1 00:00:00,880 --> 00:00:02,720 Speaker 1: All right, thank you Scott Shaddon, Thanks to all of 2 00:00:02,960 --> 00:00:05,720 Speaker 1: you for being with us. Right down our toll free 3 00:00:05,880 --> 00:00:07,440 Speaker 1: telephone number you want to be a part of the 4 00:00:07,440 --> 00:00:12,080 Speaker 1: program at eight hundred nine one Sean if you would 5 00:00:12,360 --> 00:00:15,800 Speaker 1: like to join us. I can't help it. I cannot 6 00:00:15,800 --> 00:00:18,880 Speaker 1: help it. I am obsessed with why we don't have 7 00:00:19,000 --> 00:00:26,560 Speaker 1: answers about these drones now? Now they're flying over New Jersey, Connecticut, reports, 8 00:00:26,640 --> 00:00:31,960 Speaker 1: New York, and even Pennsylvania. We had drones, apparently, according 9 00:00:32,000 --> 00:00:35,919 Speaker 1: to reports, Pentagon has not disclosed the possible origin multiple 10 00:00:36,440 --> 00:00:41,120 Speaker 1: drones spotted forty nine in a day last Sunday. Here 11 00:00:41,159 --> 00:00:44,479 Speaker 1: we are it is November eighteenth, was the day of 12 00:00:44,520 --> 00:00:48,720 Speaker 1: the first spotting. What's today the thirteenth? We nearly a 13 00:00:48,800 --> 00:00:53,600 Speaker 1: full month in and you know twenty however, many days 14 00:00:53,640 --> 00:01:00,639 Speaker 1: into this quote phenomenon, the Pentagon, the FBI, Biden Harris 15 00:01:00,920 --> 00:01:06,200 Speaker 1: may Orcis, nobody has a single answer about the origins 16 00:01:06,280 --> 00:01:09,240 Speaker 1: of these mysterious drones. You know, the only answer we 17 00:01:09,319 --> 00:01:14,920 Speaker 1: got is from this idiot National Security advisor John Kirby, 18 00:01:15,360 --> 00:01:18,559 Speaker 1: and he just brushed the whole thing off and even 19 00:01:18,600 --> 00:01:21,600 Speaker 1: basically suggested, you know, don't believe you're lying. Eyes don't 20 00:01:21,600 --> 00:01:25,959 Speaker 1: believe the videos, don't believe eyewitness testimony. Look, you can 21 00:01:26,000 --> 00:01:27,840 Speaker 1: say a lot of things about people from New Jersey. 22 00:01:27,880 --> 00:01:30,160 Speaker 1: I have a lot of friends in New Jersey. However, 23 00:01:31,240 --> 00:01:35,440 Speaker 1: all these people and all these videos and all these pictures, 24 00:01:35,920 --> 00:01:36,600 Speaker 1: I don't think that. 25 00:01:36,680 --> 00:01:37,600 Speaker 2: I don't think they're lying. 26 00:01:37,680 --> 00:01:41,320 Speaker 1: I think there's one or two things going on here. 27 00:01:42,360 --> 00:01:47,840 Speaker 1: Either the government doesn't know where these drones originated, from, 28 00:01:47,920 --> 00:01:51,320 Speaker 1: where they were launched from, who's operating them, what their 29 00:01:51,360 --> 00:01:55,640 Speaker 1: capabilities are like, are they surveillance drones or are they 30 00:01:55,720 --> 00:01:59,240 Speaker 1: drones that have a military payload of some kind. Do 31 00:01:59,320 --> 00:02:02,360 Speaker 1: they represent a clear and present danger to the country? 32 00:02:02,400 --> 00:02:06,920 Speaker 1: But you know, now the Pentagon and John Kirby, you know, 33 00:02:07,360 --> 00:02:08,680 Speaker 1: is the only thing they're saying. 34 00:02:08,720 --> 00:02:10,000 Speaker 2: We have not been able to. 35 00:02:10,080 --> 00:02:15,040 Speaker 1: And neither have state and local law enforcement authorities, corroborate 36 00:02:15,680 --> 00:02:21,720 Speaker 1: any of the reported visual sightings. Why so, are you 37 00:02:21,840 --> 00:02:26,240 Speaker 1: suggesting that all of these these people, all of these photos, 38 00:02:26,440 --> 00:02:30,040 Speaker 1: all of these videos are one big lie because I 39 00:02:30,040 --> 00:02:33,519 Speaker 1: don't believe you. I don't believe the people that lied 40 00:02:33,560 --> 00:02:37,000 Speaker 1: about the Chinese fire balloon. I don't believe the people 41 00:02:37,600 --> 00:02:41,120 Speaker 1: that for four years lied about Joe's cognitive state. I 42 00:02:41,160 --> 00:02:44,880 Speaker 1: don't believe the people that lied and said the border's 43 00:02:44,919 --> 00:02:50,120 Speaker 1: secure and the border's been closed, when our eyes showed 44 00:02:50,200 --> 00:02:55,160 Speaker 1: us something very differently. And now we have terrorists, cartel members, 45 00:02:55,320 --> 00:03:01,320 Speaker 1: gang members, murderers, rapists, more fentanyl than ever before, other 46 00:03:01,440 --> 00:03:05,920 Speaker 1: violent criminals all in the country. So I just, you know, 47 00:03:06,040 --> 00:03:09,320 Speaker 1: a saving for somebody who wants to, you know, buy 48 00:03:09,360 --> 00:03:13,680 Speaker 1: a bridge that doesn't exist somewhere, but you do have 49 00:03:13,800 --> 00:03:17,120 Speaker 1: the I think he's an idiot, but Governor Murphy even saying, 50 00:03:17,200 --> 00:03:20,400 Speaker 1: oh yeah, they're highly sophisticated and as soon as you 51 00:03:20,440 --> 00:03:24,000 Speaker 1: put eyes on them, they go dark, all right, So 52 00:03:24,280 --> 00:03:27,720 Speaker 1: even the governor, even all these elected representatives in New 53 00:03:27,800 --> 00:03:32,480 Speaker 1: Jersey either they've been bamboozled also into what a mirage 54 00:03:32,560 --> 00:03:36,440 Speaker 1: or imaging. Here's here's why I'm suspicious. It's one or 55 00:03:36,480 --> 00:03:40,880 Speaker 1: two things here. It's either they don't know, and that's 56 00:03:40,920 --> 00:03:44,800 Speaker 1: the scarier scenario for me. And it's the scarier scenario 57 00:03:44,960 --> 00:03:51,000 Speaker 1: because if the United States of America since November eighteenth 58 00:03:51,040 --> 00:03:55,240 Speaker 1: and it's December the twelfth, doesn't know what the hell 59 00:03:55,360 --> 00:03:58,360 Speaker 1: is going on, and we're describing drones the size of 60 00:03:58,520 --> 00:04:03,800 Speaker 1: school buses that make very loud noises and like the 61 00:04:03,880 --> 00:04:08,720 Speaker 1: sound of a Harley Davidson engine, and that they're flying 62 00:04:08,760 --> 00:04:13,720 Speaker 1: at low altitudes and they're flying over sensitive areas and 63 00:04:14,200 --> 00:04:17,440 Speaker 1: they don't know. That is the scarier scenario to me. 64 00:04:18,440 --> 00:04:21,719 Speaker 1: If they really truly don't know, now, they may end 65 00:04:21,800 --> 00:04:25,800 Speaker 1: up being nothing. It may end up being something that 66 00:04:25,880 --> 00:04:30,760 Speaker 1: they themselves are involved in, and maybe they want to 67 00:04:30,839 --> 00:04:34,599 Speaker 1: keep it top secret. I can't imagine any scenario where 68 00:04:34,600 --> 00:04:38,839 Speaker 1: they would be flying these things over populated areas though 69 00:04:39,560 --> 00:04:43,440 Speaker 1: no reason at all whatsoever. There are places the government 70 00:04:43,520 --> 00:04:47,720 Speaker 1: tests such things as this, usually in private, top secret. 