1 00:00:01,920 --> 00:00:06,240 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,280 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe, Getty. 3 00:00:10,280 --> 00:00:18,200 Speaker 2: Arm Strong and Getty Enough Hee Armstrong and Getty. 4 00:00:24,239 --> 00:00:27,240 Speaker 3: Yeah, we finally made it Election Day. Yeah, but it's 5 00:00:27,240 --> 00:00:29,560 Speaker 3: that super chill time when the whole country it takes 6 00:00:29,640 --> 00:00:32,280 Speaker 3: on the vibe of two am waffle House parking lot. 7 00:00:34,680 --> 00:00:36,320 Speaker 3: Of course, there's a good chance we won't know the 8 00:00:36,360 --> 00:00:39,040 Speaker 3: final results, which is kind of frustrating. It's like sitting 9 00:00:39,040 --> 00:00:40,920 Speaker 3: through a twenty four hour gender reveal party in the 10 00:00:40,960 --> 00:00:42,880 Speaker 3: couple's like, you guys, guys, come back on Friday. 11 00:00:42,920 --> 00:00:46,440 Speaker 2: We're just gonna do pat. Yeah. 12 00:00:46,600 --> 00:00:51,360 Speaker 4: I remember it was the day over before the election 13 00:00:51,479 --> 00:00:52,360 Speaker 4: in two thousand. 14 00:00:52,560 --> 00:00:57,240 Speaker 2: Joe and I were still doing this same show twenty 15 00:00:57,240 --> 00:01:03,240 Speaker 2: four years dead end gig. Anyway, it was. 16 00:01:03,600 --> 00:01:05,160 Speaker 4: It was looking like it was going to be close, 17 00:01:05,200 --> 00:01:08,560 Speaker 4: and I remember us saying, wouldn't it be crazy if 18 00:01:08,600 --> 00:01:11,280 Speaker 4: we didn't know who even won today? We had to 19 00:01:11,360 --> 00:01:14,000 Speaker 4: wait till tomorrow. I mean that because that hadn't happened 20 00:01:14,000 --> 00:01:17,480 Speaker 4: in our lifetimes. As always, you find out that night 21 00:01:17,520 --> 00:01:19,679 Speaker 4: it's solid, everybody believes it, and you go on with 22 00:01:19,760 --> 00:01:22,360 Speaker 4: your life. And then it ended up being mean ment, 23 00:01:22,400 --> 00:01:24,720 Speaker 4: and now we kind of are in a place where 24 00:01:25,520 --> 00:01:30,399 Speaker 4: you hardly expect to find out who won, uh looking 25 00:01:30,440 --> 00:01:33,520 Speaker 4: at Ian Bremmer just tweeted this out. When Americans elections 26 00:01:33,520 --> 00:01:38,080 Speaker 4: have been called since nineteen eighty four, so going all 27 00:01:38,120 --> 00:01:41,720 Speaker 4: the way back to then within an hour of the 28 00:01:41,760 --> 00:01:46,720 Speaker 4: polls closing every election eighty four, eighty eight, ninety two, 29 00:01:46,800 --> 00:01:48,840 Speaker 4: ninety six, which is why we had the attitude we 30 00:01:48,920 --> 00:01:51,600 Speaker 4: had going into two thousand. Then you had a thirty 31 00:01:51,640 --> 00:01:55,240 Speaker 4: six day in two thousand. In two thousand and four, 32 00:01:55,320 --> 00:02:00,760 Speaker 4: it took till the next morning and eight it took 33 00:02:00,760 --> 00:02:04,000 Speaker 4: a couple hours twenty twelve, couple hours twenty sixteen, few hours, 34 00:02:04,240 --> 00:02:06,200 Speaker 4: twenty twenty long time. 35 00:02:06,360 --> 00:02:10,680 Speaker 2: As we all know how it's going to go tonight, 36 00:02:10,720 --> 00:02:11,240 Speaker 2: I do not know. 37 00:02:11,280 --> 00:02:13,280 Speaker 4: Here are two things I'm going to be watching just 38 00:02:13,320 --> 00:02:17,600 Speaker 4: because the pundits that I listen to, And I'm going 39 00:02:17,639 --> 00:02:19,720 Speaker 4: to give West Coast times because I don't like the 40 00:02:19,800 --> 00:02:22,480 Speaker 4: belligerent East Coast always giving East Coast times as if 41 00:02:22,520 --> 00:02:23,960 Speaker 4: I'm supposed to do the math when I live in 42 00:02:23,960 --> 00:02:24,800 Speaker 4: California all the time. 43 00:02:24,840 --> 00:02:26,200 Speaker 2: So these are West Coast times. 44 00:02:27,000 --> 00:02:31,160 Speaker 4: North Carolina and Georgia close at four and four thirty, 45 00:02:32,200 --> 00:02:34,639 Speaker 4: and they will know results fairly quickly. 46 00:02:34,760 --> 00:02:35,840 Speaker 2: If Kamala Harris. 47 00:02:35,919 --> 00:02:37,880 Speaker 4: According to Mark Calprin and a couple other punnets, if 48 00:02:38,040 --> 00:02:41,160 Speaker 4: if Kamala Harris wins one or both of those, she's 49 00:02:41,200 --> 00:02:44,760 Speaker 4: almost certainly going to win. If she wins North Carolina Georgia, 50 00:02:44,800 --> 00:02:47,800 Speaker 4: and that'll be middle of the afternoon for those of 51 00:02:47,840 --> 00:02:49,320 Speaker 4: us on the on the west side of the. 52 00:02:49,280 --> 00:02:51,720 Speaker 2: Country, early enough for everybody. 53 00:02:51,800 --> 00:02:53,679 Speaker 4: Yeah, if she wins one or both of those, she's 54 00:02:53,760 --> 00:02:54,799 Speaker 4: probably going to win. 55 00:02:55,560 --> 00:02:57,640 Speaker 2: Most likely Trump wins them, and then we're still, you know, 56 00:02:58,000 --> 00:02:58,520 Speaker 2: up in the air. 57 00:02:58,560 --> 00:03:01,000 Speaker 4: But that to me, then I'll just turn off the 58 00:03:01,040 --> 00:03:02,880 Speaker 4: TV and I'll do something else, and I'll listen to music, 59 00:03:02,880 --> 00:03:04,440 Speaker 4: and I'll wake up in the morning and I'll walk 60 00:03:04,480 --> 00:03:07,480 Speaker 4: out to the UH driveway and get the morning paper 61 00:03:07,480 --> 00:03:09,520 Speaker 4: and see who won, because I'm not going to follow 62 00:03:09,560 --> 00:03:10,120 Speaker 4: all that crap. 63 00:03:10,160 --> 00:03:12,400 Speaker 2: If it's Kamala winning, you know, I won't get no million. 64 00:03:12,400 --> 00:03:14,400 Speaker 5: I'm going to I'm gonna put on my Captain America 65 00:03:14,400 --> 00:03:16,799 Speaker 5: outfit and put on my lace up, my riot and 66 00:03:16,919 --> 00:03:20,160 Speaker 5: shoes and get ready to smash stuff up because that's 67 00:03:20,160 --> 00:03:22,520 Speaker 5: what the media keeps telling me. I'm going to do, 68 00:03:22,840 --> 00:03:23,959 Speaker 5: right yeah, no kidding. 69 00:03:24,120 --> 00:03:27,320 Speaker 4: Here's a little infotainment for you on what we can 70 00:03:27,320 --> 00:03:27,959 Speaker 4: look for tonight. 71 00:03:28,360 --> 00:03:30,639 Speaker 6: Here's what to expect as being wait for the results. 72 00:03:30,960 --> 00:03:34,000 Speaker 6: Forty three states can begin processing absentee and mail in 73 00:03:34,080 --> 00:03:37,880 Speaker 6: ballots before election day. This typically involves verify the voter's 74 00:03:37,920 --> 00:03:41,240 Speaker 6: information and eligibility and then opening the envelopes who it 75 00:03:41,280 --> 00:03:44,760 Speaker 6: can be tabulated by a voting machine. Washington, DC, and 76 00:03:44,800 --> 00:03:48,280 Speaker 6: seven states including Pennsylvania and Wisconsin don't begin these steps 77 00:03:48,320 --> 00:03:50,120 Speaker 6: until today, so just keep that in mind. 78 00:03:50,400 --> 00:03:53,160 Speaker 4: Yeah, that slows things down the states that don't start 79 00:03:53,200 --> 00:03:53,680 Speaker 4: till today. 80 00:03:53,720 --> 00:03:55,800 Speaker 2: More on that now, ask. 81 00:03:55,720 --> 00:03:58,520 Speaker 6: For the count Fourteen states and DC do not allow 82 00:03:58,600 --> 00:04:01,920 Speaker 6: counting until the polls close. Oo Twenty three states allow 83 00:04:02,040 --> 00:04:05,520 Speaker 6: counting to begin before the polls close. However, different states 84 00:04:05,560 --> 00:04:08,840 Speaker 6: have different laws. In North Carolina, for instance, in person 85 00:04:08,880 --> 00:04:11,880 Speaker 6: early votes can't be counted before the polls close, but 86 00:04:12,440 --> 00:04:16,240 Speaker 6: mail absentee ballots received before election day can be tabulated. 87 00:04:16,600 --> 00:04:19,720 Speaker 6: In Georgia, election officials can begin working on early in 88 00:04:19,760 --> 00:04:22,560 Speaker 6: person votes when the polls open, but they can't tabulate 89 00:04:22,600 --> 00:04:24,119 Speaker 6: them until the polls close. 