1 00:00:03,120 --> 00:00:07,840 Speaker 1: Recording Europe. About to enter the arena and join the 2 00:00:08,000 --> 00:00:08,560 Speaker 1: battle to. 3 00:00:08,800 --> 00:00:13,200 Speaker 2: Save America with your host, Sean Parnell. 4 00:00:14,320 --> 00:00:21,599 Speaker 3: Good evening, patriots, it's a Thursday. Welcome to Battleground Live. 5 00:00:21,800 --> 00:00:25,239 Speaker 3: I'm your host of combat veteran and a humble servant 6 00:00:25,320 --> 00:00:29,760 Speaker 3: of America from sea to shining Sea in everybody in between. 7 00:00:30,000 --> 00:00:34,640 Speaker 3: Welcome patriots. It's time to save this country. Tonight got 8 00:00:34,680 --> 00:00:41,040 Speaker 3: a huge show. I've got Brian Dean Wright in the arena. 9 00:00:41,120 --> 00:00:44,040 Speaker 3: I'm sure you've seen him on Tucker and on all 10 00:00:44,080 --> 00:00:45,720 Speaker 3: these different shows. 11 00:00:46,320 --> 00:00:48,720 Speaker 1: He is a disaffected. 12 00:00:47,960 --> 00:00:52,440 Speaker 3: Democrat, but now he is staunchly America first. He is 13 00:00:52,479 --> 00:00:55,960 Speaker 3: also a former CIA operations officer and he's the host 14 00:00:56,040 --> 00:00:58,640 Speaker 3: of The Right Report. It's a great podcast. You should 15 00:00:58,640 --> 00:01:01,320 Speaker 3: definitely go listen to wherever you listen to your podcast. 16 00:01:01,360 --> 00:01:03,720 Speaker 3: But he's in the arena tonight. We are going to 17 00:01:03,760 --> 00:01:07,560 Speaker 3: be talking about in very short time, about this barge 18 00:01:07,760 --> 00:01:11,839 Speaker 3: crash in Texas and about whether or not the Chinese 19 00:01:12,240 --> 00:01:16,400 Speaker 3: have the ability to hack our vessels at sea. It's 20 00:01:16,440 --> 00:01:18,959 Speaker 3: gonna be fascinating, so stay tuned for that. But we're 21 00:01:18,959 --> 00:01:21,720 Speaker 3: gonna talk about base decay in the Democrat Party. We're 22 00:01:21,720 --> 00:01:25,320 Speaker 3: going to talk about Republicans absolutely needing to get their 23 00:01:25,400 --> 00:01:28,200 Speaker 3: house in order in order for us to win in 24 00:01:28,319 --> 00:01:33,240 Speaker 3: twenty twenty four, the Cohen case implodes. And listen to 25 00:01:33,319 --> 00:01:37,319 Speaker 3: me very carefully. I'm gonna end this show with something 26 00:01:37,400 --> 00:01:39,800 Speaker 3: I've been thinking about a lot, and that is COVID. 27 00:01:40,000 --> 00:01:43,760 Speaker 3: And I'll tell you this another COVID conspiracy bites the 28 00:01:43,880 --> 00:01:44,479 Speaker 3: dust in. 29 00:01:44,480 --> 00:01:45,960 Speaker 1: A big, big way. 30 00:01:46,680 --> 00:01:53,440 Speaker 3: Okay, thank you for being patient, my fellow patriots. Let 31 00:01:53,440 --> 00:01:55,760 Speaker 3: me just tell you something right off the top here, folks, 32 00:01:56,520 --> 00:01:58,880 Speaker 3: Republicans have better get our own house in order. 33 00:01:58,920 --> 00:01:59,080 Speaker 4: Now. 34 00:01:59,080 --> 00:02:02,440 Speaker 3: We talk a lot on this show about the fact 35 00:02:02,480 --> 00:02:05,360 Speaker 3: that the Democrats are in disarray. We talk a lot 36 00:02:05,440 --> 00:02:09,320 Speaker 3: about Trump's polling and how we are on a pathway 37 00:02:09,400 --> 00:02:14,200 Speaker 3: to what looks like could be a Trump landslide. Now, 38 00:02:14,280 --> 00:02:17,400 Speaker 3: let me tell you this, always, and I mean always, 39 00:02:17,400 --> 00:02:22,360 Speaker 3: with a capital a campaign like you are what ten 40 00:02:22,440 --> 00:02:25,880 Speaker 3: points down, it doesn't matter if you think a landslide 41 00:02:25,919 --> 00:02:28,600 Speaker 3: is imminent. You work your ass off until the very 42 00:02:28,680 --> 00:02:31,400 Speaker 3: very enuntil you cross that finish line. That's all that 43 00:02:31,480 --> 00:02:36,880 Speaker 3: matters is winning. We talk about this often, but Republicans, 44 00:02:37,280 --> 00:02:40,960 Speaker 3: we absolutely cannot get complacent in twenty twenty four. And 45 00:02:41,240 --> 00:02:43,720 Speaker 3: I'm real, real fired up about something right off the 46 00:02:43,720 --> 00:02:45,600 Speaker 3: top here, folks. And I've been doing a lot of 47 00:02:45,639 --> 00:02:48,640 Speaker 3: studying in Pennsylvania. And you might be saying, is you 48 00:02:48,680 --> 00:02:51,200 Speaker 3: watch this show? Well, look, I'm not from Pennsylvania. This 49 00:02:51,280 --> 00:02:52,960 Speaker 3: is a national show. Why the hell is he talk 50 00:02:53,000 --> 00:02:56,079 Speaker 3: about Pennsylvania so much? Well, the reason why I talk 51 00:02:56,120 --> 00:02:59,440 Speaker 3: about Pennsylvania is because, as you know, the original gangsters 52 00:02:59,440 --> 00:03:02,520 Speaker 3: of the Battle Crew will tell you, is that Pennsylvania 53 00:03:02,880 --> 00:03:07,600 Speaker 3: is the lynch pin. If Republicans win Pennsylvania, it is 54 00:03:07,960 --> 00:03:12,279 Speaker 3: very very likely that everything else falls in line. Nevada, Arizona, 55 00:03:12,680 --> 00:03:17,800 Speaker 3: North Carolina, Georgia, Ohio, Montana, I mean obviously West Virginia. 56 00:03:17,840 --> 00:03:19,800 Speaker 3: I think that the Republicans are going to win the Senate, 57 00:03:19,880 --> 00:03:22,640 Speaker 3: have a very very strong likelihood that we could win 58 00:03:22,680 --> 00:03:26,240 Speaker 3: the White House. But I'm telling you, folks, this is 59 00:03:26,280 --> 00:03:32,040 Speaker 3: critically important. The polls don't really matter, right They're just 60 00:03:32,200 --> 00:03:35,840 Speaker 3: a snapshot of a moment in time. They give us 61 00:03:35,880 --> 00:03:39,600 Speaker 3: a sentiment of where the country is right now. And 62 00:03:39,880 --> 00:03:44,640 Speaker 3: right now, the vast majority of the country believes that 63 00:03:44,760 --> 00:03:51,000 Speaker 3: Biden is an old, feeble animated corpse. They've literally seen 64 00:03:51,040 --> 00:03:54,640 Speaker 3: the guy poop himself on camera in front of the media. 65 00:03:55,000 --> 00:03:58,120 Speaker 3: These guy poops himself in front of world leaders. Okay, 66 00:03:59,360 --> 00:04:02,720 Speaker 3: Biden's a disaster, but the people who are running the 67 00:04:02,840 --> 00:04:08,160 Speaker 3: show are not. And that means we can't get complacent. 68 00:04:08,200 --> 00:04:10,560 Speaker 3: I'm a combat vetteran it was wounded in Afghanistan a 69 00:04:10,560 --> 00:04:15,600 Speaker 3: couple of times. Right, you get complacent in Afghanistan. If 70 00:04:15,640 --> 00:04:19,640 Speaker 3: you aren't constantly thinking in combat about what your enemy 71 00:04:19,760 --> 00:04:25,040 Speaker 3: is going to do next, you are dead. You are dead. 72 00:04:25,279 --> 00:04:28,960 Speaker 3: And my fear right now is that Republicans are riding high. 73 00:04:29,279 --> 00:04:32,240 Speaker 3: We see these Trump rallies in New Jersey, we see 74 00:04:32,279 --> 00:04:35,479 Speaker 3: the polls. I mean, obviously the lawfare is failing on 75 00:04:35,520 --> 00:04:37,040 Speaker 3: all fronts, and we're gonna get to that in just 76 00:04:37,080 --> 00:04:41,840 Speaker 3: a second. But we cannot get complacent. And I'm gonna 77 00:04:41,839 --> 00:04:44,800 Speaker 3: tell you why. Like, listen, listen to this talk about 78 00:04:44,800 --> 00:04:49,200 Speaker 3: Pennsylvania again. If we win Pennsylvania, we save America. It's 79 00:04:49,320 --> 00:04:56,000 Speaker 3: just that simple. I'm like looking at these numbers and 80 00:04:56,000 --> 00:04:59,440 Speaker 3: it just drives me absolutely crazy. We talk about the 81 00:04:59,440 --> 00:05:02,760 Speaker 3: fact that Democrats and the deep state rigged the twenty 82 00:05:02,800 --> 00:05:06,680 Speaker 3: twenty election, and they absolutely did. They can't win in 83 00:05:06,760 --> 00:05:09,880 Speaker 3: any other way. But follow me with these numbers, and 84 00:05:10,279 --> 00:05:12,760 Speaker 3: as I talk I want you to understand the terminology. 85 00:05:12,800 --> 00:05:15,719 Speaker 3: So let me tell you about what you would call 86 00:05:15,839 --> 00:05:19,400 Speaker 3: a four of four voter is. So when you're talking 87 00:05:19,400 --> 00:05:24,000 Speaker 3: about four of four, you're saying in four election cycles, 88 00:05:24,080 --> 00:05:27,480 Speaker 3: a four of four voter is somebody who was voted 89 00:05:27,600 --> 00:05:30,560 Speaker 3: in every one of those election cycles, of all the 90 00:05:30,640 --> 00:05:33,640 Speaker 3: last four election sitle four or four voter right there, 91 00:05:33,680 --> 00:05:36,279 Speaker 3: at every single one. He is what we would call 92 00:05:36,320 --> 00:05:39,960 Speaker 3: in the Republican Party as a high prop voter, right, 93 00:05:40,160 --> 00:05:44,320 Speaker 3: very likelihood, very high likelihood that somebody like that is voting. Okay, 94 00:05:44,480 --> 00:05:47,200 Speaker 3: A three of four voter, Okay. 95 00:05:47,160 --> 00:05:47,720 Speaker 1: Do the math. 96 00:05:47,880 --> 00:05:51,159 Speaker 3: Someone who shows up in three of four elections, so 97 00:05:51,839 --> 00:05:55,120 Speaker 3: technically still a high prop voter. Now I want you 98 00:05:55,160 --> 00:05:57,200 Speaker 3: to follow first, I'm going to talk about four or 99 00:05:57,240 --> 00:05:59,479 Speaker 3: four voters. Now, this is by the numbers. You aren't 100 00:05:59,480 --> 00:06:01,400 Speaker 3: going to hear this anywhere else, and you want to 101 00:06:01,440 --> 00:06:06,600 Speaker 3: know why, because our freaking party, Conservative Republican Party, is 102 00:06:06,720 --> 00:06:10,360 Speaker 3: so behind the curve on this stuff that it's embarrassing. 103 00:06:10,760 --> 00:06:14,840 Speaker 3: So I have taken it upon myself to figure this, 104 00:06:15,360 --> 00:06:19,799 Speaker 3: you know what, out for you. But in twenty twenty, 105 00:06:19,960 --> 00:06:24,880 Speaker 3: more than listen to this in Pennsylvania. Okay, in twenty twenty, 106 00:06:25,080 --> 00:06:29,760 Speaker 3: more than thirty five thousand, four of four voters skipped 107 00:06:29,839 --> 00:06:34,760 Speaker 3: the general election. Okay, In twenty twenty two, that number 108 00:06:34,839 --> 00:06:39,360 Speaker 3: rose to over sixty one thousand, four of four voters 109 00:06:39,520 --> 00:06:43,840 Speaker 3: skipped that election. Now back to twenty twenty, let's talk 110 00:06:43,880 --> 00:06:45,880 Speaker 3: about three of four voters, right. 111 00:06:45,960 --> 00:06:48,599 Speaker 1: These are our high prop people. 112 00:06:49,360 --> 00:06:54,640 Speaker 3: In twenty twenty, more than seventy thousand, three of four 113 00:06:54,920 --> 00:07:02,200 Speaker 3: Republican voters skipped the general election seventy thousand. In twenty 114 00:07:02,320 --> 00:07:05,520 Speaker 3: and twenty two, that number rose to one hundred and 115 00:07:05,640 --> 00:07:10,240 Speaker 3: seventy three thousand, nine hundred three of four voters. 116 00:07:10,000 --> 00:07:11,000 Speaker 1: Skipping the election. 117 00:07:11,360 --> 00:07:15,080 Speaker 3: So in two thousand and twenty, more than one hundred 118 00:07:15,480 --> 00:07:21,440 Speaker 3: thousand lockstock and barrel true believing high prop Republican voters 119 00:07:21,520 --> 00:07:24,720 Speaker 3: just skipped. And in twenty twenty two, more than two 120 00:07:25,080 --> 00:07:29,000 Speaker 3: hundred and thirty thousand high prop lock stock and barrel 121 00:07:29,000 --> 00:07:31,960 Speaker 3: conservatives just said, you know what, I'm not going to vote. 122 00:07:32,040 --> 00:07:35,280 Speaker 3: So even with let's talk about twenty twenty, the margin 123 00:07:35,440 --> 00:07:39,760 Speaker 3: in twenty twenty was eighty thousand votes in Pennsylvania, even 124 00:07:39,800 --> 00:07:42,520 Speaker 3: with all the cheating, even with the you know, the 125 00:07:42,560 --> 00:07:46,560 Speaker 3: assholes in Philadelphia throwing up the cardboard. You know poll watchers, 126 00:07:46,920 --> 00:07:52,400 Speaker 3: COVID lockdowns, unsupervised dropboxes, Zuckerbucks, and every single heavily Democrat 127 00:07:52,440 --> 00:07:57,720 Speaker 3: precinct no voter ID, no signature verification, no postmark requirement, nothing, 128 00:07:57,800 --> 00:08:02,560 Speaker 3: even with all of the cheating went that went on, 129 00:08:03,000 --> 00:08:07,600 Speaker 3: and believe me, there was a ton. These one hundred 130 00:08:07,680 --> 00:08:16,280 Speaker 3: thousand high prop voters are are true believing Republican conservative voters. 131 00:08:16,600 --> 00:08:19,880 Speaker 3: Had they showed up, Trump would have won by twenty 132 00:08:20,280 --> 00:08:24,239 Speaker 3: thousand votes in twenty and twenty. 