1 00:00:05,000 --> 00:00:07,440 Speaker 1: Hey guys, we are back on normally the show with 2 00:00:07,520 --> 00:00:10,520 Speaker 1: normalist takes for when the news gets weird. I am 3 00:00:11,200 --> 00:00:18,119 Speaker 1: host Lauren Bacall, Kathleen Turner or sick Mary Katherine Ham with. 4 00:00:17,960 --> 00:00:20,560 Speaker 2: Me as always is, I'm Carol Markowitz. You do sound 5 00:00:20,680 --> 00:00:23,639 Speaker 2: very sexy, Mary Katine. I feel like the audience is 6 00:00:23,680 --> 00:00:27,040 Speaker 2: going to enjoy this episode the perks of being sick 7 00:00:27,120 --> 00:00:30,720 Speaker 2: for a few days until it's gone entirely, well, max 8 00:00:30,760 --> 00:00:35,239 Speaker 2: it out while you can, will so here we are 9 00:00:35,440 --> 00:00:40,559 Speaker 2: on Monday. This episode airzon Tuesday, and it was a 10 00:00:40,600 --> 00:00:43,360 Speaker 2: bit of an exciting weekend. Did you watch the Army 11 00:00:43,440 --> 00:00:43,920 Speaker 2: Navy game? 12 00:00:44,760 --> 00:00:47,800 Speaker 3: I was at the Army Navy tailgate and I took 13 00:00:47,840 --> 00:00:50,479 Speaker 3: the two oldest girls to the Travis Mannon Foundation tailgate, 14 00:00:50,520 --> 00:00:53,400 Speaker 3: which is the premiere and I don't think that's a 15 00:00:53,440 --> 00:00:58,000 Speaker 3: disputed statement. Premiere tailgate at the Army Navy game, Fantastic Music, 16 00:00:58,120 --> 00:01:01,600 Speaker 3: Food Drinks. Took the two big girls and decided not 17 00:01:01,680 --> 00:01:04,839 Speaker 3: to do the full game experience with the tailgate because 18 00:01:04,840 --> 00:01:06,760 Speaker 3: we had the kids right tailgate. 19 00:01:07,040 --> 00:01:10,200 Speaker 2: Raw Ra came home to watch the game amazing. It 20 00:01:10,240 --> 00:01:13,959 Speaker 2: looked really cool on TV. Lots of people there and 21 00:01:14,440 --> 00:01:16,440 Speaker 2: Trump had tons of people with him. I mean we 22 00:01:16,480 --> 00:01:19,080 Speaker 2: talked about this in advance of it, but Daniel Penny 23 00:01:19,280 --> 00:01:20,080 Speaker 2: was with JD. 24 00:01:20,200 --> 00:01:20,520 Speaker 3: Vans. 25 00:01:20,560 --> 00:01:23,880 Speaker 2: That was amazing. Yeah, it was really cool. I will 26 00:01:23,920 --> 00:01:26,880 Speaker 2: definitely have to at least go to a tailgate someday 27 00:01:26,880 --> 00:01:28,720 Speaker 2: because that looks like a really fun experience. 28 00:01:28,800 --> 00:01:32,520 Speaker 3: Well, you should come along to ours, and if you do, everyone, 29 00:01:32,640 --> 00:01:34,160 Speaker 3: if you ever get a chance to go to an 30 00:01:34,240 --> 00:01:38,600 Speaker 3: Army Navy game, it's really moving and fun and there's 31 00:01:38,680 --> 00:01:41,480 Speaker 3: just so many people on Literally every person on the 32 00:01:41,480 --> 00:01:43,360 Speaker 3: field would give their life for you. I mean that 33 00:01:43,480 --> 00:01:45,360 Speaker 3: is that an incredible moment. 34 00:01:45,680 --> 00:01:48,040 Speaker 2: And they know how to play football, handing out what 35 00:01:48,080 --> 00:01:48,960 Speaker 2: a combo. 36 00:01:49,440 --> 00:01:52,760 Speaker 3: And so being there is just very special and it 37 00:01:52,800 --> 00:01:56,280 Speaker 3: makes I didn't realize this stat but Trump has gone 38 00:01:56,280 --> 00:01:58,960 Speaker 3: to five apparently, and Biden went to zero during his 39 00:02:00,480 --> 00:02:03,640 Speaker 3: Which if you can have a great seat at the 40 00:02:03,760 --> 00:02:08,520 Speaker 3: Army Navy game, which president you would get, why would 41 00:02:08,520 --> 00:02:09,920 Speaker 3: you not go? It's amazing. 42 00:02:10,800 --> 00:02:13,240 Speaker 2: Mary Catherine's like, I'm thinking about running for president just 43 00:02:13,240 --> 00:02:13,720 Speaker 2: for that part. 44 00:02:13,840 --> 00:02:16,120 Speaker 3: That would be I'd really rather be veep. I just 45 00:02:16,160 --> 00:02:19,640 Speaker 3: want to shake hands and give speeches. That's my gig. 46 00:02:20,120 --> 00:02:20,800 Speaker 2: I'd vote for you. 47 00:02:21,120 --> 00:02:22,880 Speaker 3: I'll go to fundraisers. I don't want to do the 48 00:02:22,919 --> 00:02:24,040 Speaker 3: hard stuff, guys. 49 00:02:24,800 --> 00:02:29,280 Speaker 2: Kamala Harris, that's that's going to be me. Well, the 50 00:02:29,360 --> 00:02:33,120 Speaker 2: media has been having another normal one. I think we 51 00:02:33,160 --> 00:02:35,520 Speaker 2: could do a segment on this basically every show, but 52 00:02:35,560 --> 00:02:38,359 Speaker 2: we won't. We won't. 53 00:02:38,600 --> 00:02:39,400 Speaker 3: What's the latest? 54 00:02:39,480 --> 00:02:41,800 Speaker 2: What's uh have? What do we have today? 55 00:02:42,240 --> 00:02:47,440 Speaker 3: Well? ABC owned by Disney. By the way, Disney taken 56 00:02:47,440 --> 00:02:50,840 Speaker 3: els from Ronda Santis and now from Donald Trump. They 57 00:02:50,880 --> 00:02:54,320 Speaker 3: have all the l all the l's settled a defamation 58 00:02:54,800 --> 00:02:59,400 Speaker 3: suit with Trump for fifteen million dollars. This is ABC 59 00:02:59,480 --> 00:03:03,680 Speaker 3: News and Stallnopolis, George Deffanopolis, former Clinton war room guy 60 00:03:04,280 --> 00:03:09,280 Speaker 3: turned very unbiased news anchor, and that fifteen million will 61 00:03:09,280 --> 00:03:12,880 Speaker 3: go to the future Presidential Foundation and Museum of Donald J. 62 00:03:12,960 --> 00:03:16,720 Speaker 3: Trump So Good, which is almost better than just cash 63 00:03:16,840 --> 00:03:21,200 Speaker 3: to Trump. I love the idea