90 00:04:24,200 --> 00:04:24,440 Speaker 7: And then. 91 00:04:24,520 --> 00:04:28,000 Speaker 6: Finally, twelve states allow both processing and counting to begin 92 00:04:28,080 --> 00:04:31,800 Speaker 6: before election day. This is the case in Nevada and Arizona. 93 00:04:31,880 --> 00:04:36,240 Speaker 6: Officials from Aricopa County, Arizona's most populous county, expect to 94 00:04:36,279 --> 00:04:39,080 Speaker 6: report fifty five percent of the total vote and seventy 95 00:04:39,120 --> 00:04:41,880 Speaker 6: to seventy five percent of early ballots by the time 96 00:04:41,920 --> 00:04:42,479 Speaker 6: poles close. 97 00:04:43,360 --> 00:04:48,200 Speaker 5: All right, the entire audience's eyes glazed over eight seconds 98 00:04:48,200 --> 00:04:50,280 Speaker 5: into that and realized, I'm never going to comprehend, much 99 00:04:50,360 --> 00:04:53,280 Speaker 5: less memorise all of your problaration. I will tell you 100 00:04:53,279 --> 00:04:54,320 Speaker 5: this two interesting things. 101 00:04:54,400 --> 00:04:57,279 Speaker 2: Number One, to something like two thirds of the population 102 00:04:57,360 --> 00:05:00,720 Speaker 2: of Arizona is in Maricopa County. It's like everybody practically 103 00:05:01,240 --> 00:05:05,600 Speaker 2: in the county that includes Phoenix. Secondly, this list of 104 00:05:05,640 --> 00:05:06,480 Speaker 2: the states. 105 00:05:06,160 --> 00:05:11,960 Speaker 5: That matter, the states that it all hinges upon Pennsylvania. 106 00:05:12,279 --> 00:05:14,800 Speaker 4: Excellent point. I would say to any journalists out there, 107 00:05:14,880 --> 00:05:18,159 Speaker 4: any talk about polls closing or anything like that in 108 00:05:18,240 --> 00:05:22,280 Speaker 4: anything other than the seven swing states is worthless information. 109 00:05:22,320 --> 00:05:24,479 Speaker 2: Forty three states do this, in seventeen states do that. 110 00:05:24,560 --> 00:05:27,200 Speaker 5: On the other hand, half of those seventeen and triple 111 00:05:27,240 --> 00:05:28,960 Speaker 5: the number of the other thirty four who this that 112 00:05:29,960 --> 00:05:30,560 Speaker 5: nobody can. 113 00:05:30,480 --> 00:05:33,160 Speaker 2: Come only matters in six to seven states. 114 00:05:33,720 --> 00:05:39,440 Speaker 5: So, for example, Pennsylvania last time around, when it was 115 00:05:39,560 --> 00:05:44,800 Speaker 5: quite close. Biden declared victory after the AP called Pennsylvania 116 00:05:44,839 --> 00:05:46,039 Speaker 5: three and a half days later. 117 00:05:47,640 --> 00:05:48,880 Speaker 2: And it's likely. 118 00:05:50,200 --> 00:05:54,920 Speaker 5: Because of Pennsylvania's various vote counting procedures that it'll take 119 00:05:54,960 --> 00:05:57,799 Speaker 5: a while to know. Well, Godor Shapiro says, they've cleaned 120 00:05:57,800 --> 00:06:00,000 Speaker 5: that up a lot, they get I hope that's true. 121 00:06:00,000 --> 00:06:05,520 Speaker 5: They got a lot more employees, they've got a better method. Yeah, Arizona. 122 00:06:05,839 --> 00:06:08,160 Speaker 5: And it's funny because so many of the swing states 123 00:06:08,240 --> 00:06:10,400 Speaker 5: have various wrinkles in their voting laws that tend to 124 00:06:10,400 --> 00:06:14,080 Speaker 5: make it a longer process to figure out who won. 125 00:06:15,640 --> 00:06:18,800 Speaker 5: Arizona permits election officials to begin processing mail in ballots 126 00:06:18,800 --> 00:06:21,560 Speaker 5: after early voting begins, but crucially requires officials to wait 127 00:06:21,600 --> 00:06:25,080 Speaker 5: until after the polls closed to count them. During the 128 00:06:25,080 --> 00:06:27,160 Speaker 5: twenty two mid terms, some twenty percent of mail in 129 00:06:27,240 --> 00:06:30,640 Speaker 5: votes were dropped off on election day, requiring time consuming 130 00:06:30,720 --> 00:06:35,160 Speaker 5: verification procedures to ensure the ballots were legit Well, one 131 00:06:35,200 --> 00:06:36,559 Speaker 5: of the. 132 00:06:36,040 --> 00:06:38,800 Speaker 4: Problems with comparing anything to twenty twenty is we're in 133 00:06:38,800 --> 00:06:41,159 Speaker 4: the midst of the worst pandemic in a century, and 134 00:06:41,240 --> 00:06:42,440 Speaker 4: things were very weird. 135 00:06:43,160 --> 00:06:46,839 Speaker 5: Yeah, that was twenty two for the record, but yes, 136 00:06:46,920 --> 00:06:52,159 Speaker 5: that is absolutely valid, they mentioned, and again some of 137 00:06:52,160 --> 00:06:54,799 Speaker 5: the states have cleaned up their acts. But just for instance, 138 00:06:54,839 --> 00:06:56,960 Speaker 5: it took three and a half days to Can't to 139 00:06:57,080 --> 00:07:01,920 Speaker 5: call Pennsylvania, it took six sixteen days to call Georgia, 140 00:07:02,600 --> 00:07:06,200 Speaker 5: it took ten days to call North Carolina, and it 141 00:07:06,320 --> 00:07:09,400 Speaker 5: took eight days to call Alaska. 142 00:07:09,440 --> 00:07:10,600 Speaker 2: Nobody cares about Alaska. 143 00:07:10,600 --> 00:07:14,200 Speaker 5: Now Alaskan's care about I care about Alaska, But electorally speaking, 144 00:07:15,400 --> 00:07:16,400 Speaker 5: let's talk about Moose. 145 00:07:16,640 --> 00:07:19,200 Speaker 4: Just more interesting, just for all the punditry I take in. 146 00:07:19,400 --> 00:07:21,400 Speaker 4: I think we're gonna get a result tonight, especially if 147 00:07:21,440 --> 00:07:24,000 Speaker 4: you're a West coast since it's you know, it might 148 00:07:24,040 --> 00:07:25,760 Speaker 4: be one or two in the morning if you're on 149 00:07:25,800 --> 00:07:27,160 Speaker 4: the East coast. But I think we're gonna get a 150 00:07:27,160 --> 00:07:30,560 Speaker 4: result tonight, either like a solid result or a we 151 00:07:30,640 --> 00:07:32,440 Speaker 4: know how it's gonna turn out. They can't call it 152 00:07:32,520 --> 00:07:35,800 Speaker 4: because statistically you could catch up, but very unlikely. 153 00:07:35,960 --> 00:07:37,840 Speaker 2: I think we'll know. I just I think that's the 154 00:07:37,840 --> 00:07:40,080 Speaker 2: way it's gonna break. I hope you're right. I think 155 00:07:40,080 --> 00:07:42,080 Speaker 2: that would be much better for the country, no doubt 156 00:07:42,080 --> 00:07:44,520 Speaker 2: about that. And then just wanted to speak to and 157 00:07:44,560 --> 00:07:45,040 Speaker 2: this is. 158 00:07:47,080 --> 00:07:49,520 Speaker 4: One value out of hearing that long list of how 159 00:07:49,560 --> 00:07:51,720 Speaker 4: everybody does it, including states that we know how they're 160 00:07:51,720 --> 00:07:55,200 Speaker 4: gonna vote. There's an argument always from a certain crowd 161 00:07:55,200 --> 00:07:57,840 Speaker 4: of why don't we make this more uniform. Well, the 162 00:07:57,880 --> 00:08:00,320 Speaker 4: fact that it's so not uniform is one of the 163 00:08:00,400 --> 00:08:03,960 Speaker 4: reasons it's so difficult to rig an election in this country. 164 00:08:04,120 --> 00:08:06,760 Speaker 4: Every precinct, every county, every state has such a different 165 00:08:06,800 --> 00:08:07,960 Speaker 4: way of doing things. 166 00:08:08,240 --> 00:08:11,840 Speaker 2: It would be really, really hard to rig a national election. 167 00:08:13,040 --> 00:08:15,840 Speaker 2: Which is good and you're absolutely right. 