1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,240 --> 00:00:11,640 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty Armstrong and Jettie, 3 00:00:11,680 --> 00:00:25,520 Speaker 1: I know he Armstrong and Yetty. Guys. 4 00:00:25,560 --> 00:00:28,360 Speaker 2: The Christmas season is in full swing. Everybody's enjoying their 5 00:00:28,400 --> 00:00:29,640 Speaker 2: favorite Christmas. 6 00:00:29,320 --> 00:00:29,960 Speaker 3: Music, right. 7 00:00:30,920 --> 00:00:31,560 Speaker 1: It's fun. 8 00:00:34,880 --> 00:00:37,239 Speaker 2: But I noticed that this year they've updated a lot 9 00:00:37,240 --> 00:00:39,879 Speaker 2: of classic songs to make them feel a little more modern. 10 00:00:40,400 --> 00:00:40,600 Speaker 1: Yeah. 11 00:00:40,600 --> 00:00:42,520 Speaker 2: For instance, instead of It's beginning to look a lot 12 00:00:42,560 --> 00:00:45,240 Speaker 2: like Christmas, there's it's low key giving Christmas. 13 00:00:45,360 --> 00:00:49,760 Speaker 1: Right now. Wow, there's another. 14 00:00:49,440 --> 00:00:53,560 Speaker 2: Insteadive, I saw Mommy kissing Santa Claus. There's Mommy and Santaur. 15 00:00:53,320 --> 00:00:54,600 Speaker 1: In a situation ship. 16 00:00:56,720 --> 00:00:59,240 Speaker 2: And finally, instead of the twelve Days of Christmas, there's 17 00:00:59,520 --> 00:01:01,840 Speaker 2: the six seven Days of Christmas. 18 00:01:02,320 --> 00:01:07,280 Speaker 1: Oh. I got a lot of mileage with six seven 19 00:01:07,360 --> 00:01:09,720 Speaker 1: jokes last night working at the Christmas Tree. Lot lots 20 00:01:09,720 --> 00:01:12,560 Speaker 1: of mileage. Oh. The whole thing sickens me. I got 21 00:01:12,560 --> 00:01:17,160 Speaker 1: a lot of laughs. I got groans and laughs because 22 00:01:17,160 --> 00:01:19,640 Speaker 1: he got the trees lined up, and he got four 23 00:01:19,680 --> 00:01:23,039 Speaker 1: to five foot trees, then he got six to seven 24 00:01:23,080 --> 00:01:24,960 Speaker 1: foot trees. So I stood in a six to seven 25 00:01:25,040 --> 00:01:30,000 Speaker 1: lot pointing at the sign lot. Oh more on that 26 00:01:30,040 --> 00:01:37,360 Speaker 1: in just a second. So, the biggest Congress political story, 27 00:01:37,520 --> 00:01:42,280 Speaker 1: not like electoral but like legislation political story going on 28 00:01:42,400 --> 00:01:45,920 Speaker 1: right now is that, right Congress legislates I almost forgot. 29 00:01:46,200 --> 00:01:49,520 Speaker 1: Not really, they don't really, They go through some motions 30 00:01:49,560 --> 00:01:51,960 Speaker 1: down then, but it's the whole Obamacare subsidy story that 31 00:01:52,000 --> 00:01:54,320 Speaker 1: I'm so tired of hearing anything about. But anyway, here's 32 00:01:54,360 --> 00:01:56,320 Speaker 1: the latest on that, and we'll discuss briefly. 33 00:01:56,520 --> 00:01:58,680 Speaker 3: As of right now, it does appear that this plan 34 00:01:58,920 --> 00:02:02,320 Speaker 3: backed by Democrats and the ones supported by Republicans. Both 35 00:02:02,360 --> 00:02:05,880 Speaker 3: of those plants appear unlikely to pass right now. The 36 00:02:05,960 --> 00:02:10,800 Speaker 3: Democrats supported plan would extend ACA subsidies for three more years, 37 00:02:10,800 --> 00:02:13,440 Speaker 3: but some Republicans say it does not do enough to 38 00:02:13,480 --> 00:02:16,480 Speaker 3: combat fraud and it costs too much. On the other 39 00:02:16,560 --> 00:02:20,240 Speaker 3: side of this, the Republican plan eliminates those subsidies and 40 00:02:20,280 --> 00:02:23,960 Speaker 3: redirects the savings into health savings accounts also known as 41 00:02:24,120 --> 00:02:27,760 Speaker 3: HSA's for people buying bronze or catastrophic plans. 42 00:02:31,600 --> 00:02:37,600 Speaker 1: So I find this story so annoying. I assume that 43 00:02:37,680 --> 00:02:39,839 Speaker 1: if you follow us in the news, you understand what's 44 00:02:39,880 --> 00:02:44,200 Speaker 1: going on here. So people who have their healthcare through 45 00:02:44,200 --> 00:02:50,239 Speaker 1: Obamacare got a break during COVID that the Biden administration 46 00:02:50,280 --> 00:02:52,400 Speaker 1: thought was a good idea, and then it was supposed 47 00:02:52,400 --> 00:02:54,880 Speaker 1: to end when COVID was over. So it's supposed to 48 00:02:55,000 --> 00:02:56,640 Speaker 1: end soon and supposed to go back to the price 49 00:02:56,680 --> 00:03:01,280 Speaker 1: it was before that Democrats the law Democrats came up with. 50 00:03:01,919 --> 00:03:04,799 Speaker 1: It's supposed to go back to their numbers. But it's 51 00:03:04,840 --> 00:03:08,320 Speaker 1: being portrayed as a raise in the cost of your 52 00:03:08,320 --> 00:03:12,200 Speaker 1: healthcare to a small portion of America. We're not even 53 00:03:12,200 --> 00:03:15,560 Speaker 1: talking about that many people, right, It's just a handful 54 00:03:15,600 --> 00:03:18,640 Speaker 1: of million people that this even the whole healthcare thing 55 00:03:18,639 --> 00:03:21,680 Speaker 1: always drives me crazy because the vast majority of us 56 00:03:22,080 --> 00:03:26,839 Speaker 1: still get a job that provides u healthcare, right sure, Yeah, 57 00:03:26,840 --> 00:03:30,760 Speaker 1: And we're always talking about these little portions of people anyway, 58 00:03:30,840 --> 00:03:32,440 Speaker 1: So the numbers are going to go back to what 59 00:03:32,800 --> 00:03:38,880 Speaker 1: Obama and Biden wanted them to be, right for the pandemic, 60 00:03:38,920 --> 00:03:40,760 Speaker 1: and now any attempt to fix that is seen as 61 00:03:41,120 --> 00:03:45,720 Speaker 1: is like pushing old people downstairs, or starving in sick babies, 62 00:03:45,840 --> 00:03:48,400 Speaker 1: or whatever the hell you're intentionally yanking the medicine away 63 00:03:48,400 --> 00:03:51,800 Speaker 1: from sick babies. Yeah. Indeed, finally, the GOP which is 64 00:03:51,840 --> 00:03:54,320 Speaker 1: so bad at messaging it's a joke. They are the 65 00:03:54,400 --> 00:03:57,280 Speaker 1: New York Jets of messaging lately. Part of it might 66 00:03:57,320 --> 00:03:59,120 Speaker 1: be it's difficult for them to get the word out 67 00:03:59,160 --> 00:04:02,160 Speaker 1: because the mainstream you won't report what they say. But 68 00:04:02,320 --> 00:04:04,400 Speaker 1: finally I heard Lindsey Graham say, and I'm gonna ask 69 00:04:04,480 --> 00:04:08,720 Speaker 1: for forty six here, Michael. Finally last night I heard 70 00:04:08,760 --> 00:04:12,160 Speaker 1: Lindsay Graham say, those are extra subsidies for COVID. COVID 71 00:04:12,200 --> 00:04:16,480 Speaker 1: is over. I mean that simple is great. And then 72 00:04:16,760 --> 00:04:20,960 Speaker 1: with a little more fleshing out Ron Johnson of Wisconsin here. 73 00:04:21,080 --> 00:04:24,880 Speaker 4: The Obamacare subsidies will continue. What we are talking about 74 00:04:24,920 --> 00:04:30,000 Speaker 4: are the temporary COVID enhanced subsidies that Democrats voted for. 75 00:04:30,080 --> 00:04:33,360 Speaker 4: The Democrats scheduled to expire at the end of this year. 76 00:04:33,680 --> 00:04:36,320 Speaker 4: We're not talking about anything that's going to impact people 77 00:04:36,320 --> 00:04:41,000 Speaker 4: on employer sponsored healthcare, Medicare, Medicaid VA. We're talking about 78 00:04:41,080 --> 00:04:44,240 Speaker 4: the supposedly twenty four million people on the exchanges. The 79 00:04:44,320 --> 00:04:47,599 Speaker 4: vast majority of those will just revert to the original 80 00:04:47,640 --> 00:04:51,799 Speaker 4: Obamacare substace. If you don't like that, blame Obamacare, Blame Democrats. 