1 00:00:01,960 --> 00:00:05,200 Speaker 1: A reckoning. We haven't forgotten about it. We need one. 2 00:00:05,240 --> 00:00:07,880 Speaker 1: We're going to talk about what they're still doing tonight 3 00:00:07,920 --> 00:00:10,240 Speaker 1: and why they're doing it. We have Carol rob we 4 00:00:10,320 --> 00:00:12,559 Speaker 1: have Liz Harrington, we have a great light in the 5 00:00:12,600 --> 00:00:14,560 Speaker 1: mood and more. All that's coming up and I'm right, 6 00:00:23,280 --> 00:00:26,759 Speaker 1: welcome to im right, it's time to talk about COVID consequences. 7 00:00:34,080 --> 00:00:38,360 Speaker 1: You want some money, like a lot of it. I 8 00:00:38,400 --> 00:00:42,680 Speaker 1: want some money. I don't know why you don't have money. 9 00:00:42,720 --> 00:00:45,440 Speaker 1: If you want some money, you know there are banks 10 00:00:45,720 --> 00:00:49,800 Speaker 1: all over your area. What's stopping you from going down 11 00:00:49,920 --> 00:00:55,400 Speaker 1: and robbing a bank? Well, obviously you know the answer there. 12 00:00:55,400 --> 00:00:57,920 Speaker 1: You're looking at the TV like I'm crazy right now, Jesse. 13 00:00:58,080 --> 00:01:00,000 Speaker 1: I don't want to get shot. I don't want to 14 00:01:00,120 --> 00:01:04,680 Speaker 1: get thrown in prison. Oh so the reason you're not 15 00:01:04,760 --> 00:01:08,920 Speaker 1: robbing banks is there are consequences for robbing a bank. 16 00:01:09,880 --> 00:01:13,679 Speaker 1: You see. Human history is filled with trying to figure 17 00:01:13,680 --> 00:01:17,240 Speaker 1: out crime and punishment. They write books about it. Obviously, 18 00:01:17,720 --> 00:01:20,720 Speaker 1: what's the appropriate about a punishment? Here's what do we 19 00:01:20,760 --> 00:01:25,119 Speaker 1: do with this crime here? But nevertheless, human history is 20 00:01:25,520 --> 00:01:28,720 Speaker 1: filled with people trying to figure out how do we 21 00:01:28,800 --> 00:01:33,720 Speaker 1: get human beings to stop doing X. Okay, these people 22 00:01:33,840 --> 00:01:37,280 Speaker 1: want to do this, we don't want them to do this. 23 00:01:38,040 --> 00:01:41,040 Speaker 1: How do we stop them from doing it? And part 24 00:01:41,080 --> 00:01:45,400 Speaker 1: of that, as every society has found out, is deterrence. 25 00:01:46,040 --> 00:01:51,200 Speaker 1: Deterrence that comes with what fear. You see fear as 26 00:01:51,200 --> 00:01:55,040 Speaker 1: a powerful motivator. It just is when I get done 27 00:01:55,360 --> 00:01:58,720 Speaker 1: doing I'm right for you tonight and I go get 28 00:01:58,800 --> 00:02:01,720 Speaker 1: my truck to drive home. I'll be honest with you, 29 00:02:02,120 --> 00:02:05,040 Speaker 1: I drive really really fast, and boy, I'll tell you what, 30 00:02:05,160 --> 00:02:07,360 Speaker 1: even though even though I wouldn't even have to go 31 00:02:07,440 --> 00:02:09,840 Speaker 1: I mean, it's not talking one hundred miles here, maybe 32 00:02:09,840 --> 00:02:13,320 Speaker 1: twenty miles or so. I'd like to just put the 33 00:02:13,360 --> 00:02:15,680 Speaker 1: pedal to the meadow and go as fast as I want. 34 00:02:16,200 --> 00:02:18,880 Speaker 1: But I'm not going to do that, and honestly, it's 35 00:02:18,919 --> 00:02:21,239 Speaker 1: not for any other reason. Then I don't want to 36 00:02:21,240 --> 00:02:23,440 Speaker 1: get pulled over, lose my license, have to pay a 37 00:02:23,480 --> 00:02:28,640 Speaker 1: big fat ticket. Consequences, they're important when it comes to 38 00:02:28,680 --> 00:02:33,320 Speaker 1: coronavirus and what the people who lead this country did 39 00:02:33,400 --> 00:02:37,640 Speaker 1: to this country. Well, we're severely lacking right now on 40 00:02:37,720 --> 00:02:41,720 Speaker 1: the right, and I mean severely lacking. We have all 41 00:02:41,720 --> 00:02:46,240 Speaker 1: this relief I see out there, Oh thank goodness, most 42 00:02:46,280 --> 00:02:48,200 Speaker 1: of those lockdowns are over, not all of them. I'm 43 00:02:48,200 --> 00:02:49,760 Speaker 1: going to get to that in a second. But oh, 44 00:02:50,440 --> 00:02:54,000 Speaker 1: that was terrible. Remember when they closed down our business? 45 00:02:54,080 --> 00:02:59,760 Speaker 1: That sucked. Oh thank goodness, my mask is off, little billy. 46 00:03:00,120 --> 00:03:05,280 Speaker 1: What the people who run your country spent the last 47 00:03:05,320 --> 00:03:12,040 Speaker 1: two years abusing you, killing you in some cases. When 48 00:03:12,080 --> 00:03:15,839 Speaker 1: they get done doing that, if we as a society 49 00:03:15,960 --> 00:03:20,840 Speaker 1: look around and say, who, thanks for stopping, appreciate you, boss, 50 00:03:21,919 --> 00:03:26,120 Speaker 1: they're going to do it again. If they don't fear consequences, 51 00:03:26,560 --> 00:03:29,360 Speaker 1: they're going to do it again. Have you seen this 52 00:03:29,400 --> 00:03:33,960 Speaker 1: stuff out of the CDC? It's positively horrific. Washington Post, 53 00:03:34,000 --> 00:03:36,960 Speaker 1: of all places, actually ran something on it. More than 54 00:03:37,560 --> 00:03:42,120 Speaker 1: four in ten teens say they feel sad and hopeless. 55 00:03:42,160 --> 00:03:49,360 Speaker 1: One in five have contemplated suicide, teenage suicide. Have you 56 00:03:49,400 --> 00:03:52,560 Speaker 1: seen the teenage suicide numbers over the last two years. 57 00:03:54,840 --> 00:03:57,040 Speaker 1: I need to be clear about something, because this is 58 00:03:57,080 --> 00:03:59,600 Speaker 1: something human beings do. Maybe you do this, maybe I 59 00:03:59,640 --> 00:04:02,880 Speaker 1: do this. It's something we do to cope when terrible 60 00:04:02,920 --> 00:04:07,440 Speaker 1: things happen and you maybe feel a little hopeless or helpless, 61 00:04:07,520 --> 00:04:10,320 Speaker 1: you tend to do things like, wow, this is terrible, 62 00:04:10,760 --> 00:04:15,960 Speaker 1: this happened I can't believe this happened. No, these things 63 00:04:16,000 --> 00:04:21,240 Speaker 1: did not happen. These things were done. They were done 64 00:04:21,320 --> 00:04:25,479 Speaker 1: by people, people with names. Do you want to know 65 00:04:25,520 --> 00:04:30,040 Speaker 1: why teenage girls have killed themselves at a fifty percent 66 00:04:30,200 --> 00:04:34,000 Speaker 1: higher rate than before in this country. Here's a video. 67 00:04:34,480 --> 00:04:39,440 Speaker 1: Here's why. What about children who are between the ages 68 00:04:39,480 --> 00:04:43,919 Speaker 1: of zero and twelve, and you know we have to 69 00:04:43,960 --> 00:04:46,960 Speaker 1: treat them as unvaccinated, So yes, those children still do 70 00:04:47,120 --> 00:04:50,680 Speaker 1: have to wear a mask to protect themselves. If the child, 71 00:04:50,800 --> 00:04:55,200 Speaker 1: which obviously elementary school kids, are not vaccinated, they should 72 00:04:55,200 --> 00:04:58,280 Speaker 1: wear a mask. And I'd be almost guarantee that most 73 00:04:58,279 --> 00:05:00,440 Speaker 1: of the schools are going to say you have to 74 00:05:00,480 --> 00:05:04,920 Speaker 1: wear a mask. Every student wear a mask. It's that simple. 75 00:05:05,160 --> 00:05:11,000 Speaker 1: What mask do is mask that transmission. So universal masking 76 00:05:11,920 --> 00:05:17,040 Speaker 1: is going to be very helpful. He's safe. We are 77 00:05:17,080 --> 00:05:20,000 Speaker 1: not doing enough. We have these restrictions in place for 78 00:05:20,040 --> 00:05:22,599 Speaker 1: a reason. But I think people may not be taken 79 00:05:22,600 --> 00:05:26,160 Speaker 1: as seriously as in schools are closed, but parents are 80 00:05:26,160 --> 00:05:33,520 Speaker 1: still getting kids together for playdates that shouldn't happen. We 81 00:05:33,600 --> 00:05:36,240 Speaker 1: made the video short, it could have been twenty minutes long. 82 00:05:36,320 --> 00:05:38,880 Speaker 1: Of the different people who've spent the last two years 83 00:05:39,000 --> 00:05:44,359 Speaker 1: attacking you, abusing you, forcing your uncle into suicide, forcing 84 00:05:44,400 --> 00:05:49,000 Speaker 1: your brother back into having his alcohol problems. Teenagers killing themselves. 85 00:05:49,440 --> 00:05:54,400 Speaker 1: We cannot let it go. Why then they're going to 86 00:05:54,520 --> 00:05:57,760 Speaker 1: do it again If we don't, if they don't experience 87 00:05:57,800 --> 00:06:01,159 Speaker 1: some consequences, If the cop doesn't rest the bank robber, 88 00:06:01,440 --> 00:06:04,440 Speaker 1: he's gonna go do it again and again and again. 