168 00:08:16,360 --> 00:08:20,720 Speaker 5: We are listing some of the horrific policies of Kamala 169 00:08:20,760 --> 00:08:24,280 Speaker 5: and the left last hour, including packing the Supreme Court, 170 00:08:24,560 --> 00:08:27,040 Speaker 5: ending the filibuster, throwing the borders open. 171 00:08:27,080 --> 00:08:28,160 Speaker 2: I mean, the list goes on and on. 172 00:08:28,720 --> 00:08:34,240 Speaker 5: We left out, We left out the fact that they 173 00:08:34,240 --> 00:08:39,320 Speaker 5: want to nationalize all election procedures and controls, which is 174 00:08:39,400 --> 00:08:43,240 Speaker 5: a horrible idea. And boy, the party that's in favor 175 00:08:43,280 --> 00:08:46,719 Speaker 5: of ballot harvesting and spreading ballots willy nilly across the 176 00:08:46,800 --> 00:08:49,880 Speaker 5: land and voting for six months and all, they also 177 00:08:49,960 --> 00:08:52,080 Speaker 5: want to control the process from DC. 178 00:08:52,840 --> 00:08:54,480 Speaker 2: That's so interesting. 179 00:08:55,360 --> 00:09:00,640 Speaker 4: There's a slim possibility that Kamala Harris win the. 180 00:09:02,280 --> 00:09:04,559 Speaker 2: Electoral College and loses the popular vote. 181 00:09:04,679 --> 00:09:07,640 Speaker 4: Very slim, but it could happen, which would be fun 182 00:09:07,720 --> 00:09:10,200 Speaker 4: because everybody would flip their scripts on whether or not 183 00:09:10,280 --> 00:09:13,400 Speaker 4: they support the electoral college versus the popular vote. 184 00:09:13,520 --> 00:09:14,800 Speaker 2: That would be hilarious to watch. 185 00:09:17,679 --> 00:09:20,520 Speaker 5: And again, I'm sorry, Michael, Michael, give me fifty two again. 186 00:09:21,040 --> 00:09:25,240 Speaker 5: Enjoy today the election day, especially for this reason. 187 00:09:25,600 --> 00:09:31,160 Speaker 8: If we don't show up tomorrow, it is entirely possible. No, 188 00:09:31,200 --> 00:09:34,080 Speaker 8: it's not that we will not have the opportunity to 189 00:09:34,200 --> 00:09:35,720 Speaker 8: ever cast a ballot. 190 00:09:35,840 --> 00:09:40,560 Speaker 2: Again, that's dumb. Okay. God is the last American election. 191 00:09:40,800 --> 00:09:44,120 Speaker 2: According to Oprah Winfrey, it Republicans prevails. 192 00:09:44,240 --> 00:09:47,240 Speaker 4: So I respect her more if she's pandering than if 193 00:09:47,280 --> 00:09:48,400 Speaker 4: she actually believes that. 194 00:09:49,679 --> 00:09:50,439 Speaker 2: God. 195 00:09:51,000 --> 00:09:53,679 Speaker 5: I just saw ABC's Yeah, I'd rather deal with a 196 00:09:53,720 --> 00:09:54,920 Speaker 5: liar than a lunatic. 197 00:09:55,040 --> 00:09:55,360 Speaker 2: Yeah. 198 00:09:55,480 --> 00:09:59,520 Speaker 4: ABC's headline was after the shortest election in US history 199 00:10:01,280 --> 00:10:05,000 Speaker 4: or campaigns, which is technically true, But did it feel 200 00:10:05,040 --> 00:10:05,920 Speaker 4: that way to anybody? 201 00:10:06,240 --> 00:10:06,400 Speaker 8: Now? 202 00:10:08,400 --> 00:10:10,440 Speaker 2: Boy? Let me up, I've had enough. 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That endorsement, if any matter, is 240 00:11:46,640 --> 00:11:49,680 Speaker 4: miles more important than whether or not the Washington Post 241 00:11:49,760 --> 00:11:54,080 Speaker 4: is endorsed Kamala Harris. Oh yeah, yeah, monumentally more important 242 00:11:54,080 --> 00:11:57,240 Speaker 4: in terms of undecided working class people out there who 243 00:11:57,280 --> 00:12:00,520 Speaker 4: listen to Joe Rogan. Absolute freaking lutely, that's more important. 244 00:12:00,600 --> 00:12:03,959 Speaker 4: Didn't get near the attention as whether the Washington Post 245 00:12:04,040 --> 00:12:06,640 Speaker 4: endorsed or not, or when j Lo comes out and 246 00:12:06,640 --> 00:12:07,960 Speaker 4: makes an endorsement. 247 00:12:07,760 --> 00:12:09,600 Speaker 2: Are you crazy, Joe? Honesty? 248 00:12:09,640 --> 00:12:12,640 Speaker 5: Taylor Swift's endorsement was more important than the Washington Post. 249 00:12:12,640 --> 00:12:15,640 Speaker 5: Oh absolutely, absolutely, that got enormous attention. 250 00:12:15,720 --> 00:12:18,160 Speaker 2: It's funny the contrast between the attention paid to the 251 00:12:18,160 --> 00:12:20,920 Speaker 2: two endorsements, isn't it? It's odd? This is something going 252 00:12:20,960 --> 00:12:21,360 Speaker 2: on here. 253 00:12:21,559 --> 00:12:24,199 Speaker 4: We got an interesting question for our old friend lanhie 254 00:12:24,280 --> 00:12:26,520 Speaker 4: Chin coming up a little later this hour. Give us 255 00:12:26,800 --> 00:12:29,800 Speaker 4: a handful of reasons why each candidate could win, or 256 00:12:29,800 --> 00:12:32,000 Speaker 4: if they won, why they won, which I think will 257 00:12:32,000 --> 00:12:34,520 Speaker 4: be interesting from a super smart guy, among other things. 258 00:12:34,559 --> 00:12:40,960 Speaker 1: On the way, art, heyety, I I don't feel any 259 00:12:41,000 --> 00:12:42,880 Speaker 1: different from when I was sixteen. 260 00:12:43,280 --> 00:12:44,120 Speaker 2: I still think. 261 00:12:43,920 --> 00:12:45,920 Speaker 1: About boys, and I still hate my hair. 262 00:12:46,400 --> 00:12:48,440 Speaker 2: You know that has not changed. 263 00:12:49,040 --> 00:12:52,160 Speaker 1: You know what the big difference is. Tell us I 264 00:12:52,200 --> 00:12:56,680 Speaker 1: can say no, and younger people are so access to please. 265 00:12:57,080 --> 00:12:59,240 Speaker 1: Oh yes, I can do that. Oh sure I want that. 266 00:12:59,440 --> 00:13:01,960 Speaker 1: Oh yes, that's a good idea. I've learned to say 267 00:13:03,120 --> 00:13:06,439 Speaker 1: I'm sorry. That doesn't really work for me. I've never 268 00:13:06,480 --> 00:13:07,600 Speaker 1: been able to say that. 269 00:13:08,040 --> 00:13:08,319 Speaker 2: Ever. 270 00:13:08,760 --> 00:13:10,960 Speaker 4: That's an eighty five year old explaining what it's like 271 00:13:11,000 --> 00:13:13,200 Speaker 4: to be eighty five versus when she was younger. She 272 00:13:13,280 --> 00:13:16,240 Speaker 4: still thinks about boys, hates her hair, but now can 273 00:13:16,280 --> 00:13:17,120 Speaker 4: say no to things. 274 00:13:17,320 --> 00:13:23,640 Speaker 2: Hmm, excellent. Here's the personal growth coming up? Coming up? 275 00:13:23,720 --> 00:13:26,160 Speaker 5: Could California elect Donald Trump? 276 00:13:26,960 --> 00:13:28,120 Speaker 2: What? I know? 277 00:13:28,200 --> 00:13:30,760 Speaker 5: It's an odd question. It's a bit of a trick question. 278 00:13:30,920 --> 00:13:34,480 Speaker 5: And speaking of could this or that, could a monkey, 279 00:13:35,440 --> 00:13:40,160 Speaker 5: given infinite time rite Shakespeare's complete works before the universe 280 00:13:40,200 --> 00:13:46,480 Speaker 5: dives dies? Okay, so that's a long running conundrum. You know, 281 00:13:46,559 --> 00:13:49,440 Speaker 5: the whole infinite number of monkeys on an infinite number 282 00:13:49,440 --> 00:13:52,839 Speaker 5: of typewriters, given an infinite time, would eventually produce the 283 00:13:52,880 --> 00:13:54,080 Speaker 5: complete works of Shakespeare. 284 00:13:54,160 --> 00:13:56,480 Speaker 2: I don't think I've ever bought that. So this is 285 00:13:56,520 --> 00:13:59,360 Speaker 2: answering the question. Well, yeah, although. 286 00:13:59,080 --> 00:14:02,840 Speaker 5: This one went with it's a variation of that, the 287 00:14:02,960 --> 00:14:08,600 Speaker 5: infinite monkey theorem that given infinite time, could a monkey 288 00:14:08,720 --> 00:14:10,479 Speaker 5: produce the works of Shakespeare? 289 00:14:10,520 --> 00:14:12,880 Speaker 4: I suppose technically, if you've got infinite time, you can't 290 00:14:12,880 --> 00:14:14,000 Speaker 4: say no to anything. 291 00:14:15,080 --> 00:14:20,640 Speaker 5: Well, right, but that's if that is like a groovy 292 00:14:20,720 --> 00:14:25,160 Speaker 5: and funny way to explain what infinity is to somebody. Okay, great, 293 00:14:25,440 --> 00:14:28,280 Speaker 5: but no, no, damn monkeys are going to produce the 294 00:14:28,320 --> 00:14:32,120 Speaker 5: works of Shay. Can you imagine? And the first time 295 00:14:32,440 --> 00:14:34,800 Speaker 5: I heard that, I said, I'm not buying that. No, 296 00:14:35,080 --> 00:14:35,680 Speaker 5: not happening. 297 00:14:36,280 --> 00:14:37,000 Speaker 2: Can you imagine? 