1 00:00:00,640 --> 00:00:10,600 Speaker 1: Back to Marsillon, or well, what's the day today, Tuesday. 2 00:00:10,680 --> 00:00:12,680 Speaker 1: I've already went out. I'm worn out already. I've been 3 00:00:12,680 --> 00:00:15,280 Speaker 1: off for a couple of weeks. This is exhausting. Two 4 00:00:15,360 --> 00:00:18,079 Speaker 1: days in a row of this, this is you see. Yeah, 5 00:00:18,079 --> 00:00:21,680 Speaker 1: you get out of shape, you know you. Yeah, But 6 00:00:21,840 --> 00:00:23,840 Speaker 1: we'll get back into it five days a week. We 7 00:00:23,960 --> 00:00:26,439 Speaker 1: got lots to get to this hour. Actually, I got 8 00:00:26,560 --> 00:00:29,560 Speaker 1: thousands and thousands of pages of stuff here that I 9 00:00:29,600 --> 00:00:31,600 Speaker 1: wanted to talk about that I never got to mention. 10 00:00:31,640 --> 00:00:34,640 Speaker 1: But we'll get to it all before the week is over. 11 00:00:35,440 --> 00:00:38,519 Speaker 1: We try to be like a pipeline to the real story. 12 00:00:39,400 --> 00:00:41,720 Speaker 1: You know, if you're watching fake news, you get bombarded 13 00:00:41,760 --> 00:00:45,479 Speaker 1: with all this nonsense. The CBS Evening News, as we 14 00:00:45,520 --> 00:00:48,040 Speaker 1: mentioned yesterday, it's getting a little better. They're cleaning up 15 00:00:48,080 --> 00:00:51,120 Speaker 1: their act a little. It's still partisan, but not as 16 00:00:51,240 --> 00:00:53,519 Speaker 1: much as the other networks. They're cleaning it up. They're 17 00:00:53,520 --> 00:00:58,920 Speaker 1: getting a little more heading towards the center. They'll never 18 00:00:59,000 --> 00:01:01,680 Speaker 1: quite get there, but they're getting closer to it. A 19 00:01:01,680 --> 00:01:04,280 Speaker 1: big mix up yesterday on the CBS Evening News. It 20 00:01:04,319 --> 00:01:06,000 Speaker 1: was great to watch. They didn't seem to know what 21 00:01:06,160 --> 00:01:09,360 Speaker 1: story they were going to next the guy finished the 22 00:01:09,400 --> 00:01:12,520 Speaker 1: Maduro story. The new anchor, good looking guy. I can't 23 00:01:12,560 --> 00:01:17,240 Speaker 1: remember his name. I think they're trying to copy David Muwer. 24 00:01:17,360 --> 00:01:20,800 Speaker 1: That's the most successful evening newscasts in fact, in many weeks, 25 00:01:21,200 --> 00:01:23,319 Speaker 1: it's the number one show in all the television and 26 00:01:23,319 --> 00:01:26,840 Speaker 1: even primetime. So I think they're looking for that formula. 27 00:01:26,920 --> 00:01:30,560 Speaker 1: Real good looking, a mannequin sort of a guy, keep 28 00:01:30,560 --> 00:01:34,040 Speaker 1: the graphics, everything moving real fast. That's what they're going 29 00:01:34,080 --> 00:01:37,080 Speaker 1: to try. So they finished the story Maduro, and then 30 00:01:37,360 --> 00:01:40,880 Speaker 1: he thought they were going to the Mark Kelly story, 31 00:01:40,920 --> 00:01:43,280 Speaker 1: but they put up a different graphic and then he 32 00:01:43,319 --> 00:01:45,160 Speaker 1: stops right on the eggs. Wait a minute, which story 33 00:01:45,160 --> 00:01:46,560 Speaker 1: were we on? And they're talking to him in his 34 00:01:46,560 --> 00:01:49,640 Speaker 1: earphone and everybody's getting confused. They tell him which story. 35 00:01:49,760 --> 00:01:52,040 Speaker 1: He goes to that, but the graphics still come up 36 00:01:52,040 --> 00:01:55,560 Speaker 1: something else. So but he handled it pretty well. He 37 00:01:55,600 --> 00:01:58,280 Speaker 1: handled it pretty well, he said, you first week, everything's 38 00:01:58,320 --> 00:02:02,560 Speaker 1: going crazy, but that's okay. It actually went viral that clip. 39 00:02:03,480 --> 00:02:05,840 Speaker 1: It's pretty good actually, because they may have even done 40 00:02:05,880 --> 00:02:08,440 Speaker 1: it deliberately, because it gets a lot of attention that 41 00:02:08,480 --> 00:02:11,800 Speaker 