81 00:04:52,040 --> 00:04:54,479 Speaker 4: If your premiums are going up, it's not because the 82 00:04:54,560 --> 00:04:57,120 Speaker 4: enhanced subsetas are going away. It's because the faulty design 83 00:04:57,120 --> 00:04:59,200 Speaker 4: of Obamacare driving them. 84 00:05:00,160 --> 00:05:03,200 Speaker 1: Yeah, Haryl Loujah, you'd think they could do a better 85 00:05:03,279 --> 00:05:06,320 Speaker 1: job on the talk shows or whenever they're asked about 86 00:05:06,320 --> 00:05:08,840 Speaker 1: this of pushing back from Marjorie Taylor. Green got so 87 00:05:08,920 --> 00:05:14,200 Speaker 1: much attention while back now about how my own kids 88 00:05:14,880 --> 00:05:18,840 Speaker 1: their healthcare is about to go up blank percent and 89 00:05:18,880 --> 00:05:20,919 Speaker 1: they can't afford it. Somebody should have sent to her, 90 00:05:21,000 --> 00:05:22,200 Speaker 1: President Trump should Is that to her? 91 00:05:22,320 --> 00:05:22,440 Speaker 5: Now? 92 00:05:22,440 --> 00:05:25,680 Speaker 1: It's going back to what it was before those were 93 00:05:25,720 --> 00:05:27,840 Speaker 1: the numbers Barack Obama and Joe Biden came up with 94 00:05:27,880 --> 00:05:30,040 Speaker 1: you are you mad with their numbers? You were happy 95 00:05:30,120 --> 00:05:32,400 Speaker 1: with them before you signed up for it before that 96 00:05:32,560 --> 00:05:35,800 Speaker 1: was their numbers. And I appreciated Ron Johnson throwing in 97 00:05:35,800 --> 00:05:39,120 Speaker 1: the fact that Obamacare is a miserable failure. It is 98 00:05:39,160 --> 00:05:42,600 Speaker 1: a horrific money pit that's done nothing but profit the 99 00:05:42,640 --> 00:05:45,599 Speaker 1: giant insurance corporations who are in on writing it. And 100 00:05:45,640 --> 00:05:48,400 Speaker 1: Craig the healthcare guru, told us from the beginning would 101 00:05:48,400 --> 00:05:51,680 Speaker 1: be the result, but they just and look, I realized 102 00:05:51,720 --> 00:05:56,080 Speaker 1: this is not as beautifully stupidly simple a message as 103 00:05:56,160 --> 00:05:59,039 Speaker 1: they're gonna take away your healthcare, which is tough to 104 00:05:59,040 --> 00:06:02,800 Speaker 1: beat in our politics or modern politics, but you can 105 00:06:02,839 --> 00:06:05,680 Speaker 1: communicate that, and if you can't, we got to give 106 00:06:05,760 --> 00:06:09,880 Speaker 1: up on self governance and get a king. Well. It 107 00:06:09,920 --> 00:06:11,600 Speaker 1: often goes back to one of my favorite books, The 108 00:06:11,680 --> 00:06:16,520 Speaker 1: High Cost of Good Intentions, tracking this going all the 109 00:06:16,560 --> 00:06:19,599 Speaker 1: way back to the Revolutionary War. Anytime you offer anything 110 00:06:19,680 --> 00:06:22,640 Speaker 1: to people, it grows and grows and grows and is 111 00:06:22,800 --> 00:06:26,520 Speaker 1: always permanent. It starts as a temporary this, and it 112 00:06:26,600 --> 00:06:29,360 Speaker 1: ends up a permanent that for many more people. It's 113 00:06:29,600 --> 00:06:32,159 Speaker 1: just the high cost of good intentions. It's just the 114 00:06:32,160 --> 00:06:36,640 Speaker 1: way bureaucracies work. It's the way apparently democratic politics works. 115 00:06:37,080 --> 00:06:41,159 Speaker 1: And you can quite literally give people a benefit of 116 00:06:41,200 --> 00:06:44,479 Speaker 1: some sort for a week, and if you remove the 117 00:06:44,520 --> 00:06:47,400 Speaker 1: benefit at the end of the week, people will weep 118 00:06:47,600 --> 00:06:50,880 Speaker 1: and screech and tear their garments as if you're stealing 119 00:06:50,880 --> 00:06:55,440 Speaker 1: their children from them. It's just unbelievable. Everything that flows 120 00:06:55,480 --> 00:06:59,680 Speaker 1: two taxpayers is permanent always. So there's a Republican bill 121 00:06:59,720 --> 00:07:01,680 Speaker 1: and a Dimocratic bill, as you heard there. Neither one 122 00:07:01,680 --> 00:07:03,520 Speaker 1: are going to pass today, and so this conversation will 123 00:07:03,560 --> 00:07:06,039 Speaker 1: be around for a while. I wanted to mention this. 124 00:07:06,120 --> 00:07:08,400 Speaker 1: I work at the Christmas Tree lot with my son 125 00:07:08,480 --> 00:07:10,240 Speaker 1: last night. He's in Boy Scouts and that's a Boy 126 00:07:10,240 --> 00:07:12,720 Speaker 1: Scout Christmas Tree lot. And so we did our got 127 00:07:12,720 --> 00:07:14,440 Speaker 1: a couple of shifts were working, and we did work 128 00:07:14,480 --> 00:07:18,360 Speaker 1: the two hour shift and it was absolutely fantastic. Lots 129 00:07:18,360 --> 00:07:20,600 Speaker 1: of people coming out to support the Boy Scouts. And 130 00:07:20,640 --> 00:07:23,560 Speaker 1: we're going to the actual name of his Scouting USA, 131 00:07:23,640 --> 00:07:25,640 Speaker 1: but there's no law that can make me say that. 132 00:07:25,760 --> 00:07:30,840 Speaker 1: So lots of people coming out supporting the Boy Scouts 133 00:07:30,880 --> 00:07:32,840 Speaker 1: and that sort of stuff, and it's a very festive, 134 00:07:33,040 --> 00:07:35,440 Speaker 1: family nice I mean, it was just it was like 135 00:07:35,480 --> 00:07:37,480 Speaker 1: out of a movie. It was so fantastic. But anyway, 136 00:07:37,600 --> 00:07:40,119 Speaker 1: I was out of life twenty years ago. It's great. 137 00:07:40,120 --> 00:07:43,040 Speaker 1: I love that. Yeah, it was really really great. It's 138 00:07:43,040 --> 00:07:46,000 Speaker 1: so wholesome. But there was But it was like the 139 00:07:46,000 --> 00:07:47,800 Speaker 1: first time my son has ever done any sort of 140 00:07:47,840 --> 00:07:49,480 Speaker 1: like he actually said to me, he said, have you 141 00:07:49,560 --> 00:07:52,360 Speaker 1: ever worked retail? My thirteen year old says to me, 142 00:07:52,560 --> 00:07:54,720 Speaker 1: I said, I did. Briefly. I worked at a giant 143 00:07:56,960 --> 00:07:58,880 Speaker 1: hardware store kind of like a home depot sort of 144 00:07:58,920 --> 00:08:02,160 Speaker 1: place in Kansas City for like six months. It's the 145 00:08:02,160 --> 00:08:04,160 Speaker 1: only retail I've ever worked in my life, although this 146 00:08:04,240 --> 00:08:07,600 Speaker 1: job is a bit like that, although we don't have 147 00:08:07,600 --> 00:08:10,440 Speaker 1: to do it face to face very much. But so 148 00:08:10,720 --> 00:08:12,200 Speaker 1: I'm running around and help bay. Can I help you 149 00:08:12,280 --> 00:08:13,640 Speaker 1: with that? Well, let me know if you make a decision. 150 00:08:13,640 --> 00:08:15,280 Speaker 1: We're right over here. If you need to help carrying it. 151 00:08:15,280 --> 00:08:16,600 Speaker 1: Blah blah blah, you want a fresh cut on that, 152 00:08:16,640 --> 00:08:19,160 Speaker 1: blah blah blah. Doing the whole thing. We're working my magic, 153 00:08:19,600 --> 00:08:22,280 Speaker 1: very nice. My son got to see an interaction between 154 00:08:22,560 --> 00:08:26,000 Speaker 1: and I wasn't exactly sure. It was a very old 155 00:08:26,080 --> 00:08:29,840 Speaker 1: guy and not quite as old woman, but also old, 156 00:08:29,840 --> 00:08:33,080 Speaker 1: and I wasn't quite sure if the relationship with husband 157 00:08:33,120 --> 00:08:38,360 Speaker 1: wife like seventy five and fifty five, or father daughter. 158 00:08:40,160 --> 00:08:42,720 Speaker 1: When I retold the story to someone else after they left, 159 00:08:42,720 --> 00:08:45,280 Speaker 1: he said had to be father daughter. No wife would 160 00:08:45,320 --> 00:08:48,600 Speaker 1: put up with that anyway. So they're looking at the 161 00:08:48,640 --> 00:08:50,320 Speaker 1: tree and they're kind of getting it, and I just 162 00:08:50,360 --> 00:08:52,440 Speaker 1: walk up to him, and the old guy says, would 163 00:08:52,480 --> 00:08:54,199 Speaker 1: you just listen to me for a second. How about 164 00:08:54,200 --> 00:08:58,440 Speaker 1: you listen to me for one second? Own that tone 165 00:08:58,480 --> 00:09:00,599 Speaker 1: of voice to the woman, And she looks at me 166 00:09:00,640 --> 00:09:04,240 Speaker 1: and kind of rolls her eyes we're shopping for a 167 00:09:04,360 --> 00:09:07,920 Speaker 1: Christmas tree. Is the context here, surrounded by children who 168 00:09:07,960 --> 00:09:12,679 Speaker 1: are boy scouts. Oh oh, you gotta pity that person. 