133 00:08:25,240 --> 00:08:26,080 Speaker 1: Think about that. 134 00:08:26,400 --> 00:08:28,360 Speaker 3: So this is what I'm This is what I'm getting 135 00:08:28,400 --> 00:08:30,679 Speaker 3: to when you talk about the Democrats being their backs 136 00:08:30,760 --> 00:08:34,640 Speaker 3: up against the wall, Yeah they are, but we have 137 00:08:34,720 --> 00:08:37,520 Speaker 3: to be better. And how about in twenty twenty two. 138 00:08:38,080 --> 00:08:42,320 Speaker 3: So in twenty twenty two for Senate, we got Turnip 139 00:08:42,360 --> 00:08:45,080 Speaker 3: Brain Fetterman in there, but we lost by two hundred 140 00:08:45,120 --> 00:08:48,440 Speaker 3: and sixty thousand votes. So we're only talking about a 141 00:08:48,480 --> 00:08:51,920 Speaker 3: thirty thousand vote difference even in twenty and twenty two 142 00:08:52,880 --> 00:08:56,440 Speaker 3: if our high prop people just showed up. But what 143 00:08:56,720 --> 00:09:00,640 Speaker 3: hope do we have of ever saving this country when 144 00:09:00,640 --> 00:09:04,120 Speaker 3: our most passionate voters stay home. Now, listen, folks, I 145 00:09:04,880 --> 00:09:08,360 Speaker 3: did this. I've got organizations pulled together working my ass 146 00:09:08,360 --> 00:09:11,400 Speaker 3: off to save this country every day. But these these 147 00:09:11,520 --> 00:09:16,839 Speaker 3: numbers are accurate, and our people just we're not showing up. 148 00:09:17,960 --> 00:09:20,600 Speaker 3: We aren't showing up. So when the Democrats cheat their 149 00:09:20,600 --> 00:09:23,560 Speaker 3: way to victory, who the hell are we to complaint? 150 00:09:25,160 --> 00:09:27,240 Speaker 3: And it frustrates the hell out of me because I 151 00:09:27,360 --> 00:09:30,920 Speaker 3: got kids, You got kids, grandkids, loved ones, and you 152 00:09:31,000 --> 00:09:34,080 Speaker 3: want them to inherit in America that is free and 153 00:09:34,240 --> 00:09:35,560 Speaker 3: rich with opportunity. 154 00:09:36,920 --> 00:09:38,199 Speaker 1: I worry every. 155 00:09:38,280 --> 00:09:41,440 Speaker 3: Damn day for my children. I got five kids in 156 00:09:41,480 --> 00:09:44,760 Speaker 3: this country. They're the most amazing kids in the world. 157 00:09:46,400 --> 00:09:49,319 Speaker 3: And I think, you know, they're all pretty damn conservative, 158 00:09:49,400 --> 00:09:54,000 Speaker 3: and that's a pretty great thing. But I worry about 159 00:09:54,000 --> 00:09:58,600 Speaker 3: the country that they're gonna inherit because the Democrats are 160 00:09:58,760 --> 00:10:06,720 Speaker 3: just a disaster in every way, shape and form. But 161 00:10:06,840 --> 00:10:09,719 Speaker 3: they are in the grips of what I call on 162 00:10:09,760 --> 00:10:13,719 Speaker 3: this show, and original gangsters of the Battle Crew know this. 163 00:10:13,880 --> 00:10:14,559 Speaker 1: They are in the. 164 00:10:14,520 --> 00:10:18,480 Speaker 3: Grips of what I believe is the great base decay. 165 00:10:19,520 --> 00:10:23,880 Speaker 3: In other words, their base is so divided. The Democrats 166 00:10:24,280 --> 00:10:27,600 Speaker 3: if look, if they rig, they rig their own primaries 167 00:10:27,679 --> 00:10:30,960 Speaker 3: through a super delegate system. Remember back in twenty sixteen, 168 00:10:31,679 --> 00:10:34,480 Speaker 3: they rig the primary in favor of Hillary Clinton by 169 00:10:34,640 --> 00:10:37,920 Speaker 3: pushing Bernie Sanders off to the side. In twenty twenty, 170 00:10:38,240 --> 00:10:41,400 Speaker 3: they rig the primary in favor of Joe Biden. Remember 171 00:10:41,400 --> 00:10:44,360 Speaker 3: the magical consolidation after South Carolina. And guess who they 172 00:10:44,400 --> 00:10:47,600 Speaker 3: push to the side, Bernie Sanders. Well, so, if you're 173 00:10:47,640 --> 00:10:49,679 Speaker 3: a voter in the Democrat Party over the last two 174 00:10:49,720 --> 00:10:52,560 Speaker 3: presidential election cycles, you're wondering, what the hell am I 175 00:10:52,600 --> 00:10:55,760 Speaker 3: even voting for it? Does my voice even matter? And 176 00:10:55,800 --> 00:10:58,160 Speaker 3: so what's happening now in their party? And you see 177 00:10:58,160 --> 00:11:02,640 Speaker 3: it reflected between the Israel the pro Israel Democrats in 178 00:11:02,720 --> 00:11:08,440 Speaker 3: the pro terrorst sympathizing Hamas Democrats. They're divided, they don't 179 00:11:08,480 --> 00:11:11,560 Speaker 3: know what the hell they're gonna do it. But the 180 00:11:11,559 --> 00:11:14,920 Speaker 3: way it's manifesting itself and has manifested itself in the 181 00:11:14,960 --> 00:11:18,960 Speaker 3: Democrat primary is in the form of uncommitted votes. And 182 00:11:19,040 --> 00:11:22,480 Speaker 3: again I point to Wisconsin as a great example. Wisconsin's 183 00:11:22,520 --> 00:11:26,760 Speaker 3: a swing state. Joe Biden got double the amount of 184 00:11:26,840 --> 00:11:31,360 Speaker 3: uncommitted votes in twenty twenty four then his margin of 185 00:11:31,440 --> 00:11:33,960 Speaker 3: victory in twenty twenty In other words, two times as 186 00:11:34,000 --> 00:11:38,800 Speaker 3: many uncommitted votes in the Democrat primary, then his total 187 00:11:38,840 --> 00:11:42,559 Speaker 3: margin of victory in twenty twenty. This animated corpse is 188 00:11:42,640 --> 00:11:47,319 Speaker 3: in big, big trouble, and not only that their lawfare 189 00:11:47,600 --> 00:11:53,240 Speaker 3: is failing on all fronts. This Alisa Fara, she's used 190 00:11:53,280 --> 00:11:55,600 Speaker 3: to work for Trump, but she's she was in his 191 00:11:55,720 --> 00:11:58,200 Speaker 3: outer circle, never really had any one on one time 192 00:11:58,240 --> 00:12:00,720 Speaker 3: with him, but she was able to part that into 193 00:12:00,840 --> 00:12:03,200 Speaker 3: like a seven figure job on the View. And if 194 00:12:03,240 --> 00:12:05,360 Speaker 3: you ever watched The View, I mean, first of all, 195 00:12:05,360 --> 00:12:07,880 Speaker 3: if you watch for more than ten minutes, there's the 196 00:12:07,960 --> 00:12:10,240 Speaker 3: View should come with a warning label that your IQ 197 00:12:10,400 --> 00:12:13,200 Speaker 3: will drop substantially if you watch it. And so if 198 00:12:13,240 --> 00:12:15,480 Speaker 3: you watch for ten minutes, you might find yourself with 199 00:12:15,520 --> 00:12:18,319 Speaker 3: an I a Q below seventy. You know, you might 200 00:12:18,360 --> 00:12:22,240 Speaker 3: find yourself with some real at least temporarily. But Farah 201 00:12:22,360 --> 00:12:26,439 Speaker 3: is on the View, and even she's not convinced that 202 00:12:26,480 --> 00:12:28,400 Speaker 3: the lawfair is working. And of course she's on with 203 00:12:28,520 --> 00:12:30,960 Speaker 3: Jake Tapper, who we like to call on this program, 204 00:12:31,040 --> 00:12:33,920 Speaker 3: Monica Lewinsky's boyfriend, and all the new people who are 205 00:12:33,960 --> 00:12:37,680 Speaker 3: watching the show right now. Yeah, Jake Tapper, go google 206 00:12:37,760 --> 00:12:40,800 Speaker 3: Jake Tapper, Monica Lewinsky. You'll see what I'm talking about. 207 00:12:41,480 --> 00:12:43,920 Speaker 3: A lot of people don't know that, but check it out. 208 00:12:45,080 --> 00:12:48,120 Speaker 3: But listen to Alissa Farra on with Monica Lewinsky's boyfriend. 209 00:12:48,240 --> 00:12:50,680 Speaker 4: So the jury's not going to hear this, so don't worry. 210 00:12:51,679 --> 00:12:54,720 Speaker 4: How would based on well, you would never be accepted 211 00:12:54,720 --> 00:12:57,840 Speaker 4: as a jury. You're too you're too much biased, no offense, 212 00:12:57,880 --> 00:13:00,439 Speaker 4: what you experience with the defendant. Do you think that 213 00:13:00,480 --> 00:13:03,680 Speaker 4: they are proving this case within a with a with 214 00:13:03,480 --> 00:13:05,560 Speaker 4: a without a reasonable doubt? I mean, like, have they 215 00:13:05,559 --> 00:13:06,800 Speaker 4: cleared the burden for you? 216 00:13:09,040 --> 00:13:12,319 Speaker 5: For me, even with my strong feelings about Donald Trump, 217 00:13:12,360 --> 00:13:15,560 Speaker 5: my knowledge of how he behaves, I couldn't today convict 218 00:13:15,559 --> 00:13:18,240 Speaker 5: beyond a reasonable doubt. Michael Cohen is just such a 219 00:13:18,280 --> 00:13:21,480 Speaker 5: problematic figure, and in this own cross I was just 220 00:13:21,600 --> 00:13:24,679 Speaker 5: waiting to see somebody who was above board, didn't step 221 00:13:24,679 --> 00:13:26,960 Speaker 5: and it didn't lie, didn't end up getting kind of 222 00:13:27,240 --> 00:13:29,679 Speaker 5: hostile and pushing back in some of these challenges, and 223 00:13:29,679 --> 00:13:32,240 Speaker 5: it's it's hard for me to believe him when he's 224 00:13:32,280 --> 00:13:35,040 Speaker 5: misrepresenting something as fundamental as having wanted a job in 225 00:13:35,080 --> 00:13:35,720 Speaker 5: the White House. 226 00:13:36,520 --> 00:13:38,599 Speaker 3: Jojo in the live chat before we get on to 227 00:13:38,800 --> 00:13:40,760 Speaker 3: Michael Cohen and all his lying and the fact that 228 00:13:40,840 --> 00:13:44,000 Speaker 3: CNN is not even buying this propaganda. Thank you for 229 00:13:44,000 --> 00:13:46,880 Speaker 3: the Rumble Rant tip. One hundred percent of what we 230 00:13:46,920 --> 00:13:49,320 Speaker 3: get in the Rumble Rants goes to building out this 231 00:13:49,400 --> 00:13:51,480 Speaker 3: studio and improving this show for you. It's a show 232 00:13:51,520 --> 00:13:54,120 Speaker 3: for we the people. It always will be. So thank 233 00:13:54,160 --> 00:13:57,520 Speaker 3: you for that. And if you're watching for the first time, 234 00:13:58,520 --> 00:14:01,360 Speaker 3: make sure you subscribe. Followed Battleground Live. We want you 235 00:14:01,400 --> 00:14:04,800 Speaker 3: in the trenches helping to save this country. But look, folks, 236 00:14:05,160 --> 00:14:08,840 Speaker 3: I don't care how blue New York City is you 237 00:14:08,880 --> 00:14:11,800 Speaker 3: hear Alyssa Farah Griffin on with Jake Tapper. They're talking 238 00:14:11,840 --> 00:14:16,200 Speaker 3: about how disastrous Michael Cohen's testimony is, how it doesn't 239 00:14:16,200 --> 00:14:20,320 Speaker 3: seem to be working at all. I mean this to me, Look, 240 00:14:20,320 --> 00:14:23,000 Speaker 3: I don't have a crystal ball. I know it's in 241 00:14:23,040 --> 00:14:26,320 Speaker 3: a deep blue city. To me, I feel like, what's 242 00:14:26,360 --> 00:14:28,320 Speaker 3: going to end up happening is jury's going to be hung. 243 00:14:30,560 --> 00:14:32,760 Speaker 3: I don't see. I think this trial is done. But 244 00:14:32,840 --> 00:14:36,000 Speaker 3: Michael Cohen, all the lies that this dude is told 245 00:14:36,080 --> 00:14:38,840 Speaker 3: it shouldn't surprise any of us. He lied to Congress 246 00:14:38,880 --> 00:14:42,840 Speaker 3: in seventeen, he lied to the Office of Special Counsel, 247 00:14:42,920 --> 00:14:44,680 Speaker 3: He lied to the FBI, He. 248 00:14:44,720 --> 00:14:45,880 Speaker 1: Lied to Judge Polly. 249 00:14:45,960 --> 00:14:47,880 Speaker 3: He lied by a mission to his wife about the 250 00:14:48,160 --> 00:14:51,000 Speaker 3: Helock loan that he supposedly took out the payoff Stormy 251 00:14:51,040 --> 00:14:53,920 Speaker 3: Daniels without Trump knowing. He lied about asking for a 252 00:14:53,960 --> 00:14:56,920 Speaker 3: pre pardon through his lawyers. He lied about Castello being 253 00:14:56,960 --> 00:14:59,600 Speaker 3: his lawyer. He lied about meeting with Alvin Bragg. The 254 00:14:59,640 --> 00:15:03,520 Speaker 3: guy used AI to put together a law brief, and 255 00:15:03,560 --> 00:15:07,440 Speaker 3: the AI actually fabricated cases that he submitted to an 256 00:15:07,480 --> 00:15:11,680 Speaker 3: actual court. I mean, lawyers have been sanctioned for far, 257 00:15:11,840 --> 00:15:17,600 Speaker 3: far less, and now Democrat officials, things are so bad 258 00:15:17,680 --> 00:15:21,200 Speaker 3: in their base. The base decay is so bad. They're 259 00:15:21,200 --> 00:15:24,400 Speaker 3: in such a precarious spot. They're out there they're talking 260 00:15:24,400 --> 00:15:28,760 Speaker 3: about now, actual elected official Democrats are out there talking 261 00:15:28,880 --> 00:15:35,040 Speaker 3: now on conservative networks about the possibility of canceling the DNC. 262 00:15:35,280 --> 00:15:37,480 Speaker 3: I mean, this is absolutely crazy. Listen to this. 263 00:15:37,640 --> 00:15:39,000 Speaker 6: Well, let me start by saying Brett that I think 264 00:15:39,040 --> 00:15:42,360 Speaker 6: President Biden has done a very good job of supporting 265 00:15:42,400 --> 00:15:45,080 Speaker 6: our ally and friend Israel. I think he made a misstep, 266 00:15:45,360 --> 00:15:49,840 Speaker 6: of course last week withholding some arm shipments, but I'm 267 00:15:49,960 --> 00:15:53,840 Speaker 6: very pleased with his support. Clearly, young progressives are dismayed, 268 00:15:54,360 --> 00:15:56,440 Speaker 6: and frankly, I think now the President has kind of 269 00:15:56,440 --> 00:15:58,880 Speaker 6: offended those on both sides of this issue, but he 270 00:15:58,960 --> 00:16:01,600 Speaker 6: can recapture that. You believe he's principled in his support 271 00:16:01,640 --> 00:16:04,560 Speaker 6: for Israel. But I'm afraid that this is looking awfully 272 00:16:04,600 --> 00:16:07,520 Speaker 6: like nineteen sixty eight, with a lot of anger and 273 00:16:07,680 --> 00:16:11,040 Speaker 6: angst and disenfranchisement that I think are going to play 274 00:16:11,040 --> 00:16:13,920 Speaker 6: out on TV this summer and it's going to be 275 00:16:13,960 --> 00:16:16,560 Speaker 6: awfully contentious. So Times Correct. 276 00:16:16,440 --> 00:16:19,360 Speaker 1: Was in Chicago the Democratic Convention. You think he could 277 00:16:19,360 --> 00:16:20,080 Speaker 1: look a little like that. 278 00:16:21,200 --> 00:16:23,200 Speaker 6: I think it can, And frankly, I think it would 279 00:16:23,200 --> 00:16:25,040 Speaker 6: be in the best interest of the Democratic Party to 280 00:16:25,080 --> 00:16:28,280 Speaker 6: forego the convention this year and focus on campaigning, because 281 00:16:28,320 --> 00:16:30,680 Speaker 6: I don't see anyway it can be a creedive to 282 00:16:30,720 --> 00:16:32,440 Speaker 6: the mission of winning the next election. 