1 00:00:03,640 --> 00:00:07,360 Speaker 1: I normally the show with normalis takes, but when the 2 00:00:07,400 --> 00:00:10,160 Speaker 1: news gets weird, I am Americas. 3 00:00:09,600 --> 00:00:12,440 Speaker 2: Am, and I'm Carol Marco, I'm Mary Catherine. 4 00:00:12,480 --> 00:00:15,280 Speaker 1: How's it going. It's going all right. We're still working 5 00:00:15,280 --> 00:00:17,079 Speaker 1: on potty training. But I saw that you had like 6 00:00:17,120 --> 00:00:18,560 Speaker 1: a rite of passage in your home. 7 00:00:18,840 --> 00:00:22,480 Speaker 2: Yes, yes, I have my very first child who is driving, 8 00:00:23,120 --> 00:00:29,840 Speaker 2: who terrifying. Also, it turns out I'm not a great 9 00:00:29,920 --> 00:00:32,680 Speaker 2: driving teacher. I was just like, all right, let's go 10 00:00:32,800 --> 00:00:37,280 Speaker 2: start driving, and she couldn't do that. So I handed 11 00:00:37,320 --> 00:00:39,559 Speaker 2: it over to my husband, who was like, what you 12 00:00:39,640 --> 00:00:41,400 Speaker 2: have to do is show her how to do it. 13 00:00:42,120 --> 00:00:45,480 Speaker 1: So it's a hard thing to teach. We are doing 14 00:00:45,479 --> 00:00:49,400 Speaker 1: it redneck style, where our kids started on little dirt 15 00:00:49,520 --> 00:00:52,839 Speaker 1: dirt bikes and little little power wheels, and so they 16 00:00:52,920 --> 00:00:54,960 Speaker 1: learned kind of the basics of how these things go, 17 00:00:55,040 --> 00:00:57,080 Speaker 1: and we keep stepping them up in size. 18 00:00:57,480 --> 00:01:00,760 Speaker 2: Right, Well, we meant to do it starting the Floridian 19 00:01:00,800 --> 00:01:03,560 Speaker 2: Way on a golf cart, but smart we didn't actually 20 00:01:03,560 --> 00:01:05,680 Speaker 2: pull the trigger on getting a golf cart yet. So 21 00:01:06,360 --> 00:01:08,680 Speaker 2: here we are. But yeah, fifteen years old, they get 22 00:01:08,680 --> 00:01:12,440 Speaker 2: their learners permit in Florida. It's younger than we did 23 00:01:12,440 --> 00:01:15,479 Speaker 2: it in New York and it's it's great. I mean, 24 00:01:15,520 --> 00:01:17,280 Speaker 2: it's great that she wants to do it, because there's 25 00:01:17,319 --> 00:01:21,120 Speaker 2: so many kids this age now who put it off indefinitely. 26 00:01:21,280 --> 00:01:23,360 Speaker 2: I don't know. I couldn't wait to drive when I 27 00:01:23,400 --> 00:01:24,080 Speaker 2: was a teenager. 28 00:01:24,200 --> 00:01:26,600 Speaker 1: I know, I love it that she's going out there 29 00:01:26,640 --> 00:01:29,120 Speaker 1: and she's very much like that. I was required to 30 00:01:29,200 --> 00:01:32,480 Speaker 1: learn stick, so like there was an even thoughts are 31 00:01:32,600 --> 00:01:36,160 Speaker 1: in our family. So man, I remember sitting on a 32 00:01:36,280 --> 00:01:39,040 Speaker 1: hill for the first time driving stick and just wondering 33 00:01:39,040 --> 00:01:41,360 Speaker 1: if I'm going to slide back into the bumper behind me. Oh, 34 00:01:41,400 --> 00:01:42,280 Speaker 1: it's a good time, yeap. 35 00:01:42,520 --> 00:01:45,080 Speaker 2: That was my husband. My husband in Italy when we 36 00:01:45,080 --> 00:01:47,760 Speaker 2: were dating, learned. I mean he said he knew how 37 00:01:47,800 --> 00:01:49,680 Speaker 2: to drive stick and that's why we rented a car 38 00:01:49,720 --> 00:01:52,760 Speaker 2: with stick shift. He learned how to drive in the 39 00:01:52,800 --> 00:01:55,440 Speaker 2: parking garage of the airport in Rome. And let me 40 00:01:55,480 --> 00:01:57,520 Speaker 2: tell you, the Italians did not enjoy that. 41 00:01:57,800 --> 00:02:01,200 Speaker 1: No. I bet I drove a sixty eight Volkswagen Bug. 42 00:02:01,560 --> 00:02:06,120 Speaker 1: So once you start with that level of cantankerous, yeah, manual, 43 00:02:06,240 --> 00:02:08,200 Speaker 1: you could do any transmission. You can really do anything. 44 00:02:08,240 --> 00:02:11,080 Speaker 2: It really does. The origin story here makes a lot 45 00:02:11,120 --> 00:02:11,440 Speaker 2: of sense. 46 00:02:12,440 --> 00:02:15,520 Speaker 1: That's alrighty, shall we get to the news. 47 00:02:16,160 --> 00:02:20,120 Speaker 2: Let's do it. So, you know, we haven't really talked 48 00:02:20,120 --> 00:02:23,320 Speaker 2: about the economy on here, and we really specifically haven't 49 00:02:23,320 --> 00:02:26,880 Speaker 2: talked talked about tariffs. And part of why we haven't 50 00:02:26,919 --> 00:02:29,920 Speaker 2: discussed the tariffs is that things remain very in flux. 51 00:02:30,200 --> 00:02:33,200 Speaker 2: And the first time that you and I were like, 52 00:02:33,320 --> 00:02:35,760 Speaker 2: let's talk tariffs today, we actually decided to wait and 53 00:02:35,760 --> 00:02:38,440 Speaker 2: see what happened, and then the next day the tariffs 54 00:02:38,440 --> 00:02:41,880 Speaker 2: with Canada and Mexico were postponed. So every time we 55 00:02:41,960 --> 00:02:43,959 Speaker 2: kind of think like, Okay, should we do tariffs today, 56 00:02:44,720 --> 00:02:47,440 Speaker 2: we end up not doing it because things are changing 57 00:02:47,480 --> 00:02:49,760 Speaker 2: all the time. And in the financial world they call 58 00:02:49,840 --> 00:02:53,519 Speaker 2: this kind of thing uncertainty, and they don't like it. 59 00:02:53,960 --> 00:02:57,600 Speaker 1: They don't the market says no, thank you, yes to that, thanks, 60 00:02:57,600 --> 00:03:01,160 Speaker 1: but no thanks on the uncertainty. Yes, I do think 61 00:03:01,200 --> 00:03:03,960 Speaker 1: we're getting to a point where Trump could be in 62 00:03:04,040 --> 00:03:09,120 Speaker 1: some real danger of just burning through political capital because 63 00:03:09,120 --> 00:03:11,160 Speaker 1: he has a lot, he has a lot of leeway 64 00:03:11,240 --> 00:03:16,560 Speaker 1: here inherited a soft economy at best from Biden. Like 65 00:03:16,600 --> 00:03:20,400 Speaker 1: people were not feeling good, right, I think, unleashing energy 66 00:03:20,720 --> 00:03:25,680 Speaker 1: and working on some deregulation can have tremendous effects, it'll 67 00:03:25,680 --> 00:03:29,079 Speaker 1: take a little while. But the tariff's pitch is trickier 68 00:03:29,120 --> 00:03:31,639 Speaker 1: because he says this is short term gain or short 69 00:03:31,720 --> 00:03:34,720 Speaker 1: term pain for long term gain. Right, voters don't like 70 00:03:34,760 --> 00:03:35,840 Speaker 1: short term pain. 71 00:03:36,120 --> 00:03:39,200 Speaker 2: No, they don't, they don't. But you know, you bring 72 00:03:39,280 --> 00:03:41,720 Speaker 2: up a good point, which is Trump has only been 73 00:03:41,760 --> 00:03:44,560 Speaker 2: president for two months, so you can blame him for 74 00:03:44,720 --> 00:03:49,000 Speaker 2: like the stock market dipping because investors are concerned about tariffs. 