of like the totally 64 00:03:21,280 --> 00:03:25,120 Speaker 3: owning George Stefanopolis IMAX three sixty theater as the Donald J. 65 00:03:25,200 --> 00:03:32,800 Speaker 3: Trump So Good. This came about because of an interview 66 00:03:33,200 --> 00:03:37,360 Speaker 3: that Stephanopolis did with Representative Nancy Mace of South Carolina 67 00:03:37,440 --> 00:03:41,480 Speaker 3: in March, which the interview itself, before you even get 68 00:03:41,480 --> 00:03:45,480 Speaker 3: to the defamation, is pretty awful. Let's say, let's play 69 00:03:45,520 --> 00:03:49,520 Speaker 3: a little clip of that Stephanopolis and Mace and he's 70 00:03:49,600 --> 00:03:52,880 Speaker 3: referencing the Gene Carrol verdict in the civil trial in 71 00:03:52,920 --> 00:03:55,840 Speaker 3: New York City against Trump. I still getting judged for 72 00:03:55,880 --> 00:03:56,280 Speaker 3: it today. 73 00:03:56,400 --> 00:03:57,960 Speaker 2: Asking you a very simple question, and. 74 00:03:57,920 --> 00:04:00,720 Speaker 3: I answered you for my litical choice. 75 00:04:00,760 --> 00:04:03,480 Speaker 4: Ask me a question about why you endorse someone who's 76 00:04:03,480 --> 00:04:04,760 Speaker 4: been found liable for rape. 77 00:04:05,040 --> 00:04:07,960 Speaker 1: It was not an extreminal court, this was this was 78 00:04:08,000 --> 00:04:09,680 Speaker 1: a civil It was a civil wards. 79 00:04:09,720 --> 00:04:12,200 Speaker 2: By the way she joked about the judgment and what 80 00:04:12,320 --> 00:04:13,800 Speaker 2: she was going to do with all that money, I 81 00:04:13,880 --> 00:04:17,880 Speaker 2: find that offensive asking you. But as a rape victim who's. 82 00:04:17,640 --> 00:04:20,000 Speaker 1: Been shamed for years now because of her rape, you're 83 00:04:20,000 --> 00:04:22,720 Speaker 1: trying to shame me again by asking you. 84 00:04:22,720 --> 00:04:25,719 Speaker 3: You repeated that again. I think it's offensive. As a woman, 85 00:04:25,880 --> 00:04:28,960 Speaker 3: I find her I find it offensive my political choices. 86 00:04:29,000 --> 00:04:29,960 Speaker 2: I've endorse the man. 87 00:04:29,839 --> 00:04:31,920 Speaker 3: That I believe is best for our country. 88 00:04:31,960 --> 00:04:32,880 Speaker 2: It's not Joe Biden. 89 00:04:34,320 --> 00:04:38,520 Speaker 3: Okay. So the problem for Stephanopoulos here is that in 90 00:04:38,560 --> 00:04:41,640 Speaker 3: this civil case, which she's right to distinguish as he's 91 00:04:41,680 --> 00:04:46,440 Speaker 3: not doing uh, he was not found liable for rape. 92 00:04:46,680 --> 00:04:49,800 Speaker 3: And even the New York Times must confess in that case, 93 00:04:49,839 --> 00:04:52,520 Speaker 3: a federal jury found mister Trump liable for sexually abusing 94 00:04:52,520 --> 00:04:55,000 Speaker 3: and defaming the writer Egen Carroll, but it did not 95 00:04:55,040 --> 00:04:58,839 Speaker 3: find him liable for rape. And so you get in 96 00:04:58,960 --> 00:05:03,400 Speaker 3: trouble if you're calling people rapists on TV as an 97 00:05:03,440 --> 00:05:07,640 Speaker 3: anchor when that's demonstrably not true and you can find 98 00:05:07,640 --> 00:05:09,280 Speaker 3: that information easily. That's right. 99 00:05:09,440 --> 00:05:11,320 Speaker 2: And you know, the funny thing is that so many 100 00:05:11,360 --> 00:05:14,880 Speaker 2: people on the left have a problem with this judgment 101 00:05:15,480 --> 00:05:19,080 Speaker 2: and they not judgment settlement. There's a settlements. That's what 102 00:05:19,080 --> 00:05:22,400 Speaker 2: they have a problem with that. How could ABC settle 103 00:05:22,480 --> 00:05:24,400 Speaker 2: with this guy that they hate so much and that 104 00:05:24,440 --> 00:05:28,560 Speaker 2: they can't handle their hatred. Eric Degans, he's a media 105 00:05:28,600 --> 00:05:32,560 Speaker 2: analyst at NPR. He tweeted that the defamation settlement quote 106 00:05:32,880 --> 00:05:37,240 Speaker 2: feels like one more mainstream news organization bending the knee. Well, 107 00:05:37,360 --> 00:05:40,560 Speaker 2: go out there, mister, actually it's Deggens, d egg and 108 00:05:40,800 --> 00:05:43,640 Speaker 2: ask mister Deggans, go out there and make the same 109 00:05:43,720 --> 00:05:48,039 Speaker 2: claim that Stephanoppolis makes you take your stand. You show 110 00:05:48,080 --> 00:05:50,520 Speaker 2: them how standing your ground looks like. 111 00:05:51,360 --> 00:05:54,760 Speaker 3: Well, and some of the argument, Look, I'm willing to 112 00:05:54,839 --> 00:05:58,200 Speaker 3: listen to an argument about chilling speech, like okay, if 113 00:05:58,200 --> 00:05:59,800 Speaker 3: they're going to come after me. Obviously, Trump has a 114 00:05:59,800 --> 00:06:02,240 Speaker 3: lot of resources to go after people. He doesn't usually win, 115 00:06:02,360 --> 00:06:04,600 Speaker 3: by the way, because the standard for defamation is very, 116 00:06:04,480 --> 00:06:08,080 Speaker 3: very very high, particularly if you're a public figure. In 117 00:06:08,120 --> 00:06:11,040 Speaker 3: this case, it looks like they had the goods. It 118 00:06:11,080 --> 00:06:15,360 Speaker 3: looks like Stephanopolis didn't want to be deposed. That was 119 00:06:15,400 --> 00:06:17,640 Speaker 3: the thing that was about to happen, is that Trump 120 00:06:17,720 --> 00:06:20,080 Speaker 3: and Stephanopples were both of the deposed. I think a 121 00:06:20,160 --> 00:06:22,760 Speaker 3: lot of media companies don't have the financial resource that 122 00:06:23,279 --> 00:06:28,719 Speaker 3: they used to fight such