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 --> 00:00:10,200 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:17,680 Speaker 2: Armstrong and Jetty and He Armstrong and Yetty. 4 00:00:24,079 --> 00:00:26,759 Speaker 3: Patrick Mahomes out for the season. Mahomes suffering that torn 5 00:00:26,840 --> 00:00:29,400 Speaker 3: acl in the loss of the Chargers. Kansas City now 6 00:00:29,400 --> 00:00:32,879 Speaker 3: out of playoff contention, Mahomes is expected to need surgery, 7 00:00:32,920 --> 00:00:34,800 Speaker 3: but the Chiefs head coach Andy Reid now says the 8 00:00:34,800 --> 00:00:38,199 Speaker 3: Mahomes will get a second opinion before any surgery. 9 00:00:38,360 --> 00:00:42,320 Speaker 4: After a decade of winning the division every year and 10 00:00:42,400 --> 00:00:45,640 Speaker 4: showing up in the Super Bowl practically every year, the 11 00:00:45,720 --> 00:00:47,920 Speaker 4: Kansas City Chiefs are done. Some of you are excited 12 00:00:47,960 --> 00:00:51,000 Speaker 4: about that. Some of you are not the casual fan. 13 00:00:51,400 --> 00:00:53,840 Speaker 4: So many casual fans and Chiefs clothes that I've seen 14 00:00:53,880 --> 00:00:56,280 Speaker 4: around the country because they've been the number one team 15 00:00:56,360 --> 00:00:57,120 Speaker 4: for so long. 16 00:00:57,680 --> 00:01:00,880 Speaker 2: Nic But they're big star, really really hurt. God. 17 00:01:00,920 --> 00:01:03,520 Speaker 4: They got to be almost happy to have a break. 18 00:01:03,760 --> 00:01:06,560 Speaker 4: They've got to be after going deep in the playoffs 19 00:01:06,600 --> 00:01:08,520 Speaker 4: that many years in a row. You've i mean, they 20 00:01:08,600 --> 00:01:11,080 Speaker 4: played like an extra two seasons or something like that 21 00:01:11,360 --> 00:01:13,280 Speaker 4: over teams that weren't in the playoffs. You got to 22 00:01:13,319 --> 00:01:14,319 Speaker 4: be worn out. 23 00:01:14,680 --> 00:01:18,080 Speaker 1: I'm sure as guys who are fanatically competitive, they're disappointed. 24 00:01:18,160 --> 00:01:21,920 Speaker 1: But when they're relaxing watching football on the TV with 25 00:01:22,040 --> 00:01:24,800 Speaker 1: families and playing golf with buddies and no longer getting 26 00:01:24,800 --> 00:01:25,640 Speaker 1: a crap beat out of. 27 00:01:25,680 --> 00:01:28,080 Speaker 2: Them, they might think, yeah, this isn't so bad now, boys. 28 00:01:28,319 --> 00:01:31,560 Speaker 4: One of the kind of weird things that happened that 29 00:01:31,640 --> 00:01:35,000 Speaker 4: allowed Michael Jordan to have that six championship run was 30 00:01:35,040 --> 00:01:37,120 Speaker 4: he took a break in the middle. You don't usually 31 00:01:37,120 --> 00:01:39,840 Speaker 4: get to do that where you're not, you know, playing 32 00:01:39,840 --> 00:01:44,319 Speaker 4: an extra half a season every year and grinding yourself 33 00:01:44,360 --> 00:01:46,720 Speaker 4: down and having to focus so much. You get a break, 34 00:01:46,800 --> 00:01:48,880 Speaker 4: a sabbatical, come back and try it again. 35 00:01:49,480 --> 00:01:52,640 Speaker 2: Yeah yeah, huh. 36 00:01:52,720 --> 00:01:55,400 Speaker 4: If Patrick Mahons is hurt, hurt like uh, will never 37 00:01:55,480 --> 00:01:56,960 Speaker 4: be the same, that'd be a really big deal for 38 00:01:57,000 --> 00:01:57,480 Speaker 4: the league. 