75 00:03:49,240 --> 00:03:51,280 Speaker 2: But you can't like lay the price of eggs at 76 00:03:51,280 --> 00:03:54,440 Speaker 2: his feet quite yet. You know, although Barack Obama basically 77 00:03:54,480 --> 00:03:57,840 Speaker 2: blamed George W. Bush for like eight years of economy, 78 00:03:58,160 --> 00:04:01,160 Speaker 2: he kept saying, this is the economy I inherit, or like, dude, 79 00:04:01,160 --> 00:04:03,880 Speaker 2: you've been president for six years at this point, so 80 00:04:04,360 --> 00:04:07,080 Speaker 2: you know, maybe Trump can do similar, although I you know, 81 00:04:07,200 --> 00:04:10,400 Speaker 2: from what I've seen, he hasn't necessarily done similar. He 82 00:04:10,440 --> 00:04:13,840 Speaker 2: hasn't said, well, this is you know, what I inherited. 83 00:04:14,200 --> 00:04:19,280 Speaker 2: But he had an interview with Maria or Taroma, her 84 00:04:19,400 --> 00:04:23,120 Speaker 2: name is always a toughie for me, and she asked 85 00:04:23,200 --> 00:04:26,560 Speaker 2: him do you expect a recession? And he said it's possible. 86 00:04:27,160 --> 00:04:28,880 Speaker 2: That kind of thing is unheard of. By the way, 87 00:04:28,920 --> 00:04:32,160 Speaker 2: you never hear a politician bluntly say something like that. 88 00:04:32,480 --> 00:04:35,599 Speaker 2: But that's the long term, you know, gain for the 89 00:04:35,640 --> 00:04:39,400 Speaker 2: short term pain that you're talking about here. And you're right. 90 00:04:39,640 --> 00:04:42,400 Speaker 2: I don't know that Americans are going to be okay 91 00:04:42,440 --> 00:04:44,120 Speaker 2: with this. I don't think that they're going to say, oh, 92 00:04:44,160 --> 00:04:46,400 Speaker 2: well things are more expensive, or I got laid off 93 00:04:46,480 --> 00:04:48,640 Speaker 2: or any of that. But it's good for the country 94 00:04:48,640 --> 00:04:53,200 Speaker 2: long term. That's It's a tough, tough little nut to 95 00:04:53,279 --> 00:04:53,800 Speaker 2: crack there. 96 00:04:54,160 --> 00:04:56,920 Speaker 1: Yeah, that's a very big ask. I think. Also, Canada 97 00:04:57,040 --> 00:04:59,880 Speaker 1: kind of came to play. I don't know. I didn't expect. 98 00:05:00,200 --> 00:05:03,599 Speaker 1: I didn't expect the Ontario premiere to go quite so hard. 99 00:05:03,920 --> 00:05:06,360 Speaker 1: He was like, he was like, okay, so we give 100 00:05:06,400 --> 00:05:10,080 Speaker 1: you electricity in New York, Michigan, and Minnesota, I believe 101 00:05:10,080 --> 00:05:13,040 Speaker 1: are the three states. So we're just like going to 102 00:05:13,120 --> 00:05:16,240 Speaker 1: slap twenty five percent on that, which will cost consumers 103 00:05:16,279 --> 00:05:20,440 Speaker 1: potentially one hundred dollars a month on their power bill. 104 00:05:20,880 --> 00:05:23,279 Speaker 1: And I guarantee you people will notice that. Now. He 105 00:05:23,320 --> 00:05:26,200 Speaker 1: backed off of that as soon as Trump had some 106 00:05:26,320 --> 00:05:29,200 Speaker 1: engagement with him, right, But there is cost to the 107 00:05:29,320 --> 00:05:32,520 Speaker 1: uncertainty itself. Right, So if you're going to have the 108 00:05:32,560 --> 00:05:36,840 Speaker 1: fight again, I think a medium tolerant of tariffs as 109 00:05:36,880 --> 00:05:41,560 Speaker 1: a negotiating tactic if it's quick and efficient. But this 110 00:05:42,000 --> 00:05:45,920 Speaker 1: exchange is looking rockier for people, so I think it 111 00:05:45,960 --> 00:05:49,400 Speaker 1: does have potential to harm his political prospects. 112 00:05:49,720 --> 00:05:53,120 Speaker 2: Earlier today, AP reported that Canada will announce more than 113 00:05:53,160 --> 00:05:58,279 Speaker 2: twenty billion in retaliatory tariffs in response to Trump's metal tariffs. 114 00:05:58,560 --> 00:06:04,560 Speaker 2: So yeah, Canada is I mean leaning into their nationalism 115 00:06:04,839 --> 00:06:07,040 Speaker 2: and saying we don't like this, we don't like you, 116 00:06:07,120 --> 00:06:12,080 Speaker 2: We've never liked you, haha, And they're really fighting back. 117 00:06:12,279 --> 00:06:15,520 Speaker 1: But you know, he gets leeway, and. 118 00:06:15,560 --> 00:06:18,440 Speaker 2: He gets leeway from me. I was on your bestie 119 00:06:18,680 --> 00:06:21,159 Speaker 2: Guy Benson's radio show yesterday and I said, you know, 120 00:06:21,200 --> 00:06:23,760 Speaker 2: I've had this long road with Trump. I know you've 121 00:06:23,800 --> 00:06:28,200 Speaker 2: had sort of a similar one where I was adamantly 122 00:06:28,200 --> 00:06:31,520 Speaker 2: against tariffs in his first term, but I saw that 123 00:06:31,600 --> 00:06:34,960 Speaker 2: he used it as a pressure tactic and not necessarily 124 00:06:35,000 --> 00:06:37,279 Speaker 2: as an economic one. So I am giving him the 125 00:06:37,279 --> 00:06:39,800 Speaker 2: benefit of the doubt. And I'm very much in weight 126 00:06:39,839 --> 00:06:45,680 Speaker 2: and see mode, not making any strong judgments yet. But again, 127 00:06:46,680 --> 00:06:49,160 Speaker 2: if Americans do end up feeling it in the next 128 00:06:49,240 --> 00:06:52,080 Speaker 2: few months. I don't think that's saying, oh, but we're 129 00:06:52,080 --> 00:06:54,719 Speaker 2: bringing back all these businesses to America. Just wait, twenty 130 00:06:54,800 --> 00:06:55,840 Speaker 2: years is going to work? 131 00:06:56,160 --> 00:06:59,120 Speaker 1: Yeah, because that horizon is long. Even though there are 132 00:06:59,160 --> 00:07:02,040 Speaker 1: some shifts you know, that will that will happen quickly, 133 00:07:02,080 --> 00:07:05,800 Speaker 1: they are not like big change the economy shifts, all right, 134 00:07:06,400 --> 00:07:09,560 Speaker 1: you know. But to your point, Carol, how, I cannot 135 00:07:09,680 --> 00:07:15,240 Speaker 1: count the times that Trump's political calculations have been wildly 136 00:07:15,360 --> 00:07:19,480 Speaker 1: different and better than mine. Right, Okay, I'm in the 137 00:07:19,520 --> 00:07:22,600 Speaker 1: same place. Yes, so I'm there. We are open to that. 138 00:07:22,640 --> 00:07:27,200 Speaker 1: But I think on the politics of the economy, it's 139 00:07:27,480 --> 00:07:30,360 Speaker 1: very risky ground, and it's very risky ground to be 140 00:07:30,440 --> 00:07:33,920 Speaker 1: fighting based on being I think mostly just annoyed with 141 00:07:34,080 --> 00:07:36,960 Speaker 1: Justin Trudeau by the way, you're putting wind beneath his 142 00:07:37,040 --> 00:07:41,360 Speaker 1: wings with the let's not so yeah, I think he 143 00:07:41,680 --> 00:07:43,800 Speaker 1: stands to do himself some damage. Although you had a 144 00:07:43,800 --> 00:07:46,960 Speaker 1: good an interesting data point on cost of living. 145 00:07:47,080 --> 00:07:48,960 Speaker 2: Yeah, let's roll that clip from CNN. 146 00:07:49,040 --> 00:07:51,200 Speaker 3: Finally we have some good news on the economy and 147 00:07:51,240 --> 00:07:53,800 Speaker 3: really the number one issue for many Americans the cost 148 00:07:53,840 --> 00:07:56,640 Speaker 3: of living. So we just learned that consumer prices in 149 00:07:56,680 --> 00:08:00,760 Speaker 3: February increase by two point eight percent year, zero point 150 00:08:00,840 --> 00:08:02,239 Speaker 3: two percent month of a month. 151 00:08:02,520 --> 00:08:04,840 Speaker 4: Both of these figures were a step. 152 00:08:04,560 --> 00:08:08,440 Speaker 3: In the right direction, and both were better than expected. 153 00:08:08,560 --> 00:08:12,680 Speaker 3: So this is definitely very encouraging to see because it's 154 00:08:12,720 --> 00:08:15,960 Speaker 3: going to, I think, relieve some fears. 155 00:08:15,720 --> 00:08:19,520 Speaker 4: That inflation was perhaps reaccelerating, because this actually breaks a 156 00:08:19,560 --> 00:08:22,000 Speaker 4: streak of four straight months where I think you could 157 00:08:22,000 --> 00:08:23,280 Speaker 4: see it on the chart all the way to the 158 00:08:23,360 --> 00:08:26,400 Speaker 4: right where the inflation rate was going in the wrong direction. 159 00:08:26,480 --> 00:08:29,440 Speaker 3: Right, it was going higher and higher. Finally we're seeing 160 00:08:29,440 --> 00:08:29,840 Speaker 3: it dip. 161 00:08:30,040 --> 00:08:30,320 Speaker 1: Yeah. 162 00:08:30,320 --> 00:08:33,840 Speaker 2: So the Trump Rapid Response team shared that on x 163 00:08:33,920 --> 00:08:37,520 Speaker 2: Obviously they are proud that CNN is saying it, which 164 00:08:37,559 --> 00:08:42,719 Speaker 2: is unusual for CNN. Cost of living obviously going down 165 00:08:42,880 --> 00:08:45,679 Speaker 2: is going to be a data point, they stress. They 166 00:08:45,760 --> 00:08:50,440 Speaker 2: also had Goldman Sachs CEO David Solomon was on again 167 00:08:50,559 --> 00:08:54,960 Speaker 2: Mornings of Maria kind of being more optimistic on what's 168 00:08:54,960 --> 00:08:57,480 Speaker 2: going on in the economy and with the Trump administration. 169 00:08:57,600 --> 00:09:01,280 Speaker 2: He said that the business community quote understands Trump's intentions 170 00:09:01,320 --> 00:09:02,160 Speaker 2: with tariffs. 171 00:09:02,840 --> 00:09:04,800 Speaker 1: Well, and that's one of the things I think. Josh 172 00:09:04,840 --> 00:09:06,679 Speaker 1: Holmes said, I was on Special Report last night and 173 00:09:06,679 --> 00:09:09,760 Speaker 1: he said, the man is engaged in negotiation. The man 174 00:09:09,880 --> 00:09:16,840 Speaker 1: is always engaged in negotiation. Many many business leaders understand this, 175 00:09:17,280 --> 00:09:20,000 Speaker 1: but like I always go to go back to there 176 00:09:20,120 --> 00:09:23,640 Speaker 1: is a cost from uncertainty because businesses want to plan 177 00:09:24,280 --> 00:09:26,840 Speaker 1: and they want to know what is in front of them. Also, 178 00:09:26,880 --> 00:09:28,560 Speaker 1: I don't like the part of tariffs where it's like 179 00:09:28,800 --> 00:09:32,680 Speaker 1: it becomes political gamesmanship and very swampy to be like, 180 00:09:32,960 --> 00:09:35,360 Speaker 1: but I need an exception to the tariff, and this 181 00:09:35,480 --> 00:09:37,440 Speaker 1: is how I'm going to get it right. I don't 182 00:09:37,600 --> 00:09:38,240 Speaker 1: like that at all. 183 00:09:39,400 --> 00:09:42,560 Speaker 2: Yeah, it's going to have to be everybody or nobody. 184 00:09:42,920 --> 00:09:47,000 Speaker 2: I think the exceptions are the swampiest part of DC 185 00:09:47,200 --> 00:09:48,920 Speaker 2: and we can't allow that to go on. 186 00:09:49,480 --> 00:09:54,040 Speaker 1: That's that part worries me. Yeah, alrighty up. Next, we 187 00:09:54,160 --> 00:09:57,440 Speaker 1: have mostly peaceful protests, mostly. 188 00:09:57,240 --> 00:10:00,560 Speaker 2: Peaceful, just some vandalism, some Tesla set up on fire, 189 00:10:01,320 --> 00:10:07,720 Speaker 2: will be right back on. Normally, these protests are going 190 00:10:07,760 --> 00:10:10,920 Speaker 2: on around the country. A really really sad one happened 191 00:10:10,920 --> 00:10:13,319 Speaker 2: in South Florida. I saw video of it the other day. 192 00:10:13,360 --> 00:10:15,880 Speaker 2: They manage like twelve people at the Tesla plant in 193 00:10:15,920 --> 00:10:21,120 Speaker 2: Delray Beach. It's really I think unsettling because look, I 194 00:10:21,160 --> 00:10:24,160 Speaker 2: get that these people are really mad at Elon Musk. 195 00:10:24,200 --> 00:10:27,440 Speaker 2: But Elon Musk only owns only has twelve point eight 196 00:10:27,520 --> 00:10:31,360 Speaker 2: percent of Tesla equity, so they're really just harming people 197 00:10:31,400 --> 00:10:35,040 Speaker 2: who have nothing to do with anything. And it's interesting, 198 00:10:35,080 --> 00:10:38,920 Speaker 2: of course the additional angle that Tesla is an electric car. 199 00:10:39,960 --> 00:10:42,560 Speaker 2: The people posing Elon are largely on the left. They 200 00:10:42,559 --> 00:10:45,840 Speaker 2: should be loving their electric car in California. You know, 201 00:10:45,920 --> 00:10:48,320 Speaker 2: I saw a bumper sticker that said something like I 202 00:10:48,360 --> 00:10:52,080 Speaker 2: bought this before Elon went crazy on a Tesla, which 203 00:10:52,120 --> 00:10:55,360 Speaker 2: is like, okay, like, I don't even do we know 204 00:10:55,440 --> 00:11:01,880 Speaker 2: what the other car manufacturers, top equity owner now leaves. 