --> 01:45:14,040 Speaker 1: could significantly increase the chance of a global pandemic due 1696 01:45:14,040 --> 01:45:17,559 Speaker 1: to a laboratory accident. Wait a second, that was twenty sixteen. 1697 01:45:17,640 --> 01:45:21,080 Speaker 1: I thought this was crazy talk. I thought, it's crazy 1698 01:45:21,200 --> 01:45:24,000 Speaker 1: that something could leave a laboratory like this. Oh, you're 1699 01:45:24,040 --> 01:45:26,880 Speaker 1: a wacky conspiracy theory. Why are you being so mean 1700 01:45:26,960 --> 01:45:31,840 Speaker 1: to China? All right, here's how it worked. There's the 1701 01:45:31,840 --> 01:45:33,559 Speaker 1: most of my guess. This is my go at it right. 1702 01:45:35,080 --> 01:45:40,040 Speaker 1: April twenty twelve, there's a copper mine in southern southeastern China. 1703 01:45:40,880 --> 01:45:44,240 Speaker 1: Some guys, three particularly three men, were given this job 1704 01:45:44,520 --> 01:45:49,120 Speaker 1: of shoveling out the bat number two out of the 1705 01:45:49,160 --> 01:45:51,320 Speaker 1: mine shaft. Okay, we got this copper mine, we got 1706 01:45:51,320 --> 01:45:53,760 Speaker 1: to clear it out. Okay, you guys, you you, you 1707 01:45:54,120 --> 01:45:57,240 Speaker 1: go shovel out the poop. So they went in seven 1708 01:45:57,280 --> 01:46:01,880 Speaker 1: hours a day in this tiny, knot ventilated mind shaft, 1709 01:46:02,960 --> 01:46:07,360 Speaker 1: shoveling out bat poop. At the end of the week, 1710 01:46:07,680 --> 01:46:11,440 Speaker 1: they all were sick, and no one knew exactly why. 1711 01:46:13,800 --> 01:46:17,160 Speaker 1: Three more shovelers were hired to replace them. There they 1712 01:46:17,160 --> 01:46:21,639 Speaker 1: went to the hospital r so three more winning they 1713 01:46:21,680 --> 01:46:29,000 Speaker 1: got sick, went to the doctor. No. No one at 1714 01:46:29,000 --> 01:46:31,160 Speaker 1: the hospital knew what it was, but they took the 1715 01:46:31,240 --> 01:46:37,920 Speaker 1: virus and they brought it to this Wuhan laboratory. They 1716 01:46:37,960 --> 01:46:40,280 Speaker 1: worked on the lab. They worked on it the gain 1717 01:46:40,320 --> 01:46:42,160 Speaker 1: of function they call it right, the gain of function 1718 01:46:42,200 --> 01:46:48,920 Speaker 1: experiments at the Wuhan lab. And who knows what happened 1719 01:46:48,960 --> 01:46:53,799 Speaker 1: from there, but that's the connection from this bat mine 1720 01:46:55,080 --> 01:46:57,960 Speaker 1: made it right? How did the question is how did 1721 01:46:58,000 --> 01:47:02,000 Speaker 1: you get from Southeast China to Wuhan through the lab. 1722 01:47:02,040 --> 01:47:03,840 Speaker 1: It was an experiment, like these people are getting sick. 1723 01:47:03,840 --> 01:47:05,080 Speaker 1: Why we don't know what it is. Okay, well let's 1724 01:47:05,080 --> 01:47:07,960 Speaker 1: take it and let's study it. Boom, let's send it 1725 01:47:07,960 --> 01:47:09,720 Speaker 1: over to the Wuhan lab. Well, that's what they do 1726 01:47:09,720 --> 01:47:14,760 Speaker 1: at the Wuhan lab. They study bat viruses, specifically what 1727 01:47:14,840 --> 01:47:18,360 Speaker 1: they do, and they do these gain a function experiments 1728 01:47:19,720 --> 