1 00:00:05,600 --> 00:00:09,480 Speaker 1: Hey guys, so welcome too. Normally I show with normal takes, 2 00:00:09,480 --> 00:00:10,840 Speaker 1: but when the news it gets weird. 3 00:00:10,920 --> 00:00:13,880 Speaker 2: I am Mary Calvin him and I am Carol Marco. 4 00:00:13,960 --> 00:00:15,720 Speaker 2: It's happy new Year, Mary, Catherine. 5 00:00:16,520 --> 00:00:18,920 Speaker 1: Happy new Year. We begin again. 6 00:00:18,960 --> 00:00:21,200 Speaker 3: I get to have all new goals and maybe meet 7 00:00:21,239 --> 00:00:23,440 Speaker 3: them all new taaks. 8 00:00:24,280 --> 00:00:27,000 Speaker 1: Or actually some of the same goals from last year. Yeah, 9 00:00:27,040 --> 00:00:30,200 Speaker 1: and some of the same takes whatever. All good. How 10 00:00:30,280 --> 00:00:35,400 Speaker 1: is it true? How was your new year? Or what 11 00:00:35,440 --> 00:00:37,320 Speaker 1: are you what are you gearing up for? 12 00:00:39,200 --> 00:00:41,839 Speaker 2: You know, I don't really do New Year's resolutions. I 13 00:00:41,960 --> 00:00:46,080 Speaker 2: just constantly try for the same stuff, like use the internet, list, 14 00:00:46,280 --> 00:00:49,440 Speaker 2: read more books, that kind of thing. So I don't 15 00:00:49,479 --> 00:00:52,960 Speaker 2: have anything particular that I plan around New Years. I 16 00:00:53,040 --> 00:00:57,520 Speaker 2: realized that it's a big thing for people, so you know, 17 00:00:57,760 --> 00:01:01,160 Speaker 2: I recognize that that that you know, I see it 18 00:01:01,200 --> 00:01:02,680 Speaker 2: also as a starting point the way. 19 00:01:02,520 --> 00:01:03,040 Speaker 1: Other people do. 20 00:01:03,160 --> 00:01:05,920 Speaker 2: I just don't ever come up with anything worth starting with. 21 00:01:06,200 --> 00:01:06,600 Speaker 1: I'm with you. 22 00:01:06,640 --> 00:01:10,119 Speaker 3: I always try the same things, which is like every 23 00:01:10,160 --> 00:01:12,800 Speaker 3: year there's a new planner or a new productivity tool 24 00:01:12,840 --> 00:01:15,040 Speaker 3: that I'm like, yeah, this is definitely going to stick 25 00:01:15,080 --> 00:01:17,000 Speaker 3: this time. I can feel it. I can feel it 26 00:01:17,000 --> 00:01:20,080 Speaker 3: in my bones. We'll check in in late January and 27 00:01:20,120 --> 00:01:22,759 Speaker 3: we will find that that's probably the case. But who knows, 28 00:01:22,880 --> 00:01:24,920 Speaker 3: maybe this year will be the one that I that 29 00:01:25,040 --> 00:01:27,400 Speaker 3: I find the real one it's gonna happen. 30 00:01:28,200 --> 00:01:30,319 Speaker 2: This could be the year you find the planner that 31 00:01:30,400 --> 00:01:31,600 Speaker 2: helps you actually plan. 32 00:01:31,800 --> 00:01:39,279 Speaker 1: Yes see, I believe. Okay, shall we get some news, Yeah. 33 00:01:39,200 --> 00:01:43,720 Speaker 2: Let's do it. It was an exciting Christmas New Year's 34 00:01:44,400 --> 00:01:48,840 Speaker 2: holiday with a lot of arguing. It seems like there 35 00:01:48,920 --> 00:01:52,559 Speaker 2: was a rift in the manga movement before Trump even 36 00:01:52,600 --> 00:01:57,640 Speaker 2: takes office, and it mostly stemmed from Elon Musk and 37 00:01:57,720 --> 00:02:00,920 Speaker 2: Vivek Ramswami coming out and favor of the H one 38 00:02:01,000 --> 00:02:06,680 Speaker 2: B visas, which are temporary work visas, and I don't know, 39 00:02:07,000 --> 00:02:11,360 Speaker 2: it seemed like it got really heated and that I 40 00:02:11,440 --> 00:02:14,200 Speaker 2: didn't quite know where it was going to end up, 41 00:02:14,320 --> 00:02:17,040 Speaker 2: because there was some definite parts of it that I 42 00:02:17,080 --> 00:02:22,760 Speaker 2: felt were a little weird, a little abnormal, And for example, 43 00:02:23,000 --> 00:02:27,639 Speaker 2: the Vivek tweeting out that the culture that venerates Corey 44 00:02:27,720 --> 00:02:30,600 Speaker 2: from Boy Meets World, or Zach and Slater over Screeched 45 00:02:30,600 --> 00:02:33,000 Speaker 2: and saved by the Bell, or Stefan over Steve Erkele 46 00:02:33,040 --> 00:02:36,200 Speaker 2: and family matters will not produce the best engineers, and 47 00:02:36,280 --> 00:02:39,239 Speaker 2: I was like, Okay, then I guess we won't produce 48 00:02:39,280 --> 00:02:43,519 Speaker 2: the best engineers because those people are awesome. Why would 49 00:02:43,600 --> 00:02:44,720 Speaker 2: we not venerate them? 50 00:02:45,280 --> 00:02:50,519 Speaker 3: Right? Yeah, So it got weird because there was this 51 00:02:51,360 --> 00:02:53,880 Speaker 3: I think a lot of people watching from the outside 52 00:02:54,720 --> 00:02:58,240 Speaker 3: were gratified to watch a clash between the tech bro 53 00:02:58,680 --> 00:03:03,480 Speaker 3: culture and the need for sort of like highly talented 54 00:03:03,600 --> 00:03:08,640 Speaker 3: technical H one B Visa engineers, which is what Elon 55 00:03:08,800 --> 00:03:13,880 Speaker 3: was talking about, and the crew that does not like immigration, 56 00:03:14,200 --> 00:03:17,760 Speaker 3: particularly illegal immigration, but also has concerns about any immigration 57 00:03:17,880 --> 00:03:21,560 Speaker 3: that crowds out American workers, right, and that's the more populist, 58 00:03:21,680 --> 00:03:24,480 Speaker 3: more working class part of the MAGA coalition. So the 59 00:03:24,520 --> 00:03:27,480 Speaker 3: fact that these two are going at it over Christmas 60 00:03:27,720 --> 00:03:32,360 Speaker 3: on H one B visas was fun for people to watch. 