71 00:04:48,920 --> 00:04:49,120 Speaker 2: You know. 72 00:04:49,240 --> 00:04:52,960 Speaker 1: Senator Richard Blumenthal, Democrat, he's saying these drones, but we've 73 00:04:53,000 --> 00:04:55,719 Speaker 1: been saying, should be shot down. He said this in 74 00:04:55,760 --> 00:04:58,680 Speaker 1: an interview. He said intelligence analysis is needed on the 75 00:04:58,760 --> 00:05:02,000 Speaker 1: drones and that the US US to act more aggressively 76 00:05:02,839 --> 00:05:05,200 Speaker 1: against the sightings that have been reported. We should be 77 00:05:05,240 --> 00:05:09,600 Speaker 1: doing some very smart intelligence and analysis and take them 78 00:05:09,640 --> 00:05:12,560 Speaker 1: out of the sky, especially if they're flying over airports 79 00:05:12,640 --> 00:05:15,800 Speaker 1: or military bases, and by the way, reports of both. 80 00:05:16,440 --> 00:05:19,200 Speaker 1: They should be shot down if necessary, because they're flying 81 00:05:19,200 --> 00:05:23,320 Speaker 1: over sensitive areas. He's a Democrat Connecticut. He's not wrong. 82 00:05:23,360 --> 00:05:27,600 Speaker 1: Now they're flying in his state. Also, the mayor of Belleville, 83 00:05:28,040 --> 00:05:31,880 Speaker 1: New Jersey, telling Fox News that a drone had crashed 84 00:05:31,960 --> 00:05:35,480 Speaker 1: in his area. Anyway, the guy's name is Michael Melham. 85 00:05:36,040 --> 00:05:39,239 Speaker 1: I was interviewed by Harris Faulkner, my colleague and friend 86 00:05:39,279 --> 00:05:43,000 Speaker 1: of Fox and he reported that a drone had crashed 87 00:05:43,000 --> 00:05:46,680 Speaker 1: in the vicinity of his town. On my way here. 88 00:05:46,720 --> 00:05:49,320 Speaker 1: I was on the phone with my Office of Emergency 89 00:05:49,360 --> 00:05:52,400 Speaker 1: Management team and we now have guidance from the state, 90 00:05:52,480 --> 00:05:55,560 Speaker 1: and that guidance has two different things. First of all, 91 00:05:55,760 --> 00:05:59,120 Speaker 1: there is a down drone in our vicinity and we 92 00:05:59,120 --> 00:06:01,600 Speaker 1: were told to call the bomb squad in our county. 93 00:06:02,080 --> 00:06:05,200 Speaker 1: And second, our fire department has been instructed to make 94 00:06:05,240 --> 00:06:07,120 Speaker 1: sure that they wear hazmat suits. 95 00:06:07,839 --> 00:06:08,839 Speaker 2: He didn't elaborate. 96 00:06:09,240 --> 00:06:13,000 Speaker 1: Newsweek has a report on what sounds like the same 97 00:06:13,080 --> 00:06:16,240 Speaker 1: drone crash they reported Quota drone has crashed into the 98 00:06:16,279 --> 00:06:22,480 Speaker 1: ground in New Jersey amid a repeated you know, reported sightings. Again, 99 00:06:22,520 --> 00:06:26,000 Speaker 1: we do have pictures and videos on top of the 100 00:06:26,080 --> 00:06:30,320 Speaker 1: sidings of these unmanned flying devices along the East coast 101 00:06:31,200 --> 00:06:32,839 Speaker 1: and a police scanner report. 102 00:06:32,880 --> 00:06:34,560 Speaker 2: We'll play it later in the program. 103 00:06:35,120 --> 00:06:38,400 Speaker 1: At of Morris County, New Jersey indicated a drone had 104 00:06:38,440 --> 00:06:41,040 Speaker 1: crashed in the area on Friday morning, with one officer 105 00:06:41,160 --> 00:06:45,599 Speaker 1: reporting that more remote controlled aircraft were spotted in the 106 00:06:45,600 --> 00:06:48,039 Speaker 1: sky around the scene of the crash. By the way, 107 00:06:48,080 --> 00:06:52,839 Speaker 1: eighty plus percent of these drones come from China. That raises, 108 00:06:53,200 --> 00:06:56,239 Speaker 1: you know, my eyebrows. And all of this news comes 109 00:06:56,279 --> 00:06:59,919 Speaker 1: after a surge in these sightings. It has baffled apparently 110 00:07:00,200 --> 00:07:04,640 Speaker 1: law enforcement. The FBI has no answers. Law enforcement has 111 00:07:04,720 --> 00:07:09,279 Speaker 1: no answers. And then we have a pull on denial 112 00:07:10,200 --> 00:07:14,600 Speaker 1: by Biden's by Biden's own national security advisor, there's no 113 00:07:14,680 --> 00:07:17,000 Speaker 1: evidence at all that this is any of this is true. 114 00:07:18,080 --> 00:07:22,200 Speaker 1: Well then are you are you accusing the people in 115 00:07:22,240 --> 00:07:26,640 Speaker 1: these that have these videos of being liars, because that's 116 00:07:26,680 --> 00:07:31,840 Speaker 1: what they're saying here. You know, he said, it's rampant speculation. 117 00:07:32,320 --> 00:07:36,960 Speaker 1: He goes upon review of available imagery, it appears many 118 00:07:37,000 --> 00:07:41,400 Speaker 1: of the reports of sightings are actually manned aircraft and 119 00:07:41,480 --> 00:07:45,640 Speaker 1: are being operated lawfully. We have no evidence at this 120 00:07:45,760 --> 00:07:49,800 Speaker 1: time that the reported drone sidings pose a national security 121 00:07:49,920 --> 00:07:53,680 Speaker 1: or a public safety threat, or have a foreign nexus. 