205 00:11:01,880 --> 00:11:06,400 Speaker 2: We don't right, for better or worse, Elon is out there, 206 00:11:06,600 --> 00:11:10,760 Speaker 2: and uh I you know, I find it difficult to 207 00:11:10,920 --> 00:11:13,440 Speaker 2: wrap my mind around that people are blaming him for 208 00:11:13,480 --> 00:11:19,040 Speaker 2: this because it's it's clearly unbalanced people who are causing 209 00:11:19,160 --> 00:11:23,559 Speaker 2: vandalism and oh yeah, you know, doing really crazy stuff. 210 00:11:23,679 --> 00:11:28,079 Speaker 2: So yeah, I'm obviously not a fan, but I also 211 00:11:28,120 --> 00:11:30,800 Speaker 2: think that the people doing it should be harshly punished. 212 00:11:31,080 --> 00:11:32,800 Speaker 1: Yeah, I mean, remind me of the good guys, the 213 00:11:32,800 --> 00:11:36,600 Speaker 1: ones burning the electric cars. So the guy who made 214 00:11:36,600 --> 00:11:39,560 Speaker 1: the electric cars. Yeah, that's the thing that's astounding to me, 215 00:11:39,640 --> 00:11:42,800 Speaker 1: I've always found Tesla's to be interesting, in the company 216 00:11:42,840 --> 00:11:45,640 Speaker 1: to be interesting. The only problem I had with it 217 00:11:45,720 --> 00:11:50,120 Speaker 1: was any government subsidies it got because I'm boringly consistent 218 00:11:50,200 --> 00:11:50,560 Speaker 1: that way. 219 00:11:50,679 --> 00:11:53,240 Speaker 2: Yes, Dary, but he did. 220 00:11:53,080 --> 00:11:57,480 Speaker 1: The thing where he made electric car cars high performing 221 00:11:57,520 --> 00:12:00,600 Speaker 1: and cool. I have he he did the thing you 222 00:12:00,640 --> 00:12:04,720 Speaker 1: guys wanted. Lefties and now eco warriors are like, let's 223 00:12:04,720 --> 00:12:08,560 Speaker 1: set fire to a whole lot of Tesla's. And they've 224 00:12:08,559 --> 00:12:11,440 Speaker 1: done this, by the way, in several places. There's headlines 225 00:12:11,480 --> 00:12:18,400 Speaker 1: from Seattle, I think in California. This is this is 226 00:12:18,440 --> 00:12:20,440 Speaker 1: the kind of thing that if it was the left 227 00:12:21,120 --> 00:12:25,880 Speaker 1: throwing molotov cocktails at a North Charleston Tesla charging station, right, 228 00:12:27,240 --> 00:12:29,040 Speaker 1: if it wasn't the left and it was the right 229 00:12:29,120 --> 00:12:31,880 Speaker 1: doing this because they didn't like whoever owned a company, 230 00:12:32,880 --> 00:12:36,160 Speaker 1: you'd get a lot more national coverage of this horrific 231 00:12:36,280 --> 00:12:40,360 Speaker 1: threat to democracy. But political violence on the left is 232 00:12:40,400 --> 00:12:44,199 Speaker 1: not treated the same in the media. And Frank Luigi 233 00:12:44,280 --> 00:12:48,280 Speaker 1: Mangioni sets such a low low in the in hell 234 00:12:48,440 --> 00:12:50,920 Speaker 1: bar that now the lefties are like, I mean, we 235 00:12:50,960 --> 00:12:51,840 Speaker 1: didn't murder. 236 00:12:51,679 --> 00:12:54,439 Speaker 2: Him, right, we could do whatever we want. It's just property. 237 00:12:54,800 --> 00:12:59,240 Speaker 1: Yeah, scary prospect, but that is what they think. They 238 00:12:59,240 --> 00:13:01,760 Speaker 1: think the murder of the CEO of United Healthcare was 239 00:13:01,800 --> 00:13:06,920 Speaker 1: sort of kind of like a deserved unacceptable maybe even 240 00:13:07,000 --> 00:13:09,720 Speaker 1: laudatory and uh and now they're like, well, we've really 241 00:13:09,720 --> 00:13:11,360 Speaker 1: done you guys a favor by stepping it down and 242 00:13:11,400 --> 00:13:13,160 Speaker 1: just burning a few cyber trucks, right. 243 00:13:14,240 --> 00:13:17,400 Speaker 2: Uh. You know, I think that if the right were 244 00:13:17,440 --> 00:13:22,280 Speaker 2: to respond even similarly, we'd see, you know, mass unrest. 245 00:13:22,440 --> 00:13:25,520 Speaker 2: Let's just say it wouldn't it wouldn't go quite so swimmingly. 246 00:13:26,880 --> 00:13:27,000 Speaker 3: So. 247 00:13:27,040 --> 00:13:30,480 Speaker 2: But Donald Trump had a tesla at the White House 248 00:13:30,840 --> 00:13:38,200 Speaker 2: and he said, oh, everything's computer. And let me tell you, 249 00:13:38,440 --> 00:13:39,560 Speaker 2: everything is computer. 250 00:13:40,240 --> 00:13:46,760 Speaker 1: Everything's computer. There was a guy who tweeted, I'll leave 251 00:13:46,800 --> 00:13:50,160 Speaker 1: the cursords out of it because that was my Linton sacrifice. 252 00:13:50,800 --> 00:13:55,600 Speaker 1: But he says this guy. Yeah, I hate this man. 253 00:13:55,960 --> 00:13:58,480 Speaker 1: I hate how funny he is. Yes, I hate how 254 00:13:58,480 --> 00:14:01,480 Speaker 1: he puts things in my lexicon and without my consent, 255 00:14:01,880 --> 00:14:06,560 Speaker 1: like everything's electric, everything's computer. Things beautiful. 256 00:14:07,920 --> 00:14:10,800 Speaker 2: Because it really fits. Again, I have a tesla. I 257 00:14:10,840 --> 00:14:14,079 Speaker 2: love my tesla. I love the self drive more than anything. 