283 00:16:35,320 --> 00:16:39,760 Speaker 3: Hid Biden at all costs. There's going to be Hella 284 00:16:39,920 --> 00:16:43,680 Speaker 3: protests in Chicago. They want Biden to run to the 285 00:16:43,720 --> 00:16:46,560 Speaker 3: basement again. That is one hundred percent true, and that's 286 00:16:46,600 --> 00:16:50,520 Speaker 3: why it's critically important for when Trump gets on this stage, 287 00:16:50,560 --> 00:16:53,040 Speaker 3: he's not just going to be debating Joe Biden. He's 288 00:16:53,080 --> 00:16:55,680 Speaker 3: going to be in the first debate on CNN. He's 289 00:16:55,720 --> 00:16:59,160 Speaker 3: walking into hostile territory. He's going to be debating Monica 290 00:16:59,240 --> 00:17:01,920 Speaker 3: Lewinsky's Boyfrid and Jake Tapper, and he's also going to 291 00:17:01,960 --> 00:17:04,600 Speaker 3: be debating Dana Bash and they are gonna do everything 292 00:17:04,640 --> 00:17:07,320 Speaker 3: that they can to fly cover for Joe Biden on 293 00:17:07,359 --> 00:17:09,680 Speaker 3: that stage. So the best thing that Donald Trump can 294 00:17:09,720 --> 00:17:13,960 Speaker 3: do is just be cool, calm, collected. Joe Biden is 295 00:17:14,000 --> 00:17:16,560 Speaker 3: gonna be shot up with so many drugs. He's gonna 296 00:17:16,560 --> 00:17:19,960 Speaker 3: sound angry, he's gonna slur his words. He's there's gonna 297 00:17:19,960 --> 00:17:23,160 Speaker 3: be word salad all over the place jet And frankly, 298 00:17:23,359 --> 00:17:25,680 Speaker 3: when you look at that, you know people are talking 299 00:17:25,720 --> 00:17:27,520 Speaker 3: about how they're gonna be able to cut off Mike's 300 00:17:27,520 --> 00:17:29,360 Speaker 3: and that's not gonna be good for Donald Trump. I'm 301 00:17:29,359 --> 00:17:32,840 Speaker 3: just telling you, the less Donald Trump talks in this debate, 302 00:17:33,640 --> 00:17:39,520 Speaker 3: the better, because Biden cannot string together a coherent sentence. 303 00:17:39,800 --> 00:17:42,800 Speaker 3: So if the moderators are cutting off, you know, say, 304 00:17:42,800 --> 00:17:46,400 Speaker 3: Trump's Mike, I'm not sure how that hurts him because 305 00:17:46,440 --> 00:17:48,159 Speaker 3: he doesn't even have to All he has to do 306 00:17:48,240 --> 00:17:51,000 Speaker 3: is cite facts. He doesn't have to do anything. And 307 00:17:51,040 --> 00:17:53,760 Speaker 3: I'm telling you, look this from the Associated Press. If 308 00:17:53,760 --> 00:17:55,920 Speaker 3: you watch the show yesterday, I told you the same 309 00:17:56,000 --> 00:17:59,800 Speaker 3: thing the Associated Press headline hardly a conservative outlet. In fact, 310 00:18:00,080 --> 00:18:02,880 Speaker 3: about as far left as you can possibly imagine. Biden 311 00:18:02,960 --> 00:18:04,360 Speaker 3: Trump set two debates. 312 00:18:04,400 --> 00:18:04,919 Speaker 1: Now listen. 313 00:18:05,720 --> 00:18:09,440 Speaker 3: The swiftness with which the matchups came together reflects how 314 00:18:09,480 --> 00:18:12,760 Speaker 3: each of the two unpopular candidates thinks he can get 315 00:18:12,800 --> 00:18:15,120 Speaker 3: the better of his opponent and a head to head showdown. 316 00:18:15,400 --> 00:18:18,880 Speaker 3: Trump and his team are convinced the debates will exacerbate 317 00:18:19,000 --> 00:18:24,720 Speaker 3: voters concerns about Biden's age incompetence, while Biden believes listen 318 00:18:24,760 --> 00:18:29,840 Speaker 3: to this, while Biden's team believes Trump's often incendiary rhetoric 319 00:18:30,040 --> 00:18:33,040 Speaker 3: will remind voters of why they voted him out of 320 00:18:33,040 --> 00:18:37,399 Speaker 3: the White House four years ago. So obviously, Biden and 321 00:18:37,440 --> 00:18:40,720 Speaker 3: his team are setting a trap for Trump. They're hoping 322 00:18:40,760 --> 00:18:43,119 Speaker 3: that he goes off the rails. The best thing that 323 00:18:43,160 --> 00:18:46,400 Speaker 3: Trump can do is exactly how he acted in front 324 00:18:46,400 --> 00:18:50,160 Speaker 3: of Caitlin Collins on CNN the last time he was there, 325 00:18:50,200 --> 00:18:52,719 Speaker 3: when there was a live studio audience. By the end 326 00:18:52,800 --> 00:18:55,920 Speaker 3: of that time his time on the stage, the CNN 327 00:18:56,000 --> 00:19:00,000 Speaker 3: audience was actually laughing at Trump and they didn't really 328 00:19:00,119 --> 00:19:02,560 Speaker 3: like Caitlin Collins. Okay, so that's my advice to the 329 00:19:02,560 --> 00:19:05,240 Speaker 3: Trump Team. I want to bring on my friend Brian 330 00:19:05,280 --> 00:19:10,200 Speaker 3: Dean Wright. We're going to talk about this Texas barge thing. Brian, welcome, 331 00:19:10,560 --> 00:19:11,960 Speaker 3: Glad to have you back, my friend. 332 00:19:13,080 --> 00:19:13,600 Speaker 2: Good to be here. 333 00:19:13,640 --> 00:19:13,880 Speaker 1: Brother. 334 00:19:14,200 --> 00:19:16,280 Speaker 3: And let me tell you, first of all, I take 335 00:19:16,359 --> 00:19:19,119 Speaker 3: issue with something here. You come on to my show 336 00:19:19,800 --> 00:19:22,600 Speaker 3: and somehow you have better facial hair than me. This 337 00:19:22,680 --> 00:19:25,639 Speaker 3: is not This is not okay. I'm though supposed I'm 338 00:19:25,680 --> 00:19:29,200 Speaker 3: supposed to have the monopoly on the operator facial hair 339 00:19:29,200 --> 00:19:29,640 Speaker 3: on this show. 340 00:19:29,720 --> 00:19:31,200 Speaker 2: Got it? Can you give me something? You got the 341 00:19:31,200 --> 00:19:33,080 Speaker 2: beautiful face and beautiful head of hair, Give me give 342 00:19:33,119 --> 00:19:35,480 Speaker 2: me the mustache. One thing. 343 00:19:35,720 --> 00:19:40,480 Speaker 3: God, You're not anybody I can't one at all. Look 344 00:19:40,480 --> 00:19:43,000 Speaker 3: at you dressed up all spiffy. You got a date 345 00:19:43,080 --> 00:19:44,840 Speaker 3: or something that I don't know about. What's going on? 346 00:19:46,440 --> 00:19:48,760 Speaker 2: A funeral? Who knows? God, I gotta you never know. 347 00:19:48,840 --> 00:19:51,000 Speaker 2: You know, it's like we're a tie. You never know. 348 00:19:51,480 --> 00:19:54,399 Speaker 3: You former CIA guys man, you never know what you're doing. 349 00:19:54,480 --> 00:19:56,840 Speaker 3: You know, you gotta blend in it all. Okay, So 350 00:19:56,960 --> 00:20:03,359 Speaker 3: listen this. This Pelican Island Bridge was struck by a 351 00:20:03,520 --> 00:20:06,359 Speaker 3: large barge caused by and it caused part of the 352 00:20:06,400 --> 00:20:10,159 Speaker 3: bridge to collapse and obviously caused an oil spill. The 353 00:20:10,240 --> 00:20:13,960 Speaker 3: extent of that oil spill, I don't know. I've actually 354 00:20:14,040 --> 00:20:15,680 Speaker 3: got video of it. Let me put it up here. 355 00:20:15,720 --> 00:20:18,320 Speaker 3: And for people who are who are listening, our friends 356 00:20:18,359 --> 00:20:21,200 Speaker 3: who are listening, what you're seeing is this bridge. There 357 00:20:21,240 --> 00:20:25,080 Speaker 3: are one hundred different pillars under there. There's no way 358 00:20:25,119 --> 00:20:28,200 Speaker 3: a barge of that size in any way could fit 359 00:20:28,320 --> 00:20:32,760 Speaker 3: under that bridge. How something like this could happen is 360 00:20:32,880 --> 00:20:35,960 Speaker 3: beyond me. And you know, I thought you're a perfect 361 00:20:35,960 --> 00:20:38,240 Speaker 3: person to talk about this, Brian, because one you're a 362 00:20:38,240 --> 00:20:42,040 Speaker 3: CIA operations officer. You understand our enemy capabilities, the enemies 363 00:20:42,040 --> 00:20:45,600 Speaker 3: of this country and their capabilities better than most. And 364 00:20:46,200 --> 00:20:48,840 Speaker 3: you know, in the wake of the bridge, the bridge 365 00:20:48,880 --> 00:20:51,800 Speaker 3: accident in Baltimore, And by the way, when I saw 366 00:20:51,840 --> 00:20:55,240 Speaker 3: that happen, the FBI within the I'm not even exaggerating, man, 367 00:20:55,320 --> 00:20:58,240 Speaker 3: within the first five minutes they rule out terrorism and 368 00:20:58,280 --> 00:21:00,280 Speaker 3: I'm like, wait a second, Okay, that's a red live 369 00:21:00,400 --> 00:21:00,679 Speaker 3: for me. 370 00:21:01,280 --> 00:21:05,080 Speaker 1: So what do you think about all this, my friend? 371 00:21:05,200 --> 00:21:08,240 Speaker 2: So, what I think we're seeing is the beginning of 372 00:21:08,280 --> 00:21:12,800 Speaker 2: an adversary, probably the Chinese attacking this country through some 373 00:21:12,840 --> 00:21:16,600 Speaker 2: initial testing of their cyber a capabilities. So One of 374 00:21:16,640 --> 00:21:18,600 Speaker 2: the things that we got this week was a report 375 00:21:18,600 --> 00:21:23,280 Speaker 2: out of Europe, a Slovakian intel agency effectively, that looked 376 00:21:23,320 --> 00:21:28,600 Speaker 2: at the Chinese some cyber hacking of cargo companies in 377 00:21:28,640 --> 00:21:31,720 Speaker 2: places like the Netherlands and Greece as well as Sweden. 378 00:21:32,160 --> 00:21:34,439 Speaker 2: And what they're finding is that the Chinese are actually 379 00:21:34,520 --> 00:21:38,040 Speaker 2: using a trojan malware and taking access of both the 380 00:21:38,119 --> 00:21:42,399 Speaker 2: corporate systems as well as commanding control of the cargo 381 00:21:42,480 --> 00:21:46,520 Speaker 2: ships themselves. So it's not just a computer system inside 382 00:21:46,560 --> 00:21:49,640 Speaker 2: corporate headquarters back in Greece or the Netherlands, but rather 383 00:21:49,920 --> 00:21:53,080 Speaker 2: on the ships themselves. So why would the Chinese be 384 00:21:53,119 --> 00:21:57,160 Speaker 2: doing this. It's a hacking group called Mustang Panda. So 385 00:21:57,240 --> 00:22:00,960 Speaker 2: why are the guys at Mustang Panda excuse me doing this? Well, 386 00:22:02,040 --> 00:22:03,840 Speaker 2: they're trying to work with Beijing to make sure that 387 00:22:03,840 --> 00:22:06,680 Speaker 2: they can get access to our critical systems. And we've 388 00:22:06,680 --> 00:22:09,240 Speaker 2: seen this over the past six months to year that 389 00:22:09,440 --> 00:22:13,320 Speaker 2: the Chinese government is moving away from collection of intellectual property. 390 00:22:13,680 --> 00:22:16,320 Speaker 2: So they're not just hacking our companies anymore, but what 391 00:22:16,359 --> 00:22:20,320 Speaker 2: they're looking to do is burrow themselves into our critical infrastructure, 392 00:22:20,720 --> 00:22:25,520 Speaker 2: whether that be water, electricity, cell phones, ports, pipelines and yes, 393 00:22:26,320 --> 00:22:29,480 Speaker 2: cargo ships. So to do that, or the reason that 394 00:22:29,480 --> 00:22:31,200 Speaker 2: they're doing that is in the run up to a 395 00:22:31,280 --> 00:22:35,600 Speaker 2: war with Taiwan. When China invades Taiwan, they're going to 396 00:22:35,640 --> 00:22:37,879 Speaker 2: need to knock us out for a few days or 397 00:22:37,880 --> 00:22:40,200 Speaker 2: a few weeks, because otherwise we are going to likely 398 00:22:40,240 --> 00:22:43,199 Speaker 2: respond to tie pace calls for help. So if they 399 00:22:43,200 --> 00:22:46,480 Speaker 2: can cause panic, if they can induce chaos in this country, 400 00:22:46,960 --> 00:22:48,480 Speaker 2: then they're going to do that in the hours of 401 00:22:48,560 --> 00:22:51,320 Speaker 2: days before they invade that we will be so caught 402 00:22:51,400 --> 00:22:55,160 Speaker 2: up in that chaos that the successful or the likelihood 403 00:22:55,200 --> 00:22:58,520 Speaker 2: of success in their invasion of Taiwan goes up. So 404 00:22:58,600 --> 00:23:01,960 Speaker 2: that's how these bars attacks I think fit into the 405 00:23:01,960 --> 00:23:05,320 Speaker 2: broader picture of these groups like Mustang Panda. There's another 406 00:23:05,359 --> 00:23:09,199 Speaker 2: one called volt type foon. These groups are directly related 407 00:23:09,200 --> 00:23:13,399 Speaker 2: to the CCP. They're acting as their interlockers around the world, 408 00:23:13,520 --> 00:23:16,800 Speaker 2: hacking into these systems to gain control of our critical system. 409 00:23:16,880 --> 00:23:20,080 Speaker 2: So that's the context for the Chinese are doing this 410 00:23:20,240 --> 00:23:25,000 Speaker 2: latest barge attack as it were in Texas. It fits 411 00:23:25,040 --> 00:23:28,639 Speaker 2: the pattern. Is it a cyber attack? Do we know 412 00:23:28,680 --> 00:23:31,639 Speaker 2: that yet? So far we do not. But the question 413 00:23:32,119 --> 00:23:36,000 Speaker 2: is now is get these patterns, we would expect to 414 00:23:36,000 --> 00:23:38,919 Speaker 2: see that the Chinese are going to try out or 415 00:23:39,040 --> 00:23:42,679 Speaker 2: test their hacking capabilities. You don't test the day that 416 00:23:42,720 --> 00:23:45,160 Speaker 2: you want to launch your invasion. It's Taiwan, You're gonna 417 00:23:45,160 --> 00:23:47,760 Speaker 2: be testing that many months beforehand. And so that's why 418 00:23:47,800 --> 00:23:50,439 Speaker 2: I think when we see the other barge issues or 419 00:23:50,600 --> 00:23:53,800 Speaker 2: cargo ship container issues like we did in Baltimore, which 420 00:23:53,840 --> 00:23:55,400 Speaker 2: initially we thought, well. 421 00:23:55,280 --> 00:23:58,680 Speaker 3: Maybe that's listen to this. Like last week a barge 422 00:23:58,680 --> 00:24:01,120 Speaker 3: struck the Fort Madison Bridge. Middle of April twenty six, 423 00:24:01,200 --> 00:24:03,280 Speaker 3: barges broke loose and struck a bridge on the Ohio 424 00:24:03,359 --> 00:24:06,600 Speaker 3: River that's in my neck of the woods in Pittsburgh. 