1 00:00:00,080 --> 00:00:01,599 Speaker 1: Hey guys, Saga and Crystal here. 2 00:00:01,680 --> 00:00:05,240 Speaker 2: Independent media just played a truly massive role in this election, 3 00:00:05,360 --> 00:00:07,840 Speaker 2: and we are so excited about what that means for 4 00:00:07,880 --> 00:00:08,720 Speaker 2: the future of this show. 5 00:00:08,880 --> 00:00:10,760 Speaker 1: This is the only place where you can find honest 6 00:00:10,760 --> 00:00:13,280 Speaker 1: perspectives from the left and the right that simply does 7 00:00:13,320 --> 00:00:14,640 Speaker 1: not exist anywhere else. 8 00:00:14,720 --> 00:00:17,080 Speaker 2: So if that is something that's important to you, please 9 00:00:17,120 --> 00:00:19,599 Speaker 2: go to Breakingpoints dot com. Become a member today and 10 00:00:19,640 --> 00:00:22,800 Speaker 2: you'll get access to our full shows, unedited, ad free, 11 00:00:22,800 --> 00:00:25,600 Speaker 2: and all put together for you every morning in your inbox. 12 00:00:25,680 --> 00:00:27,560 Speaker 1: We need your help to build the future of independent 13 00:00:27,560 --> 00:00:29,920 Speaker 1: news media, and we hope to see you at Breakingpoints 14 00:00:29,960 --> 00:00:30,560 Speaker 1: dot com. 15 00:00:31,000 --> 00:00:33,400 Speaker 3: Hey guys, Happy Friday. How's everybody doing. 16 00:00:35,000 --> 00:00:40,160 Speaker 2: Good girl show, Let's go, Let's go, Queen talk about 17 00:00:40,200 --> 00:00:44,920 Speaker 2: the boys. It was a big week over at Breaking Points. 18 00:00:44,960 --> 00:00:48,800 Speaker 2: I would say, yeah, we call some waves this week. 19 00:00:48,920 --> 00:00:50,400 Speaker 2: I don't think there's any doubt about it. 20 00:00:51,240 --> 00:00:54,560 Speaker 4: Oh No, all the way to Colbert Waves, all the 21 00:00:54,560 --> 00:00:55,280 Speaker 4: way to Colbert. 22 00:00:55,800 --> 00:00:57,720 Speaker 3: True. Yeah, where it really counts. 23 00:00:57,920 --> 00:01:02,160 Speaker 4: You know, it really happens unless Stephen Colbert talks about it. 24 00:01:02,240 --> 00:01:03,960 Speaker 4: As the saying goes the biz. 25 00:01:04,440 --> 00:01:07,560 Speaker 2: Everyone knows that. Everyone knows that. That's why he's being 26 00:01:07,600 --> 00:01:09,080 Speaker 2: canceled because he's over the target. 27 00:01:09,120 --> 00:01:14,319 Speaker 3: Emily, that's right, that's right, well, so true, queen. 28 00:01:17,160 --> 00:01:19,760 Speaker 2: So yeah, we had the big Alyssa Slotkin interview this week, 29 00:01:20,319 --> 00:01:22,760 Speaker 2: I think perhaps even more significant, even though that got 30 00:01:22,959 --> 00:01:25,679 Speaker 2: like crazy, you know, attention, and I think kind of 31 00:01:25,720 --> 00:01:27,600 Speaker 2: forced her hand on this boat with Bernie Sanders will 32 00:01:27,600 --> 00:01:30,600 Speaker 2: talk more about that. We also had the interview yesterday 33 00:01:30,800 --> 00:01:36,320 Speaker 2: with the GHF whistleblower, former green Beret, which was just extraordinary. 34 00:01:36,480 --> 00:01:39,720 Speaker 2: You know, here's a man who served nine combat tours 35 00:01:40,520 --> 00:01:43,680 Speaker 2: rack Afghanistan, like has seen everything in war that you 36 00:01:43,680 --> 00:01:46,399 Speaker 2: would think that you could see. And I'm watching this 37 00:01:46,480 --> 00:01:50,520 Speaker 2: grown man shake and tear up as he describes what 38 00:01:50,680 --> 00:01:53,600 Speaker 2: is being done to human beings, not only by the Israelis, 39 00:01:53,640 --> 00:01:56,880 Speaker 2: by the way, this is important point, by American mercenaries 40 00:01:57,440 --> 00:02:00,760 Speaker 2: sent there, you know, with our taxpayer dollars, although actually 41 00:02:00,800 --> 00:02:04,600 Speaker 2: the funding of GHF is very sketchy. And yeah, I 42 00:02:04,640 --> 00:02:10,919 Speaker 2: really I hope people watch that interview because for someone 43 00:02:10,919 --> 00:02:14,120 Speaker 2: who has so much credibility in terms of serving theaters 44 00:02:14,120 --> 00:02:16,480 Speaker 2: of war, you know, just retired as a Green Beret, 45 00:02:17,160 --> 00:02:21,920 Speaker 2: to be that horrified and shocked to his core by 46 00:02:22,160 --> 00:02:26,200 Speaker 2: what our country is doing in Gaza. I think it 47 00:02:26,320 --> 00:02:29,440 Speaker 2: really to me a really sense of message, you know, 48 00:02:29,520 --> 00:02:32,519 Speaker 2: I hope that people are paying attention to People. 49 00:02:32,320 --> 00:02:35,720 Speaker 4: Are definitely paying attention. That interview has gone viral in 50 00:02:35,800 --> 00:02:37,760 Speaker 4: just less than twenty four hours, so it was great 51 00:02:37,800 --> 00:02:39,400 Speaker 4: stuff from you guys. 52 00:02:40,960 --> 00:02:42,880 Speaker 3: So we've got a lot to get to this morning. 53 00:02:42,880 --> 00:02:45,880 Speaker 2: There are new tariffs, there's new jobs numbers, we've got 54 00:02:45,960 --> 00:02:48,840 Speaker 2: new reaction to the Slotkin interview. We have a doctor 55 00:02:48,880 --> 00:02:51,679 Speaker 2: who's actually just back from Gaza to talk to us. 56 00:02:51,760 --> 00:02:53,480 Speaker 2: And I don't know if you guys know this, every 57 00:02:53,520 --> 00:02:55,960 Speaker 2: time we talk to someone who is either on the 58 00:02:55,960 --> 00:02:59,600 Speaker 2: ground in Gaza or just came back from Gaza, typically 59 00:02:59,720 --> 00:03:03,040 Speaker 2: in a specifically medical professional. I don't know why the 60 00:03:03,080 --> 00:03:06,840 Speaker 2: segments get nuked, They just get completely crushed in the algorithm. 61 00:03:07,200 --> 00:03:09,919 Speaker 2: But it's so important to hear the voices of doctors 62 00:03:09,960 --> 00:03:12,000 Speaker 2: who have been there on the ground, and you know, 63 00:03:12,120 --> 00:03:15,960 Speaker 2: to hear their words of what they're specifically seeing right now. 64 00:03:16,040 --> 00:03:19,600 Speaker 2: And we've also got Kamala Harris coming out potentially again 65 00:03:19,639 --> 00:03:24,320 Speaker 2: another Colbert another Colbert special here potentially positioning ourselves to 66 00:03:24,400 --> 00:03:26,840 Speaker 2: run for president. So lots of things to talk about 67 00:03:26,840 --> 00:03:27,320 Speaker 2: this morning. 68 00:03:27,720 --> 00:03:30,240 Speaker 4: Oh you forgot that we also have access to Jade 69 00:03:30,320 --> 00:03:32,840 Speaker 4: Vance's playlists apparently on Spotify, So. 70 00:03:32,919 --> 00:03:34,760 Speaker 3: I buried the lead. Sorry about that. 71 00:03:34,760 --> 00:03:38,240 Speaker 4: That was really everything that we That's what we're really 72 00:03:38,360 --> 00:03:40,760 Speaker 4: covering today. The rest is a pretense to get you 73 00:03:40,800 --> 00:03:42,920 Speaker 4: to stick around to hear about Jady Vance's playlist. 74 00:03:43,280 --> 00:03:45,360 Speaker 3: That's right, that'll be in the premium half only. 75 00:03:45,600 --> 00:03:47,640 Speaker 2: So if you want to be a premium subscriber and 76 00:03:47,680 --> 00:03:49,040 Speaker 2: hear about that, sign. 77 00:03:48,960 --> 00:03:52,280 Speaker 3: Up Breakingpoints dot Com. All right, what should we start with? Guys? 78 00:03:52,320 --> 00:03:53,240 Speaker 3: What do we got here? Griffin? 79 00:03:53,520 --> 00:03:58,040 Speaker 5: Well, I'm trying to you know, enjoy my Stephen Colbert community. 80 00:03:58,240 --> 00:04:00,520 Speaker 5: But then all the comments have been over a run. 81 00:04:01,280 --> 00:04:03,960 Speaker 5: I don't know if you check this. Alyssa slot can 82 00:04:04,040 --> 00:04:09,360 Speaker 5: interview here, but I was here just to say ghostlot 83 00:04:09,440 --> 00:04:12,680 Speaker 5: can gold Colbert like raw raw rah. But the comments 84 00:04:12,680 --> 00:04:15,640 Speaker 5: here are are confusing me because every single one of 85 00:04:15,640 --> 00:04:17,440 Speaker 5: them seems to be about Breaking Points. 86 00:04:18,640 --> 00:04:19,800 Speaker 3: We don't acceptable. 87 00:04:20,440 --> 00:04:24,280 Speaker 5: We don't really like to you know, analyze comments sections. 88 00:04:24,320 --> 00:04:27,240 Speaker 5: We know that they can you know, uh, not be 89 00:04:27,400 --> 00:04:31,120 Speaker 5: fully representative of a reaction and and be maybe uh 90 00:04:31,839 --> 00:04:34,120 Speaker 5: but we didn't tell anyone to do this, Okay, we 91 00:04:34,120 --> 00:04:38,279 Speaker 5: didn't tell anyone to go brigade the Stephen Colbert YouTube channel, and. 92 00:04:38,360 --> 00:04:41,080 Speaker 4: We wouldn't because that is a sacred space. That is 93 00:04:41,080 --> 00:04:42,080 Speaker 4: a sacred space. 94 00:04:43,240 --> 00:04:45,640 Speaker 6: Yeah, so I don't know. 95 00:04:45,680 --> 00:04:47,919 Speaker 5: Maybe we're telling people go in and comments something else, 96 00:04:48,000 --> 00:04:49,840 Speaker 5: but right here we've got comments. 97 00:04:49,839 --> 00:04:50,719 Speaker 6: If you're just listening. 98 00:04:50,960 --> 00:04:54,200 Speaker 5: Uh, these are all comments under h Alyssa Slockin's interview 99 00:04:54,240 --> 00:04:57,960 Speaker 5: with Stephen Colbert. H stuff like thanks to Breaking Points, 100 00:04:58,000 --> 00:05:00,159 Speaker 5: we now know the senator was recording this interview you 101 00:05:00,200 --> 00:05:02,000 Speaker 5: at the same time she was supposed to vote on 102 00:05:02,040 --> 00:05:06,680 Speaker 5: preventing further funding to Israel for offensive weapons. Another comment here, 103 00:05:06,920 --> 00:05:08,919 Speaker 5: slock and staff told her to go to Breaking Points 104 00:05:08,920 --> 00:05:11,080 Speaker 5: for publicity, then her pr told her to go to 105 00:05:11,120 --> 00:05:18,360 Speaker 5: Colbert's for damage control. Breaking Points interview really helps show 106 00:05:18,440 --> 00:05:22,080 Speaker 5: Senator Slockin's true character. Everyone needs to get her interviewed 107 00:05:22,080 --> 00:05:24,880 Speaker 5: on Breaking Points. That's how an interview should be handled. 108 00:05:24,920 --> 00:05:27,719 Speaker 5: And finally, Breaking Points really dropped the ball by not 109 00:05:27,839 --> 00:05:31,200 Speaker 5: asking Senator Slockin about her opinion on hot dogs versus 110 00:05:31,240 --> 00:05:32,240 Speaker 5: sandwich is true? 111 00:05:32,440 --> 00:05:35,039 Speaker 3: True? We miss that, we missed. That didn't have time. 112 00:05:35,040 --> 00:05:37,320 Speaker 2: That was my next question before her staff was like 113 00:05:37,480 --> 00:05:39,400 Speaker 2: she she must leave this out right now. 114 00:05:39,680 --> 00:05:40,400 Speaker 6: Yeah, yeah, I could. 115 00:05:40,440 --> 00:05:42,680 Speaker 4: I could tell they were really like rushing it up, 116 00:05:42,960 --> 00:05:46,320 Speaker 4: because you could tell like Sager was really really paying attention. 117 00:05:48,520 --> 00:05:51,560 Speaker 2: Sacer is more attentive to the staffers concerns that I am. 118 00:05:52,480 --> 00:05:54,919 Speaker 4: This is this is the same dynamic. This is the 119 00:05:54,960 --> 00:05:57,200 Speaker 4: same dynamic with Ryan and me. I am like when 120 00:05:57,240 --> 00:05:59,600 Speaker 4: the staff is like we gotta go, I'm like okay, whatever. 121 00:05:59,680 --> 00:06:01,960 Speaker 4: And then and once I get like three warnings and 122 00:06:02,080 --> 00:06:03,760 Speaker 4: like Ryan stop. 123 00:06:04,480 --> 00:06:10,440 Speaker 2: Yeah, well, I mean the staffers, the staffers, they're going 124 00:06:10,520 --> 00:06:13,479 Speaker 2: to tell you she needs to go, like twenty minutes 125 00:06:13,520 --> 00:06:15,240 Speaker 2: before she actually wants to go, Like. 126 00:06:15,200 --> 00:06:16,680 Speaker 3: That's the game. They know what we do. 127 00:06:17,080 --> 00:06:19,440 Speaker 2: Yeah, they know what we do, right, And you know, 128 00:06:19,520 --> 00:06:22,080 Speaker 2: obviously my interview was uncomfortable, but it wasn't going now 129 00:06:22,120 --> 00:06:25,400 Speaker 2: and that may factor into how long a time they decided. 130 00:06:25,440 --> 00:06:26,480 Speaker 3: They showed a lot to this. 131 00:06:27,000 --> 00:06:29,839 Speaker 2: But yeah, I you know, I was seeing the messages 132 00:06:29,960 --> 00:06:32,800 Speaker 2: from uh, from the guys in the control room, like Okay, 133 00:06:32,800 --> 00:06:35,039 Speaker 2: the staffer says she has to go. I'm like, well 134 00:06:36,000 --> 00:06:38,000 Speaker 2: go in a few minutes, like a couple more things 135 00:06:38,080 --> 00:06:40,320 Speaker 2: we want to get to you here. But interestingly she 136 00:06:40,440 --> 00:06:44,880 Speaker 2: also so she missed. We obviously pressed her on okay, 137 00:06:45,279 --> 00:06:49,039 Speaker 2: would you block aid like weapons to Israel, and she 138 00:06:49,200 --> 00:06:52,160 Speaker 2: starts saying, well, I think there's a distinction between offensive 139 00:06:52,200 --> 00:06:54,839 Speaker 2: and defensive, and Sager asks her, okay, well would you 140 00:06:55,080 --> 00:06:58,039 Speaker 2: would you block offensive weapons? And she says, that's a 141 00:06:58,080 --> 00:07:01,480 Speaker 2: conversation I'm open to. Then we get into an exchange 142 00:07:01,480 --> 00:07:04,560 Speaker 2: about defensive weapons. And this was before I knew. I 143 00:07:04,600 --> 00:07:06,719 Speaker 2: wish I had known, but this was before I knew 144 00:07:07,160 --> 00:07:09,400 Speaker 2: that Burning was going to offer these two resolutions on 145 00:07:09,560 --> 00:07:14,320 Speaker 2: blocking specifically offensive weapons. So she's very squishy in the interview, 146 00:07:14,360 --> 00:07:17,320 Speaker 2: doesn't commit, and then happens to decide that it's more 147 00:07:17,360 --> 00:07:20,000 Speaker 2: important to go to New York and film this appearance 148 00:07:20,000 --> 00:07:22,960 Speaker 2: of the Colbert Stephen Colbert. I still want to call 149 00:07:22,960 --> 00:07:24,520 Speaker 2: it the Colbert Report, but whatever. 