1: there's a new anchor that when people see a clip 42 00:02:11,880 --> 00:02:14,720 Speaker 1: like that, everywhere. It's good promotion. It's better than any 43 00:02:14,760 --> 00:02:18,120 Speaker 1: advertising you could buy. But we try to bring you 44 00:02:18,200 --> 00:02:20,560 Speaker 1: the straight story, like here's the real facts, here's what's 45 00:02:20,600 --> 00:02:23,560 Speaker 1: really going on. Here's what they don't tell you in 46 00:02:23,639 --> 00:02:26,160 Speaker 1: fake news. They just leave a lot of stuff out, 47 00:02:26,760 --> 00:02:29,800 Speaker 1: you know, like when it comes to Maduro, they don't 48 00:02:29,800 --> 00:02:31,960 Speaker 1: tell you. You know, when Schumer says how this is the 49 00:02:32,000 --> 00:02:37,880 Speaker 1: most outrageous, illegal, most crazy thing anybody's ever done, they 50 00:02:38,080 --> 00:02:40,520 Speaker 1: never point out on any of these fake newscasts that 51 00:02:40,600 --> 00:02:45,840 Speaker 1: for ten years Schumer has been calling for this. Every Democrat, Pelosi, Schumer, 52 00:02:45,880 --> 00:02:49,760 Speaker 1: Elizabeth Warren, everybody can name. They've been yelling and screaming 53 00:02:49,760 --> 00:02:51,560 Speaker 1: to get rid of Maduro, to take them out, to 54 00:02:51,639 --> 00:02:55,960 Speaker 1: remove all screaming about it. And they're just children. They're 55 00:02:56,000 --> 00:02:57,920 Speaker 1: just childish. Now that it happened, they act like they 56 00:02:57,919 --> 00:03:00,480 Speaker 1: hate it. Then they make up all the stuff it's 57 00:03:00,480 --> 00:03:03,040 Speaker 1: a violation of international law. They never tell you there's 58 00:03:03,080 --> 00:03:06,240 Speaker 1: no such thing anywhere as any international law that the 59 00:03:06,320 --> 00:03:11,120 Speaker 1: United States has to follow international law. Where is this 60 00:03:11,240 --> 00:03:14,080 Speaker 1: international law coming from? And then they tell you the 61 00:03:14,120 --> 00:03:16,680 Speaker 1: War Powers Act. This has nothing to do with the 62 00:03:16,760 --> 00:03:19,600 Speaker 1: War Powers Act. If you wanted to go to war. 63 00:03:19,639 --> 00:03:21,000 Speaker 1: First of all, you know, if you went to war, 64 00:03:21,080 --> 00:03:23,440 Speaker 1: you don't have to follow the War Powers Act. But 65 00:03:23,520 --> 00:03:25,400 Speaker 1: that's really what it's for. If you decided to go 66 00:03:25,440 --> 00:03:28,640 Speaker 1: to war with the country. It doesn't apply to quick 67 00:03:28,960 --> 00:03:32,800 Speaker 1: two hour military operations. It has nothing to do with that. 68 00:03:33,240 --> 00:03:35,320 Speaker 1: You don't need any approval. Here's Mike Johnson. 69 00:03:35,560 --> 00:03:38,680 Speaker 2: Despite the claims by some of my colleagues, under the 70 00:03:38,720 --> 00:03:42,120 Speaker 2: War Powers Act, there is no requirement for prior congressional 71 00:03:42,160 --> 00:03:46,040 Speaker 2: approval or prior notification. And in fact, in this case, 72 00:03:46,520 --> 00:03:50,000 Speaker 2: the intelligence was so sensitive the conditions had to be perfect. 73 00:03:50,080 --> 00:03:52,800 Speaker 2: There was no predetermination of when exactly it would occur. 74 00:03:53,200 --> 00:03:56,120 Speaker 1: Yeah, it's a top secret. You you're gonna trust that 75 00:03:56,200 --> 00:03:59,640 Speaker 1: with Hakeem Jeffries. And then this Schumer, you know, with 76 00:03:59,720 --> 00:04:01,920 Speaker 1: his new glasses, it gets all bent out of shape. 77 00:04:01,920 --> 00:04:03,960 Speaker 1: You see the glasses fogging up. He gets mad. 78 00:04:04,120 --> 00:04:07,400 Speaker 3: I did not receive any assurances that we would not 79 00:04:08,640 --> 00:04:12,200 Speaker 3: try to do the same thing in other countries. And 80 00:04:12,320 --> 00:04:17,080 Speaker 3: in conclusion, when the United States engages in this kind 81 00:04:17,160 --> 00:04:22,080 Speaker 3: of regime change and so called nation building, it always 82 00:04:22,160 --> 00:04:23,799 Speaker 3: ends up hurting the United States. 