298 00:14:37,000 --> 00:14:39,120 Speaker 5: You get like to the I don't remember the last 299 00:14:39,120 --> 00:14:40,280 Speaker 5: thing Shakespeare wrote, but you. 300 00:14:40,240 --> 00:14:41,880 Speaker 2: Get to the end and like on the last page, 301 00:14:41,880 --> 00:14:42,560 Speaker 2: there's a typo. 302 00:14:42,920 --> 00:14:46,400 Speaker 4: Oh yeah, that's the great Simpsons joke where mister Burns 303 00:14:46,440 --> 00:14:49,920 Speaker 4: walks in a room full of monkeys at typewriters and 304 00:14:49,960 --> 00:14:51,400 Speaker 4: he pulls a piece of paper out at one of 305 00:14:51,400 --> 00:14:54,040 Speaker 4: the monkeys typewriters and he reads it was the best 306 00:14:54,040 --> 00:14:54,440 Speaker 4: of times. 307 00:14:54,440 --> 00:14:56,000 Speaker 2: It was the blurst of times. 308 00:14:56,880 --> 00:15:04,600 Speaker 5: He's angry because a monkey's had a typo right, hilarious. 309 00:15:04,640 --> 00:15:06,560 Speaker 2: So they were able to type literature. They just made 310 00:15:06,560 --> 00:15:10,400 Speaker 2: a mistake on one word, and he was angry. Also 311 00:15:10,440 --> 00:15:11,040 Speaker 2: read three search. 312 00:15:11,880 --> 00:15:14,680 Speaker 4: I just was looking at this schedule. Both candidates have 313 00:15:15,160 --> 00:15:20,640 Speaker 4: huge schedules today, radio interviews, rallies, appearances, So they must think, 314 00:15:21,240 --> 00:15:24,040 Speaker 4: you know, I supposed to make sense if half the 315 00:15:24,120 --> 00:15:27,960 Speaker 4: votes have already been cast, half the votes haven't, but 316 00:15:28,680 --> 00:15:30,880 Speaker 4: boy she got half. 317 00:15:31,400 --> 00:15:34,800 Speaker 2: Then the tiny amount that could be persuaded by one 318 00:15:34,960 --> 00:15:38,200 Speaker 2: more radio interview or rally, which has got to be 319 00:15:38,640 --> 00:15:40,080 Speaker 2: a tiny number. 320 00:15:41,440 --> 00:15:44,280 Speaker 5: Yeah, oh yeah, absolutely. I just think everybody's thinking about 321 00:15:44,320 --> 00:15:46,840 Speaker 5: twenty twenty. We're a vanishingly small number of votes decide 322 00:15:46,840 --> 00:15:50,080 Speaker 5: the election. But I happened to know a person who 323 00:15:50,200 --> 00:15:54,960 Speaker 5: was absolutely determined to vote. Uh, but they are perhaps 324 00:15:54,960 --> 00:15:59,360 Speaker 5: attending a graduate school that's somewhat distant from their home 325 00:15:59,400 --> 00:16:02,640 Speaker 5: address and was gonna have to track and then decided 326 00:16:02,680 --> 00:16:05,800 Speaker 5: not to, then decided to again, or maybe you got to. 327 00:16:06,160 --> 00:16:08,800 Speaker 5: You're a truck driver and your route gets all screwed 328 00:16:08,880 --> 00:16:11,760 Speaker 5: up and you're gonna get home late anyway, and you're thinking, 329 00:16:11,840 --> 00:16:13,720 Speaker 5: I don't know, I'm just one vote. 330 00:16:13,880 --> 00:16:15,160 Speaker 2: They're just trying to get. 331 00:16:14,960 --> 00:16:19,960 Speaker 5: That last tiny squeeze, that last drop of turnout. 332 00:16:20,160 --> 00:16:22,520 Speaker 4: Sure, got a sick kid at home today. You know, 333 00:16:22,640 --> 00:16:24,520 Speaker 4: you can be planning to do something, the kids sick, 334 00:16:24,520 --> 00:16:26,280 Speaker 4: and you think, yeah, I just got too much going on. 335 00:16:27,040 --> 00:16:29,480 Speaker 2: It can happen unless there's just that one little tweak. 336 00:16:29,600 --> 00:16:30,040 Speaker 2: Do you want to hear? 337 00:16:30,080 --> 00:16:33,520 Speaker 5: The California thing is long we're talking about this could 338 00:16:33,560 --> 00:16:37,920 Speaker 5: California elect Donald Trump? It's from the Wall Street Journal 339 00:16:38,000 --> 00:16:44,600 Speaker 5: editorial board. There has been so much outflow of people 340 00:16:44,960 --> 00:16:50,080 Speaker 5: from California, New York and Illinois that it might swing 341 00:16:50,160 --> 00:16:53,800 Speaker 5: the election for Donald Trump. What it's plausible that the 342 00:16:53,840 --> 00:16:56,320 Speaker 5: population flight from those states to some of this year's 343 00:16:56,320 --> 00:17:00,320 Speaker 5: electoral battlegrounds could help Trump win a second term. And 344 00:17:00,560 --> 00:17:04,200 Speaker 5: they mention it's not only that a lot of conservative 345 00:17:04,200 --> 00:17:07,600 Speaker 5: to moderate people have left the Blue states but population 346 00:17:07,680 --> 00:17:10,480 Speaker 5: shifts in the twenty tens reduced the Democrats advantage in 347 00:17:10,520 --> 00:17:15,159 Speaker 5: the electoral college. California, Illinois, Michigan, New York, Ohio, Pennsylvania, 348 00:17:15,160 --> 00:17:19,040 Speaker 5: and West Virginia each lost a vote in the electoral 349 00:17:19,040 --> 00:17:21,920 Speaker 5: college because they lost a rep in the House of Representatives. 350 00:17:22,080 --> 00:17:25,960 Speaker 5: Texas picked up two. Colorado, Florida, Montana, North Carolina, and 351 00:17:26,000 --> 00:17:29,160 Speaker 5: Oregon each added one. And they go through a bunch 352 00:17:29,240 --> 00:17:34,040 Speaker 5: of scenarios where Kamala Harris starts the count with a 353 00:17:34,080 --> 00:17:37,000 Speaker 5: built in lead that's three votes smaller than Joe Biden's 354 00:17:37,000 --> 00:17:40,840 Speaker 5: in twenty twenty, the sure blue states are three electoral 355 00:17:40,880 --> 00:17:44,040 Speaker 5: votes fewer than they were, and they run through various 356 00:17:44,080 --> 00:17:48,159 Speaker 5: scenarios where if she won a fairly predictable slate of states, 357 00:17:48,160 --> 00:17:52,040 Speaker 5: she'd be two electoral votes short just because of the 358 00:17:52,119 --> 00:17:54,000 Speaker 5: change in population over the last decade. 359 00:17:54,640 --> 00:17:58,000 Speaker 4: Man, I'm taking in some of the cable news channel media, 360 00:17:58,200 --> 00:18:01,640 Speaker 4: just through highlights and stuff like that. Democrat panels seem 361 00:18:01,720 --> 00:18:05,199 Speaker 4: a little panicked. I don't know what insider information they have, 362 00:18:05,359 --> 00:18:08,280 Speaker 4: but there it looks like there's some finger pointing going on. 363 00:18:08,400 --> 00:18:10,960 Speaker 4: We're gonna talk to Lennie jen about the election coming 364 00:18:11,000 --> 00:18:12,159 Speaker 4: up stay with us. 365 00:18:12,240 --> 00:18:13,439 Speaker 2: Are strong and getty. 366 00:18:14,920 --> 00:18:19,440 Speaker 9: You say, Kamala, you're horrible at your job. You don't 367 00:18:19,560 --> 00:18:22,520 Speaker 9: know what you're doing. You're a low IQ individual. We 368 00:18:22,560 --> 00:18:25,479 Speaker 9: want smart people, we want cunning people. We're dealing with 369 00:18:25,520 --> 00:18:28,840 Speaker 9: the smartest people in the world. We don't want your 370 00:18:28,880 --> 00:18:31,560 Speaker 9: negotiating nuclear deals because you don't want there. 371 00:18:31,640 --> 00:18:36,560 Speaker 10: You don't know what the word nuclear means. Kamala, Yeah fired, 372 00:18:36,680 --> 00:18:38,000 Speaker 10: Get the hell out of here. 373 00:18:39,080 --> 00:18:43,520 Speaker 2: I ask you one last time. Are you ready to 374 00:18:43,560 --> 00:18:51,879 Speaker 2: make your voices heard? Do we believe in freedom? Do 375 00:18:52,040 --> 00:18:53,840 Speaker 2: we believe in opportunity? 376 00:18:55,520 --> 00:19:00,760 Speaker 8: Do we believe in the promise of America? 