39 00:01:59,120 --> 00:02:01,360 Speaker 2: Uh yeah, yeah. Yeah. 40 00:02:01,400 --> 00:02:04,960 Speaker 1: It amazes me how guys bounce back from the serious 41 00:02:05,000 --> 00:02:08,200 Speaker 1: tendon tears, knee knee problems, knee surgery. 42 00:02:08,240 --> 00:02:08,800 Speaker 2: Is that sort of thing. 43 00:02:08,840 --> 00:02:11,520 Speaker 1: I think I would be terrified for the rest of 44 00:02:11,560 --> 00:02:13,480 Speaker 1: my life and taking the wrong step, And these guys 45 00:02:13,520 --> 00:02:16,519 Speaker 1: are eluding biamoths and getting smashed into But you see 46 00:02:16,520 --> 00:02:17,200 Speaker 1: it over and over again. 47 00:02:17,200 --> 00:02:18,680 Speaker 2: I wish him well, it seems like a really nice 48 00:02:18,720 --> 00:02:22,239 Speaker 2: young eluding Biamuth. Yeah, exactly. Should do we have a 49 00:02:22,280 --> 00:02:23,320 Speaker 2: little clip of white Christmas? 50 00:02:23,400 --> 00:02:23,520 Speaker 1: Now? 51 00:02:23,639 --> 00:02:26,680 Speaker 2: Yeah, we have a little little clip. Cool. I'm excited 52 00:02:26,680 --> 00:02:33,760 Speaker 2: about that Christmas. Legally, that's how. 53 00:02:33,760 --> 00:02:37,760 Speaker 1: Much we can play right for rules having to do 54 00:02:37,800 --> 00:02:40,200 Speaker 1: with licensing and podcasts and that sort of thing. But anyway, 55 00:02:40,680 --> 00:02:44,040 Speaker 1: I came across an absolutely wonderful, incredibly moving bit of 56 00:02:45,680 --> 00:02:48,760 Speaker 1: journalism writing thinking about that song, which is the top 57 00:02:48,800 --> 00:02:57,399 Speaker 1: selling single of all time and it's seven Is that correct? No, 58 00:02:57,600 --> 00:03:00,960 Speaker 1: it is not, actually, but that's kind part of the story. 59 00:03:01,200 --> 00:03:04,040 Speaker 1: It was recorded in nineteen forty as part of the 60 00:03:04,120 --> 00:03:11,280 Speaker 1: music for Holiday In and the Molly in the Hotel. No, 61 00:03:11,760 --> 00:03:14,280 Speaker 1: it's no, that's the name of the movie. I think 62 00:03:14,320 --> 00:03:19,000 Speaker 1: the hotel chain came afterward. Interestingly, the movie Oh my god, 63 00:03:19,280 --> 00:03:21,919 Speaker 1: it's my wife's favorite movie. Really, I don't I don't 64 00:03:21,919 --> 00:03:24,040 Speaker 1: know if I've never even heard of holiday In. It's 65 00:03:24,040 --> 00:03:26,280 Speaker 1: practically on a loop during the Holiday Show kid. 66 00:03:26,840 --> 00:03:27,080 Speaker 2: Yeah. 67 00:03:27,320 --> 00:03:30,320 Speaker 1: Anyway, so it's it's one of the several popular songs 68 00:03:30,320 --> 00:03:34,200 Speaker 1: from that movie. But by the time the Christmas season 69 00:03:34,320 --> 00:03:40,920 Speaker 1: the movie came out in nineteen forty two because of 70 00:03:40,960 --> 00:03:42,720 Speaker 1: production delays and that sort of thing. But anyway, it 71 00:03:42,720 --> 00:03:47,440 Speaker 1: came out in nineteen forty two. And what modern folks 72 00:03:47,640 --> 00:03:51,280 Speaker 1: don't realize is that, much like the song I'll be 73 00:03:51,360 --> 00:03:55,960 Speaker 1: Home for Christmas, the fame and the emotional weight of 74 00:03:56,000 --> 00:03:59,280 Speaker 1: the song had everything to do with World War Two. 75 00:04:00,120 --> 00:04:05,400 Speaker 1: We had hundreds of thousands of guys overseas and the 76 00:04:05,520 --> 00:04:09,680 Speaker 1: song and the thoughts of snowy treetops and carefree children 77 00:04:10,200 --> 00:04:13,760 Speaker 1: were an incredible comfort, kind of a bittersweet comfort to 78 00:04:13,800 --> 00:04:18,120 Speaker 1: the guys fighting overseas. Servicemen requested it again and again 79 00:04:18,200 --> 00:04:21,960 Speaker 1: and again on our Armed Forces radio, and it was 80 00:04:22,000 --> 00:04:24,440 Speaker 1: the top selling song of the year. 81 00:04:25,960 --> 00:04:27,120 Speaker 2: In nineteen forty two. 82 00:04:28,160 --> 00:04:34,360 Speaker 1: And then in a twenty sixteen article, Howard Crosby was 83 00:04:34,400 --> 00:04:38,320 Speaker 1: Ben Crosby's nephew, told a story about being He said, 84 00:04:38,360 --> 00:04:41,280 Speaker 1: I once asked Bing about the most difficult thing he 85 00:04:41,360 --> 00:04:44,599 Speaker 1: had ever had to do during his entertainment career. He said, 86 00:04:44,640 --> 00:04:47,280 Speaker 1: in December nineteen forty four, he was in a USO 87 00:04:47,480 --> 00:04:50,720 Speaker 1: show with Bob Hope and the Andrews Sisters. They did 88 00:04:50,760 --> 00:04:53,640 Speaker 1: an outdoor shore show in northern France. At the end 89 00:04:53,640 --> 00:04:55,320 Speaker 1: of the show, he had to stand there and sing 90 00:04:55,360 --> 00:04:59,960 Speaker 1: White Christmas with one hundred thousand gis and tears without 91 00:05:00,080 --> 00:05:03,640 Speaker 1: breaking down himself. And of course a lot of those 92 00:05:03,640 --> 00:05:05,400 Speaker 1: boys were killed in the Battle of the Bulge a 93 00:05:05,400 --> 00:05:06,200 Speaker 1: few days later. 94 00:05:07,400 --> 00:05:12,080 Speaker 2: Yeah. Oof. And that feeling of longing. 95 00:05:11,680 --> 00:05:15,920 Speaker 1: For home and the people at home longing for their 96 00:05:16,000 --> 00:05:19,080 Speaker 1: men overseas and women in some cases nurses, and that 97 00:05:19,120 --> 00:05:23,159 Speaker 1: sort of thing was part of why that song had 98 00:05:23,200 --> 00:05:27,040 Speaker 1: such enormous weight for people emotionally and why you know, 99 00:05:27,120 --> 00:05:28,760 Speaker 1: it's also just a beautiful, beautiful song. 100 00:05:28,800 --> 00:05:30,640 Speaker 2: Well most one of the reasons it's as huge as 101 00:05:30,640 --> 00:05:30,880 Speaker 2: it is. 102 00:05:31,080 --> 00:05:34,000 Speaker 4: Obviously, it is because it's still very popular to hear 103 00:05:34,040 --> 00:05:36,120 Speaker 4: around Christmas time, and we ain't thinking about World War 104 00:05:36,160 --> 00:05:38,320 Speaker 4: Two when we're hearing it right when I heard it 105 00:05:38,320 --> 00:05:38,960 Speaker 4: for the first time. 106 00:05:39,680 --> 00:05:43,560 Speaker 1: Well, interestingly, a final note on this, because of the 107 00:05:43,600 --> 00:05:47,360 Speaker 1: way records were manufactured back in the day, the song 108 00:05:47,440 --> 00:05:51,880 Speaker 1: became so popular after the war that Decca Records wore 109 00:05:51,920 --> 00:05:56,000 Speaker 1: out the original master tape by nineteen forty seven and 110 00:05:56,120 --> 00:06:00,160 Speaker 1: summoned Bing to re record the version, which is the 111 00:06:00,160 --> 00:06:03,120 Speaker 1: one we know and love today. Okay, so that's why 112 00:06:03,240 --> 00:06:05,640 Speaker 1: when I played it off Apple Music the other day, 113 00:06:05,720 --> 00:06:08,000 Speaker 1: it said nineteen forty seven, they had to. 114 00:06:07,920 --> 00:06:12,159 Speaker 2: Re record it, Yeah, exactly. I wonder how similar it 115 00:06:12,200 --> 00:06:13,440 Speaker 2: is to the original. 