150 00:07:24,640 --> 00:07:25,520 Speaker 4: Oh don't you dare? 151 00:07:26,080 --> 00:07:28,040 Speaker 7: Yeah's a good. 152 00:07:28,000 --> 00:07:28,840 Speaker 3: Name of that show. 153 00:07:28,920 --> 00:07:32,320 Speaker 2: Yeah, But in any case, she decides it's more important 154 00:07:32,320 --> 00:07:35,240 Speaker 2: to be there in New York with Stephen Colbert than 155 00:07:35,560 --> 00:07:39,360 Speaker 2: taking this vote to block weapons going into a genocide. 156 00:07:39,800 --> 00:07:43,960 Speaker 2: So this is noted by many people, and she put 157 00:07:44,000 --> 00:07:47,440 Speaker 2: out this like long tortured statement. 158 00:07:47,160 --> 00:07:48,600 Speaker 6: Kind of like a Tumblr post. 159 00:07:48,680 --> 00:07:54,920 Speaker 2: Here it's giving Ackman, you know Ackman for sure, and 160 00:07:55,000 --> 00:07:57,040 Speaker 2: she I mean, I don't need to give you all 161 00:07:57,080 --> 00:07:59,360 Speaker 2: of this, but she talks about I've struggled with this 162 00:07:59,440 --> 00:08:01,880 Speaker 2: blah blah bla more than any previous votes in the 163 00:08:01,920 --> 00:08:06,000 Speaker 2: nearly two years, she says. Ultimately, she claims that had 164 00:08:06,040 --> 00:08:08,720 Speaker 2: she bothered to be there, that she would have voted 165 00:08:08,880 --> 00:08:12,360 Speaker 2: for the resolution to block the weapons, and then she 166 00:08:12,440 --> 00:08:15,840 Speaker 2: goes on to say, you know, she'll evaluate on a 167 00:08:15,880 --> 00:08:18,360 Speaker 2: case by case basis in the future, just based on 168 00:08:18,440 --> 00:08:20,720 Speaker 2: I guess whether or not, like how fully and completely 169 00:08:20,760 --> 00:08:25,000 Speaker 2: they're starving and bombing Palestinians at that particular moment, So wherever. 170 00:08:24,680 --> 00:08:27,520 Speaker 6: She's booked on late night at that evening, Yeah, I mean. 171 00:08:27,360 --> 00:08:31,120 Speaker 2: That too, right, Yeah, I mean you know, if Jimmy 172 00:08:31,120 --> 00:08:34,800 Speaker 2: Fallon calls, we all know what takes precedence. Right on 173 00:08:34,800 --> 00:08:36,720 Speaker 2: one side, you've got a genocide. On the other side, 174 00:08:36,720 --> 00:08:37,680 Speaker 2: you've got late night TV. 175 00:08:38,920 --> 00:08:41,160 Speaker 4: So actually, this is how they can This is how 176 00:08:41,360 --> 00:08:44,640 Speaker 4: Dems actually should think about. If they ever don't want 177 00:08:44,679 --> 00:08:47,440 Speaker 4: something to pass, they just and it's a close vote, 178 00:08:47,480 --> 00:08:50,880 Speaker 4: they just have Fallon call it Slotkin. She's out of there. 179 00:08:51,400 --> 00:08:54,160 Speaker 2: There you go, there you go, good call, good call 180 00:08:54,200 --> 00:08:55,480 Speaker 2: on that. So I don't know, what do you guys, 181 00:08:55,559 --> 00:08:57,880 Speaker 2: what do you guys think about the like what are 182 00:08:57,880 --> 00:08:59,600 Speaker 2: your thoughts on the state, because there's so many layers here. 183 00:08:59,600 --> 00:09:02,920 Speaker 2: I mean, first of all, like the inability to commit 184 00:09:02,960 --> 00:09:05,640 Speaker 2: to anything with us, and then she's like, can't bother 185 00:09:05,800 --> 00:09:08,200 Speaker 2: to be there and then puts out this long tortured 186 00:09:08,240 --> 00:09:10,520 Speaker 2: post that like, you weren't there to vote, So it's 187 00:09:10,600 --> 00:09:13,360 Speaker 2: sort of meaningless. But also it's not like she's committing 188 00:09:13,400 --> 00:09:15,719 Speaker 2: to do anything in the future either. It's just sort 189 00:09:15,760 --> 00:09:17,640 Speaker 2: of I don't know. It's just sort of classic like 190 00:09:17,760 --> 00:09:21,560 Speaker 2: political evasion and lack of prioritization of anything that could 191 00:09:21,600 --> 00:09:24,600 Speaker 2: actually matter, an addication of duty of like what power 192 00:09:24,640 --> 00:09:26,600 Speaker 2: you actually have as a United States editor. 193 00:09:26,960 --> 00:09:28,959 Speaker 4: It's the best trick on Capitol Hill to miss the 194 00:09:29,040 --> 00:09:31,840 Speaker 4: vote and say how you would have voted. And so 195 00:09:31,960 --> 00:09:35,040 Speaker 4: her doing that on a critical vote for Democrats, at 196 00:09:35,120 --> 00:09:38,839 Speaker 4: least in the midst of this media tour is particularly 197 00:09:39,120 --> 00:09:42,640 Speaker 4: cowardly and not reflective of somebody leaning into a leadership 198 00:09:42,720 --> 00:09:44,520 Speaker 4: role in the party, which is exactly what she is 199 00:09:44,559 --> 00:09:47,480 Speaker 4: trying to do as she goes to all of these 200 00:09:47,520 --> 00:09:51,360 Speaker 4: different shows. So I have a question about that, and 201 00:09:51,400 --> 00:09:53,480 Speaker 4: then we can table it for the moment. But a 202 00:09:53,559 --> 00:09:56,959 Speaker 4: question is, so why she has pushed herself for exposure 203 00:09:57,080 --> 00:09:59,120 Speaker 4: over the course of just the last week. I mean, 204 00:09:59,160 --> 00:10:02,680 Speaker 4: obviously she's into this for presidential reasons. There are people 205 00:10:02,760 --> 00:10:04,760 Speaker 4: in the party. It seems to me very obviously there 206 00:10:04,760 --> 00:10:07,440 Speaker 4: are people in the party who are pushing her into 207 00:10:07,440 --> 00:10:08,640 Speaker 4: the mail for these reasons. 208 00:10:08,720 --> 00:10:09,280 Speaker 7: Yeah. 209 00:10:09,400 --> 00:10:12,120 Speaker 4: Now, on the other hand, we talked about this privately, 210 00:10:12,200 --> 00:10:14,120 Speaker 4: but I thought a couple of interesting things came out 211 00:10:14,120 --> 00:10:17,559 Speaker 4: of your guys's conversation. First of all, I mean a 212 00:10:17,559 --> 00:10:20,160 Speaker 4: lot of interesting things, but just in terms of reading 213 00:10:20,160 --> 00:10:25,120 Speaker 4: the tea leaves, she seems eager to look like she 214 00:10:25,280 --> 00:10:30,280 Speaker 4: was divorcing herself from Netanyahu and LCUD and the current 215 00:10:30,440 --> 00:10:32,559 Speaker 4: state of the humanitarian crisis. 216 00:10:32,600 --> 00:10:34,880 Speaker 7: She seemed to me like she was leaning into that. 217 00:10:35,360 --> 00:10:38,600 Speaker 4: But so she wanted to sort of be seen as somebody, 218 00:10:38,880 --> 00:10:43,560 Speaker 4: which is very interesting for like the mascot of moderate 219 00:10:43,559 --> 00:10:47,959 Speaker 4: Democrats to be doing. But she abu she couldn't execute, 220 00:10:48,200 --> 00:10:51,440 Speaker 4: of course, as we've discussed, But like that is in 221 00:10:51,480 --> 00:10:54,640 Speaker 4: and of itself, I think that's quite interesting. Her doing 222 00:10:54,720 --> 00:10:59,000 Speaker 4: breaking points is quite interesting because I think people are 223 00:10:59,040 --> 00:11:04,640 Speaker 4: starting to realize that the reason you lose podcasters and 224 00:11:04,720 --> 00:11:08,120 Speaker 4: young people is because you're not even in the arena 225 00:11:08,559 --> 00:11:11,320 Speaker 4: and so they're starting to make this calculation, this cost 226 00:11:11,360 --> 00:11:13,880 Speaker 4: benefit analysis, that it's better to be in the arena. 227 00:11:13,960 --> 00:11:16,200 Speaker 4: She knew she was alives. My theory would be that 228 00:11:16,240 --> 00:11:17,880 Speaker 4: she knew her staff knew that she was about to 229 00:11:17,880 --> 00:11:18,400 Speaker 4: get grilled. 230 00:11:19,640 --> 00:11:21,520 Speaker 6: But I think we all read that right. 231 00:11:21,720 --> 00:11:24,359 Speaker 5: They we all knew she was coming in for something combative, 232 00:11:24,400 --> 00:11:27,280 Speaker 5: whether she knew how combative it would be, right. 233 00:11:27,320 --> 00:11:29,160 Speaker 4: So I just think that it's interesting that their cost 234 00:11:29,200 --> 00:11:33,240 Speaker 4: benefit analysis and it is leading them to it just 235 00:11:33,280 --> 00:11:35,800 Speaker 4: like going in and that might that might not be 236 00:11:35,840 --> 00:11:39,000 Speaker 4: permanent because of what happened on the show, to be honest, 237 00:11:39,400 --> 00:11:41,040 Speaker 4: and what will probably happen elsewhere. 238 00:11:42,120 --> 00:11:44,200 Speaker 2: I think they'll just choose instead to go on like 239 00:11:44,200 --> 00:11:47,840 Speaker 2: Brian Tyler Cohen or something, you know, like because now 240 00:11:48,320 --> 00:11:50,320 Speaker 2: and look, for a while, it was kind of unfair 241 00:11:50,360 --> 00:11:53,199 Speaker 2: because Republicans had a lot of safe spaces in podcast 242 00:11:53,280 --> 00:11:56,120 Speaker 2: world that they could go to and Democrats had fewer 243 00:11:56,160 --> 00:11:58,360 Speaker 2: of those safe spaces. But now there's safe spaces for 244 00:11:58,400 --> 00:12:00,800 Speaker 2: Democrats to go and like be sickly, get a cable 245 00:12:00,800 --> 00:12:05,000 Speaker 2: news treatment treatment just on YouTube. So I think that's 246 00:12:05,120 --> 00:12:08,720 Speaker 2: likely what happens. But the other I'm hoping and maybe 247 00:12:08,720 --> 00:12:12,040 Speaker 2: this is too self congratulatory. But I'm hoping, just from 248 00:12:12,040 --> 00:12:17,640 Speaker 2: a cynical perspective, because of how much attention that interview garnered, 249 00:12:18,200 --> 00:12:21,320 Speaker 2: and by the way, how much attention Tucker's interview of 250 00:12:21,679 --> 00:12:27,080 Speaker 2: Ted Cruz garnered, that maybe some of these cynical YouTube 251 00:12:27,360 --> 00:12:32,400 Speaker 2: podcast actors will realize that actually doing some preparation and 252 00:12:32,440 --> 00:12:35,440 Speaker 2: asking tough questions of political official, even if you just 253 00:12:35,480 --> 00:12:37,960 Speaker 2: care about views and clicks and clout, that's a pretty 254 00:12:38,160 --> 00:12:40,480 Speaker 2: good way to get those things, because people are interested 255 00:12:40,480 --> 00:12:43,400 Speaker 2: in seeing these individuals held to account. And obviously the 256 00:12:43,720 --> 00:12:46,199 Speaker 2: good reason to do that is because powerful people should 257 00:12:46,200 --> 00:12:48,160 Speaker 2: be held to account. And if you're going to stay 258 00:12:48,200 --> 00:12:51,200 Speaker 2: on the one hand, yes, they're committing crimes against humanity 259 00:12:51,240 --> 00:12:53,800 Speaker 2: with an intentional starvation policy, and on the other hand, 260 00:12:53,840 --> 00:12:55,400 Speaker 2: I don't know if I'm going to do anything about it. 261 00:12:55,400 --> 00:12:56,760 Speaker 2: And by the way, I'm busy that night I got 262 00:12:56,800 --> 00:12:59,120 Speaker 2: to be at Colbert. Yeah, I think that that is 263 00:12:59,240 --> 00:13:02,200 Speaker 2: important in for for people to know about a United 264 00:13:02,240 --> 00:13:06,320 Speaker 2: States senator who clearly has presidential ambitions. So, you know, 265 00:13:06,440 --> 00:13:09,400 Speaker 2: it was extraordinary to see that. I know it's you know, 266 00:13:09,440 --> 00:13:11,560 Speaker 2: I guess it's sort of trivial, but it was extraordinary 267 00:13:11,559 --> 00:13:15,360 Speaker 2: to see the way that comment section you can scroll 268 00:13:15,440 --> 00:13:19,920 Speaker 2: and scroll and scroll in every comment who was about 269 00:13:19,960 --> 00:13:23,480 Speaker 2: her interview on Breaking Points. It's also an indication of 270 00:13:23,480 --> 00:13:25,559 Speaker 2: why Colbert is getting canned. I mean, I do think 271 00:13:25,559 --> 00:13:27,560 Speaker 2: it was political and Trump has something to do with it, 272 00:13:27,559 --> 00:13:31,400 Speaker 2: et cetera. But also, you know her, what she said 273 00:13:31,440 --> 00:13:35,360 Speaker 2: to us, and that exchange was vastly more impactful in 274 00:13:35,440 --> 00:13:37,720 Speaker 2: terms of the political conversation than you know, the the 275 00:13:37,760 --> 00:13:44,080 Speaker 2: bullshit softball spin that she was doing over on Colbert. 276 00:13:44,880 --> 00:13:48,280 Speaker 4: I'm also curious, Griffin, go ahead, go ahead, no no, no, no, 277 00:13:48,320 --> 00:13:50,559 Speaker 4: please go on with I was just gonna say, I'm 278 00:13:50,559 --> 00:13:53,720 Speaker 4: curious why she's making yourself available in media this week. 279 00:13:53,920 --> 00:13:56,880 Speaker 2: Seriously, Like, Oh, I do think I do think there's 280 00:13:56,880 --> 00:13:59,560 Speaker 2: a realization there was a There's this candidate in the 281 00:13:59,600 --> 00:14:04,160 Speaker 2: Senate primary in also in Michigan, Mallory mcmarrow. 282 00:14:04,120 --> 00:14:07,439 Speaker 3: Who is sort of like so there's Hailey. 283 00:14:07,200 --> 00:14:11,240 Speaker 2: Stevens, who's like the full APAC candidate, like she's like 284 00:14:11,360 --> 00:14:14,319 Speaker 2: the you know, most CIA aligned candidate there. And then 285 00:14:14,360 --> 00:14:17,360 Speaker 2: there's Abdulah Sayad who has been endorsed by Bernie. 