377 00:19:01,520 --> 00:19:04,320 Speaker 11: Wait? Running to find. 378 00:19:05,920 --> 00:19:13,960 Speaker 12: Yeah? Bless what could be better after hearing from our 379 00:19:14,000 --> 00:19:18,480 Speaker 12: two sterling candidates than Lady Gaga lifting her voice in. 380 00:19:18,640 --> 00:19:24,840 Speaker 2: Saul turn it Up? Michael standy side. Oh boy, I 381 00:19:24,920 --> 00:19:27,879 Speaker 2: just saw Why am I? What have I done that 382 00:19:27,920 --> 00:19:32,080 Speaker 2: I'm being punished like this? I just saw Van Jones off. 383 00:19:32,119 --> 00:19:32,840 Speaker 7: I can't stand it. 384 00:19:32,960 --> 00:19:35,800 Speaker 4: I just saw Van Jones on CNN saying I don't 385 00:19:35,840 --> 00:19:38,159 Speaker 4: think closing with all the celebrities was a good idea. 386 00:19:38,240 --> 00:19:42,760 Speaker 4: The difference is working class, blue collar people Michigan, Wisconsin 387 00:19:42,800 --> 00:19:46,200 Speaker 4: and Pennsylvania. I don't think Lady Gaga and all these celebrities. 388 00:19:46,280 --> 00:19:48,040 Speaker 4: Was a good idea that's from Van Jones, which I 389 00:19:48,040 --> 00:19:48,800 Speaker 4: think is interesting. 390 00:19:49,480 --> 00:19:52,400 Speaker 2: Hmmm, he's a serious man. Speaking of serious men. 391 00:19:52,440 --> 00:19:55,160 Speaker 5: Please welcome lon each end of the show, Lonie David 392 00:19:55,200 --> 00:19:57,959 Speaker 5: and Diane Staffy, Fellow in American Public Policy Studies at 393 00:19:57,960 --> 00:20:00,880 Speaker 5: the Hoover Institution and the Director of Domestic Policy Studies 394 00:20:01,080 --> 00:20:02,560 Speaker 5: at Stanford University. 395 00:20:02,640 --> 00:20:03,640 Speaker 2: Lon Hey, greetings, how. 396 00:20:03,520 --> 00:20:05,440 Speaker 7: Are you Happy election day? 397 00:20:05,600 --> 00:20:06,000 Speaker 2: Gentlemen? 398 00:20:06,800 --> 00:20:09,879 Speaker 5: Thank you, thank you, just just taking off on what 399 00:20:09,880 --> 00:20:12,600 Speaker 5: we were just talking about, like saying happy surgery days. 400 00:20:13,280 --> 00:20:18,800 Speaker 11: I guess everyone's ready. Everyone's ready, much like the surgery 401 00:20:18,840 --> 00:20:19,920 Speaker 11: for it to be done well. 402 00:20:20,280 --> 00:20:21,959 Speaker 4: And what's going to be done. The voting is going 403 00:20:22,000 --> 00:20:26,120 Speaker 4: to be done. We certainly aren't done with fighting over 404 00:20:26,160 --> 00:20:28,680 Speaker 4: the results and then the policy decisions that are coming 405 00:20:28,760 --> 00:20:30,000 Speaker 4: with either of these two candidates. 406 00:20:30,040 --> 00:20:31,040 Speaker 2: That could be something right. 407 00:20:32,160 --> 00:20:34,399 Speaker 11: Yeah, I mean unfortunately, because you know, you look at 408 00:20:34,440 --> 00:20:36,639 Speaker 11: California as an example, how long it takes us to 409 00:20:36,960 --> 00:20:39,159 Speaker 11: count ballots. You know, we probably won't have a result 410 00:20:39,160 --> 00:20:41,800 Speaker 11: in some of these really close congressional races for even 411 00:20:41,840 --> 00:20:44,439 Speaker 11: a couple of weeks. And then of course there's all 412 00:20:44,480 --> 00:20:47,320 Speaker 11: the discussion about what will happen in the new Congress 413 00:20:47,320 --> 00:20:49,600 Speaker 11: and the new administration, and that doesn't happen till January, 414 00:20:49,680 --> 00:20:53,320 Speaker 11: so it is an extended conversation. You wish that we 415 00:20:53,359 --> 00:20:56,359 Speaker 11: could have a system of slightly more efficient vote counting 416 00:20:56,440 --> 00:20:59,280 Speaker 11: and that people had a lot of faith and trust in, 417 00:20:59,359 --> 00:21:01,800 Speaker 11: but this is where we're at, you know, this is 418 00:21:01,800 --> 00:21:04,359 Speaker 11: the system we have, and I think it is going 419 00:21:04,400 --> 00:21:05,800 Speaker 11: to be a little bit before we get a result. 420 00:21:06,920 --> 00:21:08,800 Speaker 5: You know, I hadn't intended to talk about this, but 421 00:21:08,840 --> 00:21:10,280 Speaker 5: as long as you brought it up. I saw a 422 00:21:10,280 --> 00:21:12,560 Speaker 5: piece in the Journal not long ago that Democrats make 423 00:21:12,600 --> 00:21:16,480 Speaker 5: California a battleground state, talking about how there are several 424 00:21:16,720 --> 00:21:20,280 Speaker 5: important congressional races that used to be pretty easy to 425 00:21:20,320 --> 00:21:23,160 Speaker 5: call blue, but there's been a certain amount of backlash 426 00:21:23,200 --> 00:21:23,919 Speaker 5: in California. 427 00:21:24,720 --> 00:21:28,439 Speaker 11: Yeah, and actually, you know, amongst the folks listening to 428 00:21:28,480 --> 00:21:31,439 Speaker 11: the show, you've got people who are in these really 429 00:21:31,480 --> 00:21:34,520 Speaker 11: important targeted districts, and they go all the way up 430 00:21:34,560 --> 00:21:36,640 Speaker 11: and down the state. So in the Central Valley, you've 431 00:21:36,680 --> 00:21:40,680 Speaker 11: got one that's near Stockton that picks up a good 432 00:21:40,680 --> 00:21:43,720 Speaker 11: part of San Joaquin County, just a sliver of Contra 433 00:21:43,760 --> 00:21:46,320 Speaker 11: Costa County and runs a little bit south from there, 434 00:21:47,200 --> 00:21:49,240 Speaker 11: you've got one in the Central Valley, two in the 435 00:21:49,280 --> 00:21:52,800 Speaker 11: Central Valley. Actually, then you go down to Orange County 436 00:21:52,840 --> 00:21:56,000 Speaker 11: and you've got several down there that are important, including 437 00:21:56,040 --> 00:22:00,240 Speaker 11: one that extends into northern San Diego County. So there 438 00:22:00,280 --> 00:22:03,800 Speaker 11: are actually, I would say probably five or six really 439 00:22:03,840 --> 00:22:07,919 Speaker 11: competitive congressional districts that Republicans have not just a decent 440 00:22:07,960 --> 00:22:11,000 Speaker 11: shot in, but probably should win at least a number 441 00:22:11,000 --> 00:22:14,720 Speaker 11: of them. So it does really argue against the notion 442 00:22:15,040 --> 00:22:18,879 Speaker 11: of blue hegemony in California. I think these seats are 443 00:22:18,920 --> 00:22:22,320 Speaker 11: actually really important to determining control of Congress, and that's 444 00:22:22,320 --> 00:22:23,919 Speaker 11: why it's really important for folks to vote. 445 00:22:24,000 --> 00:22:26,000 Speaker 2: Yeah, that'd be good for America in my opinion. 446 00:22:26,240 --> 00:22:29,639 Speaker 4: So speaking of America in the national race, Harris versus Trump, 447 00:22:29,840 --> 00:22:33,520 Speaker 4: give us if Harris wins, she ends up being the winner. 448 00:22:33,880 --> 00:22:36,800 Speaker 2: What are the three reasons she won? Wow? Great? 449 00:22:36,880 --> 00:22:37,200 Speaker 7: Question. 450 00:22:38,560 --> 00:22:43,280 Speaker 11: Number one is that she's able to reassemble key elements 451 00:22:43,320 --> 00:22:47,040 Speaker 11: of I guess what she'd call the Obama Coalition, and 452 00:22:47,080 --> 00:22:53,520 Speaker 11: that's you know, union members, that's African American voters, that's 453 00:22:53,680 --> 00:22:59,080 Speaker 11: Hispanic voters, and it's suburban whites. And if she's able 454 00:22:59,200 --> 00:23:03,440 Speaker 11: to win, it's going to be because that coalition has 455 00:23:03,520 --> 00:23:04,560 Speaker 11: essentially come back together. 456 00:23:04,600 --> 00:23:09,080 Speaker 7: That'd be number one. Number two, she's able to activate women. 457 00:23:09,280 --> 00:23:11,840 Speaker 11: And this is the great unanswered question we have as 458 00:23:11,880 --> 00:23:15,320 Speaker 11: we sit here at seven thirty am Pacific. How many 459 00:23:15,400 --> 00:23:17,639 Speaker 11: women are going to vote and how are they going 460 00:23:17,680 --> 00:23:21,520 Speaker 11: to vote? If the if you look at American politics, 461 00:23:22,040 --> 00:23:24,560 Speaker 11: the two biggest predictors of how someone's going to vote 462 00:23:24,600 --> 00:23:28,040 Speaker 11: are their gender and their education level. And if you 463 00:23:28,200 --> 00:23:31,960 Speaker 11: if you look at an elector tonight that is overwhelmingly 464 00:23:32,119 --> 00:23:35,479 Speaker 11: female versus male, that will give you some indication that 465 00:23:35,520 --> 00:23:39,600 Speaker 11: she's doing either better than expected or certainly online with 466 00:23:39,640 --> 00:23:41,960 Speaker 11: the expectations to make this a very close race. And 467 00:23:41,960 --> 00:23:45,400 Speaker 11: then the last thing I'll just say is the abortion issue. 