116 00:06:14,880 --> 00:06:18,039 Speaker 1: Substantially, I would guess. I don't imagine they'd mess with it. 117 00:06:18,080 --> 00:06:18,919 Speaker 1: But that's a good question. 118 00:06:19,000 --> 00:06:19,400 Speaker 2: I don't know. 119 00:06:20,680 --> 00:06:23,160 Speaker 1: If I were in charge of Decat Records, I'd say 120 00:06:23,240 --> 00:06:25,400 Speaker 1: I want the same freaking guys playing violin. 121 00:06:26,000 --> 00:06:28,720 Speaker 2: Don't change anything. They wore out the original. 122 00:06:29,680 --> 00:06:34,840 Speaker 1: Yeah, yeah, they re released it so many times. White 123 00:06:34,880 --> 00:06:38,400 Speaker 1: Christmas is available to stream on Amazon Prime. Amazon soon 124 00:06:38,440 --> 00:06:42,960 Speaker 1: to be in charge of everything on Earth that's Amazon anyway. 125 00:06:43,040 --> 00:06:43,240 Speaker 2: Yeah. 126 00:06:43,279 --> 00:06:46,479 Speaker 1: I remember hearing years ago about I'll be Home for Christmas, 127 00:06:46,520 --> 00:06:49,000 Speaker 1: which you know most people think of is, oh, yeah, 128 00:06:49,000 --> 00:06:51,520 Speaker 1: I wanted to drive back to Kansas or whatever, see 129 00:06:51,600 --> 00:06:54,159 Speaker 1: the folks, No, my god. It was about being in 130 00:06:54,200 --> 00:06:57,400 Speaker 1: a fox hole and wanting to live long enough to 131 00:06:57,440 --> 00:06:58,479 Speaker 1: be home for Christmas. 132 00:06:58,680 --> 00:07:00,880 Speaker 2: I'll be home for Christmas, if only in my dreams. 133 00:07:00,880 --> 00:07:02,000 Speaker 2: That was all about the troops. 134 00:07:02,320 --> 00:07:04,240 Speaker 4: I've been doing like probably a lot of people are doing, 135 00:07:04,279 --> 00:07:07,280 Speaker 4: where you just kind of get a general Spotify or 136 00:07:07,320 --> 00:07:10,640 Speaker 4: Apple Music or Iron Music or whatever you're using Christmas 137 00:07:11,480 --> 00:07:14,040 Speaker 4: music list, and it gives you and it's got everything 138 00:07:14,160 --> 00:07:17,920 Speaker 4: from Bing Crosby and forty seven singing White Christmas to 139 00:07:18,040 --> 00:07:22,240 Speaker 4: Ariana Grande singing some pop Christmas song now and everything 140 00:07:22,280 --> 00:07:28,400 Speaker 4: in between, and they vary a lot. And I like 141 00:07:28,480 --> 00:07:31,720 Speaker 4: the older classics classics? Is that just because I'm old? 142 00:07:31,920 --> 00:07:34,200 Speaker 4: I mean I like the stuff that was all recorded 143 00:07:34,240 --> 00:07:38,200 Speaker 4: before I was born. Mostly, Yeah, as opposed to anything 144 00:07:38,240 --> 00:07:38,840 Speaker 4: more modern. 145 00:07:38,880 --> 00:07:39,520 Speaker 2: But that's just me. 146 00:07:40,000 --> 00:07:43,080 Speaker 1: I'd rather have a reindeer gormy in my chestnuts than 147 00:07:43,120 --> 00:07:47,240 Speaker 1: hear the latest Ariana Grande Christmas song. Please well, give 148 00:07:47,280 --> 00:07:51,440 Speaker 1: me Andy Williams, give me Bing, give me Dean Martin. 149 00:07:51,600 --> 00:07:54,680 Speaker 4: Has that Mariah Carey song made it to the standard 150 00:07:54,680 --> 00:07:56,680 Speaker 4: list yet, because that came out a long time ago, 151 00:07:56,720 --> 00:08:00,440 Speaker 4: and that's a very very big hit for Christmas music present. 