1 00:00:01,920 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,280 --> 00:00:07,720 Speaker 1: Washington Broadcast Center. 3 00:00:07,840 --> 00:00:12,560 Speaker 2: Jack Armstrong and Joe Getty, I'm strong and Getty and he. 4 00:00:15,480 --> 00:00:28,040 Speaker 1: Armstrong and Yetty. 5 00:00:24,120 --> 00:00:26,960 Speaker 2: Puerto Rico, where I'm in my home state of Delaware. 6 00:00:27,320 --> 00:00:31,280 Speaker 2: They're good, decent, honorable people. The only garbage icy float down, 7 00:00:31,320 --> 00:00:34,199 Speaker 2: there's your supporters. Now, the White House says that Biden 8 00:00:34,320 --> 00:00:36,599 Speaker 2: wasn't talking about Trump's supporters. 9 00:00:36,840 --> 00:00:40,080 Speaker 3: They even released a transcript last night where they inserted 10 00:00:40,120 --> 00:00:43,040 Speaker 3: an apostrophe in the word supporters. 11 00:00:43,040 --> 00:00:45,640 Speaker 2: There's an apostrophe there. He's talking about his supporter, I 12 00:00:45,760 --> 00:00:49,680 Speaker 2: mean the comedian his comments. The only garbage icy floating down, 13 00:00:49,680 --> 00:00:50,839 Speaker 2: there's your supporters. 14 00:00:50,920 --> 00:00:54,840 Speaker 4: Apostrophe S so singular supporter with an apostrophe and an s. 15 00:00:55,000 --> 00:00:57,240 Speaker 4: As someone who had a starter growing up, it's very 16 00:00:57,240 --> 00:00:59,160 Speaker 4: obvious to me there's an apostrophe at the end of 17 00:00:59,160 --> 00:00:59,960 Speaker 4: supporters there. 18 00:01:00,080 --> 00:01:02,880 Speaker 5: He was preferring to be garbage viewed by supporters, not 19 00:01:03,000 --> 00:01:04,760 Speaker 5: simply the supporters themselves. 20 00:01:04,800 --> 00:01:07,319 Speaker 2: It's a question, is John's head of an apostrophe? Really 21 00:01:07,360 --> 00:01:07,679 Speaker 2: it's a. 22 00:01:07,640 --> 00:01:11,560 Speaker 3: Nothing murder h It's possible that that's true, but you 23 00:01:11,640 --> 00:01:15,240 Speaker 3: don't allow that possibility with anything that's Trump said on 24 00:01:15,280 --> 00:01:18,240 Speaker 3: the Trump side obviously, even. 25 00:01:18,040 --> 00:01:21,240 Speaker 2: If it's like a fourth rate surrogate. 26 00:01:21,280 --> 00:01:24,160 Speaker 3: Right, And I should have grabbed the clip. Nora O'Donnell 27 00:01:24,200 --> 00:01:27,520 Speaker 3: actually said the other night something along the lines of 28 00:01:27,560 --> 00:01:31,679 Speaker 3: the Trump campaign pouncing on Biden's gaff showing no grace. 29 00:01:32,760 --> 00:01:35,559 Speaker 3: I thought, yeah, for all the grace that's shown by 30 00:01:35,800 --> 00:01:40,120 Speaker 3: you and the Biden Harris crowd on if Trump has 31 00:01:40,160 --> 00:01:42,160 Speaker 3: a gaff, give me a break. Who do you think 32 00:01:42,200 --> 00:01:43,319 Speaker 3: you're fooling with that stuff? 33 00:01:43,440 --> 00:01:46,600 Speaker 1: Which I tell you what, and every time somebody like 34 00:01:46,680 --> 00:01:50,200 Speaker 1: her says something like that, another five hundred people say, 35 00:01:50,280 --> 00:01:52,600 Speaker 1: you know what, I'm not a fan of Trump, but 36 00:01:52,640 --> 00:01:54,120 Speaker 1: I'm not letting you win with that. 37 00:01:54,120 --> 00:01:58,920 Speaker 2: Crab well right, showing no grace. I don't even have 38 00:01:58,960 --> 00:02:00,400 Speaker 2: the energy, right, So that. 39 00:02:00,920 --> 00:02:03,320 Speaker 3: Fits in with this thing that I just came across. Oh, first, 40 00:02:03,480 --> 00:02:07,720 Speaker 3: let's hear from David Axelrod on why this isn't necessarily 41 00:02:07,720 --> 00:02:08,720 Speaker 3: good for the Democrats. 42 00:02:09,120 --> 00:02:12,120 Speaker 4: Instead of her closing speech being the story, half of 43 00:02:12,160 --> 00:02:14,480 Speaker 4: it was what Biden said, and it gave an out 44 00:02:14,560 --> 00:02:18,239 Speaker 4: to Trump after that horrible rally at Madison Square Garden 45 00:02:18,280 --> 00:02:23,840 Speaker 4: with that comedian sliming Porto Rico and Porto Ricans, and 46 00:02:23,880 --> 00:02:26,399 Speaker 4: it gave him a chance to pose in a garbage 47 00:02:26,440 --> 00:02:30,440 Speaker 4: truck and say, they're accusing my supporters of being garbage. 48 00:02:30,520 --> 00:02:33,519 Speaker 4: So it really was an unforced era, but it wasn't hers, 49 00:02:33,560 --> 00:02:34,079 Speaker 4: it was his. 50 00:02:34,840 --> 00:02:37,959 Speaker 3: Yeah, it did not help Kamala Harris Ultimately, I don't 51 00:02:37,960 --> 00:02:39,919 Speaker 3: think in anyway. I don't agree with a lot of 52 00:02:39,960 --> 00:02:43,360 Speaker 3: his characterization there, but I don't think it helped Harris Ultimately. 53 00:02:43,840 --> 00:02:46,960 Speaker 3: I love how the comedian was the leaf that fell 54 00:02:47,000 --> 00:02:49,560 Speaker 3: in the forest, never mind the tree, right, and they 55 00:02:49,600 --> 00:02:52,720 Speaker 3: elevated that into a mighty oak, crashing into Times Square 56 00:02:52,760 --> 00:02:56,359 Speaker 3: and killing a hundred tourists. But then this sitting botas. 57 00:02:56,000 --> 00:02:57,760 Speaker 1: Says is what he says, that it's like it's a 58 00:02:57,760 --> 00:02:59,240 Speaker 1: big nothing y'aller fools. 59 00:02:59,360 --> 00:03:01,440 Speaker 3: So I didn't read this story on Fox, but it 60 00:03:01,639 --> 00:03:06,760 Speaker 3: rings true. TV executive panics that Trump winning means press 61 00:03:06,800 --> 00:03:12,800 Speaker 3: has little influence, mainstream media is dead. You'd have to 62 00:03:12,919 --> 00:03:18,360 Speaker 3: almost conclude, wouldn't you, Especially there's a decent chance that 63 00:03:18,400 --> 00:03:21,320 Speaker 3: Trump is gonna overperform so much in Florida, do so 64 00:03:21,440 --> 00:03:23,680 Speaker 3: much better that he's done in California in the past 65 00:03:23,720 --> 00:03:26,359 Speaker 3: and Texas, that he is not only going to win 66 00:03:26,400 --> 00:03:30,680 Speaker 3: the presidency. He's gonna win the flat out freaking vote. 67 00:03:31,080 --> 00:03:33,240 Speaker 3: I mean, he's just playing, gonna have more people vote 68 00:03:33,240 --> 00:03:35,760 Speaker 3: for him. Overall, He'll win the electoral College and the 69 00:03:35,800 --> 00:03:39,840 Speaker 3: popular vote. I'm not a Marxist, but I do like 70 00:03:40,040 --> 00:03:43,640 Speaker 3: tearing down the system of mainstream media, and I would 71 00:03:43,720 --> 00:03:47,800 Speaker 3: love to see people's heads explode if that happens, if 72 00:03:47,800 --> 00:03:51,000 Speaker 3: Trump wins the electric College and the general election vote. 73 00:03:51,000 --> 00:03:53,240 Speaker 3: But see, so you can't he can't just lean on 74 00:03:53,480 --> 00:03:55,960 Speaker 3: We've got to do with the electoral colleges Claire blah blah, 75 00:03:55,960 --> 00:03:56,560 Speaker 3: blah blah blah. 76 00:03:56,600 --> 00:03:58,280 Speaker 2: No, he just flat out got more votes. 77 00:03:58,920 --> 00:04:02,840 Speaker 3: How would you not include that mainstream media is dead 78 00:04:03,760 --> 00:04:06,760 Speaker 3: in its current configuration. It's got to start doing it differently, 79 00:04:06,920 --> 00:04:09,560 Speaker 3: which is what Jeff Bezos was saying at the Washington Post. 80 00:04:09,920 --> 00:04:10,280 Speaker 2: We got it. 81 00:04:10,280 --> 00:04:14,400 Speaker 3: We got to start doing things differently, completely differently in 82 00:04:14,440 --> 00:04:19,240 Speaker 3: some ways, because they have gone all in, not just 83 00:04:19,360 --> 00:04:23,839 Speaker 3: like sixty forty, seventy thirty, even eighty twenty, it's really 84 00:04:23,920 --> 00:04:29,440 Speaker 3: practically ninety five to five on on promoting one candidate 85 00:04:29,480 --> 00:04:32,279 Speaker 3: over the other. And you still got your asses kicked. 86 00:04:32,480 --> 00:04:34,560 Speaker 3: So at that point, how do you feel relevant at all? 87 00:04:35,560 --> 00:04:35,760 Speaker 2: Yeah? 88 00:04:35,800 --> 00:04:38,920 Speaker 1: To, you know, abuse, Thomas Jefferson from time to time, 89 00:04:38,960 --> 00:04:42,640 Speaker 1: the tree of liberty must be watered with canceled subscriptions. 