1 00:00:02,120 --> 00:00:05,680 Speaker 1: Wow, doctor Robert Malone went on Joe Rogan and set 2 00:00:05,760 --> 00:00:10,120 Speaker 1: the world on fire or Diddy because he got censored. 3 00:00:10,119 --> 00:00:12,440 Speaker 1: We're gonna talk about that tonight. We're gonna talk about 4 00:00:12,560 --> 00:00:16,680 Speaker 1: January sixth. Yes, I'm back, I'm live. Let's do it. 5 00:00:16,760 --> 00:00:27,960 Speaker 1: And I'm right. I'm Jesse Kelly. Welcome to I'm right. 6 00:00:28,080 --> 00:00:36,840 Speaker 1: It's time for some COVID communism. Okay, it's back. I'm back. 7 00:00:37,240 --> 00:00:40,280 Speaker 1: I'm right, it's back. Had a little vacation. I had 8 00:00:40,320 --> 00:00:44,520 Speaker 1: a little vacation. And I know, I understand you're only human. 9 00:00:44,800 --> 00:00:47,479 Speaker 1: You missed me. You were probably just flipping through the 10 00:00:47,560 --> 00:00:50,640 Speaker 1: channels every single night, dying for somebody to bring you 11 00:00:50,680 --> 00:00:53,080 Speaker 1: the news and entertainment the way I do when I 12 00:00:53,200 --> 00:00:55,760 Speaker 1: understand that. But I had to take a little vacation. 13 00:00:56,240 --> 00:00:59,360 Speaker 1: Now I'm back in the chair, So no worries, no fear. 14 00:01:00,280 --> 00:01:03,520 Speaker 1: Jesse's here. All right, that's enough of that nonsense. Let's 15 00:01:03,520 --> 00:01:05,520 Speaker 1: talk about what's going on in the world. There's been 16 00:01:05,560 --> 00:01:08,000 Speaker 1: a lot, right, there's been a lot. But let's talk 17 00:01:08,040 --> 00:01:11,240 Speaker 1: about something I've definitely noticed as I was on vacation 18 00:01:11,360 --> 00:01:14,640 Speaker 1: browsing the news as one does as I was on vacation, 19 00:01:14,720 --> 00:01:17,840 Speaker 1: browsing the news, have really really noticed something happening. I'm 20 00:01:17,880 --> 00:01:23,160 Speaker 1: sure you've probably seen it too. There appears to be major, 21 00:01:23,200 --> 00:01:28,760 Speaker 1: major shifts happening in the information, the COVID information, the 22 00:01:28,880 --> 00:01:31,880 Speaker 1: system is giving you, the COVID guidance, the system is 23 00:01:31,920 --> 00:01:36,600 Speaker 1: giving you. They almost seem to be telling the truth. 24 00:01:36,640 --> 00:01:38,840 Speaker 1: A little bit. Backing off a little bit might be 25 00:01:38,880 --> 00:01:41,160 Speaker 1: a better way to put in the CDC. It's no 26 00:01:41,240 --> 00:01:44,640 Speaker 1: longer ten days, it's fine day five days. All right, 27 00:01:44,720 --> 00:01:48,480 Speaker 1: the cloth mask it doesn't work, but maybe there maybe 28 00:01:48,480 --> 00:01:50,840 Speaker 1: we should back off. I saw someone came out today 29 00:01:50,880 --> 00:01:56,080 Speaker 1: and said, did you know losing weight that'll actually help 30 00:01:56,120 --> 00:02:00,320 Speaker 1: you fight COVID. So they're coming out in saying things 31 00:02:00,360 --> 00:02:03,080 Speaker 1: everyone with the brain, you me, everyone with the brain 32 00:02:03,200 --> 00:02:06,920 Speaker 1: knew two years ago. We knew very very early on. 33 00:02:06,960 --> 00:02:10,120 Speaker 1: The evidence was everywhere. If you were too fat, COVID 34 00:02:10,240 --> 00:02:12,240 Speaker 1: was going to attack you hard. I'm not a doctor. 35 00:02:12,280 --> 00:02:13,840 Speaker 1: I don't know the reasons for that, but there was 36 00:02:13,919 --> 00:02:16,440 Speaker 1: evidence all over the place of that. People who were 37 00:02:16,480 --> 00:02:18,959 Speaker 1: too heavy, they really really struggled with it. We knew 38 00:02:19,000 --> 00:02:20,920 Speaker 1: that COVID went after old people. We knew that early. 39 00:02:21,120 --> 00:02:24,080 Speaker 1: Now they're just discovering it. We knew the lockdowns didn't work. 40 00:02:24,120 --> 00:02:27,079 Speaker 1: You knew that didn't work. They're acting like this as news. 41 00:02:27,360 --> 00:02:30,120 Speaker 1: We knew that stupid little the little paper thin masks 42 00:02:30,160 --> 00:02:31,919 Speaker 1: they give you at the airport to put on when 43 00:02:31,919 --> 00:02:35,000 Speaker 1: you forgot your mask, as I always do. We knew 44 00:02:35,000 --> 00:02:37,760 Speaker 1: it didn't do anything. Now they're all saying, wow, I 45 00:02:37,760 --> 00:02:40,680 Speaker 1: mean these cloth masks aren't really any good. So what's 46 00:02:40,680 --> 00:02:44,200 Speaker 1: happening out there now? Well, here's what's happening. It's it's 47 00:02:44,200 --> 00:02:47,720 Speaker 1: complicated because I'm about to go into this long interview. 48 00:02:47,760 --> 00:02:50,280 Speaker 1: This outstanding interview credit to him, Joe Rogan did with 49 00:02:50,400 --> 00:02:54,560 Speaker 1: doctor Robert Malone, you know, the inventor of the mr NA, 50 00:02:55,880 --> 00:02:58,400 Speaker 1: the inventor of it. It did a long, long interview 51 00:02:58,400 --> 00:03:00,520 Speaker 1: with him. We're going to go over some highlights, but 52 00:03:00,520 --> 00:03:02,399 Speaker 1: before we go into that, I want you to understand 53 00:03:02,440 --> 00:03:04,720 Speaker 1: what you're seeing and why you're seeing it right now. 54 00:03:06,280 --> 00:03:10,680 Speaker 1: The Biden administration, they well, the left in general, the 55 00:03:10,720 --> 00:03:15,239 Speaker 1: communists in America, they needed death and misery to pile 56 00:03:15,320 --> 00:03:18,079 Speaker 1: up while Donald Trump was president so they could win 57 00:03:18,120 --> 00:03:21,840 Speaker 1: an election. And you also have to remember this, the 58 00:03:21,919 --> 00:03:25,280 Speaker 1: communists may be vicious and aggressive, but the communist is 59 00:03:25,320 --> 00:03:28,440 Speaker 1: also very, very dumb, and he's actually subject to his 60 00:03:28,520 --> 00:03:32,440 Speaker 1: own propaganda. Yeah, they wanted everyone to die under Donald Trump, 61 00:03:33,000 --> 00:03:36,240 Speaker 1: but at the same time they were banking on this vaccine. 62 00:03:36,280 --> 00:03:39,040 Speaker 1: If they could beat Donald Trump, then the vaccine, Joe 63 00:03:39,080 --> 00:03:41,760 Speaker 1: Biden would get credit for it, and it would fix everybody, 64 00:03:41,760 --> 00:03:43,800 Speaker 1: would fix everything. And then it would look like Joe 65 00:03:43,800 --> 00:03:46,560 Speaker 1: Biden came in and what did he say, I'll stop 66 00:03:46,600 --> 00:03:48,280 Speaker 1: the virus. I'll shut down the virus. You remember we 67 00:03:48,320 --> 00:03:51,600 Speaker 1: played to that clip a bunch. Okay, Well, there's wishing 68 00:03:51,640 --> 00:03:56,560 Speaker 1: and then there's reality. Joe Biden gets elected and something's 69 00:03:56,560 --> 00:03:59,280 Speaker 1: not working. I don't want to say what's not working. 70 00:03:59,320 --> 00:04:02,080 Speaker 1: I don't know, but we have more COVID deaths in 71 00:04:02,160 --> 00:04:05,600 Speaker 1: twenty twenty one than Trump had in twenty twenty without 72 00:04:05,640 --> 00:04:09,400 Speaker 1: a vaccine. So something's not working out. Something's not working 73 00:04:09,400 --> 00:04:14,280 Speaker 1: out at all, and people are starting to ask questions. 74 00:04:15,040 --> 00:04:17,559 Speaker 1: People will eventually get to the point where they ask questions. Okay, 75 00:04:17,600 --> 00:04:19,400 Speaker 1: you told me if I wore a mask it would help. 76 00:04:19,400 --> 00:04:20,760 Speaker 1: It didn't help you too, me if I got a 77 00:04:20,839 --> 00:04:23,680 Speaker 1: vaccine that I wouldn't get or spread coronavirus. But now 78 00:04:23,680 --> 00:04:26,799 Speaker 1: I got coronavirus and I'm spreading coronavirus. I don't understand. Okay, 79 00:04:26,800 --> 00:04:28,360 Speaker 1: now I have to get a booster. That didn't work. 80 00:04:28,400 --> 00:04:31,200 Speaker 1: Now you're recommending a fourth booster. What's happening out there? 81 00:04:31,200 --> 00:04:35,120 Speaker 1: People were starting to ask questions. People are starting to 82 00:04:35,160 --> 00:04:39,680 Speaker 1: wake up. And the truth is, you've been on top 83 00:04:39,760 --> 00:04:43,000 Speaker 1: of this. I've been on top of this. But man, 84 00:04:44,040 --> 00:04:46,719 Speaker 1: they have a lot to wake up too. There's one 85 00:04:46,760 --> 00:04:48,359 Speaker 1: thing about this before we go into the rest of 86 00:04:48,360 --> 00:04:49,960 Speaker 1: the interview. I did want to play this little part 87 00:04:49,960 --> 00:04:52,320 Speaker 1: of it. There's one thing about this I'll still marvel 88 00:04:52,360 --> 00:04:55,679 Speaker 1: at to this day. Right when they announced fifteen days 89 00:04:55,680 --> 00:04:58,839 Speaker 1: to slow the spread and governors and mayors, everyone go home, 90 00:04:58,880 --> 00:05:01,640 Speaker 1: shut down your business not essential, you are essential. Right 91 00:05:01,640 --> 00:05:05,919 Speaker 1: when they did that, I remember screaming, screaming on my shows. 