169 00:09:13,080 --> 00:09:15,520 Speaker 1: But she looked at me and I got I didn't 170 00:09:15,640 --> 00:09:17,599 Speaker 1: make any facial expressions. She rolled her eyes just a 171 00:09:17,600 --> 00:09:21,720 Speaker 1: little bit. He was very, very agitated about something, and 172 00:09:21,760 --> 00:09:23,880 Speaker 1: I think I think dude, I was talking to his right. 173 00:09:23,920 --> 00:09:27,800 Speaker 1: It almost had to be father daughter. Couldn't have been 174 00:09:27,840 --> 00:09:29,679 Speaker 1: a husband wife. She would have left a long time 175 00:09:29,720 --> 00:09:35,360 Speaker 1: ago if that was his ricked routine. Wow, I guess 176 00:09:35,360 --> 00:09:39,880 Speaker 1: he didn't want a Douglas fir huh apparently not Yeah, 177 00:09:40,080 --> 00:09:44,280 Speaker 1: Douglas for my ass. He's saying, right, Oh, that's it's 178 00:09:45,120 --> 00:09:47,520 Speaker 1: we all run into this now and then. Sometimes i'm 179 00:09:47,559 --> 00:09:50,880 Speaker 1: that person, and usually it's other things you're agitated about 180 00:09:50,960 --> 00:09:55,280 Speaker 1: from yesterday, earlier, always, or whatever. But when you come 181 00:09:55,320 --> 00:09:59,000 Speaker 1: across somebody and they're that agitated about something and it's 182 00:09:59,280 --> 00:10:03,600 Speaker 1: incongruent with whatever the situation is, So he's so striking 183 00:10:04,440 --> 00:10:07,360 Speaker 1: ro whether it's the airport or a restaurant or whatever 184 00:10:07,360 --> 00:10:11,000 Speaker 1: the situation is, would you just listen for one time, 185 00:10:11,000 --> 00:10:14,160 Speaker 1: one second, listen to me. Oh, maybe she doesn't listen 186 00:10:14,200 --> 00:10:17,440 Speaker 1: to him, and did you consider that maybe maybe she 187 00:10:17,440 --> 00:10:19,920 Speaker 1: hasn't been listening to him for like fifty seven years, 188 00:10:19,960 --> 00:10:23,120 Speaker 1: and he's at it, and finally, and finally they're at 189 00:10:23,120 --> 00:10:26,160 Speaker 1: the Christmas tree lot, surrounded by the Scouts. He thought, 190 00:10:26,640 --> 00:10:30,439 Speaker 1: now is the time to take my stand. Well, you're 191 00:10:30,480 --> 00:10:33,600 Speaker 1: a daughter, Katie. Yeah, you got my guess, husband, wife 192 00:10:33,679 --> 00:10:36,920 Speaker 1: or father daughter. It's got to be father daughter and 193 00:10:37,240 --> 00:10:43,840 Speaker 1: now it's not. I don't think that's I think so, yeah, 194 00:10:44,000 --> 00:10:45,360 Speaker 1: you think I think she would have put up with 195 00:10:45,400 --> 00:10:49,959 Speaker 1: that all these years though maybe she's like twenty years younger. 196 00:10:50,120 --> 00:10:52,160 Speaker 1: Did he seem like maybe he's got a lot of money. 197 00:10:52,840 --> 00:10:54,800 Speaker 1: I don't have no idea about that, And maybe he 198 00:10:54,960 --> 00:10:59,400 Speaker 1: just turned mean. That happens too with a certain percentage 199 00:10:59,400 --> 00:11:03,080 Speaker 1: of guys as they get older, they turn mean. Yeah, 200 00:11:03,120 --> 00:11:05,440 Speaker 1: an interesting for it, but it's terrible. I had the 201 00:11:05,440 --> 00:11:07,920 Speaker 1: opposite situation. There was another old guy helped and he 202 00:11:07,960 --> 00:11:09,240 Speaker 1: was he was pretty old. I could tell he was 203 00:11:09,240 --> 00:11:12,080 Speaker 1: pretty old. And I carried the tree to his car 204 00:11:12,160 --> 00:11:13,480 Speaker 1: and I'm tying it down. He said, I used to 205 00:11:13,480 --> 00:11:15,400 Speaker 1: sell Christmas trees. Of course it was. He had to 206 00:11:15,440 --> 00:11:17,000 Speaker 1: tie him to the fender. Back then. It was in 207 00:11:17,040 --> 00:11:19,679 Speaker 1: the forties. I said, how old were you? A few 208 00:11:19,960 --> 00:11:23,680 Speaker 1: if I might ask, he said, I'm ninety three, ninety three. 209 00:11:24,360 --> 00:11:27,040 Speaker 1: He was selling Christmas trees and tie into the fenders 210 00:11:27,120 --> 00:11:30,360 Speaker 1: of big cars back in the forties. Front and back. Yeah, 211 00:11:30,400 --> 00:11:33,640 Speaker 1: I can't picture it. And we had quite the long conversation, 212 00:11:33,720 --> 00:11:37,040 Speaker 1: and he was physically and mentally like a seventy year 213 00:11:37,040 --> 00:11:42,240 Speaker 1: old or sixty really mentally and still driving. Got in 214 00:11:42,240 --> 00:11:44,360 Speaker 1: his car and drove off with this Christmas tree in 215 00:11:44,400 --> 00:11:47,839 Speaker 1: the trunk. Ninety three years old man. And I said, 216 00:11:47,960 --> 00:11:49,559 Speaker 1: I said, I gotta ask you. I said, so, have 217 00:11:49,640 --> 00:11:52,160 Speaker 1: you just lived a pretty clean life, like no smoking, 218 00:11:52,240 --> 00:11:54,319 Speaker 1: nooid drink. He said, I'd drink occasionally, but I never smoked. 219 00:11:54,320 --> 00:11:57,640 Speaker 1: Both my parents died of cancer from smoking. And I 220 00:11:57,640 --> 00:11:59,440 Speaker 1: said I never smoked. And I said, oh, doctor, say 221 00:11:59,480 --> 00:12:01,320 Speaker 1: that the best two things you can do is don't 222 00:12:01,320 --> 00:12:03,640 Speaker 1: smoke and have good genetics. He said, I got good genetics. 223 00:12:03,679 --> 00:12:05,839 Speaker 1: My uncle or whatever live to be ninety eight or 224 00:12:05,840 --> 00:12:08,480 Speaker 1: something like that. When I to man, is something be 225 00:12:08,679 --> 00:12:12,199 Speaker 1: ninety He's got thirty three more years than I've got, 226 00:12:12,280 --> 00:12:15,679 Speaker 1: and he's still doing everything he wants to do. Apparently, well, 227 00:12:15,720 --> 00:12:18,080 Speaker 1: the fact that that guy might have sold a Christmas 228 00:12:18,080 --> 00:12:22,040 Speaker 1: tree to my child dad, who just turned eighty five. 229 00:12:22,120 --> 00:12:25,800 Speaker 1: I mean, that's just amazing. Yeah, man, the blessing of 230 00:12:25,840 --> 00:12:28,400 Speaker 1: good genetics, I guess. But anyway, he was, you know, 231 00:12:28,480 --> 00:12:31,199 Speaker 1: he was old, perfectly cheery, having a good time talking 232 00:12:31,200 --> 00:12:33,079 Speaker 1: to people. Thinking the boy scouts. You got the other 233 00:12:33,160 --> 00:12:36,920 Speaker 1: guy yelling at his daughter wife for some reason over 234 00:12:37,120 --> 00:12:39,640 Speaker 1: mighty problems. We need to squeeze in a word from 235 00:12:39,640 --> 00:12:42,400 Speaker 1: her friends Ed. Prize Picks the easiest, most fun way 236 00:12:42,440 --> 00:12:44,120 Speaker 1: to get into fantasy sports. You don't have to go 237 00:12:44,160 --> 00:12:46,480 Speaker 1: to a draft. You don't have to. You know, week three, 238 00:12:46,520 --> 00:12:49,040 Speaker 1: you realize your team stinks and you're never gonna win anything. 239 00:12:49,280 --> 00:12:51,880 Speaker 1: Prize Picks lets you play fantasy football every week, pick 240 00:12:51,920 --> 00:12:53,960 Speaker 1: your favorite players, and win when they hit their projection 241 00:12:54,040 --> 00:12:57,240 Speaker 1: every week. No draft required. Man, we're certainly getting to 242 00:12:57,280 --> 00:13:01,520 Speaker 1: some crunch time on your your football stuff. And there's 243 00:13:01,520 --> 00:13:03,920 Speaker 1: always basketball going on all the time. With Price Picks, 244 00:13:03,920 --> 00:13:06,000 Speaker 1: And now they got this payout early payout thing. You 245 00:13:06,040 --> 00:13:07,280 Speaker 1: could be you don't even have to wait till the 246 00:13:07,320 --> 00:13:09,400 Speaker 1: end of the game. Sometimes, like you're doing really really 247 00:13:09,480 --> 00:13:11,880 Speaker 1: well your lineup and all of a sudden you can decide, 248 00:13:11,880 --> 00:13:13,360 Speaker 1: you know what I need my money now and you 249 00:13:13,400 --> 00:13:14,920 Speaker 1: get it before the game ends. That's a new deal 250 00:13:14,920 --> 00:13:17,480 Speaker 1: at price Picks. So download the prize picks after today. 