90 00:04:43,080 --> 00:04:45,800 Speaker 1: I guess you know what's amazing from just from a 91 00:04:45,880 --> 00:04:49,840 Speaker 1: human psychology a standpoint. Tell me if I'm wrong, folks, 92 00:04:50,960 --> 00:04:56,440 Speaker 1: to be as wildly out of touch as the mainstream 93 00:04:56,480 --> 00:04:59,200 Speaker 1: media media is. We've talked about it so many times, 94 00:04:59,200 --> 00:05:02,120 Speaker 1: how they're the view they give you of what America 95 00:05:02,160 --> 00:05:04,280 Speaker 1: is and what America thinks is like a funhouse mirror. 96 00:05:04,640 --> 00:05:06,599 Speaker 1: But to be so wildly out of touch and be 97 00:05:06,680 --> 00:05:10,640 Speaker 1: completely unaware of it to the point that you get 98 00:05:10,680 --> 00:05:13,400 Speaker 1: the result that Jack's talking about after the election, They're 99 00:05:13,480 --> 00:05:17,400 Speaker 1: just they can't even believe that the America they've been 100 00:05:17,480 --> 00:05:20,040 Speaker 1: describing to us didn't go the way they wanted. I mean, 101 00:05:20,160 --> 00:05:24,560 Speaker 1: it'd be like walking into a big room full of 102 00:05:24,640 --> 00:05:28,600 Speaker 1: people in full San Francisco forty nine ers regalia and 103 00:05:28,640 --> 00:05:30,880 Speaker 1: just be going on and on about how the Niners 104 00:05:31,040 --> 00:05:34,720 Speaker 1: suck in their fans, are stupid and nobody likes them 105 00:05:34,720 --> 00:05:38,159 Speaker 1: and blah blah blah, and be unaware. 106 00:05:38,920 --> 00:05:42,159 Speaker 2: Of what you're doing. I mean that is that is 107 00:05:42,240 --> 00:05:43,640 Speaker 2: some serious blindness. 108 00:05:44,120 --> 00:05:47,200 Speaker 1: Of course, anybody who studied history knows entire populations can 109 00:05:47,240 --> 00:05:51,000 Speaker 1: go in for things that are utterly abominable. You can 110 00:05:51,040 --> 00:05:56,839 Speaker 1: convince and bamboozle, bribe and tempt soft headed humans to 111 00:05:56,839 --> 00:05:57,880 Speaker 1: do about anything. 112 00:05:59,120 --> 00:06:03,560 Speaker 3: So I'm looking at Joaquin Castro, remember him, representative from 113 00:06:03,760 --> 00:06:06,680 Speaker 3: Texas who ran for president same year Kamala did. 114 00:06:07,440 --> 00:06:10,000 Speaker 2: Was he the guy who tried that ham handed Biden 115 00:06:10,080 --> 00:06:10,720 Speaker 2: is senile? 116 00:06:11,000 --> 00:06:15,000 Speaker 3: Ploy He lasted about as long as Kamala did that year. 117 00:06:16,600 --> 00:06:22,320 Speaker 3: He's up there on CNN it says Hispanic's rallying against 118 00:06:22,640 --> 00:06:29,279 Speaker 3: racist terms at Trump rally. So day five of covering 119 00:06:29,320 --> 00:06:31,320 Speaker 3: that comedian's jokes. 120 00:06:31,320 --> 00:06:33,239 Speaker 2: The leaf that fell in the forest, day. 121 00:06:33,240 --> 00:06:38,920 Speaker 3: Five, to David Axelrod's point, that's your closing argument, obscuring 122 00:06:38,920 --> 00:06:41,200 Speaker 3: anything else, Kamala Harris wants to say, Okay, I can 123 00:06:41,279 --> 00:06:43,120 Speaker 3: go ahead. I'm all for it since I want her 124 00:06:43,160 --> 00:06:43,520 Speaker 3: to lose. 125 00:06:45,279 --> 00:06:47,120 Speaker 2: So speaking of the media, came across this. 126 00:06:47,200 --> 00:06:51,680 Speaker 1: The fabulous Andrew Styles at the Free Beacon is talking 127 00:06:51,720 --> 00:06:54,640 Speaker 1: about this garbage election will be over in four days, 128 00:06:54,640 --> 00:06:57,400 Speaker 1: god willing. And he goes through if Kamala Harris wins, 129 00:06:57,400 --> 00:07:01,600 Speaker 1: and if Trump wins, and if Tamala wins. His main 130 00:07:01,760 --> 00:07:06,160 Speaker 1: point is the mainstream media will congratulate themselves for saving democracy. 131 00:07:06,200 --> 00:07:08,000 Speaker 1: For many journalists, it will be the best thing that 132 00:07:08,040 --> 00:07:09,720 Speaker 1: will ever happen to them for the rest of their 133 00:07:09,720 --> 00:07:10,880 Speaker 1: miserable lives. 134 00:07:13,160 --> 00:07:14,760 Speaker 2: But then he says, and he's. 135 00:07:14,640 --> 00:07:18,480 Speaker 1: Quite right, and we saw this post twenty twenty that 136 00:07:18,600 --> 00:07:24,160 Speaker 1: without the great monster to rail against, they will be. 137 00:07:24,360 --> 00:07:27,679 Speaker 1: They will hemorrhage money because nobody wants to hear about 138 00:07:27,720 --> 00:07:30,840 Speaker 1: how Meanhouse Republicans are a bunch of Nazis for voting 139 00:07:30,880 --> 00:07:34,880 Speaker 1: down some obscure Harris Humor Common Sense Solutions Act of 140 00:07:34,920 --> 00:07:37,920 Speaker 1: twenty twenty five. There's just no drama in it. So 141 00:07:37,960 --> 00:07:41,400 Speaker 1: it'll be terrible for them. If Kamala wins business wise, 142 00:07:41,440 --> 00:07:43,960 Speaker 1: which I think is true. But here's the part I 143 00:07:44,120 --> 00:07:47,040 Speaker 1: really liked, and this is. 144 00:07:48,560 --> 00:07:50,120 Speaker 2: Well, this is one hundred percent right. 145 00:07:50,280 --> 00:07:53,320 Speaker 1: If Trump wins, millions of college degree holders will suffer 146 00:07:53,400 --> 00:07:57,600 Speaker 1: screeching mental breakdowns, will witness a collective tantrum the likes 147 00:07:57,640 --> 00:08:00,120 Speaker 1: of which the world has never known. 148 00:07:59,520 --> 00:08:02,080 Speaker 3: I'm going to be It's gonna be as if I'm 149 00:08:02,680 --> 00:08:05,760 Speaker 3: dipped in a vat of Schadenfreud on Tuesday Night. 150 00:08:05,800 --> 00:08:06,760 Speaker 2: If it goes the way. 151 00:08:06,960 --> 00:08:09,040 Speaker 3: I think it's gonna go, I mean, it's gonna be 152 00:08:09,520 --> 00:08:13,760 Speaker 3: just I'm just gonna lay there in my Shoden Freud, rolling. 153 00:08:13,520 --> 00:08:20,280 Speaker 2: Around, warm and off like Caligula of Old. I know, right, Yeah, 154 00:08:20,320 --> 00:08:21,080 Speaker 2: I have been. 155 00:08:21,480 --> 00:08:24,720 Speaker 1: I think it'll be like the two I think, just 156 00:08:24,840 --> 00:08:30,960 Speaker 1: two or actual riots I've been present for and both 157 00:08:31,000 --> 00:08:32,400 Speaker 1: times I had the same feeling. 158 00:08:33,480 --> 00:08:36,479 Speaker 2: This is awful, what is really interesting. 159 00:08:37,280 --> 00:08:39,640 Speaker 1: This is something a witness and I think that the 160 00:08:40,040 --> 00:08:41,600 Speaker 1: mass freak out is going to be a lot like that. 161 00:08:41,679 --> 00:08:42,760 Speaker 2: Michael, did you want to say something? 162 00:08:42,840 --> 00:08:44,960 Speaker 1: Yeah, Jack said that twenty sixteen was one of the 163 00:08:44,960 --> 00:08:47,160 Speaker 1: greatest nights. 164 00:08:47,040 --> 00:08:48,640 Speaker 2: It's gonna be better. This could be better than the 165 00:08:48,640 --> 00:08:51,040 Speaker 2: greatest night of my life. Yeah. 166 00:08:51,120 --> 00:08:54,920 Speaker 1: Our lives professionally will be slightly more difficult if Trump wins. 167 00:08:54,960 --> 00:08:57,120 Speaker 2: I agree, just because Hey, I'm gonna be honest with you. 168 00:08:57,280 --> 00:08:59,880 Speaker 1: It's it's much easier to rail against the evils of 169 00:09:00,040 --> 00:09:01,040 Speaker 1: the sitting administration. 170 00:09:01,400 --> 00:09:04,040 Speaker 2: Sure, I mean, it's just it's effortless. 171 00:09:04,120 --> 00:09:06,920 Speaker 3: Yeah, Rush Limbaugh was at his best when you had 172 00:09:06,920 --> 00:09:08,160 Speaker 3: a Democrat in the White House. 