122 00:07:54,680 --> 00:07:57,000 Speaker 1: But the keywords there are no evidence at this time. 123 00:07:58,080 --> 00:08:01,400 Speaker 1: But the fact is, he's basically, you know, downplaying it 124 00:08:01,520 --> 00:08:05,080 Speaker 1: denying it, and I find that part and the lack 125 00:08:05,120 --> 00:08:08,280 Speaker 1: of urgency, the most infuriating part of it. I want 126 00:08:08,320 --> 00:08:14,720 Speaker 1: a definitive answer. We deserve a definitive answer now. If 127 00:08:14,760 --> 00:08:18,360 Speaker 1: they don't have the capability of getting a definitive answer, 128 00:08:19,120 --> 00:08:21,640 Speaker 1: that scares me even more because I know we have 129 00:08:21,720 --> 00:08:25,360 Speaker 1: the technology and the ability to do it, and or 130 00:08:25,440 --> 00:08:28,560 Speaker 1: the just flat out line to us, and that pisses 131 00:08:28,600 --> 00:08:31,720 Speaker 1: me off. But it's certainly better than the alternative, and 132 00:08:31,800 --> 00:08:36,679 Speaker 1: that being that they don't know. Multiple mystery drones spotted 133 00:08:36,720 --> 00:08:40,840 Speaker 1: flying over the New Jersey Naval Weapon Station, according to 134 00:08:40,880 --> 00:08:45,679 Speaker 1: ABC News, Multiple instances of drones entering the airspace at 135 00:08:45,720 --> 00:08:49,880 Speaker 1: a Navy weapon station in New Jersey. According to officials, there, 136 00:08:50,440 --> 00:08:54,560 Speaker 1: concerns continue to grow over widespread drone sightings in the region. 137 00:08:55,240 --> 00:09:00,160 Speaker 1: Naval Weapon Station EARL, located in Coltsneck, New Jersey, that 138 00:09:00,240 --> 00:09:02,600 Speaker 1: they were aware of the sightings in the region. They 139 00:09:02,640 --> 00:09:06,080 Speaker 1: continue to closely coordinate with federal and state agencies to 140 00:09:06,200 --> 00:09:08,960 Speaker 1: ensure the safety of their personnel and operations. We can 141 00:09:09,040 --> 00:09:15,120 Speaker 1: confirm multiple instances of unidentified drones. Will somebody tell Kirby 142 00:09:16,040 --> 00:09:20,880 Speaker 1: in the Biden White House entering the airspace above the 143 00:09:20,960 --> 00:09:25,720 Speaker 1: Naval Weapons Station Earl. According to Bill Addison, public affairs 144 00:09:26,240 --> 00:09:29,880 Speaker 1: officer at the naval station, the base remains prepared to 145 00:09:29,920 --> 00:09:34,960 Speaker 1: respond to any potential risks, leveraging robust security measures and 146 00:09:35,000 --> 00:09:40,560 Speaker 1: advanced detection capabilities. And by the way, Senator Andy Kim, 147 00:09:41,280 --> 00:09:44,240 Speaker 1: who was sworn into office just this week, spent Thursday 148 00:09:44,320 --> 00:09:48,560 Speaker 1: night in hunter in A County which is next to 149 00:09:48,679 --> 00:09:52,080 Speaker 1: Somerset County, where he said he saw dozens of drones 150 00:09:52,120 --> 00:09:55,599 Speaker 1: in a two hour period. As John Kirby suggesting he 151 00:09:55,679 --> 00:09:59,880 Speaker 1: is lying, people deserve answers, he said to reporters after 152 00:10:00,360 --> 00:10:03,760 Speaker 1: his visit to the county. We don't need conspiracy theories 153 00:10:03,840 --> 00:10:08,160 Speaker 1: or conjecture. We need assurances that the people charge with 154 00:10:08,280 --> 00:10:10,880 Speaker 1: keeping us safe are on top of the issue, and 155 00:10:10,960 --> 00:10:13,520 Speaker 1: a line of communication so that the people feel their 156 00:10:13,559 --> 00:10:15,080 Speaker 1: government is taking it seriously. 157 00:10:15,160 --> 00:10:15,679 Speaker 2: Is not wrong? 158 00:10:16,679 --> 00:10:19,200 Speaker 1: Just give us a definitive answer, and if you don't 159 00:10:19,240 --> 00:10:21,120 Speaker 1: know the answer, take one of the damn things out 160 00:10:21,160 --> 00:10:24,439 Speaker 1: of the sky. What is so hard about this? This 161 00:10:24,480 --> 00:10:28,760 Speaker 1: is not that complicated. But I'm telling you it's either 162 00:10:28,800 --> 00:10:32,160 Speaker 1: one or the other. They either know and are lying, 163 00:10:33,120 --> 00:10:36,760 Speaker 1: or they don't know, can't figure it out and are 164 00:10:36,800 --> 00:10:39,600 Speaker 1: just putting their head in their sand and the sand 165 00:10:39,720 --> 00:10:44,160 Speaker 1: and just you know, living in La La Land, you 166 00:10:44,200 --> 00:10:46,600 Speaker 1: know the idea that the White House, you know, is 167 00:10:46,640 --> 00:10:50,559 Speaker 1: security officials just dismiss it. I mean, we're talking about 168 00:10:50,559 --> 00:10:57,319 Speaker 1: politicians and every quote legacy media outlet reporting it. Marjorie 169 00:10:57,360 --> 00:11:01,360 Speaker 1: Taylor Green said, it's total bs. We're all in danger, right. 170 00:11:02,320 --> 00:11:05,800 Speaker 1: I hope Marcherie's wrong on this one. The drone mystery. 171 00:11:06,640 --> 00:11:09,240 Speaker 1: New Jersey homeowners are threatening to take matters into their 172 00:11:09,280 --> 00:11:12,880 Speaker 1: own hands if the government's not going to act. I mean, 173 00:11:12,880 --> 00:11:15,640 Speaker 1: they're putting people in a position where they feel that, 174 00:11:16,080 --> 00:11:18,680 Speaker 1: you know, they're so frustrated with the lack of answers 175 00:11:18,720 --> 00:11:23,760 Speaker 1: regarding you know, the dozens of potential drone sightings and 176 00:11:24,200 --> 00:11:27,960 Speaker 1: sightings above their own homes. Now people are threatening to 177 00:11:27,960 --> 00:11:30,280 Speaker 1: take action on their own if the government won't start 178 00:11:30,320 --> 00:11:36,439 Speaker 1: providing answers. Have one real term in the Jersey Shore. 179 00:11:36,559 --> 00:11:39,920 Speaker 1: Sharing a video on Facebook, he said he showed the 180 00:11:40,040 --> 00:11:45,720 Speaker 1: suv sized drones above Island Beach State Park, taken on Sunday. 181 00:11:45,760 --> 00:11:49,440 Speaker 1: It's difficult to judge their size in this clip, anyway, 182 00:11:49,480 --> 00:11:53,120 Speaker 1: he said. Dozens of suv sized drones in all directions. 183 00:11:54,160 --> 00:11:56,560 Speaker 1: He said emerging at the same time, flying over the 184 00:11:56,559 --> 00:11:59,280 Speaker 1: ocean and heading in different directions. What do you think? 