286 00:14:17,360 --> 00:14:18,000 Speaker 3: We've had him on the show. 287 00:14:18,000 --> 00:14:19,480 Speaker 2: I think we're getting him back on the show next week, 288 00:14:19,520 --> 00:14:22,360 Speaker 2: actually who says it's a gedocide. Like he's very clear 289 00:14:22,560 --> 00:14:25,560 Speaker 2: and has been very morally clear on you know, the 290 00:14:25,600 --> 00:14:29,040 Speaker 2: atrocities being committed on Gaza. And then there's Mallory McMorrow, 291 00:14:29,120 --> 00:14:32,120 Speaker 2: who is like trying she's a Lizabeth candidate. She's trying 292 00:14:32,120 --> 00:14:34,640 Speaker 2: to find what's like, Okay, what can I say that's 293 00:14:34,640 --> 00:14:37,040 Speaker 2: going to be okay and dearborn, but it's not going 294 00:14:37,120 --> 00:14:41,480 Speaker 2: to like, you know, be unacceptable in terms of like 295 00:14:41,640 --> 00:14:45,520 Speaker 2: the Israel status quo. And so she also has landed 296 00:14:45,600 --> 00:14:50,120 Speaker 2: on this position of like we need to block specifically 297 00:14:50,160 --> 00:14:54,480 Speaker 2: offensive weapons and very much a similar line to what 298 00:14:55,800 --> 00:14:59,720 Speaker 2: Slotkin was trying to peddle with us. So I think 299 00:14:59,760 --> 00:15:04,080 Speaker 2: there is a realization that when you have literally ninety 300 00:15:04,120 --> 00:15:07,120 Speaker 2: two percent of the Democratic base saying this is a 301 00:15:07,120 --> 00:15:09,320 Speaker 2: horror and it needs to stop and we are not 302 00:15:09,400 --> 00:15:11,240 Speaker 2: on board with this at all, when you have roughly 303 00:15:11,280 --> 00:15:14,920 Speaker 2: eighty percent that say this is a genocide, they have 304 00:15:15,040 --> 00:15:17,760 Speaker 2: realized that their position of just that we're with Israel, 305 00:15:17,840 --> 00:15:22,120 Speaker 2: it doesn't matter what they do has become completely politically. 306 00:15:21,560 --> 00:15:22,720 Speaker 3: Untenable from them. 307 00:15:22,840 --> 00:15:25,760 Speaker 2: But I don't think they realize yet that if you're 308 00:15:25,800 --> 00:15:30,520 Speaker 2: going to there's there's no like, you know, centrist position 309 00:15:30,560 --> 00:15:31,359 Speaker 2: on a genocide. 310 00:15:31,960 --> 00:15:34,600 Speaker 3: If you're going to get better, that's right. 311 00:15:34,720 --> 00:15:37,640 Speaker 5: Like two years from O twenty twenty six, twenty twenty eight, 312 00:15:38,040 --> 00:15:41,960 Speaker 5: I doubt Israel's popularity is going to be one to 313 00:15:42,000 --> 00:15:46,080 Speaker 5: eighty turned around, like yeah, it's only going to continue careering. 314 00:15:46,240 --> 00:15:47,080 Speaker 6: So that's right. 315 00:15:47,160 --> 00:15:50,160 Speaker 5: I mean, it is a it is a toxic, toxic 316 00:15:50,240 --> 00:15:52,840 Speaker 5: position that's only going to get more toxic. 317 00:15:53,320 --> 00:15:56,240 Speaker 2: And the liberal Zionists, sorry, Grevin, and I want your 318 00:15:56,280 --> 00:15:59,360 Speaker 2: reflection on that. The liberal Zionist position is not tenable anymore. 319 00:15:59,360 --> 00:16:01,680 Speaker 2: It's just not time. And you saw this in the debate. 320 00:16:01,840 --> 00:16:04,120 Speaker 2: Did you watch Meddi's debate with the J Street Street 321 00:16:04,160 --> 00:16:08,520 Speaker 2: dude over on Podshave, Yeah, And I mean he just 322 00:16:08,680 --> 00:16:10,280 Speaker 2: ate that guy a lot. I mean, Meddi is very 323 00:16:10,280 --> 00:16:12,040 Speaker 2: good debater, so I wouldn't want to go up against 324 00:16:12,080 --> 00:16:14,720 Speaker 2: him either. But the guy's like, oh, you're always trying 325 00:16:14,720 --> 00:16:16,360 Speaker 2: to see the J Street guys, like you're always trying 326 00:16:16,360 --> 00:16:18,040 Speaker 2: to see things in black and white, and many says, well, 327 00:16:18,040 --> 00:16:18,760 Speaker 2: it's a genocide. 328 00:16:18,760 --> 00:16:19,600 Speaker 3: It is black and white. 329 00:16:19,680 --> 00:16:23,320 Speaker 2: And for people care about this, like that's just that 330 00:16:23,480 --> 00:16:27,560 Speaker 2: is if it's a genocide, that's happening. There's a moral clarity, 331 00:16:27,600 --> 00:16:30,760 Speaker 2: there is a moral and tactical by the way responsibility, 332 00:16:30,880 --> 00:16:33,520 Speaker 2: especially for people in power. So there are attempts to 333 00:16:33,600 --> 00:16:38,840 Speaker 2: kind of like find some centristy abundance style positioning on 334 00:16:38,880 --> 00:16:42,240 Speaker 2: a genocide is not going to be seen as any 335 00:16:42,280 --> 00:16:45,640 Speaker 2: better truly than like a John Fetterman position. I mean, 336 00:16:45,640 --> 00:16:48,200 Speaker 2: Fetterman's position in some ways makes more sense. It's just 337 00:16:48,240 --> 00:16:50,960 Speaker 2: like I support the murder and I'm not here for 338 00:16:51,000 --> 00:16:51,720 Speaker 2: the murder, and I. 339 00:16:51,840 --> 00:16:52,520 Speaker 3: Let's just do it. 340 00:16:52,800 --> 00:16:54,720 Speaker 2: There's is like, oh, well, I don't like the murderer, 341 00:16:54,720 --> 00:16:56,400 Speaker 2: but I'm still going to send the murder of the weapons. 342 00:16:56,440 --> 00:16:57,800 Speaker 2: It's like that makes no sense. 343 00:16:58,160 --> 00:16:58,360 Speaker 6: Yeah. 344 00:16:58,400 --> 00:17:00,360 Speaker 5: And with that J Street guy in particular, or you know, 345 00:17:00,440 --> 00:17:03,080 Speaker 5: I mean, I thought he had like kind of agreeable 346 00:17:03,120 --> 00:17:04,800 Speaker 5: takes on like a lot of stuff. He was like 347 00:17:04,960 --> 00:17:08,320 Speaker 5: basically agreeing with Mehdi on like every point, but then 348 00:17:08,320 --> 00:17:11,520 Speaker 5: when it came to like declariny to genocide, he's like, ultimately, 349 00:17:11,880 --> 00:17:14,320 Speaker 5: it hurts my feelings, and that's why I don't call 350 00:17:14,320 --> 00:17:18,240 Speaker 5: it a genocide. And we're we're kind of we're past feelings. Sorry, 351 00:17:18,359 --> 00:17:23,480 Speaker 5: we're into facts now, we're Shapiro mode. And so I 352 00:17:23,600 --> 00:17:25,800 Speaker 5: just yeah, I don't see any of that stuff turning around. 353 00:17:26,960 --> 00:17:29,040 Speaker 5: I just wanted to know one thing Emily was asking 354 00:17:29,080 --> 00:17:31,760 Speaker 5: why slock And came on the show, and something outside 355 00:17:31,760 --> 00:17:33,439 Speaker 5: of sort of the clips that have gone out on 356 00:17:33,480 --> 00:17:36,600 Speaker 5: breaking Points that was interesting for me was that Slotkin's 357 00:17:36,680 --> 00:17:39,960 Speaker 5: sort of line about herself was I'm the youngest senator 358 00:17:40,560 --> 00:17:43,399 Speaker 5: of the Democrats, which is like this thing where like 359 00:17:43,400 --> 00:17:46,479 Speaker 5: they've been trying to recreate Zoron and they're like, well, 360 00:17:46,760 --> 00:17:47,159 Speaker 5: what is it? 361 00:17:47,200 --> 00:17:49,080 Speaker 6: What do people like about him? It's probably just that 362 00:17:49,119 --> 00:17:49,640 Speaker 6: he's young. 363 00:17:49,840 --> 00:17:52,879 Speaker 5: So as long as we keep everything else the same, 364 00:17:52,920 --> 00:17:55,240 Speaker 5: as long as we keep like kneeling for Israel, but 365 00:17:55,320 --> 00:17:58,399 Speaker 5: we just get younger people kneeling for Israel, well then. 366 00:17:58,280 --> 00:17:59,400 Speaker 6: That that'll be good. 367 00:17:59,600 --> 00:18:03,560 Speaker 5: And yeah, it's like comparatively like slot Kin is like young, 368 00:18:03,760 --> 00:18:06,639 Speaker 5: I guess comparatively to the rest of the Senate. But 369 00:18:06,720 --> 00:18:09,439 Speaker 5: I just don't think that is going to really you know, 370 00:18:10,080 --> 00:18:11,440 Speaker 5: I don't think that's gonna pass muster. 371 00:18:12,520 --> 00:18:13,760 Speaker 3: But you know, she's forty nine. 372 00:18:13,800 --> 00:18:17,720 Speaker 6: For the record, Okay, well listen, this is the Girl Show. 373 00:18:17,800 --> 00:18:20,879 Speaker 5: She looks great for her age that I wanted to 374 00:18:20,920 --> 00:18:22,720 Speaker 5: play slock In, but it's kind of boring. 375 00:18:22,840 --> 00:18:24,520 Speaker 6: So do we want to just go straight to Kamala. 376 00:18:25,760 --> 00:18:28,040 Speaker 3: Yeah, we've slot in for this week. 377 00:18:28,160 --> 00:18:31,440 Speaker 5: Yeah, come on, let's let's let's rinse her mouths. So, 378 00:18:31,640 --> 00:18:34,560 Speaker 5: Kamala Colbert is like the place to be right at 379 00:18:34,560 --> 00:18:36,440 Speaker 5: the end here, isn't it. It's like all of a sudden, 380 00:18:36,440 --> 00:18:39,280 Speaker 5: Colbert's back on the map. He's got Kamala. Kamala is 381 00:18:39,280 --> 00:18:42,560 Speaker 5: coming here on Colbert to explain why she has said 382 00:18:42,600 --> 00:18:44,920 Speaker 5: that she is not going to be running for the 383 00:18:45,119 --> 00:18:46,880 Speaker 5: California governor. 384 00:18:47,320 --> 00:18:49,080 Speaker 6: Let's take a listen it. 385 00:18:49,359 --> 00:18:51,720 Speaker 7: They're not running for the governor of California. 386 00:18:51,800 --> 00:18:54,600 Speaker 8: Correct, Even though in early Poland you'd beat every other 387 00:18:54,880 --> 00:18:58,480 Speaker 8: by double digits, you said you're gonna sit this one out. 388 00:18:59,040 --> 00:19:00,840 Speaker 7: Why are you saying the star you saving yourself for 389 00:19:00,960 --> 00:19:01,840 Speaker 7: a different office? 390 00:19:01,920 --> 00:19:12,280 Speaker 2: That uh cheering is so disturbing. They also cheered for 391 00:19:12,400 --> 00:19:15,560 Speaker 2: slot kids like CIA propaganda. 392 00:19:16,320 --> 00:19:20,440 Speaker 9: I am listen, I am a devout public servant. I 393 00:19:20,520 --> 00:19:24,800 Speaker 9: have spent my entire career in service of the people, 394 00:19:25,640 --> 00:19:29,080 Speaker 9: and I thought a lot about running for governor. I 395 00:19:29,119 --> 00:19:31,960 Speaker 9: love my state, I love California. I've served as just 396 00:19:32,080 --> 00:19:36,119 Speaker 9: elected district attorney, attorney general, and senator. But to be 397 00:19:36,280 --> 00:19:40,239 Speaker 9: very candid, with you. I am. You know, when I 398 00:19:40,320 --> 00:19:43,240 Speaker 9: was a young young in my career, I had to 399 00:19:43,320 --> 00:19:46,240 Speaker 9: defend my decision to become a prosecutor with my family. 400 00:19:47,680 --> 00:19:50,280 Speaker 9: And one of the points that I made is, why 401 00:19:50,400 --> 00:19:52,520 Speaker 9: is it then, when we think we want to improve 402 00:19:52,560 --> 00:19:53,400 Speaker 9: a system. 403 00:19:53,160 --> 00:19:55,920 Speaker 3: Or family also thinks on. 404 00:19:55,880 --> 00:19:58,360 Speaker 9: The outside, on bendedne or trying to break down the door. 405 00:19:59,320 --> 00:20:03,399 Speaker 9: Shouldn't we all so be inside the system? And that 406 00:20:03,480 --> 00:20:09,720 Speaker 9: has been my career, and recently I made the decision 407 00:20:09,800 --> 00:20:11,840 Speaker 9: that I just for now, I don't want to go 408 00:20:11,840 --> 00:20:16,040 Speaker 9: back in the system. I think it's broken. I think 409 00:20:16,080 --> 00:20:18,840 Speaker 9: it's there's so much I mean, there are so many good. 410 00:20:18,720 --> 00:20:23,080 Speaker 10: People who are publicized servants who do such good work, 411 00:20:23,240 --> 00:20:33,160 Speaker 10: teachers and firefighters and police officers and nurses and scientists, scientists, 412 00:20:34,240 --> 00:20:35,600 Speaker 10: and so it's not about them. 413 00:20:35,840 --> 00:20:43,320 Speaker 9: But you know, I believe, and I always believed that 414 00:20:43,600 --> 00:20:49,159 Speaker 9: as fragile as our democracy is, our systems would be 415 00:20:49,240 --> 00:20:54,600 Speaker 9: strong enough to defend our most fundamental principles. 416 00:20:55,680 --> 00:20:59,000 Speaker 7: And I think right now that they're. 417 00:20:58,760 --> 00:21:01,280 Speaker 9: Not as strong as they need to be. And I 418 00:21:01,320 --> 00:21:02,800 Speaker 9: just don't want to for now, I don't want to 419 00:21:02,800 --> 00:21:04,720 Speaker 9: go back in the system. I want to I want 420 00:21:04,760 --> 00:21:06,639 Speaker 9: to travel the country. I want to listen to people. 421 00:21:06,720 --> 00:21:09,240 Speaker 9: I want to talk with people, and I don't want 422 00:21:09,280 --> 00:21:11,840 Speaker 9: it to be transactional where I'm asking for their vote. 423 00:21:12,000 --> 00:21:15,040 Speaker 6: They don't want to write. 424 00:21:15,080 --> 00:21:18,840 Speaker 3: I want to talk to her. Come on, breaking Kamala. 425 00:21:19,880 --> 00:21:23,360 Speaker 5: He's selling a book. We will we will sell that book, Crystal. 426 00:21:23,480 --> 00:21:26,879 Speaker 5: Your immediate reaction. We haven't really talked abou Kamala almost 427 00:21:26,920 --> 00:21:29,199 Speaker 5: at all on the show since the election. This is 428 00:21:29,200 --> 00:21:31,960 Speaker 5: like one of her most public facing appearances. Yeah, what 429 00:21:32,000 --> 00:21:33,679 Speaker 5: was what's your take on what you just watched? 430 00:21:33,880 --> 00:21:35,760 Speaker 2: Well, I think what you just said is very revealing, 431 00:21:35,920 --> 00:21:37,919 Speaker 2: like as someone who's, oh my god, I've devoted my 432 00:21:37,960 --> 00:21:40,720 Speaker 2: life to public service, Like where have you been? There's 433 00:21:40,800 --> 00:21:43,160 Speaker 2: kind of a lot going on, you know, Like you 434 00:21:43,160 --> 00:21:43,800 Speaker 2: were warning that. 435 00:21:43,760 --> 00:21:44,680 Speaker 3: Trump is a fascist. 