468 00:23:45,800 --> 00:23:49,399 Speaker 11: This is something that caused the twenty twenty two elections 469 00:23:49,400 --> 00:23:51,000 Speaker 11: to turn out the way they did, And what I 470 00:23:51,040 --> 00:23:53,200 Speaker 11: mean by that is that this so called red wave 471 00:23:53,240 --> 00:23:56,440 Speaker 11: we were expecting really never materialized in the way that 472 00:23:56,480 --> 00:23:59,720 Speaker 11: we thought it would because there was so much backlash 473 00:23:59,760 --> 00:24:02,480 Speaker 11: and ways to that decision the Supreme Court to overturn 474 00:24:02,520 --> 00:24:06,679 Speaker 11: Roe versus Wade. If she's winning or if she wins 475 00:24:06,680 --> 00:24:10,600 Speaker 11: this election, it will be because that issue activated key 476 00:24:10,640 --> 00:24:14,000 Speaker 11: voters in key states, and it doesn't show up as 477 00:24:14,040 --> 00:24:16,840 Speaker 11: a top issue necessarily compared to the economy and immigration, 478 00:24:17,359 --> 00:24:19,320 Speaker 11: but it is a top issue for some of those 479 00:24:19,400 --> 00:24:22,600 Speaker 11: voters I talked about earlier, part of the Obama coalition, 480 00:24:23,640 --> 00:24:25,240 Speaker 11: a lot of the women voters that may show up 481 00:24:25,280 --> 00:24:27,600 Speaker 11: to support her, Those will be the three reasons why 482 00:24:27,640 --> 00:24:28,080 Speaker 11: she wins. 483 00:24:28,200 --> 00:24:29,800 Speaker 4: Well, I think you just tipped your hand. What are 484 00:24:29,800 --> 00:24:31,800 Speaker 4: the three reasons if Trump ends up the victor that 485 00:24:31,840 --> 00:24:32,160 Speaker 4: he won? 486 00:24:33,440 --> 00:24:33,600 Speaker 10: Well? 487 00:24:33,840 --> 00:24:36,000 Speaker 11: Number one, you know, I mean the flip side of 488 00:24:36,000 --> 00:24:38,800 Speaker 11: that is his ability to create a coalition that's unlike 489 00:24:38,840 --> 00:24:43,639 Speaker 11: any other Republican has created before, and that means driving 490 00:24:43,720 --> 00:24:46,200 Speaker 11: up margins, particularly with urban voters. 491 00:24:47,400 --> 00:24:48,520 Speaker 7: We've talked a little. 492 00:24:48,320 --> 00:24:51,960 Speaker 11: Bit about the way in which he's managed to erode 493 00:24:51,960 --> 00:24:56,080 Speaker 11: the Democrat advantage on black voters and on Hispanic voters. 494 00:24:56,119 --> 00:24:57,040 Speaker 7: If that really does end. 495 00:24:57,040 --> 00:25:00,159 Speaker 11: Up being true, that'll go a long way toward explaining 496 00:25:00,200 --> 00:25:03,080 Speaker 11: a Trump success. The second thing I would say is 497 00:25:04,119 --> 00:25:08,160 Speaker 11: it's his ability to activate white working class voters who 498 00:25:08,200 --> 00:25:11,840 Speaker 11: don't traditionally vote. We call them low propensity voters, but 499 00:25:11,960 --> 00:25:14,720 Speaker 11: you're talking about folks who don't make a habit of 500 00:25:14,760 --> 00:25:17,280 Speaker 11: going to the ballot box. These are people who might 501 00:25:17,320 --> 00:25:19,640 Speaker 11: only vote for Donald Trump and not for anybody else. 502 00:25:19,640 --> 00:25:21,479 Speaker 11: And that's why a lot of these Senate candidates who 503 00:25:21,480 --> 00:25:24,080 Speaker 11: are Republicans, even in these swing states, are going to 504 00:25:24,119 --> 00:25:26,399 Speaker 11: have issues potentially even if Trump wins, He's got to 505 00:25:26,400 --> 00:25:28,560 Speaker 11: win by a lot for them to get across the 506 00:25:28,560 --> 00:25:31,720 Speaker 11: finish line in some cases. But it is really about 507 00:25:31,960 --> 00:25:34,879 Speaker 11: how he's able potentially to activate these voters. And then 508 00:25:34,920 --> 00:25:37,439 Speaker 11: the last thing is just the issue focus. If we 509 00:25:37,480 --> 00:25:40,600 Speaker 11: look at exit polling tonight, and by far the key 510 00:25:40,600 --> 00:25:42,560 Speaker 11: issues that voters are keying in on are at the 511 00:25:42,600 --> 00:25:45,000 Speaker 11: economy and immigration, it could be a very good night 512 00:25:45,040 --> 00:25:45,760 Speaker 11: for Donald Trump. 513 00:25:46,160 --> 00:25:48,360 Speaker 5: Hey, this can be a very very brief answer if 514 00:25:48,359 --> 00:25:54,600 Speaker 5: you want, how are you setting yourself up emotionally for that? 515 00:25:54,720 --> 00:25:56,919 Speaker 5: How long is it going to take booze figure out 516 00:25:56,960 --> 00:25:57,359 Speaker 5: who's won? 517 00:25:57,480 --> 00:25:59,679 Speaker 2: Booze? Is the answer? Yes? How about that? That's going 518 00:25:59,720 --> 00:25:59,919 Speaker 2: to take? 519 00:26:00,960 --> 00:26:01,720 Speaker 7: That is the answer? 520 00:26:02,400 --> 00:26:05,280 Speaker 5: Or is that impossible to say? And if it's impossible, 521 00:26:05,280 --> 00:26:05,800 Speaker 5: it's fine. 522 00:26:06,040 --> 00:26:09,440 Speaker 11: Well, you know, look, I think if the polls and 523 00:26:09,480 --> 00:26:12,679 Speaker 11: the estimates are right, it is going to take us 524 00:26:12,680 --> 00:26:17,280 Speaker 11: at least a few days to resolve some of these states. Now, look, 525 00:26:17,600 --> 00:26:21,160 Speaker 11: there's a probability, there's a possibility that this isn't close 526 00:26:21,200 --> 00:26:23,480 Speaker 11: at all. I mean, if we look and we see, 527 00:26:23,520 --> 00:26:27,600 Speaker 11: for example, that Kamala Harris is competitive in North Carolina, 528 00:26:27,600 --> 00:26:30,560 Speaker 11: and by competitive I mean she's either ahead or within 529 00:26:30,600 --> 00:26:35,399 Speaker 11: striking distance. The same goes for Georgia, this could be 530 00:26:35,440 --> 00:26:38,200 Speaker 11: over very quickly for her. On the flip side of it, 531 00:26:38,280 --> 00:26:41,480 Speaker 11: if we see that Donald Trump's margins in Pennsylvania are 532 00:26:41,560 --> 00:26:44,119 Speaker 11: much more significant than we would have expected coming from 533 00:26:44,160 --> 00:26:47,040 Speaker 11: the early vote, and that she is not making up 534 00:26:47,160 --> 00:26:49,880 Speaker 11: enough ground in the urban core of Philadelphia, it could 535 00:26:49,880 --> 00:26:50,240 Speaker 11: be over. 536 00:26:50,240 --> 00:26:53,840 Speaker 7: Very early for Donald Trump tonight. So here's what I 537 00:26:53,880 --> 00:26:54,320 Speaker 7: would say. 538 00:26:55,240 --> 00:26:58,160 Speaker 11: I'd say probably a sixty percent likelihood that this goes 539 00:26:58,200 --> 00:27:02,760 Speaker 11: into tomorrow or beyond, no, maybe seventy percent, and then 540 00:27:02,800 --> 00:27:06,480 Speaker 11: there's a thirty percent likelihood that either Trump or Harris 541 00:27:06,840 --> 00:27:09,080 Speaker 11: is declared the winner overnight tonight. 542 00:27:10,040 --> 00:27:12,959 Speaker 5: So going from I want a short answer to this, 543 00:27:13,000 --> 00:27:14,919 Speaker 5: one can be book length. In fact, if you'd like 544 00:27:14,960 --> 00:27:17,360 Speaker 5: to talk to the show Wow, we will just tell 545 00:27:17,400 --> 00:27:22,080 Speaker 5: you when to break for commercials and listen. But you know, 546 00:27:22,160 --> 00:27:25,520 Speaker 5: it's been said that a loss can be a gift 547 00:27:25,760 --> 00:27:29,679 Speaker 5: in a way because you can reassess and reinvent your 548 00:27:29,680 --> 00:27:32,639 Speaker 5: party and go forward to greater success in the future, 549 00:27:32,800 --> 00:27:34,800 Speaker 5: abandon some of the bad habits that drag you down. 550 00:27:36,000 --> 00:27:39,120 Speaker 2: Each party if they lose, what is. 551 00:27:39,080 --> 00:27:41,600 Speaker 5: The big change you think they should make and feel 552 00:27:41,600 --> 00:27:44,600 Speaker 5: free to throw in whether you think they're smart or 553 00:27:44,640 --> 00:27:45,560 Speaker 5: self aware enough. 