89 00:06:05,200 --> 00:06:09,880 Speaker 1: These people abused you. Why is there no call for 90 00:06:10,000 --> 00:06:16,599 Speaker 1: public trials. We need to have public trials, televised sit down, 91 00:06:17,120 --> 00:06:22,920 Speaker 1: Rochelle Willinski, I have emails here saying you actually put 92 00:06:22,960 --> 00:06:26,760 Speaker 1: out CDC guidance based on what the teachers Union said. 93 00:06:26,960 --> 00:06:31,640 Speaker 1: So do I have this right? You mentally abused children 94 00:06:31,680 --> 00:06:35,680 Speaker 1: across the country because of political group wanted you two. 95 00:06:36,080 --> 00:06:40,560 Speaker 1: Rochelle Willinski, congratulations, You're going to federal prison for the 96 00:06:40,600 --> 00:06:43,280 Speaker 1: rest of your life. Anyone else at the CDC want 97 00:06:43,279 --> 00:06:47,080 Speaker 1: to pull that. It's the only way this changes, It's 98 00:06:47,080 --> 00:06:49,279 Speaker 1: the only way this stops. In New York City, they're 99 00:06:49,279 --> 00:06:52,880 Speaker 1: still doing it. Two to four year olds, no risk 100 00:06:52,920 --> 00:06:57,920 Speaker 1: for coronavirus, still having masks on their faces. They're not worried. 101 00:06:58,279 --> 00:07:02,120 Speaker 1: They're not worried at all. These people are monsters. And 102 00:07:02,240 --> 00:07:06,159 Speaker 1: remember they did all this to make you miserable and 103 00:07:06,360 --> 00:07:09,279 Speaker 1: ruin the economy so you wouldn't vote for Donald Trump. 104 00:07:09,480 --> 00:07:12,040 Speaker 1: I mean, how bust it up? Are these people over 105 00:07:12,120 --> 00:07:15,559 Speaker 1: what you're seeing right now out there? Well, allow Shannon Sharp, 106 00:07:15,680 --> 00:07:18,560 Speaker 1: the genius form of football player, to take it away. 107 00:07:18,760 --> 00:07:23,400 Speaker 1: Shannon Sharp, millionaire, says he's absolutely he'd paid twenty dollars 108 00:07:23,440 --> 00:07:25,920 Speaker 1: a gallon to make sure Donald Trump is in an office. 109 00:07:26,160 --> 00:07:30,440 Speaker 1: And now now you have the perfect explanation of communism 110 00:07:30,960 --> 00:07:33,920 Speaker 1: from a football player with the iq of this remote control. 111 00:07:34,320 --> 00:07:38,000 Speaker 1: He accidentally summed it up best. I paid twenty dollars 112 00:07:38,040 --> 00:07:41,320 Speaker 1: a gallon to make sure Donald Trump isn't there. They 113 00:07:41,360 --> 00:07:43,920 Speaker 1: all did it, every one of them, all the people 114 00:07:43,920 --> 00:07:47,360 Speaker 1: who lead this country, destroyed this country on purpose to 115 00:07:47,360 --> 00:07:50,120 Speaker 1: get rid of Donald Trump. And now while you pay 116 00:07:50,200 --> 00:07:52,400 Speaker 1: too much at the grocery store and too much at 117 00:07:52,440 --> 00:07:55,840 Speaker 1: the pump, and while your child is severely depressed, they're 118 00:07:55,920 --> 00:08:00,320 Speaker 1: laughing because it doesn't matter. Champagne for me, baby more. 119 00:08:00,360 --> 00:08:05,160 Speaker 1: Trump boy. That just perfectly sums it up. And now 120 00:08:05,440 --> 00:08:08,000 Speaker 1: we're just getting slaughtered by all these things. But at 121 00:08:08,560 --> 00:08:11,280 Speaker 1: least after they stopped our economy and destroyed our small 122 00:08:11,320 --> 00:08:14,400 Speaker 1: businesses at least they started passing these huge COVID bills 123 00:08:14,800 --> 00:08:17,560 Speaker 1: and all that money you worked hard for today, all 124 00:08:17,560 --> 00:08:20,360 Speaker 1: that money people went out there and put it eight 125 00:08:20,440 --> 00:08:23,240 Speaker 1: nine to ten hours. Wow, they worked three or four 126 00:08:23,240 --> 00:08:26,560 Speaker 1: of those hours for what eleven million dollars for child 127 00:08:26,680 --> 00:08:29,640 Speaker 1: support in Saint Louis, Three hundred thousand for a museum 128 00:08:29,640 --> 00:08:32,280 Speaker 1: in Saint Louis, five million for the twenty twenty two 129 00:08:32,320 --> 00:08:35,520 Speaker 1: World Games in Alabama, two million for a ski area 130 00:08:35,600 --> 00:08:39,479 Speaker 1: in Iowa, six point six million for sprinklers in Colorado. 131 00:08:39,520 --> 00:08:41,880 Speaker 1: I love that one. Two point five million for parking 132 00:08:41,880 --> 00:08:45,280 Speaker 1: officers in DC. Twelve million for a baseball stadium in 133 00:08:45,280 --> 00:08:47,880 Speaker 1: New New York. I mean, everyone knows you can't beat 134 00:08:47,920 --> 00:08:51,079 Speaker 1: COVID without a new stadium. Fifteen million for New Jersey 135 00:08:51,120 --> 00:08:54,440 Speaker 1: for soccer tens of millions and tourism marketing. One hundred 136 00:08:54,480 --> 00:08:57,280 Speaker 1: and forty million to fund a hotel in Florida. On 137 00:08:57,559 --> 00:09:01,040 Speaker 1: and on and on it goes. And where we end up, well, 138 00:09:01,120 --> 00:09:03,600 Speaker 1: don't take it from me, Take it from former Obama 139 00:09:03,640 --> 00:09:07,200 Speaker 1: advisor Larry Summers. We're heading into a recession. Certainty that 140 00:09:07,240 --> 00:09:10,440 Speaker 1: we'll see a recession in the next two three years, No, 141 00:09:11,160 --> 00:09:13,520 Speaker 1: is it more likely than not that we will see 142 00:09:13,520 --> 00:09:16,360 Speaker 1: a recession in the next two years. I don't see 143 00:09:16,360 --> 00:09:22,280 Speaker 1: how anybody can look at either the historical experience or 144 00:09:22,320 --> 00:09:27,720 Speaker 1: what markets are predicting and not think that it's fifty 145 00:09:27,760 --> 00:09:32,199 Speaker 1: fifty better than fifty fifty that a recession will start 146 00:09:32,360 --> 00:09:38,400 Speaker 1: sometime within the next two years. Recession within the next 147 00:09:38,400 --> 00:09:42,240 Speaker 1: two years. How bad is it getting out there? You 148 00:09:42,240 --> 00:09:45,160 Speaker 1: should see my emails, you should see the stories. We 149 00:09:45,280 --> 00:09:48,319 Speaker 1: got a seventy year old woman here, seventy years old, 150 00:09:48,840 --> 00:09:52,880 Speaker 1: she's going back to work. I just wanted to major comments. 151 00:09:53,720 --> 00:09:56,240 Speaker 1: My daughter died three years ago, so I'm now howkay 152 00:09:56,280 --> 00:10:00,079 Speaker 1: to support night grand daughter at seventy years old that 153 00:10:00,240 --> 00:10:02,360 Speaker 1: now had to go back to work as a registered 154 00:10:02,480 --> 00:10:05,320 Speaker 1: nurse in order to help it. Because the prices of 155 00:10:05,600 --> 00:10:12,480 Speaker 1: food are triple what they were seventy years old, putting 156 00:10:12,480 --> 00:10:17,760 Speaker 1: on the nurse's uniform again, trying to afford food. I 157 00:10:17,880 --> 00:10:21,679 Speaker 1: just want to remind you when that recession comes, Lord Willing, 158 00:10:21,720 --> 00:10:23,480 Speaker 1: it doesn't, but when it comes, I think we all 159 00:10:23,520 --> 00:10:27,440 Speaker 1: know it's coming. As your retired parents go back to work, 160 00:10:27,480 --> 00:10:29,440 Speaker 1: maybe you have to go back to work as you 161 00:10:29,480 --> 00:10:33,240 Speaker 1: have to cut back on food, cable driving places. I 162 00:10:33,280 --> 00:10:35,160 Speaker 1: want you to remember something, and I'm going to keep 163 00:10:35,200 --> 00:10:37,920 Speaker 1: saying it over and over and over again. These things 164 00:10:38,040 --> 00:10:44,080 Speaker 1: didn't happen. These things were done done by people, people 165 00:10:44,120 --> 00:10:47,640 Speaker 1: with names, and those people who did this, who have 166 00:10:47,840 --> 00:10:50,720 Speaker 1: those names, I think it's appropriate for you to just 167 00:10:50,760 --> 00:10:52,920 Speaker 1: sit back for real moment and look at how upset 168 00:10:52,960 --> 00:10:57,240 Speaker 1: they are about what they've done. So less dependent on 169 00:10:57,280 --> 00:11:01,319 Speaker 1: foreign oil and that protects us from shortage at fuel stations. 170 00:11:01,360 --> 00:11:03,800 Speaker 1: But here's the thing to remember. Even if all of 171 00:11:03,800 --> 00:11:05,839 Speaker 1: the oil we use in the USA were made in 172 00:11:05,880 --> 00:11:08,800 Speaker 1: the USA, the price of it is still subject to 173 00:11:08,840 --> 00:11:11,520 Speaker 1: powers and dynamics outside of the USA, which means that 174 00:11:11,679 --> 00:11:15,040 Speaker 1: until we achieve a form of energy independence that is 175 00:11:15,080 --> 00:11:18,600 Speaker 1: based on clean energy created here at home, American citizens 176 00:11:18,600 --> 00:11:22,000 Speaker 1: will still be vulnerable to wild price hikes like we're 177 00:11:22,000 --> 00:11:25,520 Speaker 1: seeing right now. Under my plan, which is before the Congress, 178 00:11:25,559 --> 00:11:27,640 Speaker 1: now we can take advantage of the next generation of 179 00:11:27,679 --> 00:11:31,840 Speaker 1: electric vehicles that a typical driver will save about eighty 180 00:11:31,880 --> 00:11:35,120 Speaker 1: dollars a month from not having to pay gas at 181 00:11:35,160 --> 00:11:39,240 Speaker 1: the pump. We have got to use this reason to 182 00:11:39,280 --> 00:11:42,560 Speaker 1: become energy independent with clean energy. We don't want to 183 00:11:42,559 --> 00:11:45,839 Speaker 1: be relying upon the fossil fuel markets, so that people 184 00:11:45,840 --> 00:11:49,199 Speaker 1: can buy electric vehicles and don't have to ever worry 185 00:11:49,280 --> 00:11:51,520 Speaker 1: about going to fill it up at the gas pump. 186 00:11:51,640 --> 00:11:53,360 Speaker 1: And I just say, Chris, one of the things that 187 00:11:53,400 --> 00:11:56,079 Speaker 1: I think is a really great example of this is 188 00:11:56,160 --> 00:11:59,439 Speaker 1: that if you filled up your fifteen gallon tank today, 189 00:12:00,120 --> 00:12:03,080 Speaker 1: be paying about sixty two bucks to go three hundred miles. 