152 00:08:01,120 --> 00:08:04,080 Speaker 4: I keep hearing the what was the one where they 153 00:08:04,160 --> 00:08:06,080 Speaker 4: raised money for starving kids in Africa? 154 00:08:06,320 --> 00:08:09,760 Speaker 2: That one? I keep hearing that a lot. Yeah, do 155 00:08:10,640 --> 00:08:14,960 Speaker 2: they know it's Christmas by band Aid? Mm hmm. It's 156 00:08:15,040 --> 00:08:15,720 Speaker 2: catchy tune. 157 00:08:15,760 --> 00:08:19,960 Speaker 4: It is a very catchy tune, and the cause kind 158 00:08:19,960 --> 00:08:22,119 Speaker 4: of like came and went quickly, but it's very catchy 159 00:08:22,200 --> 00:08:22,760 Speaker 4: Christmas song. 160 00:08:23,200 --> 00:08:27,040 Speaker 1: It's actually the lyrics are very dopey if you listen 161 00:08:27,120 --> 00:08:29,920 Speaker 1: to them, because they completely ignore the fact that a 162 00:08:30,480 --> 00:08:33,040 Speaker 1: they may be vaguely aware that it's Christmas both most 163 00:08:33,080 --> 00:08:36,439 Speaker 1: of them are Muslims, so do they know it's Christmas 164 00:08:36,440 --> 00:08:39,760 Speaker 1: time at all? They're Muslims, they're starving Muslims, They're not. 165 00:08:40,200 --> 00:08:43,880 Speaker 1: It isn't that they're starving, it's that they're Muslims. With 166 00:08:43,920 --> 00:08:47,480 Speaker 1: all due respect to Bono and members of various groovy 167 00:08:47,520 --> 00:08:52,000 Speaker 1: groups back in the day, Wham whatever, Huey Lewis, who 168 00:08:52,000 --> 00:08:55,320 Speaker 1: has a lovely turn in it, Cindy Lauper at all, 169 00:08:55,679 --> 00:08:56,440 Speaker 1: but their hearts were. 170 00:08:56,360 --> 00:08:56,840 Speaker 2: In the right place. 171 00:08:56,880 --> 00:08:59,920 Speaker 1: They're trying to do good, anti money for starving pape 172 00:09:00,240 --> 00:09:03,480 Speaker 1: what come on? But again, the lyrics kind it dumb. Yeah, 173 00:09:03,480 --> 00:09:04,959 Speaker 1: that's a good point. I don't know if that was 174 00:09:05,000 --> 00:09:06,600 Speaker 1: pointed out at the time. I don't think it was. 175 00:09:07,280 --> 00:09:10,360 Speaker 1: We acted like everybody in Africa's starving, had a Christmas 176 00:09:10,360 --> 00:09:14,880 Speaker 1: tree up pushing they had food. Part of that was true. 177 00:09:15,000 --> 00:09:17,480 Speaker 1: Half of that was true. That's true, the other not 178 00:09:17,559 --> 00:09:20,079 Speaker 1: so much. Why are we raising money for the Scouts 179 00:09:20,080 --> 00:09:22,679 Speaker 1: this week? Well, I'll explain that in a little bit 180 00:09:22,720 --> 00:09:25,679 Speaker 1: and see where we are. We have a gender is 181 00:09:25,720 --> 00:09:26,720 Speaker 1: it a gender benning madness? 182 00:09:26,760 --> 00:09:27,839 Speaker 2: We got this hour? Yes, sir. 183 00:09:27,920 --> 00:09:30,079 Speaker 1: Gender Bending Menace update at the bottom of the hour. Oh, 184 00:09:30,120 --> 00:09:34,959 Speaker 1: it's a blockbuster. It explains so much of the social 185 00:09:35,080 --> 00:09:40,480 Speaker 1: contagion of adolescence identifying as transgender and the nightmare of 186 00:09:40,520 --> 00:09:45,319 Speaker 1: then activist adults mutilating them because they're momentarily confused. I 187 00:09:45,720 --> 00:09:48,880 Speaker 1: there ought to be trials for this and soon. Oh, 188 00:09:48,960 --> 00:09:50,760 Speaker 1: the job's numbers are out too. We ought to touch 189 00:09:50,760 --> 00:09:57,920 Speaker 1: on