92 00:05:07,040 --> 00:05:11,640 Speaker 1: Whatever you think about lockdowns, that's not even legal. You're 93 00:05:11,640 --> 00:05:15,960 Speaker 1: not allowed as the president, governor, senator, mayor. This is America, 94 00:05:16,040 --> 00:05:18,000 Speaker 1: this is not China. You're not allowed to point it 95 00:05:18,080 --> 00:05:21,520 Speaker 1: a business and say you're not essential clothes. You can't 96 00:05:21,560 --> 00:05:23,760 Speaker 1: do that. You don't have the authority to do that 97 00:05:23,800 --> 00:05:27,680 Speaker 1: in this country. Doctor Robert Malone's started out there and 98 00:05:27,720 --> 00:05:31,719 Speaker 1: he wasn't wrong. Our government is out of control on this, 99 00:05:32,360 --> 00:05:38,240 Speaker 1: and they are lawless. They completely disregard bioethics, they completely 100 00:05:38,279 --> 00:05:41,720 Speaker 1: disregard the Federal common Rule. They have broken all the 101 00:05:41,800 --> 00:05:43,839 Speaker 1: rules that I know of that I've been trained on 102 00:05:43,960 --> 00:05:46,760 Speaker 1: for years and years and years. These mandates of an 103 00:05:46,760 --> 00:05:52,800 Speaker 1: experimental vaccine are explicitly illegal. They are explicitly inconsistent with 104 00:05:52,839 --> 00:05:57,080 Speaker 1: the Nuremberg Code, They're explicitly inconsistent with the Belmont Report. 105 00:05:57,360 --> 00:06:03,200 Speaker 1: They are flat out illegal, and they don't care they're illegal. 106 00:06:03,960 --> 00:06:06,800 Speaker 1: They don't care. You can't force someone to do this. 107 00:06:06,920 --> 00:06:08,919 Speaker 1: You can't force someone. They can't force someone to do 108 00:06:08,960 --> 00:06:12,599 Speaker 1: any of these things. But they don't care, and they'll 109 00:06:12,600 --> 00:06:14,560 Speaker 1: be pausible. Clip. Before I go into the rest of this, 110 00:06:14,640 --> 00:06:16,440 Speaker 1: and there's a lot here, and I mean a lot 111 00:06:16,440 --> 00:06:18,200 Speaker 1: here to unpack. Before I go into the rest of this, 112 00:06:18,279 --> 00:06:23,039 Speaker 1: I want you to understand something. How scared is the 113 00:06:23,080 --> 00:06:26,200 Speaker 1: system of what Robert Malone said in this interview. Remember 114 00:06:26,240 --> 00:06:29,760 Speaker 1: this is the expert's expert again, the inventor of mRNA, 115 00:06:29,920 --> 00:06:32,600 Speaker 1: the inventor of it. So no one knows more than 116 00:06:32,640 --> 00:06:35,359 Speaker 1: this guy. Quite literally, how scared is the system of 117 00:06:35,360 --> 00:06:38,200 Speaker 1: what this guy had to say. They promptly banned his 118 00:06:38,240 --> 00:06:41,800 Speaker 1: account on Twitter and Joe Rogan, who, as you can imagine, 119 00:06:41,800 --> 00:06:44,599 Speaker 1: he has a huge show, has a gigantic following on YouTube. 120 00:06:45,279 --> 00:06:50,480 Speaker 1: They took this entire episode and cut it off. Why 121 00:06:50,560 --> 00:06:54,520 Speaker 1: doesn't the system want you to see what the expert 122 00:06:54,600 --> 00:06:58,080 Speaker 1: had to say? Shouldn't you be asking yourself that question? 123 00:06:58,200 --> 00:07:00,039 Speaker 1: I'll tell you what. Every one of these clips I 124 00:07:00,120 --> 00:07:03,240 Speaker 1: play you tonight, I want you to be asking yourself 125 00:07:03,240 --> 00:07:05,800 Speaker 1: that question constantly. I want it always in the back 126 00:07:05,839 --> 00:07:09,560 Speaker 1: of your mind. Why don't they want me to see this? 127 00:07:10,320 --> 00:07:14,040 Speaker 1: Why don't they want me to see the expert talk 128 00:07:14,120 --> 00:07:21,920 Speaker 1: about mass formation psychosis from basically European intellectual inquiry into 129 00:07:22,040 --> 00:07:25,280 Speaker 1: what the heck happened in Germany in the twenties and thirties, 130 00:07:25,440 --> 00:07:28,520 Speaker 1: you know, very intelligent, highly educated population and they went 131 00:07:28,560 --> 00:07:34,840 Speaker 1: barking mad? And how did that happen? The answer is 132 00:07:35,040 --> 00:07:38,760 Speaker 1: mass formation psychosis when you have a society that has 133 00:07:38,800 --> 00:07:42,840 Speaker 1: become decoupled from each other and has free floating anxiety 134 00:07:43,240 --> 00:07:46,520 Speaker 1: in a sense that things don't make sense, we can't 135 00:07:46,600 --> 00:07:50,120 Speaker 1: understand it, and then their attention gets focused by a 136 00:07:50,200 --> 00:07:53,000 Speaker 1: leader or a series of events on one small point. 137 00:07:53,160 --> 00:07:58,000 Speaker 1: Just like hypnosis, they literally become hypnotized and can be 138 00:07:58,120 --> 00:08:02,080 Speaker 1: led anywhere. And of the aspects of that phenomena is 139 00:08:02,120 --> 00:08:04,840 Speaker 1: the people that they identify as their leaders, the ones 140 00:08:04,920 --> 00:08:08,080 Speaker 1: typically that come in and say, you have this pain, 141 00:08:08,160 --> 00:08:11,120 Speaker 1: and I can solve it for you. I and I alone, okay, 142 00:08:11,280 --> 00:08:14,160 Speaker 1: can fix this problem for you. Okay. Then they will lead. 143 00:08:14,240 --> 00:08:16,920 Speaker 1: They will follow that person through how It doesn't matter 144 00:08:16,960 --> 00:08:20,600 Speaker 1: whether they lie to them or whatever. The data are irrelevant. 145 00:08:21,040 --> 00:08:25,360 Speaker 1: And furthermore, anybody who questions that narrative is to be 146 00:08:25,400 --> 00:08:29,400 Speaker 1: immediately attacked. They are the other. This is central to 147 00:08:29,640 --> 00:08:33,760 Speaker 1: mass formation psychosis. And this is what has happened. We 148 00:08:33,840 --> 00:08:38,120 Speaker 1: had all those conditions. If you remember back before twenty nineteen, 149 00:08:38,360 --> 00:08:41,920 Speaker 1: everybody was complaining the world doesn't make sense, blah blah blah, 150 00:08:42,600 --> 00:08:45,200 Speaker 1: and we're all isolated from each other, We're all on 151 00:08:45,200 --> 00:08:49,240 Speaker 1: our little tools, we're not connected socially anymore except through 152 00:08:49,280 --> 00:08:53,439 Speaker 1: social media. And then this thing happened and everybody focused 153 00:08:53,480 --> 00:08:57,400 Speaker 1: on it. That is how mass formation psychosis happens, and 154 00:08:57,520 --> 00:09:03,480 Speaker 1: that is what's happened here. That sound familiar at all? 155 00:09:04,760 --> 00:09:07,080 Speaker 1: You know anyone like that? I know you do. And 156 00:09:07,200 --> 00:09:08,920 Speaker 1: see that's a sad part about it, but you know 157 00:09:08,920 --> 00:09:10,960 Speaker 1: it would be just just a brief pause on all 158 00:09:11,000 --> 00:09:14,200 Speaker 1: this before we go on. That's what's really hit home 159 00:09:14,360 --> 00:09:17,560 Speaker 1: for me as I talk to people, read my email, 160 00:09:17,559 --> 00:09:21,320 Speaker 1: it's just interacting with people daily life as how this is. 161 00:09:21,320 --> 00:09:24,480 Speaker 1: He seems to have hit everyone's home in some way. 162 00:09:24,960 --> 00:09:26,760 Speaker 1: When I ask if you know anyone like this who 163 00:09:26,840 --> 00:09:29,840 Speaker 1: just bought all in and they just followed blindly, I shouldn't. 164 00:09:30,520 --> 00:09:33,640 Speaker 1: I shouldn't even ask. I know you do. It might 165 00:09:33,679 --> 00:09:37,920 Speaker 1: be your spouse, might be your mom, kid, grandkid, might 166 00:09:37,960 --> 00:09:42,360 Speaker 1: be a sister, brother, neighbor, cousin. It seems to have 167 00:09:42,520 --> 00:09:47,760 Speaker 1: happened to so many people that now everyone knows someone 168 00:09:47,880 --> 00:09:52,160 Speaker 1: like that. Everyone knows someone who bought all in. And 169 00:09:52,240 --> 00:09:54,840 Speaker 1: it doesn't matter how many lies are exposed and these 170 00:09:54,880 --> 00:09:57,319 Speaker 1: lies are exposed and those lives are exposed, it doesn't 171 00:09:57,360 --> 00:09:59,720 Speaker 1: matter at all. It doesn't matter. You can, you can 172 00:09:59,720 --> 00:10:02,360 Speaker 1: put information right in their face. Look here, look at it. 173 00:10:02,400 --> 00:10:05,800 Speaker 1: I'm telling you, here's the truth. It doesn't shake them now. 174 00:10:06,240 --> 00:10:10,319 Speaker 1: They can't be shaken. Now. It's a sad state of affairs. 175 00:10:11,120 --> 00:10:14,920 Speaker 1: And it really truly is amazing. People forget about this. 176 00:10:15,920 --> 00:10:20,080 Speaker 1: People forget about pharmaceutical companies, They forget about their history. 177 00:10:20,120 --> 00:10:24,040 Speaker 1: And I'm not one of these anti drug guys. That 178 00:10:24,200 --> 00:10:26,960 Speaker 1: sounded bad. I'm not one of these anti medicine guys. Medicines, 179 00:10:27,040 --> 00:10:31,199 Speaker 1: wonderful medicines have saved millions of lives throughout history, millions 180 00:10:31,200 --> 00:10:34,360 Speaker 1: of lives throughout history. So I'm not anti medicine. But 181 00:10:34,400 --> 00:10:40,440 Speaker 1: my goodness, these pharmaceutical companies have gone absolutely crazy, absolutely crazy. 