190 00:12:03,120 --> 00:12:06,200 Speaker 1: If you plugged in an electric vehicle in your garage 191 00:12:06,280 --> 00:12:10,160 Speaker 1: with your three prong plug, you'd be paying about ten bucks. 192 00:12:10,559 --> 00:12:14,080 Speaker 1: So ten bucks versus sixty two bucks, that's fifty bucks 193 00:12:14,120 --> 00:12:17,480 Speaker 1: you're saving every time you fill up. That's a huge 194 00:12:17,480 --> 00:12:24,280 Speaker 1: savings for real people. It's an opportunity. Aren't you excited? 195 00:12:25,000 --> 00:12:27,840 Speaker 1: They're excited every time you go to the gas pump. 196 00:12:27,840 --> 00:12:30,240 Speaker 1: Maybe you're going today, maybe you already went today. Would 197 00:12:30,280 --> 00:12:34,560 Speaker 1: you pay five six dollars a gallon? Did you look 198 00:12:34,559 --> 00:12:37,720 Speaker 1: at that number on the gas pump and get mad? Oh, 199 00:12:37,760 --> 00:12:40,000 Speaker 1: I've done it recently. I know what you're thinking. I 200 00:12:40,080 --> 00:12:44,559 Speaker 1: want you to know they're thrilled about it. Done by 201 00:12:44,640 --> 00:12:48,320 Speaker 1: people with names. All that may have made you uncomfortable, 202 00:12:48,720 --> 00:12:52,400 Speaker 1: but I'm right, they're great, Carol Roth, she joins us. Next, 203 00:12:52,520 --> 00:12:56,040 Speaker 1: now let me tell you something that might be uncomfortable 204 00:12:57,400 --> 00:13:02,760 Speaker 1: quitting dipping dipping tobacco. I did it for a long time. 205 00:13:03,720 --> 00:13:05,640 Speaker 1: I'm not proud of it. Started when I was young. 206 00:13:06,080 --> 00:13:10,160 Speaker 1: Stupid thing to do. Not gonna, not gonna lie. Loved it, 207 00:13:10,679 --> 00:13:14,199 Speaker 1: still think about it. How do I stay without it? 208 00:13:14,880 --> 00:13:18,800 Speaker 1: Black Buffalo? You see Black Buffalo. They came up with 209 00:13:18,840 --> 00:13:22,560 Speaker 1: something that actually tastes exactly like that dip, only without 210 00:13:22,600 --> 00:13:27,040 Speaker 1: the tobacco stem and leaf. And so if I'm driving 211 00:13:27,080 --> 00:13:30,200 Speaker 1: by that gas station, maybe it was a long day, 212 00:13:30,360 --> 00:13:32,720 Speaker 1: Maybe it's a great day, hard day. Who knows. Maybe 213 00:13:32,720 --> 00:13:35,200 Speaker 1: I'm getting that that feeling like I want to dip 214 00:13:35,240 --> 00:13:37,640 Speaker 1: in my lip. I can keep going and go to 215 00:13:37,720 --> 00:13:40,560 Speaker 1: my house where I have gosh like twenty five cans 216 00:13:40,600 --> 00:13:44,080 Speaker 1: of Black Buffalo, every flavor waiting for me. And I 217 00:13:44,120 --> 00:13:48,440 Speaker 1: don't get all the gunk. You you're gonna have it 218 00:13:48,480 --> 00:13:50,800 Speaker 1: for twenty five percent off. Go to Black Buffalo dot 219 00:13:50,800 --> 00:13:53,520 Speaker 1: com used to promo code Jesse, and you get it 220 00:13:53,559 --> 00:13:58,440 Speaker 1: for twenty five percent off Black Buffalo dot com code Jesse. 221 00:13:59,240 --> 00:14:12,840 Speaker 1: We'll be bad. But what about people on fixed incomes? 222 00:14:12,920 --> 00:14:15,720 Speaker 1: They have always been the true victims of inflation. That's 223 00:14:15,760 --> 00:14:19,480 Speaker 1: why I will present to Congress the Inflation maintenance program, 224 00:14:19,520 --> 00:14:21,840 Speaker 1: where by the US Treasury will make up any inflation 225 00:14:21,880 --> 00:14:26,160 Speaker 1: cost losses through direct tax rebates to the public and cash. Now, 226 00:14:26,200 --> 00:14:28,000 Speaker 1: you may say, won't that cost a lot of money? 227 00:14:28,240 --> 00:14:32,200 Speaker 1: Won't that increase the deficit? Sure it will, But so what, 228 00:14:32,600 --> 00:14:36,520 Speaker 1: We'll just print more money. We have the papers, we 229 00:14:36,680 --> 00:14:39,440 Speaker 1: have the mints. I can just call up the Bureau 230 00:14:39,440 --> 00:14:44,440 Speaker 1: of Engraving and say, Hi, this is Jemma, roll off 231 00:14:44,480 --> 00:14:48,920 Speaker 1: some of them twenties. Print up a couple of thousand 232 00:14:49,000 --> 00:14:52,240 Speaker 1: sheets of those century notes. Sure the glot of dollars 233 00:14:52,240 --> 00:14:55,560 Speaker 1: will cause even more inflation, but who cares. Everybody will 234 00:14:55,600 --> 00:15:00,000 Speaker 1: be a million. That was funny back in nineteen seven, 235 00:15:00,000 --> 00:15:02,240 Speaker 1: and the eight unto it became a reality. Joining me 236 00:15:02,320 --> 00:15:06,200 Speaker 1: now my friend Carol Roth, recovering investment banker and author 237 00:15:06,280 --> 00:15:09,720 Speaker 1: of the great book The War on Small Business. Carol, 238 00:15:10,480 --> 00:15:13,280 Speaker 1: I mean that was so odd when we came across 239 00:15:13,320 --> 00:15:15,240 Speaker 1: that video for me, because it was so odd. There 240 00:15:15,320 --> 00:15:18,280 Speaker 1: was a point in time where the American people were 241 00:15:18,320 --> 00:15:22,640 Speaker 1: actually educated by the things they see on television, and 242 00:15:22,760 --> 00:15:26,200 Speaker 1: they actually knew reality and new things about inflation. And 243 00:15:26,240 --> 00:15:29,320 Speaker 1: that was an era where we all didn't have smartphones, Carol, 244 00:15:29,320 --> 00:15:34,200 Speaker 1: where there's endless information available right here. Why are we dumber? Now? Well, 245 00:15:34,240 --> 00:15:38,280 Speaker 1: obviously information does not make you smarter. I think we've 246 00:15:38,440 --> 00:15:42,520 Speaker 1: found the correlation that it makes you less intelligent. You know, 247 00:15:42,760 --> 00:15:45,440 Speaker 1: it would be funny, Jesse, if you could actually tell 248 00:15:45,480 --> 00:15:49,560 Speaker 1: the truth between what is parity and what is reality. 249 00:15:49,600 --> 00:15:53,080 Speaker 1: And I feel like it has gotten all jumbled together. 250 00:15:53,360 --> 00:15:58,560 Speaker 1: And certainly within our financial institutions, and our economic institutions 251 00:15:58,560 --> 00:16:03,120 Speaker 1: and our educational institutions, there has been not only little 252 00:16:03,200 --> 00:16:07,000 Speaker 1: done to educate people, but I think that it's intentionally 253 00:16:07,360 --> 00:16:10,880 Speaker 1: that we've taken away that type of education so that 254 00:16:10,920 --> 00:16:13,840 Speaker 1: the average American doesn't understand what they're signing up for, 255 00:16:14,080 --> 00:16:18,640 Speaker 1: you know, whether it is predatory loans for seventeen year 256 00:16:18,640 --> 00:16:21,040 Speaker 1: olds who want to go off to college given by 257 00:16:21,080 --> 00:16:25,000 Speaker 1: the government, or you know, not understanding the effects that 258 00:16:25,040 --> 00:16:28,400 Speaker 1: if we give you this one thousand dollars stimulus check, 259 00:16:28,440 --> 00:16:31,280 Speaker 1: after we've printed trillions of dollars and are doing your 260 00:16:31,280 --> 00:16:34,120 Speaker 1: trillions more of spending, that you're going to end up 261 00:16:34,120 --> 00:16:37,400 Speaker 1: now next year paying for that thousand dollars with five 262 00:16:37,480 --> 00:16:41,320 Speaker 1: thousand more in expenses. People don't have this basic level 263 00:16:41,320 --> 00:16:44,720 Speaker 1: of an understanding, and it works out great for the government, 264 00:16:44,840 --> 00:16:47,560 Speaker 1: because the people look for the government to save them 265 00:16:47,600 --> 00:16:51,120 Speaker 1: for the exact problems that the government cause. Go to 266 00:16:51,160 --> 00:16:54,320 Speaker 1: the arsonis you burn down your house to help you 267 00:16:54,360 --> 00:16:56,880 Speaker 1: with your go funding campaign. It really makes a lot 268 00:16:56,880 --> 00:17:03,440 Speaker 1: of sense. Coul that's own so evil. I mean I 269 00:17:03,440 --> 00:17:06,080 Speaker 1: need to even use the word. But we're talking about 270 00:17:06,080 --> 00:17:10,359 Speaker 1: a government that intentionally makes its citizens dumbers so we 271 00:17:10,480 --> 00:17:14,600 Speaker 1: can wallow in even more corruption. I'm sorry. You want 272 00:17:14,600 --> 00:17:17,840 Speaker 1: to have another way to put that that sounds evil, Yeah, 273 00:17:17,880 --> 00:17:20,920 Speaker 1: I mean it's human nature. And if you're a student 274 00:17:20,960 --> 00:17:23,000 Speaker 1: of human nature, and I know that you are, Jesse, 275 00:17:23,119 --> 00:17:26,080 Speaker 1: you know that's what's happened through all of time and history. 