61 00:03:32,560 --> 00:03:36,800 Speaker 3: It also got nasty about culture. Sometimes these things, anytime 62 00:03:36,800 --> 00:03:39,200 Speaker 3: you have an immigration discussion, they can get nasty about 63 00:03:39,560 --> 00:03:43,520 Speaker 3: culture and race or xenophobia. There can be elements of that. However, 64 00:03:43,560 --> 00:03:48,000 Speaker 3: the parts that were interesting were the fact that we 65 00:03:48,000 --> 00:03:51,800 Speaker 3: were having a pretty technical discussion at times about H 66 00:03:51,880 --> 00:03:55,480 Speaker 3: one B visas, Yeah, which is something that for many 67 00:03:55,560 --> 00:03:56,760 Speaker 3: years we. 68 00:03:56,800 --> 00:03:57,960 Speaker 1: Have not been having. 69 00:03:58,000 --> 00:04:02,480 Speaker 3: We haven't been having actual policy discussions, So there were 70 00:04:03,080 --> 00:04:05,600 Speaker 3: there were elements of it that I very much enjoyed. 71 00:04:05,640 --> 00:04:09,160 Speaker 3: Although I say that we, you know, venerating an athlete 72 00:04:09,200 --> 00:04:11,760 Speaker 3: and a scholar is what we should be doing. 73 00:04:12,040 --> 00:04:12,680 Speaker 1: As a culture. 74 00:04:12,720 --> 00:04:17,480 Speaker 3: I don't have a problem with the cool dudes from 75 00:04:17,520 --> 00:04:20,120 Speaker 3: our our cannon, as it were. 76 00:04:20,240 --> 00:04:23,040 Speaker 2: Yeah, so we said this before, you know, I said 77 00:04:23,080 --> 00:04:25,839 Speaker 2: this to each other before we started recording, But I 78 00:04:25,880 --> 00:04:28,760 Speaker 2: didn't know where you were on this issue. Like, I 79 00:04:28,800 --> 00:04:32,679 Speaker 2: don't feel like this is a perfect alignment of other issues. 80 00:04:32,720 --> 00:04:35,640 Speaker 2: So for example, I think I'm pretty aligned with Elon 81 00:04:36,040 --> 00:04:37,880 Speaker 2: on a lot of things, but vec I just find 82 00:04:37,960 --> 00:04:40,400 Speaker 2: him to be too flip floppy and all over the place. 83 00:04:41,360 --> 00:04:43,840 Speaker 2: But suddenly I found myself on the same side, like 84 00:04:44,080 --> 00:04:45,800 Speaker 2: with like Laura Lumer, and I was like, I don't 85 00:04:45,839 --> 00:04:50,120 Speaker 2: like this at all. So it's interesting because Okay, I'm 86 00:04:50,120 --> 00:04:54,559 Speaker 2: an immigrant. Obviously I am pro immigration, but I fully 87 00:04:54,720 --> 00:04:58,680 Speaker 2: understand what the problem is with these temporary work visas 88 00:04:58,720 --> 00:05:00,480 Speaker 2: and how they are abused and the way that we 89 00:05:00,600 --> 00:05:06,560 Speaker 2: end up importing lower income workers and it does take 90 00:05:06,680 --> 00:05:09,839 Speaker 2: jobs from Americans, and I don't understand why we need 91 00:05:10,080 --> 00:05:13,640 Speaker 2: a lot of this. So I think where this argument 92 00:05:13,720 --> 00:05:16,800 Speaker 2: has ended up is that this program needs reform, and 93 00:05:17,000 --> 00:05:19,600 Speaker 2: that's where I am as well. One other thing that 94 00:05:19,640 --> 00:05:22,719 Speaker 2: I wanted to say was before Trump commented on it, 95 00:05:22,800 --> 00:05:25,320 Speaker 2: I knew which side he was going to take, because 96 00:05:25,520 --> 00:05:28,599 Speaker 2: he has been very open about the fact that he 97 00:05:29,160 --> 00:05:31,640 Speaker 2: does think that we should be importing really smart people, 98 00:05:31,680 --> 00:05:34,640 Speaker 2: and that he would be open to giving green cards 99 00:05:34,680 --> 00:05:38,280 Speaker 2: to every single foreign national who graduates from a US college, 100 00:05:38,279 --> 00:05:39,480 Speaker 2: which I think is insane. 101 00:05:39,880 --> 00:05:40,800 Speaker 1: That's a terrible idea. 102 00:05:41,680 --> 00:05:45,360 Speaker 2: Yeah, horrible. But the people that were surprised at Trump's take, 103 00:05:45,440 --> 00:05:48,159 Speaker 2: I just think a lot of people project onto him 104 00:05:48,600 --> 00:05:51,800 Speaker 2: what they want him to believe. And you and I 105 00:05:51,839 --> 00:05:53,400 Speaker 2: have said this on here a lot, but he is 106 00:05:53,480 --> 00:05:56,560 Speaker 2: actually a moderate and that continues to be a surprise 107 00:05:56,680 --> 00:05:59,479 Speaker 2: to a lot of people. And I knew he would be. 108 00:05:59,680 --> 00:06:02,160 Speaker 2: I knew he'd be with Vivek and Elon on this 109 00:06:02,320 --> 00:06:04,360 Speaker 2: because he's been with them all along. 110 00:06:05,600 --> 00:06:08,520 Speaker 3: Yeah, So I kind of am where you are. I 111 00:06:08,560 --> 00:06:11,000 Speaker 3: think I'm generally pro the idea of H one B 112 00:06:11,120 --> 00:06:13,960 Speaker 3: visa's it gives us a chance to bring cream of 113 00:06:13,960 --> 00:06:17,360 Speaker 3: the crop talent from other countries to our country. 114 00:06:18,000 --> 00:06:18,680 Speaker 1: Our country is. 115 00:06:18,680 --> 00:06:21,159 Speaker 3: A place that can take cream of the crop talent 116 00:06:21,200 --> 00:06:24,680 Speaker 3: from other countries and wet it with this very audacious, 117 00:06:24,720 --> 00:06:30,039 Speaker 3: big dreaming American psyche and opportunity and create even bigger things. 