436 00:21:44,800 --> 00:21:47,280 Speaker 2: I agree, and he's behaving as a fascist and it's 437 00:21:47,320 --> 00:21:49,560 Speaker 2: been worse than any of us could have imagined. And 438 00:21:49,680 --> 00:21:52,280 Speaker 2: you've had nothing to say about that. Like you told 439 00:21:52,320 --> 00:21:54,560 Speaker 2: us that you were, you know, your heart was breaking 440 00:21:54,640 --> 00:21:56,800 Speaker 2: over what was happening in Gaza. Where have you been 441 00:21:57,080 --> 00:22:01,000 Speaker 2: to say even say anything about that? So, like, I mean, 442 00:22:01,080 --> 00:22:06,360 Speaker 2: she's she's so hollow. She's trying to follow the Obama 443 00:22:06,440 --> 00:22:10,000 Speaker 2: model of being like a brand. She doesn't have nearly 444 00:22:10,040 --> 00:22:13,800 Speaker 2: the like charisma or talent to pull that off remotely. 445 00:22:14,440 --> 00:22:18,359 Speaker 2: And you know, it's just it's just if she actually 446 00:22:18,440 --> 00:22:21,880 Speaker 2: thinks she has a shot in a presidential primary, let 447 00:22:21,920 --> 00:22:25,000 Speaker 2: alone a general election, this is the most delusional person 448 00:22:25,080 --> 00:22:27,160 Speaker 2: on the planet. But based on what she said there, 449 00:22:27,200 --> 00:22:30,160 Speaker 2: I think she does. I think she's been convinced. And 450 00:22:30,240 --> 00:22:32,560 Speaker 2: you know, the polls will come out and they'll show her, yeah, 451 00:22:32,600 --> 00:22:35,560 Speaker 2: with you know, leading the Democratic primary, which is very 452 00:22:35,560 --> 00:22:38,119 Speaker 2: disturbing to me, but we all know, the moment that 453 00:22:38,160 --> 00:22:40,760 Speaker 2: she's actually out there on a debate stage, people will 454 00:22:40,800 --> 00:22:43,480 Speaker 2: be reminded of why it is that they didn't vote 455 00:22:43,520 --> 00:22:45,280 Speaker 2: for her back when she ran in twenty twenty and 456 00:22:45,320 --> 00:22:48,080 Speaker 2: how she, you know, was part of losing in twenty 457 00:22:48,160 --> 00:22:49,919 Speaker 2: twenty four. And I don't lay all of that at 458 00:22:49,960 --> 00:22:52,359 Speaker 2: her feet, because I think there were she came in 459 00:22:52,440 --> 00:22:55,360 Speaker 2: with a lot of baggage. But she also gets responsibilities 460 00:22:55,400 --> 00:22:57,080 Speaker 2: since she was the one on the ticket and made 461 00:22:57,119 --> 00:23:00,879 Speaker 2: some really bad decisions, especially down the stretch. So I 462 00:23:01,359 --> 00:23:05,800 Speaker 2: what happens with these politicians is they have people around them. 463 00:23:06,840 --> 00:23:09,040 Speaker 2: Kamala is very much a person who puts herself in 464 00:23:09,080 --> 00:23:12,360 Speaker 2: a bubble she's very cautious, you know, she's very sort 465 00:23:12,400 --> 00:23:15,720 Speaker 2: of brittle in terms of taking criticism, and so she's 466 00:23:15,760 --> 00:23:18,199 Speaker 2: got people around to her who would profit off of 467 00:23:18,200 --> 00:23:19,080 Speaker 2: her running for president. 468 00:23:19,160 --> 00:23:20,680 Speaker 3: So they're pumping her up. Look at this poll. 469 00:23:20,720 --> 00:23:22,880 Speaker 2: Look they love you. Look at go on, Colbert, See 470 00:23:22,880 --> 00:23:25,119 Speaker 2: how the audience is cheering for you. They'll you know, 471 00:23:25,160 --> 00:23:27,080 Speaker 2: they'll be delighted to have you back in. Like, it's 472 00:23:27,200 --> 00:23:30,280 Speaker 2: just it's it's absurd. Kyle and I have a disagreement 473 00:23:30,359 --> 00:23:32,800 Speaker 2: on this. He's concerned that Kamala could actually do well 474 00:23:32,840 --> 00:23:33,440 Speaker 2: in a primary. 475 00:23:33,560 --> 00:23:34,120 Speaker 3: I just don't. 476 00:23:34,320 --> 00:23:36,600 Speaker 5: You're saying, don't trust the polls because we see her 477 00:23:36,760 --> 00:23:39,120 Speaker 5: name and maybe it's just name recognition. 478 00:23:39,200 --> 00:23:40,040 Speaker 3: Name recognition. 479 00:23:40,280 --> 00:23:40,960 Speaker 9: Yes it is. 480 00:23:41,680 --> 00:23:45,959 Speaker 2: She's I mean, there's just she there's a reason why 481 00:23:46,119 --> 00:23:50,160 Speaker 2: people rejected her the first time she ran. And even 482 00:23:50,200 --> 00:23:54,920 Speaker 2: putting every four while yes, that's right, and putting everything aside, 483 00:23:55,359 --> 00:23:58,199 Speaker 2: you think the Democratic electorate is going to put somebody 484 00:23:58,240 --> 00:24:00,960 Speaker 2: back up who's a proven loser. Like, if there's one 485 00:24:01,000 --> 00:24:02,879 Speaker 2: thing they're going to be desperate to do, it's going 486 00:24:02,920 --> 00:24:05,320 Speaker 2: to be to pick someone who could maybe actually win. 487 00:24:05,840 --> 00:24:09,199 Speaker 2: So I, you know, I don't think there's any way 488 00:24:09,320 --> 00:24:11,320 Speaker 2: that she would be able to secure the nomination. I 489 00:24:11,320 --> 00:24:13,840 Speaker 2: guess you never know, but for me, that's not really 490 00:24:13,920 --> 00:24:14,280 Speaker 2: a fear. 491 00:24:14,800 --> 00:24:15,040 Speaker 6: Well. 492 00:24:15,200 --> 00:24:18,240 Speaker 4: I also wanted to point out something that's a connection 493 00:24:18,280 --> 00:24:21,159 Speaker 4: between that Kamala Harrison interview and Delisa Slotkin interview and 494 00:24:21,200 --> 00:24:24,240 Speaker 4: Stephen Colbert, and actually even Slotkin coming on breaking points 495 00:24:24,280 --> 00:24:27,960 Speaker 4: and talking to different people. Kamala Harrish just said her 496 00:24:28,040 --> 00:24:32,800 Speaker 4: primary reason for not running for governor of California. I 497 00:24:32,800 --> 00:24:35,840 Speaker 4: think we can probably all agree it's likely that she 498 00:24:36,000 --> 00:24:39,439 Speaker 4: does want to run for president again. Based on that interview, 499 00:24:39,440 --> 00:24:43,240 Speaker 4: it sounded like campaigny, but she said it was because 500 00:24:43,240 --> 00:24:46,560 Speaker 4: she thinks the system is broken. And that sounds like 501 00:24:46,880 --> 00:24:52,439 Speaker 4: a tested, strategized talking point, and that is about to 502 00:24:52,440 --> 00:24:55,719 Speaker 4: be a very deeply cynical, I think, a very deeply 503 00:24:55,800 --> 00:24:59,439 Speaker 4: cynical strategy of the Democratic Establishment. They have picked up 504 00:24:59,720 --> 00:25:02,600 Speaker 4: on the mood of the party base. When you have 505 00:25:02,640 --> 00:25:06,439 Speaker 4: the fighting Oligarchy tour going into red states, drawing massive 506 00:25:06,480 --> 00:25:10,239 Speaker 4: crowds of as Dave Weigel said, normy Dems, not just 507 00:25:11,080 --> 00:25:16,480 Speaker 4: you know, sort of burnie people. But that's the Democratic establishment. 508 00:25:16,760 --> 00:25:19,720 Speaker 4: And I would just tell people right now, you're about 509 00:25:19,760 --> 00:25:22,160 Speaker 4: to hear this ad nauseam until twenty twenty eight. It's 510 00:25:22,440 --> 00:25:24,840 Speaker 4: how Trump took some voters away from the Democratic Party. 511 00:25:24,880 --> 00:25:28,480 Speaker 4: And it's obviously very very easy to say, but it's 512 00:25:28,600 --> 00:25:32,240 Speaker 4: from people like Kamala Harris and Alyssa Slotkin. They know 513 00:25:33,040 --> 00:25:35,240 Speaker 4: that's the mood of the country. That was their first step. 514 00:25:35,359 --> 00:25:38,000 Speaker 4: They didn't understand it. They didn't acknowledge it. First step 515 00:25:38,040 --> 00:25:40,199 Speaker 4: is admitting you had a problem. They've been failing that 516 00:25:40,440 --> 00:25:43,399 Speaker 4: for a decade now, and they're about to adopt a 517 00:25:43,440 --> 00:25:49,600 Speaker 4: deeply cynical strategy of using that to try and I 518 00:25:49,600 --> 00:25:53,440 Speaker 4: guess sway people back to these moderate candidates. 519 00:25:53,560 --> 00:25:53,840 Speaker 6: Yeah. 520 00:25:54,080 --> 00:25:57,119 Speaker 2: Well, and because Griffin, it's like, oh, the system's broken 521 00:25:57,280 --> 00:25:58,960 Speaker 2: or the institutions weren't strong enough. 522 00:25:59,000 --> 00:26:03,280 Speaker 3: It's like, lady, you were president, so you know. That's 523 00:26:03,320 --> 00:26:03,560 Speaker 3: the thing. 524 00:26:03,760 --> 00:26:06,440 Speaker 2: That's what annoys me, maybe more than anything, is when 525 00:26:06,440 --> 00:26:09,359 Speaker 2: they act like they are powerless or were powerless. Jeez, 526 00:26:09,359 --> 00:26:12,200 Speaker 2: I wish someone with some power had bolstered our institutions. 527 00:26:12,240 --> 00:26:14,159 Speaker 2: That seemed like a good thing to do while you 528 00:26:14,200 --> 00:26:16,880 Speaker 2: were literally vice president of the United States for four years. 529 00:26:17,240 --> 00:26:20,120 Speaker 5: Yeah, I mean it was such a botched explanation too. 530 00:26:20,359 --> 00:26:23,600 Speaker 5: She was like, well, I worked in the system, but 531 00:26:23,640 --> 00:26:25,440 Speaker 5: now I don't want to be in the system because 532 00:26:25,440 --> 00:26:27,719 Speaker 5: the system is broken. Like she's like I argue with 533 00:26:27,720 --> 00:26:30,119 Speaker 5: my mom and dad about being a CA Like it 534 00:26:30,160 --> 00:26:31,920 Speaker 5: was just it was kind of all over the place, 535 00:26:31,960 --> 00:26:33,600 Speaker 5: and it reminded me because we haven't watched her in 536 00:26:33,680 --> 00:26:36,560 Speaker 5: so long. Like every time I'm like gets asked a question, 537 00:26:36,840 --> 00:26:40,439 Speaker 5: it's like she had never expected the question before. Like 538 00:26:40,480 --> 00:26:43,679 Speaker 5: she's like totally improv one oh one right, like just 539 00:26:43,720 --> 00:26:45,920 Speaker 5: trying to figure it out. It's like, this is the 540 00:26:45,960 --> 00:26:48,359 Speaker 5: most basic question you're going to get asked, why aren't 541 00:26:48,400 --> 00:26:50,960 Speaker 5: you running for governor? And what are you doing right now? 542 00:26:51,160 --> 00:26:53,760 Speaker 5: And it takes her four minutes of word vomit to 543 00:26:53,840 --> 00:26:58,200 Speaker 5: just kind of like just give the most like unconstructed 544 00:26:58,240 --> 00:27:02,480 Speaker 5: anti establishment. You know, we're going outside the established dent 545 00:27:02,680 --> 00:27:04,840 Speaker 5: of all time. And so it's like, but yeah, they 546 00:27:04,880 --> 00:27:06,639 Speaker 5: can say that to Emily if they're gonna run on 547 00:27:06,680 --> 00:27:08,919 Speaker 5: that twenty twenty six, twenty eight, But what's it gonna be, 548 00:27:09,000 --> 00:27:12,040 Speaker 5: like just a five percent tax credit if you're a 549 00:27:12,080 --> 00:27:15,320 Speaker 5: local business who's been in college and just graduated grad 550 00:27:15,359 --> 00:27:19,160 Speaker 5: school for POC businesses, Like, is that the anti establishment thing? 551 00:27:19,160 --> 00:27:21,680 Speaker 5: Like there's gonna be nothing else outside of like these 552 00:27:21,760 --> 00:27:24,320 Speaker 5: kind of just airy, garbled statements. 553 00:27:25,400 --> 00:27:27,760 Speaker 2: So it's gonna be it's gonna be more like, oh, 554 00:27:27,840 --> 00:27:29,760 Speaker 2: let's edit our videos like Zoran does. 555 00:27:30,040 --> 00:27:34,040 Speaker 4: That's exact, you know, it's completely stylistic. 556 00:27:34,160 --> 00:27:36,600 Speaker 2: Yeah, yeah, So do you guys see this, This like 557 00:27:36,760 --> 00:27:40,679 Speaker 2: abundance centrist guy who's running with Reid Hoffman money in 558 00:27:40,680 --> 00:27:44,119 Speaker 2: New York City against Jerry Nadler. And he's doing like 559 00:27:44,160 --> 00:27:47,440 Speaker 2: the Zoron like cuts and like even sort of stylistically, 560 00:27:47,480 --> 00:27:50,080 Speaker 2: like his font looks a little Zorani and then his 561 00:27:50,280 --> 00:27:52,920 Speaker 2: politics are just like the literal polar opposite and he's 562 00:27:53,000 --> 00:27:56,120 Speaker 2: challenging Jerry Nadler from the right, and his whole pitch 563 00:27:56,160 --> 00:28:00,480 Speaker 2: is just like I'm young and I've got cool videos. 564 00:28:00,720 --> 00:28:03,440 Speaker 2: You like me, right, I'm like the next Zoran. It's 565 00:28:03,480 --> 00:28:07,520 Speaker 2: it's so cynical and it's and everyone sees immediately through it. 566 00:28:07,520 --> 00:28:09,160 Speaker 2: It's the same thing with the peak clip that we 567 00:28:09,480 --> 00:28:12,080 Speaker 2: Emily you and I popped where he's like, I think 568 00:28:12,080 --> 00:28:14,800 Speaker 2: the key to Zoran wasn't really about his ideology. 569 00:28:15,119 --> 00:28:19,840 Speaker 6: It was you know, it's right. 570 00:28:20,280 --> 00:28:22,480 Speaker 2: I mean, that's and that's part of why Sluckin came 571 00:28:22,520 --> 00:28:24,120 Speaker 2: on breaking points, like to bring it back to that 572 00:28:24,359 --> 00:28:26,199 Speaker 2: it's because that's the sort of lessons they took, is 573 00:28:26,320 --> 00:28:28,600 Speaker 2: just like we need to go on podcasts, we need 574 00:28:28,640 --> 00:28:31,480 Speaker 2: to edit videos differently, like we need to smile more, 575 00:28:31,520 --> 00:28:33,840 Speaker 2: like just the most surface level stuff. And it's like, no, 576 00:28:34,000 --> 00:28:36,119 Speaker 2: people like this guy because they see that he actually 577 00:28:36,160 --> 00:28:39,000 Speaker 2: stands for something, and in particular, one thing he stands 578 00:28:39,000 --> 00:28:42,280 Speaker 2: for is like adamantly opposing a genocide even as everyone 579 00:28:42,360 --> 00:28:44,760 Speaker 2: is like smearing him as being an anti Zemite for 580 00:28:45,080 --> 00:28:49,080 Speaker 2: doing that. So yeah, they, I mean, they just they 581 00:28:49,160 --> 00:28:53,040 Speaker 2: want to take all of the the visual grammar of 582 00:28:53,080 --> 00:28:55,840 Speaker 2: an anti establishment and maybe some of the like surface 583 00:28:55,920 --> 00:28:59,200 Speaker 2: level rhetoric and then offer to your point Griffin, like 584 00:28:59,640 --> 00:29:01,920 Speaker 2: tax credits for people who make less than twenty five 585 00:29:01,960 --> 00:29:06,560 Speaker 2: thousand dollars in certain disadvantaged neighborhoods. 