276 00:17:26,240 --> 00:17:29,280 Speaker 1: When you get people who even have good intentions in 277 00:17:29,440 --> 00:17:33,640 Speaker 1: positions of power, there are only certain ways to accumulate 278 00:17:33,760 --> 00:17:38,719 Speaker 1: more power. And you know some of that is by deception, 279 00:17:38,960 --> 00:17:41,880 Speaker 1: and that's really the reality of what happens. You need 280 00:17:42,000 --> 00:17:45,639 Speaker 1: if you want to get more campaign contributions, if you 281 00:17:45,680 --> 00:17:47,680 Speaker 1: want to continue to be reelected, if you want to 282 00:17:47,680 --> 00:17:50,560 Speaker 1: have more things under your purview that you can direct 283 00:17:50,960 --> 00:17:54,479 Speaker 1: to make you important, you know you need to have 284 00:17:54,640 --> 00:17:58,679 Speaker 1: that consolidation. If the government did the things work that 285 00:17:58,720 --> 00:18:01,360 Speaker 1: it was intended to do, we wouldn't be having these 286 00:18:01,400 --> 00:18:04,360 Speaker 1: problems because there would be very little under its purview 287 00:18:04,400 --> 00:18:07,640 Speaker 1: on a federal level. But as we've given up more 288 00:18:07,640 --> 00:18:09,879 Speaker 1: and more of our rights and shifted more of the power, 289 00:18:09,920 --> 00:18:13,199 Speaker 1: and we've gotten that centralized power, I think that you 290 00:18:13,200 --> 00:18:19,719 Speaker 1: are absolutely fair to call it evil, Carol. The jobs report, 291 00:18:20,160 --> 00:18:23,120 Speaker 1: I'm seeing a lot of sunshine on this thing from 292 00:18:23,560 --> 00:18:26,119 Speaker 1: from the Biden administration. They've got this bad boy spit 293 00:18:26,160 --> 00:18:28,840 Speaker 1: polished at this point in time. Would you mind elaborating 294 00:18:28,840 --> 00:18:32,439 Speaker 1: on the Job's report for me, Carol? So you know, 295 00:18:32,520 --> 00:18:36,120 Speaker 1: I think in all of this economic mess that we 296 00:18:36,240 --> 00:18:41,800 Speaker 1: have jobs. You know, certainly are the brightest spot. But 297 00:18:41,960 --> 00:18:44,640 Speaker 1: just because you're the brightest spot, it doesn't mean that 298 00:18:44,720 --> 00:18:47,159 Speaker 1: it's a bright spot. It's kind of like being the 299 00:18:47,200 --> 00:18:50,000 Speaker 1: skinniest kid at fat camp, right, So like you can 300 00:18:50,040 --> 00:18:53,200 Speaker 1: claim at some victory there in your domain, but it's 301 00:18:53,200 --> 00:18:56,560 Speaker 1: not necessarily something that people want to strive for. So 302 00:18:56,680 --> 00:19:00,560 Speaker 1: the reality is that we are reclaiming more jobs, all 303 00:19:00,600 --> 00:19:03,680 Speaker 1: those jobs that were lost because the government said you 304 00:19:03,720 --> 00:19:06,080 Speaker 1: can't go to work, We're going to close down the 305 00:19:06,119 --> 00:19:09,840 Speaker 1: places that you work for. We've obviously never had anything 306 00:19:09,880 --> 00:19:12,959 Speaker 1: like that on that scale done before, and we still 307 00:19:13,040 --> 00:19:16,359 Speaker 1: have not claimed reclaimed all of those jobs to the 308 00:19:16,400 --> 00:19:18,720 Speaker 1: point where we were at at February twenty twent We're close, 309 00:19:18,760 --> 00:19:22,000 Speaker 1: We're about ninety three percent of the way there, but 310 00:19:22,080 --> 00:19:24,159 Speaker 1: we should have been, you know, much further along by now. 311 00:19:24,200 --> 00:19:27,399 Speaker 1: But they're going to say, wow, we created all these jobs. Again, 312 00:19:27,760 --> 00:19:30,480 Speaker 1: you don't burn the house down rebuilding and say we 313 00:19:30,920 --> 00:19:33,360 Speaker 1: created a new house. It's it's the same house, it's 314 00:19:33,359 --> 00:19:37,240 Speaker 1: the same job. So we have that issue. We have 315 00:19:37,400 --> 00:19:40,240 Speaker 1: fewer people who are in the workforce, and we don't 316 00:19:40,240 --> 00:19:44,240 Speaker 1: have anything the Biden administration is doing to help get 317 00:19:44,280 --> 00:19:47,720 Speaker 1: more people into the workforce. And even though wages are 318 00:19:47,880 --> 00:19:51,520 Speaker 1: up on a record basis, inflation is up on a 319 00:19:51,600 --> 00:19:56,160 Speaker 1: record basis, and wages haven't kept pace with inflation. So 320 00:19:56,280 --> 00:19:59,639 Speaker 1: you're still not doing as well as you would have 321 00:20:00,040 --> 00:20:03,000 Speaker 1: had that none of this ever happened. So again, like 322 00:20:03,040 --> 00:20:05,240 Speaker 1: I never want to root against the economy, I never 323 00:20:05,240 --> 00:20:07,359 Speaker 1: want to root against any of this happening. We have 324 00:20:07,480 --> 00:20:11,040 Speaker 1: to say, yes, it is there is some strength in 325 00:20:11,080 --> 00:20:13,879 Speaker 1: that market, but it's certainly not at the level that 326 00:20:13,960 --> 00:20:20,760 Speaker 1: it's being portrayed via the spin coming out of the administration. Carol. 327 00:20:20,840 --> 00:20:22,920 Speaker 1: On a macro level, I mean, you're the purpose want 328 00:20:22,920 --> 00:20:25,280 Speaker 1: to ask this question too, because you wrote the book 329 00:20:25,280 --> 00:20:28,520 Speaker 1: The War on Small Business. I know we hemorrhaged a 330 00:20:28,560 --> 00:20:31,720 Speaker 1: lot of small businesses over the last two years. Obviously, 331 00:20:31,720 --> 00:20:34,280 Speaker 1: the small mom and pop can't would stand a shutdown 332 00:20:34,320 --> 00:20:37,840 Speaker 1: for two months Walmart. Can I understand that. Yeah, on 333 00:20:37,920 --> 00:20:41,120 Speaker 1: a macro level, what are we seeing as far as 334 00:20:41,160 --> 00:20:45,639 Speaker 1: how that has changed what our economy looks like? So 335 00:20:46,200 --> 00:20:50,280 Speaker 1: very interesting phenomenon because you had a period where people 336 00:20:50,359 --> 00:20:53,359 Speaker 1: weren't able to go to work and the government was 337 00:20:53,440 --> 00:20:56,640 Speaker 1: giving them stimulus, and the markets were doing well, so 338 00:20:56,680 --> 00:20:59,560 Speaker 1: you had all of these people who decided that they 339 00:20:59,600 --> 00:21:02,879 Speaker 1: wanted to be date traders or to shift or to 340 00:21:02,960 --> 00:21:05,399 Speaker 1: sell things on Etsy, you know, those kinds of things. 341 00:21:05,840 --> 00:21:10,360 Speaker 1: So net net, we've actually seen on a numbers basis, 342 00:21:10,880 --> 00:21:14,680 Speaker 1: more small businesses now than you've had before, even with 343 00:21:14,760 --> 00:21:17,439 Speaker 1: all of the ones that have been killed off. I 344 00:21:17,520 --> 00:21:20,320 Speaker 1: think that it's going to take a couple of years 345 00:21:20,320 --> 00:21:23,639 Speaker 1: for this to suss out. You know, once people say, well, 346 00:21:23,680 --> 00:21:26,119 Speaker 1: you know, I try this little hobby during COVID and 347 00:21:26,160 --> 00:21:28,679 Speaker 1: it's not going to be sustainable. Oh inflation, I need 348 00:21:28,720 --> 00:21:31,640 Speaker 1: to get back to work. And then also to kind 349 00:21:31,680 --> 00:21:35,359 Speaker 1: of look at the jobs because you know, with inflation 350 00:21:35,600 --> 00:21:37,560 Speaker 1: and the fact that we have about one point eight 351 00:21:37,640 --> 00:21:41,720 Speaker 1: jobs available for every job seeker out there, small businesses 352 00:21:41,720 --> 00:21:44,800 Speaker 1: are having a very difficult time to compete. So I imagine, 353 00:21:45,000 --> 00:21:47,439 Speaker 1: you know, eighteen to twenty four months from now, in 354 00:21:47,520 --> 00:21:50,600 Speaker 1: terms of the number of small businesses and the percentage 355 00:21:50,640 --> 00:21:53,840 Speaker 1: of jobs created, as well as the percentage of the economy, 356 00:21:53,880 --> 00:21:57,320 Speaker 1: you're going to see that creep towards the bigger businesses 357 00:21:57,720 --> 00:22:00,679 Speaker 1: and more of that centralized power and away from the 358 00:22:00,720 --> 00:22:05,080 Speaker 1: small businesses. Well that's not good, all right. The big 359 00:22:05,119 --> 00:22:09,159 Speaker 1: financial news of the day has everyone talking and everyone confused. 360 00:22:09,240 --> 00:22:11,960 Speaker 1: Elon Musk went out and spend over a couple bill 361 00:22:12,320 --> 00:22:16,240 Speaker 1: to buy nine percent steak in Twitter, making him the 362 00:22:16,320 --> 00:22:20,520 Speaker 1: largest outside shareholder. Carol, what do any of those words mean? 363 00:22:23,880 --> 00:22:28,120 Speaker 1: So basically, Twitter is a publicly traded company, and any 364 00:22:28,160 --> 00:22:31,240 Speaker 1: of us can go into the market and purchase a steak. 