118 00:06:30,080 --> 00:06:32,360 Speaker 3: I think Elon Musk is obviously an example of that. 119 00:06:33,720 --> 00:06:36,359 Speaker 3: But this was what struck me in the conversation, is 120 00:06:36,400 --> 00:06:42,200 Speaker 3: that any government program, first of all, particularly these days, 121 00:06:42,800 --> 00:06:45,240 Speaker 3: I'm open to reforming. Like, I'm going to listen to 122 00:06:45,279 --> 00:06:48,320 Speaker 3: you if you say that this program isn't working as designed, Yeah, 123 00:06:48,480 --> 00:06:51,359 Speaker 3: because it seems like this is not what it was 124 00:06:51,400 --> 00:06:54,039 Speaker 3: actually intended to do. And I think in some of 125 00:06:54,040 --> 00:06:56,480 Speaker 3: the stuff that people have looked up, you know, a 126 00:06:56,520 --> 00:07:00,480 Speaker 3: lot of these are not jobs that perfectly qualified Americans 127 00:07:00,760 --> 00:07:04,880 Speaker 3: could not do. And I also understand it makes perfect 128 00:07:04,880 --> 00:07:09,520 Speaker 3: sense that there could be opportunity for abuse of the 129 00:07:09,520 --> 00:07:12,880 Speaker 3: program and mistreatment of the people who come to this 130 00:07:13,000 --> 00:07:17,240 Speaker 3: country because they are so dependent on this particular program 131 00:07:17,800 --> 00:07:20,760 Speaker 3: that you can get sort of exorbitant working hours out 132 00:07:20,800 --> 00:07:23,600 Speaker 3: of them in order for them to keep these visas. 133 00:07:23,640 --> 00:07:25,080 Speaker 3: So that concerns me as well. 134 00:07:25,680 --> 00:07:27,960 Speaker 2: A lot of people have posted kind of stories about 135 00:07:28,000 --> 00:07:31,200 Speaker 2: this and how these workers are treated. There's also just 136 00:07:31,240 --> 00:07:35,960 Speaker 2: the element of is this immigration, Is this people coming 137 00:07:35,960 --> 00:07:40,280 Speaker 2: to America to start their lives? And be American and 138 00:07:40,360 --> 00:07:43,200 Speaker 2: all of it, or is this a worker program which 139 00:07:43,240 --> 00:07:46,800 Speaker 2: is completely different. And so when the argument happens like, 140 00:07:46,920 --> 00:07:49,000 Speaker 2: oh this is you know, if you oppose this, your 141 00:07:49,040 --> 00:07:53,320 Speaker 2: anti immigration, Well, no, I'm actually for immigration. I think 142 00:07:53,360 --> 00:07:57,080 Speaker 2: we could take a breath because we've had this insane 143 00:07:57,480 --> 00:08:00,360 Speaker 2: number of people coming illegally over our boardroom. You can 144 00:08:00,400 --> 00:08:03,280 Speaker 2: decide what we want our legal immigration numbers to look like. 145 00:08:03,680 --> 00:08:07,000 Speaker 2: But I don't think this is necessarily an immigration program. 146 00:08:07,040 --> 00:08:10,800 Speaker 2: And so all around, I again found myself on the 147 00:08:10,840 --> 00:08:14,000 Speaker 2: side of people that I normally don't align with and 148 00:08:14,640 --> 00:08:16,440 Speaker 2: found that very confusing. 149 00:08:16,680 --> 00:08:17,920 Speaker 1: Yeah, I agree with you. 150 00:08:17,960 --> 00:08:21,000 Speaker 3: Again, I'm sort of still waiting through it because it 151 00:08:21,080 --> 00:08:24,280 Speaker 3: is the holidays, and I looked around and was like, wow, 152 00:08:24,280 --> 00:08:26,200 Speaker 3: we're having a lot of folks are having a big 153 00:08:26,200 --> 00:08:29,560 Speaker 3: fight about this, and I am not yet engaged in that. 154 00:08:31,040 --> 00:08:34,920 Speaker 3: But I do think that having people argue about it 155 00:08:34,960 --> 00:08:37,679 Speaker 3: and coming to a sort of rough conclusion that this 156 00:08:37,720 --> 00:08:40,800 Speaker 3: needs to be looked at more closely and reformed does 157 00:08:40,840 --> 00:08:45,079 Speaker 3: not make me upset, And it seems like a decent conclusion. 158 00:08:45,600 --> 00:08:49,280 Speaker 3: And the thing that is interesting about Musk and other 159 00:08:49,360 --> 00:08:52,920 Speaker 3: tech guys who have large platforms talking about this kind 160 00:08:52,960 --> 00:08:55,360 Speaker 3: of thing is that it can bring attention to sort 161 00:08:55,400 --> 00:08:59,920 Speaker 3: of niche interesting policy areas that not everybody has thought about, 162 00:09:00,200 --> 00:09:02,760 Speaker 3: and then you do have an airing of grievances that 163 00:09:02,840 --> 00:09:04,160 Speaker 3: you wouldn't have otherwise had. 164 00:09:05,240 --> 00:09:09,120 Speaker 2: Right, Yeah, I look, I love debate. I love getting 165 00:09:09,400 --> 00:09:13,120 Speaker 2: to a place where people can agree on something. I 166 00:09:13,120 --> 00:09:14,760 Speaker 2: don't think any of this is bad. I'm one of 167 00:09:14,760 --> 00:09:17,800 Speaker 2: those people who loves primaries, and I think that they're 168 00:09:17,800 --> 00:09:20,199 Speaker 2: important for a party. And if you want to see 169 00:09:20,200 --> 00:09:22,360 Speaker 2: that in action and why that matters so much, check 170 00:09:22,400 --> 00:09:26,800 Speaker 2: out the Democrats right now. Primaries really matter. We hash 171 00:09:26,840 --> 00:09:28,800 Speaker 2: out our ideas. I don't think they're supposed to be 172 00:09:28,840 --> 00:09:32,960 Speaker 2: so personal. Although obviously Vivek has definitely gotten some personal 173 00:09:33,040 --> 00:09:37,280 Speaker 2: attacks since this all went down. You know, I've never 174 00:09:37,360 --> 00:09:39,080 Speaker 2: been a fan of his obviously, I don't like any 175 00:09:39,120 --> 00:09:42,640 Speaker 2: of the racist nonsense at him at all. But I 176 00:09:42,760 --> 00:09:45,440 Speaker 2: just I've always found him to that he just says whatever, 177 00:09:45,600 --> 00:09:48,080 Speaker 2: Like they have video of him opposing the H one 178 00:09:48,160 --> 00:09:50,520 Speaker 2: B program in the past, and you know, not that 179 00:09:50,600 --> 00:09:52,680 Speaker 2: long ago either, like when he ran for president last 180 00:09:52,760 --> 00:09:55,800 Speaker 2: year or so. So he's kind of all over the board. 