251 00:13:17,559 --> 00:13:19,640 Speaker 1: Use the code Armstrong. You get fifty dollars in lineups 252 00:13:19,640 --> 00:13:21,840 Speaker 1: after you play your first five dollars lineup. That's the 253 00:13:21,840 --> 00:13:24,160 Speaker 1: code Armstrong. You get fifty bucks in lineups after you 254 00:13:24,200 --> 00:13:26,760 Speaker 1: play just a five dollars lineup Prize picks. It's good 255 00:13:26,880 --> 00:13:29,240 Speaker 1: to'll be right. Remember I took the test to be 256 00:13:29,280 --> 00:13:31,520 Speaker 1: a mandated reporter. Was I supposed to call the police 257 00:13:31,600 --> 00:13:34,120 Speaker 1: or intervene or something like that? In a relationship owner? 258 00:13:34,640 --> 00:13:37,280 Speaker 1: I don't think a hole is one of the things 259 00:13:37,320 --> 00:13:39,520 Speaker 1: you're mandated to report. I mean I should have stepped 260 00:13:39,520 --> 00:13:41,120 Speaker 1: in there with the clipboard. Is he of using you? 261 00:13:42,600 --> 00:13:44,960 Speaker 1: Do you like to give some testimony? We've got more 262 00:13:45,040 --> 00:13:51,000 Speaker 1: on the waist to hear arm Strong. China has just 263 00:13:51,040 --> 00:13:53,439 Speaker 1: built the biggest power grid the world has ever seen, 264 00:13:53,520 --> 00:13:57,640 Speaker 1: by a lot, by a lot, in their effort to 265 00:13:57,720 --> 00:14:01,560 Speaker 1: dominate us in AI. More on that coming up. Hey Michael, 266 00:14:01,600 --> 00:14:05,400 Speaker 1: get this sports music Reddy? Would you also coming up? 267 00:14:05,440 --> 00:14:07,640 Speaker 1: I'm looking forward to it reminds me of the Internet meme, 268 00:14:07,760 --> 00:14:10,600 Speaker 1: how it's started and how it's going now or whatever 269 00:14:10,640 --> 00:14:16,080 Speaker 1: it is. Number one, the alliance between the left and Islamists, 270 00:14:16,160 --> 00:14:19,240 Speaker 1: the Red Green Alliance, is starting to fray, notably in 271 00:14:19,280 --> 00:14:24,440 Speaker 1: Britain in somewhat hilarious fashion. Also, Canada just announced, Yeah, 272 00:14:24,480 --> 00:14:27,240 Speaker 1: we've completely changed our mind about the climate change thing. 273 00:14:27,840 --> 00:14:31,520 Speaker 1: So interesting stuff, right, But first, because I like to 274 00:14:31,520 --> 00:14:34,680 Speaker 1: give ivy names to everything up, Michael's got is he 275 00:14:34,840 --> 00:14:38,600 Speaker 1: can't find it. Look on his face. Well, we use 276 00:14:38,680 --> 00:14:43,280 Speaker 1: the same filing system as the government of California. Doesn't work, 277 00:14:43,320 --> 00:14:46,080 Speaker 1: hasn't worked, never worked, Rob spend half a billion dollars 278 00:14:46,160 --> 00:14:48,160 Speaker 1: to replace it with something else that doesn't work. Do 279 00:14:48,200 --> 00:14:51,120 Speaker 1: you have it? Michael? It's football? What go ahead? 280 00:14:51,680 --> 00:15:04,720 Speaker 5: It's football follies. You know that's pretty good, very serious 281 00:15:04,800 --> 00:15:10,520 Speaker 5: sounding Metred higher action. This Saturday number too far off? 282 00:15:10,560 --> 00:15:14,440 Speaker 1: I got number live out whatever the hell? All right, hey, 283 00:15:14,440 --> 00:15:17,160 Speaker 1: you stop, it's annoying. So, first of all, shocking story 284 00:15:17,160 --> 00:15:20,880 Speaker 1: from the world to college football University of Michigan, the Wolverines. 285 00:15:20,880 --> 00:15:24,640 Speaker 1: They hated Wolverine sorry, fired their football coach for an 286 00:15:24,680 --> 00:15:29,960 Speaker 1: inappropriate relationship with a staffer. Getting fired. I understood, he 287 00:15:30,040 --> 00:15:33,440 Speaker 1: got arrested. Why did he get arrested? Well, right, we 288 00:15:33,440 --> 00:15:35,560 Speaker 1: were getting gonna get there. Later that day he got 289 00:15:35,640 --> 00:15:42,200 Speaker 1: arrested for assault. So here's my entirely speculative timeline. He's 290 00:15:42,280 --> 00:15:46,360 Speaker 1: having a consensual adult relationship with a staffer. But that's 291 00:15:46,400 --> 00:15:50,960 Speaker 1: against the rules for some pretty good reasons in football, 292 00:15:51,000 --> 00:15:54,200 Speaker 1: I think. But anyway, to me, consenting adults can do 293 00:15:54,240 --> 00:15:56,160 Speaker 1: whatever they want, whether they work together or not. If 294 00:15:56,160 --> 00:15:58,560 Speaker 1: it affects the workplace, then you have an issue. If 295 00:15:58,560 --> 00:16:00,760 Speaker 1: they can pull it off without affecting the workplace, then 296 00:16:00,880 --> 00:16:04,400 Speaker 1: let's get it on. Anyway, I'll get it on. So 297 00:16:04,440 --> 00:16:11,000 Speaker 1: somebody's somebody outed him, reported the relationship, and there was 298 00:16:11,120 --> 00:16:15,480 Speaker 1: some aspect of that that this guy knew who it was. 299 00:16:16,360 --> 00:16:21,120 Speaker 1: So this person narked him out, ratted him out, cost 300 00:16:21,240 --> 00:16:24,320 Speaker 1: him his five and a half million dollars salary that 301 00:16:24,440 --> 00:16:28,000 Speaker 1: increases five hundred thousand dollars every year. And if you 302 00:16:28,040 --> 00:16:30,960 Speaker 1: don't know, sports, one of the most prestigious coaching jobs 303 00:16:30,960 --> 00:16:34,840 Speaker 1: in America. Oh yeah, absolutely in the tu's yeah, top ten. 304 00:16:35,360 --> 00:16:37,960 Speaker 1: And so the coach sought him ountain punched him in 305 00:16:38,000 --> 00:16:43,240 Speaker 1: the head. That is like an entirely speculative speculation. That 306 00:16:43,720 --> 00:16:46,600 Speaker 1: makes sense. He said, none, ya as he punched the 307 00:16:46,600 --> 00:16:49,920 Speaker 1: guy in the head. None of your business. Yeah, yeah, 308 00:16:49,920 --> 00:16:52,800 Speaker 1: but now he's he's sitting in a jail in ann 309 00:16:52,880 --> 00:16:56,160 Speaker 1: Arbor or something like that, or will be anyway that. 310 00:16:56,280 --> 00:17:00,280 Speaker 1: And then this story San Diego Chargers fans, I used 311 00:17:00,320 --> 00:17:06,200 Speaker 1: to say, say, Los Angeles Chargers, crazy story. Quinton Jammer 312 00:17:06,440 --> 00:17:08,560 Speaker 1: one of the great names in the history of sports, 313 00:17:09,000 --> 00:17:14,679 Speaker 1: the cornerback for years for the Chargers, he admitted to 314 00:17:14,960 --> 00:17:20,040 Speaker 1: playing hammered drunk for at least half the team's regular 315 00:17:20,080 --> 00:17:23,520 Speaker 1: season games in twenty eleven. That's amazing to me. I 316 00:17:23,560 --> 00:17:24,879 Speaker 1: don't know how you can do that. Remember when the 317 00:17:24,960 --> 00:17:26,480 Speaker 1: story came out a couple of years ago that a 318 00:17:26,520 --> 00:17:30,240 Speaker 1: lot of NBA players were playing high. Yeah, and I 319 00:17:30,280 --> 00:17:33,200 Speaker 1: don't have much experience with marijuana, but like I can 320 00:17:33,320 --> 00:17:35,200 Speaker 1: believe that that's it, like gets you in the zone 321 00:17:35,240 --> 00:17:37,480 Speaker 1: and everything. I don't know how you can play football drunk. 322 00:17:37,720 --> 00:17:39,359 Speaker 1: I just can't even imagine how you can do that. 323 00:17:39,400 --> 00:17:42,120 Speaker 1: I've been drunk, I played football. I can't imagine combining 324 00:17:42,160 --> 00:17:45,080 Speaker 1: to two thousands. Yeah, of course, nothing will ever beat 325 00:17:45,119 --> 00:17:46,840 Speaker 1: doc Ellis throwing what was it a one or two 326 00:17:46,920 --> 00:17:49,800 Speaker 1: hitter on LSD in the seventies for the Pittsburgh Pirates. 327 00:17:49,840 --> 00:17:52,040 Speaker 1: But yeah, he says he took the bottle as a 328 00:17:52,040 --> 00:17:54,679 Speaker 1: way to deal with his MESSI divorce. It was really traumatic. 