425 00:24:06,680 --> 00:24:08,879 Speaker 3: Bridge in Oklahoma was struck by a barge at the 426 00:24:08,960 --> 00:24:11,160 Speaker 3: end of March. End of March Bridge Spontaneo. I mean 427 00:24:11,320 --> 00:24:14,639 Speaker 3: this is like so barges sometimes barges break loose, but 428 00:24:14,720 --> 00:24:18,440 Speaker 3: it does seem like I mean, here's the thing, Brian Lee, 429 00:24:18,800 --> 00:24:22,520 Speaker 3: infrastructure warfare. I mean, look, I'm a knuckle dragger, but 430 00:24:23,080 --> 00:24:28,320 Speaker 3: when we do an analysis of enemy terrain, we look 431 00:24:28,359 --> 00:24:31,440 Speaker 3: at key terrain obviously that we would want to occupy 432 00:24:31,760 --> 00:24:34,880 Speaker 3: and critical enemy infrastructure that we would want to destroy. 433 00:24:35,280 --> 00:24:38,080 Speaker 3: So this is a re infrastructure warfare is real. 434 00:24:39,600 --> 00:24:43,120 Speaker 2: Amen, And we also now it's we can combine two 435 00:24:43,119 --> 00:24:46,000 Speaker 2: things at this point. One, we know your background, We 436 00:24:46,080 --> 00:24:48,199 Speaker 2: know what you're saying to be absolutely true. That is 437 00:24:48,440 --> 00:24:52,240 Speaker 2: very clear in warfare modern and otherwise. We also have 438 00:24:52,320 --> 00:24:57,480 Speaker 2: these very strange series of accidents involving these cargo ships 439 00:24:57,560 --> 00:24:59,960 Speaker 2: or barges, et cetera. And now we have this report 440 00:25:00,160 --> 00:25:02,640 Speaker 2: out of Europe that's confirming that, in fact, the Chinese 441 00:25:02,720 --> 00:25:06,280 Speaker 2: are hacking into these systems, these cargo ship container systems, 442 00:25:06,480 --> 00:25:09,080 Speaker 2: both in terms of corporate headquarters and the ships themselves 443 00:25:09,400 --> 00:25:12,560 Speaker 2: taking command and control. So you put all those two together, 444 00:25:12,640 --> 00:25:15,040 Speaker 2: what does that tell you, Well, it suggests with medium 445 00:25:15,040 --> 00:25:17,320 Speaker 2: to high confidence that the Chinese are trying to take 446 00:25:17,359 --> 00:25:21,680 Speaker 2: control over critical infrastructure to include our vessels. And some 447 00:25:21,760 --> 00:25:25,879 Speaker 2: of these accidents aren't probably accidents at all. Not all 448 00:25:25,920 --> 00:25:28,840 Speaker 2: of them accidents happened. Humans are silly people. We do 449 00:25:29,440 --> 00:25:31,679 Speaker 2: dumb things sometimes, like you know, maybe that one of 450 00:25:31,680 --> 00:25:33,840 Speaker 2: these guys had one too many cocktails and he screwed 451 00:25:33,880 --> 00:25:36,240 Speaker 2: up and hit a bridge. Fine, but that doesn't explain 452 00:25:36,280 --> 00:25:37,879 Speaker 2: all of them, especially when you look at the broader 453 00:25:37,920 --> 00:25:42,280 Speaker 2: context of this. Mustang panned the group or volt typhoon. Again, 454 00:25:42,640 --> 00:25:46,560 Speaker 2: we are getting very very clear indicators that the lights 455 00:25:46,560 --> 00:25:48,800 Speaker 2: are flashy, not just red, but a brighter red and 456 00:25:49,200 --> 00:25:53,159 Speaker 2: more consistently loud, saying we got a problem, and the 457 00:25:53,240 --> 00:25:56,320 Speaker 2: Chinese are probably looking to wire us, not just for 458 00:25:56,400 --> 00:25:59,679 Speaker 2: the short term to cause problems in this country, but 459 00:26:00,000 --> 00:26:01,680 Speaker 2: in the run up to a war. So that tells 460 00:26:01,720 --> 00:26:04,520 Speaker 2: me that a war is likely to happen sooner rather 461 00:26:04,560 --> 00:26:06,560 Speaker 2: than later in terms of the Chinese invading Taiwan. 462 00:26:07,160 --> 00:26:08,359 Speaker 1: So what do we do, Brian? 463 00:26:09,040 --> 00:26:11,639 Speaker 3: Because I talk a lot in the show about the 464 00:26:11,720 --> 00:26:14,760 Speaker 3: fact that this country has not sufficiently evolved our force. 465 00:26:14,840 --> 00:26:16,520 Speaker 3: You know, when I joined in the wake of nine 466 00:26:16,560 --> 00:26:21,280 Speaker 3: to eleven, we evolved our force away from facing conventional threats, 467 00:26:21,400 --> 00:26:24,720 Speaker 3: preferring instead to focus on brigade combat teams and primarily 468 00:26:24,920 --> 00:26:28,359 Speaker 3: asymmetric insurgent threats, more compartmentalized units that could do that. 469 00:26:28,800 --> 00:26:32,200 Speaker 3: For example, how did that manifest itself for US and 470 00:26:32,440 --> 00:26:35,359 Speaker 3: light infantry battalions. We no longer had Stinger missiles that 471 00:26:35,359 --> 00:26:37,280 Speaker 3: were directly attached to him, because we knew that our 472 00:26:37,400 --> 00:26:40,280 Speaker 3: enemy didn't have rotary wing aircraft, you know, so we 473 00:26:40,320 --> 00:26:42,320 Speaker 3: didn't need it, discarded it. We wanted to be lighter 474 00:26:42,359 --> 00:26:45,280 Speaker 3: on our feet, but now the trend is we're going 475 00:26:45,320 --> 00:26:47,600 Speaker 3: back to facing more conventional threats. When you look at 476 00:26:47,640 --> 00:26:50,240 Speaker 3: what's happening in Russia and Ukraine, that certainly feels like 477 00:26:50,280 --> 00:26:53,640 Speaker 3: a conventional war, although you know, drones are a component 478 00:26:53,680 --> 00:26:56,919 Speaker 3: that I've never faced before. But China is absolutely a 479 00:26:56,960 --> 00:27:01,080 Speaker 3: conventional threat. And it doesn't feel like we've evolved our 480 00:27:01,160 --> 00:27:06,040 Speaker 3: force back to being able to combat a conventional force yet. 481 00:27:06,119 --> 00:27:09,000 Speaker 3: I mean, it just feels like, I don't know, man, 482 00:27:09,040 --> 00:27:12,480 Speaker 3: it just feels like a very I mean, for lack 483 00:27:12,520 --> 00:27:15,120 Speaker 3: of a better word, scary time, and our leaders. When 484 00:27:15,119 --> 00:27:17,640 Speaker 3: you combine the feeling to the fact that our leaders 485 00:27:17,720 --> 00:27:20,359 Speaker 3: just don't feel up to the task, it's worrisome. 486 00:27:21,359 --> 00:27:23,040 Speaker 2: I think it's more than that. In fact, about six 487 00:27:23,040 --> 00:27:26,040 Speaker 2: months ago, there was an exercise that was done in 488 00:27:26,600 --> 00:27:29,560 Speaker 2: southern California where we have the Marine Corps try to 489 00:27:29,600 --> 00:27:34,159 Speaker 2: respond to a hypothetical attack by what we note that 490 00:27:34,160 --> 00:27:37,320 Speaker 2: the Chinese have and the Marines were unable to stop it, 491 00:27:37,880 --> 00:27:41,280 Speaker 2: in no small part because we also have statements by 492 00:27:41,480 --> 00:27:45,040 Speaker 2: some of the Marine Corps commanders in the South Pacific 493 00:27:45,240 --> 00:27:47,639 Speaker 2: that they don't have anti drome technologies to shoot that 494 00:27:47,640 --> 00:27:50,160 Speaker 2: stuff down. So we are pivoting to a different era 495 00:27:50,240 --> 00:27:52,960 Speaker 2: of warfare that is not only the conventional stuff, but 496 00:27:53,240 --> 00:27:56,960 Speaker 2: has also been infused with this drone and AI infused 497 00:27:57,040 --> 00:28:01,639 Speaker 2: drone warfare, the swarm warfare. That is a new game 498 00:28:01,760 --> 00:28:05,359 Speaker 2: change and reality for militaries all across the world. And 499 00:28:05,440 --> 00:28:08,080 Speaker 2: we're scrambling like a lot of other conventional militaries. Or 500 00:28:08,640 --> 00:28:10,919 Speaker 2: the smaller you are right now, the bigger punch you have, 501 00:28:11,119 --> 00:28:13,800 Speaker 2: because you can actually out fox your adversary who might 502 00:28:13,800 --> 00:28:16,239 Speaker 2: be spending billions or trillions of dollars, but you can 503 00:28:16,280 --> 00:28:18,719 Speaker 2: do a lot of damage with just some couple thousand 504 00:28:18,720 --> 00:28:21,679 Speaker 2: dollars worth of drones. And we're seeing that in Ukraine, 505 00:28:22,040 --> 00:28:24,600 Speaker 2: and we're seeing that in Africa actually in some of 506 00:28:24,600 --> 00:28:28,199 Speaker 2: those conflicts. So, yeah, you're right, we need to pivot. 507 00:28:28,240 --> 00:28:30,879 Speaker 2: But I'm not sure we even quite know what the 508 00:28:30,880 --> 00:28:32,760 Speaker 2: threat is fully and how to respond to it. 509 00:28:33,400 --> 00:28:35,960 Speaker 3: I know, I mean, all you could do is laugh 510 00:28:36,040 --> 00:28:38,480 Speaker 3: because our leaders are just so inept. And it certainly 511 00:28:38,520 --> 00:28:41,000 Speaker 3: feels like, at least on the military side of things, 512 00:28:41,040 --> 00:28:43,960 Speaker 3: when you see people like General Millie who are on 513 00:28:44,040 --> 00:28:46,920 Speaker 3: Capitol Hill and are talking about wanting to learn more 514 00:28:46,920 --> 00:28:49,320 Speaker 3: about white rage, and I'm thinking to myself, maybe you 515 00:28:49,320 --> 00:28:52,480 Speaker 3: should focus more on the withdrawal from Afghanistan. And after 516 00:28:52,560 --> 00:28:55,360 Speaker 3: he's three months, after he's on Capitol Hill, we suffer 517 00:28:55,480 --> 00:28:58,520 Speaker 3: one of the worst surrenders in this country since Vietnam. 518 00:28:58,600 --> 00:29:01,800 Speaker 3: It's like, what the hell are our leaders doing? Brian, Yeah, 519 00:29:02,800 --> 00:29:04,480 Speaker 3: what do you make of all of this? Do you 520 00:29:04,560 --> 00:29:06,840 Speaker 3: feel like our leaders are up to task. I'm sure 521 00:29:06,840 --> 00:29:09,560 Speaker 3: that you saw, or maybe you didn't, but this video 522 00:29:09,640 --> 00:29:12,760 Speaker 3: of this navy guy that was leaked talking about, hey, like, 523 00:29:12,800 --> 00:29:15,280 Speaker 3: when the first missile hits DEI is gonna go away, which, 524 00:29:15,320 --> 00:29:16,880 Speaker 3: by the way, I don't know why they leaked that 525 00:29:17,000 --> 00:29:19,240 Speaker 3: video on that guy. He said he was a Democrat, 526 00:29:19,280 --> 00:29:22,800 Speaker 3: but he seemed like he was pro America. Didn't say 527 00:29:22,800 --> 00:29:25,480 Speaker 3: anything that was crazy inflammatory to me. I don't know 528 00:29:25,480 --> 00:29:27,480 Speaker 3: why we're leaking it trying to hurt one of our own, 529 00:29:27,560 --> 00:29:31,520 Speaker 3: but he seemed to express concern about the fact that 530 00:29:31,600 --> 00:29:34,080 Speaker 3: DEI is a waste of time. But hey, if you 531 00:29:34,120 --> 00:29:36,800 Speaker 3: know what hits the fan, we're gonna get away from 532 00:29:36,840 --> 00:29:39,080 Speaker 3: that real quick. But I just don't know how you 533 00:29:39,240 --> 00:29:42,000 Speaker 3: do it, I mean without suffering serious losses. 534 00:29:42,040 --> 00:29:45,120 Speaker 2: First, Yeah, well, I think that you probably could ask 535 00:29:45,200 --> 00:29:46,760 Speaker 2: some of the guys in World War Two in the 536 00:29:46,840 --> 00:29:49,480 Speaker 2: run up to Japan's bombing to Pearl Harbor, you know, 537 00:29:50,080 --> 00:29:51,840 Speaker 2: were we ready for that? Do we know how to 538 00:29:51,840 --> 00:29:53,760 Speaker 2: respond to? Answers? No, We got punched in the face 539 00:29:54,080 --> 00:29:56,600 Speaker 2: and a lot of people died. And I think that 540 00:29:56,600 --> 00:29:58,480 Speaker 2: that's what's coming. I think we're gonna have a pretty 541 00:29:58,480 --> 00:30:00,480 Speaker 2: horrific attack that's going to shock the consence of the 542 00:30:00,520 --> 00:30:02,720 Speaker 2: country and the military, and there's going to be a 543 00:30:02,720 --> 00:30:05,720 Speaker 2: lot of you know, plans that about, hey, how would 544 00:30:05,720 --> 00:30:07,920 Speaker 2: we respond, and then you get punched in the face 545 00:30:07,920 --> 00:30:10,560 Speaker 2: and you're like, well, actually, we don't know how to respond, 546 00:30:10,640 --> 00:30:11,880 Speaker 2: and we got to figure it out on the fly. 547 00:30:12,200 --> 00:30:13,360 Speaker 2: And that's when you hope to have a really good 548 00:30:13,440 --> 00:30:17,440 Speaker 2: leadership rise to the top. That it's innovative that has 549 00:30:17,520 --> 00:30:21,320 Speaker 2: been there because of their skill, because of merit, and 550 00:30:21,400 --> 00:30:23,320 Speaker 2: not because of the color of their skin or their 551 00:30:23,360 --> 00:30:27,560 Speaker 2: sexual orientation or any other immutable characteristic that ultimately is irrelevant. 552 00:30:27,560 --> 00:30:29,880 Speaker 2: You want smart people when the really bad stuff and 553 00:30:29,920 --> 00:30:32,640 Speaker 2: surprising stuff happens, so that they can bring that dexterity 554 00:30:32,680 --> 00:30:35,200 Speaker 2: to the fight that I think is the fundamental problem 555 00:30:35,200 --> 00:30:37,840 Speaker 2: that this country faces in our leadership. From top to bottom. 556 00:30:38,200 --> 00:30:40,360 Speaker 2: You know, Miliye is a great example. This guy's talking 557 00:30:40,360 --> 00:30:43,440 Speaker 2: about white rage or white supremacy in the national military. 