that. Maybe we'll get to that soon. Stay here, yo, yo, 190 00:09:58,000 --> 00:10:00,040 Speaker 1: how you doing so? 191 00:10:00,160 --> 00:10:02,040 Speaker 4: The theory is this time of year we try to 192 00:10:02,120 --> 00:10:05,480 Speaker 4: raise money for something good, and I know for me, 193 00:10:05,679 --> 00:10:07,640 Speaker 4: it's the idea that I'm spending a lot of money 194 00:10:07,640 --> 00:10:09,920 Speaker 4: on myself and my kids and indulgence and that sort 195 00:10:09,960 --> 00:10:13,720 Speaker 4: of stuff, and so throw some money toward a little 196 00:10:13,720 --> 00:10:16,319 Speaker 4: making the world a better place seems like a good idea. 197 00:10:18,040 --> 00:10:20,240 Speaker 4: And we're trying to raise money for Scouting and hoping 198 00:10:20,240 --> 00:10:21,920 Speaker 4: to raise a hundred thousand dollars. We got a bunch 199 00:10:22,000 --> 00:10:25,080 Speaker 4: of texts yesterday and various people like this thank you 200 00:10:25,120 --> 00:10:27,240 Speaker 4: for choosing to support Scouting. Two of my sons are 201 00:10:27,240 --> 00:10:30,000 Speaker 4: Eagle Scouts, and one is very close Now. My husband 202 00:10:30,000 --> 00:10:32,520 Speaker 4: and I have committed to volunteering with Scouting from Tiger 203 00:10:32,559 --> 00:10:35,520 Speaker 4: Scouting all the way up until now. Man, Like a 204 00:10:35,640 --> 00:10:40,560 Speaker 4: lot of things ban programs, youth sports, scouting, the way 205 00:10:40,600 --> 00:10:43,520 Speaker 4: I'm seeing parents, moms and dads, the amount of time 206 00:10:43,920 --> 00:10:47,240 Speaker 4: that they put into this, whether it's going on some 207 00:10:47,280 --> 00:10:49,679 Speaker 4: of the camping trips, or being at the meetings, or 208 00:10:51,320 --> 00:10:53,520 Speaker 4: running some of the various merit badges and stuff like that, 209 00:10:53,559 --> 00:10:54,520 Speaker 4: and now of course for free. 210 00:10:54,600 --> 00:10:55,360 Speaker 2: You know, you're all. 211 00:10:55,360 --> 00:10:58,800 Speaker 4: Donating your time. Just tremendous amount of time involved. Very impressive. Anyway, 212 00:10:58,920 --> 00:11:00,600 Speaker 4: I agree with your comments of out how it makes 213 00:11:00,679 --> 00:11:04,800 Speaker 4: responsible little adults little by little over time with the program. 214 00:11:04,840 --> 00:11:07,520 Speaker 4: My boys have been well prepared for interviewing for jobs 215 00:11:07,520 --> 00:11:09,439 Speaker 4: and attending college. And I believe a large part of 216 00:11:09,480 --> 00:11:12,800 Speaker 4: it is because of their scouting experience. And we've got 217 00:11:12,800 --> 00:11:16,000 Speaker 4: a lot of stuff about well this one for instance, 218 00:11:16,240 --> 00:11:18,480 Speaker 4: the experience in being a good citizen, learning how to 219 00:11:18,520 --> 00:11:20,920 Speaker 4: serve the community and help others, which I really really like, 220 00:11:22,360 --> 00:11:24,800 Speaker 4: and I mentioned since my son joined scouting, I think 221 00:11:24,800 --> 00:11:26,600 Speaker 4: it's the best thing that has happened in his life. 222 00:11:27,080 --> 00:11:30,240 Speaker 4: And I've seen kids that were sixteen years old that 223 00:11:30,280 --> 00:11:32,679 Speaker 4: seem like they're twenty eight years old. And I feel 224 00:11:32,679 --> 00:11:35,040 Speaker 4: like in the modern world. I see the reverse most often. 