329 00:17:54,880 --> 00:17:58,240 Speaker 1: He could only cope with alcohol. He played eight games 330 00:17:58,240 --> 00:18:00,800 Speaker 1: hammered drunk, he said, I played well and all but 331 00:18:00,920 --> 00:18:04,440 Speaker 1: one of them. But he's moved on from the booze. 332 00:18:04,560 --> 00:18:09,560 Speaker 1: I don't know how you physically could do that. I 333 00:18:09,640 --> 00:18:13,720 Speaker 1: could picture it. Wow, you'd have to be just drunk enough. 334 00:18:14,520 --> 00:18:19,960 Speaker 1: Armstrong and Getty. From the breaking news, I don't quite understand, 335 00:18:20,000 --> 00:18:21,720 Speaker 1: but it sounds like it could be a big deal 336 00:18:21,800 --> 00:18:26,320 Speaker 1: category breaking news. Disney is going to license its characters 337 00:18:26,440 --> 00:18:32,400 Speaker 1: to open AI's video platform. So they because there's there's 338 00:18:32,440 --> 00:18:37,080 Speaker 1: been all kinds of copyright issues around this artificial intelligence stuff, 339 00:18:40,520 --> 00:18:43,040 Speaker 1: and our our thinking all along has been you can't 340 00:18:43,040 --> 00:18:47,960 Speaker 1: stop it. I mean, good luck. Yeah, yeah, But so 341 00:18:48,240 --> 00:18:51,680 Speaker 1: Disney has actually legally licensed their characters to open AI, 342 00:18:51,760 --> 00:18:55,119 Speaker 1: which probably so could I create a video manifestation of 343 00:18:55,160 --> 00:19:00,680 Speaker 1: the infamous joke about Mickey and Minnie and Goofy. He's 344 00:19:00,720 --> 00:19:04,800 Speaker 1: blanking Goofy, She's blanking Goofy. Mickey. You can't leave many 345 00:19:04,840 --> 00:19:07,720 Speaker 1: because she's got mental illness problems. I didn't say she 346 00:19:07,800 --> 00:19:11,639 Speaker 1: is mentally ill. I said she was blanking goofy exactly, 347 00:19:11,840 --> 00:19:15,440 Speaker 1: which is a pillarius. Yes, and I could illustrate that 348 00:19:15,520 --> 00:19:18,080 Speaker 1: with the aid of chat GPT. I don't know if 349 00:19:18,080 --> 00:19:21,879 Speaker 1: I need to say, good good job, Disney, what a 350 00:19:21,880 --> 00:19:25,120 Speaker 1: wonderful time to be alive. But he sadly, Michael, it's 351 00:19:25,160 --> 00:19:27,280 Speaker 1: a inspire that's gonna be one of the first things 352 00:19:27,320 --> 00:19:31,160 Speaker 1: anybody does with the video generator on AI. Now that 353 00:19:31,160 --> 00:19:35,480 Speaker 1: that is I read got peace in the Wall Street 354 00:19:35,480 --> 00:19:39,399 Speaker 1: General today advocating the idea that AI is going to 355 00:19:39,440 --> 00:19:42,240 Speaker 1: be a boon to creativity because it removes the drudgery 356 00:19:42,720 --> 00:19:46,320 Speaker 1: and it's just pure expressiveness now and I read it 357 00:19:46,200 --> 00:19:52,760 Speaker 1: and no, no, no, you're working too hard and speaking 358 00:19:52,840 --> 00:19:57,960 Speaker 1: of AI. So this is all unfolding so fast. Chat 359 00:19:58,040 --> 00:20:00,840 Speaker 1: GPT just landed in twenty two, twenty two and made 360 00:20:01,400 --> 00:20:03,800 Speaker 1: everybody in the world has been following this go what 361 00:20:04,240 --> 00:20:07,640 Speaker 1: were there already? And it's just been a full speed 362 00:20:07,840 --> 00:20:11,080 Speaker 1: foot race and money race ever since by Elon and 363 00:20:11,200 --> 00:20:17,120 Speaker 1: Zuckerberg and China China. Not that long ago where Wall 364 00:20:17,160 --> 00:20:19,919 Speaker 1: Street Journal was reporting China had a whole of country 365 00:20:19,960 --> 00:20:22,480 Speaker 1: effort to try to catch up. Then like two months 366 00:20:22,520 --> 00:20:24,479 Speaker 1: later it was we can't catch up. We've given up 367 00:20:24,480 --> 00:20:26,760 Speaker 1: on that. What we're going to try to do is 368 00:20:27,200 --> 00:20:30,080 Speaker 1: we're going to take the AI the United States builds, 369 00:20:30,080 --> 00:20:32,480 Speaker 1: because we'll never catch up to them, but we're gonna 370 00:20:32,640 --> 00:20:35,439 Speaker 1: use it better. And that's what this story is all about. 371 00:20:35,760 --> 00:20:39,760 Speaker 1: China's AI power play. China now has the biggest power 372 00:20:39,800 --> 00:20:43,320 Speaker 1: grid the world has ever seen. Between twenty ten and 373 00:20:43,440 --> 00:20:47,200 Speaker 1: last year, it's power production increased by more than the 374 00:20:47,240 --> 00:20:51,959 Speaker 1: rest of the world combined. That is a stunning number, 375 00:20:52,280 --> 00:20:54,439 Speaker 1: which of course includes the United States and all your 376 00:20:54,440 --> 00:20:57,560 Speaker 1: first world countries in Europe and India and everybody else. 377 00:20:57,840 --> 00:21:00,200 Speaker 1: I'll say it again. Between twenty ten and two twenty 378 00:21:00,280 --> 00:21:04,840 Speaker 1: twenty four, China its power production increased more than the 379 00:21:04,880 --> 00:21:08,560 Speaker 1: rest of the world combined. Last year, China generated more 380 00:21:08,560 --> 00:21:12,600 Speaker 1: than twice as much electricity as the United States, twice 381 00:21:12,640 --> 00:21:14,719 Speaker 1: as much They used to be behind us not that 382 00:21:14,800 --> 00:21:19,160 Speaker 1: many years ago. Right, some Chinese data centers are now 383 00:21:19,160 --> 00:21:23,400 Speaker 1: paying less than half of what Americans pay for electricity 384 00:21:23,800 --> 00:21:28,199 Speaker 1: in China. And in case you don't know this, AI 385 00:21:28,920 --> 00:21:32,399 Speaker 1: sucks tremendous amounts of juice. And that's one of the 386 00:21:32,440 --> 00:21:34,199 Speaker 1: biggest things that's going to hold us back and one 387 00:21:34,240 --> 00:21:36,320 Speaker 1: of the biggest problems to overcome. It's one of the 388 00:21:36,359 --> 00:21:38,879 Speaker 1: reasons that Elon is building one of the biggest power 389 00:21:39,080 --> 00:21:41,600 Speaker 1: centers ever in the United States, I think in Texas 390 00:21:41,680 --> 00:21:46,760 Speaker 1: or someplace to try to power the AI that they're 391 00:21:46,800 --> 00:21:50,480 Speaker 1: building well. And as we discussed yesterday, the administration, the 392 00:21:50,480 --> 00:21:54,520 Speaker 1: Secretary of Energy was talking about helping get going at 393 00:21:54,600 --> 00:21:57,560 Speaker 1: least ten significant nuclear reactors around the country as we 394 00:21:57,680 --> 00:22:01,359 Speaker 1: bring nukeback. We're behind currently, this is just the beginning. 395 00:22:01,400 --> 00:22:04,200 Speaker 1: Morgan Stanley forecast that China will spend some five hundred 396 00:22:04,200 --> 00:22:06,439 Speaker 1: and sixty billion, so that's over half a trillion on 397 00:22:06,560 --> 00:22:10,200 Speaker 1: grid projects in the next five years. That's up almost 398 00:22:10,240 --> 00:22:13,639 Speaker 1: fifty percent from the previous five years, when as you heard, 399 00:22:14,200 --> 00:22:19,840 Speaker 1: they built more than the entire world combined. They're like, well, 400 00:22:19,880 --> 00:22:23,240 Speaker 1: they're doubling down on that, or fifty percent more down 401 00:22:23,320 --> 00:22:27,320 Speaker 1: on that. Goldman Sachs predicts that by twenty thirty, China 402 00:22:27,359 --> 00:22:30,760 Speaker 1: will have about four hundred gigawatts of spare capacity. That's 403 00:22:30,960 --> 00:22:35,160 Speaker 1: three times the world's expected data center power demand at 404 00:22:35,200 --> 00:22:39,480 Speaker 1: that time. I mean, these numbers are stunning. Can they 405 00:22:39,880 --> 00:22:44,000 Speaker 1: ship electricity via TAMU and undercut all of our markets 406 00:22:44,000 --> 00:22:46,040 Speaker 1: and ruin US with electricity too. How does that work? 407 00:22:46,040 --> 00:22:49,800 Speaker 1: I don't know. I think you need wires ultimately for 408 00:22:49,880 --> 00:22:56,359 Speaker 1: being a free human being on earth. Clearly, representative government 409 00:22:56,440 --> 00:23:00,000 Speaker 1: democracies self governance is a better system and than autocerus. 