558 00:30:43,600 --> 00:30:46,560 Speaker 2: The data actually showed the opposite, by the way, last 559 00:30:46,600 --> 00:30:50,080 Speaker 2: Spring and Summer Ran Corporation, which is a left leaning outfit, 560 00:30:50,480 --> 00:30:53,040 Speaker 2: published the study that showed actually, in the veterans community, 561 00:30:53,280 --> 00:30:55,680 Speaker 2: it's five times more likely that a back of someone 562 00:30:55,720 --> 00:30:59,240 Speaker 2: will be a black nationalist than a white nationalist or supremacist. 563 00:30:59,480 --> 00:31:01,600 Speaker 2: Both numbers are quite small, by the way. I think 564 00:31:01,600 --> 00:31:04,320 Speaker 2: it's like zero point eight percent of white veterans you 565 00:31:04,400 --> 00:31:07,560 Speaker 2: have what they called white supremacists or white nationalists views. 566 00:31:07,720 --> 00:31:11,560 Speaker 2: We're around five percent of black veterans had those views. 567 00:31:11,600 --> 00:31:14,600 Speaker 2: So you're looking at just the data tell you that 568 00:31:14,680 --> 00:31:18,400 Speaker 2: the entire premise of some sort of crazy, you know, 569 00:31:18,520 --> 00:31:21,520 Speaker 2: radical right wing, the white supremacist stuff in the military, 570 00:31:21,560 --> 00:31:24,120 Speaker 2: it's just absurd. Milly knew that, he should have known it, 571 00:31:24,440 --> 00:31:25,960 Speaker 2: and now we have the data to prove that. But 572 00:31:26,000 --> 00:31:27,959 Speaker 2: of course the talking point has to be something different, 573 00:31:28,080 --> 00:31:30,360 Speaker 2: because we're in the middle of this Marxist revolution that's 574 00:31:30,400 --> 00:31:33,200 Speaker 2: really what's going on, and that is permeating into our military. 575 00:31:33,440 --> 00:31:35,840 Speaker 2: But the point is that you're making is correct. We 576 00:31:35,960 --> 00:31:38,080 Speaker 2: got to have really really smart people when it comes 577 00:31:38,080 --> 00:31:41,480 Speaker 2: to really really tough new challenges, and that means you 578 00:31:41,520 --> 00:31:43,600 Speaker 2: got to have the best folks there who are the smartest, 579 00:31:43,680 --> 00:31:47,240 Speaker 2: most flexible, And you ain't going to get that with THEEI, 580 00:31:47,320 --> 00:31:49,720 Speaker 2: because that's not what the focus is obviously. 581 00:31:50,200 --> 00:31:53,400 Speaker 3: Brian, can we shift gears? You talked about that Marxist revolution, 582 00:31:53,880 --> 00:31:58,360 Speaker 3: and you know, it seems to me that the CIA, well, 583 00:31:58,360 --> 00:32:01,800 Speaker 3: they've always been involved inpulation of media, and it seems 584 00:32:01,920 --> 00:32:04,640 Speaker 3: like the New York Times and the Washington Post especially 585 00:32:05,000 --> 00:32:06,880 Speaker 3: are all too willing to I mean, I could see 586 00:32:06,920 --> 00:32:08,800 Speaker 3: this stuff from a mile away, But the problem is 587 00:32:08,840 --> 00:32:11,720 Speaker 3: the vast majority of the American people probably can't what 588 00:32:11,840 --> 00:32:15,560 Speaker 3: looks to be just like, what are intelligence plants and 589 00:32:15,600 --> 00:32:20,400 Speaker 3: our media to shape public sentiment about say Ukraine for example? 590 00:32:20,880 --> 00:32:24,840 Speaker 3: And to what extent? Which this might be a direct 591 00:32:24,920 --> 00:32:27,520 Speaker 3: question or too direct of a question, but first of all, 592 00:32:27,680 --> 00:32:31,200 Speaker 3: does the CIA really still continue to manipulate media in 593 00:32:31,320 --> 00:32:36,800 Speaker 3: terms of developing narratives? And if so, why would they 594 00:32:36,840 --> 00:32:41,200 Speaker 3: be on board with what is essentially a Marxist color 595 00:32:41,240 --> 00:32:43,760 Speaker 3: revolution here in America. It seems like it does like 596 00:32:43,840 --> 00:32:45,400 Speaker 3: those two things aren't consonant. 597 00:32:46,040 --> 00:32:48,560 Speaker 2: Yeah, all right, so let's talk about what we can prove. 598 00:32:49,160 --> 00:32:52,640 Speaker 2: So we note that the CIA is absolutely putting stuff 599 00:32:52,920 --> 00:32:55,360 Speaker 2: that has to say the US intelligence community at large, 600 00:32:55,400 --> 00:32:58,720 Speaker 2: they're putting stuff in our media, in Western media, to 601 00:32:58,800 --> 00:33:01,800 Speaker 2: shape our views on foreign affairs. So we know that's 602 00:33:02,040 --> 00:33:05,880 Speaker 2: true because the Office of Director of National Intelligence, Avril Haines, 603 00:33:06,040 --> 00:33:09,240 Speaker 2: is the lead of that entity. She went on BBC 604 00:33:09,400 --> 00:33:12,280 Speaker 2: Radio BBC one in the early days of the conflict 605 00:33:12,280 --> 00:33:14,479 Speaker 2: in Ukraine. She sat down with the guy last name 606 00:33:14,520 --> 00:33:16,280 Speaker 2: of Fleming, who's one of the heads of the British 607 00:33:16,280 --> 00:33:19,240 Speaker 2: intel and they were talking about what they called the 608 00:33:19,280 --> 00:33:22,680 Speaker 2: pre bunking, which is they were taking our intelligence, whether 609 00:33:22,720 --> 00:33:25,440 Speaker 2: it was good or garbage, and they were putting it 610 00:33:25,480 --> 00:33:28,040 Speaker 2: out into the public sphere with the goal of influencing 611 00:33:28,080 --> 00:33:31,840 Speaker 2: hearts and minds inside of Russia, Russia's allies and then 612 00:33:31,920 --> 00:33:34,840 Speaker 2: ultimately stopping the war in Ukraine are otherwise throwing stand 613 00:33:34,880 --> 00:33:38,160 Speaker 2: in the gears of the Russian offensive. But what they 614 00:33:38,160 --> 00:33:42,000 Speaker 2: said was that didn't work, It didn't accomplish the propaganda goals. 615 00:33:42,040 --> 00:33:44,680 Speaker 2: But what they also added on the record, and you 616 00:33:44,680 --> 00:33:47,760 Speaker 2: could listen to them talk about this, is that their 617 00:33:47,800 --> 00:33:51,320 Speaker 2: propaganda did influence the hearts and the minds of people 618 00:33:51,360 --> 00:33:54,560 Speaker 2: in Europe and the United States. So they showed and 619 00:33:54,600 --> 00:33:56,880 Speaker 2: demonstrated that actually, it was really great to put this 620 00:33:56,920 --> 00:34:00,520 Speaker 2: propaganda out because it helped to sort of knoculate the 621 00:34:00,560 --> 00:34:05,480 Speaker 2: American and Western mind from any other Russian propaganda naturally, 622 00:34:05,520 --> 00:34:08,080 Speaker 2: but any other talking points that didn't fit what they 623 00:34:08,080 --> 00:34:09,080 Speaker 2: wanted the people to hear. 624 00:34:09,760 --> 00:34:10,640 Speaker 7: So that's provable. 625 00:34:10,800 --> 00:34:13,160 Speaker 2: We know that's the case, So we can now go 626 00:34:13,200 --> 00:34:15,040 Speaker 2: beyond that to say, okay, well, if we know that 627 00:34:15,040 --> 00:34:18,279 Speaker 2: in that case, they're putting out propaganda to influence hearts 628 00:34:18,280 --> 00:34:21,080 Speaker 2: and minds in this country a that is awful. I 629 00:34:21,080 --> 00:34:24,160 Speaker 2: thought we learned long ago that the intelligence community should 630 00:34:24,239 --> 00:34:28,759 Speaker 2: not do that. It's disastrous outcomes. It's it's like Egypt, Pakistan, 631 00:34:28,880 --> 00:34:32,399 Speaker 2: you know, some puppeteering country abroad that you wouldn't want 632 00:34:32,400 --> 00:34:32,880 Speaker 2: to be a part of. 633 00:34:33,239 --> 00:34:34,400 Speaker 1: So that's awful. 634 00:34:34,800 --> 00:34:37,279 Speaker 2: You combine that with the fact that we have Chuck 635 00:34:37,320 --> 00:34:38,960 Speaker 2: Schumer saying, as I think you and I have talked 636 00:34:38,960 --> 00:34:41,440 Speaker 2: about before, the CIA and other intel agencies have six 637 00:34:41,480 --> 00:34:43,600 Speaker 2: waves of soundy to get back at you. Okay, well, 638 00:34:43,640 --> 00:34:46,160 Speaker 2: now we have more public confirmation that the intel community 639 00:34:46,200 --> 00:34:48,200 Speaker 2: is doing some bad things in this country. So you 640 00:34:48,239 --> 00:34:51,840 Speaker 2: start putting together just the open, you know, overt, real 641 00:34:52,000 --> 00:34:55,759 Speaker 2: provable stuff, and all the conspiracies start to sound pretty reasonable, 642 00:34:55,920 --> 00:34:59,440 Speaker 2: pretty informed actually. So I think that that's important for 643 00:34:59,480 --> 00:35:04,520 Speaker 2: people to re that that it is happening. It's demonstrated. Uh, 644 00:35:04,560 --> 00:35:07,279 Speaker 2: and it's it's nightmarish for a republic. It's great if 645 00:35:07,280 --> 00:35:10,480 Speaker 2: you're you know, some corrupt, you know, banana republic, but 646 00:35:10,520 --> 00:35:13,400 Speaker 2: it's not great if you're a republic or a democratic 647 00:35:14,000 --> 00:35:17,160 Speaker 2: minded people. So it's real, it's happening. The propaganda's out there. 648 00:35:17,320 --> 00:35:20,000 Speaker 2: Why would the CIA do this? Why would the leadership 649 00:35:20,000 --> 00:35:23,520 Speaker 2: be on board with it? Every good organization can go 650 00:35:23,640 --> 00:35:26,840 Speaker 2: bad right when we know this, you start replacing the 651 00:35:26,840 --> 00:35:29,840 Speaker 2: top leadership with really really garbage leadership, like we have 652 00:35:29,880 --> 00:35:33,120 Speaker 2: seen that the CIA, for instance, over the years we 653 00:35:33,160 --> 00:35:36,719 Speaker 2: have had Obama, but also before we had guys who 654 00:35:36,840 --> 00:35:38,799 Speaker 2: like George Tennant back of the day under Bush. I 655 00:35:38,880 --> 00:35:42,880 Speaker 2: regret to say push forward until that wasn't true or real. 656 00:35:43,400 --> 00:35:46,120 Speaker 2: We have that example, we had a guy what was 657 00:35:46,160 --> 00:35:49,120 Speaker 2: his name, the ding Dong that was schlepping and hanging 658 00:35:49,120 --> 00:35:51,960 Speaker 2: out with this the gal given our top secret information 659 00:35:52,600 --> 00:35:55,080 Speaker 2: portrayals Patreus Portreas so we have that guy. 660 00:35:55,360 --> 00:35:55,440 Speaker 7: Uh. 661 00:35:55,560 --> 00:35:57,920 Speaker 2: You know, we have other leaders in more modern eras 662 00:35:58,360 --> 00:36:01,839 Speaker 2: who are very clearly in this leftist sort of ideology 663 00:36:02,400 --> 00:36:04,920 Speaker 2: that embrace that. And of course the most infamous is 664 00:36:05,160 --> 00:36:07,960 Speaker 2: John Brennan, who back in the old days, according to him, 665 00:36:08,239 --> 00:36:11,800 Speaker 2: he was a communist. He was affiliated or felt drawn 666 00:36:11,800 --> 00:36:14,560 Speaker 2: to the communist ideology. So, yeah, if you're gonna get 667 00:36:14,600 --> 00:36:16,640 Speaker 2: those guys what's called the seventh floor, that the top 668 00:36:16,719 --> 00:36:19,279 Speaker 2: leadership of the CIA, that's going to trickle down all 669 00:36:19,320 --> 00:36:21,279 Speaker 2: the way into hr By the way, and then they're 670 00:36:21,320 --> 00:36:24,239 Speaker 2: going to hire people who fit that same sort of 671 00:36:24,320 --> 00:36:28,120 Speaker 2: left the ideology. And over time, that's how you change 672 00:36:28,120 --> 00:36:30,759 Speaker 2: a culture. All the good people look around and they're like, 673 00:36:30,840 --> 00:36:32,880 Speaker 2: I don't fit here anymore. I'm gonna leave, and they do. 674 00:36:34,200 --> 00:36:36,280 Speaker 2: Or they're like, well, now I have to be really quiet, 675 00:36:36,320 --> 00:36:38,640 Speaker 2: and I can't speak what I actually believe to be true, 676 00:36:39,120 --> 00:36:41,280 Speaker 2: not necessarily even my own opinion, but even the facts 677 00:36:41,520 --> 00:36:44,760 Speaker 2: if those run contrary to this sort of more Marxist 678 00:36:44,840 --> 00:36:47,240 Speaker 2: way of viewing the world. I don't want to get fired. 679 00:36:47,280 --> 00:36:50,560 Speaker 2: I gotta pay for the mortgage, I got kids in college. Whatever. 680 00:36:51,000 --> 00:36:52,680 Speaker 2: And that's how you change a culture. That's how you 681 00:36:53,000 --> 00:36:56,920 Speaker 2: change an agency. That's how your leadership destroys the organization, 682 00:36:57,000 --> 00:36:58,280 Speaker 2: and that's what's happened at the CIA. 683 00:36:59,120 --> 00:37:01,320 Speaker 3: How do we get out of this? I mean because 684 00:37:01,360 --> 00:37:04,040 Speaker 3: I mean, you know, so let's just say Trump wins 685 00:37:04,560 --> 00:37:07,000 Speaker 3: and then he tries to fire the top twenty people 686 00:37:07,040 --> 00:37:10,080 Speaker 3: at every institution, which I think absolutely needs to happen. 687 00:37:10,080 --> 00:37:13,280 Speaker 3: Obama did it, certainly a president's prerogative to do, Brian, 688 00:37:13,840 --> 00:37:17,279 Speaker 3: but you know Trump does something like that, it'll be like, oh, 689 00:37:17,320 --> 00:37:21,440 Speaker 3: Trump's basically hitler. So look, I don't I think that, 690 00:37:21,719 --> 00:37:23,640 Speaker 3: you know, if he wins, I happen to believe he's 691 00:37:23,680 --> 00:37:27,520 Speaker 3: going to win. I I but but he's going to 692 00:37:27,600 --> 00:37:29,319 Speaker 3: have to have the wherewithal to do it. I think 693 00:37:29,360 --> 00:37:33,319 Speaker 3: he's ready to do it. But outside of just mass firings, 694 00:37:33,360 --> 00:37:37,120 Speaker 3: how do you overhaul an institution? Because you know, it's like, 695 00:37:37,200 --> 00:37:40,120 Speaker 3: I've got buddies at the FBI who are on HRT, 696 00:37:40,280 --> 00:37:42,560 Speaker 3: who are great people. I've got buddies at the CIA 697 00:37:42,680 --> 00:37:46,520 Speaker 3: who are great American patriots. So when you have conservatives 698 00:37:46,560 --> 00:37:48,160 Speaker 3: out there, tay, hey, let's scout it. We've got to 699 00:37:48,160 --> 00:37:50,120 Speaker 3: break up the CIA, we got to break up the FBI, 700 00:37:50,280 --> 00:37:52,439 Speaker 3: scatter these places to the Four Wins, It's like, well, 701 00:37:53,239 --> 00:37:56,160 Speaker 3: I understand the underlying sentiment. 