586 00:29:06,560 --> 00:29:10,959 Speaker 5: Got free books, Zorn's, Got free buses, Kamala's Got fire 587 00:29:11,080 --> 00:29:15,120 Speaker 5: buses with a monthly subscription service. Yeah, like this kind 588 00:29:15,120 --> 00:29:17,320 Speaker 5: of leads to what she's selling here, which is her 589 00:29:17,360 --> 00:29:21,800 Speaker 5: new book, one hundred and seven Days. 590 00:29:21,080 --> 00:29:22,760 Speaker 3: Who wants to read this? 591 00:29:23,680 --> 00:29:26,800 Speaker 5: And oh is this for and for people just listening 592 00:29:26,840 --> 00:29:31,720 Speaker 5: on a podcast? So the cover it says one hundred 593 00:29:31,720 --> 00:29:33,720 Speaker 5: and seven Days. It looks a lot kind of like 594 00:29:33,800 --> 00:29:36,479 Speaker 5: an airport book. I mean, I don't do this kind 595 00:29:36,520 --> 00:29:38,320 Speaker 5: of just like struck me before we played the video, 596 00:29:38,440 --> 00:29:43,120 Speaker 5: but like after two years of Israel Palestine, looking at 597 00:29:43,120 --> 00:29:46,560 Speaker 5: the numbers ten to seven on a book like just 598 00:29:46,640 --> 00:29:47,000 Speaker 5: kind of. 599 00:29:46,960 --> 00:29:47,840 Speaker 6: Like threw me off. 600 00:29:48,080 --> 00:29:49,520 Speaker 3: I didn't even pick up on that. 601 00:29:49,840 --> 00:29:52,520 Speaker 6: I don't know. That's that's just what I saw right 602 00:29:52,520 --> 00:29:54,200 Speaker 6: off the gate. Here. But let's hear what she has 603 00:29:54,200 --> 00:29:55,520 Speaker 6: to say about the book here go. 604 00:29:55,720 --> 00:29:58,640 Speaker 11: I launched my campaign for president of the United States 605 00:29:58,880 --> 00:30:03,520 Speaker 11: one hundred and seven, traveling the country fighting for our future. 606 00:30:04,280 --> 00:30:09,080 Speaker 11: The shortest presidential campaign in modern history. It was intense, 607 00:30:09,600 --> 00:30:14,040 Speaker 11: high stakes, and deeply personal for me and for so 608 00:30:14,200 --> 00:30:18,120 Speaker 11: many of you. Since leaving office, I've spent a lot 609 00:30:18,160 --> 00:30:21,880 Speaker 11: of time reflecting on those days, talking with my team, 610 00:30:22,000 --> 00:30:26,800 Speaker 11: my family, my friends, and pulling my thoughts together, in essence, 611 00:30:27,160 --> 00:30:31,040 Speaker 11: writing a journal that is this book one hundred and 612 00:30:31,080 --> 00:30:35,800 Speaker 11: seven Days with candor and reflection, I've written a behind 613 00:30:35,840 --> 00:30:39,800 Speaker 11: the scenes account of that journey. I believe there's value 614 00:30:39,880 --> 00:30:43,240 Speaker 11: in sharing what I saw, what I learned, and what 615 00:30:43,320 --> 00:30:46,520 Speaker 11: I know it will take to move forward. 616 00:30:46,640 --> 00:30:48,160 Speaker 6: All right, So that's basically it. 617 00:30:48,240 --> 00:30:51,560 Speaker 5: And this like this comes in the context of that 618 00:30:51,840 --> 00:30:55,800 Speaker 5: Jake Tapper book about Biden's decline that was like a 619 00:30:55,880 --> 00:30:57,320 Speaker 5: huge bestseller. 620 00:30:57,600 --> 00:30:59,479 Speaker 6: Do we think that there's going to even be a 621 00:30:59,560 --> 00:31:01,560 Speaker 6: pay on that in this book? 622 00:31:01,720 --> 00:31:06,120 Speaker 5: Because that would be the only thing to get kickstar 623 00:31:06,440 --> 00:31:10,600 Speaker 5: Kamala for twenty twenty eight is to completely throw Biden 624 00:31:10,720 --> 00:31:13,320 Speaker 5: under the bus. And honestly, that was the only moment 625 00:31:13,360 --> 00:31:15,920 Speaker 5: where she popped in the primaries, when she threw Biden 626 00:31:16,000 --> 00:31:21,560 Speaker 5: under the bus on busing, So true, is any of 627 00:31:21,600 --> 00:31:23,080 Speaker 5: that going to be in this book? Is there even 628 00:31:23,080 --> 00:31:24,480 Speaker 5: going to be a page? What's your prediction? 629 00:31:25,280 --> 00:31:26,440 Speaker 3: No? 630 00:31:26,440 --> 00:31:30,880 Speaker 2: No, I mean even okay, she may make some vague 631 00:31:30,960 --> 00:31:33,640 Speaker 2: allusion to it, But that's the reason I. 632 00:31:33,520 --> 00:31:34,600 Speaker 3: Say, who is this book for? 633 00:31:35,320 --> 00:31:37,600 Speaker 2: Because it's not like you could think that this woman 634 00:31:37,680 --> 00:31:39,440 Speaker 2: is going to like actually tell you the truth. She's 635 00:31:39,480 --> 00:31:42,880 Speaker 2: going to give you her like propagandized version of what happened. 636 00:31:43,440 --> 00:31:46,920 Speaker 2: And so if you're a Republican, you're certainly not interested 637 00:31:46,960 --> 00:31:48,680 Speaker 2: in that. If you're a Democrat, I don't think any 638 00:31:48,680 --> 00:31:52,360 Speaker 2: Democrats really want to relive that election and what happens, 639 00:31:52,440 --> 00:31:55,920 Speaker 2: and you know, the ultimate loss plus is just not 640 00:31:56,000 --> 00:31:59,040 Speaker 2: going to be honest. So no, I mean it's just 641 00:31:59,080 --> 00:32:01,440 Speaker 2: an excuse for her to travel the country and do 642 00:32:01,560 --> 00:32:06,040 Speaker 2: her book tour and you know, imagine that she could 643 00:32:06,080 --> 00:32:07,320 Speaker 2: be president of the United States. 644 00:32:07,760 --> 00:32:10,800 Speaker 4: Ye has some soft image we had before anything happens 645 00:32:10,800 --> 00:32:13,160 Speaker 4: in the cycle. I mean, that's what publicists tell you 646 00:32:13,240 --> 00:32:15,280 Speaker 4: to do. And so who's this book for. Probably the 647 00:32:15,280 --> 00:32:17,320 Speaker 4: publisher who will make money when she goes and gives 648 00:32:17,320 --> 00:32:20,320 Speaker 4: paid speeches where they buy the book, and it's an 649 00:32:20,320 --> 00:32:23,000 Speaker 4: excuse then also go on a speaking tour, an immediate tour, 650 00:32:23,880 --> 00:32:26,520 Speaker 4: and I'm sure she got a decent advance for it. 651 00:32:26,600 --> 00:32:29,360 Speaker 4: So that's I'm sure that's what it's about. 652 00:32:29,400 --> 00:32:29,600 Speaker 6: Now. 653 00:32:30,120 --> 00:32:32,760 Speaker 4: I would be surprised if there wasn't, to Crystal's point, 654 00:32:32,840 --> 00:32:37,920 Speaker 4: some vague illusion to Biden's issues in the book, just 655 00:32:38,160 --> 00:32:42,040 Speaker 4: because even again from the cynical perspective, it's so obvious 656 00:32:42,120 --> 00:32:45,040 Speaker 4: that people are mad about it and curious about it 657 00:32:45,080 --> 00:32:47,200 Speaker 4: and all of that. So, but I don't think it 658 00:32:47,240 --> 00:32:53,360 Speaker 4: goes beyond something that's like typical Kamala Harris canned predictable 659 00:32:53,600 --> 00:32:56,200 Speaker 4: and you learn basically nothing. It's the opposite of the 660 00:32:56,240 --> 00:32:58,600 Speaker 4: candor that she's promising in that clip. I've never seen 661 00:32:58,640 --> 00:33:01,560 Speaker 4: Kamala Harris be candid once in my life. 662 00:33:02,960 --> 00:33:03,560 Speaker 6: About food. 663 00:33:04,200 --> 00:33:07,240 Speaker 3: That's what I was gonna say. She loves cooking. 664 00:33:07,480 --> 00:33:11,040 Speaker 2: That's what I see her, like authentically in her joy 665 00:33:11,120 --> 00:33:13,320 Speaker 2: like doing the thing, and she's in her element. 666 00:33:13,360 --> 00:33:16,160 Speaker 3: I'm like, just go like started cooking YouTube. 667 00:33:16,000 --> 00:33:20,880 Speaker 4: Like female vice president to go back to the kitchen. 668 00:33:23,480 --> 00:33:23,720 Speaker 3: Listen. 669 00:33:23,800 --> 00:33:25,920 Speaker 2: It's part of vibe shift, part of my new you know, 670 00:33:26,040 --> 00:33:27,680 Speaker 2: part of being anti woke. I have to make up 671 00:33:27,720 --> 00:33:30,440 Speaker 2: for my take on Sidney Sweeney earlier this week. 672 00:33:30,560 --> 00:33:32,000 Speaker 3: So that's where what I'm here for. 673 00:33:33,560 --> 00:33:34,400 Speaker 6: It's amazing. 674 00:33:38,320 --> 00:33:40,040 Speaker 2: All right, Well, I think we have I think we 675 00:33:40,080 --> 00:33:44,640 Speaker 2: have our doctor standing by, So why don't we go ahead? Yeah, 676 00:33:44,640 --> 00:33:45,920 Speaker 2: why don't we go ahead and bring her in? 677 00:33:46,000 --> 00:33:51,160 Speaker 5: Griffin Absolutely, we are joined right now with doctor Amberine Salimi. 678 00:33:51,320 --> 00:33:56,640 Speaker 5: She's a Brooklyn based eurocologist. So sorry to bumble that 679 00:33:56,720 --> 00:34:00,280 Speaker 5: one an executive director for International Medical Response. We usually 680 00:34:00,320 --> 00:34:04,160 Speaker 5: returned home from volunteering at Nasier Hospital in Gaza, where 681 00:34:04,200 --> 00:34:06,920 Speaker 5: she was stationed for approximately three and a half weeks. 682 00:34:06,960 --> 00:34:08,480 Speaker 6: Doctor. Welcome to the show. 683 00:34:08,520 --> 00:34:08,840 Speaker 8: Thank you. 684 00:34:08,920 --> 00:34:09,799 Speaker 7: It's great to be here. 685 00:34:11,320 --> 00:34:14,399 Speaker 2: Yeah, of course, so thank you not only for being 686 00:34:14,480 --> 00:34:15,920 Speaker 2: with us, thank you for the work that you were 687 00:34:15,920 --> 00:34:19,799 Speaker 2: doing in Gaza. We actually just talked to a whistleblower 688 00:34:19,840 --> 00:34:22,600 Speaker 2: as a former Green Beret who was working at one 689 00:34:22,600 --> 00:34:24,640 Speaker 2: of these quote unquote a eight distribution sites, and he 690 00:34:24,719 --> 00:34:27,279 Speaker 2: was actually telling us how a lot of the you know, 691 00:34:27,320 --> 00:34:29,560 Speaker 2: the people who were being massacred then they would be 692 00:34:29,600 --> 00:34:33,360 Speaker 2: brought to NASA Hospital where you were working. So I 693 00:34:33,400 --> 00:34:35,280 Speaker 2: was wondering if you could talk a little bit about 694 00:34:35,400 --> 00:34:37,480 Speaker 2: what you saw, what type of injuries were coming in. 695 00:34:37,719 --> 00:34:41,799 Speaker 8: Sure, we were I think one of the closest hospitals 696 00:34:41,880 --> 00:34:46,440 Speaker 8: in southern Gaza to the major GHF site that was 697 00:34:47,080 --> 00:34:53,040 Speaker 8: in the south, So it was almost like clockwork the 698 00:34:53,280 --> 00:34:55,759 Speaker 8: mass casualty events that would come in through the er 699 00:34:56,400 --> 00:35:02,440 Speaker 8: at any point during every single day. Once the GHF 700 00:35:02,560 --> 00:35:06,640 Speaker 8: site would open up a few hours later, there would 701 00:35:06,719 --> 00:35:11,280 Speaker 8: just be hundreds of people brought in with gunshot wounds 702 00:35:12,080 --> 00:35:16,719 Speaker 8: and it would range anywhere from kids to you know, 703 00:35:16,800 --> 00:35:22,880 Speaker 8: adults and older people. It would be mostly men and 704 00:35:23,000 --> 00:35:27,399 Speaker 8: boys because these were the you know, people who could 705 00:35:27,480 --> 00:35:32,239 Speaker 8: go and possibly get food, walk back the many many 706 00:35:32,320 --> 00:35:36,680 Speaker 8: kilometers with you know, a twenty five pound bag of flour. 707 00:35:37,960 --> 00:35:41,799 Speaker 8: But you could tell immediately that people were coming from 708 00:35:41,800 --> 00:35:46,000 Speaker 8: the GHF site because the er would just be full 709 00:35:47,480 --> 00:35:52,160 Speaker 8: beyond capacity. And when I say er capacity, it's not 710 00:35:52,239 --> 00:35:57,520 Speaker 8: like beds. Its floor space, any space available, because it 711 00:35:57,640 --> 00:36:01,319 Speaker 8: was you know, well over the number of beds, just 712 00:36:01,440 --> 00:36:02,960 Speaker 8: any floor space available. 713 00:36:03,120 --> 00:36:05,400 Speaker 7: Families would bring their less ones. 714 00:36:05,400 --> 00:36:09,000 Speaker 8: Or rescue workers or whoever happened to be there, and 715 00:36:09,040 --> 00:36:12,160 Speaker 8: it would be on donkey parts, it would be an ambulances, 716 00:36:12,280 --> 00:36:15,520 Speaker 8: it would be on blankets held between two other people, 717 00:36:16,239 --> 00:36:17,719 Speaker 8: just to get somebody into the er. 718 00:36:19,200 --> 00:36:21,040 Speaker 7: So it was pretty talk to us. 719 00:36:22,360 --> 00:36:26,040 Speaker 4: Can you also talk to us about treating malnutrition or 720 00:36:26,080 --> 00:36:30,440 Speaker 4: what you saw people coming in with famine conditions, starvation? 