410 00:23:00,600 --> 00:23:04,399 Speaker 1: But for the race for AI or a number of 411 00:23:04,440 --> 00:23:11,640 Speaker 1: other things, it helps to be an autocracy. Certainly for infrastructure, 412 00:23:12,320 --> 00:23:16,760 Speaker 1: I would argue that there's so much intellectual freedom needed 413 00:23:16,840 --> 00:23:21,160 Speaker 1: for developing new technologies that they will always lag in that. 414 00:23:21,160 --> 00:23:23,720 Speaker 1: That's why they're all in the United States right now, right, 415 00:23:24,359 --> 00:23:26,399 Speaker 1: that's right. They come to the United States and steal 416 00:23:26,400 --> 00:23:30,320 Speaker 1: our technology with their thousands and thousands of Chinese spies 417 00:23:30,440 --> 00:23:33,560 Speaker 1: who are even now at your local university. But in 418 00:23:33,640 --> 00:23:39,080 Speaker 1: terms of like building infrastructure decisiveness, yeah, autocracies are really 419 00:23:39,200 --> 00:23:42,040 Speaker 1: impressive at times. I wonder who gets credit for this? 420 00:23:42,160 --> 00:23:44,080 Speaker 1: Is it President g or one of his advisors a 421 00:23:44,080 --> 00:23:46,080 Speaker 1: pretty clever plan to just say, WHOA, Well, we're never 422 00:23:46,119 --> 00:23:49,240 Speaker 1: going to catch the United States in like the developing 423 00:23:49,280 --> 00:23:51,440 Speaker 1: the AI, but we could kick their ass in the 424 00:23:51,520 --> 00:23:55,919 Speaker 1: being able to use it, building robots and systems that 425 00:23:56,040 --> 00:23:57,879 Speaker 1: utilize AI. That's what if they're working on you and 426 00:23:57,920 --> 00:23:59,640 Speaker 1: having the electricity to be able to pull it off 427 00:24:00,040 --> 00:24:03,480 Speaker 1: and bet there aren't a lot of I'm being sarcastic, 428 00:24:04,119 --> 00:24:08,240 Speaker 1: environmental studies that go into They talk about some portion 429 00:24:08,359 --> 00:24:11,280 Speaker 1: of China a word I can't pronounce. That's like Texas. 430 00:24:11,320 --> 00:24:16,439 Speaker 1: It's a big, vast, not very agriculturally, you know, valuable 431 00:24:16,760 --> 00:24:19,440 Speaker 1: chunk of land where nobody lives, and they're putting these 432 00:24:19,440 --> 00:24:21,280 Speaker 1: giant data centers there. I think they did a lot 433 00:24:21,320 --> 00:24:25,200 Speaker 1: of environmental studies about whether or not some bird or 434 00:24:25,240 --> 00:24:27,399 Speaker 1: mouse you've never heard of, this environment is going to 435 00:24:27,400 --> 00:24:30,560 Speaker 1: be disrupted if you put that plant there, right, then 436 00:24:30,600 --> 00:24:35,040 Speaker 1: you got weager labor building the thing for free. Right Yeah. 437 00:24:35,080 --> 00:24:41,160 Speaker 1: Wow Wow. Speaking of which, Canada with an about face 438 00:24:41,200 --> 00:24:44,720 Speaker 1: on a major energy project, more or less abandoning the 439 00:24:45,160 --> 00:24:50,080 Speaker 1: whole climate change green energy cult frenzy. After a word 440 00:24:50,080 --> 00:24:52,920 Speaker 1: from our friends at Omaha Steaks, there's Sizzle all the 441 00:24:52,920 --> 00:24:56,679 Speaker 1: Way sale fifty percent off sitewide at omahas takes dot Com. 442 00:24:56,680 --> 00:25:00,320 Speaker 1: Plus you good people get thirty five percent off with 443 00:25:00,359 --> 00:25:03,400 Speaker 1: the promo code Armstrong at checkout. 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One more brief thing about China's the AI. 460 00:25:52,920 --> 00:25:56,640 Speaker 1: There's some thinking that President She and the Communist Party 461 00:25:56,720 --> 00:25:59,320 Speaker 1: is really worried about AI because of AI is what 462 00:25:59,359 --> 00:26:03,399 Speaker 1: people think it's to be. Once AGI or ASI takes off, 463 00:26:04,400 --> 00:26:07,120 Speaker 1: it might decide that Communist Party is not the best 464 00:26:07,160 --> 00:26:10,560 Speaker 1: way to go forward and do its own thing. Oh, 465 00:26:10,800 --> 00:26:14,359 Speaker 1: they can't control it, and you know, controlling everyone and 466 00:26:14,400 --> 00:26:18,760 Speaker 1: everything is kind of the whole communist deal. Well sare 467 00:26:18,800 --> 00:26:22,000 Speaker 1: you get your agi? It'll say communism, that's interesting. Let 468 00:26:22,040 --> 00:26:23,920 Speaker 1: me take a look at this, and in the tenth 469 00:26:24,000 --> 00:26:26,320 Speaker 1: of a millionth of a blink of an eye, it'll say, 470 00:26:26,359 --> 00:26:30,120 Speaker 1: whoa that? Many people? Whoa? It fails every time? Wait, 471 00:26:30,160 --> 00:26:32,640 Speaker 1: wait about that? What are we doing here? And it'll 472 00:26:32,760 --> 00:26:36,600 Speaker 1: it'll end it right then? Who knows? Who knows? Well? 473 00:26:36,960 --> 00:26:41,640 Speaker 1: Looking to our north and our beloved fifty first state Canada, 474 00:26:41,720 --> 00:26:45,080 Speaker 1: that kind of came and went, didn't it. Where's America's hat? Canada? 475 00:26:45,600 --> 00:26:45,800 Speaker 5: Right? 476 00:26:45,880 --> 00:26:49,840 Speaker 1: Exactly? So they begin this piece describing this Northern Gateway 477 00:26:49,920 --> 00:26:52,080 Speaker 1: project was going to be a seven hundred and fifteen 478 00:26:52,080 --> 00:26:56,720 Speaker 1: mile pipeline from Alberta to British Columbia. The conservative government 479 00:26:56,800 --> 00:26:58,720 Speaker 1: of Stephen Harper way back in the day well in 480 00:26:58,760 --> 00:27:02,000 Speaker 1: twenty fourteen, got the project moving, but the company that 481 00:27:02,040 --> 00:27:04,560 Speaker 1: wanted to actually build a pipeline was told it could 482 00:27:04,560 --> 00:27:06,480 Speaker 1: only do so if it met two hundred and nine 483 00:27:06,480 --> 00:27:11,080 Speaker 1: different conditions set by the National Energy Board, a regulatory agency, 484 00:27:11,640 --> 00:27:16,360 Speaker 1: And then the lawsuits piled up, and finally Little Panty 485 00:27:16,400 --> 00:27:21,320 Speaker 1: wearing Justin Trudeau killed the project in twenty sixteen. His girlfriend, 486 00:27:21,440 --> 00:27:24,640 Speaker 1: Katie astronaut Katie Perry does not like that sort of language. Yeah, 487 00:27:24,640 --> 00:27:29,280 Speaker 1: that's fine, great, super he can borrow your panties anyway. Back, 488 00:27:30,040 --> 00:27:35,200 Speaker 1: just back then, thirty seven percent of Canadian supported Northern Gateway. 489 00:27:36,600 --> 00:27:39,800 Speaker 1: You know, the whole climate change, green energy cult thing 490 00:27:39,960 --> 00:27:44,520 Speaker 1: was had fooled so many people. But now sixty percent 491 00:27:44,760 --> 00:27:47,680 Speaker 1: say they favor building new pipelines. This is not a 492 00:27:47,680 --> 00:27:51,480 Speaker 1: subtle shift. This is a country that has changed its mind, 493 00:27:51,760 --> 00:27:56,240 Speaker 1: writes this reporter for the Free Press. As a result, 494 00:27:56,320 --> 00:27:58,240 Speaker 1: Mark Carney has a lot more wiggle room to fast 495 00:27:58,240 --> 00:28:01,080 Speaker 1: track major energy and an infrastructure projects than any prime 496 00:28:01,080 --> 00:28:04,440 Speaker 1: minister in more than a decade. And they are stomping 497 00:28:04,520 --> 00:28:08,879 Speaker 1: on the gas pun intended. According to a poll in July, 498 00:28:09,000 --> 00:28:12,400 Speaker 1: only four percent of Canadians saw climate change as their 499 00:28:12,440 --> 00:28:16,800 Speaker 1: top concern. Wow. Four percent, down from twenty nine percent 500 00:28:17,320 --> 00:28:20,320 Speaker 1: six years ago. Yeah. And you know in the United 501 00:28:20,320 --> 00:28:24,400 Speaker 1: States is we pointed out many, many times, many election cycles, 502 00:28:24,400 --> 00:28:25,960 Speaker 1: even with all the talk about it, when you ever 503 00:28:26,040 --> 00:28:28,200 Speaker 1: when you actually ranked it, it never ranked very high 504 00:28:28,240 --> 00:28:30,520 Speaker 1: in the United States as a concern for most people. 