185 00:12:00,120 --> 00:12:03,040 Speaker 1: And he showed the videos of it. Look, you know, 186 00:12:03,120 --> 00:12:05,760 Speaker 1: something's going on. I don't know what's going Maybe it's nothing. 187 00:12:06,640 --> 00:12:09,600 Speaker 1: Maybe it's our own government. But that would not make sense, 188 00:12:09,640 --> 00:12:12,720 Speaker 1: would it. Maybe it's a dry run of an enemy 189 00:12:12,720 --> 00:12:14,640 Speaker 1: and they just don't want to want to tell us 190 00:12:14,679 --> 00:12:19,280 Speaker 1: the truth, you know, or they don't know. That don't 191 00:12:19,320 --> 00:12:21,280 Speaker 1: know part is the one that scares me the most. 192 00:12:21,400 --> 00:12:24,000 Speaker 1: Don't know part is the worst part. They don't know 193 00:12:24,120 --> 00:12:31,040 Speaker 1: part means that they are absolutely just incompetent. Beyond words, 194 00:12:31,960 --> 00:12:33,840 Speaker 1: we've got a lot of other news to get to 195 00:12:34,840 --> 00:12:38,199 Speaker 1: interesting and we'll get into great specificity in detail with 196 00:12:38,280 --> 00:12:41,880 Speaker 1: Jim Jordan in the program later. But former January sixth 197 00:12:41,880 --> 00:12:45,640 Speaker 1: Committee chairman Benny Thompson said he'd accept a preemptive pardon 198 00:12:45,760 --> 00:12:49,480 Speaker 1: from Biden. There's a lot of talk of preemptive pardons 199 00:12:49,480 --> 00:12:53,600 Speaker 1: for people like Anthony Fauci and Liz Cheney and Benny Thompson, 200 00:12:54,160 --> 00:12:58,160 Speaker 1: other Biden family members. Maybe even Biden will pardon himself. 201 00:12:59,480 --> 00:13:02,960 Speaker 1: But we'll get into what they this This is something 202 00:13:03,160 --> 00:13:07,480 Speaker 1: really so wrong in what this committee did. We need 203 00:13:07,520 --> 00:13:12,720 Speaker 1: a prime time truth telling, you know, counter narrative and 204 00:13:12,800 --> 00:13:17,200 Speaker 1: let the American people the high level of lying that 205 00:13:17,240 --> 00:13:20,640 Speaker 1: went on about January sixth and what they didn't tell you, 206 00:13:21,120 --> 00:13:24,840 Speaker 1: what they selectively edited out, and why has all of 207 00:13:24,880 --> 00:13:28,240 Speaker 1: this information gone missing? Apparently nobody knows where it is. 208 00:13:29,520 --> 00:13:32,520 Speaker 1: Jonathan Turley wants to know why the FBI informants who 209 00:13:32,559 --> 00:13:36,360 Speaker 1: trespassed on the Capital property during the January sixth riot, 210 00:13:36,679 --> 00:13:39,920 Speaker 1: why weren't they prosecuted? And this is a denial that 211 00:13:39,960 --> 00:13:43,040 Speaker 1: went on for a very long time. We'll get into 212 00:13:43,080 --> 00:13:46,080 Speaker 1: this with Jim Jordan as well, but we learned from 213 00:13:46,080 --> 00:13:49,760 Speaker 1: an IG report at the DOJ yesterday that they were there. 214 00:13:49,760 --> 00:13:53,800 Speaker 1: In fact, we're twenty six confidential human sources another word, 215 00:13:53,880 --> 00:13:57,719 Speaker 1: spies that were at the rally for the FBI in 216 00:13:57,840 --> 00:14:02,720 Speaker 1: January sixth, seventeen, entering restart stricted areas or entering the Capital. 217 00:14:03,320 --> 00:14:06,560 Speaker 1: Three specifically deployed by the FBI to be at the rally. 218 00:14:07,080 --> 00:14:10,440 Speaker 1: Two were paid by the FBI. What a shocker. They 219 00:14:10,480 --> 00:14:14,000 Speaker 1: didn't get arrested. They weren't authorized to break the law 220 00:14:14,960 --> 00:14:17,240 Speaker 1: eight hundred ninety four one, Shawn or number. If you 221 00:14:17,240 --> 00:14:19,080 Speaker 1: want to be a part of the program. We'll get 222 00:14:19,080 --> 00:14:23,040 Speaker 1: into all of this and much much more, Sow Petty, 223 00:14:23,680 --> 00:14:27,800 Speaker 1: you know, beyond the lunatics that have no problem, you know, 224 00:14:27,920 --> 00:14:33,000 Speaker 1: praising and honoring the alleged assassin of the United Healthcare CEO. 225 00:14:33,120 --> 00:14:36,600 Speaker 1: Now we have, according to foxnews dot Com, a number 226 00:14:36,640 --> 00:14:42,240 Speaker 1: of DC dining establishment waiters, waitresses, bartenders vowing to discriminate 227 00:14:42,280 --> 00:14:46,160 Speaker 1: against Trump officials by doing everything they can to make 228 00:14:46,200 --> 00:14:50,560 Speaker 1: their dining experience miserable. Maybe the owners of these fine 229 00:14:50,680 --> 00:14:55,120 Speaker 1: establishments should ferret out any of these Trump hating staff members. Anyway, 230 00:14:55,160 --> 00:14:59,240 Speaker 1: food workers in DC have pledged to refuse service, cause 231 00:14:59,280 --> 00:15:03,480 Speaker 1: other inconvenie from members of the incoming Trump administration when 232 00:15:03,480 --> 00:15:06,040 Speaker 1: they dine out over the next four years. That means 233 00:15:06,080 --> 00:15:11,720 Speaker 1: bartenders servers in the Capitol telling the Washingtonian that resistance 234 00:15:11,760 --> 00:15:15,520 Speaker 1: to Republican figures in the progressive city was inevitable in 235 00:15:15,560 --> 00:15:21,040 Speaker 1: a matter of conscience. Well, you're pretty stupid if you 236 00:15:21,120 --> 00:15:25,040 Speaker 1: do that, with all due respect, but that doesn't surprise me. Now, 237 00:15:25,080 --> 00:15:27,680 Speaker 1: if I owned a restaurant i worked again as a 238 00:15:27,680 --> 00:15:31,160 Speaker 1: bartender as I did, and a waiter whatever, I'd be 239 00:15:31,200 --> 00:15:33,400 Speaker 1: glad to have liberals come in and spend their money. 240 00:15:33,520 --> 00:15:40,720 Speaker 1: You know why, because that makes me money. Back to 241 00:15:40,800 --> 00:15:44,520 Speaker 1: this story on foxnews dot com food workers in DC 242 00:15:44,720 --> 00:15:50,960 Speaker 1: pledging to refuse service and cause other inconveniences for members 243 00:15:51,600 --> 00:15:54,480 Speaker 1: of the incoming Trump administration when they dine out. I 244 00:15:54,520 --> 00:15:58,320 Speaker 1: did have an experience, a bad experience once years ago 245 00:15:59,040 --> 00:16:02,120 Speaker 1: for the sake of nice, although I have no reason to. 246 00:16:04,280 --> 00:16:08,400 Speaker 1: I won't go into the graphic details, but some idiot 247 00:16:08,440 --> 00:16:10,960 Speaker 1: I went to a restaurant. It was a steak house. 