702 00:37:55,840 --> 00:37:57,879 Speaker 1: Of that, I really really do. 703 00:37:58,000 --> 00:38:01,359 Speaker 3: I mean, the FBI and CIA today seem just just 704 00:38:01,800 --> 00:38:05,719 Speaker 3: wildly out of control, but like there are patriots there, 705 00:38:05,800 --> 00:38:09,640 Speaker 3: so is it even possible at this point to reform 706 00:38:09,680 --> 00:38:10,720 Speaker 3: those organizations? 707 00:38:11,640 --> 00:38:15,000 Speaker 2: So you started with the most fundamental and critical part, 708 00:38:15,040 --> 00:38:16,840 Speaker 2: which is different leadership at the White House. You have 709 00:38:16,880 --> 00:38:18,600 Speaker 2: to have somebody in the White House who recognizes that 710 00:38:18,640 --> 00:38:21,000 Speaker 2: there is a problem and you want to change it, right, 711 00:38:21,040 --> 00:38:23,080 Speaker 2: and you start firing people. Your point, and I think 712 00:38:23,120 --> 00:38:25,239 Speaker 2: it's accurate, is you're going to hear people say it's 713 00:38:25,239 --> 00:38:28,359 Speaker 2: a dictatorship, it's Hitler. Well, we have to understand and 714 00:38:28,400 --> 00:38:32,560 Speaker 2: respect this. Jesus Christ himself could descend from the clouds 715 00:38:32,880 --> 00:38:36,000 Speaker 2: and sit next to Trump and say he's definitely not Hitler, 716 00:38:36,520 --> 00:38:39,200 Speaker 2: and everybody in the left and the press would be like, yeah, 717 00:38:39,239 --> 00:38:43,200 Speaker 2: but he probably still is. So if you understand that 718 00:38:43,200 --> 00:38:46,040 Speaker 2: that's going to happen, and that's the opposition and it's 719 00:38:46,120 --> 00:38:49,840 Speaker 2: irrespective of what's true, then you just have to blast 720 00:38:49,840 --> 00:38:52,200 Speaker 2: through those folks. You just have to treat them like 721 00:38:52,239 --> 00:38:55,360 Speaker 2: either the useful idiots that they are or the regime 722 00:38:55,840 --> 00:38:58,640 Speaker 2: you know of apparatics that they are right, that's how 723 00:38:58,640 --> 00:39:01,240 Speaker 2: you have to treat them. They're just absolutely vile humans, 724 00:39:01,239 --> 00:39:04,040 Speaker 2: and that's how you treat them. So guy gets into 725 00:39:04,080 --> 00:39:05,759 Speaker 2: the White House, a Trump, a guy like Trump, it 726 00:39:05,880 --> 00:39:07,719 Speaker 2: just starts a clean house. He's of course going to 727 00:39:07,800 --> 00:39:11,080 Speaker 2: get absolute hell fire from the left. All right, we 728 00:39:11,120 --> 00:39:13,880 Speaker 2: all know it's coming. Uh, but that's where you start. 729 00:39:14,160 --> 00:39:16,200 Speaker 2: You just you got a clean house. Now to your point, 730 00:39:16,680 --> 00:39:19,680 Speaker 2: maybe some conservatives out there who say, look, we can't 731 00:39:19,719 --> 00:39:22,080 Speaker 2: reform it, we gotta we gotta tear it down. I'm 732 00:39:22,120 --> 00:39:24,920 Speaker 2: actually okay with that. The issue that I think you 733 00:39:24,960 --> 00:39:28,120 Speaker 2: bring up is but they's still a mission. So how 734 00:39:28,120 --> 00:39:30,080 Speaker 2: do we accomplish the mission? Because there are lots of 735 00:39:30,120 --> 00:39:32,640 Speaker 2: bad guys. We talked about China earlier. Yeah, we got 736 00:39:32,680 --> 00:39:34,880 Speaker 2: to do something about them. They have infiltrated this company, 737 00:39:34,960 --> 00:39:36,560 Speaker 2: our country, and so we got to figure out what 738 00:39:36,560 --> 00:39:39,160 Speaker 2: to do about that. Plus the Russians plus oh, by 739 00:39:39,200 --> 00:39:42,880 Speaker 2: the way, eight million unvetted illegals, how about plus counting 740 00:39:42,960 --> 00:39:44,759 Speaker 2: just on the past three years. I think there might 741 00:39:44,800 --> 00:39:47,799 Speaker 2: be a threat there, Yeah, somewhere in there. So we 742 00:39:47,880 --> 00:39:50,240 Speaker 2: have a lot of really important mission sets, both domestically 743 00:39:50,280 --> 00:39:51,840 Speaker 2: and abroad that we have to figure out how to 744 00:39:51,880 --> 00:39:54,840 Speaker 2: resource and how to how to tackle so two things. 745 00:39:55,080 --> 00:39:57,200 Speaker 2: Can we reform it? Sure, but we got we have 746 00:39:57,280 --> 00:39:59,799 Speaker 2: these other mission sets that we have to tackle. But again, 747 00:40:00,120 --> 00:40:03,360 Speaker 2: if you trust or believe that your leaders understand that 748 00:40:03,440 --> 00:40:05,359 Speaker 2: the place is rotten and you got to clean it up, 749 00:40:05,560 --> 00:40:06,640 Speaker 2: then I think a lot of us are going to 750 00:40:06,680 --> 00:40:08,960 Speaker 2: give that leader a lot more leiche to clean things 751 00:40:09,040 --> 00:40:11,239 Speaker 2: up because we're going to trust that person understands that 752 00:40:11,280 --> 00:40:13,759 Speaker 2: there's a problem and they want to fix it. Then 753 00:40:13,800 --> 00:40:15,799 Speaker 2: we're gonna be like, all right, I'm not really sure 754 00:40:15,840 --> 00:40:17,120 Speaker 2: going to be able to do it, but I'm going 755 00:40:17,160 --> 00:40:18,440 Speaker 2: to give you a shot to clean it up. And 756 00:40:18,480 --> 00:40:19,960 Speaker 2: that's what we need to do. And if you, by 757 00:40:20,000 --> 00:40:21,920 Speaker 2: the way, had a really great house or a Senate 758 00:40:22,200 --> 00:40:25,400 Speaker 2: that did an investigation into all these deep staters, I 759 00:40:25,440 --> 00:40:27,719 Speaker 2: think that you could probably have a truth and reconciliation 760 00:40:27,760 --> 00:40:32,120 Speaker 2: committee or campaign that smoked out what actually happened. I 761 00:40:32,160 --> 00:40:33,279 Speaker 2: think you can clean it up. 762 00:40:33,719 --> 00:40:36,320 Speaker 1: But we'll see, we'll see. Brian. 763 00:40:36,640 --> 00:40:40,120 Speaker 3: Tell the audience how they can support you, where they 764 00:40:40,120 --> 00:40:43,520 Speaker 3: can find you, Tell them about the right report, your podcast, 765 00:40:43,600 --> 00:40:45,880 Speaker 3: how they can subscribe, Tell us all ah. 766 00:40:45,719 --> 00:40:48,120 Speaker 2: That's awesome, thanks mate. So about a year ago I 767 00:40:48,200 --> 00:40:50,960 Speaker 2: kicked off the Right Report, bringing forth this idea of 768 00:40:50,960 --> 00:40:53,359 Speaker 2: every morning the president gets a daily brief. I try 769 00:40:53,400 --> 00:40:56,560 Speaker 2: to bring folks that as well. One morning to yeah, 770 00:40:56,680 --> 00:40:58,759 Speaker 2: seven am Eastern. So the Right Report does that. We 771 00:40:58,800 --> 00:41:01,359 Speaker 2: go around the country, around the world. We talk about 772 00:41:01,400 --> 00:41:04,600 Speaker 2: really strange places like this morning we talked about New Caledonia. 773 00:41:04,719 --> 00:41:06,880 Speaker 2: Where is that? Why do we care? We should? We 774 00:41:06,880 --> 00:41:08,960 Speaker 2: should care? It's in the South Pacific. It goes back 775 00:41:09,000 --> 00:41:11,400 Speaker 2: to World War two. So we talk about really strange 776 00:41:11,400 --> 00:41:13,719 Speaker 2: and awesome places and how they're relevant today. That the 777 00:41:13,760 --> 00:41:15,840 Speaker 2: news there, and we talk about a lot of domestic 778 00:41:15,880 --> 00:41:18,560 Speaker 2: stuff too. So about twenty five minutes give or take 779 00:41:18,640 --> 00:41:21,480 Speaker 2: every morning seven am Eastern and all podcast platforms, people 780 00:41:21,520 --> 00:41:23,160 Speaker 2: can dig into it. The really cool part is that 781 00:41:23,239 --> 00:41:26,160 Speaker 2: create transcripts with all the hyperlinks to all the sources. 782 00:41:26,320 --> 00:41:28,359 Speaker 2: So people want to dig into these issues and they 783 00:41:28,360 --> 00:41:31,400 Speaker 2: want to explore more themselves or send to something to somebody. 784 00:41:31,680 --> 00:41:33,360 Speaker 2: I've got all the resources therefore you to do it. 785 00:41:33,440 --> 00:41:35,160 Speaker 2: So that's I think the value add at the end 786 00:41:35,160 --> 00:41:37,839 Speaker 2: of the day. So seven am Eastern usually a little 787 00:41:37,840 --> 00:41:40,000 Speaker 2: earlier though usually by five am. If I can get 788 00:41:40,040 --> 00:41:42,839 Speaker 2: up that early, but it's there forty five minutes each 789 00:41:42,920 --> 00:41:44,440 Speaker 2: day Friday's week. 790 00:41:45,000 --> 00:41:45,680 Speaker 1: Well listen. 791 00:41:46,040 --> 00:41:51,600 Speaker 3: If you all want your own personal presidential daily brief, 792 00:41:52,000 --> 00:41:55,280 Speaker 3: go subscribe to the Right Report, because there's really nobody 793 00:41:55,400 --> 00:41:58,880 Speaker 3: smarter at this stuff. You know again, I mentioned to 794 00:41:58,920 --> 00:42:01,319 Speaker 3: everybody in the audience, Brian, that you used to go 795 00:42:01,360 --> 00:42:04,719 Speaker 3: on Tucker all the time that disaffected Democrat now hard 796 00:42:04,880 --> 00:42:07,960 Speaker 3: now America first, like you understand the moment that we're 797 00:42:07,960 --> 00:42:10,319 Speaker 3: in as a country. And to me, I don't really 798 00:42:10,360 --> 00:42:13,080 Speaker 3: give a damn about Democrat Republican, Brian. I don't if 799 00:42:13,120 --> 00:42:15,400 Speaker 3: you understand the danger that we're in right now as 800 00:42:15,440 --> 00:42:17,840 Speaker 3: a country. It's not even about political parties. 801 00:42:18,040 --> 00:42:18,440 Speaker 1: And so. 802 00:42:20,400 --> 00:42:22,799 Speaker 3: I appreciate you giving giving me so much of your 803 00:42:22,800 --> 00:42:24,400 Speaker 3: time today and giving the audience so much of your 804 00:42:24,440 --> 00:42:27,080 Speaker 3: time today. And folks, you should really support Brian. But 805 00:42:27,320 --> 00:42:29,239 Speaker 3: we got to get you back. We got to get 806 00:42:29,280 --> 00:42:32,960 Speaker 3: you back. You gotta bring the maps. I'm not you 807 00:42:33,200 --> 00:42:35,160 Speaker 3: like pointing out stuff on maps for people. 808 00:42:35,239 --> 00:42:37,960 Speaker 2: Yes, let's do it. I'm gonna be I'm gonna be 809 00:42:38,000 --> 00:42:40,920 Speaker 2: your personal map guide around the world. I actually encourage 810 00:42:40,920 --> 00:42:42,520 Speaker 2: people to bring their maps when they listen to the 811 00:42:42,520 --> 00:42:45,359 Speaker 2: podcast because we do go to weird places. So I'll 812 00:42:45,360 --> 00:42:47,520 Speaker 2: have one in the background. That's my family cattle brand 813 00:42:47,560 --> 00:42:49,640 Speaker 2: in the background. We'll replace that with a map instead. 814 00:42:49,960 --> 00:42:51,400 Speaker 1: You have a family cattle brand. 815 00:42:51,840 --> 00:42:53,880 Speaker 2: Yeah, you see buy my left shoulder. 816 00:42:54,320 --> 00:42:55,000 Speaker 1: That's okay. 817 00:42:55,080 --> 00:42:58,279 Speaker 3: So the whole thing with Fort Parnell here, we have 818 00:42:58,320 --> 00:43:00,959 Speaker 3: a small farm in western Pennsylvania. Now we are all 819 00:43:01,000 --> 00:43:04,480 Speaker 3: hardcore into homesteading. We're about to get chickens. We got 820 00:43:04,520 --> 00:43:06,600 Speaker 3: a chicken coop, we got goats coming. And now my 821 00:43:07,080 --> 00:43:08,640 Speaker 3: wife is talking about getting a cow. 822 00:43:08,719 --> 00:43:10,080 Speaker 1: She just brought. Hey, we got to get this cow. 823 00:43:10,080 --> 00:43:12,239 Speaker 3: We got to build a barn for You can't just 824 00:43:12,400 --> 00:43:16,399 Speaker 3: start by getting chickens. It's snowballs into goats and then 825 00:43:16,440 --> 00:43:19,200 Speaker 3: goats become dairy cow. Where does it end, Brian. 826 00:43:19,400 --> 00:43:21,120 Speaker 2: It doesn't. And I'm going to give you a piece 827 00:43:21,120 --> 00:43:24,200 Speaker 2: of counsel. Friend, if your wife is encouraging you to 828 00:43:24,200 --> 00:43:28,239 Speaker 2: get a dairy cow, do not do it, because that 829 00:43:28,280 --> 00:43:32,040 Speaker 2: requires milking twice a day, man, every day. It never ends, 830 00:43:32,280 --> 00:43:34,279 Speaker 2: all right, That's where they've mechanized that stuff, because that's 831 00:43:34,280 --> 00:43:36,440 Speaker 2: a miserable job unless you want to pull on the 832 00:43:36,440 --> 00:43:38,359 Speaker 2: teets of a cow, and then that's a whole different deal. 833 00:43:38,800 --> 00:43:41,600 Speaker 2: The point is, don't do dairy doo beef. Just buy 834 00:43:41,640 --> 00:43:42,800 Speaker 2: your milk. It's a lot easier. 835 00:43:44,000 --> 00:43:46,680 Speaker 3: Brian Dean Wright, host of The Right Report, Thank you 836 00:43:46,680 --> 00:43:47,560 Speaker 3: for your time, my friend. 837 00:43:47,600 --> 00:43:52,000 Speaker 1: I'll see you soon. You got it all right, see it? Brian? Okay, 838 00:43:52,200 --> 00:43:54,400 Speaker 1: listen COVID. We gotta talk, folks. 