365 00:22:31,840 --> 00:22:34,680 Speaker 1: If you have a lot of money and you purchase 366 00:22:34,960 --> 00:22:38,160 Speaker 1: a five percent or more of any given company that's 367 00:22:38,200 --> 00:22:42,320 Speaker 1: publicly traded, you have to file a disclosure statement. And 368 00:22:42,440 --> 00:22:45,560 Speaker 1: so through this disclosure we learn that he has purchased 369 00:22:45,640 --> 00:22:50,600 Speaker 1: over nine percent of the company, making him individually the 370 00:22:50,880 --> 00:22:54,800 Speaker 1: current biggest owner, even more than Jack Dorsey who founded 371 00:22:54,840 --> 00:22:57,879 Speaker 1: the company. And you know, there are a lot of 372 00:22:57,880 --> 00:23:00,639 Speaker 1: things to break down here, you know, around on the stock, 373 00:23:00,720 --> 00:23:03,679 Speaker 1: around Elon. I know a lot of people are really 374 00:23:03,720 --> 00:23:08,119 Speaker 1: excited about this, but you have to understand that not 375 00:23:08,240 --> 00:23:10,560 Speaker 1: only do we need to focus on principles and not 376 00:23:10,640 --> 00:23:13,679 Speaker 1: just people because you don't know what Elon's going to do. 377 00:23:13,720 --> 00:23:15,800 Speaker 1: I mean, this might just be a really expensive troll 378 00:23:16,200 --> 00:23:20,040 Speaker 1: knowing Elon Musk, but it opens the door for others, 379 00:23:20,080 --> 00:23:22,720 Speaker 1: you know, maybe a Jeff Bezos or someone else who 380 00:23:22,760 --> 00:23:26,359 Speaker 1: has crazy funny money to spend to go out and 381 00:23:26,480 --> 00:23:29,480 Speaker 1: potentially make a play for Twitter. I think what it 382 00:23:29,560 --> 00:23:32,520 Speaker 1: says about the company is that there's a lot of 383 00:23:32,560 --> 00:23:36,080 Speaker 1: opportunity to unlock there, both in terms of it being 384 00:23:36,240 --> 00:23:41,439 Speaker 1: a powerful asset as well as money creation opportunities that 385 00:23:41,520 --> 00:23:46,600 Speaker 1: haven't been realized. Kill Roth, Thank you for making it smarter. 386 00:23:48,080 --> 00:23:53,480 Speaker 1: My pleasure. All right, We still have Pastor Daryl Scotty's 387 00:23:53,560 --> 00:23:55,520 Speaker 1: joining us. Next we have a great light in the 388 00:23:55,560 --> 00:23:58,639 Speaker 1: mood denied all that is still coming. But first, I 389 00:23:58,760 --> 00:24:02,880 Speaker 1: get these questions all the time, and these are the questions, Jesse, 390 00:24:03,840 --> 00:24:07,080 Speaker 1: I don't know where to shop, Jesse, this business sucks. 391 00:24:07,200 --> 00:24:10,320 Speaker 1: I don't know. I don't have a replacement, Jesse. I 392 00:24:10,400 --> 00:24:12,400 Speaker 1: want to go to this, I want to buy this, 393 00:24:12,680 --> 00:24:14,480 Speaker 1: but I don't want to buy from someone who doesn't 394 00:24:14,480 --> 00:24:16,720 Speaker 1: share my values. And I'll tell you what. I have 395 00:24:16,800 --> 00:24:19,480 Speaker 1: those questions all the time. I hate it. Can I 396 00:24:19,520 --> 00:24:21,800 Speaker 1: walk in this store? Am I gonna be funding someone 397 00:24:21,840 --> 00:24:25,800 Speaker 1: who hates me? I have a solution for you. Public 398 00:24:26,200 --> 00:24:29,400 Speaker 1: sq Well, to their credit, they have the solution. I'm 399 00:24:29,400 --> 00:24:31,560 Speaker 1: just telling you about it right there in your app 400 00:24:31,640 --> 00:24:37,080 Speaker 1: store Apple, Google Play, Go download public sq. What are 401 00:24:37,080 --> 00:24:40,120 Speaker 1: you gonna find. You're gonna find the resource. It's going 402 00:24:40,160 --> 00:24:43,240 Speaker 1: to tell you which coffee shop shares your values and 403 00:24:43,320 --> 00:24:45,800 Speaker 1: which one doesn't. You're gonna find where you should go 404 00:24:45,840 --> 00:24:50,040 Speaker 1: buy lumber. You're gonna find that tire's shop you should patronize. 405 00:24:50,600 --> 00:25:05,080 Speaker 1: Public sq Go download it today. We'll be back And 406 00:25:05,160 --> 00:25:08,080 Speaker 1: I'm deeply proud of the work she's doing. His first 407 00:25:08,119 --> 00:25:13,320 Speaker 1: Lady with Joined Forces initiative. She started with Michelle Obama 408 00:25:13,359 --> 00:25:19,240 Speaker 1: when she was vice president and now carries on Joining 409 00:25:19,280 --> 00:25:22,120 Speaker 1: me Now. My friend pastor Darryl Scott. He's the author 410 00:25:22,200 --> 00:25:25,040 Speaker 1: of the book Nothing to Lose, Unlike the Allies and 411 00:25:25,080 --> 00:25:27,879 Speaker 1: the struggle for a better Black America. Pastor, I'll be 412 00:25:27,880 --> 00:25:30,840 Speaker 1: honest with you. I have these moments where I sit 413 00:25:30,920 --> 00:25:33,280 Speaker 1: back when Joe has moments like that, and I think 414 00:25:33,880 --> 00:25:37,280 Speaker 1: three hundred and thirty million people, and that's who we 415 00:25:37,359 --> 00:25:40,639 Speaker 1: have leading the country. That has to be a symptom 416 00:25:40,800 --> 00:25:43,840 Speaker 1: of something, right. I mean, that does say something about 417 00:25:43,840 --> 00:25:49,080 Speaker 1: our society and it's not good. Well, you got I 418 00:25:49,160 --> 00:25:52,360 Speaker 1: look at it this way. You know, little babies, I'm 419 00:25:52,440 --> 00:25:56,399 Speaker 1: notyoas for telling the truth. And then when you get 420 00:25:56,480 --> 00:25:59,080 Speaker 1: old and see, now you've been getting the toyous for 421 00:25:59,160 --> 00:26:01,240 Speaker 1: telling the truth. And Joe let the cat out of 422 00:26:01,240 --> 00:26:04,400 Speaker 1: the bag. His wife was the real vice president back then. 423 00:26:04,560 --> 00:26:09,399 Speaker 1: It wasn't him. He was just the frontman. But she 424 00:26:09,600 --> 00:26:12,440 Speaker 1: was pulling all of the strains and he just let 425 00:26:12,440 --> 00:26:18,200 Speaker 1: the cat out the bag. Pastor. The whole trans thing 426 00:26:18,400 --> 00:26:22,560 Speaker 1: has fascinated me for quite some time because I've looked 427 00:26:22,560 --> 00:26:24,960 Speaker 1: at it as such a black and white issue where 428 00:26:25,000 --> 00:26:27,680 Speaker 1: I feel like the people who push it are such 429 00:26:27,680 --> 00:26:31,600 Speaker 1: a tiny percentage of our population and most of the country, 430 00:26:31,880 --> 00:26:35,840 Speaker 1: even Democrats look at that issue and they all agree that, Okay, 431 00:26:35,880 --> 00:26:38,760 Speaker 1: this is nutty, this is insane. A guy can't lock 432 00:26:38,880 --> 00:26:40,880 Speaker 1: off his twig and bits and become a woman, become 433 00:26:40,920 --> 00:26:43,320 Speaker 1: a woman. That just doesn't make any sense. And Joe 434 00:26:43,359 --> 00:26:46,840 Speaker 1: Biden's out there this weekend, he's well, this is what 435 00:26:46,880 --> 00:26:52,000 Speaker 1: he had to say to everyone's celebrating transgender Day of Visibility. 436 00:26:52,400 --> 00:26:55,880 Speaker 1: I want you to know that your president sees you, Joe, 437 00:26:56,080 --> 00:26:59,200 Speaker 1: come on a doug. Our entire administration sees you for 438 00:26:59,320 --> 00:27:02,360 Speaker 1: who you are, made an image of God and deserving 439 00:27:02,359 --> 00:27:06,240 Speaker 1: the dignity of respect and support to parents of transgender children. 440 00:27:06,760 --> 00:27:08,720 Speaker 1: Affirming your childs with then any one of the most 441 00:27:08,760 --> 00:27:12,840 Speaker 1: powerful things you can do to keep them safe and healthy. Okay, 442 00:27:12,840 --> 00:27:16,760 Speaker 1: all that's detestable, But pastor, is this a loser for them? 443 00:27:16,840 --> 00:27:19,640 Speaker 1: It's this a loser for them? Right? First of all, 444 00:27:19,680 --> 00:27:25,760 Speaker 1: here we are with our politicians trying to normalize abnormal behavior, 445 00:27:25,880 --> 00:27:30,960 Speaker 1: abnormal practices. The Bible says man was made in the 446 00:27:30,960 --> 00:27:33,240 Speaker 1: image of God, an image of God made him male, 447 00:27:33,359 --> 00:27:38,120 Speaker 1: and female made he them. Jesus reiterated them by saying, 448 00:27:38,119 --> 00:27:41,600 Speaker 1: in the beginning God made male and female. There was 449 00:27:41,640 --> 00:27:44,679 Speaker 1: no hybrid, there was no once you were this, and 450 00:27:44,760 --> 00:27:47,000 Speaker 1: now you were turned into that. He's trying to normalize 451 00:27:47,000 --> 00:27:50,520 Speaker 1: the abnormal behaby and it's actually quite disgusting if you 452 00:27:50,600 --> 00:27:52,480 Speaker 1: want to know the truth, and you know what they're 453 00:27:52,520 --> 00:27:57,959 Speaker 1: looking at it simply for political cache. They're doing this 454 00:27:58,000 --> 00:28:00,800 Speaker 1: because they recognize that there is a voting block out there, 455 00:28:01,040 --> 00:28:03,800 Speaker 1: and they want to not only the transgender vote, but 456 00:28:03,840 --> 00:28:07,520 Speaker 1: they want those that are influenced by the transgender vote 457 00:28:07,640 --> 00:28:11,240 Speaker 1: to extend until the entire LGBTQ community. It doesn't mean 458 00:28:11,280 --> 00:28:13,840 Speaker 1: that promise, heart, He couldn't mean that promise. Hiding whoever's 459 00:28:13,920 --> 00:28:18,480 Speaker 1: right against speeches. They need somebody to he need a 460 00:28:18,480 --> 00:28:22,280 Speaker 1: new speech writer because this stuff is nonsense. Is this 461 00:28:22,400 --> 00:28:25,040 Speaker 1: one of those issues? I mean, these happened to countries, 462 00:28:25,040 --> 00:28:27,159 Speaker 1: that's happened to our country before several times in the 463 00:28:27,200 --> 00:28:29,480 Speaker 1: past with various issues. Is this one of those issues 464 00:28:29,680 --> 00:28:32,119 Speaker 1: that will be a bridge too far for too many people? 