721 00:36:31,480 --> 00:36:33,560 Speaker 4: How much of that did you see as well? 722 00:36:34,200 --> 00:36:36,200 Speaker 8: So I just wanted to, first of all, just point 723 00:36:36,200 --> 00:36:39,040 Speaker 8: out that I went with an organization called Batamol, which 724 00:36:39,080 --> 00:36:43,000 Speaker 8: is a US based organization out of Texas. Very few 725 00:36:43,120 --> 00:36:47,560 Speaker 8: organizations are given permission by the Israelis to actually enter Gaza, 726 00:36:48,080 --> 00:36:51,360 Speaker 8: and I think a remarkable number of people are rejected 727 00:36:51,719 --> 00:36:54,160 Speaker 8: with no reason given. So that was just one thing 728 00:36:54,200 --> 00:36:55,680 Speaker 8: I wanted to clear up. The other one was that 729 00:36:55,719 --> 00:36:59,480 Speaker 8: I spent most of my mornings and days in the 730 00:36:59,520 --> 00:37:04,520 Speaker 8: maternity hospital, so I had and not many volunteers are 731 00:37:04,560 --> 00:37:09,240 Speaker 8: led in to go work as Obgan's and eurogenecologists because 732 00:37:09,560 --> 00:37:16,200 Speaker 8: obviously trauma orthopedics burns are more needed. But I felt 733 00:37:16,200 --> 00:37:18,920 Speaker 8: really privileged to be able to work in the maternity 734 00:37:18,960 --> 00:37:21,920 Speaker 8: hospital with amazing colleagues and also helped take care of 735 00:37:22,320 --> 00:37:24,479 Speaker 8: pregnant women, but also women who came in. 736 00:37:24,400 --> 00:37:25,840 Speaker 7: With gynecologic conditions. 737 00:37:26,440 --> 00:37:30,560 Speaker 8: And everybody who came in showed some form of malnutrition. 738 00:37:30,960 --> 00:37:33,520 Speaker 8: And I mean from the patients that came in that 739 00:37:33,560 --> 00:37:36,880 Speaker 8: were pregnant, from our gynecologic patients that came in with 740 00:37:36,960 --> 00:37:41,360 Speaker 8: chronic conditions that hadn't been treated for years, to the 741 00:37:41,400 --> 00:37:44,799 Speaker 8: babies that were born to women who were malnourished came 742 00:37:44,840 --> 00:37:49,960 Speaker 8: out obviously much smaller than expected. And also the healthcare 743 00:37:50,000 --> 00:37:53,840 Speaker 8: workers like my colleagues, my obgyan colleagues, the nurses and 744 00:37:53,960 --> 00:38:00,400 Speaker 8: all the staff anesthesia would show pictures from before times 745 00:38:00,680 --> 00:38:05,799 Speaker 8: before the siege of what they looked like, and you 746 00:38:05,840 --> 00:38:09,200 Speaker 8: could tell immediately that there was a massive amount of waste, 747 00:38:09,600 --> 00:38:12,560 Speaker 8: weight loss, and also just that you could see bones 748 00:38:12,560 --> 00:38:17,759 Speaker 8: that in normal healthy individuals we don't see. So the 749 00:38:17,920 --> 00:38:23,320 Speaker 8: malnutrition and the effect of the acute blockade which started 750 00:38:23,360 --> 00:38:27,520 Speaker 8: in March, where Israel did not let any food in 751 00:38:27,880 --> 00:38:32,759 Speaker 8: or supplies to a more chronic condition over even before 752 00:38:32,840 --> 00:38:36,319 Speaker 8: October twenty twenty three, there was always limited amount of 753 00:38:36,520 --> 00:38:40,520 Speaker 8: aid that would come in for about twenty years. So 754 00:38:40,560 --> 00:38:43,840 Speaker 8: you're seeing sort of this siege which is the last 755 00:38:43,840 --> 00:38:48,040 Speaker 8: few months now, on top of chronic malnourishment. 756 00:38:48,239 --> 00:38:49,400 Speaker 7: And this is what we saw. 757 00:38:49,480 --> 00:38:52,360 Speaker 8: And I think the pictures that people are seeing now 758 00:38:52,760 --> 00:38:55,160 Speaker 8: which we saw in person, again, I can just speak 759 00:38:55,200 --> 00:39:01,359 Speaker 8: to my experience. Was you know, it was just it 760 00:39:01,400 --> 00:39:03,759 Speaker 8: was very remarkable. It was very remarkable. 761 00:39:05,040 --> 00:39:06,319 Speaker 3: How long were you in Gaza, doctor? 762 00:39:06,480 --> 00:39:09,279 Speaker 8: I was there just short of four months. I was 763 00:39:09,280 --> 00:39:12,360 Speaker 8: supposed to leave, I'm sorry, for four weeks. I was 764 00:39:12,360 --> 00:39:15,600 Speaker 8: supposed to leave it the three week mark, and we 765 00:39:16,160 --> 00:39:20,440 Speaker 8: because of safety concerns, actually our exit was was canceled, 766 00:39:21,000 --> 00:39:22,200 Speaker 8: which was a little concerned. 767 00:39:23,880 --> 00:39:26,319 Speaker 2: Yeah, I would, I'm sure it was. I know you're 768 00:39:26,360 --> 00:39:28,719 Speaker 2: not here to complain about your own discomfort, but I 769 00:39:28,800 --> 00:39:32,000 Speaker 2: am curious, you know, what about were you able to 770 00:39:32,000 --> 00:39:35,160 Speaker 2: to eat, have sufficient meals nutrition, because we also are 771 00:39:35,200 --> 00:39:38,080 Speaker 2: seeing reports of medical workers who are fainting and collapsing 772 00:39:38,400 --> 00:39:41,320 Speaker 2: and dizzy making rounds and trying to treat patients. 773 00:39:41,520 --> 00:39:43,719 Speaker 4: And I was just that your own safety. Did you 774 00:39:43,760 --> 00:39:47,600 Speaker 4: feel as though you know, somebody who's treating people you 775 00:39:47,640 --> 00:39:48,280 Speaker 4: were safe? 776 00:39:50,400 --> 00:39:53,160 Speaker 8: Well, okay, let me answer the first questions. As volunteer 777 00:39:53,200 --> 00:39:56,719 Speaker 8: doctors who were there for a very limited time, we 778 00:39:56,760 --> 00:40:01,000 Speaker 8: were allowed and actually told to bring in and food 779 00:40:01,120 --> 00:40:05,440 Speaker 8: if we wanted to for ourselves, but nothing more because 780 00:40:05,680 --> 00:40:08,839 Speaker 8: at the border everything was scrutinized and looked at, and 781 00:40:08,880 --> 00:40:11,200 Speaker 8: if it looked like you were bringing in I'm sure 782 00:40:11,239 --> 00:40:14,359 Speaker 8: you've heard stories of baby formula that was taken away, 783 00:40:14,520 --> 00:40:18,799 Speaker 8: extra baby formula that was not allowed. So people who 784 00:40:19,520 --> 00:40:24,920 Speaker 8: like in my situation, we were taken care of because 785 00:40:24,920 --> 00:40:27,600 Speaker 8: we brought in our own, our own food for a 786 00:40:27,640 --> 00:40:30,040 Speaker 8: time the time needed. But what we did see was 787 00:40:30,160 --> 00:40:33,520 Speaker 8: all our colleagues and the staff in the hospital, including patients, 788 00:40:34,719 --> 00:40:37,720 Speaker 8: got maybe one meal a day. And right before I left, 789 00:40:37,760 --> 00:40:40,759 Speaker 8: about a week before I left, World Central Kitchen, which 790 00:40:40,800 --> 00:40:43,320 Speaker 8: was supplying a lot of the hospitals, ran out of food, 791 00:40:44,280 --> 00:40:47,520 Speaker 8: so that one meal would also be like just a 792 00:40:47,560 --> 00:40:50,280 Speaker 8: small bowl of rice, you know, with maybe some lentils 793 00:40:50,280 --> 00:40:54,279 Speaker 8: in it or some combination of that, and then that 794 00:40:54,320 --> 00:40:58,520 Speaker 8: would be it. And then physicians and nurses again there 795 00:40:58,600 --> 00:41:02,239 Speaker 8: was there's no really great supply of clean water, so 796 00:41:02,320 --> 00:41:06,399 Speaker 8: people are dehydrated, and absolutely we would need to put 797 00:41:06,440 --> 00:41:10,080 Speaker 8: in ivs to hydrate people so that they could continue 798 00:41:10,200 --> 00:41:12,520 Speaker 8: doing the work of taking care of others. 799 00:41:13,360 --> 00:41:15,879 Speaker 7: But everybody did speak about. 800 00:41:15,560 --> 00:41:18,239 Speaker 8: How hungry they were and how hard it was to 801 00:41:18,239 --> 00:41:19,000 Speaker 8: find food. 802 00:41:19,040 --> 00:41:21,320 Speaker 7: That was a daily conversation that was happening. 803 00:41:22,600 --> 00:41:24,720 Speaker 5: I wanted to ask you about what you said about, 804 00:41:25,239 --> 00:41:28,240 Speaker 5: you know, one hundred people a day coming in Shot, 805 00:41:28,880 --> 00:41:32,360 Speaker 5: coming in from these GHF AID sites. Now like one 806 00:41:32,440 --> 00:41:36,080 Speaker 5: hundred people coming in shot to a hospital in America 807 00:41:36,239 --> 00:41:39,440 Speaker 5: would overwhelm it with their modern resources, with all the 808 00:41:39,480 --> 00:41:43,359 Speaker 5: doctors being fully fed. What does that look like for 809 00:41:43,680 --> 00:41:45,959 Speaker 5: a hospital? Like, what is one hundred people coming in shot? 810 00:41:46,040 --> 00:41:48,879 Speaker 5: How many are you even able to treat or save 811 00:41:48,960 --> 00:41:50,960 Speaker 5: in those moments? And then kind of a part two 812 00:41:51,000 --> 00:41:53,600 Speaker 5: of my question is you know, we had a recent 813 00:41:53,840 --> 00:41:58,200 Speaker 5: whistleblower who worked at the GHF AID sites on what 814 00:41:58,360 --> 00:42:02,359 Speaker 5: is your impression of the g h F and their 815 00:42:02,440 --> 00:42:03,120 Speaker 5: aid delivery? 816 00:42:05,440 --> 00:42:08,279 Speaker 8: So one the impression I can make from what I 817 00:42:08,320 --> 00:42:11,879 Speaker 8: saw and talking to my surgical colleagues who I would 818 00:42:11,960 --> 00:42:14,560 Speaker 8: join after maternity in the afternoon, I would go to 819 00:42:14,600 --> 00:42:18,800 Speaker 8: the general o RS and help where I could. And again, 820 00:42:18,840 --> 00:42:23,520 Speaker 8: we all lived collectively, so conversations were constantly going on 821 00:42:23,600 --> 00:42:26,920 Speaker 8: about what came in through the er, what the pattern 822 00:42:27,120 --> 00:42:30,719 Speaker 8: was that we saw from the g h F, And 823 00:42:30,880 --> 00:42:35,000 Speaker 8: there was a clear pattern of you know, shooting. 824 00:42:34,520 --> 00:42:36,360 Speaker 7: That looked like it was target practice. 825 00:42:36,400 --> 00:42:38,840 Speaker 8: I mean this week. They have documented in the e 826 00:42:39,040 --> 00:42:42,840 Speaker 8: RS and the o RS when they wrote their notes 827 00:42:42,960 --> 00:42:46,600 Speaker 8: that one day it would be you know, Torso's, one 828 00:42:47,080 --> 00:42:50,560 Speaker 8: other day it would be Legs. Another time there was 829 00:42:50,600 --> 00:42:54,000 Speaker 8: a string of you know, genital shots that would would 830 00:42:54,000 --> 00:42:56,880 Speaker 8: come in through the er. And I think that to 831 00:42:57,040 --> 00:43:02,200 Speaker 8: try to see two million people that are starving with 832 00:43:02,360 --> 00:43:07,480 Speaker 8: a few centralized sites and with a system that I 833 00:43:07,520 --> 00:43:12,040 Speaker 8: can only describe as target practice or some sort of 834 00:43:12,320 --> 00:43:18,600 Speaker 8: you know, squid games hunger games type of situation is 835 00:43:19,360 --> 00:43:24,800 Speaker 8: not a good system. It's a dehumanizing system. It's a 836 00:43:24,880 --> 00:43:31,040 Speaker 8: system meant to humiliate people who are starving. That's what 837 00:43:31,080 --> 00:43:33,640 Speaker 8: I can tell you. We were obviously not allowed near 838 00:43:33,719 --> 00:43:35,920 Speaker 8: close to the sites. We couldn't even really leave the 839 00:43:35,920 --> 00:43:38,040 Speaker 8: hospital compound because the. 840 00:43:38,040 --> 00:43:39,520 Speaker 7: Area outside was a red zone. 841 00:43:40,960 --> 00:43:46,040 Speaker 8: Speaking about safety, and again we are limited in We 842 00:43:46,120 --> 00:43:48,000 Speaker 8: knew that we would be there for an x amount 843 00:43:48,040 --> 00:43:51,680 Speaker 8: of time and hopefully be able to leave. But I 844 00:43:51,800 --> 00:43:54,160 Speaker 8: really think that we need to consider the people who 845 00:43:54,239 --> 00:43:57,000 Speaker 8: are living this every single day for now twenty twenty 846 00:43:57,000 --> 00:43:57,520 Speaker 8: one months. 847 00:43:57,560 --> 00:43:59,520 Speaker 7: This is the daily life of somebody. 848 00:44:00,080 --> 00:44:03,680 Speaker 3: It's unimaginable, unable to leave. 849 00:44:03,840 --> 00:44:06,359 Speaker 8: Because it's also true that there is no safe place 850 00:44:06,400 --> 00:44:13,480 Speaker 8: in Gaza. Regularly, in addition to GHF's injuries that would 851 00:44:13,560 --> 00:44:19,720 Speaker 8: come in, we would always have a steady stream of people, men, women, children, 852 00:44:19,840 --> 00:44:26,520 Speaker 8: babies who were suffering burns, injuries and shrapnel from the 853 00:44:26,560 --> 00:44:30,840 Speaker 8: bombs that were constantly going off, and bullets from quad 854 00:44:30,920 --> 00:44:39,200 Speaker 8: copters that were constantly targeting civilians. So this is the reality. 855 00:44:39,239 --> 00:44:42,560 Speaker 8: It wasn't just GHF's site injuries coming in. It was 856 00:44:42,640 --> 00:44:46,920 Speaker 8: a constant flow of other types of injuries from bombs. 857 00:44:48,560 --> 00:44:51,080 Speaker 3: What does Gaza look like at this point? 