83 00:04:24,480 --> 00:04:26,599 Speaker 1: Well, then why were you calling for it for ten years? 84 00:04:26,640 --> 00:04:30,599 Speaker 1: For ten years you've been demanding it. I give credit 85 00:04:30,640 --> 00:04:34,320 Speaker 1: to CNN. They had that awful Connecticut Senator Chris Murphy 86 00:04:34,320 --> 00:04:37,640 Speaker 1: on last night, who's such a hypocrite on this that 87 00:04:37,680 --> 00:04:41,080 Speaker 1: they actually on CNN they actually confronted him with it. 88 00:04:41,120 --> 00:04:43,200 Speaker 1: They put up his statement from like a year ago 89 00:04:43,760 --> 00:04:47,040 Speaker 1: calling for the immediate capture and the ouster of Maduro. 90 00:04:47,760 --> 00:04:50,040 Speaker 1: It was such a flip flop. They even confronted him 91 00:04:50,040 --> 00:04:52,080 Speaker 1: about it, and he didn't know what the hell does 92 00:04:52,160 --> 00:04:54,200 Speaker 1: say getting rid of Maduro? It's a great thing. Here's 93 00:04:54,240 --> 00:04:54,920 Speaker 1: Stephen Miller. 94 00:04:54,960 --> 00:04:57,480 Speaker 4: And as a result of that cooperation, the people of 95 00:04:57,520 --> 00:05:00,160 Speaker 4: Venezbela are going to become richer than they ever have before. Course, 96 00:05:00,200 --> 00:05:03,200 Speaker 4: the United States is gonna benefit from this massively in 97 00:05:03,240 --> 00:05:08,360 Speaker 4: terms of economic security and military cooperation kind of narcotics, 98 00:05:08,440 --> 00:05:11,160 Speaker 4: counter terrorism, and every other dimension of our security. 99 00:05:11,279 --> 00:05:12,920 Speaker 1: Again, I don't know what the hell he was doing 100 00:05:12,920 --> 00:05:15,400 Speaker 1: with drugs. Why wouldn't Maduro get involved with drugs. He's 101 00:05:15,640 --> 00:05:19,600 Speaker 1: sitting on twenty percent of the world's oil. Is seventeen 102 00:05:19,880 --> 00:05:22,880 Speaker 1: trillion dollars worth of oil right under the ground there. 103 00:05:22,880 --> 00:05:24,240 Speaker 1: All you'd do is take it out, and you could 104 00:05:24,240 --> 00:05:27,560 Speaker 1: be the whole country with all that oil they could 105 00:05:27,560 --> 00:05:30,400 Speaker 1: all be Saudi princes, they could all be oligarchs, everybody 106 00:05:30,440 --> 00:05:34,839 Speaker 1: in the country. It would look like a Dubai. It's 107 00:05:34,920 --> 00:05:38,760 Speaker 1: easy to do. Just fix the infrastructure and start pumping 108 00:05:38,760 --> 00:05:43,920 Speaker 1: the oil. There's three hundred billion barrels there underneath. So 109 00:05:44,040 --> 00:05:47,000 Speaker 1: the other thing the fake news does, besides leaving out 110 00:05:47,640 --> 00:05:49,520 Speaker 1: ninety percent of the story so you don't get the 111 00:05:49,520 --> 00:05:54,960 Speaker 1: full picture, they create these myths, these narratives. You know, 112 00:05:55,080 --> 00:05:58,000 Speaker 1: like Marjorie Taylor Green had a big fight with Trump, 113 00:05:58,960 --> 00:06:00,640 Speaker 1: not that he had much to do with her. I mean, 114 00:06:00,720 --> 00:06:02,400 Speaker 1: met her a couple of times, but he had really 115 00:06:02,400 --> 00:06:04,919 Speaker 1: no connection with her. Once in a while they be 116 00:06:04,960 --> 00:06:08,520 Speaker 1: together at some event or something, but very little connection 117 00:06:08,600 --> 00:06:10,400 Speaker 1: to Marjorie Tayler Green. She got mad, they got no 118 00:06:10,440 --> 00:06:14,760 Speaker 1: fight about something. She anyway, she quit, She's leaving. And 119 00:06:15,040 --> 00:06:19,200 Speaker 1: you'll see these stories all over fake news. MAGA torn apart. 