things, and like they just 123 00:06:29,040 --> 00:06:32,080 Speaker 3: weren't ready for discovery. Maybe I don't think that would 124 00:06:32,080 --> 00:06:34,360 Speaker 3: go great, but so I'm willing to listen to a 125 00:06:34,440 --> 00:06:40,000 Speaker 3: chilling argument. However, the idea that it's hard to avoid 126 00:06:40,400 --> 00:06:44,720 Speaker 3: this level of lying on camera, right, I don't think 127 00:06:44,839 --> 00:06:49,120 Speaker 3: is that convincing because this seems like a willful misrepresentation 128 00:06:49,320 --> 00:06:50,080 Speaker 3: at every turn. 129 00:06:50,440 --> 00:06:54,960 Speaker 2: And he wanted people to think that what that that 130 00:06:55,040 --> 00:06:58,039 Speaker 2: settlement was about was about rape and it wasn't, so 131 00:06:58,400 --> 00:07:02,280 Speaker 2: it really was defaming Donald Trump. So I don't know. 132 00:07:02,560 --> 00:07:06,840 Speaker 2: I've also I've gotten so just in the place where 133 00:07:06,960 --> 00:07:09,680 Speaker 2: I think that the left needs to learn some very 134 00:07:09,880 --> 00:07:13,080 Speaker 2: valuable lessons, and this is among them. You can't just 135 00:07:13,160 --> 00:07:16,600 Speaker 2: say whenever you want because you really really hate this guy. 136 00:07:17,000 --> 00:07:20,040 Speaker 2: Your hatred has to be not part of the equation 137 00:07:20,160 --> 00:07:20,440 Speaker 2: at all. 138 00:07:21,240 --> 00:07:23,920 Speaker 3: This is from a law professor at the University of Utah, 139 00:07:24,000 --> 00:07:26,280 Speaker 3: Quota by New York Times. What we might be seeing 140 00:07:26,280 --> 00:07:29,559 Speaker 3: here is an attitudinal shift. Compared to the mainstream American 141 00:07:29,600 --> 00:07:31,600 Speaker 3: press of a decade ago, Today's press is far less 142 00:07:31,640 --> 00:07:37,240 Speaker 3: financially robust, far more politically threatened, and exponentially less confident 143 00:07:37,280 --> 00:07:40,440 Speaker 3: that a given jury will value press freedom rather than 144 00:07:40,480 --> 00:07:45,840 Speaker 3: embrace a vilification of it. There's a reason again, pipe shift. Again, 145 00:07:45,880 --> 00:07:49,480 Speaker 3: they get the order of operations wrong. People aren't vilifying 146 00:07:49,520 --> 00:07:54,040 Speaker 3: you or distrusting you because Trump doesn't like you. They 147 00:07:54,080 --> 00:07:56,800 Speaker 3: don't trust you, and Trump just happens to be pointing 148 00:07:56,800 --> 00:07:57,760 Speaker 3: out the reasons. 149 00:07:58,280 --> 00:08:04,240 Speaker 2: Yeah, right, that's it. They have seen behind the curtain 150 00:08:04,560 --> 00:08:07,360 Speaker 2: and they know what's going on. I think that's what 151 00:08:07,400 --> 00:08:10,880 Speaker 2: it is. That these people have decided that the media 152 00:08:10,960 --> 00:08:14,120 Speaker 2: is not trustworthy because the media has broken their trust, 153 00:08:14,280 --> 00:08:17,000 Speaker 2: and not because they woke up one day and was like, hey, 154 00:08:17,000 --> 00:08:19,840 Speaker 2: that Donald Trump is right. That Donald Trump is right, 155 00:08:19,840 --> 00:08:21,320 Speaker 2: because he's right period. 156 00:08:21,760 --> 00:08:27,600 Speaker 3: Well, and by the way a person from academia expounding 157 00:08:27,640 --> 00:08:31,040 Speaker 3: on the First Amendment as only it pertains to press. 158 00:08:31,080 --> 00:08:33,920 Speaker 3: Freedom is very on brand, like the freedom for the 159 00:08:33,960 --> 00:08:37,120 Speaker 3: rest of us who are like properly credentialed New York 160 00:08:37,120 --> 00:08:40,240 Speaker 3: Times or ABC do we really don't need freedom, They 161 00:08:40,240 --> 00:08:44,040 Speaker 3: don't care about that so much. But the press specifically 162 00:08:44,559 --> 00:08:48,280 Speaker 3: right that they want to carve out our democracy. 163 00:08:48,320 --> 00:08:51,599 Speaker 2: That was the you know, our democracy. Not all democracy 164 00:08:52,400 --> 00:08:54,120 Speaker 2: will be right back on normally. 165 00:08:57,600 --> 00:09:00,280 Speaker 3: CNN's Clarissa Award has gotten caught in a bit of 166 00:09:00,320 --> 00:09:07,480 Speaker 3: a media pickle. She was reporting from Syria, and I 167 00:09:07,559 --> 00:09:10,200 Speaker 3: have to cop to having retweeted the first version I 168 00:09:10,240 --> 00:09:14,040 Speaker 3: saw of this without watching the video, so just I 169 00:09:14,080 --> 00:09:18,320 Speaker 3: am sorry, I because I thought, well, Clarissa Ward is 170 00:09:18,320 --> 00:09:20,720 Speaker 3: always on the ground in a war zone, so there's 171 00:09:20,760 --> 00:09:24,200 Speaker 3: interesting stuff coming from her in general. In this case, 172 00:09:25,000 --> 00:09:28,600 Speaker 3: they do sort of like a live expose going into 173 00:09:28,640 --> 00:09:36,040 Speaker 3: one of Asad's alleged torture prisons, and then they allege 174 00:09:36,160 --> 00:09:41,319 Speaker 3: as they're in there to find a prisoner who has 175 00:09:41,360 --> 00:09:44,960 Speaker 3: not yet been informed of ASD's fall, like under a 176 00:09:45,000 --> 00:09:49,720 Speaker 3: blanket or something. Is very dramatic and if it were real, 177 00:09:50,880 --> 00:09:53,880 Speaker 3: would be very interesting. But it turns out maybe that 178 00:09:53,920 --> 00:09:56,640 Speaker 3: guy is not what we thought he was. 179 00:09:57,000 --> 00:09:57,200 Speaker 4: Right. 