1 00:00:00,080 --> 00:00:01,160 Speaker 1: Let's bring it up christ to Golf. 2 00:00:01,320 --> 00:00:03,440 Speaker 2: It is Chris to Golf, Risky Gall. 3 00:00:03,600 --> 00:00:05,600 Speaker 3: I'm joined now by Christigaf. 4 00:00:05,160 --> 00:00:06,320 Speaker 2: Most of the Christa Golf Show. 5 00:00:06,400 --> 00:00:08,640 Speaker 1: So let's brand talk radio host Chris Togall. 6 00:00:08,760 --> 00:00:11,200 Speaker 2: Also his podcast is a musk listen every day Christa 7 00:00:11,240 --> 00:00:13,960 Speaker 2: Gall Show podcast and host of the Christa Gall Show. 8 00:00:14,120 --> 00:00:18,479 Speaker 2: Let's bring in Christa Gall Pall. Welcome, Chris Speak Gall to. 9 00:00:18,640 --> 00:00:22,360 Speaker 3: Chris to Gall podcast is presented by US medical Plan 10 00:00:22,520 --> 00:00:26,160 Speaker 3: dot com. Save big money monthly and get better health 11 00:00:26,200 --> 00:00:28,800 Speaker 3: covers at us medicalplan dot com. 12 00:00:29,200 --> 00:00:31,479 Speaker 2: Well, hey there, welcome in to the christ Stickgall Show podcast. 13 00:00:31,520 --> 00:00:34,400 Speaker 2: Thrilled to have you here and on the road this week. 14 00:00:34,479 --> 00:00:38,440 Speaker 2: Had some meetings unfortunately couldn't be with you for shows 15 00:00:38,520 --> 00:00:41,280 Speaker 2: this week. But I never leave you hanging. I always 16 00:00:41,360 --> 00:00:43,959 Speaker 2: like to leave you with content, some new content, some 17 00:00:44,040 --> 00:00:46,440 Speaker 2: maybe you've heard before, but maybe you didn't, and in 18 00:00:46,479 --> 00:00:48,080 Speaker 2: which case it's news to you and we think it's 19 00:00:48,080 --> 00:00:51,400 Speaker 2: pretty solid stuff anyway. So sit tight for some great conversations, 20 00:00:51,400 --> 00:00:54,000 Speaker 2: some great interviews that are probably brand new to you. 21 00:00:54,320 --> 00:00:56,960 Speaker 2: And I appreciate you subscribing and giving a review to 22 00:00:57,000 --> 00:00:58,680 Speaker 2: this show. You know, if you ever get a second 23 00:00:58,720 --> 00:01:00,880 Speaker 2: to just write a little review, particularly if you're an 24 00:01:00,920 --> 00:01:03,880 Speaker 2: Apple podcast or Spotify user. We really appreciate that in 25 00:01:03,920 --> 00:01:07,080 Speaker 2: five star reviews, they mean a ton. So thanks for 26 00:01:07,160 --> 00:01:10,399 Speaker 2: your support and thanks to the sponsorship of great people 27 00:01:10,480 --> 00:01:13,800 Speaker 2: like John Rulman and usmedicalplan dot Com. I cannot stress 28 00:01:13,800 --> 00:01:15,920 Speaker 2: this enough to you. If you're in this audience and 29 00:01:15,959 --> 00:01:18,880 Speaker 2: you buy your own health insurance and it's a fortune 30 00:01:19,000 --> 00:01:21,520 Speaker 2: I know I've heard at time and again. The thing 31 00:01:21,560 --> 00:01:23,760 Speaker 2: that I also know is when people reach out to 32 00:01:23,840 --> 00:01:26,199 Speaker 2: John Ruhlman and his team at US medical plan dot 33 00:01:26,200 --> 00:01:29,280 Speaker 2: com he fined nine times out of ten, he will 34 00:01:29,319 --> 00:01:32,760 Speaker 2: find you a plan that is not anywhere close to 35 00:01:32,800 --> 00:01:35,959 Speaker 2: as expensive as you're paying right now. Obamacare has you 36 00:01:36,040 --> 00:01:38,959 Speaker 2: over a barrel, you think, not necessarily. John works with 37 00:01:39,000 --> 00:01:41,759 Speaker 2: one hundred different private health insurance all over the country 38 00:01:42,120 --> 00:01:43,920 Speaker 2: to find you the very best rates. Look, if you're 39 00:01:43,920 --> 00:01:47,199 Speaker 2: in reasonably decent health, there's no reason to be paying 40 00:01:47,200 --> 00:01:49,440 Speaker 2: a fortune for health insurance. And even if you have 41 00:01:49,520 --> 00:01:51,720 Speaker 2: some conditions, either you or a member of your family, 42 00:01:51,720 --> 00:01:53,800 Speaker 2: and you buy your own health insurance, there are options 43 00:01:53,840 --> 00:01:56,640 Speaker 2: out there that don't have to break the bank. My 44 00:01:57,000 --> 00:01:59,240 Speaker 2: parents four of them. My folks are divorced. You know 45 00:01:59,320 --> 00:02:01,800 Speaker 2: so my dad's step mom, mom, and stepdad, all four 46 00:02:01,840 --> 00:02:04,840 Speaker 2: of them have become customers of US Medical Plan dot 47 00:02:04,880 --> 00:02:08,000 Speaker 2: Com and saved hundreds of dollars a month on their 48 00:02:08,160 --> 00:02:12,120 Speaker 2: health insurance premiums for their supplemental health insurance. Small business owners, 49 00:02:12,280 --> 00:02:14,760 Speaker 2: personal friends and colleagues of mine who buy their own 50 00:02:14,760 --> 00:02:16,960 Speaker 2: health insurance have saved a ton of money. I have 51 00:02:17,000 --> 00:02:19,320 Speaker 2: a friend who was in between jobs. She saved a 52 00:02:19,360 --> 00:02:22,240 Speaker 2: ton as opposed to going the Cobra route. You're not 53 00:02:22,240 --> 00:02:24,680 Speaker 2: going to know unless you call. Why not investigate this? 54 00:02:24,680 --> 00:02:26,760 Speaker 2: This could be a huge savings for you every month 55 00:02:27,320 --> 00:02:30,519 Speaker 2: US Medicalplan dot com or eight seven seven, four to 56 00:02:30,600 --> 00:02:33,200 Speaker 2: one zero forty three twenty one. You know. I came 57 00:02:33,240 --> 00:02:37,200 Speaker 2: across a piece last week that I thought was very 58 00:02:37,280 --> 00:02:39,400 Speaker 2: very important, important enough that I didn't want to rush 59 00:02:39,400 --> 00:02:41,359 Speaker 2: it or slam it into the rest of the news cycle. 60 00:02:41,360 --> 00:02:43,280 Speaker 2: And it was this one from the New York Post headline. 