120 00:06:19,839 --> 00:06:22,920 Speaker 1: There's a rift in MAGA. All in Maga's torn apart 121 00:06:23,000 --> 00:06:25,800 Speaker 1: by this nobody in MAGA. There are some people like 122 00:06:25,839 --> 00:06:28,440 Speaker 1: Marjorie Taylor Green, but it's a bunch of people away 123 00:06:28,480 --> 00:06:31,599 Speaker 1: over there, has nothing to do with MAGA. It's like 124 00:06:31,640 --> 00:06:35,880 Speaker 1: Steve Bannon will criticize Trump. Remember Steve Bannon. He's still around, 125 00:06:35,920 --> 00:06:40,840 Speaker 1: but you'll see Civil War and Mega. Steve Bannon has 126 00:06:40,920 --> 00:06:44,159 Speaker 1: nothing to do with the most of MAGA. If you 127 00:06:44,279 --> 00:06:47,640 Speaker 1: go in the cabinet room with Rubio and Scott Bessant 128 00:06:47,680 --> 00:06:53,000 Speaker 1: and Doug Bergham, they're not they're not thinking about Steve Bannon, 129 00:06:53,000 --> 00:06:56,240 Speaker 1: they're not worried about it. Nobody cares. It's like this guy, 130 00:06:56,320 --> 00:07:00,960 Speaker 1: George Conway. You remember George Conway was a thing called 131 00:07:01,000 --> 00:07:03,159 Speaker 1: the Lincoln Project. You remember how he went after Trump. 132 00:07:03,560 --> 00:07:06,240 Speaker 1: He had been married to the great Kelly Anne Conway, 133 00:07:06,839 --> 00:07:11,679 Speaker 1: but then they broke up when he went insane literally, 134 00:07:11,720 --> 00:07:16,800 Speaker 1: insane politically, and he's been attacking Trump. Remember that Lincoln 135 00:07:16,800 --> 00:07:18,720 Speaker 1: Project where they really went after him, all kinds of 136 00:07:18,760 --> 00:07:22,240 Speaker 1: made up nonsense. So now Conway is coming to New York. 137 00:07:22,280 --> 00:07:26,840 Speaker 1: He's gonna run for the seat. Is it Jerry Nadler's seat. 138 00:07:26,920 --> 00:07:30,280 Speaker 1: Jerry Nadler's not running for reelection. He's decided to leave 139 00:07:30,360 --> 00:07:33,840 Speaker 1: Congress and just devote full time to eating. So a 140 00:07:33,960 --> 00:07:37,800 Speaker 1: Conway will run for the seat. Now he doesn't live here. 141 00:07:37,800 --> 00:07:41,480 Speaker 1: He lives in Maryland. He used to live here, I 142 00:07:41,520 --> 00:07:43,840 Speaker 1: don't know, ten years ago, fifteen years he lived here, 143 00:07:44,120 --> 00:07:45,720 Speaker 1: but he's been living in Maryland's. I don't know how 144 00:07:45,680 --> 00:07:47,400 Speaker 1: he run for this seat, but he's gonna do it. 145 00:07:47,600 --> 00:07:49,880 Speaker 1: So if you watch the fake news, the MS, Now 146 00:07:49,960 --> 00:07:53,200 Speaker 1: Morning Joe, fake stuff, all they keep talking about is 147 00:07:54,400 --> 00:07:57,880 Speaker 1: if George Conway wins, it'll be an incredible thorn in 148 00:07:57,920 --> 00:08:01,680 Speaker 1: the side of Donald Trump. He'll be going after Donald Trump. 149 00:08:01,760 --> 00:08:06,080 Speaker 1: It'll be an incredible at tax on Donald. No again, 150 00:08:06,160 --> 00:08:10,240 Speaker 1: nobody in that cabinet room cares about George Conway. If 151 00:08:10,280 --> 00:08:11,960 Speaker 1: you mentioned the name, they'd look at you. You'd have 152 00:08:12,000 --> 00:08:13,960 Speaker 1: to describe him for two minutes before they remember who 153 00:08:14,000 --> 00:08:16,880 Speaker 1: the hell he is. No matter how much he attacks him, 154 00:08:17,280 --> 00:08:19,600 Speaker 1: it can't be any more than he's already been attacking him. 155 00:08:19,600 --> 00:08:22,160 Speaker 1: And it doesn't mean anything to them now. And let's 156 00:08:22,160 --> 00:08:24,120 Speaker 1: say he had that congressional seat and used it to 157 00:08:24,160 --> 00:08:26,560 Speaker 1: attack Trump, Well, it'd be the same thing as Nadler. 