173 00:09:08,480 --> 00:09:10,040 Speaker 2: Oh yeah. Yeah. 174 00:09:10,080 --> 00:09:12,439 Speaker 1: And our pledge to you is if Trump wins and 175 00:09:12,480 --> 00:09:14,760 Speaker 1: the Trump administration screws up, we're gonna say, hey, they 176 00:09:14,840 --> 00:09:15,320 Speaker 1: screwed up. 177 00:09:15,360 --> 00:09:17,120 Speaker 2: It's what we do. So like it or not, that's 178 00:09:17,120 --> 00:09:17,599 Speaker 2: what we're gonna do. 179 00:09:17,679 --> 00:09:19,320 Speaker 3: But anyway, my pledge is we're going to talk a 180 00:09:19,320 --> 00:09:21,320 Speaker 3: lot less about politics here soon, I hope. 181 00:09:21,559 --> 00:09:24,280 Speaker 1: Oh yeah, amen to that anyway, But back to styles, 182 00:09:24,320 --> 00:09:25,319 Speaker 1: because I think this is so good. 183 00:09:25,400 --> 00:09:26,680 Speaker 2: Let's see the collective trauma. 184 00:09:26,840 --> 00:09:29,240 Speaker 1: There will be a bunch of headlines about how America 185 00:09:29,440 --> 00:09:32,920 Speaker 1: chose fascism right. A bunch of celebrities will insist they 186 00:09:32,920 --> 00:09:35,160 Speaker 1: were serious about leaving the country but never follow through 187 00:09:35,280 --> 00:09:38,760 Speaker 1: the unchanging their official residences to some offshore tax haven. 188 00:09:39,440 --> 00:09:43,720 Speaker 1: Journalists will anoint themselves again as guardians of democracy, only harder. 189 00:09:44,240 --> 00:09:45,240 Speaker 2: Their behavior will. 190 00:09:45,080 --> 00:09:47,640 Speaker 1: Grow increasingly stupid, perhaps to the point where they start 191 00:09:47,640 --> 00:09:51,600 Speaker 1: doing sittings on the White House lawn or reading Constitution. 192 00:09:51,800 --> 00:09:53,600 Speaker 2: And guy Fowkes Masks. 193 00:09:55,000 --> 00:09:57,319 Speaker 1: Are quitting their jobs to go live in a compound 194 00:09:57,360 --> 00:10:01,480 Speaker 1: with armed separatists in California. And no one will ever 195 00:10:01,600 --> 00:10:04,680 Speaker 1: ask Kamala Harris to run for public office ever again. 196 00:10:05,080 --> 00:10:07,240 Speaker 2: Either way, he should be fun to watch. Oh if 197 00:10:07,280 --> 00:10:08,080 Speaker 2: Trump wins. 198 00:10:08,240 --> 00:10:11,880 Speaker 3: How many Democrats don't attend the inauguration? First of all, 199 00:10:11,920 --> 00:10:14,559 Speaker 3: before we ever get close to that, how many Democrats 200 00:10:14,600 --> 00:10:17,479 Speaker 3: refuse to accept the vote sure. 201 00:10:17,400 --> 00:10:22,920 Speaker 1: Yeah, yeah, what time is it. Yeah, we should probably 202 00:10:22,920 --> 00:10:24,560 Speaker 1: take a break. I got all sorts of stuff I 203 00:10:24,600 --> 00:10:25,120 Speaker 1: want to get to. 204 00:10:26,240 --> 00:10:30,520 Speaker 3: I want to talk about how Ford is pausing perhaps forever, 205 00:10:31,360 --> 00:10:35,240 Speaker 3: the F one fifty lightning electric truck because people just 206 00:10:35,240 --> 00:10:38,920 Speaker 3: don't want it, and another big blow to the electric 207 00:10:39,480 --> 00:10:40,560 Speaker 3: car industry. 208 00:10:41,600 --> 00:10:43,000 Speaker 2: Hey, I wanted to throw in one more thing. 209 00:10:43,000 --> 00:10:45,480 Speaker 1: I almost forgot about it, speaking of the whole garbage deal, 210 00:10:45,480 --> 00:10:48,440 Speaker 1: which was what spawned the whole preceding conversation. 211 00:10:50,160 --> 00:10:51,640 Speaker 2: There are five. 212 00:10:52,920 --> 00:10:56,040 Speaker 1: Very close Senate races, and Fox News reached out to 213 00:10:56,040 --> 00:11:01,480 Speaker 1: the five Democrat senators or candidates they're all sitting as senators, 214 00:11:01,480 --> 00:11:04,640 Speaker 1: come to think of it, for a comment on Biden's remarks, 215 00:11:04,840 --> 00:11:08,160 Speaker 1: and they did not go with the hey he uh 216 00:11:08,800 --> 00:11:12,320 Speaker 1: he misspoke and blah blah blah. They all went with 217 00:11:13,160 --> 00:11:17,760 Speaker 1: like Tammy Baldwin. Tammy Baldwin does not agree with President Biden. 218 00:11:18,200 --> 00:11:21,760 Speaker 1: Her campaign spokeswoman said, Tammy's fighting for all Wisconsin nights, 219 00:11:21,760 --> 00:11:23,559 Speaker 1: no matter who they are and who they vote for. 220 00:11:24,280 --> 00:11:27,320 Speaker 3: Well, it's right that handful of governor senator candidates on 221 00:11:27,360 --> 00:11:30,560 Speaker 3: the left that have Trump in their ads. I'll work 222 00:11:30,600 --> 00:11:33,959 Speaker 3: with Trump. Oh, the fascist dictator who's going to end 223 00:11:34,040 --> 00:11:34,480 Speaker 3: the country. 224 00:11:34,480 --> 00:11:35,720 Speaker 2: You're gonna work with him? Huh. 225 00:11:35,760 --> 00:11:37,880 Speaker 3: You must not feel the same way about him as 226 00:11:38,160 --> 00:11:39,599 Speaker 3: Kamala Harris apparently. 227 00:11:41,240 --> 00:11:44,160 Speaker 1: Yeah, maybe it's just political practicality, but they're not trying 228 00:11:44,160 --> 00:11:45,560 Speaker 1: to explain the remark. 229 00:11:45,679 --> 00:11:47,880 Speaker 2: They're just openly disagreeing with it. 230 00:11:48,679 --> 00:11:50,320 Speaker 3: Much more on the way, Hey, you can Texas any 231 00:11:50,360 --> 00:11:52,320 Speaker 3: time you want text line four one five two nine 232 00:11:52,440 --> 00:11:53,280 Speaker 3: five KFTC. 233 00:11:57,280 --> 00:12:01,080 Speaker 6: New York Mayor Eric Adam spoke today the YPD recruit 234 00:12:01,160 --> 00:12:03,840 Speaker 6: graduation ceremony. It's wild to think that someday one of 235 00:12:03,840 --> 00:12:06,200 Speaker 6: those fresh young faces could be the one who finally 236 00:12:06,240 --> 00:12:07,760 Speaker 6: takes Adams into custody. 237 00:12:10,800 --> 00:12:11,120 Speaker 2: Hmmm. 238 00:12:11,800 --> 00:12:14,319 Speaker 1: That's a decent enough political joke, I guess, although it 239 00:12:14,440 --> 00:12:16,280 Speaker 1: feels like lawfair to me a little bit. 240 00:12:16,679 --> 00:12:20,600 Speaker 3: A couple of Elon things before we move into something 241 00:12:20,640 --> 00:12:23,680 Speaker 3: that Elon really played a major role in electric vehicles 242 00:12:23,679 --> 00:12:25,880 Speaker 3: and how they ain't quite catching on like people thought 243 00:12:25,880 --> 00:12:29,720 Speaker 3: they would. But first Elon this from the Washington Post. 244 00:12:29,760 --> 00:12:33,480 Speaker 3: I just thought their take on this was well typical 245 00:12:33,520 --> 00:12:38,640 Speaker 3: of left leaning views of government. Elon Musk is enthusiastic 246 00:12:38,679 --> 00:12:41,680 Speaker 3: about the potential to bring his slash and burn business 247 00:12:41,679 --> 00:12:45,640 Speaker 3: philosophy honed at Twitter and Tesla to dramatically cut the 248 00:12:45,640 --> 00:12:49,440 Speaker 3: federal government under Trump, critics see potential conflicts of interest, 249 00:12:50,400 --> 00:12:54,920 Speaker 3: So Lee cow his slash and burn philosophy, which you 250 00:12:54,960 --> 00:13:00,720 Speaker 3: know are negative terms you use to describe what you 251 00:13:00,800 --> 00:13:03,400 Speaker 3: have to do to keep your business prosperous. 252 00:13:04,240 --> 00:13:07,520 Speaker 2: Well trying to describe them as wanton destruction U. 253 00:13:08,200 --> 00:13:11,120 Speaker 3: And that is never allowed in the government where you 254 00:13:11,360 --> 00:13:13,319 Speaker 3: are allowed to do the sort of thing where you say, 255 00:13:13,840 --> 00:13:16,120 Speaker 3: this doesn't make any sense, why do we still do it? 256 00:13:16,720 --> 00:13:19,720 Speaker 3: That would be slash and burn because people lose their jobs. 257 00:13:20,280 --> 00:13:21,640 Speaker 3: Conflicts of interest? 258 00:13:22,200 --> 00:13:25,520 Speaker 1: How about the conflict of interest with the taxpayer? That 259 00:13:25,679 --> 00:13:30,079 Speaker 1: is the never ending growth of the money squandering, money 260 00:13:30,120 --> 00:13:34,280 Speaker 1: barwing colossus, the unstoppable colossus. 261 00:13:33,760 --> 00:13:35,040 Speaker 2: That is the federal government. 262 00:13:35,160 --> 00:13:37,240 Speaker 1: When was the last time you wrote about that conflict 263 00:13:37,240 --> 00:13:37,680 Speaker 1: of interest? 264 00:13:37,679 --> 00:13:38,040 Speaker 2: Wappo? 