181 00:09:55,880 --> 00:09:58,880 Speaker 2: But I don't think it should be personal I think 182 00:09:58,920 --> 00:10:01,840 Speaker 2: we should get to where we want to be as 183 00:10:01,920 --> 00:10:05,080 Speaker 2: a party and as a philosophy. And I'm willing to 184 00:10:05,160 --> 00:10:08,199 Speaker 2: be convinced one way or the other. And so I 185 00:10:08,960 --> 00:10:11,439 Speaker 2: enjoyed all of that. I think that it's good for 186 00:10:11,679 --> 00:10:13,360 Speaker 2: us on the right in general. 187 00:10:14,080 --> 00:10:16,320 Speaker 3: Also something I am versed in and just a quick 188 00:10:16,360 --> 00:10:20,760 Speaker 3: fact check for Vivic, Zach did score higher than Screech 189 00:10:20,880 --> 00:10:24,520 Speaker 3: famously on the SAT and say by the Bell and 190 00:10:25,679 --> 00:10:30,760 Speaker 3: Laura famously chose Stephen over Stefan in family matters. So 191 00:10:30,840 --> 00:10:32,640 Speaker 3: I just want to say, maybe we are in the 192 00:10:32,679 --> 00:10:36,480 Speaker 3: right spot. Maybe American culture is not the problem. Yeah, 193 00:10:37,160 --> 00:10:38,280 Speaker 3: what did I will say? 194 00:10:38,280 --> 00:10:39,960 Speaker 1: What did you take? What did you make of the 195 00:10:40,640 --> 00:10:43,600 Speaker 1: critique of American culture? Where Vivic was. 196 00:10:43,600 --> 00:10:46,680 Speaker 3: Basically saying, if you're not and I don't think this 197 00:10:46,760 --> 00:10:48,679 Speaker 3: term is problematic because it was a book, But if 198 00:10:48,679 --> 00:10:52,360 Speaker 3: you're not tiger momming your kids, if they aren't having 199 00:10:52,400 --> 00:10:56,400 Speaker 3: mathematics tutoring all the time, if they aren't doing extra 200 00:10:57,480 --> 00:11:02,080 Speaker 3: curriculars academically at all times, if they're indulging in silliness 201 00:11:02,160 --> 00:11:07,000 Speaker 3: like watching TV and what have you, that we're not 202 00:11:07,040 --> 00:11:11,439 Speaker 3: going to create top engineers Like that's basically what's required. 203 00:11:11,640 --> 00:11:14,719 Speaker 2: Well, I you know, I would say that, first of all, 204 00:11:14,760 --> 00:11:20,640 Speaker 2: I love the original Tiger Mom, Amy Chua. She'd love professor. 205 00:11:20,760 --> 00:11:24,680 Speaker 2: She's fantastic. I love everything she writes. But I think 206 00:11:24,720 --> 00:11:29,280 Speaker 2: that obviously her book or philosophy, it's a few steps 207 00:11:29,280 --> 00:11:34,240 Speaker 2: too far from me. I am definitely a tougher parent 208 00:11:34,480 --> 00:11:37,160 Speaker 2: where I'm very like, why isn't this one hundred? Why 209 00:11:37,240 --> 00:11:39,880 Speaker 2: is this a ninety? You know, my daughter says that 210 00:11:39,920 --> 00:11:42,319 Speaker 2: one time I said to her, let her ninety two 211 00:11:42,440 --> 00:11:48,960 Speaker 2: was dangerously close to eighty nine. And but here's the thing. 212 00:11:49,080 --> 00:11:50,000 Speaker 1: I have three kids. 213 00:11:50,080 --> 00:11:54,120 Speaker 2: They're very different, like they just are. I would say 214 00:11:54,120 --> 00:11:57,240 Speaker 2: my youngest is very Zach Slater, and he's young, so 215 00:11:57,480 --> 00:12:00,240 Speaker 2: who knows, maybe he'll grow up and becomes Screez. She's 216 00:12:00,280 --> 00:12:04,520 Speaker 2: only nine. But he's charming as hell. And he is 217 00:12:04,600 --> 00:12:07,880 Speaker 2: the person that everybody gravitates towards. And you know, you 218 00:12:08,000 --> 00:12:11,120 Speaker 2: send me videos of NFL players who are small in size, 219 00:12:11,160 --> 00:12:14,760 Speaker 2: because he wants to go to the NFL and he's tiny. 220 00:12:15,320 --> 00:12:18,000 Speaker 2: People are different, they're different. And while I have that 221 00:12:18,120 --> 00:12:21,360 Speaker 2: Tiger mom, Jean, you know, the immigrant mom who thinks 222 00:12:21,400 --> 00:12:23,720 Speaker 2: the kids need to work harder. And I love I 223 00:12:23,800 --> 00:12:26,280 Speaker 2: love my kids struggle in school because it means that 224 00:12:26,280 --> 00:12:28,319 Speaker 2: they're having to work, and I don't like when things 225 00:12:28,360 --> 00:12:31,760 Speaker 2: are easy for them. I saw what was so offensive 226 00:12:31,800 --> 00:12:34,480 Speaker 2: about what he was saying. He was like, your American 227 00:12:34,520 --> 00:12:37,160 Speaker 2: culture is not that great, and you need to be 228 00:12:37,160 --> 00:12:40,080 Speaker 2: able to compete with these other cultures that nobody wants 229 00:12:40,120 --> 00:12:42,200 Speaker 2: to be a part of. Nobody's Like, I'm dying to 230 00:12:42,240 --> 00:12:44,400 Speaker 2: move to India so my kids can be Indian and 231 00:12:44,760 --> 00:12:47,880 Speaker 2: soaphi in that culture, or China or any of these places. 232 00:12:48,040 --> 00:12:49,880 Speaker 2: And you don't have to be against these places or 233 00:12:49,880 --> 00:12:52,960 Speaker 2: these people to know that we have something really special 234 00:12:52,960 --> 00:12:56,160 Speaker 2: in America. And it's definitely seemed like Vivec was just 235 00:12:56,200 --> 00:12:57,880 Speaker 2: dismissing our specialness. 