01:47:22,719 Speaker 1: to make it more virulent. And then somehow it escaped 1729 01:47:22,800 --> 01:47:26,200 Speaker 1: from one of the labs, which happens frequently. Told the 1730 01:47:26,240 --> 01:47:29,120 Speaker 1: story earlier in uh It was in China. They were 1731 01:47:29,120 --> 01:47:31,559 Speaker 1: doing some experiments on monkeys or whatever, and the guy, 1732 01:47:31,720 --> 01:47:33,360 Speaker 1: one of the lab techs took them some of the 1733 01:47:33,400 --> 01:47:35,720 Speaker 1: animals and they sold them in the back alley, sold 1734 01:47:35,760 --> 01:47:37,840 Speaker 1: them to the back alley to go be sold at 1735 01:47:37,840 --> 01:47:41,439 Speaker 1: the wet market. Okay, so I don't know how it escaped, 1736 01:47:41,840 --> 01:47:43,639 Speaker 1: but that's what happened. And then on top of that China. 1737 01:47:43,680 --> 01:47:45,599 Speaker 1: I don't think China intentionally sent it to the world, 1738 01:47:46,000 --> 01:47:47,800 Speaker 1: but I don't think they did anything to stop it 1739 01:47:47,800 --> 01:47:50,559 Speaker 1: from being sent around the world because they're like, hey, 1740 01:47:50,600 --> 01:47:52,360 Speaker 1: we know we're going to be taken out by this virus, 1741 01:47:52,600 --> 01:47:54,960 Speaker 1: So we don't want to be a competitive disadvantage. Let's 1742 01:47:54,960 --> 01:47:56,840 Speaker 1: just let it go out around the world anyway. That's 1743 01:47:56,840 --> 01:48:00,000 Speaker 1: how I think that went down. But listen, we'll see. 1744 01:48:00,200 --> 01:48:04,759 Speaker 1: What I'm against is the consensus science that says, oh, 1745 01:48:04,800 --> 01:48:12,439 Speaker 1: you're an idiot. Viruses never leak out of laboratories or 1746 01:48:13,000 --> 01:48:18,639 Speaker 1: happens all the time, but it would never happen in China. Right, 1747 01:48:21,040 --> 01:48:25,559 Speaker 1: watch out for consensus science coming up on tomorrow. Shell. 1748 01:48:25,600 --> 01:48:28,479 Speaker 1: You know, we talked earlier about Little Buck's gonna be here. 1749 01:48:28,479 --> 01:48:31,000 Speaker 1: On Wednesday, we talked about Little NASAs and his Satan's 1750 01:48:31,000 --> 01:48:37,120 Speaker 1: shoes trying to get attention. Our kids are just inundated 1751 01:48:37,160 --> 01:48:40,559 Speaker 1: with just horrible stuff all the time, non stop. Tomorrow, 1752 01:48:40,760 --> 01:48:42,599 Speaker 1: I want to spend some time focusing on, as Plato 1753 01:48:42,680 --> 01:48:45,280 Speaker 1: called it, the good, the beautiful, and the true things 1754 01:48:45,280 --> 01:48:48,960 Speaker 1: that are praiseworthy, praiseworthy and admirable and noble and good. 1755 01:48:49,640 --> 01:48:51,040 Speaker 1: We need more of that in our lives, and I 1756 01:48:51,120 --> 01:48:52,600 Speaker 1: want to encourage us all to do more of that, 1757 01:48:52,680 --> 01:48:54,400 Speaker 1: and then also to make sure our kids are surrounded 1758 01:48:54,400 --> 01:48:57,240 Speaker 1: by that, because there's so much ugliness that they're inundated with. 1759 01:48:57,439 --> 01:48:59,400 Speaker 1: So we do that tomorrow show. Mike's later Dot locals 1760 01:48:59,520 --> 01:49:00,880 Speaker 1: dot com seeing him of spread the word