158 00:08:26,720 --> 00:08:31,200 Speaker 1: Nobody was a bigger critic than Nadler. It means absolutely nothing, 159 00:08:32,240 --> 00:08:35,240 Speaker 1: nothing to Donald Trump or MAGA or anything. But they 160 00:08:35,320 --> 00:08:38,440 Speaker 1: build it up like it's some big problem. And then 161 00:08:38,480 --> 00:08:42,839 Speaker 1: there's this pole that they released today, one of those aps. 162 00:08:42,880 --> 00:08:47,800 Speaker 1: Something Reuter is some fake news poll about seventy five 163 00:08:47,840 --> 00:08:50,720 Speaker 1: percent of America is not happy with capturing Maduro. They're 164 00:08:50,760 --> 00:08:53,520 Speaker 1: against it. Well, if you look into the metrics of 165 00:08:53,600 --> 00:08:57,360 Speaker 1: the pole, it's totally rigged, totally slanted. The question is 166 00:08:57,400 --> 00:09:00,520 Speaker 1: all wrong. They used the wrong group, the wrong the 167 00:09:00,559 --> 00:09:05,320 Speaker 1: wrong this the wrong time. And it was before anybody 168 00:09:05,440 --> 00:09:07,880 Speaker 1: knew anything about it was as soon as it happened 169 00:09:09,720 --> 00:09:11,840 Speaker 1: a couple days later. Everybody's had it explained to them 170 00:09:12,000 --> 00:09:14,760 Speaker 1: a million different ways. So if you did a real 171 00:09:14,800 --> 00:09:17,800 Speaker 1: poll with the right demographics and the right metrics right now, 172 00:09:17,880 --> 00:09:21,840 Speaker 1: you'd get a whole different reading. Hey, a lot of 173 00:09:21,880 --> 00:09:28,760 Speaker 1: celebrities got stranded because of the Maduro raid. When they 174 00:09:28,800 --> 00:09:32,360 Speaker 1: did that operation down there in South America, they closed 175 00:09:32,360 --> 00:09:36,319 Speaker 1: the airspace for a long distance because they didn't know 176 00:09:36,320 --> 00:09:38,200 Speaker 1: where those planes would have to go and get out. 177 00:09:38,720 --> 00:09:42,800 Speaker 1: They closed airspace. And this was the final days of 178 00:09:42,800 --> 00:09:46,000 Speaker 1: the Christmas break, the weekend Saturday and Sunday. So when 179 00:09:46,000 --> 00:09:48,440 Speaker 1: they closed the airspace, a lot of people could not 180 00:09:48,559 --> 00:09:51,120 Speaker 1: get off there. You know, some people go to these 181 00:09:51,280 --> 00:09:54,959 Speaker 1: crazy islands down there, like Saint Bart's and all those places. 182 00:09:55,000 --> 00:09:58,240 Speaker 1: So all these celebrities stranded, they could not get out, 183 00:09:58,320 --> 00:10:01,840 Speaker 1: airspace closed, their planes couldn't take off, though. They're all 184 00:10:01,920 --> 00:10:06,320 Speaker 1: yelling and screaming and complaining. Imagine complaining. Imagine you're a 185 00:10:06,320 --> 00:10:08,800 Speaker 1: millionaire celebrity. You're complaining that you had to spend an 186 00:10:08,800 --> 00:10:13,000 Speaker 1: extra two days at Saint Bart's. This is a big, 187 00:10:13,160 --> 00:10:16,760 Speaker 1: big problem to them, but they all got out eventually. 188 00:10:18,280 --> 00:10:22,280 Speaker 1: Speaking of celebrities, too many documentaries, there's too many documentaries. 189 00:10:23,160 --> 00:10:25,280 Speaker 1: There's one. I forgot to tell you about this, but 190 00:10:25,320 --> 00:10:30,480 Speaker 1: you should watch this. You know. Fox Nation is a Fox, 191 00:10:30,520 --> 00:10:33,640 Speaker 1: a twentieth century Fox. They started this. It's their streaming service. 192 00:10:33,640 --> 00:10:36,480 Speaker 1: It's called Fox Nation. It's got a lot of great shows. 193 00:10:36,480 --> 00:10:39,640 Speaker 1: But they just came out with the Sinatra documentary. I 194 00:10:39,720 --> 00:10:42,440 Speaker 1: already told you about this about four or five months ago. 195 00:10:42,640 --> 00:10:44,679 Speaker 1: Maybe it was six months ago. I'm in the documentary, 196 00:10:44,720 --> 00:10:47,560 Speaker 1: but that's when they were filming the whole thing. But 197 00:10:47,640 --> 00:10:52,120 Speaker 1: it's called Sinatra. What's it called Echoes of an Icon? 198 00:10:52,360 --> 00:10:55,280 Speaker 1: I'm not crazy about the title. But it's a great documentary. 