236 00:12:58,640 --> 00:13:01,040 Speaker 3: Yeah, Like, isn't it the beauty of America that you 237 00:13:01,080 --> 00:13:05,920 Speaker 3: can have immigrant families come and bring this like incredible 238 00:13:06,000 --> 00:13:09,120 Speaker 3: drive and high expectations and it is wetted with a 239 00:13:09,200 --> 00:13:14,880 Speaker 3: different vibe in America that creates different results. I would 240 00:13:14,920 --> 00:13:19,000 Speaker 3: also say that I am a laid back person in general, 241 00:13:19,640 --> 00:13:23,760 Speaker 3: but I was an excellent student, so I am always 242 00:13:24,520 --> 00:13:27,360 Speaker 3: I am always asking that of my children. That is 243 00:13:27,400 --> 00:13:30,760 Speaker 3: important to me. That was something I took price. 244 00:13:31,360 --> 00:13:34,880 Speaker 2: I was a straight B student. I didn't try, and 245 00:13:35,440 --> 00:13:37,600 Speaker 2: I had parents who are working all the time and 246 00:13:37,760 --> 00:13:42,000 Speaker 2: didn't really push me. And I don't know for some reason, 247 00:13:42,360 --> 00:13:45,160 Speaker 2: I do push my kids. I think that like, go ahead, 248 00:13:45,200 --> 00:13:46,120 Speaker 2: strive for success. 249 00:13:46,160 --> 00:13:46,760 Speaker 1: You can do it. 250 00:13:46,800 --> 00:13:50,480 Speaker 2: And I'm, you know, dangerously close to eighty nine is 251 00:13:50,520 --> 00:13:51,320 Speaker 2: just not good enough. 252 00:13:53,280 --> 00:13:55,720 Speaker 1: It wouldn't have been good enough for little Mary Catherine. 253 00:13:55,760 --> 00:13:56,560 Speaker 1: I'll tell you that much. 254 00:13:58,400 --> 00:13:59,920 Speaker 2: We'll be right back on normal. 255 00:14:03,679 --> 00:14:04,960 Speaker 1: What do we have up next? 256 00:14:05,040 --> 00:14:10,200 Speaker 3: I think we have the media slowly but surely coming 257 00:14:10,240 --> 00:14:14,240 Speaker 3: around to the idea that there was a story that 258 00:14:14,440 --> 00:14:17,160 Speaker 3: was underreported this year, Carol. 259 00:14:17,920 --> 00:14:21,280 Speaker 1: If only someone had clipped it. We have a little 260 00:14:21,280 --> 00:14:24,600 Speaker 1: clip from CBS's Face to the Nation, and this is 261 00:14:24,680 --> 00:14:28,960 Speaker 1: Jan Crawford talking about what her pick is for most 262 00:14:29,080 --> 00:14:33,440 Speaker 1: underreported story of twenty twenty four undercovered, underreported. 263 00:14:34,160 --> 00:14:38,400 Speaker 4: That would be, to me, Joe Biden's obvious cognitive decline 264 00:14:38,400 --> 00:14:42,440 Speaker 4: that became undeniable in the televised debate the presidential debate 265 00:14:42,440 --> 00:14:45,800 Speaker 4: was unquestioned. And you know it's starting to emerge now 266 00:14:45,880 --> 00:14:51,040 Speaker 4: that his advisors kind of managed his limitations been reported 267 00:14:51,040 --> 00:14:54,360 Speaker 4: in the Wall Street Journal for four years, and yet 268 00:14:54,400 --> 00:14:56,560 Speaker 4: he insisted that he could still run for president. We 269 00:14:56,560 --> 00:15:00,480 Speaker 4: should have much more forcefully questioned whether he was fit 270 00:15:00,800 --> 00:15:03,120 Speaker 4: for office for another four years, which could have led 271 00:15:03,120 --> 00:15:06,000 Speaker 4: to a primary for the Democrats. It could have changed 272 00:15:06,040 --> 00:15:11,040 Speaker 4: the scope of the entire election. Yet still, incredibly we 273 00:15:11,120 --> 00:15:13,720 Speaker 4: read the Washington Post that his advisors are saying that 274 00:15:13,760 --> 00:15:15,760 Speaker 4: he regrets that he dropped out. 275 00:15:15,640 --> 00:15:16,080 Speaker 5: Of the race. 276 00:15:16,800 --> 00:15:18,560 Speaker 4: You know that he thinks he could have beaten Trump, 277 00:15:18,640 --> 00:15:21,240 Speaker 4: and I think that is either delusional or their gas light. 278 00:15:24,200 --> 00:15:30,320 Speaker 2: Yeah. So, obviously it's been a long road to get 279 00:15:30,360 --> 00:15:34,120 Speaker 2: to this. We all knew what was going on, we 280 00:15:34,160 --> 00:15:37,400 Speaker 2: all knew that it was not being reported. Having said 281 00:15:37,400 --> 00:15:40,440 Speaker 2: all that, I don't think that Joe Biden is entirely 282 00:15:40,520 --> 00:15:42,720 Speaker 2: wrong that he could have done better than Kamala Harris. 283 00:15:43,440 --> 00:15:46,720 Speaker 2: Maybe he wouldn't have won, but he would have He 284 00:15:46,760 --> 00:15:48,680 Speaker 2: would have put up a better fight than she did. 285 00:15:49,800 --> 00:15:51,720 Speaker 3: Interesting, I don't I don't think he would have done 286 00:15:51,880 --> 00:15:54,120 Speaker 3: much worse, But I don't know. 287 00:15:54,160 --> 00:15:57,840 Speaker 1: Those numbers before he dropped out were looking pretty bad. 288 00:15:58,560 --> 00:15:58,880 Speaker 2: They were. 289 00:15:58,920 --> 00:16:00,720 Speaker 3: I think there's an argument to me made that even 290 00:16:00,760 --> 00:16:04,240 Speaker 3: though she was bad, her sort of new energy got 291 00:16:04,280 --> 00:16:08,280 Speaker 3: them back to where a healthier Biden would have been. 292 00:16:08,560 --> 00:16:10,640 Speaker 3: But this is the problem, is that the press was 293 00:16:10,680 --> 00:16:13,680 Speaker 3: all saying there's nothing wrong with him, Democrat partisans. But 294 00:16:13,680 --> 00:16:15,880 Speaker 3: I repeat myself, we're all saying there's nothing. 