554 00:27:45,400 --> 00:27:45,840 Speaker 2: To do it. 555 00:27:47,720 --> 00:27:49,120 Speaker 7: Well, let's start with the Democrats. 556 00:27:49,440 --> 00:27:52,080 Speaker 11: I think it is really important for them to understand 557 00:27:52,400 --> 00:27:55,800 Speaker 11: that the excesses of the last few years on a 558 00:27:55,840 --> 00:27:58,360 Speaker 11: whole set of issues, whether I would call them cultural 559 00:27:58,400 --> 00:28:04,679 Speaker 11: issues or economics in terms of using stuff like the 560 00:28:04,680 --> 00:28:09,600 Speaker 11: Inflation Reduction Act, massive increases in spending. The combination of 561 00:28:09,640 --> 00:28:13,520 Speaker 11: that excess has driven them into a position in many 562 00:28:13,520 --> 00:28:15,920 Speaker 11: states where they just aren't as competitive as they used 563 00:28:15,920 --> 00:28:20,399 Speaker 11: to be. The old kind of working class union base 564 00:28:20,480 --> 00:28:23,200 Speaker 11: of the Democratic Party has been eroded in many states, 565 00:28:23,240 --> 00:28:25,560 Speaker 11: and that's because they have simply gone too far. And 566 00:28:25,600 --> 00:28:28,119 Speaker 11: if you ask voters in a lot of places, they'll 567 00:28:28,119 --> 00:28:30,760 Speaker 11: tell you that they think that the progressive excesses of 568 00:28:30,800 --> 00:28:33,679 Speaker 11: the Democratic Party are what have turned them off and 569 00:28:33,720 --> 00:28:37,080 Speaker 11: have ultimately made them support Donald Trump, who made them So. 570 00:28:37,840 --> 00:28:39,560 Speaker 4: Are you trying to tell me that the average guy 571 00:28:39,600 --> 00:28:41,520 Speaker 4: that works in the machine shop is not down with 572 00:28:41,560 --> 00:28:42,600 Speaker 4: the termal of TX. 573 00:28:43,320 --> 00:28:45,960 Speaker 11: Well, I mean, that's that's a great example. That's a 574 00:28:46,000 --> 00:28:49,760 Speaker 11: great example. And it's not even the term. It's being 575 00:28:49,840 --> 00:28:52,720 Speaker 11: made to feel badly that you don't use the term, 576 00:28:52,920 --> 00:28:55,760 Speaker 11: or being made to feel badly that you don't adhere 577 00:28:55,760 --> 00:28:59,120 Speaker 11: to a certain orthodoxy. And I think that that excess 578 00:28:59,160 --> 00:29:02,160 Speaker 11: on the left has really cost them electorally in many 579 00:29:02,160 --> 00:29:03,600 Speaker 11: of these places we're talking about. 580 00:29:03,600 --> 00:29:05,400 Speaker 7: Whether it's in so again, I. 581 00:29:05,320 --> 00:29:08,360 Speaker 5: Don't have a PhD, but you're suggesting that never ending 582 00:29:08,680 --> 00:29:14,120 Speaker 5: judgment and condensation, condescension rather starts to wear on people. 583 00:29:14,240 --> 00:29:16,280 Speaker 7: Yeah, yeah, yeah, I mean, I know it's crazy. 584 00:29:16,360 --> 00:29:18,560 Speaker 11: It's crazy, right, I mean, we we we we all 585 00:29:18,600 --> 00:29:19,360 Speaker 11: love a good lecture. 586 00:29:19,400 --> 00:29:20,680 Speaker 7: I guess what. 587 00:29:20,680 --> 00:29:25,080 Speaker 11: About the Republicans, you know there, I think it will be. 588 00:29:25,080 --> 00:29:26,280 Speaker 2: Don't nominate Trump again? 589 00:29:26,600 --> 00:29:28,320 Speaker 11: Well, I know, I mean I think that that that 590 00:29:28,400 --> 00:29:30,360 Speaker 11: they may be part of it is, but but I 591 00:29:30,800 --> 00:29:32,920 Speaker 11: think the other part of it is there. There does 592 00:29:33,040 --> 00:29:34,640 Speaker 11: need to be a little bit of a re examination 593 00:29:34,760 --> 00:29:36,800 Speaker 11: because I think that over the last couple of years 594 00:29:37,400 --> 00:29:40,960 Speaker 11: there are issues on which Democrats and Republicans have actually converged. 595 00:29:41,000 --> 00:29:43,880 Speaker 11: And one of those I've mentioned already, which is really 596 00:29:44,000 --> 00:29:47,800 Speaker 11: leaning in on a bigger role for the federal government, 597 00:29:47,880 --> 00:29:53,000 Speaker 11: and that includes on on spending, it includes on uh, 598 00:29:53,200 --> 00:29:55,720 Speaker 11: you know, on on abortion rights, for example. There's been 599 00:29:55,720 --> 00:29:58,880 Speaker 11: some conversation about this as well, but the basic point 600 00:29:59,000 --> 00:30:02,000 Speaker 11: is that if you look at the nineteen eighties and 601 00:30:02,080 --> 00:30:04,640 Speaker 11: nineteen nineties, there was a contrast, a pretty clear contrast 602 00:30:04,720 --> 00:30:07,280 Speaker 11: in terms of the role of government, in terms of 603 00:30:07,320 --> 00:30:12,160 Speaker 11: the way in which Republicans and Democrats approached it, approach 604 00:30:12,200 --> 00:30:13,880 Speaker 11: certain economic questions, et cetera. 605 00:30:14,640 --> 00:30:15,959 Speaker 7: And there was a contrast. 606 00:30:16,160 --> 00:30:17,960 Speaker 11: And over the last couple of years some of that 607 00:30:18,040 --> 00:30:20,920 Speaker 11: contrast I think has arguably eroded, and I think Republicans 608 00:30:20,960 --> 00:30:24,160 Speaker 11: have to figure out again, are there elements of that 609 00:30:25,480 --> 00:30:27,960 Speaker 11: let's call it traditional approach to economic policy, for. 610 00:30:27,960 --> 00:30:30,760 Speaker 7: Example, that need to be renovated. 611 00:30:30,920 --> 00:30:32,840 Speaker 11: I mean, aside from the Trump question, which I think 612 00:30:32,920 --> 00:30:36,360 Speaker 11: is obviously the big lingering eight hundred pound gorilla, if 613 00:30:36,400 --> 00:30:39,200 Speaker 11: you will, which is to what degree was it a 614 00:30:39,240 --> 00:30:41,600 Speaker 11: function of nominating him? I think there will be some 615 00:30:41,680 --> 00:30:44,440 Speaker 11: conversation about that, But there's a bigger issue that goes 616 00:30:44,440 --> 00:30:46,080 Speaker 11: well beyond Trump, which is what doesn't mean to be 617 00:30:46,080 --> 00:30:48,840 Speaker 11: a Republican? I mean, like, what does that actually mean anymore? 618 00:30:49,160 --> 00:30:51,200 Speaker 11: And I think there's been, aside from being the Party 619 00:30:51,200 --> 00:30:52,840 Speaker 11: of Trump, which is what it's been for the last 620 00:30:53,240 --> 00:30:56,560 Speaker 11: better part of eight years. Now, I think people will 621 00:30:56,600 --> 00:30:59,239 Speaker 11: need to really sit back and say, hey, you know, 622 00:30:59,400 --> 00:31:02,320 Speaker 11: do we have a viable center right conservative movement in 623 00:31:02,320 --> 00:31:03,920 Speaker 11: this country and what does it look like in contrast 624 00:31:03,920 --> 00:31:05,120 Speaker 11: to what the Democrats are proposing. 625 00:31:05,800 --> 00:31:08,280 Speaker 2: Lani Chen, who I believe the stat is right. 626 00:31:08,360 --> 00:31:12,840 Speaker 4: You got more Republican votes in twenty twenty two than 627 00:31:12,880 --> 00:31:14,320 Speaker 4: anybody in the country. 628 00:31:14,480 --> 00:31:19,120 Speaker 11: More votes, Yeah, more including Versantis, that's correct. 629 00:31:18,800 --> 00:31:19,880 Speaker 2: Which is amazing. 630 00:31:20,200 --> 00:31:23,880 Speaker 4: Yeah, and unfortunately he lost because California is a communist state. 631 00:31:24,760 --> 00:31:28,959 Speaker 5: Correct, you said it, not me right, one party kleptocracy. 632 00:31:29,040 --> 00:31:32,440 Speaker 5: Lani Chen of the Hoover Institution in Stanford University. 633 00:31:32,960 --> 00:31:35,560 Speaker 2: We look forward to chatting with you post election. Lani. 634 00:31:35,840 --> 00:31:36,680 Speaker 2: It makes sense of the. 635 00:31:36,640 --> 00:31:39,200 Speaker 11: Mess absolutely, And if you haven't voted yet, get out 636 00:31:39,240 --> 00:31:40,080 Speaker 11: there and vote today. 