839 00:43:54,520 --> 00:43:57,000 Speaker 3: I've been talking about COVID, I know, and probably if 840 00:43:57,040 --> 00:43:58,480 Speaker 3: I'm talking about it too much. 841 00:43:58,520 --> 00:43:58,680 Speaker 1: Oh. 842 00:43:58,680 --> 00:44:00,920 Speaker 3: By the way, folks, make sure you can rumble smash 843 00:44:00,960 --> 00:44:02,799 Speaker 3: that little green thumb. Let's get on the leader board 844 00:44:02,840 --> 00:44:06,360 Speaker 3: for rumble. U. Tell your family and your friends to 845 00:44:06,400 --> 00:44:09,439 Speaker 3: subscribe to Battleground Live, where a rumble picked us today. 846 00:44:09,440 --> 00:44:13,879 Speaker 3: We're an editor's pick. So please subscribe. Follow Battleground Live. 847 00:44:14,080 --> 00:44:17,160 Speaker 3: This is your show. I read your comments. I'm in 848 00:44:17,239 --> 00:44:21,200 Speaker 3: the live chat. It's fully interactive, and we want you 849 00:44:21,400 --> 00:44:24,799 Speaker 3: in the trenches as a real deal conservative fighting to 850 00:44:24,800 --> 00:44:27,759 Speaker 3: save this country. So follow, Subscribe, Tell everybody you know 851 00:44:27,840 --> 00:44:28,200 Speaker 3: to follow. 852 00:44:28,239 --> 00:44:28,759 Speaker 2: Subscribe. 853 00:44:28,800 --> 00:44:29,880 Speaker 1: Okay, Back to COVID. 854 00:44:30,560 --> 00:44:33,960 Speaker 3: There have been there has been so much breaking news 855 00:44:34,239 --> 00:44:38,279 Speaker 3: about COVID that it is absolutely unbelievable and it is 856 00:44:38,320 --> 00:44:45,040 Speaker 3: a tragedy, and I mean a tragedy that it has 857 00:44:45,120 --> 00:44:48,319 Speaker 3: not been headline news damn near everywhere. I have to 858 00:44:48,480 --> 00:44:53,160 Speaker 3: scour the internet and see SPAN sites and everything else. 859 00:44:53,840 --> 00:44:57,440 Speaker 3: Just define the congressional testimony from the COVID Select Committee, 860 00:44:57,480 --> 00:44:59,600 Speaker 3: which is investigating the pandemic, just to. 861 00:44:59,480 --> 00:45:02,520 Speaker 1: Bring you this information. It's unbelievable. 862 00:45:02,520 --> 00:45:05,520 Speaker 3: And here's part of the reason why these major networks, 863 00:45:05,560 --> 00:45:09,440 Speaker 3: even conservative networks, they can't question the narrative. Why because 864 00:45:09,480 --> 00:45:13,040 Speaker 3: Pfizer Maderna, they all sponsor these networks to the tune 865 00:45:13,120 --> 00:45:16,880 Speaker 3: of hundreds of millions of dollars a year. It's for 866 00:45:16,920 --> 00:45:19,279 Speaker 3: the very say, it's the very same reason that people 867 00:45:19,320 --> 00:45:22,000 Speaker 3: who are vaccine injured and people that I know and 868 00:45:22,080 --> 00:45:26,600 Speaker 3: I love dearly, people in my family, friends who who 869 00:45:26,640 --> 00:45:30,520 Speaker 3: are vaccine injured, they can't find anyone to treat the 870 00:45:30,600 --> 00:45:33,960 Speaker 3: injury because no doctor will admit that it's the vaccine 871 00:45:33,960 --> 00:45:37,279 Speaker 3: that's causing it, because the doctor likely prescribed it, and 872 00:45:37,360 --> 00:45:39,600 Speaker 3: don't they don't Those people don't want to get sued. 873 00:45:39,960 --> 00:45:42,759 Speaker 3: In fact, not only were they and not only did 874 00:45:42,800 --> 00:45:44,839 Speaker 3: they prescribe it, and they're afraid of getting sued, they 875 00:45:44,840 --> 00:45:49,400 Speaker 3: were financially incentivized to prescribe this medication. They got paid 876 00:45:49,520 --> 00:45:52,840 Speaker 3: each and every time they gave it it's sickening, but 877 00:45:52,960 --> 00:45:54,000 Speaker 3: I don't give a damn. 878 00:45:54,160 --> 00:45:56,000 Speaker 1: I'm not gonna stop talking about it. 879 00:45:56,120 --> 00:45:58,799 Speaker 3: Look a look at the testimony today on Capitol Hill 880 00:45:59,120 --> 00:46:02,800 Speaker 3: where they were questioned or yet members of Congress questioning 881 00:46:04,120 --> 00:46:07,160 Speaker 3: government employees at the National Institute of Hell asking them 882 00:46:07,239 --> 00:46:10,000 Speaker 3: about gain of function research and whether or not our 883 00:46:10,120 --> 00:46:12,960 Speaker 3: tax dollars were funding it. What gain of function research 884 00:46:13,560 --> 00:46:17,359 Speaker 3: express sole purpose of making a virus more deadly and 885 00:46:17,440 --> 00:46:21,240 Speaker 3: giving it the capability from jumping to jump from an animal. 886 00:46:20,880 --> 00:46:25,360 Speaker 1: To a human. It just that simple. Listen for yourself, 887 00:46:25,640 --> 00:46:26,520 Speaker 1: doctor Tabek. 888 00:46:27,040 --> 00:46:31,240 Speaker 2: Did NIH fund gain and function research at the Wuhan 889 00:46:31,400 --> 00:46:33,880 Speaker 2: Institute of Virology through echo health? 890 00:46:34,680 --> 00:46:37,720 Speaker 7: It depends on your definition of gain of function research. 891 00:46:38,520 --> 00:46:43,200 Speaker 7: If you're speaking about the generic term, yes we did, 892 00:46:43,719 --> 00:46:48,440 Speaker 7: because but this is research. The generic term is research 893 00:46:48,520 --> 00:46:51,000 Speaker 7: that goes on in many, many labs around the country. 894 00:46:51,320 --> 00:46:54,680 Speaker 7: It is not regulated, and the reason is not regulated 895 00:46:54,719 --> 00:46:56,920 Speaker 7: is it poses no threat or harm to anybody. 896 00:46:58,600 --> 00:47:03,400 Speaker 3: The CIA or the CNN Deathticker would like to have 897 00:47:03,480 --> 00:47:06,759 Speaker 3: a word about that. I mean, are you kidding me? 898 00:47:07,800 --> 00:47:10,359 Speaker 3: This is absolutely crazy. Let me see if I can 899 00:47:10,360 --> 00:47:12,880 Speaker 3: get this up on the screen. This is really important 900 00:47:12,920 --> 00:47:14,680 Speaker 3: for you to see and I'm just gonna show you 901 00:47:15,080 --> 00:47:19,440 Speaker 3: the actual paperwork. But you want to talk about making 902 00:47:19,560 --> 00:47:24,920 Speaker 3: up science because it seems like these people, you know, 903 00:47:24,960 --> 00:47:27,719 Speaker 3: all of these people who are supposed to protect us, 904 00:47:28,360 --> 00:47:31,560 Speaker 3: well they didn't. It seems like they made it up 905 00:47:32,360 --> 00:47:36,640 Speaker 3: as they were going along. That doesn't sound bad enough. 906 00:47:36,719 --> 00:47:40,320 Speaker 3: Check this out, Okay, check this out. This is former 907 00:47:40,440 --> 00:47:44,799 Speaker 3: NIH director Francis Collins, and she's admitting here in testimony 908 00:47:44,800 --> 00:47:48,320 Speaker 3: that no science or evidence ever supported social distancing policies. 909 00:47:48,560 --> 00:47:50,680 Speaker 3: Here's the question. Can you all see it? 910 00:47:50,880 --> 00:47:51,640 Speaker 1: Yes? You can. 911 00:47:52,160 --> 00:47:55,560 Speaker 3: The question do you recall science or evidence that supported 912 00:47:55,560 --> 00:47:57,200 Speaker 3: the six foot social distance? 913 00:47:57,480 --> 00:47:59,640 Speaker 1: I do not. This is highlighted. 914 00:47:59,800 --> 00:48:05,960 Speaker 3: Have you seen any evidence since then supporting six feet? No, folks, 915 00:48:06,440 --> 00:48:11,359 Speaker 3: there are still signs and airports in bars, I mean, 916 00:48:11,400 --> 00:48:15,000 Speaker 3: in freaking gyms that still say six feet social distancing. 917 00:48:15,120 --> 00:48:19,600 Speaker 3: So here's how I'm gonna end this show. I was 918 00:48:19,640 --> 00:48:22,080 Speaker 3: thinking about this today and talking about it. Does the 919 00:48:22,120 --> 00:48:25,040 Speaker 3: government ever tell us the truth? That's the title of 920 00:48:25,160 --> 00:48:29,239 Speaker 3: this show. We will end where we began. I mean, obviously, 921 00:48:29,320 --> 00:48:31,680 Speaker 3: the answer, at least in today's day and age, is that, 922 00:48:31,880 --> 00:48:35,240 Speaker 3: Hell no, the government doesn't tell us the truth. 923 00:48:35,520 --> 00:48:36,760 Speaker 1: Let's think about COVID. 924 00:48:36,800 --> 00:48:43,120 Speaker 3: Though for just a second, everything the government did was 925 00:48:43,280 --> 00:48:50,319 Speaker 3: designed to make things worse. Think about that. Let it 926 00:48:50,400 --> 00:48:55,120 Speaker 3: sink in, and I'm gonna say it again. Everything the 927 00:48:55,160 --> 00:49:00,040 Speaker 3: government did, our government did was designed to make the 928 00:49:00,080 --> 00:49:05,279 Speaker 3: pandemic worse and to be fair in the midst of 929 00:49:05,400 --> 00:49:08,799 Speaker 3: a crisis. And I have been in a great many crises, 930 00:49:08,840 --> 00:49:12,560 Speaker 3: in combat and back here at home. I know the 931 00:49:12,640 --> 00:49:19,680 Speaker 3: moment kaleidoscope surround you, there's chaos. Sometimes we just get 932 00:49:19,680 --> 00:49:24,600 Speaker 3: things wrong, sometimes we just make mistakes. 933 00:49:25,960 --> 00:49:27,800 Speaker 1: But everything. 934 00:49:28,680 --> 00:49:33,960 Speaker 3: Everything the government did was wrong, literally everything. Think think 935 00:49:34,000 --> 00:49:41,160 Speaker 3: about this. They closed down gyms, well, gyms keep us healthy. 936 00:49:41,320 --> 00:49:44,080 Speaker 3: Why would they do that. It was not just wrong, 937 00:49:44,239 --> 00:49:48,120 Speaker 3: it was the opposite of what was right. They kept 938 00:49:48,200 --> 00:49:52,799 Speaker 3: kids out of school, well we knew that the virus 939 00:49:52,840 --> 00:49:57,960 Speaker 3: did not affect children. They literally did the opposite of 940 00:49:58,000 --> 00:50:01,839 Speaker 3: what was right. How the freaking woman who was most 941 00:50:01,920 --> 00:50:05,239 Speaker 3: responsible for this has done a complete one eighty and 942 00:50:05,360 --> 00:50:08,000 Speaker 3: is expecting people to not notice. And that's why I 943 00:50:08,080 --> 00:50:10,680 Speaker 3: will never, and I mean never, stop talking about this. 944 00:50:11,000 --> 00:50:15,480 Speaker 3: Randy Wigarden student, She says on x last night, students 945 00:50:15,480 --> 00:50:18,799 Speaker 3: who are chronically absent have a harder time reading at 946 00:50:18,840 --> 00:50:23,440 Speaker 3: grade level, and even graduating high school. President Biden and 947 00:50:23,480 --> 00:50:27,279 Speaker 3: the vice president, Kamala Harris commitments to increase engagement in 948 00:50:27,360 --> 00:50:31,640 Speaker 3: reducing absenteeism are necessary to helping young people succeed. 949 00:50:31,719 --> 00:50:32,480 Speaker 1: Are you kidding me? 950 00:50:33,120 --> 00:50:36,320 Speaker 3: This as clown was the one who kept our children 951 00:50:36,400 --> 00:50:42,040 Speaker 3: out of schools for years. Biden gave this unelected bureaucrat 952 00:50:42,840 --> 00:50:45,719 Speaker 3: power that you or I didn't give her. We didn't 953 00:50:45,760 --> 00:50:48,839 Speaker 3: bespoke to bestow upon this union leader a damn thing. 954 00:50:48,880 --> 00:50:52,640 Speaker 3: We never voted for her. But how about this? How 955 00:50:52,640 --> 00:50:59,000 Speaker 3: about lockdowns? Lockdowns isolated us. They closed down parks, they 956 00:50:59,040 --> 00:51:03,640 Speaker 3: closed down I will never forget back then. I mean 957 00:51:03,680 --> 00:51:05,279 Speaker 3: a couple of years ago, it seemed like our kids 958 00:51:05,280 --> 00:51:07,160 Speaker 3: were so much smaller. Melanie and I are trying to 959 00:51:07,160 --> 00:51:08,879 Speaker 3: take the kids out to a playground and they got 960 00:51:08,880 --> 00:51:13,160 Speaker 3: all this caution tape around them outside. We're like, what 961 00:51:13,200 --> 00:51:16,879 Speaker 3: the hell is going on with this? You remember they 962 00:51:16,880 --> 00:51:20,600 Speaker 3: closed down beaches? You remember the skate park in Los 963 00:51:20,640 --> 00:51:23,799 Speaker 3: Angeles that they that they filled up with sand Or 964 00:51:23,800 --> 00:51:27,600 Speaker 3: how about all those police officers chasing after a kayaker 965 00:51:27,840 --> 00:51:30,000 Speaker 3: on the beach and no, because he was daring to 966 00:51:30,040 --> 00:51:34,200 Speaker 3: throw a kayak without a mask, they were arresting moms 967 00:51:34,320 --> 00:51:40,120 Speaker 3: on the playground. For God's sake, all of this, these lockdowns, 968 00:51:40,200 --> 00:51:45,360 Speaker 3: this isolation, these school closures, they created an epidemic in 969 00:51:45,440 --> 00:51:51,759 Speaker 3: this country of depression and suicide. The policy itself of lockdown, 970 00:51:52,239 --> 00:51:56,440 Speaker 3: school closures, closing parks. Ever, all of that, it was 971 00:51:56,640 --> 00:52:01,120 Speaker 3: exactly the opposite of what was best. It wasn't just wrong, 972 00:52:01,239 --> 00:52:05,239 Speaker 3: it was the opposite of what was best. And when 973 00:52:05,239 --> 00:52:10,040 Speaker 3: your mental health suffers, so does your immune system. When 974 00:52:10,040 --> 00:52:13,680 Speaker 3: your immune system suffers and is weak, it makes it 975 00:52:13,760 --> 00:52:18,680 Speaker 3: harder to what fight off viruses. So here again, the 976 00:52:18,719 --> 00:52:24,880 Speaker 3: policy of lockdown, of isolation, of policies that created a 977 00:52:24,960 --> 00:52:27,560 Speaker 3: mental health epidemic of depression. 