295 00:16:15,680 --> 00:16:19,120 Speaker 1: Wrong with him. And the American people saw through it. 296 00:16:19,160 --> 00:16:21,640 Speaker 3: The whole time. They saw through it the whole time. 297 00:16:22,160 --> 00:16:25,240 Speaker 3: It was under reported by people who had the access 298 00:16:25,360 --> 00:16:28,840 Speaker 3: to report it. People who were watching with their eyes 299 00:16:29,680 --> 00:16:34,040 Speaker 3: could report it to themselves. It was very obvious. 300 00:16:34,480 --> 00:16:36,840 Speaker 1: Now I don't want to myself. 301 00:16:37,400 --> 00:16:40,120 Speaker 3: I want to spare Jan Crawford my worst because Jan 302 00:16:40,200 --> 00:16:42,800 Speaker 3: Crawford is a person who has stuck up for other 303 00:16:42,920 --> 00:16:46,440 Speaker 3: reporters who were doing the right thing in her CBS organization, 304 00:16:46,480 --> 00:16:48,880 Speaker 3: which is not easy to do. Remember when Tony Ducopile 305 00:16:48,880 --> 00:16:53,280 Speaker 3: got in trouble for us for questionings Coats and she 306 00:16:53,320 --> 00:16:55,760 Speaker 3: stuck up for him. And I think it's the right 307 00:16:55,800 --> 00:16:58,160 Speaker 3: thing to do to say, hey, we did the wrong 308 00:16:58,240 --> 00:17:03,200 Speaker 3: thing here or man, this is so late in the game, 309 00:17:03,320 --> 00:17:07,080 Speaker 3: like under I like how she calls it obvious, right 310 00:17:08,119 --> 00:17:10,840 Speaker 3: was it obvious? Because if it was obvious, then you 311 00:17:10,880 --> 00:17:14,000 Speaker 3: guys were hiding it. And the funny thing is, as 312 00:17:14,000 --> 00:17:16,919 Speaker 3: the as the camera goes around this roundtable, every single 313 00:17:16,960 --> 00:17:20,320 Speaker 3: person there is like knows they knew and you could 314 00:17:20,359 --> 00:17:23,760 Speaker 3: see their faces like, are we saying the thing? 315 00:17:23,920 --> 00:17:24,679 Speaker 1: Are we saying the thing? 316 00:17:25,880 --> 00:17:28,760 Speaker 2: Right? I also think they're gonna I think they are 317 00:17:28,760 --> 00:17:30,639 Speaker 2: going to say the thing that we knew I knew. 318 00:17:30,760 --> 00:17:33,959 Speaker 2: The people love saying that they knew, like when the 319 00:17:34,119 --> 00:17:36,719 Speaker 2: Harvey Weinstein thing broke and all these celebrities like, oh 320 00:17:36,760 --> 00:17:40,040 Speaker 2: everybody knew. Everybody knew, Like everybody knew, why did anybody 321 00:17:40,040 --> 00:17:44,600 Speaker 2: say anything? So I think these media people do actually 322 00:17:44,680 --> 00:17:50,120 Speaker 2: come around and say end up saying I personally felt something, 323 00:17:50,160 --> 00:17:53,800 Speaker 2: but I couldn't or I didn't and being apologetic. Chris 324 00:17:54,080 --> 00:17:59,080 Speaker 2: Khaliza am mis saying his name right, Lisa said something 325 00:17:59,119 --> 00:18:01,320 Speaker 2: similar to that. He's said that, you know, he takes 326 00:18:01,320 --> 00:18:05,600 Speaker 2: responsibility for not not not being more forthright about what 327 00:18:05,680 --> 00:18:08,440 Speaker 2: he thought at the time. So they're going to get there. 328 00:18:09,480 --> 00:18:09,840 Speaker 1: They are. 329 00:18:10,400 --> 00:18:13,480 Speaker 3: You also have to look back and remember how much 330 00:18:14,520 --> 00:18:18,199 Speaker 3: flak the Wall Street Journal reporters took for being the 331 00:18:18,280 --> 00:18:21,200 Speaker 3: first to report the story pre election. Now it's okay 332 00:18:21,240 --> 00:18:23,520 Speaker 3: to talk about, right, but pre election, it was not 333 00:18:23,920 --> 00:18:27,000 Speaker 3: how much flak all the rest of us took for saying, hey, 334 00:18:27,040 --> 00:18:28,960 Speaker 3: it does kind of look like he's wandering everywhere and 335 00:18:29,000 --> 00:18:31,639 Speaker 3: being led by the hand and getting explicit questions handed 336 00:18:31,680 --> 00:18:34,520 Speaker 3: to him to ask of people in stage directions that 337 00:18:34,600 --> 00:18:40,560 Speaker 3: normal people don't need, and they called all of us crazy. 338 00:18:40,600 --> 00:18:43,159 Speaker 3: You know, those things should not be dismissed. 339 00:18:43,560 --> 00:18:43,720 Speaker 4: It. 340 00:18:44,400 --> 00:18:46,640 Speaker 1: You shouldn't get to come back from having. 341 00:18:46,920 --> 00:18:49,120 Speaker 3: Made fun of those people and go like, oh, yeah, 342 00:18:49,160 --> 00:18:52,160 Speaker 3: I guess, I guess we should have done better on that. 343 00:18:52,680 --> 00:18:56,360 Speaker 2: Right, So this Saliza also, he said as a journalist, 344 00:18:56,440 --> 00:18:58,520 Speaker 2: I should have pushed harder on the very real questions 345 00:18:58,560 --> 00:19:01,679 Speaker 2: about Joe Biden's physical until health as president. But of 346 00:19:01,720 --> 00:19:06,520 Speaker 2: course in August twenty twenty one, he said that questioning 347 00:19:06,600 --> 00:19:10,320 Speaker 2: Biden's mental capacity is this is the sort of gross, 348 00:19:10,480 --> 00:19:14,479 Speaker 2: lowest common denominator politics that drive people away from public life. 349 00:19:14,640 --> 00:19:17,439 Speaker 2: If Republicans have some sort of proof that Biden is declining, 350 00:19:17,480 --> 00:19:19,720 Speaker 2: they should bring it forward. If they don't, they shouldn't 351 00:19:19,720 --> 00:19:26,440 Speaker 2: stop doing what they're doing immediately immediately, Mary