637 00:31:40,080 --> 00:31:41,239 Speaker 2: Cool. That is. 638 00:31:41,520 --> 00:31:44,080 Speaker 4: That is an amazing stat because Ron de Santis won 639 00:31:44,120 --> 00:31:46,720 Speaker 4: by like twenty points in a very large state. He 640 00:31:46,800 --> 00:31:48,800 Speaker 4: still didn't get him any as many votes as Lanhi 641 00:31:48,840 --> 00:31:51,240 Speaker 4: Chen got. And Lani Chen was endorsed by what the 642 00:31:51,400 --> 00:31:55,360 Speaker 4: La Times, the San Francisco Chronicle. I mean everybody needs still. 643 00:31:55,240 --> 00:31:58,840 Speaker 5: Major publication website in California, the scratch Still the politics 644 00:31:58,880 --> 00:32:01,320 Speaker 5: are so stupid that there were so many people that 645 00:32:01,480 --> 00:32:04,960 Speaker 5: just could not vote for an R under any circumstances. 646 00:32:05,200 --> 00:32:07,720 Speaker 4: And just you know, I hope we moved past that 647 00:32:07,800 --> 00:32:09,920 Speaker 4: at some point. I mean, just as a nation, not 648 00:32:09,960 --> 00:32:12,600 Speaker 4: even California, and the well. 649 00:32:12,480 --> 00:32:14,560 Speaker 5: California is unique, and that the order came down from 650 00:32:14,600 --> 00:32:16,440 Speaker 5: all the public employee unions. 651 00:32:16,520 --> 00:32:18,280 Speaker 2: Yeah whatever, vote D and. 652 00:32:18,240 --> 00:32:21,840 Speaker 5: They voted D so and nominated half a crook and 653 00:32:21,880 --> 00:32:23,760 Speaker 5: half a moron or elected rather. 654 00:32:23,800 --> 00:32:26,640 Speaker 4: One of the most respected posters American, Nate Silver, ran 655 00:32:27,280 --> 00:32:30,280 Speaker 4: his simulator last night with all the polls in eighty 656 00:32:30,480 --> 00:32:34,120 Speaker 4: thousand times eighty thousand simulations. 657 00:32:34,600 --> 00:32:36,200 Speaker 2: How did it turn out? Who won? 658 00:32:36,280 --> 00:32:40,760 Speaker 4: We'll hit you with that, among other things on the way. 659 00:32:41,920 --> 00:32:45,000 Speaker 10: I mean, Nancy Pelosi, she's a crooked person. She is 660 00:32:45,040 --> 00:32:49,480 Speaker 10: a bad person, evil, she's an evil, sick crazy. 661 00:32:50,600 --> 00:32:50,800 Speaker 1: Bit. 662 00:32:51,240 --> 00:32:58,320 Speaker 10: Oh no, it starts with it B. But I won't 663 00:32:58,360 --> 00:32:58,719 Speaker 10: say it. 664 00:32:59,080 --> 00:33:01,239 Speaker 2: Wow, I want to say it. 665 00:33:10,520 --> 00:33:14,239 Speaker 10: I want to say but Franklin Graham said, sir, I 666 00:33:14,320 --> 00:33:18,920 Speaker 10: love your speaking ability, and I love your storytelling, but honestly, 667 00:33:19,840 --> 00:33:22,760 Speaker 10: it would be even better if you wouldn't use foul language, 668 00:33:22,800 --> 00:33:24,520 Speaker 10: and I don't use much, you know, every once in 669 00:33:24,560 --> 00:33:27,080 Speaker 10: a while, and it's never a real bad word. It's 670 00:33:27,120 --> 00:33:31,880 Speaker 10: you know, it's like never bad and so I try 671 00:33:31,920 --> 00:33:33,800 Speaker 10: to it here. But he's wrong about one thing. It 672 00:33:33,880 --> 00:33:35,960 Speaker 10: is a little better when you use the foul language 673 00:33:35,960 --> 00:33:37,640 Speaker 10: because it's more actress. 674 00:33:40,120 --> 00:33:44,520 Speaker 4: So either wing either Today is kind of the end 675 00:33:44,520 --> 00:33:48,320 Speaker 4: of the whole Trump thing after nearly a decade or 676 00:33:49,800 --> 00:33:52,280 Speaker 4: four more years as president of the most powerful nation 677 00:33:52,320 --> 00:33:52,720 Speaker 4: on earth. 678 00:33:53,160 --> 00:33:56,200 Speaker 2: And we'll see in Islan. 679 00:33:56,320 --> 00:33:58,920 Speaker 5: He was hinting at at least what does the Republican 680 00:33:58,960 --> 00:34:01,320 Speaker 5: Party look like without Trump? 681 00:34:02,080 --> 00:34:05,600 Speaker 2: Good question. Nobody knows the answer to that. What's its platform? 682 00:34:05,680 --> 00:34:05,760 Speaker 10: So? 683 00:34:05,920 --> 00:34:08,200 Speaker 2: How interested are people in the election? 684 00:34:08,520 --> 00:34:12,520 Speaker 4: I came across this yesterday to help booster my willingness 685 00:34:12,520 --> 00:34:18,080 Speaker 4: to talk about this. What percentage of people rate their 686 00:34:18,360 --> 00:34:21,200 Speaker 4: interest in the election at a nine out of ten 687 00:34:21,360 --> 00:34:23,080 Speaker 4: or higher? So nine out of ten or ten out 688 00:34:23,080 --> 00:34:26,719 Speaker 4: of ten, And it's about eighty percent of people. And 689 00:34:26,840 --> 00:34:29,600 Speaker 4: I gotta believe of people listening to the show or 690 00:34:29,920 --> 00:34:32,560 Speaker 4: taking in podcasts or talk radio or whatever, you're in 691 00:34:32,560 --> 00:34:35,200 Speaker 4: that crowd. But eighty percent of people rate it as 692 00:34:35,239 --> 00:34:39,480 Speaker 4: a nine or ten Their level of interest. That is something. 693 00:34:40,000 --> 00:34:42,160 Speaker 5: So I want to be surprised to hear that, honestly, 694 00:34:42,200 --> 00:34:45,480 Speaker 5: given the spectacular turnout across the country in early voting. 695 00:34:45,800 --> 00:34:50,480 Speaker 2: Yeah so, Nate. 696 00:34:50,360 --> 00:34:54,240 Speaker 4: Silver is one of the more respected pollsters in America. 697 00:34:54,360 --> 00:35:01,680 Speaker 4: He ran his final simulation after midnight last night of 698 00:35:01,680 --> 00:35:02,920 Speaker 4: how he thought it was going to turn out. He 699 00:35:02,920 --> 00:35:04,520 Speaker 4: plugs in all the poles and all the waiting, and 700 00:35:04,560 --> 00:35:06,719 Speaker 4: he's got his own methodology, which I don't think he 701 00:35:06,800 --> 00:35:07,640 Speaker 4: shares all of it. 702 00:35:08,360 --> 00:35:10,720 Speaker 2: And the Chiefs beat the Eagles twenty seven to twenty 703 00:35:16,200 --> 00:35:20,680 Speaker 2: What does that mean? They run the computer simulations eighty 704 00:35:20,719 --> 00:35:22,560 Speaker 2: thousand times before the Super Bowl too? 705 00:35:22,760 --> 00:35:27,080 Speaker 4: Oh okay, gotcha, So maddens thing. He ran his simulation 706 00:35:27,719 --> 00:35:30,920 Speaker 4: eighty thousand times. What's interesting about this to me is 707 00:35:31,160 --> 00:35:33,080 Speaker 4: with all the polling plugged in and everything like that, 708 00:35:33,320 --> 00:35:39,480 Speaker 4: Harris won forty thousand and twelve eighty thousand times. He 709 00:35:39,600 --> 00:35:42,840 Speaker 4: ran the whole simulation. She won twelve more times than Trump. 710 00:35:43,520 --> 00:35:46,320 Speaker 2: So there you have it. It's pretty close. Apparently. 711 00:35:47,200 --> 00:35:50,480 Speaker 5: Oh, I feel like the gods are mocking us or something. 712 00:35:50,560 --> 00:35:53,480 Speaker 5: There were punished, right, punished or something. 713 00:35:53,520 --> 00:35:55,520 Speaker 4: I don't even know, as we've been saying it doesn't 714 00:35:55,560 --> 00:35:57,960 Speaker 4: seem like if your goal was to get the country 715 00:35:57,960 --> 00:36:00,480 Speaker 4: fifty to fifty, you could get this close possible. 716 00:36:00,840 --> 00:36:03,759 Speaker 5: Oh no, no, no, back to an infinite number of 717 00:36:03,880 --> 00:36:06,720 Speaker 5: monkeys on an infinite number of typewriters know, an infinite 718 00:36:06,800 --> 00:36:09,400 Speaker 5: number of political operatives with an infinite amount of cash 719 00:36:09,600 --> 00:36:11,240 Speaker 5: could not produce an election this close. 720 00:36:11,480 --> 00:36:14,320 Speaker 2: Yeah, I was just looking up at cable news channels. 721 00:36:14,320 --> 00:36:17,279 Speaker 4: I observed something worth commenting on, among other things, we'd 722 00:36:17,280 --> 00:36:18,680 Speaker 4: like to hear your texts too and emails. 723 00:36:18,719 --> 00:36:21,800 Speaker 2: Stay with us, Armstrong and Getty