258 00:14:15,000 --> 00:14:16,920 Speaker 2: Even though I still, you know, I still hold on 259 00:14:16,960 --> 00:14:19,920 Speaker 2: and I still watch the road. I know people I 260 00:14:19,920 --> 00:14:23,200 Speaker 2: won't name any names who completely, you know, let the 261 00:14:23,240 --> 00:14:26,000 Speaker 2: tesla take over. I'm not quite there yet, but it's 262 00:14:26,040 --> 00:14:30,960 Speaker 2: the future. Everything's computer and it's amazing. I really do 263 00:14:31,040 --> 00:14:31,360 Speaker 2: love it. 264 00:14:31,720 --> 00:14:33,400 Speaker 1: The first time I ever wrote in a tesla, by 265 00:14:33,440 --> 00:14:35,720 Speaker 1: the way, was with Vincent Gallo in La. 266 00:14:36,480 --> 00:14:40,520 Speaker 2: You know, I love him. He was like an early 267 00:14:40,600 --> 00:14:43,320 Speaker 2: early crush for me. And then I found out he 268 00:14:43,360 --> 00:14:46,560 Speaker 2: was conservative much later and I was like, wow, I 269 00:14:46,640 --> 00:14:47,760 Speaker 2: really know how to pick him. 270 00:14:47,760 --> 00:14:50,720 Speaker 1: We did one of those secret conservative meetups in La 271 00:14:50,800 --> 00:14:53,720 Speaker 1: and I wrote in a tesla in the early early days, 272 00:14:53,760 --> 00:14:56,840 Speaker 1: before anybody had one in it it was everything was computer. 273 00:14:56,960 --> 00:14:59,600 Speaker 2: Then I'm gonna have to look up what Vincent gallows 274 00:14:59,640 --> 00:15:01,720 Speaker 2: up to. Haven't heard from him in a while. Please 275 00:15:01,760 --> 00:15:03,720 Speaker 2: don't let him be a Nazi, like just you know, 276 00:15:03,720 --> 00:15:04,720 Speaker 2: it's one of those. 277 00:15:04,520 --> 00:15:07,640 Speaker 1: Like Google carefully. Yeah, I don't know. 278 00:15:09,000 --> 00:15:11,640 Speaker 2: Yeah, I deserve whatever I get here. We're going to 279 00:15:11,680 --> 00:15:14,120 Speaker 2: take a short break and come right back with normally. 280 00:15:17,600 --> 00:15:22,240 Speaker 2: It is five years since the COVID lockdowns began. We 281 00:15:22,280 --> 00:15:26,480 Speaker 2: are around the five year mark, and it is something 282 00:15:26,680 --> 00:15:29,280 Speaker 2: I'm still mad about. Bro and I know that we 283 00:15:29,320 --> 00:15:31,200 Speaker 2: talk about it on the show a lot, probably more 284 00:15:31,240 --> 00:15:34,240 Speaker 2: than other shows do because we are still mad and 285 00:15:35,560 --> 00:15:38,160 Speaker 2: just you know the importance of looking back right now. 286 00:15:38,280 --> 00:15:41,040 Speaker 2: I think so many times we hear about new viruses 287 00:15:41,160 --> 00:15:43,400 Speaker 2: or new things coming up, and you're like, but now 288 00:15:43,400 --> 00:15:45,160 Speaker 2: I know what to do. Now, I won't believe anything 289 00:15:45,160 --> 00:15:47,880 Speaker 2: you people are saying. It's a dangerous place to be. 290 00:15:49,440 --> 00:15:52,920 Speaker 2: I don't trust our health officials at all. I'm glad 291 00:15:52,920 --> 00:15:56,280 Speaker 2: that Jaboticharia is at NIH. That makes it far more 292 00:15:56,360 --> 00:15:57,280 Speaker 2: trustworthy for me. 293 00:15:57,520 --> 00:15:59,680 Speaker 1: It is a nice bow on the five years. It is. 294 00:16:00,160 --> 00:16:03,960 Speaker 2: It absolutely is. He was, of course, somebody who opposed 295 00:16:03,960 --> 00:16:08,760 Speaker 2: the lockdowns and did it at tremendous personal costs. He 296 00:16:08,960 --> 00:16:12,680 Speaker 2: was really shunned by his peers. He was treated like 297 00:16:12,920 --> 00:16:16,320 Speaker 2: a lunatic, when of course he was right about all of. 298 00:16:16,320 --> 00:16:20,840 Speaker 1: It, labeled a fringe epidemiologists who works at Stanford, like 299 00:16:20,880 --> 00:16:22,480 Speaker 1: all the fringe epidemiologists. 300 00:16:22,640 --> 00:16:25,120 Speaker 2: Yeah, yeah, yeah, and you and I listen, you and 301 00:16:25,120 --> 00:16:27,760 Speaker 2: I were right about quite a lot. Also. I do 302 00:16:27,880 --> 00:16:30,640 Speaker 2: like to pat us on the back because a lot 303 00:16:30,680 --> 00:16:32,720 Speaker 2: of things that people say, oh, how could we have known, 304 00:16:32,840 --> 00:16:35,160 Speaker 2: or we didn't know, we like to say, oh, we knew, 305 00:16:35,480 --> 00:16:37,440 Speaker 2: we knew, we knew the whole time. We knew that 306 00:16:37,520 --> 00:16:39,920 Speaker 2: this was going to be bad for kids. We had 307 00:16:39,960 --> 00:16:44,160 Speaker 2: no illusions that taking away school from only public school 308 00:16:44,200 --> 00:16:47,200 Speaker 2: kids was was going to be a problem for the 309 00:16:47,240 --> 00:16:49,640 Speaker 2: poorest kids in the country. And that's exactly where we 310 00:16:49,640 --> 00:16:50,040 Speaker 2: are now. 311 00:16:50,560 --> 00:16:53,600 Speaker 1: Yeah, it was obviously the things that people say, we 312 00:16:53,680 --> 00:16:57,640 Speaker 1: didn't know. And that's the line that my counterpart used 313 00:16:57,680 --> 00:17:01,080 Speaker 1: on me on on Fox News Sunday. It's like, oh, 314 00:17:01,120 --> 00:17:03,120 Speaker 1: people just learned as they went. It's like, okay, but 315 00:17:03,200 --> 00:17:08,679 Speaker 1: at the beginning, we knew outside safer than inside, old 316 00:17:08,880 --> 00:17:13,240 Speaker 1: in more danger than young. Those were just facts known 317 00:17:13,720 --> 00:17:17,080 Speaker 1: from the beginning that should have protected both school children 318 00:17:17,119 --> 00:17:19,960 Speaker 1: being shut out of school and old people being thrown 319 00:17:19,960 --> 00:17:24,960 Speaker 1: into nursing homes and hospitals together with in New York. 320 00:17:25,200 --> 00:17:29,920 Speaker 1: So those two things, or like you know, opening parks outside. 321 00:17:30,400 --> 00:17:33,160 Speaker 1: I remember I went out to Colorado early in the pandemic, 322 00:17:34,440 --> 00:17:37,679 Speaker 1: I confess, and I went to Colorado and we couldn't 323 00:17:37,720 --> 00:17:40,560 Speaker 1: go up the Manitou Incline, which is a famous hike, 324 00:17:41,000 --> 00:17:44,480 Speaker 1: because it was closed and they would they said they 325 00:17:44,520 --> 00:17:48,199 Speaker 1: would find you thousands of dollars if you attempted to 326 00:17:48,320 --> 00:17:52,320 Speaker 1: walk up an outdoor staircase in the Colorado Mountains. 327 00:17:52,600 --> 00:17:55,840 Speaker 2: Yep, it made no sense, and we knew it even 328 00:17:55,880 --> 00:17:58,040 Speaker 2: at the time. It's also hard to go back. And 329 00:17:58,080 --> 00:18:00,520 Speaker 2: I think that that's a lesson that I hope people 330 00:18:00,600 --> 00:18:04,160 Speaker 2: learn going forward, is that once you do stupid things, 331 00:18:04,240 --> 00:18:08,000 Speaker 2: it gets very, very hard to stop doing them. For example, 332 00:18:08,160 --> 00:18:12,159 Speaker 2: New York keeps setting records for children not going to school. 