61 00:02:43,320 --> 00:02:48,040 Speaker 2: State Department identifies Code Pink and other far left groups 62 00:02:48,120 --> 00:02:54,320 Speaker 2: as vectors of Chinese influence operations. And the reason I 63 00:02:54,320 --> 00:02:57,160 Speaker 2: think that's important is also related to a conversation we 64 00:02:57,240 --> 00:02:59,160 Speaker 2: had last week. If you remember when we were talking 65 00:02:59,200 --> 00:03:02,800 Speaker 2: about the eyes of organization and they monitor in real 66 00:03:02,919 --> 00:03:06,000 Speaker 2: time sort of the sentiment of people who are consuming 67 00:03:06,040 --> 00:03:09,920 Speaker 2: social media. And we talked about the influence operation inside 68 00:03:09,960 --> 00:03:14,160 Speaker 2: social media. What are we consuming on social media with 69 00:03:14,240 --> 00:03:19,239 Speaker 2: regularity that's driving that sentiment that we're measuring, from everything 70 00:03:19,240 --> 00:03:23,800 Speaker 2: from the Epstein story to immigration to whatever you know, 71 00:03:23,840 --> 00:03:26,080 Speaker 2: pick your favorite left wing thing. We go back to 72 00:03:26,120 --> 00:03:30,000 Speaker 2: George Floyd or even Occupy Wall Street before that. Well, 73 00:03:30,360 --> 00:03:33,160 Speaker 2: it's not a surprise. There's big money behind that and 74 00:03:33,240 --> 00:03:35,560 Speaker 2: so much more. And there's a woman that has written 75 00:03:36,120 --> 00:03:39,800 Speaker 2: a book about this that sounds really edifying and enlightening 76 00:03:39,840 --> 00:03:41,480 Speaker 2: on the subject if you care about it like I do, 77 00:03:41,560 --> 00:03:44,800 Speaker 2: and I think we all should. Doctor Rachel Erenfeld has 78 00:03:44,840 --> 00:03:48,040 Speaker 2: authored a book called The Soros Agenda. It came out 79 00:03:48,080 --> 00:03:51,080 Speaker 2: back in twenty twenty three. And doctor Erinfeld, first of all, 80 00:03:51,120 --> 00:03:53,240 Speaker 2: I welcome you to the show. Good morning, good. 81 00:03:53,000 --> 00:03:54,360 Speaker 1: Morning, Thank you for having me. 82 00:03:55,480 --> 00:03:58,840 Speaker 2: Of course, your analysis of this, as I say, you 83 00:03:58,840 --> 00:04:00,480 Speaker 2: wrote this a couple of years ago, you were way 84 00:04:00,520 --> 00:04:02,120 Speaker 2: ahead of the curve on it. I think we're all 85 00:04:02,160 --> 00:04:05,280 Speaker 2: just now catching up to understanding that so much of 86 00:04:05,320 --> 00:04:08,720 Speaker 2: what's driving our news cycle now and social media is 87 00:04:08,760 --> 00:04:11,560 Speaker 2: in fact influenced by money. It's not organic. 88 00:04:12,960 --> 00:04:19,080 Speaker 1: Yeah, it's influenced by money. And in America, calling money 89 00:04:19,440 --> 00:04:23,799 Speaker 1: is I mean money is called free speech. And indeed, 90 00:04:23,839 --> 00:04:26,039 Speaker 1: if you have a lot of money, you have more 91 00:04:26,160 --> 00:04:35,560 Speaker 1: time on radio, on television, ads, on social media, social media, 92 00:04:35,680 --> 00:04:43,400 Speaker 1: posting everywhere. So podcast, you name. 93 00:04:43,320 --> 00:04:47,880 Speaker 2: It specifically tonight, sorry to interrupt you, may I ask you, doctor, 94 00:04:47,920 --> 00:04:50,880 Speaker 2: what specifically was it about Soros that caused you to 95 00:04:51,000 --> 00:04:54,359 Speaker 2: dive deep into him, his funding, his methodology, Why the 96 00:04:54,360 --> 00:04:55,480 Speaker 2: book about him for you? 97 00:04:56,520 --> 00:05:01,159 Speaker 1: Well, I've written previous books about money loaned, ringing and 98 00:05:01,240 --> 00:05:06,240 Speaker 1: terrorist financing and narco terrorism and how the money is 99 00:05:06,279 --> 00:05:10,080 Speaker 1: actually being washed, how the money is, how the money 100 00:05:10,120 --> 00:05:16,240 Speaker 1: is being used to corrupt, to defaible economies. And of 101 00:05:16,320 --> 00:05:23,719 Speaker 1: course many of the big narco terrorists what they want 102 00:05:24,400 --> 00:05:28,120 Speaker 1: eventually is to gain enough money so that they can 103 00:05:28,240 --> 00:05:34,200 Speaker 1: buy political positions very often and have influence. Because if 104 00:05:34,200 --> 00:05:37,560 Speaker 1: you made billions of dollars, okay, so now what do 105 00:05:37,600 --> 00:05:42,479 Speaker 1: you do you want legitimacy? And legitimacy is by becoming 106 00:05:42,080 --> 00:05:47,080 Speaker 1: somebody public, somebody who influences things that are happening in society. 107 00:05:48,920 --> 00:05:55,719 Speaker 1: So that was before when Storrows came around, he started 108 00:05:55,760 --> 00:06:00,600 Speaker 1: his organization in the United States, the Open Society, the 109 00:06:00,640 --> 00:06:03,280 Speaker 1: Institute as it was called, back in nineteen ninety two, 110 00:06:03,440 --> 00:06:08,440 Speaker 1: ninety three, and he said he wanted to change America. 111 00:06:08,920 --> 00:06:13,719 Speaker 1: That was his goal. Okay, So that was an interesting statement, 112 00:06:15,839 --> 00:06:21,640 Speaker 1: and so I started kind of I thought it was interesting. 113 00:06:22,760 --> 00:06:25,560 Speaker 1: His office is not far from where I live, actually, 114 00:06:27,040 --> 00:06:31,200 Speaker 1: and I started following his activities a little bit, and 115 00:06:31,240 --> 00:06:35,880 Speaker 1: I saw this was after the Soviet yim imploded, and 116 00:06:36,000 --> 00:06:40,520 Speaker 1: so I looked into and I actually encountered his activities 117 00:06:41,880 --> 00:06:50,719 Speaker 1: through his so called charity in the former Soviet republics 118 00:06:50,760 --> 00:06:55,640 Speaker 1: in Eastern Europe. And I was sent by the State 119 00:06:55,680 --> 00:07:03,680 Speaker 1: Department at the time to different newly newly independent Soviet 120 00:07:03,760 --> 00:07:10,239 Speaker 1: republic and Eastern Bloc countries to lecture about corruption, about 121 00:07:10,280 --> 00:07:14,080 Speaker 1: the rule of flow, about these kind of things. And 122 00:07:14,320 --> 00:07:21,600 Speaker 1: I was actually exposed to the huge network the source 123 00:07:21,680 --> 00:07:25,240 Speaker 1: had built in those countries at the time, and how 124 00:07:25,320 --> 00:07:29,880 Speaker 1: he used, even at that time, US government money. So 125 00:07:30,040 --> 00:07:33,320 Speaker 1: the State Department used to give him money or usaid, 126 00:07:34,000 --> 00:07:37,120 Speaker 1: and he dispersed it. And when I asked, well, why 127 00:07:37,160 --> 00:07:39,640 Speaker 1: are you giving it to him? And he's claiming credit 128 00:07:39,800 --> 00:07:43,160 Speaker 1: for the for the money that the United States is 129 00:07:43,200 --> 00:07:49,720 Speaker 1: giving four countries to help them retraver after communism. So 130 00:07:49,840 --> 00:07:52,360 Speaker 1: why don't you actually want the credit for yourself? And 131 00:07:52,360 --> 00:07:55,600 Speaker 1: I said, well, you know he he has so many 132 00:07:55,760 --> 00:07:59,720 Speaker 1: offices everywhere. You knows so many people, So we give 133 00:07:59,720 --> 00:08:03,760 Speaker 1: it to yeah, at least, So. 134 00:08:03,880 --> 00:08:07,400 Speaker 2: This is yeah, I'm starting to interrupt you, Doctor Rachel 135 00:08:07,480 --> 00:08:10,240 Speaker 2: Henfeld again, is with us? The Sorow's agenda is her book. 136 00:08:10,720 --> 00:08:13,880 Speaker 2: So when President Trump hits the White House for a 137 00:08:13,920 --> 00:08:18,520 Speaker 2: second term, and they immediately turn Dosee and Elon Musk 138 00:08:18,600 --> 00:08:21,239 Speaker 2: and they start using AI and they start looking into 139 00:08:21,280 --> 00:08:25,440 Speaker 2: the the finances of this organization USAID and effectively shut 140 00:08:25,480 --> 00:08:28,680 Speaker 2: it down. This must have come as no surprise to you. 141 00:08:28,840 --> 00:08:31,160 Speaker 2: I'd never heard of it before, but you had been 142 00:08:31,200 --> 00:08:33,760 Speaker 2: watching this for a while. You knew taxpayer money was 143 00:08:33,760 --> 00:08:35,920 Speaker 2: flowing to this guy for some time, is what you're saying. 144 00:08:36,240 --> 00:08:39,760 Speaker 1: Absolutely, and he was not the only one. So, and 145 00:08:39,920 --> 00:08:45,320 Speaker 1: tax money has been going to the un that, through UNRA, 146 00:08:45,559 --> 00:08:51,520 Speaker 1: have been funding Hamas. So and Sorows have been also 147 00:08:51,679 --> 00:08:57,840 Speaker 1: funding directly and indirectly for Palestinian for Hamas organizations even 148 00:08:57,920 --> 00:09:05,760 Speaker 1: in the West Bank or Samaria in Israel territory against Israel. 149 00:09:06,440 --> 00:09:09,120 Speaker 2: So, doctor, do you think do you think that the 150 00:09:09,160 --> 00:09:11,240 Speaker 2: Trump administration. First of all, I don't know have you 151 00:09:11,280 --> 00:09:14,040 Speaker 2: had any council with them if they asked for your input? 152 00:09:14,280 --> 00:09:16,480 Speaker 2: And do you think they've uncovered this well or is 153 00:09:16,480 --> 00:09:17,640 Speaker 2: it still a big problem. 154 00:09:18,000 --> 00:09:20,760 Speaker 1: I think it is a very big problem now. There 155 00:09:20,760 --> 00:09:23,800 Speaker 1: are all kinds of things going on, and I think 156 00:09:23,880 --> 00:09:28,520 Speaker 1: Katal probably had replaced whatever or maybe not completely, but 157 00:09:29,040 --> 00:09:34,439 Speaker 1: it is the major funder of Hamas and others. You 158 00:09:34,520 --> 00:09:39,480 Speaker 1: had these movements in that region. But and I don't 159 00:09:39,520 --> 00:09:43,839 Speaker 1: know if politically the United States would actually make will 160 00:09:43,880 --> 00:09:50,520 Speaker 1: make any announcement about Katal funding jihadi's groups, because it 161 00:09:50,600 --> 00:09:54,920 Speaker 1: is funding many things here like the Brookings Institute, universities 162 00:09:54,960 --> 00:09:59,559 Speaker 1: all over the place. So it's a very complicated issue 163 00:09:59,559 --> 00:10:03,120 Speaker 1: because they they have really penetrated everything. Now. 164 00:10:03,160 --> 00:10:05,640 Speaker 2: So when you hear this story that I lad with, 165 00:10:05,760 --> 00:10:08,160 Speaker 2: doctor and I know it's not totally related to your book, 166 00:10:08,160 --> 00:10:10,880 Speaker 2: the Sorol's agenda, or perhaps it is. The State Department 167 00:10:10,920 --> 00:10:13,959 Speaker 2: has identified Code Pink and other far left groups as 168 00:10:14,080 --> 00:10:19,760 Speaker 2: vectors of Chinese influence operation. Are they related the Chinese 169 00:10:19,760 --> 00:10:21,840 Speaker 2: Communist Party and a guy like Soros or are they 170 00:10:21,840 --> 00:10:23,000 Speaker 2: independent actors? 171 00:10:23,760 --> 00:10:30,560 Speaker 1: They are? They are independent and in the way they'll operate. 172 00:10:30,840 --> 00:10:38,000 Speaker 1: It's hard for for me to judge. I can assume 173 00:10:39,000 --> 00:10:44,360 Speaker 1: I'm looking at the at the issues that they are promoting, 174 00:10:44,920 --> 00:10:47,760 Speaker 1: at the propaganda that they are promoting, and are they 175 00:10:47,800 --> 00:10:54,680 Speaker 1: are very similar. So pink is uh coutink is has been. 176 00:10:55,520 --> 00:10:59,800 Speaker 1: It is an international organization. It has branches all over 177 00:11:00,440 --> 00:11:06,040 Speaker 1: Europe and elsewhere in the United States. These were people 178 00:11:06,200 --> 00:11:09,360 Speaker 1: that actually demonstrated four homers all the time. 179 00:11:10,040 --> 00:11:10,319 Speaker 4: Uh. 180 00:11:10,400 --> 00:11:14,720 Speaker 1: The hat is well, they hate America. Uh. It's organized 181 00:11:14,720 --> 00:11:18,600 Speaker 1: by a woman who is married to Neville Singham, who 182 00:11:18,760 --> 00:11:22,440 Speaker 1: is an American who lives in Shanghai, who invested, I mean, 183 00:11:22,880 --> 00:11:26,840 Speaker 1: had given billions of dollars to left or radical leftist 184 00:11:26,880 --> 00:11:30,320 Speaker 1: groups in the United States. Jesu's wife. She has invested 185 00:11:30,360 --> 00:11:34,760 Speaker 1: a lot of money in court. Pink Cold Pink has 186 00:11:34,800 --> 00:11:39,840 Speaker 1: been really very active. They even went to visit uh 187 00:11:39,920 --> 00:11:45,040 Speaker 1: their tolahamony years ago and they were wearing pink head 188 00:11:45,080 --> 00:11:50,120 Speaker 1: scars uh to convey their supports. Yeah, so they are 189 00:11:50,360 --> 00:11:55,480 Speaker 1: very Uh they're lovely anti well not so lovely, but 190 00:11:55,520 --> 00:11:58,920 Speaker 1: they are anti Americans. They were they were the ones 191 00:11:58,960 --> 00:12:05,000 Speaker 1: together or of individually, but at the same time as 192 00:12:05,040 --> 00:12:11,240 Speaker 1: the Sorow's standard groups organize demonstrations against Israel and for 193 00:12:11,559 --> 00:12:18,319 Speaker 1: Hamas on October eighth, twenty twenty three, a day after 194 00:12:18,440 --> 00:12:23,920 Speaker 1: Hamas attacked and really massacred twelve hundred israelis right. 