182 00:10:40,440 --> 00:10:43,240 Speaker 1: Remember there was that video came out Project Veritas where 183 00:10:43,280 --> 00:10:45,000 Speaker 1: they sat down with I believe it was a viser 184 00:10:45,080 --> 00:10:48,200 Speaker 1: guy and said, hey, we're a COVID vaccine company. Now 185 00:10:48,280 --> 00:10:50,520 Speaker 1: is where all the money is. Look at the stock 186 00:10:50,559 --> 00:10:53,600 Speaker 1: of these companies. Look what has happened. The doctor had 187 00:10:53,640 --> 00:10:56,960 Speaker 1: something to say about that too. If you buy into 188 00:10:56,960 --> 00:11:02,000 Speaker 1: the hypothesis that, for summary, there are incentives for the 189 00:11:02,040 --> 00:11:07,760 Speaker 1: government to maintain the state of emergency, that is one 190 00:11:07,840 --> 00:11:12,320 Speaker 1: explanation given that those declarations are expiring and will have 191 00:11:12,440 --> 00:11:16,640 Speaker 1: to be reimplemented, because if they're not, then all of 192 00:11:16,640 --> 00:11:21,480 Speaker 1: this emergency use authorization vanishes like dusk. So are you saying, 193 00:11:22,160 --> 00:11:24,719 Speaker 1: are you implying that perhaps one of the reasons why 194 00:11:24,720 --> 00:11:28,559 Speaker 1: they're removing monocle or antibodies is to enhance the amount 195 00:11:28,559 --> 00:11:30,400 Speaker 1: of people that are sick. I'm saying it is in 196 00:11:30,440 --> 00:11:33,000 Speaker 1: the spectrum of the range of possible, just the same 197 00:11:33,040 --> 00:11:37,920 Speaker 1: as the withholding of early treatments is inexplicable. And this 198 00:11:38,000 --> 00:11:40,160 Speaker 1: is inexplicable in that we know that they're very effective. 199 00:11:40,559 --> 00:11:45,959 Speaker 1: A fiser is one of the most criminal pharmaceutical organizations 200 00:11:45,960 --> 00:11:50,560 Speaker 1: in the world based on their past legal history. What 201 00:11:50,640 --> 00:11:55,600 Speaker 1: are those finds include bribing physicians? Okay, it is a 202 00:11:55,640 --> 00:12:01,320 Speaker 1: cost benefit analysis in the pharmaceutical industry about misbehavior. They 203 00:12:01,360 --> 00:12:04,920 Speaker 1: are not grounded in the ethical principles that you and I, 204 00:12:05,440 --> 00:12:08,840 Speaker 1: as average people believe in. They don't live in that world. 205 00:12:09,000 --> 00:12:13,920 Speaker 1: As you appropriately point out, they are about profit, return 206 00:12:13,960 --> 00:12:21,560 Speaker 1: on investment. And furthermore, the overlords that own them Black Rock, Vanguard, 207 00:12:21,679 --> 00:12:26,280 Speaker 1: State Street, etc. These large, massive funds that are completely 208 00:12:26,320 --> 00:12:29,800 Speaker 1: decoupled from nation states have no moral core. They have 209 00:12:29,840 --> 00:12:36,800 Speaker 1: no moral purpose. Their only purposes return on investment. Creepy, 210 00:12:37,200 --> 00:12:41,000 Speaker 1: No suddenly get creeped out yet, Well, let me creep 211 00:12:41,000 --> 00:12:42,800 Speaker 1: you out some more, because I think a lot of 212 00:12:42,800 --> 00:12:46,240 Speaker 1: people have forgotten about this. You probably haven't been a 213 00:12:46,280 --> 00:12:50,560 Speaker 1: lot of people have. And it's important that you were mine, friends, family, neighbors. 214 00:12:50,559 --> 00:12:53,840 Speaker 1: Whenever you can do it in an appropriate way, do 215 00:12:53,920 --> 00:12:57,160 Speaker 1: you remember, right after coronavirus hid in the fifteen days, 216 00:12:57,160 --> 00:13:00,040 Speaker 1: is so the spread and all that other stuff. Do 217 00:13:00,040 --> 00:13:04,040 Speaker 1: you remember they were doctors, nurses, and scientists who started 218 00:13:04,040 --> 00:13:06,160 Speaker 1: to come out right on, right out of the gates, 219 00:13:06,280 --> 00:13:08,960 Speaker 1: very very early. It wasn't like it took months. Very early. 220 00:13:09,000 --> 00:13:11,480 Speaker 1: They started to come out and they were bringing up 221 00:13:12,040 --> 00:13:16,199 Speaker 1: alternate forms of treatment, ways to treat coronavirus. And I'm 222 00:13:16,240 --> 00:13:17,959 Speaker 1: not endorsing any of these because I'm not a doctor 223 00:13:18,040 --> 00:13:19,920 Speaker 1: or scientists. I couldn't tell you anything about them, but 224 00:13:19,960 --> 00:13:22,760 Speaker 1: I remember hydroxy chloroque. It was one of the big ones. 225 00:13:23,120 --> 00:13:27,160 Speaker 1: I've remected another one of the big ones. Early on, 226 00:13:27,600 --> 00:13:31,040 Speaker 1: we had seasoned medical professionals who said, hey, hey, hey, 227 00:13:31,840 --> 00:13:35,560 Speaker 1: hold on, I've treated patients again, not secondhand stuff. I've 228 00:13:35,600 --> 00:13:39,240 Speaker 1: treated patients with and it got better. They got better. 229 00:13:39,480 --> 00:13:42,840 Speaker 1: I've treated patients with this and they got better. And 230 00:13:42,880 --> 00:13:44,760 Speaker 1: I remember this, and this is why I remember it. 231 00:13:45,480 --> 00:13:51,840 Speaker 1: I remember how quickly the system viciously attacked these people, 232 00:13:52,360 --> 00:13:56,680 Speaker 1: immediately deleting videos off of YouTube, censoring Twitter accounts. We 233 00:13:56,720 --> 00:14:01,000 Speaker 1: had governors outright saying, do not prescribe this, don't prescribe that, 234 00:14:02,000 --> 00:14:06,920 Speaker 1: and let's let's pause for a moment and think about 235 00:14:06,920 --> 00:14:10,800 Speaker 1: what that means. Let's just let's really take in what 236 00:14:10,920 --> 00:14:14,839 Speaker 1: that means. People were dying. Coronavirus is real. We can 237 00:14:14,920 --> 00:14:17,240 Speaker 1: argue all day long, how real, how many people have 238 00:14:17,360 --> 00:14:19,160 Speaker 1: died from it, so on and so forth. That's fine, 239 00:14:19,160 --> 00:14:20,760 Speaker 1: we can have these arguments all day long. Those are 240 00:14:20,800 --> 00:14:24,600 Speaker 1: legitimate argus. But coronavirus is real, deadly, certainly deadly to 241 00:14:24,640 --> 00:14:30,320 Speaker 1: old people, definitely to fat people. It's deadly. And the 242 00:14:30,480 --> 00:14:38,480 Speaker 1: system watched people die with potential treatments available. And instead 243 00:14:38,520 --> 00:14:41,360 Speaker 1: of saying, Okay, well, let's figure out this doctor's saying 244 00:14:41,360 --> 00:14:43,760 Speaker 1: he's treating people with it. Let's dig in and let's 245 00:14:43,800 --> 00:14:45,800 Speaker 1: find out. I mean, if that's a potential treatment, let's 246 00:14:45,800 --> 00:14:49,040 Speaker 1: do it. Instead, it was no, shut him up, silence him, 247 00:14:49,200 --> 00:14:52,720 Speaker 1: no treatments, silence him. Do you want to stand what 248 00:14:52,760 --> 00:14:55,960 Speaker 1: that means? Listen to what doctor Malone here says, and 249 00:14:56,000 --> 00:14:58,920 Speaker 1: then let's talk about what that means. The Visor is 250 00:14:59,600 --> 00:15:03,440 Speaker 1: one of the the most criminal pharmaceutical organizations in the 251 00:15:03,480 --> 00:15:07,880 Speaker 1: world based on their past legal history and finds. What 252 00:15:07,960 --> 00:15:12,920 Speaker 1: do those finds include bribing physicians? Okay, it is a 253 00:15:12,960 --> 00:15:18,640 Speaker 1: cost benefit analysis in the pharmaceutical industry about misbehavior. They 254 00:15:18,640 --> 00:15:22,240 Speaker 1: are not grounded in the ethical principles that you and I, 255 00:15:22,760 --> 00:15:26,240 Speaker 1: as average people, believe in. They don't live in that world. 256 00:15:26,320 --> 00:15:31,240 Speaker 1: As you appropriately point out, they are about profit, return 257 00:15:31,280 --> 00:15:38,880 Speaker 1: on investment. And furthermore, the overlords that own them Black Rock, Vanguard, 258 00:15:39,000 --> 00:15:43,600 Speaker 1: State Street, etc. These large, massive funds that are completely 259 00:15:43,640 --> 00:15:47,120 Speaker 1: decoupled from nation states have no moral core. They have 260 00:15:47,160 --> 00:15:52,480 Speaker 1: no moral purpose. Their only purposes return on investment. Are 261 00:15:52,520 --> 00:15:54,600 Speaker 1: you ready? We're going to move on in a second. 262 00:15:54,640 --> 00:15:58,640 Speaker 1: Are you ready to unpack what that means? I mean, 263 00:15:59,320 --> 00:16:03,240 Speaker 1: let's just say, Hey, your mom's laying there dying. Somebody 264 00:16:03,240 --> 00:16:05,600 Speaker 1: watching this, probably many people watch this have lost someone. 265 00:16:05,640 --> 00:16:08,000 Speaker 1: But so sorry if this gets too personal. Let's say 266 00:16:08,040 --> 00:16:12,040 Speaker 1: your mom is laying there has coronavirus. Maybe she's an 267 00:16:12,040 --> 00:16:15,680 Speaker 1: older lady, pre existing conditions, and she's drowning in her 268 00:16:15,760 --> 00:16:20,680 Speaker 1: lung fluid. And a doctor comes and says, I have 269 00:16:20,760 --> 00:16:24,440 Speaker 1: this potential treatment. I drops the chloric and I remeacted whatever. 