465 00:28:32,119 --> 00:28:34,879 Speaker 1: And it's really going to contribute to getting Democrats wiped 466 00:28:34,880 --> 00:28:37,159 Speaker 1: out probably in the midterms, and god willing, in twenty 467 00:28:37,200 --> 00:28:40,560 Speaker 1: twenty four whether it should once again, they're trying to 468 00:28:40,600 --> 00:28:46,400 Speaker 1: normalize abnormal behavior, and they want to try to systematically 469 00:28:48,000 --> 00:28:53,040 Speaker 1: normalize abnormality to our children. If they start featuring these 470 00:28:53,280 --> 00:28:56,280 Speaker 1: these the transgenders that features the members of this community 471 00:28:56,280 --> 00:28:59,160 Speaker 1: and prominent places. It tells our children who are not 472 00:28:59,280 --> 00:29:02,480 Speaker 1: yet even really thinking about sexuality. I mean, I wasn't 473 00:29:02,480 --> 00:29:04,920 Speaker 1: thinking about sexuality when I was three years old. Now, 474 00:29:04,960 --> 00:29:08,719 Speaker 1: when I was kindergarten, I did like a girl. Kimberly Brands, Kimberly, 475 00:29:08,840 --> 00:29:11,120 Speaker 1: you wrote my heart. Kimberly, you wrote my heart. We 476 00:29:11,160 --> 00:29:16,080 Speaker 1: went kindergarten. I waited, Hey, Jesse, I waited fifty eight 477 00:29:16,160 --> 00:29:19,640 Speaker 1: years to say that. But I was in the first 478 00:29:19,680 --> 00:29:22,920 Speaker 1: grade and I liked a girl, and there was nothing 479 00:29:22,960 --> 00:29:25,280 Speaker 1: wrong with me liking a girl in the in the 480 00:29:25,440 --> 00:29:30,120 Speaker 1: in the kindergarten, and that was normal for me. Now, 481 00:29:30,160 --> 00:29:34,400 Speaker 1: if someone comes along and tries to make my attraction 482 00:29:34,440 --> 00:29:38,840 Speaker 1: to the female sex abnormal and make attracted to the 483 00:29:38,880 --> 00:29:41,320 Speaker 1: same sex normal, I've got a problem with that. And 484 00:29:41,360 --> 00:29:44,080 Speaker 1: it seems like that's what they're doing. Now. You can 485 00:29:44,120 --> 00:29:47,440 Speaker 1: talk about a heterosexual you won't be criticized, But you 486 00:29:47,560 --> 00:29:52,440 Speaker 1: better not talk about any of the alphabet communities people pastor. 487 00:29:52,480 --> 00:29:54,880 Speaker 1: There was a terrible shooting in Sacramento this weekend. We 488 00:29:54,920 --> 00:29:56,960 Speaker 1: don't have to get into details of all of it. 489 00:29:57,000 --> 00:29:59,240 Speaker 1: I don't I don't like jumping in on these mass shootings. 490 00:29:59,240 --> 00:30:02,240 Speaker 1: And I don't like when other people do. Joe Biden 491 00:30:02,320 --> 00:30:05,160 Speaker 1: immediately comes out and calls for a band on assault weapons. 492 00:30:05,160 --> 00:30:08,280 Speaker 1: Obama did this all the time, and on a broader 493 00:30:08,320 --> 00:30:10,960 Speaker 1: thing beyond the people of Sacramento when prayers for all them. 494 00:30:11,920 --> 00:30:15,320 Speaker 1: I think this has actually done a lot to contribute 495 00:30:15,320 --> 00:30:17,480 Speaker 1: to the divide of the nation, the fact that we 496 00:30:17,520 --> 00:30:20,960 Speaker 1: as a country never come together ever anymore after anything, 497 00:30:21,240 --> 00:30:24,600 Speaker 1: because the Communists pounce on everything as an opportunity to 498 00:30:24,800 --> 00:30:27,520 Speaker 1: politic and so we can't just mourn. We can't just 499 00:30:27,640 --> 00:30:31,920 Speaker 1: come together everybody left, right, middle, race, religion, and everybody 500 00:30:31,960 --> 00:30:35,120 Speaker 1: just take a minute and mourn something tragic. The fact 501 00:30:35,120 --> 00:30:38,760 Speaker 1: that we can't do that has increased the animosity. Am 502 00:30:38,760 --> 00:30:42,400 Speaker 1: I wrong? No, You're not wrong. It's because the Democrats 503 00:30:42,400 --> 00:30:47,760 Speaker 1: seek to politicize everything, and they'll take individual action and 504 00:30:47,880 --> 00:30:51,520 Speaker 1: try to have a collective response. In other words, we 505 00:30:51,600 --> 00:30:54,600 Speaker 1: have an individual shoot Mass shootings are not the norm 506 00:30:54,720 --> 00:31:00,240 Speaker 1: in America. They happen. We have hundreds of hundreds of 507 00:31:00,280 --> 00:31:03,200 Speaker 1: people in this country. They're going to happen. But you 508 00:31:03,320 --> 00:31:07,200 Speaker 1: can't say I'm going to penalize the responsible gun owners 509 00:31:07,520 --> 00:31:10,600 Speaker 1: because there's an irresponsible gun possessive you're not going to 510 00:31:10,640 --> 00:31:15,320 Speaker 1: penalize the legal drivers because an illegal driver did something wrong. 511 00:31:15,480 --> 00:31:17,120 Speaker 1: And that's what they're trying to do it, and they're 512 00:31:17,160 --> 00:31:20,640 Speaker 1: trying to do it to score political talking points and 513 00:31:20,720 --> 00:31:24,400 Speaker 1: to enhance whatever side of that spectrum that they're on. 514 00:31:24,760 --> 00:31:27,040 Speaker 1: That's all let us more on, let us do it 515 00:31:27,080 --> 00:31:29,040 Speaker 1: and let us look at it, or in case by 516 00:31:29,080 --> 00:31:31,880 Speaker 1: case individual basis, they're trying to say, oh, well, one 517 00:31:31,960 --> 00:31:34,720 Speaker 1: guy shot up some people, we have to ban all guns. 518 00:31:34,840 --> 00:31:38,960 Speaker 1: You can't do that, pastor. We got word over the 519 00:31:39,000 --> 00:31:43,080 Speaker 1: weekend that Joe Biden really wants the DOJ to go 520 00:31:43,320 --> 00:31:46,160 Speaker 1: after Donald Trump. For people who spent a lot of 521 00:31:46,240 --> 00:31:49,800 Speaker 1: time calling Trump and his people fascists, I think maybe 522 00:31:49,800 --> 00:31:54,840 Speaker 1: they should look up the definition. Well, you know, they're 523 00:31:55,360 --> 00:32:00,440 Speaker 1: trying to do what they criticize Trump for what they 524 00:32:00,520 --> 00:32:03,880 Speaker 1: accused him of doing, which was weaponizing the d O. 525 00:32:04,120 --> 00:32:09,040 Speaker 1: J Obama was notorious that you don't weaponize the the 526 00:32:09,120 --> 00:32:13,000 Speaker 1: DJ for a political agenda or for personal reasons, and 527 00:32:13,040 --> 00:32:15,680 Speaker 1: that's what he's trying to do. They are afraid of 528 00:32:15,840 --> 00:32:18,959 Speaker 1: Donald Trump. Twenty twenty four. Biden is doing such a 529 00:32:18,960 --> 00:32:20,920 Speaker 1: bad job. I mean, we knew it was gonna be bad. 530 00:32:21,080 --> 00:32:22,680 Speaker 1: We didn't know it was going to be this bad. 531 00:32:23,200 --> 00:32:26,560 Speaker 1: And Trump is the odds on favorite for twenty four 532 00:32:26,640 --> 00:32:28,640 Speaker 1: and they're trying to get in front of this. We 533 00:32:28,680 --> 00:32:31,120 Speaker 1: don't want the guy to even be able to run. 534 00:32:31,520 --> 00:32:33,840 Speaker 1: I mean, if you if you want by ten million 535 00:32:33,960 --> 00:32:36,760 Speaker 1: votes before, like you claim, if you said you had 536 00:32:36,760 --> 00:32:39,360 Speaker 1: a record number of voters vote for you. Why should 537 00:32:39,480 --> 00:32:42,880 Speaker 1: should be afraid of any potential contender? Why shouldn't you 538 00:32:42,920 --> 00:32:45,680 Speaker 1: be afraid of the guy that you claim you beat before. 539 00:32:46,120 --> 00:32:48,280 Speaker 1: But they're trying to weaponize the DJ in order to 540 00:32:48,280 --> 00:32:51,760 Speaker 1: prevent him from running again because they feel the consequences. 541 00:32:53,200 --> 00:32:56,239 Speaker 1: Pastor Jerrold Scott, thank you so much, service, Thanks for 542 00:32:56,280 --> 00:33:00,560 Speaker 1: having me man always a pleasure. All Right, we have 543 00:33:00,640 --> 00:33:04,120 Speaker 1: Liz Harrington, Trump spokesperson, She joins us. Next. Before we 544 00:33:04,200 --> 00:33:06,720 Speaker 1: get to Liz, though, let's have a talk about you 545 00:33:07,320 --> 00:33:12,959 Speaker 1: and make Do you get allergies? I used to, and 546 00:33:13,080 --> 00:33:16,200 Speaker 1: I mean bad ones, not so much the sniffles, a 547 00:33:16,240 --> 00:33:18,160 Speaker 1: little bit of that. I would get them so bad 548 00:33:18,160 --> 00:33:20,400 Speaker 1: in my eyes kind of think where I'd wake up 549 00:33:20,400 --> 00:33:22,400 Speaker 1: in the morning and I have tears running down the 550 00:33:22,440 --> 00:33:25,000 Speaker 1: side of my face, look like I just watched old Yeller. 