195 00:12:25,000 --> 00:12:27,400 Speaker 2: Right, So doctor, I only have and I'm sorry to 196 00:12:27,400 --> 00:12:29,360 Speaker 2: cut you off here, I only have about thirty seconds. 197 00:12:29,679 --> 00:12:31,559 Speaker 2: Could I ask you to just summarize it about thirty 198 00:12:31,559 --> 00:12:34,600 Speaker 2: seconds what people should know about George Soros and his 199 00:12:34,720 --> 00:12:37,679 Speaker 2: son Alex Soros and their activity and politics in America. 200 00:12:37,720 --> 00:12:39,960 Speaker 2: Could you tell us, bottom line what we ought to know. 201 00:12:40,240 --> 00:12:44,200 Speaker 1: They should buy. They should read the Sorus Agenda and 202 00:12:44,240 --> 00:12:46,360 Speaker 1: they will find out and go to my website and 203 00:12:46,600 --> 00:12:49,959 Speaker 1: see democracy that all. There is much more information which 204 00:12:50,040 --> 00:12:53,079 Speaker 1: had been written since the book was published and before 205 00:12:53,120 --> 00:12:56,800 Speaker 1: which is not in the book. But they should look 206 00:12:57,120 --> 00:13:00,360 Speaker 1: at all these groups that are operating against us, against 207 00:13:00,440 --> 00:13:06,000 Speaker 1: law enforcement, all the leftiece for transgenders, for anything that 208 00:13:06,760 --> 00:13:14,520 Speaker 1: they called justice, which causes injustice, including electing role prosecutors 209 00:13:14,559 --> 00:13:18,080 Speaker 1: and judges. Well they are elected in the coming election, 210 00:13:18,240 --> 00:13:22,240 Speaker 1: they should be looking into where is the money coming from, 211 00:13:22,400 --> 00:13:27,080 Speaker 1: who is funding the candidates, who is funding the demonstrations everywhere? 212 00:13:27,800 --> 00:13:30,960 Speaker 1: And they will be a little bit more. 213 00:13:31,679 --> 00:13:35,240 Speaker 2: I think enlightened. Yeah, I know, I already am doctor. 214 00:13:35,360 --> 00:13:37,560 Speaker 2: I really appreciate your time very very much. What an 215 00:13:37,600 --> 00:13:39,719 Speaker 2: important book. We'll have you back and continue to lean 216 00:13:39,760 --> 00:13:43,000 Speaker 2: on you for your expertise. Here the Soros Agenda, Doctor 217 00:13:43,679 --> 00:13:46,760 Speaker 2: Rachel Erenfeld, thank you so much for your time. Doctor, 218 00:13:46,800 --> 00:13:50,080 Speaker 2: Thank you. Hey, everybody's trying to save money where they can. 219 00:13:50,200 --> 00:13:52,520 Speaker 2: If you buy your own health insurance or if you're 220 00:13:52,520 --> 00:13:55,400 Speaker 2: on Obamacare, you know how expensive those premiums are getting. 221 00:13:55,440 --> 00:13:58,079 Speaker 2: It's why I've sent my own parents, my personal friends, 222 00:13:58,080 --> 00:14:01,280 Speaker 2: and my colleagues to John Ruman and team at Usmedicalplan 223 00:14:01,400 --> 00:14:04,559 Speaker 2: dot com. John works with one hundred different private health 224 00:14:04,600 --> 00:14:07,240 Speaker 2: insurance companies across the country to find you the very 225 00:14:07,240 --> 00:14:10,640 Speaker 2: best coverage at the very best rates. My own parents 226 00:14:10,720 --> 00:14:13,319 Speaker 2: saved four hundred dollars a month each on their Medicare 227 00:14:13,360 --> 00:14:17,000 Speaker 2: supplemental health insurance premiums reaching out to John Rouman and 228 00:14:17,120 --> 00:14:19,400 Speaker 2: US Medical Plan dot Com. I have a friend in 229 00:14:19,440 --> 00:14:22,520 Speaker 2: between jobs. She reached out to US Medical Plan to 230 00:14:22,600 --> 00:14:25,840 Speaker 2: replace her Cobra insurance rates. Saved six hundred dollars a month. 231 00:14:26,080 --> 00:14:29,280 Speaker 2: A personal friend who buys his own families health insurance 232 00:14:29,280 --> 00:14:31,280 Speaker 2: out of pocket, I send him to John and now 233 00:14:31,280 --> 00:14:33,800 Speaker 2: he's saving one thousand dollars a month. Listen, folks, this 234 00:14:34,040 --> 00:14:36,600 Speaker 2: is one of the easiest ways to save appreciable money 235 00:14:36,640 --> 00:14:39,560 Speaker 2: every month without sacrificing coverage. But you're not going to 236 00:14:39,640 --> 00:14:41,440 Speaker 2: know unless you reach out right now and have the 237 00:14:41,480 --> 00:14:44,480 Speaker 2: conversation eight seven seven four to one zero forty three 238 00:14:44,480 --> 00:14:47,480 Speaker 2: to twenty one or log onto us medical plan dot com. 239 00:14:47,760 --> 00:14:49,760 Speaker 2: It's been my pleasure and honor to talk about Bob 240 00:14:49,800 --> 00:14:52,360 Speaker 2: Spinato at Williamsburg Dentel in Brumal just off the Blue 241 00:14:52,400 --> 00:14:55,320 Speaker 2: Root as my dentist and friend of over twelve years now, 242 00:14:55,360 --> 00:14:58,640 Speaker 2: but now he has two brand new associates, his daughter 243 00:14:58,680 --> 00:15:01,240 Speaker 2: Alexa and doctor Geht. Tell them about them, Bob. 244 00:15:01,520 --> 00:15:04,760 Speaker 4: Yeah, it's really a thrill for me to have both 245 00:15:04,800 --> 00:15:07,800 Speaker 4: the dentists and my daughter and doctor Jared Gennis. One 246 00:15:07,840 --> 00:15:09,600 Speaker 4: of the things that I love about them both is 247 00:15:09,640 --> 00:15:11,600 Speaker 4: they when they don't have a patient in their chair, 248 00:15:11,640 --> 00:15:13,640 Speaker 4: they're in my room watching what I do and trying 249 00:15:13,680 --> 00:15:16,040 Speaker 4: to learn from me. And we hear enough about the 250 00:15:16,080 --> 00:15:18,280 Speaker 4: new generation and if they think they know everything and 251 00:15:18,280 --> 00:15:20,560 Speaker 4: they don't want to work, and I've got two dentists 252 00:15:20,560 --> 00:15:23,240 Speaker 4: who are really really want to learn and really really 253 00:15:23,320 --> 00:15:26,920 Speaker 4: willing to work hard, and I enjoy learning from them. 254 00:15:26,960 --> 00:15:29,360 Speaker 4: They've brought some new skills and some new technologies to 255 00:15:29,440 --> 00:15:32,760 Speaker 4: our office that will be great benefits to our patients. 256 00:15:32,760 --> 00:15:35,760 Speaker 4: And so, if anything, I think that having them both 257 00:15:35,800 --> 00:15:39,200 Speaker 4: there is going to expand my and lent in my 258 00:15:39,240 --> 00:15:40,720 Speaker 4: career as opposed to shorten my career. 