270 00:16:24,480 --> 00:16:26,360 Speaker 1: But again, I'm not an expert on the treatments. But 271 00:16:26,440 --> 00:16:28,680 Speaker 1: I have this potential treatment. I've treated other people with it. 272 00:16:28,680 --> 00:16:30,920 Speaker 1: It works. I would like to give it to her. 273 00:16:31,560 --> 00:16:33,920 Speaker 1: And what if me the system what if I say, 274 00:16:33,920 --> 00:16:35,920 Speaker 1: oh no, no, no, no, no no, no, doctor, I'll take 275 00:16:35,960 --> 00:16:39,800 Speaker 1: that from you. You won't give that to her. What 276 00:16:39,880 --> 00:16:43,440 Speaker 1: does that make me? I would say that makes me evil? 277 00:16:44,400 --> 00:16:48,120 Speaker 1: And I remember when they did it. And we have many, many, 278 00:16:48,160 --> 00:16:50,720 Speaker 1: many thousands of Americans who did drown in their own 279 00:16:50,760 --> 00:16:54,920 Speaker 1: lung fluid, who potentially didn't have to. We are ruled 280 00:16:54,920 --> 00:16:58,080 Speaker 1: by evil people. And now we hear about Omicron all 281 00:16:58,080 --> 00:17:01,440 Speaker 1: the time. Omicron. I had something to say about that too. 282 00:17:02,000 --> 00:17:04,879 Speaker 1: Then there is with the multiple jabs that are mismatched 283 00:17:04,880 --> 00:17:08,639 Speaker 1: for the current circulating virus. That's akin to repeatedly taking 284 00:17:08,880 --> 00:17:11,200 Speaker 1: a flu vaccine from two seasons ago and hoping it's 285 00:17:11,200 --> 00:17:12,760 Speaker 1: going to protect against this flue. Well, that's one of 286 00:17:12,800 --> 00:17:14,919 Speaker 1: the most confusing things about this push for people to 287 00:17:14,920 --> 00:17:18,479 Speaker 1: get boosted now with Omicron, because they keep saying, with 288 00:17:18,520 --> 00:17:21,879 Speaker 1: omicron we need to get But that's a vaccine escape variant, 289 00:17:21,920 --> 00:17:31,000 Speaker 1: isn't it. Yeah, vaccine escape variant. Remember that when you 290 00:17:31,040 --> 00:17:33,399 Speaker 1: see all this push now and look, I could go 291 00:17:33,480 --> 00:17:37,440 Speaker 1: into all this more censorship, how Fiser is tied to Twitter. 292 00:17:37,480 --> 00:17:38,800 Speaker 1: I could go into all of it. We could talk 293 00:17:38,800 --> 00:17:41,439 Speaker 1: about Marjorie Taylor Green Congress when Marjorie Taylor Green just 294 00:17:41,480 --> 00:17:45,399 Speaker 1: got banned from Twitter for talking about COVID information. But 295 00:17:45,480 --> 00:17:47,600 Speaker 1: let's just all acknowledge where we're at here. I want 296 00:17:47,880 --> 00:17:49,720 Speaker 1: to end it really with what we just talked about. 297 00:17:49,760 --> 00:17:56,160 Speaker 1: There the system, doctors, scientists, big tech, the government. There 298 00:17:56,200 --> 00:18:00,600 Speaker 1: were potential early treatments available while people were dying, and 299 00:18:00,680 --> 00:18:03,119 Speaker 1: so they could defeat Donald Trump in an election. They 300 00:18:03,200 --> 00:18:07,720 Speaker 1: denied people those treatments. Have you considered how evil the 301 00:18:07,800 --> 00:18:11,600 Speaker 1: people are who rule over you all that may have 302 00:18:11,640 --> 00:18:15,640 Speaker 1: made you uncomfortable, but I'm right. Doctor Malone had something 303 00:18:15,680 --> 00:18:19,480 Speaker 1: else to say about social credit scores. You're gonna want 304 00:18:19,480 --> 00:18:21,600 Speaker 1: to hang on for this. We have Dave Bratt on next, 305 00:18:21,640 --> 00:18:23,360 Speaker 1: and we're gonna play you that and talk to Dave 306 00:18:23,359 --> 00:18:25,840 Speaker 1: Bratt about it. But first it's enough ugliness. Let's talk 307 00:18:25,880 --> 00:18:31,880 Speaker 1: about something good. You know what I'm not doing right now, sniffling, coughing, 308 00:18:32,080 --> 00:18:35,320 Speaker 1: doing all these things, chi watery eyes? Do my eyes 309 00:18:35,320 --> 00:18:39,399 Speaker 1: look read to you? Finally, I have some allergy relief. 310 00:18:39,480 --> 00:18:42,040 Speaker 1: Maybe you don't suffer from allergies I do. I do, 311 00:18:42,359 --> 00:18:45,000 Speaker 1: and so I've always had various air purifiers in the house. 312 00:18:45,840 --> 00:18:47,920 Speaker 1: None of them have ever come close to my eden 313 00:18:47,960 --> 00:18:52,800 Speaker 1: pure Thunderstorm. I got one first early on my son's 314 00:18:52,800 --> 00:18:55,280 Speaker 1: promptly stole it because it smells so good in my room. 315 00:18:55,320 --> 00:18:57,440 Speaker 1: The Eden Pure pulls the smells out of the air, 316 00:18:57,520 --> 00:19:01,080 Speaker 1: cats pants, whatever you got, pulls it out air. My 317 00:19:01,200 --> 00:19:03,280 Speaker 1: son stole it. I loved it so much, I promptly 318 00:19:03,320 --> 00:19:05,280 Speaker 1: bought two more. Own three of them now, keep them 319 00:19:05,320 --> 00:19:08,600 Speaker 1: all over the house. My house smells wonderful, and I 320 00:19:08,680 --> 00:19:12,040 Speaker 1: don't have allergies anymore. Even that over the counter allergy medication, 321 00:19:12,680 --> 00:19:14,360 Speaker 1: I threw it away. I don't even own any now. 322 00:19:14,680 --> 00:19:18,160 Speaker 1: Thanks to Eden Pure Thunderstorm and right now you can 323 00:19:18,200 --> 00:19:20,719 Speaker 1: get three of them. They have a deal for my viewers. 324 00:19:20,760 --> 00:19:22,520 Speaker 1: You can have three of them right now, just like 325 00:19:22,560 --> 00:19:24,000 Speaker 1: I do. I one of my son's room, one of 326 00:19:24,040 --> 00:19:26,000 Speaker 1: my bedroom, one in the living room. If you go 327 00:19:26,080 --> 00:19:29,680 Speaker 1: to Eden Pure deals dot com and use the promo 328 00:19:29,760 --> 00:19:34,960 Speaker 1: code Jesse, you saved two hundred dollars on the three 329 00:19:34,960 --> 00:19:38,760 Speaker 1: pack of Eden Pure Thunderstorms. Eden Pure deals dot Com 330 00:19:38,800 --> 00:19:49,280 Speaker 1: promo code Jesse, We'll be back. Do you remember back 331 00:19:49,320 --> 00:19:52,280 Speaker 1: a couple of years ago when you felt sorry for 332 00:19:52,320 --> 00:19:56,800 Speaker 1: the people and the People's Republic of China because their 333 00:19:56,840 --> 00:20:00,800 Speaker 1: Internet was filtered. They weren't allowed free spe each their 334 00:20:00,840 --> 00:20:05,240 Speaker 1: government told him what to do and think. Okay, now 335 00:20:05,520 --> 00:20:09,040 Speaker 1: here we are, okay. And the next thing that we 336 00:20:09,080 --> 00:20:15,320 Speaker 1: all feel sorry about social credit system. Okay, wake up, folks, 337 00:20:16,320 --> 00:20:22,359 Speaker 1: wake up. It's coming joining me now to talk about 338 00:20:22,359 --> 00:20:25,720 Speaker 1: that and other things. Our favorite the dean of business 339 00:20:25,800 --> 00:20:29,920 Speaker 1: at Liberty University, and of course former Congressman Dave Bratt, 340 00:20:29,960 --> 00:20:34,239 Speaker 1: Congressman social credit system. If I'd said something like that 341 00:20:34,359 --> 00:20:37,320 Speaker 1: to probably even you, like three years ago, you'd have said, Jess, 342 00:20:37,320 --> 00:20:41,119 Speaker 1: it's stop being a wing nut. Now doesn't look that 343 00:20:41,160 --> 00:20:43,920 Speaker 1: far out of bounds, does it, sir? Now? It does 344 00:20:44,040 --> 00:20:47,520 Speaker 1: not in this country. I taught ethics for twenty years, 345 00:20:47,920 --> 00:20:51,440 Speaker 1: went to seminary thirty five years ago, and this whole 346 00:20:51,480 --> 00:20:56,879 Speaker 1: idea of moral relativism has just crept into our system intentionally, 347 00:20:57,000 --> 00:21:02,080 Speaker 1: starting in the Ivy League schools. And as you go 348 00:21:02,240 --> 00:21:07,280 Speaker 1: down that road, you are taught that all cultures are equal. Right. 349 00:21:07,320 --> 00:21:09,760 Speaker 1: So the Chinese who repressed, you know, a million to 350 00:21:09,760 --> 00:21:15,520 Speaker 1: two million in concentration camps, re education camps. To wagers 351 00:21:16,280 --> 00:21:19,359 Speaker 1: who create a social social credit system. It's a giant 352 00:21:19,400 --> 00:21:23,320 Speaker 1: police states straight out of nineteen eighty four, or well 353 00:21:23,480 --> 00:21:29,119 Speaker 1: for real and our American CEOs and our tech oligarchs 354 00:21:29,200 --> 00:21:32,200 Speaker 1: are the ones who help them build and construct that system, 355 00:21:32,760 --> 00:21:35,719 Speaker 1: and not a word on that, which is just fascinating. Right. 356 00:21:35,720 --> 00:21:38,159 Speaker 1: These are all leftists, by the way, who care about people, 357 00:21:39,280 --> 00:21:42,200 Speaker 1: and you know, so I just want to repeat that, right, 358 00:21:42,760 --> 00:21:47,280 Speaker 1: all of the tech oligarchs who are are constructing that 359 00:21:47,400 --> 00:21:51,480 Speaker 1: Chinese system are from the US on the left here, 360 00:21:51,920 --> 00:21:56,120 Speaker 1: and they're all continuing messaging about their moral superiority, right 361 00:21:56,720 --> 00:22:00,280 Speaker 1: and so, and the left somehow wins the moral aregent 362 00:22:00,359 --> 00:22:04,240 Speaker 1: with our young kids that they care and conservatives don't. 363 00:22:04,840 --> 00:22:08,639 Speaker 1: And so yeah, it's time for the US to wake up. 364 00:22:08,680 --> 00:22:12,560 Speaker 1: Our messaging has to just get way better. Right now, 365 00:22:12,560 --> 00:22:16,920 Speaker 1: I'm going to teach a economic course coming up this term, 366 00:22:17,520 --> 00:22:21,600 Speaker 1: and on the economic side, right, there's plenty of the CEOs, etc. 367 00:22:22,480 --> 00:22:26,480 Speaker 1: Don't think America is exceptional, and some on the left 368 00:22:26,960 --> 00:22:30,960 Speaker 1: want to take the US down. And in economics, we're 369 00:22:31,000 --> 00:22:34,480 Speaker 1: taught when you analyze, you know, business decisions, first of all, 370 00:22:34,520 --> 00:22:37,160 Speaker 1: you try to diversify. In most cases that's finance one 371 00:22:37,200 --> 00:22:40,280 Speaker 1: oh one, and then in economics that's supplying demand curves. 