551 00:33:26,080 --> 00:33:28,760 Speaker 1: I don't have them anymore because I have the greatest 552 00:33:28,800 --> 00:33:31,320 Speaker 1: freaking air purifier ever. Actually I have three of them 553 00:33:31,360 --> 00:33:36,040 Speaker 1: to be specific. You see even pure thunderstorm. It's called 554 00:33:36,080 --> 00:33:40,320 Speaker 1: the thunderstorm because it does inside your home what nature 555 00:33:40,400 --> 00:33:44,200 Speaker 1: does after a thunderstorm, constantly cleaning the air. That's how 556 00:33:44,240 --> 00:33:46,480 Speaker 1: it takes out all the motor all the odors, and 557 00:33:46,600 --> 00:33:49,480 Speaker 1: kills the viruses, and kills the mold. And that's how 558 00:33:49,520 --> 00:33:52,360 Speaker 1: it fixed my allergies. I keep one where I sleep, 559 00:33:52,760 --> 00:33:54,720 Speaker 1: keep one where my son's sleep, keep one in the 560 00:33:54,760 --> 00:33:57,680 Speaker 1: living area. I would highly recommend you do the same. 561 00:33:58,480 --> 00:34:02,000 Speaker 1: They have a three pack for sale for my viewers. 562 00:34:02,400 --> 00:34:05,400 Speaker 1: Go to Eden Pure deals dot com and use the 563 00:34:05,480 --> 00:34:08,720 Speaker 1: code Jesse and you get a three pack for two 564 00:34:09,280 --> 00:34:13,120 Speaker 1: hundred dollars off with that promo code Eden pure deals 565 00:34:13,160 --> 00:34:26,440 Speaker 1: dot com code Jesse, We'll be back. We believe that 566 00:34:26,760 --> 00:34:33,200 Speaker 1: seven percent of the mail in ballots, approximately one point 567 00:34:33,280 --> 00:34:40,920 Speaker 1: nine million I think here in Wisconsin, were cast as 568 00:34:40,960 --> 00:34:43,840 Speaker 1: a result of trafficking. This is a number that should 569 00:34:43,880 --> 00:34:49,520 Speaker 1: concern everyone. There's four point eight million votes that were 570 00:34:49,560 --> 00:34:55,760 Speaker 1: cast nationally or so in this fashion. It's quite evident 571 00:34:55,880 --> 00:34:58,320 Speaker 1: to those of us that have spent the last fifteen 572 00:34:58,360 --> 00:35:02,360 Speaker 1: months of our lives developing these numbers that this was 573 00:35:02,440 --> 00:35:08,120 Speaker 1: indeed organized crime that was perpetrated on Americas. Oh. I 574 00:35:08,160 --> 00:35:09,960 Speaker 1: don't know what all that means, but that doesn't sound 575 00:35:10,040 --> 00:35:14,319 Speaker 1: good at all. Joining me now, spokesperson spokesperson for President Trump, 576 00:35:14,400 --> 00:35:18,880 Speaker 1: Liz Harrington. Okay, Liz unpacked this for me. Seven percent 577 00:35:19,120 --> 00:35:23,439 Speaker 1: were trafficked. What does that mean? Well, thanks for having me, Jesse. 578 00:35:23,640 --> 00:35:27,200 Speaker 1: This is really damning evidence from true the vote. They've 579 00:35:27,239 --> 00:35:31,360 Speaker 1: spent fifteen months, like Greg Kelly said, analyzing geo fencing 580 00:35:31,480 --> 00:35:35,040 Speaker 1: data from cell phones and around these drop boxes that 581 00:35:35,080 --> 00:35:39,040 Speaker 1: we know were funded by big tech billionaire Mark Zuckerberg 582 00:35:39,160 --> 00:35:41,600 Speaker 1: in all these swing states. And so what they did 583 00:35:41,719 --> 00:35:45,560 Speaker 1: was they set a period before the election, before early 584 00:35:45,640 --> 00:35:48,480 Speaker 1: voting began, so they would have a sample, so they 585 00:35:48,480 --> 00:35:51,480 Speaker 1: would know who lived in the area, who was regularly 586 00:35:51,600 --> 00:35:54,160 Speaker 1: going to these drop boxes by these drop boxes in 587 00:35:54,200 --> 00:35:57,480 Speaker 1: this area, so they wouldn't have any of the normal behavior. 588 00:35:57,719 --> 00:36:00,520 Speaker 1: And what they did was they sampled that again the 589 00:36:00,640 --> 00:36:04,600 Speaker 1: voting period. In every single swing state, they have trafficker 590 00:36:04,640 --> 00:36:08,279 Speaker 1: after trafficker video surveillance in many states. In Wisconsin, they 591 00:36:08,320 --> 00:36:10,200 Speaker 1: do not have the video surveillance because they should have 592 00:36:10,320 --> 00:36:13,279 Speaker 1: kept it but they deleted it. But they've they've used 593 00:36:13,280 --> 00:36:17,160 Speaker 1: that cell phone tracking data with the video surveillance to 594 00:36:17,400 --> 00:36:21,200 Speaker 1: see in all these swing states bought ballot harvesting going 595 00:36:21,239 --> 00:36:25,759 Speaker 1: from NGOs non governmental organizations that's usually a nonprofit, probably 596 00:36:25,800 --> 00:36:29,720 Speaker 1: a left wind one, going from there to dropboxes, again 597 00:36:29,880 --> 00:36:32,600 Speaker 1: and again and again. And why is this important? It 598 00:36:32,760 --> 00:36:36,799 Speaker 1: is illegal in all of these states to take someone 599 00:36:36,880 --> 00:36:39,239 Speaker 1: else's ballot to the polls. I mean, they're trying to 600 00:36:39,320 --> 00:36:42,200 Speaker 1: say that these are legitimate votes. No, they are not. 601 00:36:42,360 --> 00:36:44,880 Speaker 1: This is an illegal practice where you have, in the 602 00:36:44,920 --> 00:36:49,320 Speaker 1: case of Wisconsin, one hundred and thirty seven thousand ballots 603 00:36:49,400 --> 00:36:52,360 Speaker 1: that were trafficked this way, that were picked up in 604 00:36:52,440 --> 00:36:54,719 Speaker 1: a group and dropped off in the dead of the night. 605 00:36:54,840 --> 00:36:57,080 Speaker 1: And that's the other big thing here. If this was 606 00:36:57,160 --> 00:37:00,359 Speaker 1: normal behavior, why were all of these drops of thousands 607 00:37:00,400 --> 00:37:04,680 Speaker 1: and thousands of ballots happening between eight pm and five am? 608 00:37:04,719 --> 00:37:08,359 Speaker 1: We all know the answer. Picked up during the day, 609 00:37:08,719 --> 00:37:10,680 Speaker 1: dropped up at night. And now, Liz, you just said 610 00:37:10,680 --> 00:37:13,960 Speaker 1: one hundred and thirty seven thousand votes, could you refresh 611 00:37:14,080 --> 00:37:17,640 Speaker 1: my memory? I'm dumb. How many votes separated Joe Biden 612 00:37:17,680 --> 00:37:22,160 Speaker 1: from Donald Trump in Wisconsin twenty two thousand, and that's 613 00:37:22,200 --> 00:37:25,319 Speaker 1: amazing because we know this is illegal. We know you 614 00:37:25,360 --> 00:37:28,640 Speaker 1: cannot have ballot harvesting. That's exactly what was going on here. 615 00:37:28,680 --> 00:37:30,799 Speaker 1: That's exactly what was going on in Georgia as well. 616 00:37:30,840 --> 00:37:35,480 Speaker 1: They identified over two hundred ballot harvesters. They know many 617 00:37:35,840 --> 00:37:39,279 Speaker 1: in these instances who these people are. Many of them 618 00:37:39,360 --> 00:37:41,640 Speaker 1: don't even actually live in the state. And this is 619 00:37:41,640 --> 00:37:44,680 Speaker 1: a huge operation. And like Greg Kelly said in that clip, 620 00:37:45,040 --> 00:37:48,839 Speaker 1: this was organized state after state. Georgia, by the way, 621 00:37:48,920 --> 00:37:52,480 Speaker 1: was an election decided by less than twelve eleven thousand, 622 00:37:52,520 --> 00:37:55,319 Speaker 1: seven hundred and seventy nine. But state by state, when 623 00:37:55,320 --> 00:37:58,280 Speaker 1: true the vote has looked at this, they always get 624 00:37:58,480 --> 00:38:02,279 Speaker 1: seven percent. That is not a coincident. That's not an 625 00:38:02,320 --> 00:38:06,120 Speaker 1: accident because it's the same pattern, it's the same funding. 626 00:38:06,400 --> 00:38:09,920 Speaker 1: In many cases, it's probably the same left wing groups 627 00:38:09,920 --> 00:38:13,440 Speaker 1: that were organizing this to defraud the American people and 628 00:38:13,520 --> 00:38:16,760 Speaker 1: take away their choice in this election. This is so illegal. 629 00:38:16,920 --> 00:38:21,200 Speaker 1: We need a widespread investigation for really what is widespread fraud? 