259 00:15:41,000 --> 00:15:42,920 Speaker 2: Pick up the phone or go online make that appointment 260 00:15:42,960 --> 00:15:45,120 Speaker 2: six p one oh three five three twenty seven hundred 261 00:15:45,240 --> 00:15:48,400 Speaker 2: or Williamsburg dash Dental dot com. I was just talking 262 00:15:48,440 --> 00:15:50,600 Speaker 2: about Josh Shapiro, and I'm sorry I did not forget. 263 00:15:50,680 --> 00:15:53,440 Speaker 2: I just got distracted for a minute, Josh Shapiro claims. 264 00:15:53,520 --> 00:15:55,240 Speaker 2: And this doesn't surprise me even a little bit, does 265 00:15:55,280 --> 00:15:58,800 Speaker 2: it you? I told you, well, not you. A lot 266 00:15:58,840 --> 00:16:01,000 Speaker 2: of you are new to the show. But just before 267 00:16:01,040 --> 00:16:04,560 Speaker 2: the election, of course, I was primarily spending my time 268 00:16:04,560 --> 00:16:08,600 Speaker 2: talking to the constituents of the Keystone State, as we 269 00:16:08,720 --> 00:16:12,160 Speaker 2: originate out of Philadelphia, and so I said to our 270 00:16:12,200 --> 00:16:15,800 Speaker 2: audience at that time, I was one hundred percent sure 271 00:16:16,120 --> 00:16:19,160 Speaker 2: that Little Josh turned her down, not the other way around. 272 00:16:19,800 --> 00:16:22,640 Speaker 2: Everyone in the Philadelphia area who's a leftist was excited 273 00:16:22,640 --> 00:16:26,120 Speaker 2: that Little Josh was going to become the beep. They 274 00:16:26,160 --> 00:16:28,920 Speaker 2: were sure of it. Everyone was sure Kamala Harris was 275 00:16:28,960 --> 00:16:30,920 Speaker 2: going to be the next president and Little Josh was 276 00:16:30,960 --> 00:16:34,600 Speaker 2: going to be her beep until they got together and 277 00:16:34,680 --> 00:16:38,400 Speaker 2: it didn't happen, and ed, did we not talk about 278 00:16:38,400 --> 00:16:41,080 Speaker 2: this at nauseum? I said, I don't believe for a 279 00:16:41,200 --> 00:16:43,800 Speaker 2: minute she moved on and chose the human mascot up 280 00:16:43,840 --> 00:16:47,000 Speaker 2: in Minneapolis. I don't believe it for a minute. I 281 00:16:47,080 --> 00:16:50,880 Speaker 2: think he turned her down. And now it sure looks 282 00:16:50,920 --> 00:16:53,240 Speaker 2: like that's exactly what happened. He thought she was a 283 00:16:53,240 --> 00:16:57,080 Speaker 2: stone cold, lightweight loser. He had ambitions well beyond her. 284 00:16:57,880 --> 00:16:59,560 Speaker 2: He knew she was going to go down in flames. 285 00:16:59,760 --> 00:17:02,560 Speaker 2: And now we find out he's even telling media. And 286 00:17:02,600 --> 00:17:04,440 Speaker 2: whether this is true or not, it doesn't matter. He's 287 00:17:04,480 --> 00:17:08,520 Speaker 2: clearly trying to take her down. She's out there flirting 288 00:17:08,560 --> 00:17:11,879 Speaker 2: with coming back. The media is fanning the flames that 289 00:17:11,920 --> 00:17:13,879 Speaker 2: she might try to take a second bite at the apple. 290 00:17:14,560 --> 00:17:17,720 Speaker 2: Little Josh wants his turn now because now he's the 291 00:17:17,760 --> 00:17:20,919 Speaker 2: show and everybody's telling him, and he thinks to himself, well, 292 00:17:20,960 --> 00:17:24,200 Speaker 2: now's my time to shine. Baby. I'm mister moderate from Pennsylvania. 293 00:17:24,280 --> 00:17:31,000 Speaker 2: One problem, though Jewish cackle Bridges didn't like that. The 294 00:17:31,040 --> 00:17:34,199 Speaker 2: people around Cackle Bridges didn't like that. They don't like Jews, 295 00:17:34,400 --> 00:17:38,720 Speaker 2: they just don't anti Semitic as they come. Josh claims 296 00:17:38,960 --> 00:17:41,399 Speaker 2: that Cackle Bridges said, Hey, you didn't work for Israel, 297 00:17:41,440 --> 00:17:45,040 Speaker 2: did you. Can you believe that that happened? Now, whether 298 00:17:45,080 --> 00:17:47,000 Speaker 2: they did or not, I wouldn't hold it passed Josh 299 00:17:47,000 --> 00:17:50,080 Speaker 2: to lie and make it up, But I also one 300 00:17:50,160 --> 00:17:52,479 Speaker 2: hundred percent believe it happened. Which do you think it is? 301 00:17:52,840 --> 00:17:55,760 Speaker 2: Either way, it ruins her in my opinion. 302 00:17:55,640 --> 00:17:58,879 Speaker 5: I'm gonna say that I think it happened because there 303 00:17:58,960 --> 00:18:01,600 Speaker 5: was something that the media was going after him for 304 00:18:02,119 --> 00:18:04,760 Speaker 5: a paper he wrote or something when he was younger, 305 00:18:05,560 --> 00:18:08,159 Speaker 5: saying that he, you know, he loved Israel and was 306 00:18:08,200 --> 00:18:11,000 Speaker 5: proud of Israel and wanted to be like in the 307 00:18:11,040 --> 00:18:14,679 Speaker 5: Israeli forces or something like that, if I'm remembering correctly, 308 00:18:14,720 --> 00:18:16,119 Speaker 5: So I do think that happened. 309 00:18:16,160 --> 00:18:18,720 Speaker 2: Yeah, of course, now he can't run away from being 310 00:18:18,800 --> 00:18:21,560 Speaker 2: Jewish fast enough. I mean, he understands that if he 311 00:18:21,600 --> 00:18:26,520 Speaker 2: talks to Jewish that's going to disenfranchise a whole core constituency. 312 00:18:26,560 --> 00:18:28,800 Speaker 2: So they've got a real problem there. And I'm just 313 00:18:28,840 --> 00:18:31,080 Speaker 2: torn I was on a call yesterday with some people. 314 00:18:31,119 --> 00:18:32,840 Speaker 2: I'm really torn. I don't know whether I want to 315 00:18:32,880 --> 00:18:36,359 Speaker 2: give to the Kamala Harris for President campaign or the 316 00:18:36,440 --> 00:18:42,040 Speaker 2: Josh Shapiro for President campaign. I'm not sure, or maybe both, Fastedi, 317 00:18:42,119 --> 00:18:44,119 Speaker 2: I can't tell you how excited that prospect makes me 318 00:18:44,240 --> 00:18:48,359 Speaker 2: watching the two of them slug it out, just because 319 00:18:49,200 --> 00:18:52,480 Speaker 2: he's a Jewish cracker and she's an empty suit white 320 00:18:52,520 --> 00:18:56,399 Speaker 2: lady or black lady who's got nothing to offer, Like 321 00:18:56,920 --> 00:19:01,480 Speaker 2: black folks don't believe her. She's a total fraul. She's 322 00:19:01,520 --> 00:19:04,439 Speaker 2: an insincere, empty vessel. She's not gonna do better the 323 00:19:04,480 --> 00:19:06,800 Speaker 2: second time around. Nobody believe her the first time. 324 00:19:07,720 --> 00:19:10,399 Speaker 