372 00:22:40,280 --> 00:22:44,880 Speaker 1: Assume you have all information built in, right, all in all, 373 00:22:45,040 --> 00:22:49,720 Speaker 1: pertinent costs which are not just financial, and so one 374 00:22:49,760 --> 00:22:52,720 Speaker 1: of those costs might be the idea that as you 375 00:22:52,840 --> 00:22:57,359 Speaker 1: build up an enemy who is now approaching a twenty 376 00:22:57,400 --> 00:23:03,040 Speaker 1: trillion dollar economy, who also has declared war against you, 377 00:23:04,080 --> 00:23:06,560 Speaker 1: who is getting ready, who has already taken over Hong Kong, 378 00:23:06,680 --> 00:23:10,920 Speaker 1: is getting ready to attack Taiwan, perhaps you don't want 379 00:23:10,920 --> 00:23:13,600 Speaker 1: to put all of your eggs, right, all of your 380 00:23:13,600 --> 00:23:18,159 Speaker 1: supply chains, all your pharmaceuticals, all your medical equipment and 381 00:23:18,320 --> 00:23:22,280 Speaker 1: drugs over in China for efficiency reasons. Right, So, our 382 00:23:22,600 --> 00:23:25,439 Speaker 1: great minds at Harvard, right the Harvard MBAs and all 383 00:23:25,480 --> 00:23:31,840 Speaker 1: the geniuses, have violated every simple maximum of business, finance, 384 00:23:31,880 --> 00:23:37,080 Speaker 1: of economics. We've overloaded it all. China maybe cracking right 385 00:23:37,119 --> 00:23:40,080 Speaker 1: now as we speak their economy. There are signs of 386 00:23:40,080 --> 00:23:42,960 Speaker 1: the real estate market, the credit system, and even the 387 00:23:43,040 --> 00:23:48,080 Speaker 1: inputs right like copper to the real estate sector are 388 00:23:48,160 --> 00:23:51,920 Speaker 1: going down in price, not up in price. And so 389 00:23:52,800 --> 00:23:56,240 Speaker 1: it's going to be interesting times as our folks pull 390 00:23:56,280 --> 00:23:59,560 Speaker 1: their supply chains out out of self interest just for 391 00:23:59,640 --> 00:24:04,600 Speaker 1: survive val reasons. Globalism is going to come to an end. 392 00:24:04,800 --> 00:24:07,040 Speaker 1: But then then we're left with a question whether we 393 00:24:07,119 --> 00:24:11,160 Speaker 1: get a violent reaction from China as they're on their 394 00:24:11,200 --> 00:24:17,600 Speaker 1: way down, they may need the tail to wag the dog. Grief, 395 00:24:17,600 --> 00:24:20,399 Speaker 1: that's it's creepy and you're not wrong. What's what's that 396 00:24:20,440 --> 00:24:22,880 Speaker 1: old say? I think we've talked about it before. If 397 00:24:22,920 --> 00:24:26,359 Speaker 1: goods stop crossing borders, armies will. But we'll pause on 398 00:24:26,400 --> 00:24:29,040 Speaker 1: that for just a moment. Could you break this down 399 00:24:29,040 --> 00:24:32,960 Speaker 1: because I realize I probably need a brief explainer from 400 00:24:33,000 --> 00:24:36,119 Speaker 1: the deemed for me, what is a social credit system? 401 00:24:36,119 --> 00:24:39,160 Speaker 1: What are you talking about? Well, it's just like when 402 00:24:39,200 --> 00:24:42,520 Speaker 1: you go out to buy a car, right they can 403 00:24:42,600 --> 00:24:46,440 Speaker 1: run a credit score on you based on your financial 404 00:24:46,600 --> 00:24:50,040 Speaker 1: data because they have limited data on us, and you 405 00:24:50,119 --> 00:24:54,160 Speaker 1: provide some of that data voluntarily. In China, the five 406 00:24:54,359 --> 00:24:58,760 Speaker 1: G platforms right now, they have five G. You know 407 00:24:58,840 --> 00:25:01,840 Speaker 1: you put homes security cameras in your home. They have 408 00:25:01,920 --> 00:25:04,639 Speaker 1: them on every street corner. And the whole five G 409 00:25:04,840 --> 00:25:06,719 Speaker 1: premises you just walk into a story. You don't even 410 00:25:06,760 --> 00:25:10,320 Speaker 1: need a credit card anymore. Just recognizes your face, charges 411 00:25:10,359 --> 00:25:13,919 Speaker 1: your credit card and you're all clear. So the Chinese, 412 00:25:14,320 --> 00:25:18,120 Speaker 1: in addition to all these financial instruments, are creating your 413 00:25:18,160 --> 00:25:21,159 Speaker 1: behavior score, right, whether you've been good or bad. This 414 00:25:21,280 --> 00:25:25,760 Speaker 1: year and Santa Claus. Stuff in China is going to 415 00:25:25,800 --> 00:25:29,720 Speaker 1: give you either positive incentives or negative incentives. And so, 416 00:25:30,359 --> 00:25:32,560 Speaker 1: for example, if you're a construction worker in China, you 417 00:25:32,600 --> 00:25:34,680 Speaker 1: don't wear your hat one day that the machines can 418 00:25:34,680 --> 00:25:38,160 Speaker 1: tell that, and they take away social credit points. If 419 00:25:38,200 --> 00:25:42,520 Speaker 1: you get really bad and message on social media about China, 420 00:25:42,920 --> 00:25:45,200 Speaker 1: you're unable to get a loan for your house anymore, 421 00:25:45,280 --> 00:25:48,119 Speaker 1: for your car, your kid can't go to get higher 422 00:25:48,200 --> 00:25:52,320 Speaker 1: education anymore. And they really put the screws to you. 423 00:25:53,000 --> 00:25:56,080 Speaker 1: And so that's the big state. There's no mystery, right 424 00:25:56,160 --> 00:26:01,240 Speaker 1: the CCP and I get a kick. I brought moral philosophy. 425 00:26:01,880 --> 00:26:03,960 Speaker 1: We need it. We need to get our kids back 426 00:26:04,000 --> 00:26:07,400 Speaker 1: in ethics because none of this is Chinese, by the way, right, 427 00:26:07,680 --> 00:26:13,600 Speaker 1: we call this Chinese. The Chinese had confusion ethics, Buddhist ethics, etc. Etc. 428 00:26:14,320 --> 00:26:17,919 Speaker 1: Right worthy systems that have been around and deserved discussion 429 00:26:18,400 --> 00:26:23,239 Speaker 1: and debate. What we're talking about here is Karl Marxian ethics. Right. 430 00:26:23,320 --> 00:26:25,600 Speaker 1: Karl Marx said, there's no God, there's no human rights, 431 00:26:25,640 --> 00:26:28,439 Speaker 1: there's no ethics, there's no higher principles. We're just a 432 00:26:28,440 --> 00:26:33,080 Speaker 1: bunch of materialist globules and that's seriously the depth of 433 00:26:33,160 --> 00:26:37,240 Speaker 1: his ethical and moral analysis. And that is the group, 434 00:26:37,320 --> 00:26:42,080 Speaker 1: the CCP, that is running the Chinese people and has 435 00:26:42,119 --> 00:26:47,160 Speaker 1: formed this totalitarian surveillance state that is just torturing one 436 00:26:47,200 --> 00:26:49,800 Speaker 1: point four billion people who are made in the image 437 00:26:49,840 --> 00:26:54,040 Speaker 1: of God. And for the US and our lefty brothers 438 00:26:54,040 --> 00:26:57,840 Speaker 1: and sisters who used to be liberals who I admired, 439 00:26:58,200 --> 00:27:01,160 Speaker 1: they're lost. Now they're just lost. They have no ethical 440 00:27:01,200 --> 00:27:07,919 Speaker 1: system they can name, and it shows, and it does show. Congressman, 441 00:27:07,960 --> 00:27:09,680 Speaker 1: thank you so much for making a smarter giving it 442 00:27:09,760 --> 00:27:18,200 Speaker 1: some time that I appreciate. Thank you, all right. January sixth, 443 00:27:18,320 --> 00:27:22,120 Speaker 1: the insurrection. Wow, you're about to hear a lot about 444 00:27:22,160 --> 00:27:24,400 Speaker 1: that this week. We're gonna prep you for that here 445 00:27:24,440 --> 00:27:28,760 Speaker 1: in just a second. But what about that holster you wear, 446 00:27:29,600 --> 00:27:34,520 Speaker 1: but sling on your weapon? What about improving your game? 447 00:27:35,680 --> 00:27:39,200 Speaker 1: I use Northwest Retention Systems for all my gear. And yes, 448 00:27:39,280 --> 00:27:41,880 Speaker 1: I understand I'm not much of a design guy. It's 449 00:27:41,920 --> 00:27:43,480 Speaker 1: just not my thing. I don't care about the color 450 00:27:43,520 --> 00:27:45,480 Speaker 1: of the walls or the drapes. Right. That doesn't do 451 00:27:45,520 --> 00:27:48,359 Speaker 1: anything for me. Yeah, I know. Everyone everyone writes me 452 00:27:48,400 --> 00:27:50,480 Speaker 1: and says, oh, they're the best designs. Ever. And yes, 453 00:27:50,520 --> 00:27:53,280 Speaker 1: their designs are cool. I like that, but I wouldn't 454 00:27:53,320 --> 00:27:56,159 Speaker 1: care about that if the quality stunk. Their quality is 455 00:27:56,160 --> 00:27:59,960 Speaker 1: like nothing I've ever seen. Everything is custom made, custom made, 456 00:28:00,080 --> 00:28:03,960 Speaker 1: and custom made right here in America by Americans. Best 457 00:28:04,000 --> 00:28:06,879 Speaker 1: gear I've ever owned in my life. Go to NW 458 00:28:06,880 --> 00:28:10,200 Speaker 1: retention dot com use the promo code Jesse, and it 459 00:28:10,280 --> 00:28:14,920 Speaker 1: gets you ten percent off NW retention dot Com. We'll 460 00:28:14,920 --> 00:28:27,160 Speaker 1: be back. Buckle up. It's gonna be a long, long week. 461 00:28:27,880 --> 00:28:31,879 Speaker 1: You're gonna hear so much nonsense about January sixth of 462 00:28:32,000 --> 00:28:34,960 Speaker 1: this solemn anniversary this week. It's just gonna it's gonna 463 00:28:34,960 --> 00:28:37,639 Speaker 1: make you want to just pound your head. But allow 464 00:28:37,680 --> 00:28:40,440 Speaker 1: me to explain why you're seeing what you're seeing, all right, 465 00:28:40,480 --> 00:28:42,400 Speaker 1: because it's not news. And I'll go over a couple 466 00:28:42,440 --> 00:28:44,000 Speaker 1: of things are already saying here in a minute. But 467 00:28:44,040 --> 00:28:47,160 Speaker 1: let me explain what you're seeing. I have a lawyer, friend, 468 00:28:47,560 --> 00:28:50,000 Speaker 1: don't judge me, okay, And in my business occasion, you 469 00:28:50,080 --> 00:28:52,080 Speaker 1: need a lawyer, all right, But this one's not my lawyer. 