265 00:13:38,520 --> 00:13:41,240 Speaker 1: Actually, they write about the debt fairly frequently, but nobody 266 00:13:41,280 --> 00:13:43,040 Speaker 1: seems to care about it or. 267 00:13:43,160 --> 00:13:44,520 Speaker 2: All the reflective interest. 268 00:13:44,720 --> 00:13:47,080 Speaker 1: I'd like to bring the interest on my fist in 269 00:13:47,200 --> 00:13:50,720 Speaker 1: conflict with your jaw. Wow, that wasn't a great metaphor, 270 00:13:50,840 --> 00:13:53,400 Speaker 1: but the point is, I. 271 00:13:53,360 --> 00:13:58,720 Speaker 3: Feel like that's off the rails, can't take it anymore. 272 00:13:58,800 --> 00:14:00,480 Speaker 3: We'll get enough on that because I'm one around out 273 00:14:00,480 --> 00:14:02,080 Speaker 3: of time. You had another Elon thing before I move 274 00:14:02,120 --> 00:14:05,719 Speaker 3: on to the electric's vehicle. Yeah, listen to this shiznizzl, 275 00:14:05,760 --> 00:14:09,560 Speaker 3: will you? This is Wired dot com, which is well 276 00:14:09,600 --> 00:14:14,800 Speaker 3: read young techie oriented. Elon Musk could have US citizenship 277 00:14:14,880 --> 00:14:18,600 Speaker 3: provoked if he lied on immigration forms. Now they're trying 278 00:14:18,600 --> 00:14:21,440 Speaker 3: to cook up that Elon, as a young immigrant to 279 00:14:21,520 --> 00:14:26,480 Speaker 3: the US, worked about it, going after an African American. 280 00:14:26,960 --> 00:14:31,160 Speaker 3: That's right, targeting an African American that he lied about it, 281 00:14:31,200 --> 00:14:36,160 Speaker 3: and therefore his citizenship should be revoked. As that same 282 00:14:36,280 --> 00:14:40,040 Speaker 3: side of the aisle, let's send millions of strangers, including 283 00:14:40,480 --> 00:14:45,320 Speaker 3: thousands of Venezuelan gang bangers. You want to kick Elon 284 00:14:45,520 --> 00:14:51,000 Speaker 3: Musk out of the country, and so you you're the 285 00:14:51,040 --> 00:14:54,440 Speaker 3: party of open borders, calling the other side fascist, You're 286 00:14:54,480 --> 00:14:55,680 Speaker 3: gonna kick out the world. 287 00:14:55,680 --> 00:14:58,520 Speaker 2: They're just man because you don't like his politics. Right. 288 00:14:59,240 --> 00:15:01,440 Speaker 2: The leader in elect cars and space travel. 289 00:15:01,640 --> 00:15:05,440 Speaker 3: Okay, speaking of electric cars from the Wall Street Journal 290 00:15:05,520 --> 00:15:08,880 Speaker 3: Ford motor to pause. We'll see if it's paused or 291 00:15:08,960 --> 00:15:14,640 Speaker 3: shut down F one fifty lightning production until mid January. 292 00:15:14,680 --> 00:15:17,520 Speaker 3: At least I wouldn't be surprised if it just never 293 00:15:17,640 --> 00:15:21,280 Speaker 3: comes back. Ford in August said it was scrapping plans 294 00:15:21,280 --> 00:15:24,760 Speaker 3: for an electric three rows sport utility vehicle, citing pressure 295 00:15:25,240 --> 00:15:28,920 Speaker 3: on battery powered cars as in and nobody wants them. 296 00:15:29,160 --> 00:15:32,120 Speaker 3: Automakers have poured billions of dollars into developing and churning 297 00:15:32,160 --> 00:15:34,960 Speaker 3: out more electric vehicles, even as their new models continue 298 00:15:34,960 --> 00:15:38,520 Speaker 3: to generate steep losses. Ford, which is one of the 299 00:15:38,680 --> 00:15:42,800 Speaker 3: very few legacy automakers to separately report results from its 300 00:15:42,840 --> 00:15:44,040 Speaker 3: electric vehicle business. 301 00:15:44,480 --> 00:15:49,040 Speaker 2: The other ones don't, so GM and versum if they don't. 302 00:15:48,800 --> 00:15:52,640 Speaker 3: Separate them out, so it's not as obvious to everybody 303 00:15:52,680 --> 00:15:55,440 Speaker 3: that this is bleeding is dry. The only way we're 304 00:15:55,440 --> 00:15:58,280 Speaker 3: making any money is on our you know, our big 305 00:15:58,360 --> 00:16:02,160 Speaker 3: gas powered diesel powered guv's. That's where our money's being made. 306 00:16:02,480 --> 00:16:05,000 Speaker 3: So not even separate out, separated out, but Ford does, 307 00:16:07,200 --> 00:16:11,280 Speaker 3: and they have been uh as it says here, battery 308 00:16:11,280 --> 00:16:15,320 Speaker 3: powered models have been piling up on dealer lots all 309 00:16:15,320 --> 00:16:18,240 Speaker 3: across the country. So it just they're just not a demand. 310 00:16:18,440 --> 00:16:22,240 Speaker 1: It's just not practical, and it's not clear at all 311 00:16:22,320 --> 00:16:28,080 Speaker 1: that it's environmentally beneficial in its totality. And again I 312 00:16:28,120 --> 00:16:32,040 Speaker 1: am completely agnostic on that question. If I became convinced that, yeah, 313 00:16:32,080 --> 00:16:35,080 Speaker 1: electric vehicles are clearly better for the planet, I'm all in, 314 00:16:35,760 --> 00:16:38,920 Speaker 1: you know, given their limitations and all for whatever situation 315 00:16:38,960 --> 00:16:39,680 Speaker 1: where they're appropriate. 316 00:16:39,760 --> 00:16:40,400 Speaker 2: But I'm all in. 317 00:16:40,600 --> 00:16:44,200 Speaker 1: I have no interest in defeating electric vehicles out of 318 00:16:44,240 --> 00:16:48,040 Speaker 1: some animus toward them in general. But they haven't made 319 00:16:48,080 --> 00:16:50,360 Speaker 1: the factual case, right. 320 00:16:51,440 --> 00:16:53,320 Speaker 2: Yeah, So it's it's rough on all ends. 321 00:16:55,320 --> 00:17:00,920 Speaker 3: People for whatever reason culturally don't want them, and we 322 00:17:01,000 --> 00:17:04,119 Speaker 3: don't know how we generate the electricity of which gets 323 00:17:04,119 --> 00:17:06,159 Speaker 3: to your not even sure to be better for the planet. 324 00:17:06,200 --> 00:17:10,320 Speaker 1: Anyway, coming up, PayPal knows your pants size and it's 325 00:17:10,359 --> 00:17:11,720 Speaker 1: telling everyone. 326 00:17:11,800 --> 00:17:14,840 Speaker 3: And Nate Silver says they're fudging the polling to try 327 00:17:14,880 --> 00:17:16,040 Speaker 3: to keep this race close. 328 00:17:17,160 --> 00:17:18,280 Speaker 2: Armstrong and Getty. 329 00:17:20,040 --> 00:17:25,600 Speaker 3: First of all, Joe Getty is a I had the 330 00:17:25,680 --> 00:17:30,280 Speaker 3: right word, Oh, analytical genius. Ah, that's a first. As 331 00:17:30,359 --> 00:17:34,760 Speaker 3: I just heard Charles Payne on Fox say exactly what 332 00:17:34,800 --> 00:17:38,240 Speaker 3: you said earlier, right after the information came out. So 333 00:17:38,280 --> 00:17:43,120 Speaker 3: the big economic news of the day is the jobs 334 00:17:43,240 --> 00:17:47,439 Speaker 3: report came out, and while they were expecting one hundred 335 00:17:47,480 --> 00:17:51,080 Speaker 3: and thirteen thousand jobs to be created, it ended up 336 00:17:51,119 --> 00:17:55,040 Speaker 3: being less than that. In that it was about twelve thousand, 337 00:17:56,400 --> 00:18:01,240 Speaker 3: thirteen thousand, expected twelve thousand. Actually, but I don't remember 338 00:18:01,760 --> 00:18:05,280 Speaker 3: ever hearing expectations being missed by that much on any 339 00:18:05,280 --> 00:18:05,840 Speaker 3: big number. 340 00:18:06,640 --> 00:18:09,280 Speaker 1: It's like you're at at a job interview and you 341 00:18:09,280 --> 00:18:10,720 Speaker 1: say I'm going to need at least one hundred and 342 00:18:10,760 --> 00:18:12,960 Speaker 1: fifty thousand dollars a year, and they say, you know, 343 00:18:13,000 --> 00:18:14,520 Speaker 1: we're thinking nine dollars an hour. 344 00:18:15,440 --> 00:18:17,000 Speaker 2: Like when I get on the scale and expect to 345 00:18:17,040 --> 00:18:17,960 Speaker 2: be one seventy. 346 00:18:17,680 --> 00:18:23,800 Speaker 3: Five, I have allow that's missing expectations. I have an 347 00:18:23,800 --> 00:18:25,959 Speaker 3: old timey scale because I like accurate. 348 00:18:26,040 --> 00:18:26,600 Speaker 2: It's funny. 349 00:18:26,720 --> 00:18:29,400 Speaker 3: I was in a nice hotel room not long ago. 350 00:18:30,320 --> 00:18:32,800 Speaker 3: It had your spring scale on it. Those things are worthless. 