333 00:18:12,200 --> 00:18:15,240 Speaker 2: In twenty twenty five, they continue to have absences at 334 00:18:15,280 --> 00:18:19,280 Speaker 2: astronomical numbers because when parents were told the school was 335 00:18:19,320 --> 00:18:23,680 Speaker 2: not that important, it penetrated. People believe them, and now 336 00:18:23,760 --> 00:18:26,000 Speaker 2: kids go to school kind of whenever they feel like it. 337 00:18:26,320 --> 00:18:30,439 Speaker 2: Another thing, Liz Wolf, who writes for Reasons She's Fantastic, 338 00:18:31,040 --> 00:18:35,359 Speaker 2: keeps pointing out that they keep closing down playgrounds now. 339 00:18:35,560 --> 00:18:39,639 Speaker 2: In my childhood in Brooklyn, playgrounds were open in you know, 340 00:18:39,720 --> 00:18:42,480 Speaker 2: six feet of snow. It didn't matter. Everything was open 341 00:18:42,560 --> 00:18:45,320 Speaker 2: all the time. Now it's like, ooh, the weather's a 342 00:18:45,359 --> 00:18:47,879 Speaker 2: little iffy, you're going to close the playground just in case. 343 00:18:48,280 --> 00:18:51,440 Speaker 2: And she basically, you know, climbs over the fence with 344 00:18:51,080 --> 00:18:53,680 Speaker 2: her with her son and they play on the toy 345 00:18:53,840 --> 00:18:57,280 Speaker 2: you know, on all the structures. So it gets harder 346 00:18:57,320 --> 00:18:59,880 Speaker 2: to stop doing dumb things once you start doing them. 347 00:19:00,119 --> 00:19:01,920 Speaker 2: Always best to not do them in the first place. 348 00:19:01,960 --> 00:19:05,159 Speaker 1: Well, and I think humans are not particularly great at 349 00:19:05,240 --> 00:19:09,399 Speaker 1: rational risk analysis to begin with. And then what we 350 00:19:09,480 --> 00:19:15,040 Speaker 1: did during the pandemic is that we demonized rational risk analysis. 351 00:19:15,480 --> 00:19:18,320 Speaker 1: And that's why Jay Boditaria got in trouble. That's why 352 00:19:18,320 --> 00:19:22,080 Speaker 1: people like you and I were shamed, because we were like, well, 353 00:19:22,560 --> 00:19:24,919 Speaker 1: we are healthy and in an age range that this 354 00:19:25,040 --> 00:19:27,840 Speaker 1: is not likely to hurt us a bunch. Our children 355 00:19:28,119 --> 00:19:31,520 Speaker 1: are even less susceptible to being hurt badly, and we 356 00:19:31,560 --> 00:19:34,120 Speaker 1: are therefore going to try to live life the best 357 00:19:34,200 --> 00:19:38,040 Speaker 1: we can. I think it's important to say that I'm 358 00:19:38,119 --> 00:19:42,840 Speaker 1: proud that we made those decisions. I am glad that 359 00:19:42,880 --> 00:19:45,040 Speaker 1: I didn't put my kids through what a lot of 360 00:19:45,119 --> 00:19:48,720 Speaker 1: kids went through when they ended up with parents who 361 00:19:48,800 --> 00:19:51,880 Speaker 1: were not standing in the breach for them, who were 362 00:19:52,119 --> 00:19:54,800 Speaker 1: using them as a shield instead of being a shield 363 00:19:54,880 --> 00:19:57,879 Speaker 1: for them. Like some of the behavior of parents was 364 00:19:58,720 --> 00:20:03,320 Speaker 1: absolutely outrageous, putting their kids in tiny kids in guest 365 00:20:03,359 --> 00:20:05,600 Speaker 1: rooms and basements and feeding them under a crack in 366 00:20:05,640 --> 00:20:06,680 Speaker 1: the door when they had COVID. 367 00:20:06,680 --> 00:20:09,560 Speaker 2: I mean, it's just I'll just say, when my kids 368 00:20:09,560 --> 00:20:12,879 Speaker 2: had COVID, they were all over me they were like 369 00:20:12,920 --> 00:20:15,439 Speaker 2: on top of me, and I never got it. I 370 00:20:15,480 --> 00:20:16,280 Speaker 2: never got COVID. 371 00:20:16,280 --> 00:20:20,320 Speaker 1: That's the other you know, amazing. Yeah. So when the 372 00:20:20,359 --> 00:20:22,160 Speaker 1: first time I ever got COVID, which was of course 373 00:20:22,280 --> 00:20:24,160 Speaker 1: like a year and a half, two years in even 374 00:20:24,200 --> 00:20:29,439 Speaker 1: though I had been gallivanting, I had it with a 375 00:20:29,480 --> 00:20:33,080 Speaker 1: several month old baby. And like, you know, this is 376 00:20:33,119 --> 00:20:35,320 Speaker 1: the problem with coverage of the pandemic as well, is 377 00:20:35,320 --> 00:20:38,399 Speaker 1: that at the time, I knew if I wrote in 378 00:20:38,480 --> 00:20:42,639 Speaker 1: a motive piece about how devastating it was to be 379 00:20:42,840 --> 00:20:46,000 Speaker 1: to put my newborn in a bathroom by herself. 380 00:20:46,200 --> 00:20:48,560 Speaker 2: You'd be in the New York Times because I had to. 381 00:20:48,480 --> 00:20:52,119 Speaker 1: Protect her from COVID. I would have gotten a New 382 00:20:52,200 --> 00:20:54,320 Speaker 1: York Times calum. Yeah, but if I write a piece 383 00:20:54,359 --> 00:20:57,560 Speaker 1: that's like, yeah, I just like breastfed the baby and 384 00:20:58,080 --> 00:21:00,440 Speaker 1: assumed everything would be fine, and then everything, it's fine, 385 00:21:00,600 --> 00:21:04,480 Speaker 1: that's fine, they're not bed it's not allowed. Yeah, but 386 00:21:04,560 --> 00:21:07,080 Speaker 1: I think we needed much more of the chill version 387 00:21:07,320 --> 00:21:09,119 Speaker 1: we did of that in the news. 388 00:21:09,440 --> 00:21:11,520 Speaker 2: I kept waiting to get COVID so that I could 389 00:21:11,560 --> 00:21:13,600 Speaker 2: write the tweet that I had planned. You know a 390 00:21:13,640 --> 00:21:16,440 Speaker 2: lot of people had the I did everything right, but look, 391 00:21:16,440 --> 00:21:18,199 Speaker 2: I got COVID, and I wanted to be like, I 392 00:21:18,240 --> 00:21:22,520 Speaker 2: did everything wrong and look I got COVID. But yeah, 393 00:21:22,520 --> 00:21:23,600 Speaker 2: it never happened. 394 00:21:24,880 --> 00:21:25,080 Speaker 1: You know. 395 00:21:25,280 --> 00:21:28,040 Speaker 2: I'll just credit my strong Russian blood for that, I guess. 396 00:21:28,160 --> 00:21:31,840 Speaker 1: Yeah. I also think I can't remember the date, but 397 00:21:31,880 --> 00:21:35,760 Speaker 1: it was maybe early twenty twenty one. I think it 398 00:21:35,840 --> 00:21:39,080 Speaker 1: was past the vaccines and past like when we were 399 00:21:39,119 --> 00:21:43,440 Speaker 1: already an omicron era, when things were clearly less dangerous, 400 00:21:43,880 --> 00:21:47,119 Speaker 1: and you and I did a clubhouse with some other folks. 