470 00:28:52,120 --> 00:28:54,600 Speaker 1: He's just a friend. And he's told me this for years. 471 00:28:54,600 --> 00:28:57,400 Speaker 1: I've known the guy for years. He says, Look, he's 472 00:28:57,400 --> 00:29:00,080 Speaker 1: a trial lawyer. And he said, Jesse in law, if 473 00:29:00,200 --> 00:29:02,760 Speaker 1: I'm defending somebody, be he defends people. He said, If 474 00:29:02,760 --> 00:29:06,680 Speaker 1: I'm defending somebody and the facts are on my side, 475 00:29:08,200 --> 00:29:11,480 Speaker 1: your guy murdered someone at ten oh five, and my 476 00:29:11,600 --> 00:29:13,960 Speaker 1: guy has video of him sleeping in his bed at 477 00:29:13,960 --> 00:29:16,640 Speaker 1: ten oh five, he said, Look, if the facts are 478 00:29:16,640 --> 00:29:17,960 Speaker 1: on my side, I'm gonna go in front of the 479 00:29:18,000 --> 00:29:19,840 Speaker 1: jury and I'm just gonna pound the facts. What are 480 00:29:19,840 --> 00:29:22,120 Speaker 1: you talking about? I have video evidence ten oh five. 481 00:29:22,160 --> 00:29:24,280 Speaker 1: He wasn't even there, he said, So if I have 482 00:29:24,400 --> 00:29:27,400 Speaker 1: the facts, I'll pound the facts. As a lawyer, and 483 00:29:27,760 --> 00:29:30,080 Speaker 1: sometimes you don't have facts though, sometimes you just have 484 00:29:30,200 --> 00:29:33,560 Speaker 1: the truth. Maybe someone was murdered at ten oh five, 485 00:29:34,160 --> 00:29:35,959 Speaker 1: but maybe this guy really was in bed at ten 486 00:29:36,040 --> 00:29:37,800 Speaker 1: oh five, but you don't want video of it. But 487 00:29:37,800 --> 00:29:39,360 Speaker 1: he was. He was really there, he said, I'll just 488 00:29:39,400 --> 00:29:42,480 Speaker 1: pound that. My guy was sound asleep. He couldn't even 489 00:29:42,600 --> 00:29:45,320 Speaker 1: killed that guy ten oh five. So, if I had 490 00:29:45,320 --> 00:29:48,040 Speaker 1: the facts, I'll pound the facts. If I have the truth, 491 00:29:48,040 --> 00:29:51,480 Speaker 1: I'll pound the truth. And the conversation always eventually gets 492 00:29:51,520 --> 00:29:55,600 Speaker 1: to okay, well what if you don't have any of 493 00:29:55,600 --> 00:29:59,800 Speaker 1: those things? What if maybe he did it? He said, 494 00:30:00,000 --> 00:30:04,880 Speaker 1: than I pound the table. This is an outrage racism, sexism, 495 00:30:04,920 --> 00:30:09,120 Speaker 1: this is crazy. Just get really really loud, make a 496 00:30:09,160 --> 00:30:12,480 Speaker 1: lot of noise. What you're gonna see this week is 497 00:30:12,520 --> 00:30:14,800 Speaker 1: a lot of pounding the table, and you're gonna see 498 00:30:14,800 --> 00:30:16,480 Speaker 1: it for a reason. I want you to understand why 499 00:30:16,520 --> 00:30:20,640 Speaker 1: you're seeing it. Joe Biden is Obviously it's been a 500 00:30:20,640 --> 00:30:23,880 Speaker 1: disaster as a president. And that's not just me. The 501 00:30:23,960 --> 00:30:26,400 Speaker 1: country feels that way. We have approval number after approval 502 00:30:26,480 --> 00:30:30,240 Speaker 1: number after approval number. This presidency is in utter disarray. 503 00:30:30,480 --> 00:30:33,200 Speaker 1: The country is disgusted with it. The only person they're 504 00:30:33,240 --> 00:30:36,880 Speaker 1: more disgusted with than Joe Biden is Kamala Harris. Right now, 505 00:30:36,960 --> 00:30:40,920 Speaker 1: Democrats already have their eyes on November. Midterms are coming. 506 00:30:41,000 --> 00:30:44,720 Speaker 1: November is right around the corner. They're worried about the 507 00:30:44,760 --> 00:30:48,240 Speaker 1: blood bath that might take place during the mid terms. Well, 508 00:30:48,240 --> 00:30:50,320 Speaker 1: if you're Democrats, that sucks, right, If they want to 509 00:30:50,360 --> 00:30:55,880 Speaker 1: hang on to power, what do you have nothing? They're 510 00:30:55,920 --> 00:30:58,120 Speaker 1: not above water on any issue right now with the 511 00:30:58,120 --> 00:31:01,200 Speaker 1: American people. You name an Afghanistan, inflation of a board 512 00:31:01,280 --> 00:31:05,200 Speaker 1: or anything. The American people are unhappy with Democrats universally 513 00:31:05,280 --> 00:31:06,880 Speaker 1: right now in this country. So what are you gonna do. 514 00:31:06,920 --> 00:31:09,360 Speaker 1: I mean, you don't have the facts, you don't have 515 00:31:09,400 --> 00:31:14,600 Speaker 1: the truth, there's no video, you don't have anything. You're 516 00:31:14,640 --> 00:31:17,320 Speaker 1: gonna pound the table. What are you gonna see this week? 517 00:31:17,360 --> 00:31:19,960 Speaker 1: With all this nonsense? New York Times is already running 518 00:31:19,960 --> 00:31:23,280 Speaker 1: a piece out there every day is January sixth. Now 519 00:31:24,320 --> 00:31:27,240 Speaker 1: you're gonna see a lot of pounding of the table 520 00:31:27,360 --> 00:31:31,040 Speaker 1: this week as the Democratic Party attempts to take the 521 00:31:31,200 --> 00:31:33,840 Speaker 1: narrative right now that Joe Biden's a disaster and we 522 00:31:33,880 --> 00:31:36,360 Speaker 1: need to get Republicans back in and everything sucks, and 523 00:31:36,400 --> 00:31:39,280 Speaker 1: everything Democrats are doing sucks. The Democratic Party knows that's 524 00:31:39,280 --> 00:31:42,160 Speaker 1: what the country sees right now. They're gonna try to 525 00:31:42,240 --> 00:31:45,600 Speaker 1: move it, and there's gonna be a ton of it. 526 00:31:45,600 --> 00:31:49,800 Speaker 1: It's already ramping up. It's the third it's not even 527 00:31:49,800 --> 00:31:52,920 Speaker 1: the sixth. Yet you will see an entire week of this. 528 00:31:53,040 --> 00:31:55,720 Speaker 1: In fact, mister producer, I just had an idea. Let's 529 00:31:55,720 --> 00:31:58,600 Speaker 1: give everyone a little update every day now as the 530 00:31:58,720 --> 00:32:02,280 Speaker 1: ramp up continues, the newest articles, the newest news pieces 531 00:32:02,320 --> 00:32:05,120 Speaker 1: out there. This will be not a day long thing. 532 00:32:05,920 --> 00:32:08,400 Speaker 1: This will be a week long thing. They're going to 533 00:32:08,480 --> 00:32:11,040 Speaker 1: do their best to try to get your focus off 534 00:32:11,120 --> 00:32:13,840 Speaker 1: of the price you're paying at the pump, off of 535 00:32:13,840 --> 00:32:16,840 Speaker 1: illegal immigration, off of Afghanistan, off of all of it. 536 00:32:17,040 --> 00:32:19,400 Speaker 1: They're going to try to shift you and focus on 537 00:32:19,520 --> 00:32:22,680 Speaker 1: January sixth. And it's not because they actually care about 538 00:32:22,760 --> 00:32:25,880 Speaker 1: January sixth, or because there was almost a coup and 539 00:32:25,960 --> 00:32:28,760 Speaker 1: the country was almost lost. It's not because of any 540 00:32:28,800 --> 00:32:32,440 Speaker 1: of that. It's simply because they don't have the facts 541 00:32:32,440 --> 00:32:35,280 Speaker 1: and they don't have the truth, so they're pounding the table. 542 00:32:35,840 --> 00:32:38,040 Speaker 1: We'll talk to Scott Hounds of Red State about that 543 00:32:38,360 --> 00:32:53,320 Speaker 1: next January sixth. Oh, what a dark day where some 544 00:32:53,560 --> 00:32:56,800 Speaker 1: lunatic and horns locked into the capital and snapped a 545 00:32:56,800 --> 00:32:59,920 Speaker 1: couple of selfies. And we're supposed to believe, as we commit, 546 00:33:00,240 --> 00:33:04,040 Speaker 1: it's a solemn day this week that the government almost fell. Well, 547 00:33:04,120 --> 00:33:06,880 Speaker 1: Scott Hounso, our friend Scott Hounsel has been outstanding and 548 00:33:06,920 --> 00:33:09,560 Speaker 1: on this for a long long time. Obviously with Red State, 549 00:33:09,960 --> 00:33:13,000 Speaker 1: Scott first and foremost, you know more about this than 550 00:33:13,080 --> 00:33:17,400 Speaker 1: most people. What actually happened on January six is all 551 00:33:17,400 --> 00:33:20,360 Speaker 1: people see or the highlights. People see what the media 552 00:33:20,400 --> 00:33:22,800 Speaker 1: wants them to see. It's never about the full story. 553 00:33:22,840 --> 00:33:24,400 Speaker 1: And that's the thing that I've been trying to get 554 00:33:24,400 --> 00:33:27,200 Speaker 1: through them from the beginning of this. Literally the day 555 00:33:27,320 --> 00:33:31,240 Speaker 1: after January sixth, I was FOIA requesting the video of 556 00:33:31,280 --> 00:33:34,600 Speaker 1: all the Capitol Hill cameras from those days. I was 557 00:33:34,640 --> 00:33:38,320 Speaker 1: denied by Pelosi's office. They've never wanted to tell the 558 00:33:38,400 --> 00:33:41,120 Speaker 1: full story. This has always been about creating a narrative. 