351 00:18:32,800 --> 00:18:34,480 Speaker 3: I don't even know why they sell them. But I 352 00:18:34,520 --> 00:18:36,639 Speaker 3: got on it had me at one sixty eight, so 353 00:18:36,680 --> 00:18:39,720 Speaker 3: it wasn't even like within twenty pounds of what I. 354 00:18:39,600 --> 00:18:41,600 Speaker 2: I just stolen that scale and brought it home. 355 00:18:42,520 --> 00:18:44,320 Speaker 3: Anyway, I've got like a scale like you have it 356 00:18:44,600 --> 00:18:47,680 Speaker 3: used to have at the doctor's office, with the heavy 357 00:18:47,680 --> 00:18:49,480 Speaker 3: thing you moved to the right or the left or whatever, 358 00:18:49,480 --> 00:18:51,679 Speaker 3: and you can regularly calibrate it to make sure it's accurate. 359 00:18:51,720 --> 00:18:54,280 Speaker 2: AnyWho, I had a point. 360 00:18:54,359 --> 00:18:56,879 Speaker 3: Oh, it'd be like if I said it won seventy 361 00:18:56,920 --> 00:18:58,560 Speaker 3: five and clank, you know, it. 362 00:18:58,720 --> 00:19:01,560 Speaker 2: Slammed up to the top. You eight four hundred pounds. 363 00:19:01,600 --> 00:19:06,760 Speaker 3: The expectations were off, so and all the reporting is 364 00:19:07,920 --> 00:19:11,560 Speaker 3: because of the jobs came in so much below expectations, 365 00:19:11,800 --> 00:19:16,159 Speaker 3: because of the hurricane and the big labor strike. And 366 00:19:16,280 --> 00:19:18,960 Speaker 3: Charles Pain and Fox just said exactly the same thing 367 00:19:19,080 --> 00:19:23,080 Speaker 3: Joe said, and he said that this is dumb. You 368 00:19:23,160 --> 00:19:26,359 Speaker 3: think the people that make these projections never heard about 369 00:19:26,359 --> 00:19:28,080 Speaker 3: the hurricane or the labor. 370 00:19:27,800 --> 00:19:32,520 Speaker 2: Strike, Right, that doesn't make any sense. Nice trial. 371 00:19:32,640 --> 00:19:35,119 Speaker 3: That's the weakest explanation ever. This is what they do 372 00:19:35,240 --> 00:19:39,320 Speaker 3: for a living. They take in all the different factors 373 00:19:39,840 --> 00:19:42,640 Speaker 3: that could possibly contribute to what a number is going 374 00:19:42,680 --> 00:19:47,200 Speaker 3: to be and factor them in to their prediction, including 375 00:19:47,359 --> 00:19:50,400 Speaker 3: things like biggest hurricanes in the last fifty. 376 00:19:50,200 --> 00:19:55,679 Speaker 1: Years, for instance, and famous strikes everybody's talking about. 377 00:19:55,640 --> 00:19:58,360 Speaker 2: Right, yeah, what a load of crap. 378 00:19:59,359 --> 00:20:01,520 Speaker 3: Now, I still don't know if it helps Trump or 379 00:20:01,600 --> 00:20:04,359 Speaker 3: hurts Harris or makes any difference to anybody. That particular 380 00:20:04,400 --> 00:20:07,719 Speaker 3: thing doesn't really matter. So yesterday's twenty four hour flap 381 00:20:07,760 --> 00:20:10,040 Speaker 3: and I don't know, maybe it'll last longer. Mark Cuban, 382 00:20:10,480 --> 00:20:16,160 Speaker 3: the billionaire who's came out and endorsed Kamala earlier this week, 383 00:20:16,240 --> 00:20:20,719 Speaker 3: was on the View and was talking about women and 384 00:20:20,760 --> 00:20:22,280 Speaker 3: Trump and that sort of thing. 385 00:20:22,920 --> 00:20:26,880 Speaker 5: Donald Trump, you never see him around strong intelligent women ever, 386 00:20:28,040 --> 00:20:31,159 Speaker 5: It's just that simple. They're intimidating to him. He doesn't 387 00:20:31,520 --> 00:20:34,600 Speaker 5: like to be challenged by them. And you know, Nikki 388 00:20:34,640 --> 00:20:38,359 Speaker 5: Hally will call him on his nonsense with reproductive rights 389 00:20:38,400 --> 00:20:41,280 Speaker 5: and how he sees and treats and talks about women. 390 00:20:41,600 --> 00:20:44,200 Speaker 5: I mean, he just can't have her around. It wouldn't work. 391 00:20:44,960 --> 00:20:47,040 Speaker 2: Boy. There was a lot of crap there. 392 00:20:47,320 --> 00:20:49,959 Speaker 3: Yeah, and so a whole bunch of strong women that 393 00:20:50,160 --> 00:20:53,000 Speaker 3: either vote for Trump like Trump or when Trump's orbit 394 00:20:53,160 --> 00:20:54,280 Speaker 3: came out, here's some of them. 395 00:20:54,320 --> 00:20:55,919 Speaker 2: I don't know. If you recognize their voices will tell 396 00:20:55,920 --> 00:20:56,560 Speaker 2: you who they were later. 397 00:20:56,880 --> 00:20:58,919 Speaker 3: If you are a school teacher, if you are a 398 00:20:59,040 --> 00:21:01,960 Speaker 3: US militaryman, and you're a woman and a Trump supporter, 399 00:21:02,320 --> 00:21:04,960 Speaker 3: then to Mark Cuban, you are stupid and weak. 400 00:21:05,600 --> 00:21:08,840 Speaker 2: It's a disgrace. And Kamala Harris stays silent. 401 00:21:09,280 --> 00:21:13,920 Speaker 3: Cuban's words are mean, sad and mistogynistic. 402 00:21:14,800 --> 00:21:17,320 Speaker 5: Just a hunch, but I've been on an election day, 403 00:21:17,760 --> 00:21:20,360 Speaker 5: strong smart women will remember. 404 00:21:20,640 --> 00:21:23,760 Speaker 1: And I'm proud to join the millions of smart, intelligent 405 00:21:23,800 --> 00:21:26,480 Speaker 1: women who will stand with Donald Trump this Tuesday. 406 00:21:26,840 --> 00:21:29,479 Speaker 3: So Sarah Huckabye Sanders there at the end. Governor of 407 00:21:29,800 --> 00:21:33,760 Speaker 3: arkansaw Riley Gaines, was in there. Trump's campaign manager, who 408 00:21:33,800 --> 00:21:36,640 Speaker 3: is a woman who has said nothing this entire campaign. 409 00:21:36,720 --> 00:21:40,320 Speaker 3: Interesting oftentimes in presidential campaigns, the campaign manager is like 410 00:21:40,480 --> 00:21:43,960 Speaker 3: the head surgate on all the talk shows. But Trump's 411 00:21:44,080 --> 00:21:49,600 Speaker 3: woman has said nothing to anybody till yesterday. And she said, uh, hello, Annie, 412 00:21:49,600 --> 00:21:52,000 Speaker 3: who is this mattered anybody? Is this a real flap? 413 00:21:52,080 --> 00:21:56,000 Speaker 3: I don't know. Cuban says, I'll stick up for I'm 414 00:21:56,040 --> 00:21:57,720 Speaker 3: not sticking up for him. I'll just pass along what 415 00:21:57,760 --> 00:21:58,120 Speaker 3: he said. 416 00:21:59,040 --> 00:22:01,919 Speaker 1: Well, I'm not a strong, smart woman, so I hesitate 417 00:22:02,040 --> 00:22:04,359 Speaker 1: to say how significant. 418 00:22:03,760 --> 00:22:06,480 Speaker 2: It it is or isn't. Cuban said, I don't feel 419 00:22:06,520 --> 00:22:08,720 Speaker 2: the insult. Cuban said, when. 420 00:22:08,600 --> 00:22:10,879 Speaker 3: I said this during the interview, I didn't get it 421 00:22:10,880 --> 00:22:12,560 Speaker 3: out exactly the way I thought it did. So I 422 00:22:12,560 --> 00:22:15,520 Speaker 3: apologize to anyone who felt slighted or upset by my response. 423 00:22:16,040 --> 00:22:18,679 Speaker 3: As I said, it wasn't about Trump voter supporters or employees, 424 00:22:18,760 --> 00:22:19,639 Speaker 3: current or former. 425 00:22:19,960 --> 00:22:21,000 Speaker 2: Well, what is it about? 426 00:22:21,280 --> 00:22:23,680 Speaker 3: And I set myself up for the six second sound bite. 427 00:22:23,720 --> 00:22:25,880 Speaker 3: No excuses, can't nail every any of you. My skin 428 00:22:25,960 --> 00:22:26,639 Speaker 3: is thick enough. 429 00:22:27,760 --> 00:22:27,960 Speaker 2: You know. 430 00:22:28,040 --> 00:22:33,480 Speaker 1: I appreciate that fairly manful statement. Here's here's the problem. 431 00:22:33,560 --> 00:22:36,320 Speaker 1: And it has nothing to do with Mark Cuban specifically. 432 00:22:36,400 --> 00:22:38,280 Speaker 1: I guess, well, I guess it does. I don't know, probably, 433 00:22:39,119 --> 00:22:47,440 Speaker 1: And that is yet another condescening, condescending, judgment based argument 434 00:22:47,640 --> 00:22:49,520 Speaker 1: for why you should vote one way or the other. 