199 00:10:56,000 --> 00:10:59,280 Speaker 1: It's two parts, two hours, and then there's an additional 200 00:11:01,320 --> 00:11:04,360 Speaker 1: a bunch of segments that you can watch. But it's 201 00:11:04,400 --> 00:11:08,600 Speaker 1: phenomenal and they spent a fortune on it because they 202 00:11:08,720 --> 00:11:12,040 Speaker 1: have all the rare clips and recordings and film clips, 203 00:11:12,080 --> 00:11:14,440 Speaker 1: tv clips. You gotta pay to use all these clips, 204 00:11:14,440 --> 00:11:16,600 Speaker 1: so they spend a lot of money. But it's on 205 00:11:16,800 --> 00:11:20,839 Speaker 1: Fox Nation. Fox Nation that you have to have a subscription, 206 00:11:20,960 --> 00:11:24,120 Speaker 1: but they're pretty cheap the subscriptions to Fox Nation, and 207 00:11:24,160 --> 00:11:25,640 Speaker 1: you'll love it. They got a lot of great programs. 208 00:11:25,679 --> 00:11:28,720 Speaker 1: But sign up for Fox Nation and then search for 209 00:11:28,880 --> 00:11:33,160 Speaker 1: Sinatra echoes of an icon Sinatra. Just type in Sinatra 210 00:11:33,760 --> 00:11:35,679 Speaker 1: and this documentary will come out. I'm in it. I'm 211 00:11:35,720 --> 00:11:37,679 Speaker 1: all through it, and there are a lot of people are 212 00:11:37,679 --> 00:11:40,880 Speaker 1: in it. But when it first was released, I just 213 00:11:40,920 --> 00:11:42,520 Speaker 1: wanted to watch it for a few minutes because I 214 00:11:42,600 --> 00:11:43,960 Speaker 1: just want to see what I look like in it. 215 00:11:44,000 --> 00:11:45,920 Speaker 1: I mean, to be honest, I could say they spent 216 00:11:46,000 --> 00:11:47,800 Speaker 1: a lot of money lighting the thing, in the set 217 00:11:47,840 --> 00:11:49,600 Speaker 1: and the whole thing. They just want to see how 218 00:11:49,600 --> 00:11:52,200 Speaker 1: it looked. So I was just gonna watch for five 219 00:11:52,200 --> 00:11:54,839 Speaker 1: minutes just to see if I look bad, I look good. 220 00:11:54,840 --> 00:11:57,640 Speaker 1: And it was just watch for five minutes. I ended 221 00:11:57,720 --> 00:11:59,599 Speaker 1: up watching the whole two hours. I couldn't stop it. 222 00:12:00,800 --> 00:12:03,160 Speaker 1: It's got all kinds of rare footage, all kinds of stuff. 223 00:12:03,520 --> 00:12:08,680 Speaker 1: You'll love it. So it's on Fox Nation now. The 224 00:12:08,720 --> 00:12:10,920 Speaker 1: other thing is there's too many of these documentaries, the 225 00:12:11,080 --> 00:12:14,280 Speaker 1: Chevy Chase documentary. Everybody's talking about the Chevy Chase doc 226 00:12:16,240 --> 00:12:18,400 Speaker 1: I like Chevy Chase, but do you really want to 227 00:12:18,400 --> 00:12:20,920 Speaker 1: spend two hours studying this guy's life. I mean, I'd 228 00:12:20,960 --> 00:12:22,880 Speaker 1: like to watch a movie of his or something like that, 229 00:12:23,000 --> 00:12:25,120 Speaker 1: or an old Saturday Night live clip, but do you 230 00:12:25,120 --> 00:12:27,080 Speaker 1: really need to know everything about this guy? And there's 231 00:12:27,120 --> 00:12:30,720 Speaker 1: nothing that interesting. The part everybody's talking about is how 232 00:12:31,840 --> 00:12:33,960 Speaker 1: how Baddy could be. He yelled at the director. She 233 00:12:34,040 --> 00:12:36,080 Speaker 1: was a woman, and he said something about you're not 234 00:12:36,200 --> 00:12:40,280 Speaker 1: que he yelled at her. I hate to break it 235 00:12:40,320 --> 00:12:42,439 Speaker 1: to you, this goes on all the time in movies, 236 00:12:42,559 --> 00:12:46,640 Speaker 1: in broadcasting, in television. All of your favorite stars, even 237 00:12:46,679 --> 00:12:48,560 Speaker 1: the nicest people in the world, who are really nice 238 00:12:48,600 --> 00:12:51,760 Speaker 1: people to work with, every so often something goes wrong 239 00:12:51,800 --> 00:12:54,320 Speaker 1: and they start yelling at somebody. Is he in the 240 00:12:54,320 --> 00:12:56,520 Speaker 1: control room? You've been doing this a long time. You've 241 00:12:56,520 --> 00:13:00,280 Speaker 1: had a host yell at you, right, it happens. There's 242 00:13:00,320 --> 00:13:02,480 Speaker 1: some guys that aren't so nice, you know, Like I 243 00:13:02,559 --> 00:13:06,200 Speaker 1: miss It was just cursing and screaming and yelling every break, 244 00:13:06,800 --> 00:13:09,920 Speaker 1: every time there was a commercial you'd yell at everybody. 