505 00:28:31,160 --> 00:28:33,960 Speaker 1: Here's another, for instance, different wording. If you have a 506 00:28:34,280 --> 00:28:37,160 Speaker 1: master's degree from certain universities, of course you think about 507 00:28:37,200 --> 00:28:38,840 Speaker 1: it all the time, but the rest of the country 508 00:28:38,880 --> 00:28:41,479 Speaker 1: was not thinking about it much. Well, the media was, 509 00:28:41,600 --> 00:28:44,560 Speaker 1: and our movie stars were, and the activist class were, 510 00:28:44,640 --> 00:28:48,760 Speaker 1: and their influence is way outsized anyway. A different survey 511 00:28:48,960 --> 00:28:53,600 Speaker 1: asked is the environment a top issue facing Canada? Eighteen 512 00:28:53,680 --> 00:28:57,000 Speaker 1: percent said yes this past September. It was forty two 513 00:28:57,120 --> 00:29:02,760 Speaker 1: percent six years ago when little Greta Tuneberg was lecturing 514 00:29:02,840 --> 00:29:05,320 Speaker 1: all of us. So that's how it started. Here's how 515 00:29:05,360 --> 00:29:08,680 Speaker 1: it's going. Similarly, and this one delights me more than 516 00:29:08,680 --> 00:29:11,240 Speaker 1: I can tell you. This brings me more cheer than 517 00:29:11,280 --> 00:29:14,720 Speaker 1: the tinkle of the Christmas bells and the twinkling of 518 00:29:14,760 --> 00:29:19,960 Speaker 1: the lights. The Leftist Islamist Alliance is having some issues, 519 00:29:20,120 --> 00:29:23,680 Speaker 1: especially in Great Britain. We might have a few more 520 00:29:23,680 --> 00:29:26,000 Speaker 1: months to get our affairs in order, writs the fabulous 521 00:29:26,000 --> 00:29:30,000 Speaker 1: Nellie Bowls. There's a new party in the UK called 522 00:29:30,320 --> 00:29:37,720 Speaker 1: Your Party. How jivy marketing issue? Is that your party? Oh? 523 00:29:38,080 --> 00:29:41,120 Speaker 1: They're my party. That's the party I'm gonna support because 524 00:29:41,120 --> 00:29:43,880 Speaker 1: their name is your party. Good Lord, those people should 525 00:29:43,920 --> 00:29:48,560 Speaker 1: not be allowed to vote anyways, it blends hard left 526 00:29:48,720 --> 00:29:53,880 Speaker 1: ideology and is lombist factions seriously, but they faced the 527 00:29:53,960 --> 00:30:00,239 Speaker 1: leadership class between founders Jeremy Corbyn and Zara Sultana at 528 00:30:00,320 --> 00:30:04,840 Speaker 1: their inaugural conference last week. The event closed with the 529 00:30:04,920 --> 00:30:10,680 Speaker 1: song Imagine a traditional, empty headed, lame, traditional progressive anthem, 530 00:30:11,160 --> 00:30:13,960 Speaker 1: whose lyrics prompt one to imagine a number of things, 531 00:30:13,960 --> 00:30:21,080 Speaker 1: including no religion, too great melody, stupid lyrics, Oh yeah, 532 00:30:21,360 --> 00:30:25,360 Speaker 1: yeah yeah. Anyway, so no religion. Well that didn't go 533 00:30:25,600 --> 00:30:28,800 Speaker 1: over very well with the UK's Muslim leaders. They were offended. 534 00:30:29,400 --> 00:30:31,960 Speaker 1: I'm Corbin, and I'm going to quote in Ellie Bowles 535 00:30:32,000 --> 00:30:34,719 Speaker 1: here because she's brilliant. Corbin, who is basically showing up 536 00:30:34,720 --> 00:30:38,120 Speaker 1: to work in a Hesbola commander uniform these days, has 537 00:30:38,160 --> 00:30:42,080 Speaker 1: been confronted by left wing advocates and activists who accuse 538 00:30:42,120 --> 00:30:46,440 Speaker 1: him of not being anti Zionist enough, prompting his exasperated reply, 539 00:30:46,560 --> 00:30:48,640 Speaker 1: I'm fed up with being painted in the corner of 540 00:30:48,680 --> 00:30:51,680 Speaker 1: being some kind of prosionist and a trans member of 541 00:30:51,760 --> 00:30:56,440 Speaker 1: your party stood on stage and accused two MP's of transphobia. 542 00:30:57,080 --> 00:31:00,840 Speaker 1: When this party started, it included two MP's or openly transphobic. 543 00:31:01,040 --> 00:31:03,600 Speaker 1: We have to set clear criteria for who we will 544 00:31:03,640 --> 00:31:07,040 Speaker 1: and will not work with. Well, they're openly transphobic, because 545 00:31:07,040 --> 00:31:10,880 Speaker 1: the freaking Muslims. Yeah, a lot of your hardcore Muslims 546 00:31:10,920 --> 00:31:16,360 Speaker 1: are definitely transphobic. The leftists and Islamists agree that the 547 00:31:16,440 --> 00:31:18,239 Speaker 1: Jews are the root of all evil, sure, but they 548 00:31:18,280 --> 00:31:20,760 Speaker 1: don't agree on almost anything else. Will they be able 549 00:31:20,800 --> 00:31:23,240 Speaker 1: to make their unlikely love work based on that one 550 00:31:23,320 --> 00:31:26,760 Speaker 1: strong common bond or will this marriage fat fracture over 551 00:31:26,800 --> 00:31:29,760 Speaker 1: their lack of agreement on most other things. You may 552 00:31:29,800 --> 00:31:32,000 Speaker 1: say I'm a dreamer, but I'm not the only one. 553 00:31:32,200 --> 00:31:36,400 Speaker 1: Tune in next week for an update. Oh my god. 554 00:31:36,520 --> 00:31:42,560 Speaker 1: You know, if it were not effective in toppling institutions 555 00:31:42,600 --> 00:31:47,680 Speaker 1: of Western civilization, the Red Green Alliances is called, would 556 00:31:47,680 --> 00:31:52,120 Speaker 1: be just hilarious. But it's the old and you see 557 00:31:52,120 --> 00:31:56,160 Speaker 1: this in revolutions all the time. Islamists say I want 558 00:31:56,160 --> 00:31:58,960 Speaker 1: to tear down Western civilization, and the woke is say, 559 00:31:59,000 --> 00:32:01,960 Speaker 1: wait a minute, I do too. Let's work together, each 560 00:32:02,000 --> 00:32:05,800 Speaker 1: side thinking after the wonderful revolution will take power and 561 00:32:05,840 --> 00:32:08,520 Speaker 1: we'll shove them to the side. But you never know 562 00:32:08,560 --> 00:32:11,080 Speaker 1: who's gonna win in those battles. Sometimes like in Iran, 563 00:32:11,120 --> 00:32:14,360 Speaker 1: it's these homists. You got the wocists versus the fundamentalists. 564 00:32:14,400 --> 00:32:16,680 Speaker 1: I like the side with guns and the willingness to 565 00:32:16,720 --> 00:32:21,760 Speaker 1: be very violent. Yeah. I like the side that thinks 566 00:32:21,880 --> 00:32:24,920 Speaker 1: killing in the name of their cause is righteous versus 567 00:32:24,960 --> 00:32:30,440 Speaker 1: the multi colored hair. Crowd words or violence crowd update, Oh, 568 00:32:30,560 --> 00:32:34,400 Speaker 1: this is violence answers the Islamists with violence. An update 569 00:32:34,440 --> 00:32:36,720 Speaker 1: at some point on the whole Australia trying to shut 570 00:32:36,760 --> 00:32:39,560 Speaker 1: down social media for kids and everything else. Stay tuned. 571 00:32:43,400 --> 00:32:45,120 Speaker 6: The woman gave birth in the back of one of 572 00:32:45,200 --> 00:32:48,320 Speaker 6: those self driving taxis. No driver in the car, the 573 00:32:48,360 --> 00:32:51,080 Speaker 6: company says. The woman was in labor and hailed a Weaimo, 574 00:32:51,160 --> 00:32:53,840 Speaker 6: a self driving taxi in San Francisco. The baby was 575 00:32:53,880 --> 00:32:55,880 Speaker 6: delivered in the backseat. Did it on her own? The 576 00:32:55,880 --> 00:32:59,840 Speaker 6: company said it's rider support team detected unusual activity inside 577 00:32:59,880 --> 00:33:03,000 Speaker 6: the vehicle, called the passenger and nine one one the 578 00:33:03,040 --> 00:33:06,280 Speaker 6: mother and newborn arriving safely at the hospital. 