Catherine, I mean, yeah. 352 00:19:26,520 --> 00:19:28,520 Speaker 3: This is the problem with the left of center press 353 00:19:28,680 --> 00:19:32,359 Speaker 3: is that the standard of proof for someone to be 354 00:19:32,440 --> 00:19:36,000 Speaker 3: accused of something who is on their team is so 355 00:19:36,160 --> 00:19:38,800 Speaker 3: incredibly high. Like to this day, they're like, oh, I 356 00:19:38,800 --> 00:19:40,840 Speaker 3: don't know if you can draw a line between Hunter 357 00:19:40,920 --> 00:19:46,200 Speaker 3: Biden's enrichment and Joe Biden. It's like, yeah, you really can't, guys. 358 00:19:46,440 --> 00:19:48,240 Speaker 1: It's quite obvious what's happening here. 359 00:19:49,040 --> 00:19:52,560 Speaker 3: And we have evidence in addition to just the stuff 360 00:19:52,560 --> 00:19:55,439 Speaker 3: you can see with your eyes. But the standard that 361 00:19:55,440 --> 00:19:58,359 Speaker 3: they use for their side is so high, unlike the 362 00:19:58,400 --> 00:20:02,480 Speaker 3: non existent standard that they used for Trump during Russia Gate, right, 363 00:20:02,560 --> 00:20:04,280 Speaker 3: or just like we'll just keep saying he's a Russian 364 00:20:04,280 --> 00:20:06,560 Speaker 3: asset and I think that will work, right, that counts 365 00:20:06,640 --> 00:20:07,159 Speaker 3: as news. 366 00:20:07,920 --> 00:20:11,880 Speaker 2: I love mentioning Also that you know, Saliza's from CNN 367 00:20:12,119 --> 00:20:16,000 Speaker 2: and CNN during the Trump presidency brought on a very 368 00:20:16,040 --> 00:20:20,120 Speaker 2: serious voice to discuss Donald Trump's mental health and that 369 00:20:20,440 --> 00:20:25,840 Speaker 2: person is Robert de Niro. So yeah, they had Robert 370 00:20:25,840 --> 00:20:29,440 Speaker 2: DeNiro on to discuss Trump's mental decline, and so that 371 00:20:29,520 --> 00:20:33,440 Speaker 2: was their standard for Trump. But of course for Republicans 372 00:20:33,480 --> 00:20:37,080 Speaker 2: to comment on Joe Biden, they needed, you know, some 373 00:20:37,200 --> 00:20:40,320 Speaker 2: kind of cold, hard evidence other than the recording that 374 00:20:40,359 --> 00:20:41,840 Speaker 2: we were doing with our own eyes. 375 00:20:41,640 --> 00:20:45,760 Speaker 1: And ears covering themselves in glory as usual. 376 00:20:46,160 --> 00:20:48,040 Speaker 2: We're going to take a short break and come right 377 00:20:48,080 --> 00:20:49,000 Speaker 2: back with normally. 378 00:20:52,720 --> 00:20:55,040 Speaker 3: You know, I wanted to bring this to your attention, Carol, 379 00:20:55,080 --> 00:20:58,639 Speaker 3: because I knew you'd appreciate the recurrence of this character 380 00:20:58,800 --> 00:21:03,919 Speaker 3: from COVID. Doctor Leanna Wynn is back on TV. She 381 00:21:04,119 --> 00:21:06,520 Speaker 3: was also on Face the Nation. We're picking on Face 382 00:21:06,600 --> 00:21:10,160 Speaker 3: the Nation today and here she is talking about bird flu. 383 00:21:10,520 --> 00:21:15,760 Speaker 5: Is this report out of Louisiana worrisome and if so, why, Well, 384 00:21:15,800 --> 00:21:18,680 Speaker 5: it's one more sign that the drumbeat of bird flu 385 00:21:18,800 --> 00:21:22,520 Speaker 5: coming closer to humans is becoming a major threat. So 386 00:21:22,560 --> 00:21:24,280 Speaker 5: we've already seen this year that there have been a 387 00:21:24,359 --> 00:21:27,520 Speaker 5: number of mammalian species close to humans that now have 388 00:21:27,600 --> 00:21:30,800 Speaker 5: bird flu outbreaks. We have outbreaks and poultry in all 389 00:21:30,840 --> 00:21:34,840 Speaker 5: fifty states, sixteen states have outbreaks, and cattle in California. 390 00:21:34,880 --> 00:21:36,800 Speaker 5: In the last thirty days there have been more than 391 00:21:36,840 --> 00:21:39,959 Speaker 5: three hundred herds that tested positive. And now we have 392 00:21:40,000 --> 00:21:43,919 Speaker 5: sixty six cases of bird flu in humans. And this 393 00:21:44,040 --> 00:21:47,359 Speaker 5: is almost certainly a significant undercount because we have not 394 00:21:47,440 --> 00:21:49,760 Speaker 5: been doing nearly enough testing, so we really don't know 395 00:21:50,240 --> 00:21:52,800 Speaker 5: the extent of bird flu that's out there in humans. 396 00:21:53,119 --> 00:21:55,520 Speaker 5: But this particular case, it's someone who is severely ill. 397 00:21:55,840 --> 00:21:59,600 Speaker 5: But not only that, researchers have isolated the virus in 398 00:21:59,640 --> 00:22:02,720 Speaker 5: this individual who is sick in Louisiana and they found 399 00:22:02,760 --> 00:22:05,600 Speaker 5: that this particular strain of the virus appears to have 400 00:22:05,640 --> 00:22:08,840 Speaker 5: acquiring mutations that make it more likely to bind to 401 00:22:08,960 --> 00:22:09,919 Speaker 5: airway receptors. 402 00:22:11,920 --> 00:22:13,800 Speaker 1: Can you hear my eyes rolling, Carol? 403 00:22:15,240 --> 00:22:17,439 Speaker 2: I think everybody can hear your eyes rolling. 404 00:22:18,920 --> 00:22:21,840 Speaker 3: I mean, just the This is the problem that we've 405 00:22:21,880 --> 00:22:25,280 Speaker 3: talked about before our segment of Still Mad About It, 406 00:22:25,280 --> 00:22:34,359 Speaker 3: bro is. This is a person who repeatedly inflamed the arguments, 407 00:22:35,840 --> 00:22:40,480 Speaker 3: seated panic, tried to make things as dramatic as possible, 408 00:22:40,560 --> 00:22:45,320 Speaker 3: got things horribly wrong throughout COVID. She later came around 409 00:22:45,760 --> 00:22:50,120 Speaker 3: and switched her messaging as the tides required of her. 410 00:22:50,560 --> 00:22:52,639 Speaker 1: But she did really, really bad work. 411 00:22:53,600 --> 00:22:58,240 Speaker 3: And now she's just back on the set saying, oh, 412 00:22:58,640 --> 00:23:02,359 Speaker 3: same place, run on my running to me again. 