5: No, But do you think that she believes that she 325 00:19:10,480 --> 00:19:11,600 Speaker 5: can do better this time? 326 00:19:11,760 --> 00:19:13,879 Speaker 2: Like? Do you think that sure she does? Wow? But 327 00:19:13,920 --> 00:19:17,399 Speaker 2: if a billion dollars can't do it? Yeah, I'm sorry, 328 00:19:17,720 --> 00:19:20,680 Speaker 2: Like you can rehearse all you want. If a billion dollars, 329 00:19:21,080 --> 00:19:22,879 Speaker 2: We've never seen the amount of money spent on a 330 00:19:22,880 --> 00:19:25,919 Speaker 2: woman as we saw there a billion dollars and she 331 00:19:25,960 --> 00:19:27,840 Speaker 2: blew every nickel of it and then went into dead 332 00:19:27,880 --> 00:19:30,800 Speaker 2: on top of that, and then still lost spectacularly too. 333 00:19:31,119 --> 00:19:34,920 Speaker 2: Donald Trump, I remind you where we are today. So look, 334 00:19:34,960 --> 00:19:39,520 Speaker 2: as far as I'm concerned, my broader point is, I guess, 335 00:19:39,560 --> 00:19:42,359 Speaker 2: let me back away and just say it's all for show. 336 00:19:42,560 --> 00:19:46,560 Speaker 2: It's all consumption. All this identity politics stuff is collapsing 337 00:19:46,600 --> 00:19:49,400 Speaker 2: on them. Get it. The American left has built their 338 00:19:49,600 --> 00:19:54,280 Speaker 2: entire identity on identity politics, and now they're all colliding. 339 00:19:54,920 --> 00:20:00,720 Speaker 2: Then they don't jive. Renee Good does not matter to 340 00:20:00,840 --> 00:20:05,520 Speaker 2: a bunch of radical leftist black people. A white Jew 341 00:20:06,280 --> 00:20:09,600 Speaker 2: is not welcome in the Democrat Party as their front runner. 342 00:20:11,320 --> 00:20:14,640 Speaker 2: The empty vessel black lady does not impress black men 343 00:20:14,880 --> 00:20:19,840 Speaker 2: at all. The historic first black president came and lectured 344 00:20:19,880 --> 00:20:22,040 Speaker 2: them and said, hey, she's a black lady, get on board, 345 00:20:22,080 --> 00:20:23,560 Speaker 2: and they were like, screw you, and a lot of 346 00:20:23,600 --> 00:20:28,960 Speaker 2: them voted Trump. It's all collapsing ed. And best of all, Latinos, 347 00:20:29,160 --> 00:20:32,080 Speaker 2: who are supposed to be the most outraged, actually seem 348 00:20:32,119 --> 00:20:35,639 Speaker 2: to be the most supportive by polling of keeping people 349 00:20:35,680 --> 00:20:39,960 Speaker 2: from illegally crossing the Southern border, which is why the 350 00:20:40,000 --> 00:20:42,960 Speaker 2: only people you see out in the streets of Minneapolis 351 00:20:43,000 --> 00:20:46,959 Speaker 2: blowing whistles are largely a bunch of old and or 352 00:20:47,160 --> 00:20:53,560 Speaker 2: young white people. The lesbian Cracker and a bunch of 353 00:20:53,640 --> 00:20:56,800 Speaker 2: old white boomers who harkened back to a time of 354 00:20:56,840 --> 00:21:01,120 Speaker 2: braw burning or whatever. This is the same constituent constituency 355 00:21:01,119 --> 00:21:03,119 Speaker 2: for the left we see in the streets all the time. 356 00:21:03,680 --> 00:21:08,760 Speaker 2: It's a confusing thing. I don't know. It's people like 357 00:21:08,800 --> 00:21:11,960 Speaker 2: my mother and father's age and their seventies, you know, 358 00:21:12,040 --> 00:21:16,360 Speaker 2: the salt and pepper or white headed boomer. And then 359 00:21:16,400 --> 00:21:19,840 Speaker 2: the militant young lesbian lady. What is their alliance? Ed, 360 00:21:20,080 --> 00:21:23,840 Speaker 2: We've talked about this odd alliance before. The old bra 361 00:21:24,000 --> 00:21:26,399 Speaker 2: burning lady from the sixties who still thinks it's the 362 00:21:26,440 --> 00:21:30,359 Speaker 2: sixties and she I don't know, she's empty and lost 363 00:21:30,400 --> 00:21:34,480 Speaker 2: for meaning. And then the young militant lesbian lady. They 364 00:21:34,520 --> 00:21:37,400 Speaker 2: have formed an alliance. It's a weird one. Katie Miller, 365 00:21:37,440 --> 00:21:40,760 Speaker 2: Stephen Miller's wife, actually posted something yesterday on social media 366 00:21:40,800 --> 00:21:44,200 Speaker 2: about the young lesbian woman. Anyway, just in case you're 367 00:21:44,240 --> 00:21:47,280 Speaker 2: studying this, it's a real deal. Survey show seventy percent 368 00:21:47,320 --> 00:21:53,040 Speaker 2: of childless millennial women view pets as children. Fertility racer declining, 369 00:21:53,080 --> 00:21:55,879 Speaker 2: cat and dog ownership is on a steep increase. So 370 00:21:55,920 --> 00:22:00,879 Speaker 2: it's a bunch of childless lesbians. As Renee Goode was interestingly. 371 00:22:00,960 --> 00:22:04,560 Speaker 2: I mean she had three children but then ended up 372 00:22:04,960 --> 00:22:07,840 Speaker 2: marrying even though she hadn't really a woman. Both her 373 00:22:07,920 --> 00:22:12,879 Speaker 2: husbands left her, so's she was probably mentally ill, safe 374 00:22:12,920 --> 00:22:16,199 Speaker 2: to say, many others don't have children at all. And 375 00:22:16,200 --> 00:22:18,320 Speaker 2: then you've got all these old aging boomers who still 376 00:22:18,320 --> 00:22:20,920 Speaker 2: think it's Vietnam or something. And I don't know they're board. 377 00:22:21,240 --> 00:22:23,000 Speaker 2: Is it retirement? Any thoughts? 378 00:22:23,119 --> 00:22:23,239 Speaker 4: Ed? 379 00:22:23,480 --> 00:22:24,280 Speaker 2: I no, I do. 380 00:22:24,760 --> 00:22:28,920 Speaker 5: So we know the the affluent, white suburban woman, right, 381 00:22:28,960 --> 00:22:32,479 Speaker 5: we know their deal. We got that this Maybe it 382 00:22:32,560 --> 00:22:35,240 Speaker 5: is a rejection in that time, maybe at a time 383 00:22:35,240 --> 00:22:37,760 Speaker 5: when it was peace, love and rock and roll. Maybe 384 00:22:37,800 --> 00:22:41,200 Speaker 5: you know, that's all they partook partakeed in at the time, 385 00:22:41,680 --> 00:22:43,480 Speaker 5: was the peace, love, rock and roll in the sex 386 00:22:43,520 --> 00:22:45,840 Speaker 5: and now since then they haven't been able to, you know, 387 00:22:46,200 --> 00:22:48,760 Speaker 5: have a family or any meaningful relationships. 