401 00:21:47,119 --> 00:21:51,879 Speaker 1: Liz Wolf might actually have been there, Nancy Rommelman for sure. Yeah, 402 00:21:51,920 --> 00:21:56,280 Speaker 1: where we said y'all gotta get out, like everybody's got 403 00:21:56,280 --> 00:22:00,000 Speaker 1: it now, to declare that you're done being in your house, 404 00:22:00,359 --> 00:22:03,639 Speaker 1: that you're reclaiming your old life. And I remember at 405 00:22:03,640 --> 00:22:06,679 Speaker 1: the time some people in the clubhouse, which was just 406 00:22:06,720 --> 00:22:09,760 Speaker 1: an audio only sort of like X spaces is now 407 00:22:11,119 --> 00:22:14,440 Speaker 1: some people being skeptical, like, why are y'all even talking 408 00:22:14,520 --> 00:22:18,760 Speaker 1: about this, because obviously people will reclaim their lives. But 409 00:22:18,840 --> 00:22:21,720 Speaker 1: as you say, once you've broken the habit of living life, 410 00:22:22,320 --> 00:22:25,399 Speaker 1: it becomes harder to go out and live life. And 411 00:22:25,440 --> 00:22:28,800 Speaker 1: a lot of people have stayed stuck, way more stuck 412 00:22:28,880 --> 00:22:30,160 Speaker 1: than they should have for sure. 413 00:22:30,400 --> 00:22:32,520 Speaker 2: The flip side of that is that when we moved 414 00:22:32,520 --> 00:22:35,399 Speaker 2: to Florida in January of twenty twenty two, and that was, 415 00:22:35,440 --> 00:22:37,199 Speaker 2: you know, we had already done like five months in 416 00:22:37,240 --> 00:22:40,000 Speaker 2: Florida in twenty twenty one, and we went back to 417 00:22:40,000 --> 00:22:42,040 Speaker 2: New York trying to figure things out and realize we 418 00:22:42,080 --> 00:22:44,520 Speaker 2: can't stay there and made the permanent move. When we 419 00:22:44,600 --> 00:22:48,680 Speaker 2: moved down here, even I met like even liberals down here, 420 00:22:48,880 --> 00:22:50,960 Speaker 2: they'd be like, oh, what made you leave New York? 421 00:22:51,000 --> 00:22:52,680 Speaker 2: And I'd be like, oh, the COVID insanity And they'd 422 00:22:52,720 --> 00:22:54,680 Speaker 2: be like, what are you talking about? And I was like, well, 423 00:22:54,680 --> 00:22:57,160 Speaker 2: our kids are still masking there, and they're like what 424 00:22:57,440 --> 00:23:00,320 Speaker 2: in twenty twenty two And they had no idea, Like 425 00:23:00,359 --> 00:23:02,840 Speaker 2: there was no way for them to really understand what 426 00:23:02,880 --> 00:23:04,000 Speaker 2: was going on. I was like, kind, only am my 427 00:23:04,080 --> 00:23:06,840 Speaker 2: kids masking in January twenty two when we moved down here. 428 00:23:07,840 --> 00:23:11,680 Speaker 2: They were eating lunch outside on the ground in the 429 00:23:11,720 --> 00:23:15,800 Speaker 2: cold in New York, pulling their mask down between bites. 430 00:23:15,840 --> 00:23:19,280 Speaker 2: And my middle son, who is argumentative and loves to debate, 431 00:23:19,680 --> 00:23:23,600 Speaker 2: was constantly getting into these fights with staff and other students. 432 00:23:23,600 --> 00:23:25,480 Speaker 2: Other students was like, actually a big one. They'd be like, 433 00:23:25,520 --> 00:23:27,080 Speaker 2: you know, pull up your mask, pull up your mask, 434 00:23:27,119 --> 00:23:30,399 Speaker 2: and he'd be like, it doesn't work anyway. And it 435 00:23:30,440 --> 00:23:33,960 Speaker 2: was just but at the same time, old people like 436 00:23:34,000 --> 00:23:36,119 Speaker 2: you know, you say, old people, young people. It was 437 00:23:36,119 --> 00:23:40,760 Speaker 2: a major difference in COVID, you know, poor outcomes. Old 438 00:23:40,800 --> 00:23:44,200 Speaker 2: people in New York were dining inside at restaurants full on, 439 00:23:44,480 --> 00:23:47,440 Speaker 2: masks off, and everything was fine. It just none of 440 00:23:47,480 --> 00:23:50,200 Speaker 2: it made any sense. And that is what I had 441 00:23:50,200 --> 00:23:53,840 Speaker 2: to get my kids away from. I kept thinking that 442 00:23:54,040 --> 00:23:57,400 Speaker 2: I can't have them living in this crazy place doing 443 00:23:57,400 --> 00:24:00,040 Speaker 2: these crazy things that we all know in Jack and 444 00:24:00,040 --> 00:24:02,280 Speaker 2: you were of twenty twenty two don't work. 445 00:24:03,280 --> 00:24:04,879 Speaker 1: We were also in a crazy place because we're in 446 00:24:04,880 --> 00:24:09,200 Speaker 1: northern Virginia. But we had a sort of a crew 447 00:24:09,240 --> 00:24:13,119 Speaker 1: of people who were doctors, nurses, law enforcement, or military 448 00:24:13,640 --> 00:24:17,680 Speaker 1: and they just had to work. We all they were 449 00:24:17,680 --> 00:24:20,800 Speaker 1: all working, and so all of our houses were to 450 00:24:21,040 --> 00:24:22,480 Speaker 1: some extent exposed, and. 451 00:24:22,400 --> 00:24:23,080 Speaker 2: We were all dirty. 452 00:24:23,119 --> 00:24:25,720 Speaker 1: Pretty as were dirty. We were all pretty comfortable with 453 00:24:25,760 --> 00:24:28,000 Speaker 1: the idea that we were exposed and that that was 454 00:24:28,160 --> 00:24:31,080 Speaker 1: just how life worked. And so we would hang out 455 00:24:31,600 --> 00:24:34,560 Speaker 1: together and you know, be icky together. 456 00:24:34,520 --> 00:24:37,960 Speaker 2: Right right where people like looking at us like you guys, 457 00:24:38,000 --> 00:24:42,120 Speaker 2: are you know you're just too loose, noting around too much? 458 00:24:42,280 --> 00:24:44,959 Speaker 1: It was wild. At one point in twenty twenty, I 459 00:24:45,000 --> 00:24:49,560 Speaker 1: offered to have kids at my home who had essential 460 00:24:49,600 --> 00:24:53,800 Speaker 1: worker parents who couldn't have child care for them. And 461 00:24:53,840 --> 00:24:56,840 Speaker 1: I was like, look, we're not a pod like we're exposed, 462 00:24:56,880 --> 00:24:58,639 Speaker 1: but if you have kids that you need care for, 463 00:24:58,920 --> 00:25:01,840 Speaker 1: please don't shame me. But I'm offering my home as 464 00:25:01,880 --> 00:25:04,959 Speaker 1: a place that they could do zoom class I can supervise. 