180 00:09:57,320 --> 00:09:59,640 Speaker 2: Well, it turns out that the guy was one of 181 00:09:59,679 --> 00:10:04,800 Speaker 2: a side henchmen and that he was responsible for a 182 00:10:04,840 --> 00:10:09,080 Speaker 2: lot of torture and murder. Not such a great guy. 183 00:10:09,440 --> 00:10:12,480 Speaker 2: But I have to tell you that my first impression 184 00:10:12,559 --> 00:10:14,520 Speaker 2: of that video, and I watched the whole thing because 185 00:10:14,559 --> 00:10:17,120 Speaker 2: all these people on Twitter were sharing it like this 186 00:10:17,160 --> 00:10:19,040 Speaker 2: is a must watch, you have to see this, And 187 00:10:19,200 --> 00:10:21,160 Speaker 2: I watched it and I was like, this is a 188 00:10:21,160 --> 00:10:26,200 Speaker 2: bunch of bs. The guy like little things Like I 189 00:10:26,240 --> 00:10:29,559 Speaker 2: grew up in New York. As you know, I've seen say, 190 00:10:29,720 --> 00:10:34,320 Speaker 2: people living rough or people who haven't showered in This 191 00:10:34,360 --> 00:10:37,880 Speaker 2: guy had apparently been in prison for three months. It 192 00:10:37,920 --> 00:10:40,480 Speaker 2: had been days since the Sad fell, so he hadn't 193 00:10:40,480 --> 00:10:44,080 Speaker 2: eaten allegedly or drank or any of that. His fingernails 194 00:10:44,120 --> 00:10:49,200 Speaker 2: were clean, his face was clean, he took a bite 195 00:10:49,240 --> 00:10:52,640 Speaker 2: of the food, He didn't squint when he walked outside 196 00:10:52,679 --> 00:10:55,480 Speaker 2: into the light. It was just a lot of In 197 00:10:55,559 --> 00:10:58,280 Speaker 2: poker terms, I refer to it as I call like 198 00:10:58,320 --> 00:11:00,360 Speaker 2: I call I want to see you know, to see 199 00:11:00,360 --> 00:11:04,520 Speaker 2: your hand here. And it seemed like an obvious setup. 200 00:11:04,520 --> 00:11:06,320 Speaker 2: Now I don't know I think it was Clarissa in 201 00:11:06,400 --> 00:11:08,360 Speaker 2: on the setup. I don't know. I also had no 202 00:11:08,679 --> 00:11:11,760 Speaker 2: real previous experience with her, good or bad, Like I 203 00:11:11,800 --> 00:11:13,480 Speaker 2: didn't really know. I mean, I've seen her, but I 204 00:11:13,480 --> 00:11:15,560 Speaker 2: didn't really know who she was, a lot of people 205 00:11:15,600 --> 00:11:19,200 Speaker 2: are saying she's done similar kind of sketches before, but 206 00:11:19,400 --> 00:11:20,880 Speaker 2: a lot of people have a lot of respect for 207 00:11:20,920 --> 00:11:24,520 Speaker 2: her and are saying that she was taken as well. 208 00:11:25,040 --> 00:11:28,920 Speaker 2: But maybe like have a little you know, credulity, right, 209 00:11:29,000 --> 00:11:30,920 Speaker 2: is that the word credulity for this kind of thing. 210 00:11:31,000 --> 00:11:33,880 Speaker 2: If if you're in the moment and you have found 211 00:11:33,880 --> 00:11:37,040 Speaker 2: this guy under your blanket, maybe investigate that before it 212 00:11:37,120 --> 00:11:41,400 Speaker 2: hits the air. I don't know, particularly in a very stage. 213 00:11:41,160 --> 00:11:45,320 Speaker 3: Particularly in a fog of war situation. Right, seeing and 214 00:11:45,400 --> 00:11:49,320 Speaker 3: acknowledged the allegations and the sort of investigations that people 215 00:11:49,360 --> 00:11:51,959 Speaker 3: have been freelancing about this guy, saying we have subsequently 216 00:11:52,040 --> 00:11:54,760 Speaker 3: been investigating his background and are aware that he may 217 00:11:54,760 --> 00:11:57,680 Speaker 3: have given a false identity. We're continuing our reporting into 218 00:11:57,679 --> 00:12:00,480 Speaker 3: this and the wider story. And like you said, like 219 00:12:00,760 --> 00:12:02,520 Speaker 3: I think some of this goes. 220 00:12:02,280 --> 00:12:07,280 Speaker 4: Back to the financial resources of these organizations, not that 221 00:12:07,280 --> 00:12:09,000 Speaker 4: they can't do the fact checking. You could do that, 222 00:12:10,080 --> 00:12:12,960 Speaker 4: but that they need a viral moment, right, and so 223 00:12:13,080 --> 00:12:14,920 Speaker 4: going to air with things. 224 00:12:14,640 --> 00:12:19,240 Speaker 3: That are not checked but are sensational. They're hoping to 225 00:12:20,480 --> 00:12:22,120 Speaker 3: get the clicks exactly. 226 00:12:22,559 --> 00:12:26,760 Speaker 2: Yeah. Brian Stelter tweeted yesterday the top story on the 227 00:12:26,760 --> 00:12:30,120 Speaker 2: New York Times homepage this afternoon quote Trump and his 228 00:12:30,240 --> 00:12:34,920 Speaker 2: picks threaten more lawsuits over critical coverage, which, yeah, why 229 00:12:34,960 --> 00:12:38,280 Speaker 2: wouldn't they Why wouldn't they threaten more lawsuits over coverage? 230 00:12:38,320 --> 00:12:41,079 Speaker 2: That's a straight out lie. I don't know what these 231 00:12:41,120 --> 00:12:44,800 Speaker 2: people are expecting. He quotes from that piece, the small 232 00:12:44,840 --> 00:12:47,880 Speaker 2: flurry of threatened defamation lawsits is the latest sign that 233 00:12:47,920 --> 00:12:51,160 Speaker 2: the incoming Trump administration appears poised to do what it can. 234 00:12:51,440 --> 00:12:55,199 Speaker 2: Crack down on unfavorable media coverage. No, that's not it. 235 00:12:55,320 --> 00:13:00,000 Speaker 2: Not unfavorable media coverage, full onlining media coverage. And I 236 00:13:00,080 --> 00:13:01,680 Speaker 2: you know, I root for Trump in this case, I 237 00:13:01,679 --> 00:13:02,040 Speaker 2: really do. 238 00:13:03,040 --> 00:13:03,240 Speaker 1: Yeah. 239 00:13:03,280 --> 00:13:04,680 Speaker 3: If you're going to lie, you're going to have to 240 00:13:04,679 --> 00:13:06,680 Speaker 3: pay for it sometimes, Speaking of which, I did not 241 00:13:07,880 --> 00:13:12,040 Speaker 3: mention during the Stephanopolis segment that they were required to 242 00:13:12,080 --> 00:13:15,920 Speaker 3: give an apology to Trump as part of this settlement. 