388 00:22:49,240 --> 00:22:51,800 Speaker 2: Yeah, maybe they miss it. I don't remember West Coast Willie, 389 00:22:51,880 --> 00:22:53,560 Speaker 2: we had the peace last week. He was out there 390 00:22:53,560 --> 00:22:56,040 Speaker 2: in Huntingdon Beach. Remember all the people he profiled. Was 391 00:22:56,080 --> 00:22:58,119 Speaker 2: there a single person of color in that entire piece 392 00:22:58,119 --> 00:22:59,719 Speaker 2: that he filed? I don't think that. I think they 393 00:22:59,720 --> 00:23:02,000 Speaker 2: were all salt and pepper, gray white ladies, I think so. 394 00:23:02,240 --> 00:23:06,480 Speaker 5: Yeah. And it's funny you bring that up, Chris, because 395 00:23:06,480 --> 00:23:09,560 Speaker 5: as part of that coverage, the woman said he asked 396 00:23:09,560 --> 00:23:12,560 Speaker 5: about the Maga friends, and the woman the exact woman 397 00:23:12,600 --> 00:23:15,680 Speaker 5: you're describing, the brad burning Gara said, Oh, I don't have. 398 00:23:15,600 --> 00:23:17,160 Speaker 2: I cut them all off. I don't have any Maga 399 00:23:17,160 --> 00:23:17,760 Speaker 2: friends anymore. 400 00:23:17,800 --> 00:23:20,600 Speaker 5: So these are people that maybe don't have relationships, and 401 00:23:20,640 --> 00:23:22,879 Speaker 5: these are the relationships they've found over the years. 402 00:23:23,520 --> 00:23:26,600 Speaker 2: And they're all on cable news, and they all run 403 00:23:26,640 --> 00:23:31,040 Speaker 2: cable newsrooms. It's like I figured out who they are. 404 00:23:31,040 --> 00:23:33,240 Speaker 2: And by the way, no disrespect, folks, I don't mean. 405 00:23:33,640 --> 00:23:36,679 Speaker 2: I don't mean to cast dispersions on everyone who is 406 00:23:36,720 --> 00:23:39,240 Speaker 2: in the baby boomer demographic or who is in their 407 00:23:39,280 --> 00:23:42,960 Speaker 2: sixty seventies eighty. You know, just because you have salt 408 00:23:42,960 --> 00:23:46,480 Speaker 2: and pepper hair or white hair, as do I. That's 409 00:23:46,560 --> 00:23:48,560 Speaker 2: not to castigate you or mock you in anyway. I'm 410 00:23:48,560 --> 00:23:54,480 Speaker 2: just saying there's a very specific type. They are late 411 00:23:54,560 --> 00:24:02,240 Speaker 2: sixties seventy something white ladies and their rabbit angry. There's 412 00:24:02,280 --> 00:24:06,200 Speaker 2: the suburban white mom, the wine mom. She's a chunk 413 00:24:06,240 --> 00:24:09,240 Speaker 2: of it, though probably not the biggest size, the biggest 414 00:24:09,280 --> 00:24:15,240 Speaker 2: proportion of what we're watching right now is the cat lady. 415 00:24:16,520 --> 00:24:19,640 Speaker 2: Jadvan's actually coined that term that made them so furious 416 00:24:19,680 --> 00:24:23,959 Speaker 2: back then, the cat lady. It's true, these childless lesbians 417 00:24:24,440 --> 00:24:29,680 Speaker 2: who treat pets's children, and then these senior citizen women 418 00:24:29,760 --> 00:24:32,439 Speaker 2: who have nothing but time on their hands. This is 419 00:24:32,520 --> 00:24:35,480 Speaker 2: what makes up what we're watching. And then Eric Holder 420 00:24:35,520 --> 00:24:38,520 Speaker 2: shows up and it's like, yeah, power to the people, 421 00:24:38,600 --> 00:24:40,400 Speaker 2: and all the blacks are sitting around going, what are 422 00:24:40,400 --> 00:24:46,080 Speaker 2: you what? This isn't what. This isn't our scene, man, 423 00:24:46,280 --> 00:24:49,359 Speaker 2: Don't try to make Renee Good our hood ornament. That's 424 00:24:49,359 --> 00:24:54,159 Speaker 2: not our deal. This isn't the Edmund Pettis Bridge so 425 00:24:54,200 --> 00:24:57,679 Speaker 2: over at the Federalist why leftist white women are leading 426 00:24:57,720 --> 00:25:01,159 Speaker 2: Democrat terrorism in Minnesota. It's a brilliant piece by a 427 00:25:01,160 --> 00:25:05,000 Speaker 2: guy called Joshua Slocum, and I wish I had time 428 00:25:05,000 --> 00:25:08,840 Speaker 2: to read it all. While leftist women reacting to the 429 00:25:08,840 --> 00:25:11,920 Speaker 2: shooting of Renee Good by an ice officer last week 430 00:25:12,000 --> 00:25:15,200 Speaker 2: with screaming tantrums and public meltdowns, they're stepping up their 431 00:25:15,240 --> 00:25:17,960 Speaker 2: harassment of ice officers. We all know that, but anyone 432 00:25:17,960 --> 00:25:20,159 Speaker 2: who's paid attention to the news and social media this 433 00:25:20,160 --> 00:25:21,960 Speaker 2: week is getting their eyes open to the level of 434 00:25:22,000 --> 00:25:28,000 Speaker 2: emotional derangement in modern leftist women. They're pitching profane fits 435 00:25:28,080 --> 00:25:31,679 Speaker 2: on the street, abusing ice officers, perhaps thinking they'll have 436 00:25:31,760 --> 00:25:36,520 Speaker 2: better luck in that pursuit than good did. At least 437 00:25:36,560 --> 00:25:41,840 Speaker 2: sixty years of mainstreamed feminism has put American culture under 438 00:25:41,880 --> 00:25:47,440 Speaker 2: the stiletto heel of entitled and exploitative women. I ain't 439 00:25:47,480 --> 00:25:49,920 Speaker 2: none of these women wearing stilettos. Let's be clear, they're 440 00:25:49,960 --> 00:25:54,960 Speaker 2: all burkenstocks at best. I mean, anyway, they've come a 441 00:25:54,960 --> 00:25:57,520 Speaker 2: long way from that. That's my only quibble with mister 442 00:25:57,520 --> 00:25:59,879 Speaker 2: Slocum's piece here. They've come a long way from the 443 00:26:00,040 --> 00:26:03,200 Speaker 2: day because there's nothing feminine about any of these screaming banchees, 444 00:26:03,480 --> 00:26:05,840 Speaker 2: not it, I mean nothing feminine right ed? I mean, 445 00:26:05,920 --> 00:26:08,160 Speaker 2: is there a single feminine bone in any of these 446 00:26:08,160 --> 00:26:15,119 Speaker 2: women's screeching bodies? I no, No, of course, the gender 447 00:26:15,160 --> 00:26:18,840 Speaker 2: pay gap is a myth. Any legitimate grievances feminism may 448 00:26:18,880 --> 00:26:22,280 Speaker 2: have had were resolved decades ago. But then he gets 449 00:26:22,320 --> 00:26:25,160 Speaker 2: into the psychological makeup of these people. And I want 450 00:26:25,200 --> 00:26:27,000 Speaker 2: to share some of it with you next because it's 451 00:26:27,000 --> 00:26:31,040 Speaker 2: really pretty special and it's key to understand. I've written 452 00:26:31,040 --> 00:26:33,080 Speaker 2: this out at X so you can share it with 453 00:26:33,160 --> 00:26:37,919 Speaker 2: someone that you love. The makeup of the street theater 454 00:26:38,200 --> 00:26:44,680 Speaker 2: that we're watching right now, angry white boomer women, raging, 455 00:26:45,000 --> 00:26:53,320 Speaker 2: white childless lesbians, cowed low t white men. Got it. 456 00:26:54,119 --> 00:26:56,560 Speaker 2: That is the makeup of the street theater that we're 457 00:26:56,600 --> 00:27:03,000 Speaker 2: watching right now. Angry white boomer women, white childless lesbians, cowed, 458 00:27:03,200 --> 00:27:07,520 Speaker 2: low tee white men. Those three groups make up the 459 00:27:07,680 --> 00:27:11,280 Speaker 2: entirety of the street theater. It gets only about as 460 00:27:11,359 --> 00:27:14,920 Speaker 2: dark as Don Lemon. That's about the only melanin in 461 00:27:14,960 --> 00:27:19,240 Speaker 2: this entire thing, if you even count him. People of 462 00:27:19,280 --> 00:27:24,000 Speaker 2: color are not buying this lie about ice, because in fact, 463 00:27:24,080 --> 00:27:27,320 Speaker 2: it is people of color in this country legal citizens 464 00:27:27,359 --> 00:27:30,200 Speaker 2: of this country, either people who have immigrated here legally 465 00:27:30,320 --> 00:27:32,639 Speaker 2: or people who reside here legally. It is people of 466 00:27:32,680 --> 00:27:37,560 Speaker 2: color legally in this country, Americans who are most penalized 467 00:27:37,760 --> 00:27:41,080 Speaker 2: by illegals breaking into this country. And they know it, 468 00:27:42,640 --> 00:27:47,280 Speaker 2: and it's why it's only lily white, childless lesbians and 469 00:27:47,400 --> 00:27:52,200 Speaker 2: boomers in the streets pretending this is a thing. Period. 470 00:27:53,080 --> 00:27:56,960 Speaker 2: Back to the peace at the Federalist again. This is 471 00:27:57,000 --> 00:28:00,880 Speaker 2: a piece by Joshua Slocum. How did many leftist American 472 00:28:00,920 --> 00:28:03,919 Speaker 2: women decide that young foreign men who jump the border 473 00:28:03,920 --> 00:28:07,800 Speaker 2: are innocent victims in need of their maternal protection instead 474 00:28:07,800 --> 00:28:10,200 Speaker 2: of the American girls and women entitled to be shielded 475 00:28:10,240 --> 00:28:13,720 Speaker 2: from these men. The answer appears to be cluster B 476 00:28:14,040 --> 00:28:18,840 Speaker 2: personality disorders. These are deep in grain characteristics. Those with 477 00:28:18,960 --> 00:28:24,480 Speaker 2: such disorders are fundamentally narcissistic, emotionally unstable, and often disconnected 478 00:28:24,520 --> 00:28:28,080 Speaker 2: from reality. If you know these people, this is it textbook. 479 00:28:28,800 --> 00:28:34,600 Speaker 2: I know these people, fundamentally narcissistic, emotionally unstable, often disconnected 480 00:28:34,600 --> 00:28:37,399 Speaker 2: from reality. But do not let the name fool you. 481 00:28:37,520 --> 00:28:41,360 Speaker 2: The term disorder should not be taken to mean disability. 482 00:28:42,120 --> 00:28:45,240 Speaker 2: While these severe mental conditions are grouped under the headings 483 00:28:45,240 --> 00:28:48,680 Speaker 2: of psychiatry and psychology, they are not medical conditions but 484 00:28:48,880 --> 00:28:53,360 Speaker 2: moral conditions. Psychologist George Simon is one of the few 485 00:28:53,400 --> 00:28:57,120 Speaker 2: professionals who recognize that these are character and moral distortions, 486 00:28:57,480 --> 00:29:01,080 Speaker 2: not blameless medical ailments. To the person with a cluster 487 00:29:01,240 --> 00:29:06,160 Speaker 2: B disorder, up is down, black is white, evil is good, 488 00:29:06,320 --> 00:29:10,400 Speaker 2: and perpetrators are victims. That is what we're seeing in 489 00:29:10,440 --> 00:29:16,600 Speaker 2: these female leftist protesters. Cluster B personalities. They're all about 490 00:29:18,200 --> 00:29:24,760 Speaker 2: disregulated emotions, usually rage and suicidal despair, twisting reality into 491 00:29:25,280 --> 00:29:29,000 Speaker 2: its opposite. As difficult as it is for stable people 492 00:29:29,080 --> 00:29:33,720 Speaker 2: to grasp this, the model explains otherwise incoherent behavior, there 493 00:29:33,760 --> 00:29:37,200 Speaker 2: is nothing new about this type of derangement. What's different 494 00:29:37,240 --> 00:29:40,960 Speaker 2: today is the prevalence. When I became aware of the 495 00:29:41,040 --> 00:29:44,600 Speaker 2: dramatic and erratic personality disorders ten years ago, it was 496 00:29:44,680 --> 00:29:47,880 Speaker 2: clear the kind of psychology behind domestic and child abuse 497 00:29:47,920 --> 00:29:53,000 Speaker 2: had metastasized into wider society. When you see these deranged, 498 00:29:53,120 --> 00:29:58,640 Speaker 2: screaming street demonstrators, they probably look to you like toddler tantrums, 499 00:29:58,680 --> 00:30:02,400 Speaker 2: and that is because they are are. Cluster b personalities 500 00:30:02,440 --> 00:30:07,120 Speaker 2: are characterized by arrested emotional development around the toddler stage. 501 00:30:07,560 --> 00:30:11,080 Speaker 2: We must deal with childish behavior and adults the way 502 00:30:11,160 --> 00:30:15,080 Speaker 2: we deal with it in children. And I'm not done 503 00:30:15,080 --> 00:30:17,720 Speaker 2: with this yet. It's just too good. I will continue. 504 00:30:17,840 --> 00:30:22,320 Speaker 2: Joshua Slocum the piece at the Federalist, Why leftist white 505 00:30:22,320 --> 00:30:26,400 Speaker 2: women are leading domestic terrorism in Minnesota. It's important to 506 00:30:26,440 --> 00:30:32,160 Speaker 2: understand low te white cowed men, childless, rabid lesbian women, 507 00:30:32,880 --> 00:30:35,960 Speaker 2: and white boomer ladies from the broad Burning era. Mike 508 00:30:36,080 --> 00:30:39,040 Speaker 2: Lindell and the My Pillow folks are back. 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You're a fighter. I like that about you. 546 00:32:26,920 --> 00:32:28,840 Speaker 2: Hope you'll leave it a five star review and a 547 00:32:28,840 --> 00:32:31,840 Speaker 2: written review Apple Podcasts, Spotify. We'll see you next time 548 00:32:31,880 --> 00:32:34,960 Speaker 2: here on The Christa Gall Show Podcast. The Chris de 549 00:32:35,040 --> 00:32:36,400 Speaker 2: gall Show Podcast