435 00:22:50,920 --> 00:22:55,760 Speaker 1: He offered me nothing, just like Joe Biden saying the 436 00:22:55,800 --> 00:22:59,040 Speaker 1: only garbage I say is fascist Jim Crow to a point, 437 00:22:59,080 --> 00:23:04,400 Speaker 1: Oh blah blah blahla. It's all condescension and judgment. We're 438 00:23:04,400 --> 00:23:07,480 Speaker 1: going to condescend our way to victory. We're going to 439 00:23:07,720 --> 00:23:11,240 Speaker 1: shame black men into voting for Kamala Harris. We're gonna 440 00:23:11,240 --> 00:23:14,160 Speaker 1: shame white women into voting for Kamala Harris. We're gonna 441 00:23:14,160 --> 00:23:17,720 Speaker 1: shame all sorts of people into all. Right, we've had enough, 442 00:23:18,000 --> 00:23:19,880 Speaker 1: We've had enough of the judgment. 443 00:23:20,000 --> 00:23:22,639 Speaker 3: Does anybody vote for a particular candidate ever because somebody 444 00:23:22,680 --> 00:23:24,320 Speaker 3: told you you're a bad person if you do. 445 00:23:25,640 --> 00:23:26,520 Speaker 2: Maybe, I don't know. 446 00:23:27,000 --> 00:23:30,399 Speaker 1: Your week if you most of the strategy, are you 447 00:23:30,440 --> 00:23:32,679 Speaker 1: a Nazi or are you going to vote for Kamala Harris? 448 00:23:34,280 --> 00:23:34,680 Speaker 2: Yeah? 449 00:23:34,800 --> 00:23:39,760 Speaker 3: Okay, Now we know from text and emails that none 450 00:23:39,800 --> 00:23:42,000 Speaker 3: of you want to hear a word about any particular poll. 451 00:23:42,080 --> 00:23:46,960 Speaker 3: But overall, the art of polling continues to be interesting. 452 00:23:47,040 --> 00:23:52,479 Speaker 3: Here's Nate Silver, who was ABC's go to polster for 453 00:23:52,600 --> 00:23:55,439 Speaker 3: quite a few years running five thirty eight organization he 454 00:23:55,480 --> 00:23:58,800 Speaker 3: started and then he left. That has his own thing 455 00:23:58,840 --> 00:24:01,880 Speaker 3: now and he's pretty outspoken about the world of polling 456 00:24:01,920 --> 00:24:03,840 Speaker 3: and he's considered one of the best at it. 457 00:24:03,880 --> 00:24:05,840 Speaker 2: Anyway, he was on a podcast. Here's what he had 458 00:24:05,880 --> 00:24:08,080 Speaker 2: to say. I kind of trust polsters less this they 459 00:24:08,080 --> 00:24:11,199 Speaker 2: all every time a polster, Oh, every state is is 460 00:24:11,359 --> 00:24:12,240 Speaker 2: just a plus. 461 00:24:11,920 --> 00:24:13,760 Speaker 3: One every single state. 462 00:24:13,760 --> 00:24:16,840 Speaker 2: It's a tie. No, you're hurting, you're cheating. You're cheating. 463 00:24:16,960 --> 00:24:17,880 Speaker 3: Your numbers aren't. 464 00:24:17,680 --> 00:24:19,800 Speaker 2: All gonna come out at exactly one point leads. 465 00:24:19,920 --> 00:24:22,320 Speaker 3: When you're samp like eight hundred people over dozens of surveys, 466 00:24:22,480 --> 00:24:24,680 Speaker 3: you are lying, You're putting a finger on the scale. 467 00:24:24,800 --> 00:24:26,800 Speaker 3: I will not name names, but some pultures are really 468 00:24:26,840 --> 00:24:30,960 Speaker 3: bad about this. So poling guro Nate Silver lashed out 469 00:24:31,000 --> 00:24:33,600 Speaker 3: at other survey junkies in his field for cheating in 470 00:24:33,640 --> 00:24:37,440 Speaker 3: the final stretch, accusing them of recycling results to keep 471 00:24:37,480 --> 00:24:41,520 Speaker 3: the race between Trump and Kamala Harris close for their audience. Now, 472 00:24:41,560 --> 00:24:43,600 Speaker 3: that's either because you think a close race is more 473 00:24:43,600 --> 00:24:46,959 Speaker 3: exciting and you get more eyeballs, or because Trump's winning 474 00:24:47,080 --> 00:24:49,240 Speaker 3: and that's not good for a lot of your viewers 475 00:24:49,280 --> 00:24:53,000 Speaker 3: who that turns them off. The five thirty eight founder 476 00:24:53,160 --> 00:24:57,000 Speaker 3: said irresponsible polsters were hurting their numbers or using past 477 00:24:57,080 --> 00:24:58,520 Speaker 3: results to affect current ones. 478 00:24:58,560 --> 00:25:00,320 Speaker 2: We talked about this a little earlier in the show 479 00:25:00,000 --> 00:25:02,800 Speaker 2: show herding their numbers like you had heard cattle. 480 00:25:04,640 --> 00:25:07,320 Speaker 3: Yeah, I can re explain that because I heard Chris 481 00:25:07,320 --> 00:25:10,280 Speaker 3: stirewaldt use that term and talking about this yesterday. I 482 00:25:10,280 --> 00:25:13,440 Speaker 3: didn't know this, but I guess in polling, it's really 483 00:25:13,480 --> 00:25:15,399 Speaker 3: expensive to do good polling. And if you have a 484 00:25:15,440 --> 00:25:17,600 Speaker 3: poll in the field and you're starting to get results 485 00:25:17,640 --> 00:25:20,560 Speaker 3: back and they're way out of line with what other 486 00:25:20,640 --> 00:25:23,560 Speaker 3: polling is, sometimes you think, oh, we've got our methodology wrong. 487 00:25:23,600 --> 00:25:26,040 Speaker 3: We've got to obviously we've got something wrong here. Let's 488 00:25:26,040 --> 00:25:29,439 Speaker 3: not waste more money on this. Let's fix our algorithm 489 00:25:29,440 --> 00:25:32,080 Speaker 3: and then put the pull back out there well by definition, 490 00:25:32,200 --> 00:25:36,560 Speaker 3: either on purpose or just because of what I just described, 491 00:25:36,920 --> 00:25:41,159 Speaker 3: you could have poles missing movement, trying to get in 492 00:25:41,240 --> 00:25:42,800 Speaker 3: line with past polls. 493 00:25:43,600 --> 00:25:48,080 Speaker 1: All right, so you don't publish an embarrassing quote unquote outlier. 494 00:25:48,320 --> 00:25:50,359 Speaker 2: Yeah, so it could work both ways. 495 00:25:50,400 --> 00:25:53,840 Speaker 3: You could either have like Herd mentality where you're not 496 00:25:53,880 --> 00:25:56,840 Speaker 3: on purpose following, but you are. Or you could push 497 00:25:56,880 --> 00:26:01,720 Speaker 3: polls that direction because you want to result that's more 498 00:26:01,720 --> 00:26:04,280 Speaker 3: in line with the other polls, or because you want 499 00:26:04,320 --> 00:26:06,480 Speaker 3: it to be a little closer for one candidate because 500 00:26:06,520 --> 00:26:07,600 Speaker 3: that's better for your network. 501 00:26:07,640 --> 00:26:09,480 Speaker 2: There's lots of reasons you right, right. 502 00:26:11,520 --> 00:26:14,560 Speaker 1: I hope I'm not stealing anybody's thunder, but I had 503 00:26:14,560 --> 00:26:16,240 Speaker 1: a light bulb go off in my head. And for 504 00:26:16,320 --> 00:26:18,760 Speaker 1: what it's worth, I've known people in the polling industry, 505 00:26:18,800 --> 00:26:21,000 Speaker 1: and a lot of you are suspicious of them. It's 506 00:26:21,000 --> 00:26:23,280 Speaker 1: not that they're biased, it's that they're wrong. I mean, 507 00:26:23,320 --> 00:26:29,280 Speaker 1: with the Trump thing, the classically accepted definition of somebody 508 00:26:29,320 --> 00:26:33,920 Speaker 1: who probably won't show up at the polls, Millions of 509 00:26:33,960 --> 00:26:37,159 Speaker 1: those people showed up and surprised everybody. That's why Trump 510 00:26:37,200 --> 00:26:39,440 Speaker 1: overperforms so much. But anyway, having said that, These people 511 00:26:39,480 --> 00:26:42,120 Speaker 1: are desperate to be right. They make their living being right. 512 00:26:42,640 --> 00:26:44,600 Speaker 1: But it just occurred to me mathematically, and Jack, you 513 00:26:44,640 --> 00:26:48,600 Speaker 1: know more about this than me. But it's practically impossible 514 00:26:48,720 --> 00:26:50,760 Speaker 1: if you have a margin of error of plus or 515 00:26:50,840 --> 00:26:54,479 Speaker 1: minus three percent, that over and over again the results 516 00:26:54,520 --> 00:26:55,879 Speaker 1: would be within one percent. 517 00:26:56,000 --> 00:26:59,200 Speaker 3: That's exactly what he's saying. Okay, it's exactly what he's saying. 518 00:26:59,240 --> 00:27:03,560 Speaker 3: He says, wouldn't it be a randomized yes spread yes, 519 00:27:03,640 --> 00:27:07,120 Speaker 3: sometimes three, many times three low and everywhere it would 520 00:27:07,160 --> 00:27:08,200 Speaker 3: be and everywhere in between. 