245 00:13:09,920 --> 00:13:13,640 Speaker 1: I mean, just always yelling. Bob Grant could be a 246 00:13:13,679 --> 00:13:17,920 Speaker 1: pain in the neck to be around. I'm trying to 247 00:13:17,920 --> 00:13:25,480 Speaker 1: think I'm editing myself. But even the really nice guys, 248 00:13:25,520 --> 00:13:28,200 Speaker 1: the nicest people in broadcasting, they're the finest people you 249 00:13:28,200 --> 00:13:31,800 Speaker 1: could ever know. They're nice to everybody, they're generous, warm. 250 00:13:32,400 --> 00:13:34,280 Speaker 1: Once in a while, something goes wrong on a show 251 00:13:34,320 --> 00:13:38,679 Speaker 1: and they'll start yelling at somebody. It happens in everybody, everybody. 252 00:13:39,360 --> 00:13:42,000 Speaker 1: It happens in every TV studio, in the nicest house, 253 00:13:42,080 --> 00:13:45,000 Speaker 1: but something goes wrong. Sometimes you know, you're sitting there 254 00:13:45,000 --> 00:13:46,120 Speaker 1: in the green room and all of a sudden you 255 00:13:46,200 --> 00:13:48,960 Speaker 1: hear some yelling something when somebody screwed up something. Those 256 00:13:49,040 --> 00:13:52,719 Speaker 1: that's yelling. It goes out all the time. So but 257 00:13:53,000 --> 00:13:57,239 Speaker 1: they make it. They make things up in these documentaries 258 00:13:57,240 --> 00:13:59,720 Speaker 1: that aren't that important. They build them up, and some 259 00:13:59,760 --> 00:14:02,480 Speaker 1: of them because if they're not that interesting, you've got 260 00:14:02,480 --> 00:14:05,040 Speaker 1: to make up some stuff like this to make it 261 00:14:05,080 --> 00:14:11,120 Speaker 1: more interesting. Hey, Jimmy Kimmel is back, But not really, 262 00:14:11,400 --> 00:14:14,040 Speaker 1: not really. They know the show stinks, they know nobody's 263 00:14:14,080 --> 00:14:16,000 Speaker 1: watching it. The network wants to get rid of them. 264 00:14:16,280 --> 00:14:18,600 Speaker 1: They just renewed it for one year, which is the 265 00:14:18,640 --> 00:14:22,640 Speaker 1: biggest insult in the world. Standard renewal, standard new contract 266 00:14:22,680 --> 00:14:26,520 Speaker 1: is five years. You get a five year contract. Now, 267 00:14:26,560 --> 00:14:29,200 Speaker 1: there's some people, some hosts that don't like five year 268 00:14:29,240 --> 00:14:32,840 Speaker 1: contracts because it favors the company. They lock in for 269 00:14:32,880 --> 00:14:35,560 Speaker 1: five years at a certain price. So some people like 270 00:14:35,600 --> 00:14:37,880 Speaker 1: three year contracts that we can keep getting more rass. 271 00:14:37,960 --> 00:14:40,880 Speaker 1: But there's no such thing as a If you get 272 00:14:40,880 --> 00:14:43,120 Speaker 1: a one year extension means they have no faith in 273 00:14:43,160 --> 00:14:45,200 Speaker 1: you at all, and it most likely means they're going 274 00:14:45,240 --> 00:14:47,720 Speaker 1: to get rid of you, because if it's only a 275 00:14:47,760 --> 00:14:50,400 Speaker 1: one year extension, they don't mind paying that off. So 276 00:14:50,880 --> 00:14:53,360 Speaker 1: that was the biggest insult to Kimmel. And now that 277 00:14:53,440 --> 00:14:56,120 Speaker 1: he's back, they're cutting back on stuff like you know 278 00:14:56,120 --> 00:14:59,560 Speaker 1: they have a musical act every night, Well they're now 279 00:14:59,600 --> 00:15:02,120 Speaker 1: cutting down to like one night a week because it's 280 00:15:02,160 --> 00:15:05,840 Speaker 1: expensive to do the musical act. It costs more money 281 00:15:05,840 --> 00:15:10,040 Speaker 1: production wise than everything. And prediction they'll cut back on 282 00:15:10,160 --> 00:15:13,480 Speaker 1: live shows. They've already done that with the Tonight Show, Colbert. 