248 00:16:11,840 --> 00:16:15,680 Speaker 1: I had a stake that night, and a person that 249 00:16:15,800 --> 00:16:20,440 Speaker 1: apparently did serve me it turned out, went online. This 250 00:16:20,480 --> 00:16:24,400 Speaker 1: is early in the online era, and uh kind of 251 00:16:24,440 --> 00:16:28,640 Speaker 1: bragged about what they did to my food. Not exactly comforting, 252 00:16:29,280 --> 00:16:33,880 Speaker 1: not a fun experience. And you know, the person got fired. 253 00:16:34,760 --> 00:16:38,840 Speaker 1: There was a police involved, there could have been charges. 254 00:16:39,720 --> 00:16:42,160 Speaker 1: I'm not going to tell you how it ended. It 255 00:16:42,400 --> 00:16:46,240 Speaker 1: ended with me being way more way nicer than I 256 00:16:46,280 --> 00:16:50,920 Speaker 1: should have, because it's pretty horrible that people do that. No, 257 00:16:51,080 --> 00:16:53,680 Speaker 1: you remember the old story of who was it that's 258 00:16:53,680 --> 00:16:56,680 Speaker 1: spitting somebody's food and like bragged about it. There's some 259 00:16:56,800 --> 00:17:02,280 Speaker 1: famous person I don't remember. So, yeah, the bartenders and 260 00:17:02,520 --> 00:17:05,199 Speaker 1: people that work in the service industry work in restaurants 261 00:17:06,000 --> 00:17:10,520 Speaker 1: and they are now promising to shun certain officials or 262 00:17:10,560 --> 00:17:15,120 Speaker 1: employ other small acts of resistance against these figures who 263 00:17:15,240 --> 00:17:16,880 Speaker 1: quote take their power back. 264 00:17:16,920 --> 00:17:22,159 Speaker 2: What does that even mean? How do you get power back? Now? 265 00:17:22,359 --> 00:17:24,399 Speaker 1: If I own a business and I worked in the 266 00:17:24,400 --> 00:17:28,080 Speaker 1: restaurant business, I've told the story many times. When I 267 00:17:28,160 --> 00:17:29,119 Speaker 1: tell my kids, they. 268 00:17:29,040 --> 00:17:30,160 Speaker 2: Roll their eyes. 269 00:17:30,240 --> 00:17:34,000 Speaker 1: But I was twelve years old washing dishes every Friday, Saturday, 270 00:17:34,040 --> 00:17:37,600 Speaker 1: Sunday night in a very busy restaurant. You know, by hand. 271 00:17:37,680 --> 00:17:41,720 Speaker 1: They didn't have dishwasher machine at that point. I mean, 272 00:17:41,880 --> 00:17:44,360 Speaker 1: most busy restaurants have the machines. 273 00:17:44,400 --> 00:17:45,240 Speaker 2: That makes it much. 274 00:17:45,119 --> 00:17:49,359 Speaker 1: Easier and probably makes the dishes a lot cleaner. I 275 00:17:49,359 --> 00:17:51,199 Speaker 1: mean that water would get pretty dirty and I just 276 00:17:51,280 --> 00:17:55,000 Speaker 1: keep going and just wipe them dry when it was done. 277 00:17:55,040 --> 00:17:56,520 Speaker 2: But I was doing the best I could. It was 278 00:17:56,560 --> 00:17:57,040 Speaker 2: so busy. 279 00:17:57,119 --> 00:17:59,240 Speaker 1: I had to move fast, and then you have to 280 00:17:59,359 --> 00:18:02,359 Speaker 1: scour these pots and pans, and I did it at. 281 00:18:02,240 --> 00:18:02,920 Speaker 2: Twelve years old. 282 00:18:03,000 --> 00:18:05,320 Speaker 1: I was paid like two dollars and fifty cents an 283 00:18:05,359 --> 00:18:07,840 Speaker 1: hour or something like that, and the owners were great. 284 00:18:08,440 --> 00:18:12,480 Speaker 2: They were nice people, and uh, it was kind of cool. 285 00:18:13,119 --> 00:18:14,840 Speaker 1: At the end of the night, me and a friend 286 00:18:14,840 --> 00:18:17,480 Speaker 1: of mine he at the time was the bus boy. 287 00:18:18,359 --> 00:18:20,960 Speaker 1: We didn't have a Saint poly Girl beer or two 288 00:18:21,160 --> 00:18:25,679 Speaker 1: at the bar. We're only twelve thirteen years old, and 289 00:18:26,000 --> 00:18:28,639 Speaker 1: you know then we'd fly home on our bicycle and 290 00:18:28,720 --> 00:18:31,359 Speaker 1: it just was a different error. I mean, my parents 291 00:18:31,359 --> 00:18:34,119 Speaker 1: were working, they had no idea where it was. When 292 00:18:34,160 --> 00:18:36,160 Speaker 1: I got off the school bus, i'd you know, dropped 293 00:18:36,200 --> 00:18:40,000 Speaker 1: my bag and run out. And if I wasn't delivering papers, 294 00:18:40,040 --> 00:18:41,960 Speaker 1: I had paper routes all the time. I hated them. 295 00:18:42,760 --> 00:18:45,200 Speaker 1: And anyway, but I did like working in the restaurant 296 00:18:45,240 --> 00:18:48,199 Speaker 1: then before I was fourteen. When I was thirteen, this 297 00:18:48,320 --> 00:18:52,040 Speaker 1: guy Hans on Thanksgiving quit he was the chef. 298 00:18:52,920 --> 00:18:55,399 Speaker 2: He throws me the apron. But you know, think of 299 00:18:55,440 --> 00:18:56,040 Speaker 2: what I learned. 300 00:18:56,480 --> 00:19:00,480 Speaker 1: I learned how to cook steaks and burgers and food 301 00:19:00,480 --> 00:19:06,800 Speaker 1: froudy alblo and live stuff, lobster, what else, fetchini, alfredo, 302 00:19:07,080 --> 00:19:10,440 Speaker 1: spaghetti carbona. I learned how to cook all of that. 303 00:19:11,600 --> 00:19:15,800 Speaker 1: And you know, I learned, and I loved it. I'd 304 00:19:16,000 --> 00:19:18,600 Speaker 1: build up a big sweat. I'd have to move fast. 305 00:19:18,920 --> 00:19:21,560 Speaker 1: I loved jobs. You have to move fast. And at 306 00:19:21,600 --> 00:19:23,800 Speaker 1: another point, I was a busboy in a very busy 307 00:19:23,840 --> 00:19:26,920 Speaker 1: restaurant and a waiter for a short period of time. 308 00:19:26,920 --> 00:19:29,800 Speaker 2: I didn't love being a waiter. I loved being a bartender. 309 00:19:30,480 --> 00:19:31,160 Speaker 2: That was fun. 310 00:19:31,840 --> 00:19:34,640 Speaker 1: It was a very busy pub, had three separate dining 311 00:19:34,720 --> 00:19:39,080 Speaker 1: rooms and even later an outdoor dining room in warmer weather. 