559 00:33:41,200 --> 00:33:44,360 Speaker 1: This does not excuse the riotous behavior of those that 560 00:33:44,760 --> 00:33:48,080 Speaker 1: destroyed property or assaulted police officers, earning the rest of that. 561 00:33:48,680 --> 00:33:52,000 Speaker 1: What this is is a quest to determine what really 562 00:33:52,040 --> 00:33:55,880 Speaker 1: happened that day, and the Democrats and you know, the 563 00:33:56,080 --> 00:33:58,560 Speaker 1: media been on the quest to pin this on Trump, 564 00:33:58,600 --> 00:34:01,720 Speaker 1: even though Trump told people to be polite, to be 565 00:34:01,840 --> 00:34:05,040 Speaker 1: non violent. You know, this is a quest to pin 566 00:34:05,080 --> 00:34:08,560 Speaker 1: this on Republicans because going into twenty twenty two, January 567 00:34:08,560 --> 00:34:11,200 Speaker 1: sixth was really unpopular. So this isn't an attempt to 568 00:34:11,239 --> 00:34:13,640 Speaker 1: go back and say, look, how bat the Republicans have been. 569 00:34:13,640 --> 00:34:17,600 Speaker 1: Do you want to put them back in power? Scott? 570 00:34:17,640 --> 00:34:20,000 Speaker 1: Do you think this might be them flailing a little 571 00:34:20,040 --> 00:34:22,279 Speaker 1: bit as well? Because you just mentioned it worked for 572 00:34:22,280 --> 00:34:25,680 Speaker 1: them before people didn't like it. It's not exactly the news. 573 00:34:25,760 --> 00:34:28,160 Speaker 1: Joe Biden's not popular there aren't a lot of wins 574 00:34:28,200 --> 00:34:29,960 Speaker 1: for them to grab a hold of right now, So 575 00:34:30,040 --> 00:34:31,680 Speaker 1: that do you think this might just be them trying 576 00:34:31,719 --> 00:34:35,880 Speaker 1: to shift the public's focus, Because that's what I think obviously. 577 00:34:35,960 --> 00:34:38,200 Speaker 1: I think that that's the exact way. I mean, if anything, 578 00:34:38,200 --> 00:34:40,080 Speaker 1: in Virginia, what we thought, what we saw happing in Virginia, 579 00:34:40,080 --> 00:34:42,840 Speaker 1: what we almost saw hop and in all places New Jersey, 580 00:34:43,560 --> 00:34:47,880 Speaker 1: was that people are tired of the less continuous assault 581 00:34:48,000 --> 00:34:50,759 Speaker 1: on the truth. And when they go out and they 582 00:34:50,800 --> 00:34:54,160 Speaker 1: say stuff like Republicans are all racist, or that they're 583 00:34:54,200 --> 00:34:57,040 Speaker 1: all white supremacists, and even have to go to the 584 00:34:57,120 --> 00:35:00,359 Speaker 1: lengths of faking attacks in order to make it look 585 00:35:00,440 --> 00:35:04,200 Speaker 1: that way, that people start, the voters, particularly start to 586 00:35:04,200 --> 00:35:06,000 Speaker 1: wake up and doing this. If anything, that showed that 587 00:35:06,040 --> 00:35:08,120 Speaker 1: twenty twenty two is going to be a blood bath 588 00:35:08,200 --> 00:35:10,640 Speaker 1: for Democrats. It's going to be a very bad time. 589 00:35:11,040 --> 00:35:12,839 Speaker 1: So they're trying to use January six as a way 590 00:35:12,840 --> 00:35:15,360 Speaker 1: to combat that. I think I think they're trying to say, well, look, 591 00:35:15,680 --> 00:35:17,800 Speaker 1: this is what happened the last time Republicans are in charge. 592 00:35:17,880 --> 00:35:20,080 Speaker 1: Look what's going to happen again if Republicans are you're 593 00:35:20,080 --> 00:35:22,439 Speaker 1: in charge. Even though we don't know the full truth 594 00:35:22,440 --> 00:35:26,320 Speaker 1: because they won't let it out in the first place. Scott, 595 00:35:26,360 --> 00:35:28,240 Speaker 1: what do we believe? What are we supposed to believe 596 00:35:28,280 --> 00:35:31,960 Speaker 1: about FED involvement in January sixth? Obviously I see a 597 00:35:32,000 --> 00:35:34,480 Speaker 1: lot of the same things you see. I don't know. 598 00:35:34,640 --> 00:35:37,560 Speaker 1: I wasn't there. I don't know. It sure looks bad. 599 00:35:37,719 --> 00:35:40,680 Speaker 1: It looks like there were involved in some level, But 600 00:35:40,760 --> 00:35:43,200 Speaker 1: I don't know. What do you believe about it? I 601 00:35:43,280 --> 00:35:46,680 Speaker 1: believe that the lack of transparency on this issue speaks 602 00:35:46,760 --> 00:35:49,520 Speaker 1: volumes to me personally. I mean, if you look at 603 00:35:49,520 --> 00:35:51,520 Speaker 1: it from the point of view of if you're asking 604 00:35:51,600 --> 00:35:53,600 Speaker 1: questions and they're not willing to give you the answers, 605 00:35:54,040 --> 00:35:56,480 Speaker 1: or they're shielding the people that you want questions from 606 00:35:56,840 --> 00:35:59,399 Speaker 1: from providing the answers, as they've done with numerous quote 607 00:35:59,440 --> 00:36:04,240 Speaker 1: unquote BI informants about regarding regarding January sixth, it starts 608 00:36:04,239 --> 00:36:07,160 Speaker 1: to raise a lot of questions as to just how 609 00:36:07,239 --> 00:36:10,879 Speaker 1: much of this is the complete truth or how much 610 00:36:10,880 --> 00:36:13,279 Speaker 1: of it is a narrative. And until they're willing to 611 00:36:13,320 --> 00:36:18,080 Speaker 1: be fully transparent, light and and and and transparency exposes 612 00:36:18,120 --> 00:36:21,040 Speaker 1: all the good and the bad, and instead they just 613 00:36:21,160 --> 00:36:23,439 Speaker 1: want the bad. They don't want to go in and say, well, 614 00:36:23,440 --> 00:36:25,960 Speaker 1: maybe there's incitement here or maybe there was there was 615 00:36:26,160 --> 00:36:29,759 Speaker 1: involvement by the Feds here. Uh. You know, we look 616 00:36:29,760 --> 00:36:31,040 Speaker 1: at it from the point of view as they had 617 00:36:31,080 --> 00:36:35,320 Speaker 1: more troops securing uh DC in the days after January 618 00:36:35,320 --> 00:36:38,799 Speaker 1: sixth than they did securing Afghanistan in the in the 619 00:36:39,000 --> 00:36:43,840 Speaker 1: hours before the pullout. This is this is a narrative 620 00:36:43,920 --> 00:36:47,799 Speaker 1: building issue. This is about creating this idea the Republicans 621 00:36:47,800 --> 00:36:50,959 Speaker 1: were insurrectionists, that they were that they were against what 622 00:36:51,000 --> 00:36:54,120 Speaker 1: the United States stands for, when in reality, if you 623 00:36:54,160 --> 00:36:57,520 Speaker 1: look at every single constitutional protection which were granted, the 624 00:36:57,600 --> 00:36:59,520 Speaker 1: Dems have been trying to trample on every single one 625 00:36:59,520 --> 00:37:01,719 Speaker 1: of them over the course of the last decade. So 626 00:37:01,760 --> 00:37:03,680 Speaker 1: it just goes to show that they're trying to make 627 00:37:03,719 --> 00:37:05,880 Speaker 1: us look an anti American. They're trying to make us 628 00:37:05,880 --> 00:37:10,960 Speaker 1: look like insurrectionists, and it's just not sticking. Speaking of 629 00:37:11,239 --> 00:37:14,359 Speaker 1: trampling on things, it's the big news out there right now. 630 00:37:14,400 --> 00:37:17,360 Speaker 1: The Congress of Marjorie Taylor Greening got axed from Twitter 631 00:37:17,920 --> 00:37:20,920 Speaker 1: for COVID stuff, and that's really what I want to focus, 632 00:37:20,960 --> 00:37:24,680 Speaker 1: not necessarily on her or censorship, but on the COVID stuff. 633 00:37:24,719 --> 00:37:29,959 Speaker 1: Big Tech censors people for vaccines and COVID information all 634 00:37:30,000 --> 00:37:33,719 Speaker 1: the time. But Scott, the information's constantly changing. I mean, 635 00:37:33,760 --> 00:37:37,920 Speaker 1: the approved message from the system was vaccines will keep 636 00:37:37,920 --> 00:37:40,799 Speaker 1: you from getting coronavirus, it will keep you from spreading coronavirus. 637 00:37:40,840 --> 00:37:44,279 Speaker 1: We of course now know that's wrong. The vaccines will 638 00:37:44,280 --> 00:37:46,520 Speaker 1: definitely save this and save that, and you won't need 639 00:37:46,560 --> 00:37:49,120 Speaker 1: a booster. Now you have to get a booster. The 640 00:37:49,160 --> 00:37:52,759 Speaker 1: truth is always changing, Scott, and it pardoned me if 641 00:37:52,760 --> 00:37:54,560 Speaker 1: I'm not a little bit creeped out at this point 642 00:37:54,560 --> 00:37:57,319 Speaker 1: in time how big tech seems to either control it 643 00:37:57,640 --> 00:38:01,560 Speaker 1: or go along with it. To me, it goes along 644 00:38:01,560 --> 00:38:03,879 Speaker 1: the fact that they're not interested in the truth. They're 645 00:38:03,920 --> 00:38:06,600 Speaker 1: interested in the narrative. And that has always been my 646 00:38:06,719 --> 00:38:09,360 Speaker 1: argument from the very beginning. If they were interested in 647 00:38:09,360 --> 00:38:11,960 Speaker 1: the truth, they'd be interested in all facts. Considering this, 648 00:38:12,040 --> 00:38:15,640 Speaker 1: when I started originally reporting on COVID origins, I was 649 00:38:15,680 --> 00:38:18,239 Speaker 1: told that I couldn't report on it, that if we did, 650 00:38:18,360 --> 00:38:22,920 Speaker 1: we risked losing our ability to spread our message on 651 00:38:22,960 --> 00:38:26,479 Speaker 1: social media at Red State, so we very much held 652 00:38:26,480 --> 00:38:28,520 Speaker 1: our breath. And then, of course, when rand Paul started 653 00:38:28,600 --> 00:38:30,279 Speaker 1: hitting on it, that kind of opened the door a 654 00:38:30,360 --> 00:38:33,000 Speaker 1: little bit, and then even the mainstream media reporting on 655 00:38:33,040 --> 00:38:34,880 Speaker 1: it months after I reported on it in June and 656 00:38:34,960 --> 00:38:39,560 Speaker 1: July are suddenly reporting it on September October to show 657 00:38:39,719 --> 00:38:42,200 Speaker 1: this and suddenly it's now okay to talk about it. 658 00:38:42,200 --> 00:38:43,920 Speaker 1: I literally wrote about this at Red State. Is it 659 00:38:43,920 --> 00:38:46,239 Speaker 1: okay that we talk about this now? Because you are 660 00:38:46,480 --> 00:38:50,680 Speaker 1: chosen conduits of media, I've decided that this is okay 661 00:38:50,680 --> 00:38:53,040 Speaker 1: to talk about now we can say things about it. 662 00:38:53,040 --> 00:38:56,080 Speaker 1: It goes to COVID data. None of the data that 663 00:38:56,120 --> 00:39:00,000 Speaker 1: they're suggesting, you know, backs up their quote unquote sign 664 00:39:00,520 --> 00:39:02,600 Speaker 1: Does I do data for a living? This is all 665 00:39:02,640 --> 00:39:04,360 Speaker 1: I look at all day long. And when they go 666 00:39:04,400 --> 00:39:06,560 Speaker 1: out and they say that omicron, that vaccines are effective 667 00:39:06,560 --> 00:39:10,239 Speaker 1: against omicron, there is no data and I repeat, no 668 00:39:10,360 --> 00:39:13,880 Speaker 1: data to suggest that vaccines are effective against omicron, not 669 00:39:13,920 --> 00:39:18,000 Speaker 1: against transmission, and not against reducing either hospitalization, hospitalizations, or death. 