858 00:44:52,920 --> 00:44:56,160 Speaker 8: I had a limited view because of where I was, 859 00:44:57,000 --> 00:45:03,239 Speaker 8: but it looks utterly decimated. And we can all see 860 00:45:03,239 --> 00:45:06,239 Speaker 8: pictures of what Basa used to look like. It's available 861 00:45:06,320 --> 00:45:11,840 Speaker 8: on the internet, and you cannot believe that the Gaza 862 00:45:11,960 --> 00:45:15,560 Speaker 8: I saw and my colleague saw was the Gaza of 863 00:45:16,719 --> 00:45:21,600 Speaker 8: the videos from before. It looks utterly decimated. It looks 864 00:45:21,800 --> 00:45:28,799 Speaker 8: like a wasteland. Almost all the buildings have been bombed, collapsed, 865 00:45:28,920 --> 00:45:31,840 Speaker 8: and then in the middle of that in these areas 866 00:45:31,880 --> 00:45:35,560 Speaker 8: where civilians are supposed to live, are just tents after 867 00:45:35,719 --> 00:45:40,160 Speaker 8: tents after tents, like kilometers and kilometers and kilometers of 868 00:45:40,320 --> 00:45:45,880 Speaker 8: tense cities everywhere, and these go basically up until the 869 00:45:46,040 --> 00:45:49,920 Speaker 8: shore of the ocean, of the sea, up until the sea. 870 00:45:50,280 --> 00:45:53,280 Speaker 8: And this is where people have been dislocated to after 871 00:45:53,320 --> 00:45:58,960 Speaker 8: being told, you know, multiple times, three, four or five 872 00:45:59,040 --> 00:46:03,279 Speaker 8: times throughout this genocide that they have to move, pack 873 00:46:03,360 --> 00:46:06,400 Speaker 8: up their kids, pack up everything, take what you can, 874 00:46:06,640 --> 00:46:12,719 Speaker 8: and quickly, very quickly leave and go to another tent site. 875 00:46:12,800 --> 00:46:14,680 Speaker 7: And so that's that's what I could tell you. It 876 00:46:14,680 --> 00:46:15,319 Speaker 7: looks like now. 877 00:46:15,360 --> 00:46:18,840 Speaker 8: There was a balcony off of our accommodations in the 878 00:46:18,880 --> 00:46:21,480 Speaker 8: hospital because we all we all lived in the hospital 879 00:46:22,360 --> 00:46:25,080 Speaker 8: for our entire stay. It was a balcony and it 880 00:46:25,120 --> 00:46:29,920 Speaker 8: looked south towards Rafa. And I really think about the 881 00:46:29,960 --> 00:46:32,200 Speaker 8: time when all eyes were on Rafa at the end 882 00:46:32,200 --> 00:46:34,480 Speaker 8: of last year, and I will tell you Rafa is 883 00:46:34,680 --> 00:46:37,480 Speaker 8: flattened because you could see Rafa. 884 00:46:37,560 --> 00:46:38,480 Speaker 7: And because it's. 885 00:46:38,280 --> 00:46:41,920 Speaker 8: Flattened, you could see the Rafa crossing from the balcony, 886 00:46:42,920 --> 00:46:45,880 Speaker 8: and the Rafa crossing right beyond that is where all 887 00:46:45,920 --> 00:46:51,320 Speaker 8: the ad trucks were being blocked from coming in, so. 888 00:46:51,440 --> 00:46:53,920 Speaker 7: This is what you could see. 889 00:46:54,560 --> 00:46:57,839 Speaker 8: You could also see in my four weeks there the 890 00:46:58,200 --> 00:47:02,719 Speaker 8: site even to the Mediterranean or was also visible as 891 00:47:02,760 --> 00:47:05,600 Speaker 8: more and more buildings were just collapsed while I was there, 892 00:47:06,000 --> 00:47:08,879 Speaker 8: because again the hosp Naser Hospital was in a red 893 00:47:08,960 --> 00:47:12,719 Speaker 8: zone and there was a time where we were really 894 00:47:12,719 --> 00:47:15,480 Speaker 8: worried about security once we had just gotten there a 895 00:47:15,520 --> 00:47:18,359 Speaker 8: few days afterwards where the hospital was under siege. There 896 00:47:18,360 --> 00:47:22,520 Speaker 8: were tanks in the street right outside. There was a 897 00:47:22,560 --> 00:47:26,360 Speaker 8: real fear in the hospital because the year prior, Nasser 898 00:47:26,480 --> 00:47:30,840 Speaker 8: actually was invaded by the Israeli military and people were, 899 00:47:32,480 --> 00:47:36,279 Speaker 8: you know, fled, Some people healthcare workers and doctors were 900 00:47:36,360 --> 00:47:39,680 Speaker 8: kidnapped and some of whom still. 901 00:47:39,400 --> 00:47:40,280 Speaker 7: Are being held. 902 00:47:41,400 --> 00:47:46,560 Speaker 8: And we don't know exactly where. There's a graveyard right 903 00:47:46,680 --> 00:47:50,160 Speaker 8: on the grounds of nass they call it the graveyard 904 00:47:50,200 --> 00:47:55,359 Speaker 8: where bulldozers had come through and there was a tent 905 00:47:55,640 --> 00:47:58,040 Speaker 8: city there that was supposed to be a safe zone 906 00:47:58,120 --> 00:48:03,000 Speaker 8: and it was actually just bulldozed over by the Israeli military. 907 00:48:03,200 --> 00:48:07,200 Speaker 8: And you people found IV poles, people still attached to 908 00:48:07,200 --> 00:48:10,239 Speaker 8: ivy poles, because you have to remember, in especially in 909 00:48:10,320 --> 00:48:13,719 Speaker 8: a hospital setting, you have people who have severe burns 910 00:48:13,920 --> 00:48:19,319 Speaker 8: and bandaged amputations. They're in wheelchairs, they're weak, they're malnourished, 911 00:48:19,360 --> 00:48:25,080 Speaker 8: their star they cannot just evacuate, right, So that just 912 00:48:25,160 --> 00:48:28,799 Speaker 8: became a very huge graveyard, which is now I. 913 00:48:28,719 --> 00:48:32,600 Speaker 5: Wanted to ask specifically about the starvation. You know, there's 914 00:48:32,640 --> 00:48:38,360 Speaker 5: been a lot of debates in American media about the starvation. 915 00:48:38,680 --> 00:48:40,759 Speaker 5: What we know is that a lot of people are 916 00:48:40,920 --> 00:48:44,200 Speaker 5: entering stage five of malnutrition, and I was wondering if 917 00:48:44,200 --> 00:48:46,719 Speaker 5: you could explain to our audience not only what your 918 00:48:46,800 --> 00:48:49,120 Speaker 5: view is on the from what you've seen in your 919 00:48:49,160 --> 00:48:51,040 Speaker 5: experience the extent of the. 920 00:48:51,000 --> 00:48:54,320 Speaker 6: Starvation in Gaza, but also what. 921 00:48:54,239 --> 00:48:58,000 Speaker 5: It takes medically to save people that are at that 922 00:48:58,160 --> 00:49:02,720 Speaker 5: level of malnutrition, Like what would act take to medically 923 00:49:02,800 --> 00:49:04,680 Speaker 5: save people at that point. 924 00:49:05,640 --> 00:49:08,799 Speaker 8: So what I saw personally and what my colleagues were 925 00:49:08,800 --> 00:49:11,600 Speaker 8: reporting is that there is you know, a huge amount 926 00:49:11,600 --> 00:49:14,239 Speaker 8: of malnourishment and starvation. And this is what we saw 927 00:49:14,280 --> 00:49:17,440 Speaker 8: on our patients, all of our pregnant patients, the babies 928 00:49:17,480 --> 00:49:21,400 Speaker 8: being born. Like I said, and stage five, there is 929 00:49:21,440 --> 00:49:25,640 Speaker 8: a point that you reach in starvation where you have 930 00:49:25,719 --> 00:49:29,640 Speaker 8: to be very careful then about reintroducing food. So it's 931 00:49:29,680 --> 00:49:32,839 Speaker 8: not just that you can start feeding people immediately at 932 00:49:32,840 --> 00:49:37,319 Speaker 8: this point in starvation, because there's such an imbalance in 933 00:49:37,400 --> 00:49:40,319 Speaker 8: electrolytes and nourishment that it has to be done in 934 00:49:40,360 --> 00:49:41,640 Speaker 8: a very careful way. 935 00:49:42,360 --> 00:49:43,360 Speaker 7: So it's not. 936 00:49:43,280 --> 00:49:46,120 Speaker 8: Just that you're letting in you know, more beans and 937 00:49:46,239 --> 00:49:49,520 Speaker 8: lentils and flower You need to be letting in the 938 00:49:49,560 --> 00:49:52,680 Speaker 8: proper nutrition. You need to be letting in you know, 939 00:49:54,080 --> 00:49:58,920 Speaker 8: magnesium and phosphate and all these you know, electrolytes that 940 00:49:59,000 --> 00:50:03,040 Speaker 8: have to be in the appropriate balance. Otherwise the body 941 00:50:03,120 --> 00:50:06,720 Speaker 8: system will actually, you know, you'll end up in a coma. 942 00:50:07,520 --> 00:50:10,439 Speaker 8: And this feeding, if it's not done properly, people will 943 00:50:10,440 --> 00:50:11,920 Speaker 8: die from actually the refeeding. 944 00:50:12,800 --> 00:50:15,200 Speaker 7: So that's a huge concern. It's not just you know, 945 00:50:15,320 --> 00:50:16,319 Speaker 7: letting in food aid. 946 00:50:16,440 --> 00:50:22,279 Speaker 8: It's it's letting in nutritional balance and the right the 947 00:50:22,360 --> 00:50:25,880 Speaker 8: right amount of balance so people don't die from being fed. 948 00:50:28,040 --> 00:50:30,480 Speaker 2: Doctor, the the last question I had for you is, 949 00:50:31,200 --> 00:50:35,520 Speaker 2: let's say that they open the floodgates for food and 950 00:50:35,640 --> 00:50:39,160 Speaker 2: nutrition and medicine and everything that the population needs. 951 00:50:39,239 --> 00:50:43,359 Speaker 3: At this point, you know, what will be the lifelong. 952 00:50:44,640 --> 00:50:47,640 Speaker 2: What will be the lifelong consequences of you know, those 953 00:50:47,680 --> 00:50:51,600 Speaker 2: babies who were born suffering from malnutrition, these young children 954 00:50:51,600 --> 00:50:53,880 Speaker 2: whose little bodies and brains are trying to grow and 955 00:50:53,960 --> 00:50:57,040 Speaker 2: don't have nearly the caloric resources and nutrition to be 956 00:50:57,080 --> 00:50:59,760 Speaker 2: able to do. So, you know, even if you completely 957 00:50:59,840 --> 00:51:02,920 Speaker 2: open and the floodgates, now, what does the fallout look like? 958 00:51:03,400 --> 00:51:03,600 Speaker 1: Right? 959 00:51:03,760 --> 00:51:06,799 Speaker 8: So I think that's such an important question, and thank 960 00:51:06,800 --> 00:51:10,160 Speaker 8: you for bringing that up. I believe that there are 961 00:51:10,560 --> 00:51:14,680 Speaker 8: many babies that were conceived and born at the beginning 962 00:51:15,080 --> 00:51:19,960 Speaker 8: of you know, from October twenty twenty three, and already 963 00:51:20,080 --> 00:51:23,440 Speaker 8: again with those that are now one years old or 964 00:51:23,440 --> 00:51:27,239 Speaker 8: even more, they're going to have long term effects for malnutrition. 965 00:51:28,520 --> 00:51:34,800 Speaker 8: Just imagine the you know, the stunting, the mental, mental growth, 966 00:51:35,520 --> 00:51:39,359 Speaker 8: psychological trauma is going to be huge, and I'm not 967 00:51:39,400 --> 00:51:41,440 Speaker 8: sure people are going to be ready to, but we 968 00:51:41,560 --> 00:51:44,920 Speaker 8: have to be ready to able to be able to 969 00:51:45,000 --> 00:51:45,759 Speaker 8: confront that. 970 00:51:45,920 --> 00:51:46,520 Speaker 7: And deal with that. 971 00:51:46,640 --> 00:51:50,960 Speaker 8: Also the mental trauma that everybody, all populations are going 972 00:51:51,040 --> 00:51:53,879 Speaker 8: to be suffering with, but also the starvation. I mean 973 00:51:53,880 --> 00:51:56,800 Speaker 8: we talk about when we take our kids to the pediatricians, 974 00:51:56,840 --> 00:52:00,360 Speaker 8: they're looking for you know, these very specific you know, 975 00:52:01,120 --> 00:52:05,280 Speaker 8: growth milestones, right, and how worried they are about meeting 976 00:52:05,280 --> 00:52:09,680 Speaker 8: these milestones and nutritionally everybody's got their growth weight. You know, 977 00:52:09,719 --> 00:52:11,600 Speaker 8: if you have kids, you know you're always looking at 978 00:52:11,600 --> 00:52:14,759 Speaker 8: the growth chart and making sure our kids are on 979 00:52:14,840 --> 00:52:16,959 Speaker 8: that growth chart. But what it means when you don't 980 00:52:17,040 --> 00:52:19,840 Speaker 8: hit those milestones are going to be long term effects 981 00:52:19,880 --> 00:52:24,920 Speaker 8: to brain development, to physical development, and also the psychological 982 00:52:25,400 --> 00:52:28,960 Speaker 8: trauma and in particular kids, but adults too. You know, 983 00:52:29,000 --> 00:52:32,239 Speaker 8: we can't forget about that. And I think it's it's 984 00:52:32,320 --> 00:52:39,080 Speaker 8: going to be a very profound, profound impact that this siege, 985 00:52:39,160 --> 00:52:42,640 Speaker 8: starvation and just the trauma of the bombings. 986 00:52:42,120 --> 00:52:44,120 Speaker 7: And the genocide is going to have on the population. 987 00:52:46,120 --> 00:52:50,240 Speaker 2: Yeah, well, doctor, thank you so much again for spending 988 00:52:50,239 --> 00:52:53,040 Speaker 2: some time with us and sharing you know, your your 989 00:52:53,080 --> 00:52:56,280 Speaker 2: testimony about what you witnessed. I think it is comes 990 00:52:56,280 --> 00:52:59,760 Speaker 2: at just such an absolutely critical moment, and we're incredibly 991 00:52:59,760 --> 00:53:00,600 Speaker 2: great to you for that. 992 00:53:00,640 --> 00:53:03,959 Speaker 7: Thank you so much for having me. I really appreciate it. 993 00:53:03,960 --> 00:53:04,600 Speaker 3: It's our pleasure. 994 00:53:04,800 --> 00:53:05,040 Speaker 7: Doctor. 995 00:53:07,000 --> 00:53:10,279 Speaker 5: All right, Well that was doctor Sleemy. We're all very 996 00:53:10,320 --> 00:53:13,040 Speaker 5: grateful for her coming on the show and for doctors 997 00:53:13,120 --> 00:53:17,080 Speaker 5: like her who are risking their safety to go work 998 00:53:17,280 --> 00:53:20,000 Speaker 5: over in what seems like hell on earth. 999 00:53:20,080 --> 00:53:23,000 Speaker 2: To be honest, yeah, I have to say people like 1000 00:53:23,040 --> 00:53:29,120 Speaker 2: her give me hope for humanity. I mean, the barbarism 1001 00:53:29,360 --> 00:53:32,600 Speaker 2: that we see unchecked on a daily basis makes me 1002 00:53:32,600 --> 00:53:36,800 Speaker 2: feel pretty dark about as like a species sometimes. And 1003 00:53:36,960 --> 00:53:38,959 Speaker 2: but then on the flip side of it, you see 1004 00:53:39,040 --> 00:53:43,120 Speaker 2: absolute angels like that woman who you know, gave up 1005 00:53:43,800 --> 00:53:46,680 Speaker 2: a month of her life to go and be in 1006 00:53:46,719 --> 00:53:49,960 Speaker 2: a war zone in the worst conditions you can imagine, 1007 00:53:50,080 --> 00:53:55,560 Speaker 2: at great physical and personal risk, and you know, it's 1008 00:53:55,600 --> 00:53:57,040 Speaker 2: it's an extraordinary things. 1009 00:53:57,120 --> 00:53:59,560 Speaker 5: Just feel that way about Aguilar, who we had on 1010 00:53:59,600 --> 00:54:02,200 Speaker 5: the show, that absolutely that gave me hope because it's like, 1011 00:54:02,239 --> 00:54:04,319 Speaker 5: you know, you think about you know, these military guys, 1012 00:54:04,320 --> 00:54:07,080 Speaker 5: these army guys, but like you know, he never shot 1013 00:54:07,120 --> 00:54:09,239 Speaker 5: his gun the entire time he was there. 