312 00:19:40,280 --> 00:19:43,199 Speaker 1: And then they were known for their frozen drinks, and 313 00:19:43,200 --> 00:19:45,639 Speaker 1: they didn't have those drink machines that they have today, 314 00:19:45,680 --> 00:19:48,880 Speaker 1: so you had to do everything by hand. Banana dakeries, 315 00:19:49,080 --> 00:19:55,400 Speaker 1: melon dakeries, strawberry dakeries, peanut colatdas, Margarita's frozen margheritas, I mean, 316 00:19:56,000 --> 00:19:59,119 Speaker 1: and you had to move because you had the Usually 317 00:19:59,200 --> 00:20:02,000 Speaker 1: there were two bar tender, so you know, you had 318 00:20:02,000 --> 00:20:05,000 Speaker 1: to work the service bar, which is you know, getting 319 00:20:05,080 --> 00:20:09,960 Speaker 1: drinks to the customers in the restaurant. And then I'm 320 00:20:10,000 --> 00:20:12,400 Speaker 1: busy nights like Friday and Saturday, you know the bar 321 00:20:12,600 --> 00:20:16,000 Speaker 1: before five deep, and it was a long bar and 322 00:20:16,119 --> 00:20:17,800 Speaker 1: I'd run the whole night. It was great though. I'd 323 00:20:17,800 --> 00:20:20,520 Speaker 1: come home with a lot of money and I just 324 00:20:20,840 --> 00:20:25,640 Speaker 1: I love working there. So the idea that these bartenders 325 00:20:25,760 --> 00:20:29,159 Speaker 1: waiters somehow are going to get their power back and 326 00:20:29,240 --> 00:20:33,040 Speaker 1: are pledging not to serve Trump officials, well that would 327 00:20:33,040 --> 00:20:37,480 Speaker 1: be called discrimination. But that's a separate issue for another day. 328 00:20:38,200 --> 00:20:41,160 Speaker 1: But you know, this person theoretically has power to take 329 00:20:41,640 --> 00:20:43,560 Speaker 1: away your rights, but I have the power to make 330 00:20:43,600 --> 00:20:46,720 Speaker 1: you wait twenty minutes to get your entree. They quote 331 00:20:46,760 --> 00:20:51,720 Speaker 1: this woman, Nancy, a fine dining bartender, telling The Washingtonian, 332 00:20:52,240 --> 00:20:55,600 Speaker 1: there's lots of opportunities for us as workers to feel 333 00:20:55,640 --> 00:20:58,520 Speaker 1: like we are getting our power back while not necessarily 334 00:20:58,600 --> 00:21:02,960 Speaker 1: ruining someone's life. Giving them a subtle inconvenience feels like 335 00:21:03,280 --> 00:21:05,760 Speaker 1: a little bit of a win for us. And she 336 00:21:05,840 --> 00:21:09,760 Speaker 1: said she would refuse service to certain Trump officials if 337 00:21:09,800 --> 00:21:12,600 Speaker 1: her employer tried to force her. She claims she would 338 00:21:12,720 --> 00:21:15,679 Speaker 1: quit on the spot. Well, if I'm the owner of 339 00:21:15,680 --> 00:21:18,920 Speaker 1: that restaurant, I want her to quit ahead of time. 340 00:21:19,200 --> 00:21:21,960 Speaker 1: Let's let's pass, go collect two hundred and get out 341 00:21:22,000 --> 00:21:25,560 Speaker 1: the door. Because your job is to give the best 342 00:21:25,560 --> 00:21:32,520 Speaker 1: service possible to people, your customers. I mean, for example, everybody, 343 00:21:32,600 --> 00:21:34,679 Speaker 1: I don't care what business you're in, You're in a 344 00:21:34,800 --> 00:21:39,480 Speaker 1: service business. And I've gone through this before. I would, 345 00:21:39,560 --> 00:21:42,159 Speaker 1: you know, try to explain to my kids when they 346 00:21:42,160 --> 00:21:47,239 Speaker 1: were young that everybody is in the service business. And 347 00:21:47,240 --> 00:21:51,360 Speaker 1: then I explain all the people that go into bringing 348 00:21:51,440 --> 00:21:55,000 Speaker 1: them whatever food they ordered. When we'd go to a restaurant, 349 00:21:55,000 --> 00:21:57,520 Speaker 1: somebody see you at a restaurant. Somebody comes and fills 350 00:21:57,520 --> 00:22:01,240 Speaker 1: your water glass at a restaurant. Then somebody comes by 351 00:22:01,280 --> 00:22:03,520 Speaker 1: a waiter and takes your drink order and goes and 352 00:22:03,560 --> 00:22:05,600 Speaker 1: gets your drink order and brings that to you. Then 353 00:22:05,760 --> 00:22:07,760 Speaker 1: when they go to the bar, the bartender makes the 354 00:22:07,840 --> 00:22:13,080 Speaker 1: drinks or the soft drinks, whatever you're ordering, and then 355 00:22:13,240 --> 00:22:16,840 Speaker 1: the waiter will will you'll order, maybe we'll order an 356 00:22:16,880 --> 00:22:21,560 Speaker 1: appetizer or appetizers, and then well, that order is brought 357 00:22:21,640 --> 00:22:24,040 Speaker 1: back to the kitchen, and then somebody will cook it 358 00:22:24,480 --> 00:22:25,520 Speaker 1: and they'll put it on a plate. 359 00:22:25,560 --> 00:22:26,800 Speaker 2: Then the waiter will bring it to you. 360 00:22:27,440 --> 00:22:30,639 Speaker 1: And then somebody will come usually a bus boy, bus girl, whatever, 361 00:22:30,720 --> 00:22:33,000 Speaker 1: and they will take that plate and they will bring 362 00:22:33,000 --> 00:22:35,480 Speaker 1: it to the back to the kitchen, and they will 363 00:22:35,480 --> 00:22:37,800 Speaker 1: give it to the dishwasher, and the dishwasher will clean 364 00:22:37,840 --> 00:22:41,800 Speaker 1: that dish, and the same with the entree, same process, 365 00:22:42,400 --> 00:22:44,639 Speaker 1: and then when you leave, somebody's going to clean up 366 00:22:44,680 --> 00:22:47,919 Speaker 1: your table. Those are all people involved in serving you 367 00:22:47,960 --> 00:22:51,240 Speaker 1: in a restaurant. And I think that human beings we 368 00:22:51,400 --> 00:22:55,520 Speaker 1: have to provide services for other people. We're not designed 369 00:22:55,520 --> 00:22:58,119 Speaker 1: to be kings and queens. And I can't think of 370 00:22:58,119 --> 00:23:03,320 Speaker 1: a more boring, dull, you know, insane existence. Then you know, 371 00:23:03,400 --> 00:23:07,040 Speaker 1: having people you know, weight handover foot over you all day. 372 00:23:07,080 --> 00:23:09,240 Speaker 2: I just I couldn't imagine, nor would I ever want that. 373 00:23:10,640 --> 00:23:12,960 Speaker 1: And you know, I don't care if you're if you 374 00:23:13,000 --> 00:23:15,679 Speaker 1: collect people's garbage, you're a garbage man. We're all pieces 375 00:23:15,680 --> 00:23:19,040 Speaker 1: of garbage according to Joe. But you know what a 376 00:23:19,160 --> 00:23:22,679 Speaker 1: service they're providing. If somebody is an electrician, a plumber 377 00:23:22,760 --> 00:23:27,560 Speaker 1: or contractor, if they're an architect, if they're a landscaper, 378 00:23:27,880 --> 00:23:31,119 Speaker 1: if they're a nurse, a doctor in orderly at a hospital, 379 00:23:31,840 --> 00:23:35,040 Speaker 1: I don't know if they call them orderlies anymore, nurse assistant, 380 00:23:35,200 --> 00:23:35,919 Speaker 1: I'm not sure. 381 00:23:37,800 --> 00:23:40,000 Speaker 2: If you're a lawyer, I don't care. 382 00:23:40,000 --> 00:23:42,960 Speaker 1: If you are a personal assistant, I don't think you 383 00:23:43,080 --> 00:23:45,160 Speaker 1: use the word secretary, flight attendant. 384 00:23:46,320 --> 00:23:49,560 Speaker 2: You can't say stewardess anymore, or a steward. I don't know. 385 00:23:50,680 --> 00:23:53,480 Speaker 1: Uh, it's hard keeping up with all these name changes, 386 00:23:53,600 --> 00:23:57,960 Speaker 1: I will say that, but you get my point. Everybody's 387 00:23:58,000 --> 00:24:01,359 Speaker 1: providing a service, and then grateful for people that provide 388 00:24:01,359 --> 00:24:04,560 Speaker 1: good service. Now, this is how stupid and short sighted 389 00:24:04,560 --> 00:24:08,720 Speaker 1: they are because if I get bad service, I do 390 00:24:08,800 --> 00:24:11,840 Speaker 1: tip well. Number One, I can afford to tip well. 391 00:24:12,400 --> 00:24:16,200 Speaker 1: And I just think of my father who waited tables 392 00:24:16,240 --> 00:24:20,040 Speaker 1: on a weekend to supplement his income. Every time I 393 00:24:20,040 --> 00:24:22,880 Speaker 1: go to a restaurant, and I just I just know 394 00:24:22,960 --> 00:24:27,080 Speaker 1: how important the money, the tip money that waiters and 395 00:24:28,080 --> 00:24:30,880 Speaker 1: bartenders and how important it is in their life. So 396 00:24:31,080 --> 00:24:34,600 Speaker 1: I've all my adult life I try to tip well, 397 00:24:35,840 --> 00:24:38,840 Speaker 1: and I just I feel kind of compelled to do it, 398 00:24:38,880 --> 00:24:41,119 Speaker 1: to be honest, and I worked in the industry myself. 399 00:24:41,160 --> 00:24:43,439 Speaker 1: I used to love it if somebody gave me an extra, 400 00:24:43,520 --> 00:24:47,600 Speaker 1: really good tip if you get lousy service. There has 401 00:24:47,680 --> 00:24:51,000 Speaker 1: been a rare occasion where I'll just leave the twenty 402 00:24:51,040 --> 00:24:54,960 Speaker 1: percent and that's like my minimum if it's the worst service. 403 00:24:55,359 --> 00:24:56,640 Speaker 2: But I probably shouldn't do that. 404 00:24:57,440 --> 00:24:59,359 Speaker 1: I mean, if somebody's that bad, I should probably just 405 00:24:59,400 --> 00:25:01,560 Speaker 1: walk away, just say here, I'm paying the bill, and 406 00:25:01,680 --> 00:25:05,720 Speaker 1: just walk out. But I personally would refuse to serve 407 00:25:05,800 --> 00:25:08,399 Speaker 1: any person in office who I know as being a 408 00:25:08,520 --> 00:25:14,120 Speaker 1: sex trafficker or trying to deport millions of people. What 409 00:25:14,160 --> 00:25:18,680 Speaker 1: the hell is this person talking about? A server manager 410 00:25:18,800 --> 00:25:22,040 Speaker 1: at a saloon on Capitol Hill also vowing to refuse 411 00:25:22,240 --> 00:25:26,400 Speaker 1: service to Trump officials whom she felt had moral views 412 00:25:26,480 --> 00:25:31,480 Speaker 1: that opposed her own. Again, that's all published in the Washingtonian, Like, 413 00:25:31,760 --> 00:25:35,520 Speaker 1: you gotta be kidding me. It's not, oh, we hate Republicans. 414 00:25:35,600 --> 00:25:39,680 Speaker 1: It's that this person has moral convictions that are strongly 415 00:25:39,720 --> 00:25:42,879 Speaker 1: opposed to mine. If I was still back in the 416 00:25:43,480 --> 00:25:45,560 Speaker 1: like for example, if you're a liberal and you're listening 417 00:25:45,600 --> 00:25:50,040 Speaker 1: to this show, thank you for listening. If you voted 418 00:25:50,080 --> 00:25:52,560 Speaker 1: for Kamala and you watch my TV show, thank you 419 00:25:52,600 --> 00:25:54,920 Speaker 1: for watching. And I want to put on a good 420 00:25:54,920 --> 00:25:56,960 Speaker 1: show every day. And one of the differences between my 421 00:25:57,080 --> 00:26:02,960 Speaker 1: show and fake New CNN and MSDNC, Legacy Media, ABC, 422 00:26:03,040 --> 00:26:07,000 Speaker 1: NBCCBS is we often get it right. By the way, 423 00:26:07,000 --> 00:26:10,760 Speaker 1: you heard about the woman in the Duke of Cross 424 00:26:10,800 --> 00:26:14,840 Speaker 1: case admitting that she lied what is it eighteen years 425 00:26:14,960 --> 00:26:19,120 Speaker 1: later she should be put in jail. Well, we happened, well, 426 00:26:19,400 --> 00:26:21,600 Speaker 1: so many in the media, So many of those professors 427 00:26:21,640 --> 00:26:25,080 Speaker 1: got that story wrong, and they rushed to judgment. I 428 00:26:25,119 --> 00:26:27,239 Speaker 1: actually took the time to meet with the families, some 429 00:26:27,280 --> 00:26:30,480 Speaker 1: of the families of these young men that were being accused, 430 00:26:31,119 --> 00:26:33,919 Speaker 1: and I learned meeting them that there was going to 431 00:26:34,040 --> 00:26:37,919 Speaker 1: be exculpatory evidence that would come out, and I was 432 00:26:37,960 --> 00:26:40,680 Speaker 1: able to go hard on the air that I didn't 433 00:26:40,680 --> 00:26:44,480 Speaker 1: believe it, and that until I not rushed to judgment. 