465 00:25:06,359 --> 00:25:10,200 Speaker 1: Just putting that Facebook post up was so scary because 466 00:25:10,240 --> 00:25:11,920 Speaker 1: I knew someone was going to jump in the worse 467 00:25:12,280 --> 00:25:15,760 Speaker 1: and say, how dare you do this to your neighborhood. 468 00:25:15,760 --> 00:25:18,639 Speaker 1: You're going to kill somebody's grandma. By the way, our 469 00:25:18,680 --> 00:25:22,040 Speaker 1: grandparents and our family were like, oh, we will be 470 00:25:22,080 --> 00:25:22,840 Speaker 1: seeing the children. 471 00:25:24,600 --> 00:25:27,199 Speaker 2: My mom like three weeks in. It was like, this 472 00:25:27,280 --> 00:25:28,760 Speaker 2: is the longest six months of my life. 473 00:25:30,400 --> 00:25:30,679 Speaker 3: We did. 474 00:25:30,880 --> 00:25:33,400 Speaker 2: I think we waited like a moteless away anymore, you know. 475 00:25:33,320 --> 00:25:34,720 Speaker 1: I think we made it. We waited like a month 476 00:25:34,720 --> 00:25:35,800 Speaker 1: and a half. And then I was like, maybe we 477 00:25:35,800 --> 00:25:39,280 Speaker 1: should do outdoors because I was more worried about them. Sure, yes, 478 00:25:39,400 --> 00:25:42,479 Speaker 1: and the grandparent parents and our family luckily all quite healthy. 479 00:25:42,720 --> 00:25:46,840 Speaker 1: We're like, nah, I'm just gonna hang out because we're family, 480 00:25:47,200 --> 00:25:49,639 Speaker 1: and we did it and everybody was fine, right, but 481 00:25:49,800 --> 00:25:51,880 Speaker 1: you know, I just to wrap this up. 482 00:25:52,840 --> 00:25:55,719 Speaker 2: It's five years. We obviously are over a lot of it, 483 00:25:55,840 --> 00:25:58,959 Speaker 2: not over some other stuff, but we did have a 484 00:25:59,000 --> 00:26:02,520 Speaker 2: lot of negativity thrown at us, and we were right. 485 00:26:04,520 --> 00:26:06,320 Speaker 2: You know, I got threats. I'm sure you did. 486 00:26:06,320 --> 00:26:06,480 Speaker 4: Two. 487 00:26:08,320 --> 00:26:12,879 Speaker 2: In November of twenty twenty, I wrote spend Thanksgiving with 488 00:26:12,960 --> 00:26:16,800 Speaker 2: your family, and that got me an avalanche of abuse 489 00:26:17,040 --> 00:26:20,280 Speaker 2: on the internets. Yes, of course, all the people who 490 00:26:20,280 --> 00:26:22,800 Speaker 2: told us not to spend Thanksgiving with our families, like 491 00:26:22,920 --> 00:26:26,960 Speaker 2: my then governor now possible New York City mayor candidate 492 00:26:27,000 --> 00:26:31,720 Speaker 2: Andrew Pomo. He was planning to spend it with his family. 493 00:26:31,840 --> 00:26:34,240 Speaker 2: So while we were supposed to not see our families 494 00:26:34,240 --> 00:26:37,920 Speaker 2: on Thanksgiving, the people in charge were totally doing whatever 495 00:26:37,920 --> 00:26:38,399 Speaker 2: they wanted. 496 00:26:38,560 --> 00:26:41,600 Speaker 1: Doctor Burks did the same thing, Yeah, Gavin Newsome. 497 00:26:41,680 --> 00:26:44,680 Speaker 2: I mean, they all just did whatever they wanted, and 498 00:26:45,280 --> 00:26:47,639 Speaker 2: we took a lot of abuse for it, and I 499 00:26:48,040 --> 00:26:50,320 Speaker 2: definitely feel like we came out stronger on the other side. 500 00:26:50,320 --> 00:26:53,840 Speaker 2: But I'm not quite forgiven that yet, not that anybody's 501 00:26:53,840 --> 00:26:55,000 Speaker 2: asked for that. Forgiveness. 502 00:26:55,200 --> 00:26:57,720 Speaker 1: Yeah, I know that's not top of their minds. Well, 503 00:26:57,760 --> 00:27:00,800 Speaker 1: there is one sort of consequence that is rearing its 504 00:27:00,800 --> 00:27:02,600 Speaker 1: head this week, which we will close out with. Just 505 00:27:02,640 --> 00:27:05,240 Speaker 1: for the stats for you guys, half of the Department 506 00:27:05,240 --> 00:27:09,400 Speaker 1: of Education, Federal Department of Education is now laid off. 507 00:27:09,480 --> 00:27:13,760 Speaker 1: They were told to leave by six pm from their 508 00:27:13,960 --> 00:27:17,399 Speaker 1: headquarters yesterday in Washington, although I hope they sent that 509 00:27:17,480 --> 00:27:20,399 Speaker 1: email out before too, because ain't nobody was at the 510 00:27:20,400 --> 00:27:25,440 Speaker 1: Department of Education at six pm. You got to catch them, Merlin. Yeah, 511 00:27:25,480 --> 00:27:29,760 Speaker 1: thirteen hundred people laid off. There will be rending of garments, 512 00:27:29,920 --> 00:27:34,040 Speaker 1: there will be screaming from Randy Winegarden. These people didn't 513 00:27:34,080 --> 00:27:38,520 Speaker 1: care about disruptions in education, not at all. They only 514 00:27:38,600 --> 00:27:42,800 Speaker 1: care about a disruption in the racket of the pass 515 00:27:42,880 --> 00:27:46,560 Speaker 1: through of bureaucratic funds that go straight to their pockets 516 00:27:47,040 --> 00:27:52,000 Speaker 1: and not largely to education. So when people complain about this, 517 00:27:52,800 --> 00:27:54,840 Speaker 1: I will be checking to see if they complained about 518 00:27:54,840 --> 00:27:57,760 Speaker 1: the eighteen months that every child in every public school 519 00:27:57,800 --> 00:28:01,280 Speaker 1: in every major metro area was out of school. Yeah, 520 00:28:01,320 --> 00:28:05,480 Speaker 1: because this is the consequence of losing public trust and 521 00:28:05,560 --> 00:28:06,560 Speaker 1: not doing your job. 522 00:28:07,080 --> 00:28:09,920 Speaker 2: That's right. This is the fo to the fa yep, 523 00:28:11,000 --> 00:28:12,960 Speaker 2: I didn't give up cursing for lent. I could have 524 00:28:13,000 --> 00:28:15,960 Speaker 2: just said it, but I'm with you in solidarity. 525 00:28:16,000 --> 00:28:16,960 Speaker 1: Thank you. That's very good. 526 00:28:17,160 --> 00:28:20,600 Speaker 2: Thanks for joining us on normally. Normally airs Tuesdays and Thursdays, 527 00:28:20,680 --> 00:28:24,000 Speaker 2: and you can subscribe anywhere you get your podcasts. Drop 528 00:28:24,080 --> 00:28:27,160 Speaker 2: us an email at Normallythepod at gmail dot com. Thanks 529 00:28:27,160 --> 00:28:30,160 Speaker 2: for listening, and when things get weird, act normally