521 00:27:08,240 --> 00:27:11,080 Speaker 2: That's what the margin of air means. So yeah, he said, 522 00:27:11,520 --> 00:27:12,000 Speaker 2: they are all. 523 00:27:12,080 --> 00:27:14,200 Speaker 3: Every time a poster says, oh, every state is still 524 00:27:14,200 --> 00:27:17,080 Speaker 3: plus one or whatever, the state's a tie, he said. 525 00:27:16,880 --> 00:27:19,000 Speaker 2: No, you're effing hurting. You're cheating. You're cheating. 526 00:27:19,160 --> 00:27:21,680 Speaker 3: Your numbers aren't going to all come out exactly one 527 00:27:21,680 --> 00:27:24,679 Speaker 3: point leads when you're sampling eight hundred people over dozens 528 00:27:24,720 --> 00:27:29,240 Speaker 3: of surveys with a plus three minus uh wow. 529 00:27:29,000 --> 00:27:30,120 Speaker 2: Margin of air. You're lying. 530 00:27:30,160 --> 00:27:32,920 Speaker 3: You're putting your effing finger on the scales. 531 00:27:33,240 --> 00:27:38,480 Speaker 2: Now, whether that is for partisan reasons or or just you. 532 00:27:38,400 --> 00:27:41,520 Speaker 1: Don't want to, as I said, publish the quote unquote 533 00:27:41,520 --> 00:27:43,240 Speaker 1: embarrassing outlier poll. 534 00:27:43,880 --> 00:27:48,560 Speaker 3: Wow and interesting, And in most situations you really don't 535 00:27:48,600 --> 00:27:51,600 Speaker 3: want to have the outlier poll that's in favoring Trump. 536 00:27:51,880 --> 00:27:53,040 Speaker 2: You really don't want that. 537 00:27:53,720 --> 00:27:56,760 Speaker 3: Silver's own models put Trump ahead of Harris fifty five 538 00:27:56,800 --> 00:28:00,800 Speaker 3: to forty five in terms of likelihood of winning. 539 00:28:00,840 --> 00:28:03,200 Speaker 2: He's just doing a overall odds of winning. 540 00:28:03,240 --> 00:28:06,520 Speaker 3: He has Trump fifty five Heri's forty five, which, of course. 541 00:28:06,359 --> 00:28:06,640 Speaker 5: You know. 542 00:28:11,280 --> 00:28:12,639 Speaker 2: That's a good lead for Trump. 543 00:28:12,680 --> 00:28:14,800 Speaker 3: But obviously if you got a forty five percent chance 544 00:28:14,800 --> 00:28:17,240 Speaker 3: of something happening, it could happen quite easily. 545 00:28:17,240 --> 00:28:18,160 Speaker 2: Oh yeah, oh yeah. 546 00:28:18,200 --> 00:28:19,920 Speaker 1: If I had a forty five percent chance of winning 547 00:28:19,920 --> 00:28:21,440 Speaker 1: the lottery, I'd be very excited. 548 00:28:21,480 --> 00:28:23,960 Speaker 2: Indeed. Okay, well, that's great. 549 00:28:23,960 --> 00:28:27,200 Speaker 1: I appreciate mister Silver's honesty there and is calling out 550 00:28:27,200 --> 00:28:29,399 Speaker 1: the other posters. We need more of that in America. 551 00:28:29,520 --> 00:28:31,600 Speaker 1: Less running with the herd and more speaking your mind. 552 00:28:32,160 --> 00:28:34,040 Speaker 1: I can't wait to speak my mind on a couple 553 00:28:34,080 --> 00:28:40,080 Speaker 1: of crime related sociological media scandals in a moment right 554 00:28:40,120 --> 00:28:42,080 Speaker 1: after a quick word from our friends that simply Save 555 00:28:42,120 --> 00:28:46,120 Speaker 1: home security right now you can get sixty percent off 556 00:28:46,160 --> 00:28:48,760 Speaker 1: a new Simply Save Security system, their best deal of 557 00:28:48,800 --> 00:28:51,160 Speaker 1: the year, And I tell you what I say this 558 00:28:51,360 --> 00:28:52,520 Speaker 1: quite sincerely. 559 00:28:53,680 --> 00:28:54,280 Speaker 2: I am so. 560 00:28:54,360 --> 00:28:57,280 Speaker 1: Continually impressed by simply Safe in the way they keep developing, 561 00:28:57,320 --> 00:29:01,240 Speaker 1: like the new active guard outdoor protection that prevents crimes 562 00:29:01,280 --> 00:29:03,280 Speaker 1: before they even happen using AI. 563 00:29:03,480 --> 00:29:04,920 Speaker 2: I'm blown away by that. It's amazing. 564 00:29:05,000 --> 00:29:07,920 Speaker 3: So you can get your sixty percent off by visiting 565 00:29:07,960 --> 00:29:12,200 Speaker 3: simplysafe dot com slash armstrong. Again, we're talking twenty four 566 00:29:12,240 --> 00:29:16,320 Speaker 3: to seven protection, professional monitoring that starts around a dollar 567 00:29:16,360 --> 00:29:19,480 Speaker 3: a day. You can't afford it, no contracts. And again 568 00:29:19,560 --> 00:29:23,120 Speaker 3: this active guard outdoor protection. If someone's lurking around or acting. 569 00:29:22,920 --> 00:29:26,760 Speaker 1: Suspiciously, suspiciously, the agents see them in real time, talk 570 00:29:26,800 --> 00:29:29,640 Speaker 1: to them directly, set off your spotlights, even call the 571 00:29:29,680 --> 00:29:32,200 Speaker 1: cops before they've had a chance. 572 00:29:31,960 --> 00:29:32,800 Speaker 2: To break in. 573 00:29:33,400 --> 00:29:36,280 Speaker 1: No long term contraction, no cancelation fee around a dollar days. 574 00:29:36,320 --> 00:29:39,320 Speaker 1: Jack said, for all this protection, sixty percent off, just 575 00:29:39,360 --> 00:29:42,120 Speaker 1: go to simplysafe dot com slash armstrong. That's simply safe 576 00:29:42,160 --> 00:29:46,080 Speaker 1: dot com slash armstrong. There's no safe like simply Safe. 577 00:29:47,920 --> 00:29:50,600 Speaker 1: It's Friday, and I don't feel like being angry. It's 578 00:29:50,640 --> 00:29:54,040 Speaker 1: just it's not the vibe. Been a long week. I've 579 00:29:54,320 --> 00:29:56,360 Speaker 1: actually made the plea to be put in a medically 580 00:29:56,360 --> 00:29:59,120 Speaker 1: induced coma until after the election, just to save my sanity. 581 00:29:59,280 --> 00:30:04,560 Speaker 3: I had candy for dinner last night because it was Halloween. Oh, 582 00:30:04,640 --> 00:30:07,600 Speaker 3: I would feel so miserable. I did that, I did, 583 00:30:08,280 --> 00:30:12,680 Speaker 3: I did. I went two big peanut butter cups. Then 584 00:30:12,720 --> 00:30:14,720 Speaker 3: I had a full Snickers bar that was my healthy 585 00:30:14,720 --> 00:30:17,000 Speaker 3: food because I had peanuts in it. Then I had 586 00:30:17,040 --> 00:30:20,480 Speaker 3: just a classic Hershey's chocolate bar to top her off. 587 00:30:20,960 --> 00:30:23,240 Speaker 2: Yes, Katie, I just want to let you know. 588 00:30:23,320 --> 00:30:26,040 Speaker 6: A listener Joe heard you say that earlier and came 589 00:30:26,080 --> 00:30:27,800 Speaker 6: at me on Twitter and said you better light them 590 00:30:27,880 --> 00:30:29,960 Speaker 6: up for only candy for dinner, but God forbid a 591 00:30:29,960 --> 00:30:30,680 Speaker 6: bag of chips? 592 00:30:30,800 --> 00:30:36,800 Speaker 2: Jack, right right, right right? Yeah? Are you anti? Is that? 593 00:30:37,240 --> 00:30:37,440 Speaker 3: Oh? 594 00:30:37,600 --> 00:30:42,440 Speaker 2: The ultra processed foods? Yeah? I don't. Okay, all right. 595 00:30:42,920 --> 00:30:46,960 Speaker 1: Uh, you just have to learn to live with the enigma, 596 00:30:47,040 --> 00:30:47,720 Speaker 1: that is, Jack. 597 00:30:48,960 --> 00:30:50,960 Speaker 3: What we all need to learn to live with, most 598 00:30:51,000 --> 00:30:52,720 Speaker 3: of us, some of you are super disciplined, is if 599 00:30:52,720 --> 00:30:55,320 Speaker 3: it's around, you're so much more likely to eat it 600 00:30:55,360 --> 00:30:58,200 Speaker 3: than if it's not. What if I have eaten peanut 601 00:30:58,240 --> 00:31:00,240 Speaker 3: butter cups if they weren't in my home, of course, 602 00:31:00,440 --> 00:31:01,880 Speaker 3: was I gonna get in my car and drive to 603 00:31:01,920 --> 00:31:03,560 Speaker 3: the store and purchase being a butter cups. 604 00:31:03,720 --> 00:31:05,600 Speaker 2: No, So, do you have a bunch of candy bars 605 00:31:05,680 --> 00:31:08,520 Speaker 2: left over? Yes? Uh oh oh boy, and they're the 606 00:31:08,600 --> 00:31:10,120 Speaker 2: king size. Yeah. 607 00:31:10,160 --> 00:31:12,640 Speaker 3: Some homeless guy's about to get a pillowcase full of candy. 608 00:31:12,760 --> 00:31:13,680 Speaker 3: That's what's gonna happen. 