434 00:26:45,160 --> 00:26:45,679 Speaker 2: We did that. 435 00:26:45,720 --> 00:26:48,560 Speaker 1: In the George Zimmerman case, I was told by people 436 00:26:48,600 --> 00:26:52,800 Speaker 1: that there would be eyewitness testimony that Trayvon Martin was 437 00:26:52,840 --> 00:26:57,119 Speaker 1: doing a ground and pound of George Zimmerman's head in 438 00:26:57,200 --> 00:27:00,479 Speaker 1: the cement and that would likely impact the verse, and 439 00:27:00,520 --> 00:27:01,280 Speaker 1: it did. 440 00:27:02,160 --> 00:27:02,520 Speaker 2: I knew. 441 00:27:02,560 --> 00:27:05,800 Speaker 1: I was in Atlanta during the Richard Jewel time, during 442 00:27:05,840 --> 00:27:10,240 Speaker 1: the when the Olympic bombing took place and I was 443 00:27:10,320 --> 00:27:12,920 Speaker 1: on the air, I didn't know Richard Jewel was listening. 444 00:27:13,440 --> 00:27:16,400 Speaker 1: He fits the profile of the lone bomber, after all, 445 00:27:16,440 --> 00:27:20,719 Speaker 1: he lives with his mother. They got that wrong. You know, 446 00:27:20,920 --> 00:27:24,320 Speaker 1: all these sanctimonious, self righteous liberals, they get everything wrong. 447 00:27:24,440 --> 00:27:29,280 Speaker 1: Legacy media gets everything wrong. I don't know. They got 448 00:27:29,560 --> 00:27:33,919 Speaker 1: Ferguson Missouri wrong, Uva wrong, they got read the Russia 449 00:27:33,960 --> 00:27:36,760 Speaker 1: hoax wrong, they got the they never got to the 450 00:27:36,800 --> 00:27:41,920 Speaker 1: dirty disinformation dossier, which was the basis for four PISA applications. 451 00:27:41,920 --> 00:27:44,520 Speaker 2: They get all that wrong. Legas. 452 00:27:44,560 --> 00:27:47,400 Speaker 1: That's why Legacy media, if you're going to be successful 453 00:27:47,520 --> 00:27:51,679 Speaker 1: in new media. One of the criterias is going to 454 00:27:51,840 --> 00:27:56,480 Speaker 1: be stop lying to your audience. And this is the 455 00:27:56,600 --> 00:28:00,000 Speaker 1: lesson that none of these networks, none of these newspapers, 456 00:28:00,080 --> 00:28:02,439 Speaker 1: none of these cable channels have learned from this election. 457 00:28:03,920 --> 00:28:08,320 Speaker 1: You know, one of one truth here is everybody is angry, uh, 458 00:28:08,520 --> 00:28:11,080 Speaker 1: you know, at the healthcare industry. But there's a poll 459 00:28:11,080 --> 00:28:13,760 Speaker 1: out yesterday that showed sixty five percent of Americans that 460 00:28:13,800 --> 00:28:16,440 Speaker 1: are happy with their healthcare plan. One thing I would 461 00:28:16,600 --> 00:28:20,840 Speaker 1: inform everybody and you need to do this. Know what's 462 00:28:21,000 --> 00:28:24,919 Speaker 1: covered before something happens. And if you have gaps in 463 00:28:24,960 --> 00:28:28,720 Speaker 1: your coverage, if you can afford it, you might want 464 00:28:28,760 --> 00:28:33,360 Speaker 1: to get a catastrophic plan to cover those gaps. Betsy McCoy, 465 00:28:33,400 --> 00:28:36,800 Speaker 1: a healthcare experts, use to carry the Obamacare bill around 466 00:28:36,840 --> 00:28:39,200 Speaker 1: with her. She knows it inside and out, and she 467 00:28:39,360 --> 00:28:43,840 Speaker 1: rightly points out health insurance claim denials exploded in the 468 00:28:43,920 --> 00:28:48,320 Speaker 1: decade since Obamacare was implemented. And she pointed out that 469 00:28:49,000 --> 00:28:51,120 Speaker 1: you know, it's roughly ten times what it was a 470 00:28:51,160 --> 00:28:55,080 Speaker 1: decade ago. And she pointed out back then, insures seldom 471 00:28:55,240 --> 00:29:00,240 Speaker 1: rejected claims. United Healthcare next one point one percent, a 472 00:29:00,320 --> 00:29:04,320 Speaker 1: one point nine at a one point five in twenty thirteen. 473 00:29:04,760 --> 00:29:09,360 Speaker 1: By twenty twenty two, major insurers were refusing to pay 474 00:29:09,360 --> 00:29:14,360 Speaker 1: on average fifteen percent of claims on a national average, 475 00:29:14,520 --> 00:29:17,920 Speaker 1: and that number keeps going upwards. Now, why is that 476 00:29:18,440 --> 00:29:21,680 Speaker 1: it shoots up with companies denying almost half their claims 477 00:29:22,080 --> 00:29:26,000 Speaker 1: according to researchers at the Kaiser Family Foundation. Well, the 478 00:29:26,040 --> 00:29:30,080 Speaker 1: Affordable Care Act of twenty ten requires the Department of 479 00:29:30,080 --> 00:29:33,880 Speaker 1: Health and Human Services to monitor claim denials and provide 480 00:29:33,920 --> 00:29:38,520 Speaker 1: information to the public. But the ACA plans on average 481 00:29:38,680 --> 00:29:42,400 Speaker 1: Obamacare plans, in other words, the Affordable Care Act plans 482 00:29:42,880 --> 00:29:46,960 Speaker 1: refuse to pay seventeen percent of their claims and for 483 00:29:46,960 --> 00:29:49,840 Speaker 1: forty plus percent of the country, that is their one 484 00:29:49,920 --> 00:29:57,800 Speaker 1: Obamacare exchange option. By the way, the Ducal Lacrosse woman, 485 00:29:59,160 --> 00:30:03,800 Speaker 1: her name was They're still magnum, and she finally confesses 486 00:30:03,840 --> 00:30:07,080 Speaker 1: she lied by the way she made these accusations in 487 00:30:07,120 --> 00:30:09,479 Speaker 1: two thousand and six. They trusted me that I wouldn't 488 00:30:09,480 --> 00:30:12,360 Speaker 1: betray their trust, and I testified falsely against them by 489 00:30:12,360 --> 00:30:12,840 Speaker 1: saying that. 490 00:30:12,840 --> 00:30:15,760 Speaker 2: They rape me when they didn't, and that was wrong. 491 00:30:16,880 --> 00:30:20,760 Speaker 1: And anyway, she told an independent media outlet, let's talk 492 00:30:20,800 --> 00:30:25,640 Speaker 1: with kat At at the North Carolina Correctional Institution for Women. 493 00:30:26,360 --> 00:30:30,400 Speaker 1: I made up a story that wasn't true, and she 494 00:30:30,440 --> 00:30:34,800 Speaker 1: said she wanted validation from people, not from God anyway. 495 00:30:34,800 --> 00:30:37,120 Speaker 1: I hope they can forgive me. I want them to 496 00:30:37,160 --> 00:30:39,840 Speaker 1: know that I love them. They didn't deserve that. I 497 00:30:39,880 --> 00:30:43,160 Speaker 1: hope they can forgive me. It was bad at the time. 498 00:30:43,240 --> 00:30:44,680 Speaker 1: It was really bad at the time.