978 00:52:27,480 --> 00:52:29,839 Speaker 1: Was the opposite of what was best. 979 00:52:30,400 --> 00:52:33,120 Speaker 3: I know by the way it created a generation worth 980 00:52:33,239 --> 00:52:37,360 Speaker 3: of learning issues and speech issues in our children. How 981 00:52:37,400 --> 00:52:40,000 Speaker 3: about this, what's the best source of vitamin D? The 982 00:52:40,080 --> 00:52:44,319 Speaker 3: sun told us to stay inside? How about this one? 983 00:52:44,520 --> 00:52:49,400 Speaker 3: They shunted old folks into nursing homes, knowing at the 984 00:52:49,600 --> 00:52:54,880 Speaker 3: time it would likely kill them. Instead of actually safeguarding 985 00:52:54,920 --> 00:52:59,319 Speaker 3: the elderly, we sent, in many cases the elderly to 986 00:52:59,480 --> 00:53:03,319 Speaker 3: their death. Again, they didn't just get it wrong. They 987 00:53:03,320 --> 00:53:06,960 Speaker 3: did the opposite of what was best. We allowed strip 988 00:53:07,040 --> 00:53:10,520 Speaker 3: clubs to stay open and alcohol to be sold, while 989 00:53:10,560 --> 00:53:15,240 Speaker 3: we simultaneously allowed Black Lives Matter and Antifa to protests 990 00:53:15,320 --> 00:53:18,080 Speaker 3: all over the country to the tune of tens of 991 00:53:18,200 --> 00:53:22,400 Speaker 3: thousands of people in close quarters burning buildings down. And 992 00:53:22,520 --> 00:53:25,880 Speaker 3: guess what our medical community, our doctors, they. 993 00:53:25,760 --> 00:53:27,560 Speaker 1: All said it was okay. 994 00:53:27,960 --> 00:53:31,840 Speaker 3: So while they locked down the healthy, and they locked 995 00:53:31,880 --> 00:53:34,360 Speaker 3: down people who were peaceful, they gave violent people the 996 00:53:34,400 --> 00:53:35,520 Speaker 3: ability to protest all. 997 00:53:35,440 --> 00:53:36,200 Speaker 1: Across the country. 998 00:53:37,360 --> 00:53:42,000 Speaker 3: And the very few doctors who came forward and said, 999 00:53:42,080 --> 00:53:45,319 Speaker 3: wait a second, this doesn't work. The few doctors that 1000 00:53:45,360 --> 00:53:50,040 Speaker 3: were capable of thinking for themselves to question the treatment protocols, 1001 00:53:50,200 --> 00:53:55,600 Speaker 3: those doctors were slandered. They were called crazy conspiracy theorists. 1002 00:53:55,680 --> 00:54:02,320 Speaker 3: Some of those doctors had their medical licenses revoked. I mean, listen, 1003 00:54:02,360 --> 00:54:04,960 Speaker 3: you are so sure that you are right, that you 1004 00:54:05,040 --> 00:54:08,400 Speaker 3: are correct, that your treatment protocols are better than anybody else's. 1005 00:54:08,440 --> 00:54:11,840 Speaker 3: Did you had the smear, silence and censor your critics. 1006 00:54:12,320 --> 00:54:14,440 Speaker 1: Give me a break. 1007 00:54:15,040 --> 00:54:17,760 Speaker 3: Medicines they prescribed, let's talk about this for a second. 1008 00:54:17,960 --> 00:54:20,799 Speaker 3: Medicines that they prescribed us they actually killed us, Like 1009 00:54:20,800 --> 00:54:24,879 Speaker 3: remdesevir actually kind of pretty dangerous. But they prevented ivermectin 1010 00:54:24,920 --> 00:54:29,319 Speaker 3: and hydroxychloroquin. Medicines that were safe have been safe for generations, 1011 00:54:29,320 --> 00:54:31,879 Speaker 3: and it could have saved many How about ventilators, Let's 1012 00:54:31,880 --> 00:54:34,239 Speaker 3: talk about that for a second. Ventilators weren't for the 1013 00:54:34,280 --> 00:54:37,000 Speaker 3: protection of the actual patient like we were led to believe. 1014 00:54:37,200 --> 00:54:40,000 Speaker 3: They were meant for the protection of the doctors and nurses. 1015 00:54:40,160 --> 00:54:44,760 Speaker 3: Almost everybody who was put on a ventilator died. Again, 1016 00:54:45,080 --> 00:54:48,960 Speaker 3: they didn't just get it wrong. They did the opposite 1017 00:54:49,239 --> 00:54:53,480 Speaker 3: of what was right. We fired servicemen and women in 1018 00:54:53,520 --> 00:54:58,080 Speaker 3: this country for not getting the experimental vas The Navy 1019 00:54:58,120 --> 00:55:01,760 Speaker 3: secretary was on Capitol Hill. Well talking about this today. 1020 00:55:02,000 --> 00:55:03,920 Speaker 3: Listen to what he said. Does it sound like he 1021 00:55:04,000 --> 00:55:05,920 Speaker 3: cares You believe they want. 1022 00:55:05,800 --> 00:55:07,799 Speaker 1: All the members of your team to feel like they're included. Well, 1023 00:55:07,880 --> 00:55:08,439 Speaker 1: I have a question. 1024 00:55:08,520 --> 00:55:10,600 Speaker 8: Do you believe that you were an ally for the 1025 00:55:10,880 --> 00:55:14,080 Speaker 8: one eight hundred and seventy eight soldiers who were fired 1026 00:55:14,560 --> 00:55:17,360 Speaker 8: or the three thousand, seven hundred and forty six Marines 1027 00:55:17,400 --> 00:55:19,839 Speaker 8: who were fired for not taking the COVID shot? Were 1028 00:55:19,840 --> 00:55:20,839 Speaker 8: you an ally for them? 1029 00:55:21,680 --> 00:55:24,719 Speaker 1: Sir? I followed the laws they disobeyed. What did they 1030 00:55:24,719 --> 00:55:29,920 Speaker 1: feel included? They disobeyed all. They were fired. They were 1031 00:55:29,920 --> 00:55:32,360 Speaker 1: fired because they dis You regret that, do you regret 1032 00:55:32,400 --> 00:55:34,440 Speaker 1: that currently existed? I have no regrets to you. 1033 00:55:34,560 --> 00:55:37,840 Speaker 9: You have recruitment challenges, you refused to You refuse to 1034 00:55:37,880 --> 00:55:40,400 Speaker 9: admit that the guy's a part of this. You're firing 1035 00:55:40,520 --> 00:55:43,000 Speaker 9: qualified people who are well trained, and you sit here 1036 00:55:43,040 --> 00:55:45,640 Speaker 9: so smugly to act like none of that has any 1037 00:55:45,680 --> 00:55:47,960 Speaker 9: impact on the readiness of our navy center. 1038 00:55:48,640 --> 00:55:52,160 Speaker 3: We recontacted thirty five hundred of the forty eight hundred 1039 00:55:52,160 --> 00:55:53,160 Speaker 3: people who were fired. 1040 00:55:53,360 --> 00:55:55,080 Speaker 1: You know how many actually decided to come back to 1041 00:55:55,120 --> 00:55:57,040 Speaker 1: the Navy? How many too? Shocker? 1042 00:55:57,360 --> 00:56:00,440 Speaker 8: Too shocker at the level of disrespect they received their. 1043 00:56:00,280 --> 00:56:06,840 Speaker 3: Government shouldn't shock anyone, of course, they wouldn't want to 1044 00:56:06,840 --> 00:56:10,080 Speaker 3: come back. They were so disrespected by their leaders in 1045 00:56:10,120 --> 00:56:12,240 Speaker 3: this country. Why the hell would you want to subject 1046 00:56:12,280 --> 00:56:17,960 Speaker 3: yourself to that. Folks, listen to me. Our government didn't 1047 00:56:18,000 --> 00:56:23,160 Speaker 3: just get some things wrong. They got everything wrong. 1048 00:56:24,480 --> 00:56:24,920 Speaker 1: Everything. 1049 00:56:24,960 --> 00:56:27,399 Speaker 3: I mean hell, the only thing that they got right, 1050 00:56:28,400 --> 00:56:30,440 Speaker 3: and it was only for the briefest of moments, was 1051 00:56:30,480 --> 00:56:33,400 Speaker 3: that masks don't work. And then they immediately changed course. 1052 00:56:33,440 --> 00:56:36,840 Speaker 3: God forbid the government tell us the truth about anything. 1053 00:56:37,640 --> 00:56:40,160 Speaker 3: And I'm saying this right now, And I don't really 1054 00:56:40,200 --> 00:56:45,040 Speaker 3: care what people think. This was one hundred percent deliberate. 1055 00:56:46,680 --> 00:56:49,840 Speaker 3: Whoever was pulling the strings, whoever was calling the shots, 1056 00:56:50,280 --> 00:56:54,279 Speaker 3: they did what they did to maximize this nation's pain. 1057 00:56:56,040 --> 00:56:59,040 Speaker 3: They wanted the misery index, which is a real thing, 1058 00:56:59,200 --> 00:57:02,800 Speaker 3: as high as humanly possible. They wanted the misery index 1059 00:57:02,840 --> 00:57:06,759 Speaker 3: associated with Trump. They were so desperate to beating him. 1060 00:57:06,760 --> 00:57:10,160 Speaker 3: They were so desperate to beat him. And what comes 1061 00:57:10,160 --> 00:57:15,640 Speaker 3: with beating Trump a full scale institutional takeover, an erosion 1062 00:57:15,680 --> 00:57:17,720 Speaker 3: of your freedom. Trump was standing on their way of 1063 00:57:17,760 --> 00:57:20,160 Speaker 3: all of that stuff. And for all the people in 1064 00:57:20,200 --> 00:57:22,560 Speaker 3: the chat that are probably thinking, or maybe Republicans who 1065 00:57:22,600 --> 00:57:24,480 Speaker 3: maybe didn't back Trump or a critical of Trump for 1066 00:57:24,520 --> 00:57:27,160 Speaker 3: all of this, I mean he was president at the time, 1067 00:57:27,360 --> 00:57:30,720 Speaker 3: right well, I mean it was by and large, state 1068 00:57:30,840 --> 00:57:34,760 Speaker 3: medical boards revoking medical license governors. The states were the 1069 00:57:34,800 --> 00:57:38,360 Speaker 3: ones really locking people down, deep state employees, random uck 1070 00:57:38,400 --> 00:57:40,400 Speaker 3: and Trump didn't even know what the hell was going 1071 00:57:40,520 --> 00:57:43,160 Speaker 3: He had no idea what these people were doing behind 1072 00:57:43,720 --> 00:57:47,680 Speaker 3: the scenes, stifling his agenda at every turn. I mean, 1073 00:57:47,680 --> 00:57:49,600 Speaker 3: this is part of the problem, right These deep state 1074 00:57:49,640 --> 00:57:52,680 Speaker 3: government employees are unfireable. You can't get rid of them. 1075 00:57:52,720 --> 00:57:55,600 Speaker 3: What's the saying in the government. Presidents come and go, 1076 00:57:56,320 --> 00:58:02,400 Speaker 3: but the deep state is here forever. It was all deliberate, 1077 00:58:03,480 --> 00:58:06,760 Speaker 3: all of it. You can't trust our government for anything. 1078 00:58:07,920 --> 00:58:10,840 Speaker 3: Do everything that you can to take this country back. 1079 00:58:12,320 --> 00:58:15,960 Speaker 3: Do everything that you can to volunteer from the ground up. 1080 00:58:16,000 --> 00:58:20,320 Speaker 3: I told you how many lock Stock and Barrel, true 1081 00:58:20,400 --> 00:58:23,280 Speaker 3: believing conservatives right at the top of this show stayed 1082 00:58:23,280 --> 00:58:28,200 Speaker 3: home in twenty twenty, even though everything was rigged in 1083 00:58:28,280 --> 00:58:31,720 Speaker 3: all the Democrat cheating, we still could have won in 1084 00:58:31,760 --> 00:58:36,600 Speaker 3: the state of Pennsylvania by twenty thousand votes. People stayed home. 1085 00:58:37,680 --> 00:58:41,800 Speaker 3: I don't care what it takes moving forward. We've got 1086 00:58:41,840 --> 00:58:45,160 Speaker 3: to do better as a party. No One, and I 1087 00:58:45,320 --> 00:58:49,720 Speaker 3: mean no one is coming to save us. 1088 00:58:50,480 --> 00:58:51,040 Speaker 1: No one. 1089 00:58:53,440 --> 00:58:57,200 Speaker 3: Anyways, folks, thank you for watching. I really appreciate it. 1090 00:58:57,200 --> 00:59:01,080 Speaker 3: For all the new people who are who are For 1091 00:59:01,160 --> 00:59:05,400 Speaker 3: all the new people who are watching, please subscribe to 1092 00:59:05,440 --> 00:59:07,120 Speaker 3: the show, follow the show on Rumble. 1093 00:59:08,160 --> 00:59:09,280 Speaker 1: We're grateful to have you. 1094 00:59:09,360 --> 00:59:11,240 Speaker 3: We want you in the trenches with us each and 1095 00:59:11,280 --> 00:59:14,760 Speaker 3: every night, Monday through Friday, five to six. Sometimes we 1096 00:59:14,800 --> 00:59:17,160 Speaker 3: go a little bit over, because you know, taking the 1097 00:59:17,160 --> 00:59:20,439 Speaker 3: fight to these radical liberals and sometimes Republicans is tough work. 1098 00:59:20,480 --> 00:59:22,480 Speaker 3: We got to do what we gotta do right. But 1099 00:59:22,600 --> 00:59:25,479 Speaker 3: this show is for you. It is it always will 1100 00:59:25,520 --> 00:59:28,080 Speaker 3: be for you. We're in the live chat, we have fun, 1101 00:59:28,120 --> 00:59:31,080 Speaker 3: We're building a community. We want you a part of 1102 00:59:31,120 --> 00:59:34,800 Speaker 3: that community. So follow, subscribe, make sure you smash that 1103 00:59:34,920 --> 00:59:36,440 Speaker 3: little green thumb. 1104 00:59:36,880 --> 00:59:37,640 Speaker 1: Smash it. 1105 00:59:37,640 --> 00:59:40,760 Speaker 3: It helps us get to the Rumble leader board and 1106 00:59:40,800 --> 00:59:42,640 Speaker 3: that's where we want to be. You know, we're a 1107 00:59:42,640 --> 00:59:45,240 Speaker 3: new show, less than a few we have six months 1108 00:59:45,280 --> 00:59:47,360 Speaker 3: old now seven months old now, I mean, I don't 1109 00:59:47,360 --> 00:59:51,840 Speaker 3: know times flying doing this daily show. But smash that 1110 00:59:51,880 --> 00:59:54,919 Speaker 3: little green thumb. And as always, folks, thank you all 1111 00:59:54,960 --> 00:59:57,240 Speaker 3: for sticking with me. Thank you for being a part 1112 00:59:57,360 --> 00:59:59,360 Speaker 3: of the battle crew and in the live chat and 1113 00:59:59,360 --> 01:00:04,160 Speaker 3: supporting me. And as always, take action. Keep the faith 1114 01:00:04,640 --> 01:00:07,960 Speaker 3: organize from the ground up. God bless you all, and 1115 01:00:08,040 --> 01:00:12,120 Speaker 3: God bless this amazing country that we call home. I 1116 01:00:12,160 --> 01:00:16,120 Speaker 3: will see you all tomorrow night. Great show for your 1117 01:00:16,160 --> 01:00:18,920 Speaker 3: planned see you tomorrow, God bless good night. 1118 01:00:19,280 --> 01:00:20,480 Speaker 1: Take care