243 00:13:15,960 --> 00:13:18,240 Speaker 3: I just want to read the editor's note, which is 244 00:13:18,240 --> 00:13:22,480 Speaker 3: the poorest excuse for an apology. ABC News and George 245 00:13:22,480 --> 00:13:25,959 Speaker 3: Stephanopoulos regret statements regarding President Donald J. Trump made during 246 00:13:26,000 --> 00:13:29,240 Speaker 3: an interview by George Stefanopolis was representative Nancy Mason ABC's 247 00:13:29,280 --> 00:13:32,640 Speaker 3: This Week on March tenth, twenty twenty four. That kind 248 00:13:32,720 --> 00:13:37,840 Speaker 3: of accountability, robust accountability, is not going to earn back 249 00:13:37,880 --> 00:13:39,040 Speaker 3: the price they have lost. 250 00:13:39,480 --> 00:13:41,000 Speaker 2: I was waiting for the rest of that, and then 251 00:13:41,040 --> 00:13:41,559 Speaker 2: you're DUTs. 252 00:13:42,040 --> 00:13:44,840 Speaker 3: That's the editor's note. And I have looked around and 253 00:13:44,920 --> 00:13:50,040 Speaker 3: to my knowledge, that's the statement. And he Stephanopolis hosted 254 00:13:50,080 --> 00:13:53,559 Speaker 3: his weekly news show and said nothing about it. 255 00:13:53,800 --> 00:13:55,440 Speaker 2: Yeah, that doesn't seem like quite enough. 256 00:13:55,480 --> 00:13:58,880 Speaker 3: Really, if I gave that apology to my husband, what's 257 00:13:58,960 --> 00:13:59,480 Speaker 3: that work? 258 00:14:00,360 --> 00:14:01,600 Speaker 2: Try? I we're back. 259 00:14:01,960 --> 00:14:08,480 Speaker 3: I regret statements that I made. Alrighty up. Next, we 260 00:14:08,559 --> 00:14:13,880 Speaker 3: have Biden's ongoing terrible pardon parade, right. 261 00:14:14,000 --> 00:14:16,960 Speaker 2: Trying to make that the Hunter one look not quite 262 00:14:17,000 --> 00:14:17,520 Speaker 2: so bad. 263 00:14:18,800 --> 00:14:22,080 Speaker 3: I mean, look, a lot of bad characters get pardoned 264 00:14:22,080 --> 00:14:23,560 Speaker 3: at the end of every presidency. 265 00:14:23,920 --> 00:14:29,360 Speaker 2: That's the Whig thing, right. They're criminals, They're largely criminals, 266 00:14:29,400 --> 00:14:32,240 Speaker 2: and yes, they clearly have done something that has put 267 00:14:32,280 --> 00:14:34,280 Speaker 2: them in front of the president in a position to 268 00:14:34,360 --> 00:14:37,440 Speaker 2: be pardoned. So they're not going to be choir boys. 269 00:14:37,520 --> 00:14:39,960 Speaker 2: But no, and are worse than others. 270 00:14:40,320 --> 00:14:43,560 Speaker 3: Some are, And I do wish that we I understand 271 00:14:43,600 --> 00:14:47,480 Speaker 3: why they do this, and there's connected people, but there's 272 00:14:47,520 --> 00:14:51,840 Speaker 3: plenty of people who probably deserve clemency and pardons and 273 00:14:51,880 --> 00:14:57,880 Speaker 3: commutations who are like actually more sympathetic. And yet here 274 00:14:57,920 --> 00:15:02,880 Speaker 3: we are with the kids. The kids for cash kickback 275 00:15:02,920 --> 00:15:06,320 Speaker 3: scandal in Pennsylvania. This is the one you probably heard 276 00:15:06,360 --> 00:15:09,800 Speaker 3: about most. What is the story with him? 277 00:15:10,120 --> 00:15:14,320 Speaker 2: So it is Judge Michael Conahan, and his sentence was commuted. 278 00:15:15,520 --> 00:15:20,280 Speaker 2: He and another judge in Pennsylvania were convicted of This 279 00:15:20,320 --> 00:15:23,760 Speaker 2: is from Wikipedia, accepting money in return for imposing harsh 280 00:15:24,000 --> 00:15:28,360 Speaker 2: educations on juveniles to increase occupancy at a private prison. 281 00:15:29,120 --> 00:15:32,640 Speaker 2: That is one of the worst stories of all time. 282 00:15:32,880 --> 00:15:37,120 Speaker 2: And anybody who's ever heard that story that judges put 283 00:15:37,600 --> 00:15:42,600 Speaker 2: children in children's prisons because of like small offenses like 284 00:15:42,680 --> 00:15:46,120 Speaker 2: trespassing or you know, one of them is mocking an 285 00:15:46,160 --> 00:15:48,440 Speaker 2: assistant principle on my Space. I didn't even know that 286 00:15:48,520 --> 00:15:53,720 Speaker 2: was a crime. And so these kids got these insane 287 00:15:53,760 --> 00:15:58,520 Speaker 2: sentences and the judges got paid for it. That sounds 288 00:15:58,520 --> 00:16:01,920 Speaker 2: like a law and order story I might not even buy, Like, oh, 289 00:16:01,960 --> 00:16:04,680 Speaker 2: this sounds too far fetched, you know, ripped from the 290 00:16:04,680 --> 00:16:05,840 Speaker 2: headlines here we are. 291 00:16:06,080 --> 00:16:09,360 Speaker 3: Well, and just imagine how badly that can mess up 292 00:16:09,400 --> 00:16:12,080 Speaker 3: the trajectory of a young person's life. You get caught 293 00:16:12,120 --> 00:16:15,920 Speaker 3: up doing something stupid, you're not yet a career criminal. 