609 00:31:14,560 --> 00:31:16,800 Speaker 2: Wow, Well, good for him. I guess here you go, 610 00:31:16,920 --> 00:31:21,640 Speaker 2: Meppy Joe, enjoy your day. So ah, he says, desperately, 611 00:31:21,640 --> 00:31:22,320 Speaker 2: trying to move on. 612 00:31:26,240 --> 00:31:32,200 Speaker 1: Sociologically, never mind politically. One more reason we've got to 613 00:31:32,360 --> 00:31:38,680 Speaker 1: deny the progressives the seats of power. Muslim illegal immigrant 614 00:31:39,360 --> 00:31:44,880 Speaker 1: shoots down a Jew for being a Jew, and nobody 615 00:31:44,920 --> 00:31:47,480 Speaker 1: in the media wants to talk about it at all. 616 00:31:47,600 --> 00:31:50,120 Speaker 2: And the mayor won't reference it either. There in Chicago. 617 00:31:50,480 --> 00:31:52,760 Speaker 2: More on that. If you haven't heard it, it's quite amazing. 618 00:31:52,760 --> 00:31:53,320 Speaker 2: Stay tuned. 619 00:31:56,840 --> 00:32:00,160 Speaker 3: What does your plan we're looking for? Ex doctors, you 620 00:32:00,200 --> 00:32:03,240 Speaker 3: still have the drugs around? Yeah, to put us into 621 00:32:03,320 --> 00:32:05,959 Speaker 3: medically induced comas until after the election. 622 00:32:06,520 --> 00:32:07,080 Speaker 2: That's correct. 623 00:32:07,200 --> 00:32:10,440 Speaker 1: You were a bad doctor, lasked in your school, your 624 00:32:10,480 --> 00:32:12,840 Speaker 1: class at medical school. You lost your license, but you 625 00:32:12,920 --> 00:32:15,400 Speaker 1: got some of the drugs around. Yeah, I'd appreciate it. 626 00:32:15,440 --> 00:32:17,120 Speaker 1: Just put me out for like the next four days 627 00:32:17,200 --> 00:32:19,280 Speaker 1: or so. 628 00:32:19,280 --> 00:32:20,560 Speaker 2: So it's funny. 629 00:32:21,040 --> 00:32:24,360 Speaker 1: I feel so motive, motivating to talk about this, and 630 00:32:24,440 --> 00:32:27,160 Speaker 1: yet I'm just I'm not in the right frame of mind. 631 00:32:27,200 --> 00:32:31,120 Speaker 1: But there are a couple of notable stories, one in 632 00:32:31,200 --> 00:32:35,400 Speaker 1: Chicago and one in the UK of all places, that 633 00:32:35,520 --> 00:32:41,080 Speaker 1: both involve Muslim illegal immigrant. In the case of the 634 00:32:41,800 --> 00:32:45,760 Speaker 1: Chicago shooting of a Jewish man merely for being Jewish. 635 00:32:45,440 --> 00:32:47,560 Speaker 3: I didn't realize they had nailed down the immigration status 636 00:32:47,600 --> 00:32:50,320 Speaker 3: because they kept the name quiet, they kept the religion quiet. 637 00:32:50,360 --> 00:32:52,360 Speaker 3: And then there were people saying, how come we haven't 638 00:32:52,400 --> 00:32:53,960 Speaker 3: heard anything about the immigration. 639 00:32:53,640 --> 00:32:55,080 Speaker 2: Status, So now it's a. 640 00:32:56,640 --> 00:32:59,880 Speaker 3: He's a Muslim with a Muslim sounding name and illegal 641 00:33:00,320 --> 00:33:01,800 Speaker 3: kept all those things quiet. 642 00:33:02,160 --> 00:33:05,200 Speaker 1: Who is twenty two year old Mauritanian muslimman who is 643 00:33:05,240 --> 00:33:08,560 Speaker 1: detained then released at the San Diego sector, that's correct, Who. 644 00:33:08,440 --> 00:33:11,360 Speaker 3: Was yelling Allah akbar in a shootout with police after 645 00:33:11,400 --> 00:33:14,160 Speaker 3: shooting a Jewish fellow. 646 00:33:14,840 --> 00:33:18,040 Speaker 1: Yeah, which was a detail that some people are denying 647 00:33:18,160 --> 00:33:22,720 Speaker 1: or trying to keep out of the story the discussion. 648 00:33:23,880 --> 00:33:30,520 Speaker 1: And that's that's the commonality between this abhorrent, religion based 649 00:33:30,760 --> 00:33:35,680 Speaker 1: hate crime in Chicago and the stabbings of the little 650 00:33:35,680 --> 00:33:43,840 Speaker 1: girls in England, specifically Southport. The guy who did that, 651 00:33:44,040 --> 00:33:47,600 Speaker 1: who the authorities in the press denied over and over again, 652 00:33:47,760 --> 00:33:52,160 Speaker 1: was any sort of jihadi or Muslim or it's finally 653 00:33:52,200 --> 00:33:56,840 Speaker 1: come out that he had Risen and al Qaeda training materials. 654 00:33:57,520 --> 00:34:02,720 Speaker 2: Wow, and only. 655 00:34:02,480 --> 00:34:06,360 Speaker 1: A moron would say wow. Therefore, every Muslim is a 656 00:34:06,480 --> 00:34:09,440 Speaker 1: murderer and wants to stab little girls, and virtually nobody 657 00:34:09,480 --> 00:34:13,520 Speaker 1: on earth leaps to that idiotic conclusion. This is more example, 658 00:34:14,080 --> 00:34:17,080 Speaker 1: if we need it, of the utter condescension of the 659 00:34:17,160 --> 00:34:21,000 Speaker 1: left toward anybody who isn't them. They think we're all 660 00:34:21,120 --> 00:34:26,279 Speaker 1: cavemen running around grunting brutishly and can't think. But the 661 00:34:26,680 --> 00:34:34,279 Speaker 1: absolute dishonesty of any time a white woman looks askance 662 00:34:34,320 --> 00:34:36,359 Speaker 1: at a black man. We've all got to talk about 663 00:34:36,400 --> 00:34:40,280 Speaker 1: it for two weeks. And racism toward black people is abhorrent. 664 00:34:40,400 --> 00:34:44,360 Speaker 1: For the record, it's abhorrent and ugly. But the slightest 665 00:34:44,440 --> 00:34:47,080 Speaker 1: hint of it. The President makes a statement from the 666 00:34:47,120 --> 00:34:50,919 Speaker 1: Oval Office, the slightest hint yet, Jews get gunned down 667 00:34:50,960 --> 00:34:53,600 Speaker 1: by Muslims and we're all told to go about our business. 668 00:34:53,600 --> 00:34:54,719 Speaker 2: There's nothing to see here. 669 00:34:54,880 --> 00:34:57,359 Speaker 1: I don't want those people in power anymore, whether they're 670 00:34:57,360 --> 00:34:58,840 Speaker 1: in the media or the government. I don't know what 671 00:34:58,880 --> 00:35:01,400 Speaker 1: about them to do about the the eye chais first Amendment, 672 00:35:01,400 --> 00:35:03,279 Speaker 1: But by god, I'll fight him till I'm dead. 673 00:35:05,480 --> 00:35:06,839 Speaker 2: That is something. I mean. 674 00:35:06,920 --> 00:35:10,839 Speaker 3: You talk about a double standard, and imagine Remember how 675 00:35:10,840 --> 00:35:14,160 Speaker 3: this story would have been covered twenty years ago, twenty 676 00:35:14,200 --> 00:35:16,040 Speaker 3: three years ago, shortly after nine to eleven? 677 00:35:16,600 --> 00:35:20,880 Speaker 2: Yeah appropriately, appropriately? Yes? Yeah? Yeah? 678 00:35:20,880 --> 00:35:23,440 Speaker 1: How about the people killed by the And thank god 679 00:35:23,480 --> 00:35:26,200 Speaker 1: the Jewish man in Chicago survived barely, although his life 680 00:35:26,200 --> 00:35:28,799 Speaker 1: will be changed forever, he will feel terrible and motional on. 681 00:35:28,800 --> 00:35:33,600 Speaker 2: Physical pain until his dying day. It's worth remembering. 682 00:35:35,760 --> 00:35:38,960 Speaker 1: But if our country is going to survive and thrive, 683 00:35:39,200 --> 00:35:44,640 Speaker 1: the one thing we must have is the truth. We 684 00:35:44,719 --> 00:35:50,160 Speaker 1: can't have the power brokers of information utterly dedicated to 685 00:35:50,320 --> 00:35:53,400 Speaker 1: distorting and hiding the truth all the time. 686 00:35:54,000 --> 00:35:54,879 Speaker 2: I won't have it. 687 00:35:55,200 --> 00:35:57,120 Speaker 1: I don't know what to do about it again except 688 00:35:57,160 --> 00:36:01,000 Speaker 1: to fight it. But it's utterly unacceptable. 689 00:36:01,040 --> 00:36:04,239 Speaker 3: According to NBC, Chicago police said during a meeting with 690 00:36:04,280 --> 00:36:07,120 Speaker 3: the group Monday that the guy did shout ala akbar 691 00:36:07,200 --> 00:36:09,640 Speaker 3: while firing at officers. I mean, if that's the case, 692 00:36:10,080 --> 00:36:13,040 Speaker 3: it's as clear cut as can be well we had 693 00:36:13,080 --> 00:36:13,320 Speaker 3: going on. 694 00:36:13,400 --> 00:36:16,480 Speaker 1: Ever, if you ever miss any chunk of the Armstrong 695 00:36:16,520 --> 00:36:18,680 Speaker 1: and Getty Show, you can get it via podcast Armstrong 696 00:36:18,719 --> 00:36:20,640 Speaker 1: and Getty on demand, better to subscribe. 697 00:36:20,680 --> 00:36:23,440 Speaker 2: Thank you for being here very much, Armstrong and Getty