1014 00:54:09,560 --> 00:54:11,279 Speaker 6: He led with you. 1015 00:54:11,200 --> 00:54:16,640 Speaker 5: Know, bravery, encourage, and uh, he's put a target on 1016 00:54:16,680 --> 00:54:19,279 Speaker 5: his back for what he has said on our show 1017 00:54:19,320 --> 00:54:22,480 Speaker 5: and on other shows, and he's just doing it because 1018 00:54:22,480 --> 00:54:25,600 Speaker 5: it's the right thing to do. So yeah, I've definitely 1019 00:54:25,680 --> 00:54:28,640 Speaker 5: seen examples of they give me hope right now. 1020 00:54:29,280 --> 00:54:35,200 Speaker 2: Yeah, like we should mention Wick Cough is actually in Gaza, 1021 00:54:35,280 --> 00:54:38,640 Speaker 2: or was in Gaza for this like little propaganda stunt 1022 00:54:38,640 --> 00:54:40,560 Speaker 2: where they oh, look everything's going great. 1023 00:54:40,760 --> 00:54:41,840 Speaker 3: We're not shooting at people. 1024 00:54:41,920 --> 00:54:44,640 Speaker 2: Don't worry that we're not massacring Palestinians on a literal 1025 00:54:44,719 --> 00:54:47,319 Speaker 2: daily basis for no reason at all and luring them 1026 00:54:47,320 --> 00:54:51,800 Speaker 2: into what, you know, Tony Aguilar called intentional death traps. 1027 00:54:52,320 --> 00:54:54,839 Speaker 3: So, you know, the just. 1028 00:54:56,440 --> 00:54:58,239 Speaker 2: I don't even know what you what you say about 1029 00:54:58,239 --> 00:55:01,120 Speaker 2: it at this point. So it's so dark and feels 1030 00:55:01,160 --> 00:55:04,839 Speaker 2: so you know, like there's no end in sight. 1031 00:55:04,920 --> 00:55:05,200 Speaker 3: Really. 1032 00:55:05,719 --> 00:55:09,160 Speaker 4: I think it's also worth noting that Trump, this was 1033 00:55:09,200 --> 00:55:14,440 Speaker 4: a story that broke yesterday. Trump in the Times of 1034 00:55:14,520 --> 00:55:18,880 Speaker 4: Israel was quoted as having told a donor it's a 1035 00:55:18,920 --> 00:55:22,319 Speaker 4: total anonymously sort of story, but telling a donor that 1036 00:55:22,360 --> 00:55:26,920 Speaker 4: the magabase was turning against Israel, which is quite interesting. 1037 00:55:27,160 --> 00:55:30,120 Speaker 4: And then I'll share this, he was. Trump was taking 1038 00:55:30,160 --> 00:55:37,919 Speaker 4: questions from reporters yesterday, and he ended up saying, right here, sorry, 1039 00:55:37,960 --> 00:55:44,000 Speaker 4: I'm sharing my screen. He ended up saying, well, okay, 1040 00:55:44,280 --> 00:55:49,400 Speaker 4: He ended up saying, this is really meta. I'm stopping. 1041 00:55:49,719 --> 00:55:52,400 Speaker 4: I'm just gonna read the quote he ended up saying. 1042 00:55:53,320 --> 00:55:55,200 Speaker 4: It was asked if he agrees with Marjorie Taylor Green 1043 00:55:55,320 --> 00:55:58,640 Speaker 4: that there's a genocide in Gaza, Trump said, quote, Oh, 1044 00:55:58,680 --> 00:56:01,399 Speaker 4: it's terrible. What's occurring there. Yeah, it's a terrible thing. 1045 00:56:01,560 --> 00:56:05,279 Speaker 4: People are very hungry. And then he said part of 1046 00:56:05,320 --> 00:56:09,359 Speaker 4: the problem is Hamas taking the money and food. So 1047 00:56:10,120 --> 00:56:12,120 Speaker 4: that's where Trump is. But it reminds me. 1048 00:56:12,040 --> 00:56:14,120 Speaker 2: Of even the Israelis say that's not true. I mean, 1049 00:56:14,160 --> 00:56:16,160 Speaker 2: that was the New York Times report they had. Israeli 1050 00:56:16,200 --> 00:56:18,600 Speaker 2: military officials would say, that's just not true. I mean 1051 00:56:18,640 --> 00:56:20,680 Speaker 2: we all know, like we all know, that's a total, 1052 00:56:20,719 --> 00:56:22,799 Speaker 2: incomplete lie. We just heard the doctors say, look, all 1053 00:56:22,800 --> 00:56:24,120 Speaker 2: the AID is lined up there at the border. They 1054 00:56:24,200 --> 00:56:26,319 Speaker 2: just won't let it through, you know. And that's the 1055 00:56:26,360 --> 00:56:28,640 Speaker 2: other thing that pisses me off about the pretext of 1056 00:56:28,680 --> 00:56:30,600 Speaker 2: the wit Cough visit is he supposed to be there 1057 00:56:30,600 --> 00:56:32,640 Speaker 2: to like study a plan for what we could do. 1058 00:56:32,680 --> 00:56:35,239 Speaker 2: It's like, you don't need to study a plan. The 1059 00:56:35,440 --> 00:56:39,279 Speaker 2: un knows how to operate. Just let them operate and 1060 00:56:39,520 --> 00:56:42,160 Speaker 2: you know, call off the Israelis so that they're not 1061 00:56:42,320 --> 00:56:45,960 Speaker 2: shooting at AID workers and are allowing them in for 1062 00:56:46,120 --> 00:56:48,319 Speaker 2: multiple crossings by the way, too, because that's an issue. 1063 00:56:48,320 --> 00:56:51,800 Speaker 2: If you just let in a few trucks through one crossing, 1064 00:56:51,880 --> 00:56:54,320 Speaker 2: oh yeah, guess what a starving population is going to 1065 00:56:54,680 --> 00:56:58,960 Speaker 2: mob those trucks immediately and grab whatever they can. Survival 1066 00:56:59,040 --> 00:57:01,440 Speaker 2: of the fittest stare for. 1067 00:57:01,600 --> 00:57:04,560 Speaker 6: AID sites when there needs to be like forty at least. 1068 00:57:04,360 --> 00:57:05,160 Speaker 3: No four hundred. 1069 00:57:05,239 --> 00:57:07,560 Speaker 2: That's what the that's what the UN was operating, was 1070 00:57:07,560 --> 00:57:12,120 Speaker 2: four hundred AID sites. They had kitchens and bakeries throughout 1071 00:57:12,160 --> 00:57:16,040 Speaker 2: the entire Gaza strip, And so you know the idea 1072 00:57:16,080 --> 00:57:20,000 Speaker 2: that you can. I mean, the intention of GHF was 1073 00:57:20,040 --> 00:57:22,400 Speaker 2: never to feed the population. That was never the intention. 1074 00:57:22,800 --> 00:57:27,920 Speaker 2: The intention of GHF is to weaponize military aid, to 1075 00:57:28,480 --> 00:57:32,920 Speaker 2: use it to create further displacement and misery, all wrapped 1076 00:57:32,960 --> 00:57:35,000 Speaker 2: in this sort of like pr of Oh, look at 1077 00:57:35,040 --> 00:57:37,920 Speaker 2: us giving a bag of lentils to this starving child. 1078 00:57:38,880 --> 00:57:39,040 Speaker 6: Yeah. 1079 00:57:39,080 --> 00:57:41,680 Speaker 4: I was just to say the Trump comments remind me 1080 00:57:42,040 --> 00:57:44,800 Speaker 4: sort of similar to what we're seeing from Slatkin and 1081 00:57:44,880 --> 00:57:48,120 Speaker 4: the Mallary McMorrow position that you mentioned, Crystal, which is 1082 00:57:48,560 --> 00:57:54,280 Speaker 4: this recognition that even among Republicans there is horror at 1083 00:57:54,320 --> 00:57:58,360 Speaker 4: what's happened over the course of particularly the last month, 1084 00:57:58,440 --> 00:58:01,240 Speaker 4: and that's frustrating to people watching it for longer. But 1085 00:58:02,000 --> 00:58:04,000 Speaker 4: I think what we're seeing is that trickle into the 1086 00:58:04,000 --> 00:58:08,040 Speaker 4: political calculations in a way that it hasn't before. So 1087 00:58:08,120 --> 00:58:11,520 Speaker 4: it's becoming as it really is becoming Trump as now 1088 00:58:12,320 --> 00:58:15,120 Speaker 4: Christians who were very supportive of him. We covered Michael 1089 00:58:15,160 --> 00:58:17,400 Speaker 4: Knowles a couple of weeks ago saying you're losing me, 1090 00:58:17,600 --> 00:58:19,400 Speaker 4: and that was after the Catholic Church was hit. I 1091 00:58:19,440 --> 00:58:22,320 Speaker 4: listened to Eric Prince on Bannon Show recently saying he 1092 00:58:22,360 --> 00:58:25,520 Speaker 4: thinks that it was intentionally targeted. The cross on top 1093 00:58:25,560 --> 00:58:28,200 Speaker 4: of the church, he thought was intentionally targeted. And when 1094 00:58:28,240 --> 00:58:31,000 Speaker 4: you're losing, Eric Prince, you have brought. 1095 00:58:30,760 --> 00:58:32,800 Speaker 3: Its pretty bad. Yeah, that's pretty bad. 1096 00:58:33,200 --> 00:58:33,480 Speaker 7: All right. 1097 00:58:33,520 --> 00:58:36,080 Speaker 2: Should we go ahead and transition to the premium show, guys, 1098 00:58:36,080 --> 00:58:39,080 Speaker 2: and we can talk about the jobs numbers, the tariffs, 1099 00:58:39,080 --> 00:58:41,920 Speaker 2: and the playlifts list importantly, Yes. 1100 00:58:41,760 --> 00:58:42,880 Speaker 6: Of course, before we do. 1101 00:58:43,160 --> 00:58:46,360 Speaker 4: Just to note, Michael Tracy over at Mtracy dot Neett 1102 00:58:46,360 --> 00:58:50,280 Speaker 4: wrote a piece rebutting what he took issue with from 1103 00:58:50,400 --> 00:58:53,280 Speaker 4: Nick Bryant, who Crystal and I interviewed on Wednesday, a 1104 00:58:53,320 --> 00:58:57,120 Speaker 4: guy who originally broke the Epstein Black Book story. And 1105 00:58:58,000 --> 00:59:00,400 Speaker 4: Tracy has all kinds of this is over at his subject. 1106 00:59:00,400 --> 00:59:04,040 Speaker 4: Tracy has all kinds of criticisms of what Bryant said, 1107 00:59:04,040 --> 00:59:08,160 Speaker 4: but he particularly criticized I actually think rightfully a number 1108 00:59:08,440 --> 00:59:13,959 Speaker 4: that Bryant listed for human trafficking. And that's, by the way, 1109 00:59:14,120 --> 00:59:18,520 Speaker 4: I will just say, as a evangelical, there's a lot 1110 00:59:18,520 --> 00:59:23,000 Speaker 4: of bad human trafficking stats that bounce around the religious 1111 00:59:23,000 --> 00:59:26,880 Speaker 4: world because you know, it's it's there are a lot 1112 00:59:26,880 --> 00:59:28,680 Speaker 4: of NGOs that work in that space, and there are 1113 00:59:28,680 --> 00:59:31,480 Speaker 4: a lot of people who are genuinely concerned. But I 1114 00:59:31,840 --> 00:59:35,439 Speaker 4: you know, these stats are so easy for great you're. 1115 00:59:35,360 --> 00:59:37,720 Speaker 6: Saying that there's an undercount or an overcount. 1116 00:59:38,480 --> 00:59:43,560 Speaker 4: There are a lot of stats that overcount also. Yes, 1117 00:59:43,720 --> 00:59:45,920 Speaker 4: So here's I'm just going to read a bit from Tracy. 1118 00:59:46,160 --> 00:59:50,200 Speaker 4: He says, well, here's he's quoting a study that Bryant 1119 00:59:51,080 --> 00:59:56,160 Speaker 4: referred to, or he thinks refers to. He So he says, 1120 00:59:56,280 --> 00:59:58,000 Speaker 4: this is the this is what the study says. Is 1121 00:59:58,080 --> 01:00:00,440 Speaker 4: estimated that between fifteen thousand and fift as women and 1122 01:00:00,480 --> 01:00:02,720 Speaker 4: children are forced into sexual slavery in the US every year, 1123 01:00:02,720 --> 01:00:05,000 Speaker 4: and the total number varies wildly as is very difficult 1124 01:00:05,000 --> 01:00:08,160 Speaker 4: to research. One study from the DHS estimate the number 1125 01:00:08,200 --> 01:00:10,720 Speaker 4: between two hundred and forty and three hundred and twenty 1126 01:00:10,760 --> 01:00:16,720 Speaker 4: five thousand. Now I looked into that. Elizabeth Nolan Brown 1127 01:00:16,760 --> 01:00:19,680 Speaker 4: over at Reason has always for like, at least the 1128 01:00:19,760 --> 01:00:22,480 Speaker 4: last decade has done a lot of work going through 1129 01:00:22,640 --> 01:00:26,840 Speaker 4: those numbers, and so it's just worth noting you can 1130 01:00:26,840 --> 01:00:28,600 Speaker 4: take a look at her work. I went to the 1131 01:00:28,640 --> 01:00:33,680 Speaker 4: Department of Transportation. Their estimate, they say in twenty twenty three, 1132 01:00:33,720 --> 01:00:36,160 Speaker 4: the National Human Trafficking Hotline received a total of thirty 1133 01:00:36,200 --> 01:00:39,479 Speaker 4: thousand substance of signals nationwide and received reports of ninety 1134 01:00:39,520 --> 01:00:44,520 Speaker 4: six hundred basically potential human trafficking cases, referencing seventeen thousand 1135 01:00:44,680 --> 01:00:49,280 Speaker 4: potential victims. So these numbers are sadly a political football. 1136 01:00:49,880 --> 01:00:54,520 Speaker 4: But Tracy wrote like a thousand word probably rebuttal to 1137 01:00:54,600 --> 01:00:56,960 Speaker 4: Nick Bryant that people can check out if they want. 1138 01:00:57,840 --> 01:01:00,720 Speaker 2: All right, thanks for flagging that, m and for those 1139 01:01:00,760 --> 01:01:02,800 Speaker 2: of you who want to hear about the jobs report, 1140 01:01:02,840 --> 01:01:08,400 Speaker 2: the tariffs, and also Jadie Vance's eyebrow raising Spotify playlist, 1141 01:01:08,440 --> 01:01:10,040 Speaker 2: along with who else do we have Mike Johnson? 1142 01:01:10,440 --> 01:01:11,080 Speaker 3: There's one other? 1143 01:01:11,200 --> 01:01:14,080 Speaker 4: Oh, we have Pam Bondi, And I think Bondi's might 1144 01:01:14,120 --> 01:01:14,640 Speaker 4: be the worst. 1145 01:01:15,840 --> 01:01:18,720 Speaker 2: I gotta take another look. There were some Yeah, there 1146 01:01:18,720 --> 01:01:21,640 Speaker 2: were some questionable choices all the way around. But in 1147 01:01:21,680 --> 01:01:23,560 Speaker 2: any case, if you want to see all of that, 1148 01:01:23,600 --> 01:01:25,680 Speaker 2: go to breakingpoints dot com. Thank you guys so much 1149 01:01:25,720 --> 01:01:28,720 Speaker 2: for supporting us. You know, obviously it's been a very 1150 01:01:29,400 --> 01:01:32,360 Speaker 2: very big week, very consequential week, and you know we're 1151 01:01:32,400 --> 01:01:34,800 Speaker 2: grateful for the opportunity to be able to do those things. 1152 01:01:34,960 --> 01:01:37,040 Speaker 2: So head over to breakingpoints dot com if you can 1153 01:01:37,120 --> 01:01:39,960 Speaker 2: to support us, and for the premium members that rest 1154 01:01:39,960 --> 01:01:41,400 Speaker 2: of that show starts right now.