294 00:16:16,920 --> 00:16:20,560 Speaker 3: You get thrown in jail for longer than you should 295 00:16:20,680 --> 00:16:24,040 Speaker 3: because some guy wants a couple hundred thou from the 296 00:16:24,080 --> 00:16:27,680 Speaker 3: for profit system, and then you're off and running to 297 00:16:27,720 --> 00:16:31,640 Speaker 3: who knows what after that, right exactly. So it's a 298 00:16:31,640 --> 00:16:34,800 Speaker 3: really tragic story. And it doesn't end there. It turns 299 00:16:34,840 --> 00:16:39,360 Speaker 3: out Biden has been contact by a lot of well 300 00:16:39,360 --> 00:16:43,320 Speaker 3: connected fraudsters. This is one of my least favorite ones. 301 00:16:43,760 --> 00:16:47,360 Speaker 3: Rita Crundwell, the former Dixon City comptroll or convicted of 302 00:16:47,440 --> 00:16:52,120 Speaker 3: embezzling fifty three point seven million from her city. It's pegged, 303 00:16:52,200 --> 00:16:55,600 Speaker 3: is the largest municipal threat theft in US history, and 304 00:16:55,720 --> 00:16:57,760 Speaker 3: is among one of roughly fifteen hundred people. She was 305 00:16:58,040 --> 00:17:03,000 Speaker 3: among the fifteen hundred people granted. And see this was 306 00:17:03,040 --> 00:17:07,040 Speaker 3: a like not a large town, and she's using funds 307 00:17:07,119 --> 00:17:11,320 Speaker 3: of taxpayers to buy Champion Quarter horses, a two million 308 00:17:11,359 --> 00:17:15,960 Speaker 3: dollar tour bus, jewels, and furs while the town was 309 00:17:16,040 --> 00:17:18,440 Speaker 3: unable to pay for infrastructure. 310 00:17:19,280 --> 00:17:23,480 Speaker 2: Yeah, I just wonder, like, why why her? Because somebody 311 00:17:23,560 --> 00:17:26,240 Speaker 2: close to her got into Biden's ear and was able 312 00:17:26,280 --> 00:17:29,159 Speaker 2: to make that happen. It's just it's it is depressing 313 00:17:29,240 --> 00:17:32,440 Speaker 2: that this process is used in this way. I wish 314 00:17:32,680 --> 00:17:36,199 Speaker 2: it wasn't. I'm you know, we talked, we talked sometimes 315 00:17:36,240 --> 00:17:39,440 Speaker 2: about things that were squishes on I probably am more 316 00:17:39,480 --> 00:17:42,560 Speaker 2: of a squish than most people on the criminal justice system. 317 00:17:42,680 --> 00:17:45,200 Speaker 2: I grew up in kind of a rough neighborhood in Brooklyn. 318 00:17:45,240 --> 00:17:47,040 Speaker 2: I've had a lot of people in my life who 319 00:17:47,040 --> 00:17:50,960 Speaker 2: have been involved with the criminal justice system. I think 320 00:17:51,040 --> 00:17:53,360 Speaker 2: that a lot of penalties are too harsh. I think 321 00:17:53,400 --> 00:17:56,040 Speaker 2: our bail laws were too harsh, then they went down 322 00:17:56,040 --> 00:17:57,920 Speaker 2: to zero, and now I think they're not harsh enough. 323 00:17:58,119 --> 00:17:59,880 Speaker 3: Like the pendulums wung a little too hard. 324 00:18:00,040 --> 00:18:01,840 Speaker 2: We're in the middle on that one, Like I don't 325 00:18:01,880 --> 00:18:05,200 Speaker 2: think I once wrote about a shoplifter getting a ten 326 00:18:05,240 --> 00:18:08,840 Speaker 2: thousand dollars bail. That's like ten million dollars a homeless shoplifter. 327 00:18:09,440 --> 00:18:11,359 Speaker 2: But you know, there's a happy medium on some of 328 00:18:11,400 --> 00:18:14,920 Speaker 2: this stuff. And I think that stories like this make 329 00:18:15,000 --> 00:18:19,000 Speaker 2: it harder to push through any kind of criminal justice 330 00:18:19,040 --> 00:18:23,800 Speaker 2: reform because it just makes people far less sympathetic with 331 00:18:24,320 --> 00:18:27,040 Speaker 2: people who they might be more sympathetic with because they 332 00:18:27,080 --> 00:18:30,240 Speaker 2: have these batcats getting out of prison even though they 333 00:18:30,280 --> 00:18:32,360 Speaker 2: committed these horrendous crimes. 334 00:18:32,440 --> 00:18:34,680 Speaker 3: Well, and he doesn't seem to be doing a ton 335 00:18:34,720 --> 00:18:38,800 Speaker 3: of pardons to out like to offset these. Yeah, so 336 00:18:39,000 --> 00:18:42,240 Speaker 3: among I'll just keep reading the list. Eric Bloom, who 337 00:18:42,240 --> 00:18:44,360 Speaker 3: Builket investors out of more than six hundred and sixty 338 00:18:44,400 --> 00:18:47,120 Speaker 3: five million dollars in the biggest financial fraud case ever 339 00:18:47,200 --> 00:18:49,520 Speaker 3: tried in Chicago. So many of these from Illinois. I'm 340 00:18:49,520 --> 00:18:53,959 Speaker 3: sure it's a coincidence. Out in Nevada, and this is Nevada, 341 00:18:54,040 --> 00:18:58,000 Speaker 3: excuse me. Nevaden's Leon Benzer, fifty seven, was serving a 342 00:18:58,080 --> 00:19:00,639 Speaker 3: one hundred and eighty eight month prison sentence for one 343 00:19:00,680 --> 00:19:04,040 Speaker 3: kunt of conspiracy to commit mal mail and wirefraud fourteen 344 00:19:04,040 --> 00:19:07,800 Speaker 3: counts of wirefraud. Back in twenty eighteen, Federal Judge James 345 00:19:07,800 --> 00:19:10,480 Speaker 3: Mayhon heard a sobbing Binzer apologize for his misdeeds and 346 00:19:10,520 --> 00:19:13,320 Speaker 3: heard an emotional plague on video from Binzer's struggling wife 347 00:19:13,320 --> 00:19:15,760 Speaker 3: and children, but prosecutors reminded the court of the thousands 348 00:19:15,800 --> 00:19:19,119 Speaker 3: of a homeowners victimized, many of them frail, elderly, and 349 00:19:19,160 --> 00:19:23,800 Speaker 3: now destitute. What are we doing here and why aren't 350 00:19:23,840 --> 00:19:27,480 Speaker 3: we at least hadding it out with much more sympathetic characters. 