630 00:38:21,360 --> 00:38:24,319 Speaker 1: What the media said didn't exist. It's all right here 631 00:38:24,360 --> 00:38:28,520 Speaker 1: for everyone to see. Okay, let's just obviously assume that 632 00:38:28,600 --> 00:38:31,200 Speaker 1: Merrick Garland isn't going to dig into this. So what 633 00:38:31,280 --> 00:38:35,120 Speaker 1: are the individual states doing? Liz, We do have states 634 00:38:35,160 --> 00:38:39,000 Speaker 1: that are very very red. What are they doing? You know, 635 00:38:39,080 --> 00:38:42,680 Speaker 1: that's the key question. We have Republican legislatures that we 636 00:38:42,719 --> 00:38:47,600 Speaker 1: have Robin Voss, who's the speaker in Wisconsin. This information 637 00:38:47,680 --> 00:38:50,880 Speaker 1: came out in a hearing by representat Janelle Branchon, who's 638 00:38:50,920 --> 00:38:54,359 Speaker 1: really taken the lead and uncovering so much evidence. I mean, 639 00:38:54,400 --> 00:38:57,480 Speaker 1: this is just one example of fraud and illegality. We 640 00:38:57,760 --> 00:39:01,239 Speaker 1: of course know what happened in nursing homes where there 641 00:39:01,320 --> 00:39:05,120 Speaker 1: was elder abuse, stealing votes of the elderly. There's so 642 00:39:05,239 --> 00:39:08,200 Speaker 1: much there and definitely confined voters. There's so much evidence. 643 00:39:08,239 --> 00:39:12,200 Speaker 1: What Robin Boss needs to do is extend the state 644 00:39:12,280 --> 00:39:15,839 Speaker 1: legislature their past laws, could ban drop boxes and look 645 00:39:15,880 --> 00:39:19,440 Speaker 1: at decertifying this election. There's already a resolution there. This 646 00:39:19,520 --> 00:39:21,799 Speaker 1: needs to happen in state after state. We have Republican 647 00:39:21,880 --> 00:39:25,319 Speaker 1: led state legislatures that are not doing the job to 648 00:39:25,480 --> 00:39:28,160 Speaker 1: fix this. And what this is really about, it's not 649 00:39:28,200 --> 00:39:31,440 Speaker 1: just about finding out what happened in twenty twenty. It's 650 00:39:31,480 --> 00:39:34,759 Speaker 1: making sure it'll never happen again. And right now all 651 00:39:34,800 --> 00:39:37,880 Speaker 1: these states are still allowing drop boxes, and there's no 652 00:39:38,080 --> 00:39:42,040 Speaker 1: they're not doing anything that will prevent this fraud. That's 653 00:39:42,080 --> 00:39:43,640 Speaker 1: what we need to do. We need to go back 654 00:39:43,680 --> 00:39:48,160 Speaker 1: to same day voting, paper ballots. We need secure elections 655 00:39:48,280 --> 00:39:51,759 Speaker 1: voter ID. But really it's these state legislatures, many of 656 00:39:51,800 --> 00:39:56,120 Speaker 1: them are Republican led, that need to lead on this. Liz, 657 00:39:56,160 --> 00:39:57,960 Speaker 1: can you help me understand? I have a couple other 658 00:39:57,960 --> 00:39:59,120 Speaker 1: things I want to go over with you, but I 659 00:39:59,120 --> 00:40:01,120 Speaker 1: just I want you to pack this for me. Help 660 00:40:01,200 --> 00:40:05,160 Speaker 1: me understand why the Republican legislatures are not moving on this. 661 00:40:05,719 --> 00:40:08,719 Speaker 1: You said they're not doing anything. I don't understand. Why. 662 00:40:08,880 --> 00:40:10,960 Speaker 1: Help me understand why this seems like a no brainer. 663 00:40:11,000 --> 00:40:13,040 Speaker 1: Do they want Democrats to win all the future elections 664 00:40:13,840 --> 00:40:16,200 Speaker 1: and do they not see what's happening to our country, 665 00:40:16,200 --> 00:40:20,400 Speaker 1: how it's being systematically destroyed. I think, unfortunately, Jesse, what 666 00:40:20,440 --> 00:40:24,360 Speaker 1: we've seen since November twenty twenty is, in many cases, 667 00:40:24,400 --> 00:40:27,759 Speaker 1: this is the uniparty. There's no real difference between the 668 00:40:27,880 --> 00:40:30,279 Speaker 1: establishments on the left. And they're right. They all like 669 00:40:30,400 --> 00:40:33,840 Speaker 1: their jobs, they think they're very comfortable. They don't realize 670 00:40:33,920 --> 00:40:36,399 Speaker 1: that it's all going to come for them too. And 671 00:40:36,560 --> 00:40:39,719 Speaker 1: what is happening here with gas prices, inflation, they're talking 672 00:40:39,719 --> 00:40:43,239 Speaker 1: about food shortages. We have to stop what's happening to 673 00:40:43,280 --> 00:40:46,560 Speaker 1: our country, and it starts with election security. So they 674 00:40:46,640 --> 00:40:51,040 Speaker 1: better not think that their jobs secure either, Liz. President 675 00:40:51,080 --> 00:40:53,200 Speaker 1: Trump held a rally over the weekend. I'm sure you 676 00:40:53,320 --> 00:40:55,520 Speaker 1: washed it if not attended to the thing, but he 677 00:40:55,560 --> 00:40:58,160 Speaker 1: did address the indoctrination of children, and I loved what 678 00:40:58,200 --> 00:41:03,719 Speaker 1: I heard. American people will not sit idly by and 679 00:41:03,760 --> 00:41:09,680 Speaker 1: allow our children to be indoctrinated, segregated, and mutilated by 680 00:41:09,719 --> 00:41:15,719 Speaker 1: the lunatic cloud after the stays, Liz, I like that. 681 00:41:15,880 --> 00:41:18,680 Speaker 1: I like that this has become a rallying crime for 682 00:41:18,760 --> 00:41:21,200 Speaker 1: the Goop. I'm assuming this is something he's going to 683 00:41:21,239 --> 00:41:25,520 Speaker 1: stay on. Oh. Absolutely, It's such an important issue. I 684 00:41:25,560 --> 00:41:30,000 Speaker 1: think it's so disgusting and appalling, and people, parents in particular, 685 00:41:30,040 --> 00:41:32,760 Speaker 1: are appalled at what is going on in their schools 686 00:41:32,920 --> 00:41:35,200 Speaker 1: and when you can't even First of all, it shouldn't 687 00:41:35,200 --> 00:41:38,960 Speaker 1: even be necessary what Florida did banning the discussion of 688 00:41:39,080 --> 00:41:43,560 Speaker 1: sexual orientation for kindergarteners to third grade. Frankly, they should 689 00:41:43,560 --> 00:41:49,280 Speaker 1: have banned throughout all preschool, I mean up to twelfth grade. 690 00:41:49,280 --> 00:41:51,120 Speaker 1: I mean, it should be banned. Why are we talking 691 00:41:51,160 --> 00:41:55,480 Speaker 1: about this? What happened to math, reading, science, a grammar, 692 00:41:55,880 --> 00:41:59,080 Speaker 1: all of these things. They're not being taught, they're being indoctrinated. 693 00:41:59,160 --> 00:42:03,000 Speaker 1: It's sick at these people are out of control. And 694 00:42:03,120 --> 00:42:05,680 Speaker 1: President Trump is taking the lead on this issue. He's 695 00:42:05,760 --> 00:42:09,320 Speaker 1: going to call it out. This is disgusting and it's crazy, 696 00:42:09,440 --> 00:42:13,360 Speaker 1: and we're not going to stand for it. I finally 697 00:42:14,320 --> 00:42:17,280 Speaker 1: we all see that Joe Biden can't really talk. He's 698 00:42:17,320 --> 00:42:19,600 Speaker 1: not a fully functional adult. We know that that's not 699 00:42:19,680 --> 00:42:23,839 Speaker 1: news to anybody. Donald Trump, to whose credit, seems full 700 00:42:23,880 --> 00:42:27,520 Speaker 1: of energy and he's nailing it out there. But he's 701 00:42:27,520 --> 00:42:30,319 Speaker 1: not getting younger either. There are people who are worried 702 00:42:30,360 --> 00:42:32,600 Speaker 1: about his age. If he's going to run again, what 703 00:42:32,800 --> 00:42:36,279 Speaker 1: say you, Well, I can just tell you if he 704 00:42:36,360 --> 00:42:39,040 Speaker 1: does run, he certainly has the most energy of any 705 00:42:39,160 --> 00:42:42,160 Speaker 1: person I've ever worked for or met. Frankly, and if 706 00:42:42,160 --> 00:42:45,640 Speaker 1: you saw him in Michigan over the weekend. I was 707 00:42:45,640 --> 00:42:48,759 Speaker 1: supposed to do a TV interview afterwards, but it got 708 00:42:48,800 --> 00:42:51,640 Speaker 1: canceled because he was going too long. This speech was 709 00:42:52,400 --> 00:42:55,080 Speaker 1: over the time that they had allowed. Because he's on 710 00:42:55,200 --> 00:42:58,799 Speaker 1: fire for this country and everyone knows it. And this 711 00:42:58,840 --> 00:43:01,600 Speaker 1: guy doesn't barely sleep. He works so hard for the 712 00:43:01,600 --> 00:43:04,640 Speaker 1: American people. So if he does decide to run, I'm 713 00:43:04,680 --> 00:43:07,719 Speaker 1: certainly not worried about that in the least. Joe Biden, 714 00:43:07,840 --> 00:43:09,880 Speaker 1: on the other hand, he doesn't even know where he is. 715 00:43:09,960 --> 00:43:14,719 Speaker 1: It's it's such a discreet, that's quite literal. Liz Harry, 716 00:43:14,920 --> 00:43:20,480 Speaker 1: thank you so much, appreciation, Thanks Jesse. All Right, it's 717 00:43:20,520 --> 00:43:34,200 Speaker 1: time to lighten the mood. All right, it's time to 718 00:43:34,239 --> 00:43:36,120 Speaker 1: lighten the mood. That was a lot of show, right. 719 00:43:36,280 --> 00:43:39,680 Speaker 1: We got election fraud in there, the destruction being intentional, 720 00:43:39,719 --> 00:43:43,120 Speaker 1: there's all kinds of stuff. So let's just take back. Well, 721 00:43:43,560 --> 00:43:46,520 Speaker 1: sit back, We're not gonna take back anything. Let's sit back. 722 00:43:47,520 --> 00:43:53,160 Speaker 1: Let's sit back and just enjoy someone else's pain as me. 723 00:43:55,239 --> 00:44:13,120 Speaker 1: Are you okay? I got me only christ happy. That's terrible. 724 00:44:13,719 --> 00:44:16,399 Speaker 1: I can I can feel it for her. I've been there, lady. 725 00:44:17,520 --> 00:44:18,960 Speaker 1: All right, I'll suitable