283 00:15:13,520 --> 00:15:15,160 Speaker 1: You know, they're no longer five nights a week. They 284 00:15:15,160 --> 00:15:18,600 Speaker 1: do like four shows a week and run a rerun 285 00:15:18,640 --> 00:15:22,120 Speaker 1: on the fifth night, so expect that with Kim Well, 286 00:15:22,160 --> 00:15:24,320 Speaker 1: expect these shows to go to three nights a week 287 00:15:24,840 --> 00:15:29,280 Speaker 1: and two reruns per week. Hey, we'll take some calls next. 288 00:15:29,280 --> 00:15:32,280 Speaker 1: Eight hundred three to two one zero seven ten is 289 00:15:32,280 --> 00:15:36,320 Speaker 1: the number. Eight hundred three to two one zero seven 290 00:15:36,440 --> 00:15:39,480 Speaker 1: ten is the number. Hey, Wegman's getting a lot of flak. 291 00:15:40,680 --> 00:15:44,680 Speaker 1: They've announced it in New York. They're collecting biometric data. 292 00:15:45,560 --> 00:15:47,320 Speaker 1: You know, when you walk in the store, they're scanning 293 00:15:47,360 --> 00:15:50,600 Speaker 1: your face, they're scanning your eyeballs. I guess a lot 294 00:15:50,600 --> 00:15:53,280 Speaker 1: of stories do this, but for some reason in New York, 295 00:15:53,320 --> 00:15:58,520 Speaker 1: Wegmans is announced they're saving this data and a lot 296 00:15:58,520 --> 00:16:00,560 Speaker 1: of people aren't going to shop there right now. I'm 297 00:16:00,560 --> 00:16:03,080 Speaker 1: not chopping there anymore because I don't know. Let's say 298 00:16:03,160 --> 00:16:04,960 Speaker 1: at Wegman's they had a picture of your face and 299 00:16:05,000 --> 00:16:07,520 Speaker 1: your eyeballs. How damaging is this? What would you even 300 00:16:07,560 --> 00:16:10,520 Speaker 1: be worried about? The people that I'm never going in 301 00:16:10,520 --> 00:16:12,520 Speaker 1: there again are the same people that put their face 302 00:16:12,560 --> 00:16:15,000 Speaker 1: in their eyeballs up on Instagram ten times a day. 303 00:16:15,400 --> 00:16:19,200 Speaker 1: But nobody can figure out why they're doing it. They 304 00:16:19,240 --> 00:16:23,680 Speaker 1: said it's a security thing to identify any possible threats. 305 00:16:23,840 --> 00:16:26,120 Speaker 1: To I don't even know what that means, and that 306 00:16:26,160 --> 00:16:28,600 Speaker 1: would apply to every business and every store in New York. 307 00:16:29,240 --> 00:16:31,200 Speaker 1: But they don't need to do it. They haven't reversed 308 00:16:31,200 --> 00:16:33,240 Speaker 1: it yet. They're getting a lot of flack. I guess 309 00:16:33,240 --> 00:16:35,560 Speaker 1: they're waiting to see how much of a drop in 310 00:16:35,640 --> 00:16:38,920 Speaker 1: traffic they get as a result, and why just Manhattan. 311 00:16:39,000 --> 00:16:44,680 Speaker 1: It's a strange thing, but I think deep time, you're 312 00:16:44,680 --> 00:16:47,440 Speaker 1: going to turn out they're collecting this data because it's 313 00:16:47,440 --> 00:16:52,720 Speaker 1: going to be valuable commercially somewhere in the future. You know, 314 00:16:52,920 --> 00:16:55,600 Speaker 1: right now, every business been collecting your email, your cell 315 00:16:55,640 --> 00:16:58,080 Speaker 1: phone number. That way they can bobarde you with ads 316 00:16:58,160 --> 00:17:01,600 Speaker 1: or something. This facial record ignition stuff. Somewhere in the future, 317 00:17:01,640 --> 00:17:04,399 Speaker 1: it's going to be used for marketing or spam or 318 00:17:04,400 --> 00:17:06,560 Speaker 1: that kind of stuff. Hey, we'll take some calls. Next 319 00:17:06,560 --> 00:17:09,600 Speaker 1: eight hundred three two one zero seven ten is the 320 00:17:09,640 --> 00:17:09,760 Speaker 1: nin