351 00:19:27,800 --> 00:19:31,359 Speaker 2: Absolutely, yeah, what are we doing here? I kind of 352 00:19:31,400 --> 00:19:34,520 Speaker 2: maybe want to see discussion of revamping this whole process, 353 00:19:34,600 --> 00:19:38,119 Speaker 2: because again, while I like clemency, and while I like 354 00:19:38,200 --> 00:19:42,960 Speaker 2: the idea of giving somebody a second chance, these people 355 00:19:43,080 --> 00:19:45,440 Speaker 2: largely don't seem like they deserve a second chance. Again, 356 00:19:45,480 --> 00:19:48,640 Speaker 2: going back to the judges who put children in prison 357 00:19:48,840 --> 00:19:52,719 Speaker 2: for money for money and ruined their lives. In one 358 00:19:52,800 --> 00:19:54,760 Speaker 2: of the cases, it was the other judge. Actually this 359 00:19:54,840 --> 00:19:59,919 Speaker 2: case it wasn't Clemens, but the other judge was interrupted 360 00:20:00,080 --> 00:20:03,280 Speaker 2: by a woman named Sandy Fonzo, whose son died by 361 00:20:03,320 --> 00:20:08,600 Speaker 2: suicide after the other judge educated him to placement, despite 362 00:20:08,640 --> 00:20:12,160 Speaker 2: the son being a first time offender. So it really 363 00:20:12,160 --> 00:20:15,639 Speaker 2: does have some serious implications, and the idea that these 364 00:20:15,760 --> 00:20:19,560 Speaker 2: kinds of people are getting out when far more sympathetic 365 00:20:19,560 --> 00:20:22,600 Speaker 2: people are staying in prison is you know, I really 366 00:20:22,680 --> 00:20:25,720 Speaker 2: do think we should take a good hard look process. 367 00:20:25,359 --> 00:20:27,960 Speaker 3: As our friend Jim Garritty at National Review points out 368 00:20:28,000 --> 00:20:30,119 Speaker 3: he's been reporting on a lot of this. Joe Biden 369 00:20:30,160 --> 00:20:32,760 Speaker 3: has a real soft spot in his heart for fraudsters, swindlers, 370 00:20:32,760 --> 00:20:33,399 Speaker 3: and embezzlers. 371 00:20:33,480 --> 00:20:33,800 Speaker 1: Huh. 372 00:20:33,880 --> 00:20:35,480 Speaker 3: I guess game respects. 373 00:20:35,040 --> 00:20:38,040 Speaker 2: Game, and that's really good, Jim. 374 00:20:38,320 --> 00:20:41,439 Speaker 3: I do think these are signals of what you think 375 00:20:41,760 --> 00:20:44,520 Speaker 3: is forgivable, right, And there might be a reason the 376 00:20:44,520 --> 00:20:47,680 Speaker 3: Biden family thinks this is in particular forgivable. 377 00:20:47,920 --> 00:20:50,879 Speaker 2: This is some rough stuff we're going to take a 378 00:20:50,880 --> 00:20:57,480 Speaker 2: short break and come right back with normally. So my 379 00:20:57,560 --> 00:20:59,800 Speaker 2: friend John Cardillo pointed out the story to me, and 380 00:20:59,840 --> 00:21:03,280 Speaker 2: he was like, these are the dumbest people alive. He tweeted, 381 00:21:03,359 --> 00:21:06,920 Speaker 2: DC food workers vow Trump officials won't feel welcomed when 382 00:21:06,960 --> 00:21:10,000 Speaker 2: dining out in Nations Capital, and John adds a bunch 383 00:21:10,040 --> 00:21:12,320 Speaker 2: of these morons are on the record and their names 384 00:21:12,320 --> 00:21:15,639 Speaker 2: are in the story. So one of the women in 385 00:21:15,680 --> 00:21:18,760 Speaker 2: the story has already been fired, which is the correct 386 00:21:18,800 --> 00:21:23,639 Speaker 2: move here. These people just seem like they think that 387 00:21:23,680 --> 00:21:26,960 Speaker 2: they're above any kinds of rules, like having to do 388 00:21:27,000 --> 00:21:29,600 Speaker 2: your job where you have to just serve the people 389 00:21:29,600 --> 00:21:32,600 Speaker 2: that come into your restaurant. A quote that I highlighted 390 00:21:32,840 --> 00:21:37,240 Speaker 2: is Zach Hoffman, who's a DC restaurant veteran who is 391 00:21:37,280 --> 00:21:40,840 Speaker 2: now manager at the National Democratic Club. He said, you 392 00:21:40,880 --> 00:21:43,919 Speaker 2: expect the masses to just ignore RFK eating at the 393 00:21:43,960 --> 00:21:46,879 Speaker 2: Diplomat on a Sunday morning after a few mimosas not 394 00:21:47,040 --> 00:21:51,320 Speaker 2: throw a drink in his face. Bro. Yeah, I mean yes, 395 00:21:51,359 --> 00:21:55,040 Speaker 2: I do, first of all. But then second of all, 396 00:21:55,080 --> 00:21:56,520 Speaker 2: I went and I looked. I had to look up. 397 00:21:56,560 --> 00:21:58,880 Speaker 2: I had to see the man who thinks that he's 398 00:21:58,960 --> 00:22:01,720 Speaker 2: coming up to RFK throwing mamosa in space. And let 399 00:22:01,800 --> 00:22:04,200 Speaker 2: me tell you, this guy's not throwing anything. 400 00:22:05,680 --> 00:22:08,400 Speaker 3: I think RFK would take him down. By the way, 401 00:22:08,600 --> 00:22:12,119 Speaker 3: the management over at the Diplomat, which is like a 402 00:22:12,359 --> 00:22:15,600 Speaker 3: pretty especially especially maybe eight years ago, it was a 403 00:22:15,720 --> 00:22:19,560 Speaker 3: very trendy place for the higher ups in DC to dine. 404 00:22:19,840 --> 00:22:22,960 Speaker 3: It's it's a nice French restaurant called DIP is the 405 00:22:23,960 --> 00:22:29,640 Speaker 3: nickname for us insufferably, but LADP is like whoa, whoa, whoa, 406 00:22:29,720 --> 00:22:32,000 Speaker 3: So their statements like for over ten years, the Diplomat 407 00:22:32,000 --> 00:22:34,040 Speaker 3: has opened its doors to both Democrats and Republicans, and 408 00:22:34,080 --> 00:22:37,840 Speaker 3: our managers and all employees are highly trade and highly professional. 409 00:22:38,080 --> 00:22:42,600 Speaker 3: READI standards of hospitality service. A spokesperson for Star Restaurants said, 410 00:22:42,920 --> 00:22:45,080 Speaker 3: our patrons come from all political walks of life on 411 00:22:45,119 --> 00:22:47,119 Speaker 3: a daily basis, and we take pride in providing a 412 00:22:47,160 --> 00:22:51,040 Speaker 3: safe a political space for all to dine, converse, and 413 00:22:51,119 --> 00:22:54,080 Speaker 3: build bridges. Definitely getting ready for o Republican administration to 414 00:22:54,119 --> 00:22:56,360 Speaker 3: come in that statement. 