413 00:23:02,640 --> 00:23:03,000 Speaker 2: Yeah. 414 00:23:03,800 --> 00:23:04,040 Speaker 5: Yeah. 415 00:23:04,040 --> 00:23:07,399 Speaker 2: She made a lot of mistakes. She at one point 416 00:23:07,480 --> 00:23:12,040 Speaker 2: predicted a surge that didn't happen. Then she suggested that 417 00:23:12,240 --> 00:23:15,480 Speaker 2: Americans only get their freedoms back when they get vaccinated, 418 00:23:16,000 --> 00:23:19,720 Speaker 2: even after we knew the vaccination didn't stop spread. She 419 00:23:20,320 --> 00:23:23,120 Speaker 2: in July of twenty twenty one, going into the next 420 00:23:23,160 --> 00:23:24,879 Speaker 2: school year, I always like to point out that it 421 00:23:24,960 --> 00:23:26,960 Speaker 2: was two school years that they tried to shut down, 422 00:23:27,040 --> 00:23:30,359 Speaker 2: not just the not just the spring one. That to 423 00:23:30,560 --> 00:23:33,440 Speaker 2: really three school years, not just the spring one, not 424 00:23:33,520 --> 00:23:35,919 Speaker 2: just twenty twenty to twenty twenty one. A lot of 425 00:23:35,920 --> 00:23:38,159 Speaker 2: people tried to shut down the school year following that. 426 00:23:38,240 --> 00:23:40,720 Speaker 2: Twenty one to twenty two, she said she was very 427 00:23:40,760 --> 00:23:44,280 Speaker 2: happy that CDC was going to force indoor masking on kids, 428 00:23:44,760 --> 00:23:48,720 Speaker 2: and then in twenty twenty two she comes out and says, 429 00:23:49,440 --> 00:23:52,000 Speaker 2: you know there are trade offs. Masking has harmed our 430 00:23:52,080 --> 00:23:57,320 Speaker 2: son's language development. Also, it limited kids' social interactions and 431 00:23:58,440 --> 00:24:00,400 Speaker 2: people like me and you might have said it time 432 00:24:00,440 --> 00:24:02,600 Speaker 2: and I'm sorry. We don't curse very often on here, 433 00:24:02,640 --> 00:24:06,280 Speaker 2: but no, shit, like, really, it did these terrible things 434 00:24:06,280 --> 00:24:08,639 Speaker 2: to your kids. It did these terrible things to all kids. 435 00:24:08,960 --> 00:24:14,240 Speaker 2: So I am just baffled how these TV stations keep 436 00:24:14,240 --> 00:24:17,080 Speaker 2: bringing her and other people like her on. It's I 437 00:24:17,119 --> 00:24:20,879 Speaker 2: get it, they're politically aligned. She was just so wrong 438 00:24:20,920 --> 00:24:24,360 Speaker 2: about so much, like aren't they embarrassed? Aren't they embarrassed 439 00:24:24,520 --> 00:24:26,359 Speaker 2: to have her on? But they're clearly not. 440 00:24:27,080 --> 00:24:30,119 Speaker 3: They're clearly not. And that to me was my breaking 441 00:24:30,200 --> 00:24:31,440 Speaker 3: point with her. I mean, she got a lot of 442 00:24:31,480 --> 00:24:34,720 Speaker 3: stuff wrong, but the telling everyone that we needed to 443 00:24:35,400 --> 00:24:39,480 Speaker 3: either in ninety five, every child for the twenty twenty 444 00:24:39,480 --> 00:24:43,480 Speaker 3: one school year or nothing was insane. 445 00:24:44,080 --> 00:24:44,440 Speaker 5: I believe. 446 00:24:44,480 --> 00:24:46,120 Speaker 3: She and I actually gotten a back and forth about 447 00:24:46,119 --> 00:24:49,119 Speaker 3: it on Twitter. I was like, so, you're saying in 448 00:24:49,200 --> 00:24:53,840 Speaker 3: ninety five masks like tested and sealed and specific to 449 00:24:53,920 --> 00:24:57,000 Speaker 3: a child's face to go to school in twenty twenty 450 00:24:57,000 --> 00:25:01,359 Speaker 3: one is what you're saying. It's just that was irresponsible. 451 00:25:01,760 --> 00:25:04,840 Speaker 3: This all sounds very similar, like, oh, we don't even 452 00:25:04,880 --> 00:25:08,439 Speaker 3: know how many cases there are in people because we 453 00:25:08,480 --> 00:25:14,359 Speaker 3: haven't tested enough. You know, I just nope, I pass. 454 00:25:14,560 --> 00:25:16,440 Speaker 3: I pass on you guys who did this last time. 455 00:25:16,480 --> 00:25:19,160 Speaker 3: You can give me other experts who have shown themselves 456 00:25:19,160 --> 00:25:23,280 Speaker 3: to me self critical and write sometimes. 457 00:25:23,280 --> 00:25:23,800 Speaker 1: That'd be great. 458 00:25:24,400 --> 00:25:27,720 Speaker 2: Right, Let's get some Jay Bedicharia on to CNN to 459 00:25:27,760 --> 00:25:30,280 Speaker 2: tell us what's really going on, because he was right 460 00:25:30,320 --> 00:25:32,800 Speaker 2: the first time, and I would be open to hearing 461 00:25:32,800 --> 00:25:33,240 Speaker 2: from him. 462 00:25:33,920 --> 00:25:35,280 Speaker 1: Yes, there we go. 463 00:25:35,400 --> 00:25:41,199 Speaker 2: Well, yeah, I think right exactly. Well, thank you for 464 00:25:41,280 --> 00:25:44,479 Speaker 2: joining us on Normally normally airs Tuesdays and Thursdays, and 465 00:25:44,520 --> 00:25:47,679 Speaker 2: you can subscribe anywhere you get your podcasts. Get in 466 00:25:47,720 --> 00:25:50,560 Speaker 2: touch with us at normally theepod at gmail dot com. 467 00:25:50,600 --> 00:25:53,880 Speaker 2: Thanks for listening, and when things get weird, act normally