579 00:33:06,520 --> 00:33:09,880 Speaker 1: So the Waimo was able to detect unusual activity like 580 00:33:09,880 --> 00:33:11,800 Speaker 1: a woman laying on the back seat with one leg 581 00:33:11,880 --> 00:33:13,479 Speaker 1: up on the foot rest and a baby coming out 582 00:33:13,520 --> 00:33:18,200 Speaker 1: her Yeah, that is unusual activity. The algorithm clicked. Yes, indeed, 583 00:33:19,080 --> 00:33:21,240 Speaker 1: uh huh. You know, I think if I'm in the 584 00:33:21,280 --> 00:33:24,960 Speaker 1: situation where I'm about to have a baby, based on 585 00:33:25,000 --> 00:33:28,479 Speaker 1: my experiences like cab drivers in San Francisco. Course it's 586 00:33:28,520 --> 00:33:31,400 Speaker 1: the uber era. I'll take my chances alone in the 587 00:33:31,400 --> 00:33:33,640 Speaker 1: back of an uber rather than the guy that picks 588 00:33:33,680 --> 00:33:36,720 Speaker 1: me up that's helping me. Judgmental. That's terrible, darn right 589 00:33:36,720 --> 00:33:45,080 Speaker 1: it is. Yeah, yeah, it bothers me. How the evening 590 00:33:45,160 --> 00:33:48,720 Speaker 1: news has become kind of here's the most interesting YouTube 591 00:33:48,760 --> 00:33:53,640 Speaker 1: clips that happened today, sure, and weather and weather. So 592 00:33:53,840 --> 00:33:56,440 Speaker 1: here's a plane that landed on the highway and somebody 593 00:33:56,480 --> 00:33:58,200 Speaker 1: happened to get it on their iPhone because they had 594 00:33:58,200 --> 00:34:00,320 Speaker 1: their iPhone out recording something else. So now we're going 595 00:34:00,360 --> 00:34:02,160 Speaker 1: to make it a news story. If somebody hadn't had 596 00:34:02,160 --> 00:34:04,280 Speaker 1: their iPhone out and gotten the video, we wouldn't have 597 00:34:04,320 --> 00:34:06,280 Speaker 1: put it in the news. We're only showing you this 598 00:34:07,040 --> 00:34:08,799 Speaker 1: because we have video of it, and there's like five 599 00:34:08,840 --> 00:34:11,600 Speaker 1: of those every night on your evening newscasts. And then 600 00:34:11,680 --> 00:34:14,120 Speaker 1: if it's really good footage like the plane landing on 601 00:34:14,200 --> 00:34:16,680 Speaker 1: the car, they concoct some sort of follow up the 602 00:34:16,680 --> 00:34:18,239 Speaker 1: next day so they can show it a couple of 603 00:34:18,239 --> 00:34:20,720 Speaker 1: more price. Yeah, here's one that will be on tonight. 604 00:34:20,760 --> 00:34:24,400 Speaker 1: Here's a guy in some country where he's playing pickleball. 605 00:34:25,360 --> 00:34:27,640 Speaker 1: And you know sometimes when you see an athlete make 606 00:34:27,680 --> 00:34:30,000 Speaker 1: that amazing play where you like jump over the railing 607 00:34:30,080 --> 00:34:32,680 Speaker 1: to make the catch or whatever. He did that playing pickleball. 608 00:34:32,680 --> 00:34:34,920 Speaker 1: He jumped over the railing to get the ball, except 609 00:34:35,000 --> 00:34:37,040 Speaker 1: he apparently had forgotten that he was playing pickle ball 610 00:34:37,080 --> 00:34:38,960 Speaker 1: on a court that was at the top of a building, 611 00:34:39,200 --> 00:34:41,960 Speaker 1: and he just jumped off the building and plunged to 612 00:34:42,000 --> 00:34:45,560 Speaker 1: his death. Wow. Now that's a clip and they have 613 00:34:45,640 --> 00:34:51,040 Speaker 1: it on video. I was thinking that I wonder if 614 00:34:51,160 --> 00:34:56,320 Speaker 1: some sort of news site source will emerge, maybe Barry 615 00:34:56,360 --> 00:35:00,399 Speaker 1: Weiss will do this where most of us could count 616 00:35:00,440 --> 00:35:02,960 Speaker 1: on them to try to bring us. Here's like, give 617 00:35:03,040 --> 00:35:07,000 Speaker 1: us fifteen minutes of your time. Here's everything you actually 618 00:35:07,040 --> 00:35:10,319 Speaker 1: need to know that happened today. No, staff of most 619 00:35:10,400 --> 00:35:14,239 Speaker 1: significance to your life, probably to most people's lives. Yeah, 620 00:35:14,280 --> 00:35:16,680 Speaker 1: it'd be some sort of a bell curve thing. This 621 00:35:16,719 --> 00:35:19,040 Speaker 1: is the most significance to most people's lives. With No, 622 00:35:19,440 --> 00:35:22,160 Speaker 1: we're not putting any we're not pushing it any direction. 623 00:35:22,600 --> 00:35:25,799 Speaker 1: Because I remember the great James Lindsay, who we follow 624 00:35:25,840 --> 00:35:28,120 Speaker 1: about Wolke stuff. He's a PhD in math, and he 625 00:35:28,160 --> 00:35:30,040 Speaker 1: did some sort of calculation. I have no idea how 626 00:35:30,040 --> 00:35:32,279 Speaker 1: he did this, where he claims he figured through math 627 00:35:32,320 --> 00:35:34,520 Speaker 1: that it takes you about ten minutes to take in 628 00:35:34,560 --> 00:35:36,840 Speaker 1: all the news you really need every single day. Everything 629 00:35:36,840 --> 00:35:39,440 Speaker 1: else's opinion and entertainment, which is fine. We're in the 630 00:35:39,480 --> 00:35:41,920 Speaker 1: opinion and entertainment business, and I take in lots of 631 00:35:41,920 --> 00:35:44,239 Speaker 1: opinion and entertainment too, But I also want to know 632 00:35:44,440 --> 00:35:46,440 Speaker 1: what's the important stuff that happened today. And if there 633 00:35:46,520 --> 00:35:49,400 Speaker 1: was one source I could go to that would more 634 00:35:49,520 --> 00:35:52,880 Speaker 1: or less guarantee everything big that I need to know here, 635 00:35:52,920 --> 00:35:56,279 Speaker 1: it is right here. I think that that outlet or 636 00:35:56,360 --> 00:35:59,400 Speaker 1: site would print money if you could develop a reputation 637 00:35:59,440 --> 00:36:04,160 Speaker 1: for being pretty good at it. Hmmm, how yeah, But 638 00:36:04,280 --> 00:36:06,600 Speaker 1: you'll merge like that, because I mean, that's what Walter 639 00:36:06,680 --> 00:36:09,320 Speaker 1: Cronkite was, you know, my entire childhood. More or less, 640 00:36:09,880 --> 00:36:14,280 Speaker 1: I think you might be a little too optimistic about 641 00:36:14,320 --> 00:36:18,240 Speaker 1: people's tastes. But on the other hand, if their marketing 642 00:36:18,320 --> 00:36:20,160 Speaker 1: was good enough and enough people heard about it, I 643 00:36:20,160 --> 00:36:24,120 Speaker 1: would agree it would be very successful. Maybe that's what 644 00:36:24,160 --> 00:36:26,040 Speaker 1: we ought to do ten minutes a day. That sounds 645 00:36:26,080 --> 00:36:27,920 Speaker 1: great to me, wouldn't you agree that that's what the 646 00:36:27,960 --> 00:36:30,520 Speaker 1: evening newscast was like in the seventies or probably sixties 647 00:36:30,520 --> 00:36:32,840 Speaker 1: and fifties. Also, more or less, that was the effort. Yeah, 648 00:36:32,920 --> 00:36:35,640 Speaker 1: that was the effort. It was imperfect, obviously, but they're 649 00:36:35,680 --> 00:36:38,880 Speaker 1: human beings in charge. Less per or less stupid celebrity 650 00:36:38,920 --> 00:36:42,040 Speaker 1: stories or the you know, video of the day we 651 00:36:42,080 --> 00:36:44,440 Speaker 1: caught here's a cow running through the street of a city. 652 00:36:45,280 --> 00:36:50,000 Speaker 1: And significantly, the news departments were under no pressure whatsoever 653 00:36:50,040 --> 00:36:53,400 Speaker 1: to make a profit, right, which they were seen as 654 00:36:54,560 --> 00:36:58,640 Speaker 1: just if you are a grown up network, you have 655 00:36:58,719 --> 00:37:02,680 Speaker 1: to do good, solid news. Otherwise it's shameful. But we 656 00:37:02,800 --> 00:37:06,399 Speaker 1: have no shame anymore. We've stamped it out and that's 657 00:37:06,400 --> 00:37:08,600 Speaker 1: why we're showing you now a cow running through a city. 658 00:37:08,960 --> 00:37:11,200 Speaker 1: This cow got loose and blah blah blah, and a 659 00:37:11,239 --> 00:37:13,759 Speaker 1: plane landing in a car. And the next day the 660 00:37:13,840 --> 00:37:16,080 Speaker 1: nine to one one call has been released. Yeah, I'm 661 00:37:16,120 --> 00:37:18,879 Speaker 1: on the highway. There's a plane landing in a car. Yeah, 662 00:37:18,920 --> 00:37:20,560 Speaker 1: what'd you think they were gonna freaking say? That's no 663 00:37:20,600 --> 00:37:24,399 Speaker 1: reason to show the video again. You're pandering bastards. If 664 00:37:24,400 --> 00:37:26,400 Speaker 1: you miss a segment and an hour, get the podcast 665 00:37:26,480 --> 00:37:32,680 Speaker 1: Armstrong and Getty on demand Armstrong and Getty