415 00:22:56,119 --> 00:22:57,720 Speaker 2: Right, I mean, what is he What do they think 416 00:22:57,840 --> 00:23:00,720 Speaker 2: it's going to be a Republican administ for the next 417 00:23:00,760 --> 00:23:03,600 Speaker 2: four years at least? Do they really think that they're 418 00:23:03,600 --> 00:23:08,200 Speaker 2: going to stop these people from enjoying the restaurants of Washington, DC? 419 00:23:08,680 --> 00:23:10,240 Speaker 2: And you know, there was a lot of this in 420 00:23:10,280 --> 00:23:14,200 Speaker 2: the first Trump administration, where Sarah Huckabee Sanders was asked 421 00:23:14,200 --> 00:23:16,720 Speaker 2: to leave a restaurant in Virginia and that kind of thing. 422 00:23:17,760 --> 00:23:20,359 Speaker 2: I again, I know we talk about the vibe shift. 423 00:23:20,440 --> 00:23:23,879 Speaker 2: I do think the vibe has shifted. I don't think 424 00:23:23,920 --> 00:23:26,920 Speaker 2: people will stand for this kind of behavior this time around. 425 00:23:27,280 --> 00:23:31,160 Speaker 2: It was a different election, it was a different type 426 00:23:31,160 --> 00:23:35,399 Speaker 2: of election. It wasn't a surprise election necessarily in twenty sixteen. 427 00:23:35,400 --> 00:23:37,080 Speaker 2: It was a shock to the system that Trump won. 428 00:23:37,160 --> 00:23:39,240 Speaker 2: A lot of people behaved really badly and kind of 429 00:23:39,240 --> 00:23:42,359 Speaker 2: got away with it. I don't think that's happening this time. 430 00:23:42,880 --> 00:23:45,680 Speaker 3: No, I don't think it is either. And the explicit 431 00:23:46,600 --> 00:23:50,480 Speaker 3: appeal by Governor Glenn Youngkin of Virginia, a man with 432 00:23:50,520 --> 00:23:54,160 Speaker 3: a sixty five percent approval rating for a reason, will 433 00:23:54,200 --> 00:23:57,919 Speaker 3: help because he's like, y'all just come to Virginia, right, Like, 434 00:23:57,960 --> 00:24:02,080 Speaker 3: if they're not serving you in DC, please come down 435 00:24:02,320 --> 00:24:04,760 Speaker 3: to Virginia. And it's not very far and there are 436 00:24:04,880 --> 00:24:09,680 Speaker 3: nice restaurants and people in a Trump administration, I imagine, will 437 00:24:09,800 --> 00:24:12,480 Speaker 3: do a lot of that because they will not want 438 00:24:12,520 --> 00:24:15,080 Speaker 3: to run into people who say, like this server who 439 00:24:15,080 --> 00:24:18,120 Speaker 3: has been fired. I personally would refuse to serve any 440 00:24:18,119 --> 00:24:20,320 Speaker 3: person in office who I know of as being a 441 00:24:20,359 --> 00:24:23,199 Speaker 3: sex trafficker or trying to deport millions of people. Like, 442 00:24:23,200 --> 00:24:25,960 Speaker 3: what are we even talking about. It's not, oh, we 443 00:24:26,000 --> 00:24:29,000 Speaker 3: hate Republicans. It's that this person has moral convictions that 444 00:24:29,000 --> 00:24:31,480 Speaker 3: are strongly opposed to mine, and I don't feel comfortable 445 00:24:31,520 --> 00:24:32,760 Speaker 3: serving them. 446 00:24:32,880 --> 00:24:35,199 Speaker 2: You know who you know who deported more people than 447 00:24:35,320 --> 00:24:39,640 Speaker 2: anybody in the last you know, five presidents. 448 00:24:38,680 --> 00:24:41,879 Speaker 3: Barack Obama. I'm sure the server is informed of that. 449 00:24:42,400 --> 00:24:43,480 Speaker 3: Inconvenient fact. 450 00:24:44,160 --> 00:24:45,720 Speaker 2: By the way, I'm going to be shouting that a 451 00:24:45,800 --> 00:24:47,119 Speaker 2: w throws me out of the restaurant. 452 00:24:47,880 --> 00:24:51,720 Speaker 3: Can I say that I would like administration of each 453 00:24:51,920 --> 00:24:54,960 Speaker 3: officials and deep staters and people close to Jill and 454 00:24:55,040 --> 00:24:57,560 Speaker 3: Joe Biden to be as brave and stupid as these 455 00:24:57,600 --> 00:24:59,639 Speaker 3: people who put their names on the record. I need 456 00:24:59,680 --> 00:25:02,880 Speaker 3: to see much more of that kind of backbone from 457 00:25:02,880 --> 00:25:03,680 Speaker 3: the resistors. 458 00:25:04,000 --> 00:25:05,040 Speaker 2: I still think we will. 459 00:25:05,160 --> 00:25:05,520 Speaker 3: I do. 460 00:25:05,920 --> 00:25:10,960 Speaker 2: I think we're going to see some stories and yeah, 461 00:25:11,440 --> 00:25:14,480 Speaker 2: with their names on it. I will, you know, hopefully, just. 462 00:25:14,560 --> 00:25:19,120 Speaker 3: You know, use this server as your inspiration. You may 463 00:25:19,160 --> 00:25:20,880 Speaker 3: lose your job, but it was to resist. 464 00:25:21,040 --> 00:25:22,240 Speaker 2: Yeah, it'll be worth it. 465 00:25:22,240 --> 00:25:23,040 Speaker 3: It's honorable. 466 00:25:24,000 --> 00:25:27,280 Speaker 2: Well, thanks for joining us on normally. Normally airs Tuesdays 467 00:25:27,280 --> 00:25:30,680 Speaker 2: and Thursdays, and you can subscribe anywhere you get your podcasts. 468 00:25:30,920 --> 00:25:33,719 Speaker 2: We will be having an ask us Anything episode at 469 00:25:33,720 --> 00:25:35,520 Speaker 2: the end of this month. We're not sure of the 470 00:25:35,600 --> 00:25:38,640 Speaker 2: date yet, but you can email us at normallythepod at 471 00:25:38,640 --> 00:25:42,719 Speaker 2: gmail dot com or we have posted an anonymous form 472 00:25:43,160 --> 00:25:46,159 Speaker 2: linked to an anonymous form on our x accounts, so 473 00:25:46,240 --> 00:25:48,880 Speaker 2: check it out there. Thanks for listening, and when things 474 00:25:48,920 --> 00:25:50,680 Speaker 2: get weird, act normally