670 00:39:18,280 --> 00:39:20,440 Speaker 1: There is none. They tell you that there is, but 671 00:39:20,480 --> 00:39:22,839 Speaker 1: when you ask them to reveal it, they say that 672 00:39:22,840 --> 00:39:26,200 Speaker 1: that is private information for the vaccine companies, which by 673 00:39:26,239 --> 00:39:28,200 Speaker 1: the way, they're trying to lock up access to until 674 00:39:28,239 --> 00:39:32,920 Speaker 1: twenty seventy six. So we're talking about a genuine effort 675 00:39:32,960 --> 00:39:37,520 Speaker 1: to reduce transparency as we've been talking about and control 676 00:39:37,600 --> 00:39:41,360 Speaker 1: the narrative. It has never been about truth and truth 677 00:39:41,640 --> 00:39:45,440 Speaker 1: is an absolute. It does not change. Science changes, but 678 00:39:45,520 --> 00:39:47,919 Speaker 1: truth does not. And when you go into the fact 679 00:39:47,960 --> 00:39:50,839 Speaker 1: that you talk about where these vaccines, like, you know, 680 00:39:50,960 --> 00:39:54,279 Speaker 1: the testing phases of it, whether or not anyone if 681 00:39:54,320 --> 00:39:56,560 Speaker 1: I got the vaccine, I got sick, Who do I sue? 682 00:39:57,000 --> 00:40:00,760 Speaker 1: Who accepts liability? Not the government? And and in Fisty 683 00:40:00,840 --> 00:40:05,000 Speaker 1: Maderna have been have been immunized against against lawsuits. So 684 00:40:05,040 --> 00:40:07,000 Speaker 1: at this point there just it meaning to be so 685 00:40:07,080 --> 00:40:09,960 Speaker 1: much cover up, lack of transparency, lack of honesty, that 686 00:40:10,040 --> 00:40:13,040 Speaker 1: I just can't get behind any any at this point, 687 00:40:13,360 --> 00:40:20,000 Speaker 1: any mandate to un at all Scott Hounce to everybody, Scott, 688 00:40:20,000 --> 00:40:21,680 Speaker 1: thank you for what you do. A Red state appreciate you, 689 00:40:21,719 --> 00:40:27,120 Speaker 1: but thanks man. Have a good day, all right. I 690 00:40:27,200 --> 00:40:30,120 Speaker 1: just got back from vacation and apparently there were some 691 00:40:30,200 --> 00:40:34,080 Speaker 1: allegations that I was under fire on vacation. I need 692 00:40:34,080 --> 00:40:45,360 Speaker 1: to address those allegations coming up next. I was on vacation. 693 00:40:46,080 --> 00:40:48,480 Speaker 1: I was down on the beach in Florida. That's week. 694 00:40:48,520 --> 00:40:50,879 Speaker 1: That's where I was, and I got a kick out 695 00:40:50,880 --> 00:40:54,200 Speaker 1: of this. A Yahoo ran some article on the front 696 00:40:54,200 --> 00:40:56,400 Speaker 1: page of Yahoo, you know, big left wing news site. 697 00:40:56,640 --> 00:41:00,600 Speaker 1: They ran some front page about how I was under fire. 698 00:41:00,800 --> 00:41:03,040 Speaker 1: You remember that I played the interview I did on 699 00:41:03,120 --> 00:41:06,680 Speaker 1: Tucker Carlson about how we need a bloodthirsty military. We 700 00:41:06,760 --> 00:41:09,359 Speaker 1: got to get all this all this social justice woke 701 00:41:09,440 --> 00:41:11,480 Speaker 1: nonsense out of the military. You remember the whole thing. 702 00:41:11,760 --> 00:41:14,000 Speaker 1: All the communists gott met, even the communists in China 703 00:41:14,040 --> 00:41:15,360 Speaker 1: got mad at me about the whole thing. God was, 704 00:41:15,360 --> 00:41:17,600 Speaker 1: of course right, But I really got to kick out 705 00:41:17,640 --> 00:41:20,799 Speaker 1: of this article. For this reason, I'm under fire. I'm 706 00:41:20,960 --> 00:41:26,600 Speaker 1: under fire. We are disadvantaged a lot when it comes 707 00:41:26,640 --> 00:41:29,439 Speaker 1: to facing the Communists because they're so committed. We've talked 708 00:41:29,440 --> 00:41:31,600 Speaker 1: about it a lot. It's their religion. It's not your religion. 709 00:41:31,640 --> 00:41:33,919 Speaker 1: It's not my religion. We don't worship it. They do. 710 00:41:33,960 --> 00:41:37,120 Speaker 1: They live and die for it. That's a disadvantage. Their 711 00:41:37,200 --> 00:41:39,360 Speaker 1: disadvantage though, too. And this is why this is what 712 00:41:39,400 --> 00:41:44,880 Speaker 1: I mean. I'm under fire from who you see these 713 00:41:44,880 --> 00:41:48,359 Speaker 1: people because they never have to be confronted with right 714 00:41:48,400 --> 00:41:52,960 Speaker 1: wing opinions. They live, work and worship, well, they don't worship, 715 00:41:52,960 --> 00:41:55,760 Speaker 1: but they live and work in these super blue areas. 716 00:41:56,080 --> 00:41:59,840 Speaker 1: They consume only super left wing nonsense. They listen to it. 717 00:42:00,000 --> 00:42:02,239 Speaker 1: The movies they watch are all tailored for them. They're 718 00:42:02,920 --> 00:42:08,360 Speaker 1: everything in their lives is communism. So something happens I 719 00:42:08,400 --> 00:42:12,239 Speaker 1: give an interview on Tucker and it makes the communists mad. Well, 720 00:42:12,280 --> 00:42:15,160 Speaker 1: it'll make one communist mad, and then his buddies will 721 00:42:15,160 --> 00:42:16,640 Speaker 1: get in on it, and they'll be really mad, and 722 00:42:16,680 --> 00:42:18,840 Speaker 1: then they're soon they're all getting really bad about it, 723 00:42:18,880 --> 00:42:20,920 Speaker 1: and they're all sharing the same video and it's just 724 00:42:20,920 --> 00:42:23,360 Speaker 1: going across Reddit. Il was heard, it was on Reddit, 725 00:42:23,400 --> 00:42:25,919 Speaker 1: and they're spreading all across Look at this nut job, 726 00:42:26,239 --> 00:42:28,719 Speaker 1: look at this idiot, and soon in this guy's mind 727 00:42:29,320 --> 00:42:35,240 Speaker 1: ninety thousand people. Hey Jesse Kelly, he's under fire. Well 728 00:42:35,400 --> 00:42:38,440 Speaker 1: I wanna show you just a little picture of how 729 00:42:39,080 --> 00:42:44,360 Speaker 1: under fire I truly was. That's me on a lawn 730 00:42:44,480 --> 00:42:48,400 Speaker 1: chair asleep. Yes, if case you're wondering, that is a 731 00:42:48,440 --> 00:42:53,600 Speaker 1: picture of myself on my T shirt. You see, they 732 00:42:53,719 --> 00:42:59,160 Speaker 1: exist only in their world. I'm not under fire. Nothing 733 00:42:59,239 --> 00:43:03,000 Speaker 1: made my Vacabian sweeter than knowing communists were mad. And 734 00:43:03,160 --> 00:43:06,759 Speaker 1: look shout out to the first I'm not under fire 735 00:43:06,800 --> 00:43:08,799 Speaker 1: because they don't care when communists get mad at me. 736 00:43:09,000 --> 00:43:11,600 Speaker 1: They love when communists get mad at me. I'm not 737 00:43:11,719 --> 00:43:15,160 Speaker 1: under fire. My boss texted me and said, this is fantastic. 738 00:43:16,040 --> 00:43:20,200 Speaker 1: You're never going to make me under fire communists because well, 739 00:43:20,280 --> 00:43:22,960 Speaker 1: let me see. I want to put this nicely. I 740 00:43:23,000 --> 00:43:28,320 Speaker 1: hate you. When you're mad at me, that's a joy 741 00:43:28,440 --> 00:43:31,879 Speaker 1: for me. And if you say, yeah, but we're all mad, yeah, 742 00:43:31,880 --> 00:43:35,600 Speaker 1: but that only makes me more joyful. I hate you 743 00:43:35,760 --> 00:43:41,399 Speaker 1: and you're miserable, demonic, evil, murderous worldview. I think it's 744 00:43:41,440 --> 00:43:45,759 Speaker 1: a disgusting virus on this earth, and anything I can 745 00:43:45,800 --> 00:43:50,000 Speaker 1: do to make you hate me brings me joy. The 746 00:43:50,160 --> 00:43:53,200 Speaker 1: day I die, whether that's tomorrow or eighty years from now, 747 00:43:53,960 --> 00:43:57,400 Speaker 1: I want you to throw parades in the streets because 748 00:43:57,440 --> 00:44:01,239 Speaker 1: you're so happy I'm gone. That will make my day 749 00:44:01,320 --> 00:44:03,399 Speaker 1: as I look down in Evan and laugh at all 750 00:44:03,440 --> 00:44:07,960 Speaker 1: of you. That's my dream. I want you to hate me, 751 00:44:09,360 --> 00:44:11,120 Speaker 1: all right, I'll see them all