225 00:11:35,160 --> 00:11:37,280 Speaker 4: I see twenty eight year olds who seem like they're sixteen. 226 00:11:39,120 --> 00:11:42,120 Speaker 1: Yeah, you know, And I don't want to go into 227 00:11:42,120 --> 00:11:44,520 Speaker 1: this much that we've had some people express concern about 228 00:11:44,559 --> 00:11:47,440 Speaker 1: certain changes in recent years at the Scouts and stuff. 229 00:11:47,320 --> 00:11:51,360 Speaker 1: But as a force for a good, particularly in lives 230 00:11:51,360 --> 00:11:54,480 Speaker 1: of young boys and young men, it's just indisputable that 231 00:11:54,559 --> 00:11:59,320 Speaker 1: it is that, and it's important and it gives it's 232 00:11:59,400 --> 00:12:00,920 Speaker 1: so good for how many. 233 00:12:00,800 --> 00:12:03,200 Speaker 4: Organizations are still saying the pledge of the Allegiance and 234 00:12:03,520 --> 00:12:05,559 Speaker 4: doing the flag ceremony if the US flag and all 235 00:12:05,559 --> 00:12:08,520 Speaker 4: that sort of stuff. Anyway, we're raising money. We're gonna 236 00:12:08,520 --> 00:12:10,000 Speaker 4: do an update here in a second, so we do 237 00:12:10,080 --> 00:12:12,200 Speaker 4: the thing when we raise money where you can either 238 00:12:12,360 --> 00:12:14,240 Speaker 4: can we explain why we're raising money to do what? 239 00:12:15,280 --> 00:12:18,560 Speaker 4: Oh right, so more kids can join. So it costs 240 00:12:18,600 --> 00:12:19,959 Speaker 4: some money to be in. It's gonna be at least 241 00:12:19,960 --> 00:12:21,760 Speaker 4: a couple of hundred dollars to get your kids signed up, 242 00:12:21,800 --> 00:12:24,520 Speaker 4: and some people just decide I can't afford that. And 243 00:12:24,600 --> 00:12:27,240 Speaker 4: so this is basically scholarships to be to be able to, 244 00:12:27,800 --> 00:12:30,120 Speaker 4: you know, say hey, we'll cover that Scouting and be 245 00:12:30,120 --> 00:12:32,040 Speaker 4: able to say hey, we'll cover that for a whole 246 00:12:32,080 --> 00:12:34,120 Speaker 4: bunch of different kids so that they can get signed 247 00:12:34,160 --> 00:12:36,880 Speaker 4: up and you know, get this leadership opportunities or learn 248 00:12:36,920 --> 00:12:38,600 Speaker 4: the pledge of allegiance because they're not teaching them to 249 00:12:38,640 --> 00:12:40,400 Speaker 4: you a school or whatever. 250 00:12:40,559 --> 00:12:42,720 Speaker 1: Right instead of having them on the streets with the 251 00:12:42,760 --> 00:12:44,520 Speaker 1: streets being their mentors. 252 00:12:44,600 --> 00:12:45,000 Speaker 2: Not good. 253 00:12:45,080 --> 00:12:46,880 Speaker 4: But we always do this thing where you can donate 254 00:12:46,920 --> 00:12:48,880 Speaker 4: with your name, you can donate anonymously, or you can 255 00:12:48,880 --> 00:12:51,440 Speaker 4: come up with a funny name. For instance, Jack's Wet 256 00:12:51,480 --> 00:12:53,320 Speaker 4: Sheets donated two hundred and sixty dollars. 257 00:12:53,320 --> 00:12:57,880 Speaker 2: I appreciate that's your comforter technically right, Gavin needs it more? 258 00:12:59,080 --> 00:13:02,120 Speaker 2: Twenty five bucks? Is that like it? Like? Yeah, are 259 00:13:02,120 --> 00:13:04,280 Speaker 2: you getting any like that kind of needs it more? 260 00:13:04,440 --> 00:13:08,920 Speaker 2: Hell is going on? No? I don't know either, Gavin. Um, 261 00:13:09,440 --> 00:13:10,920 Speaker 2: there's one more funny one I wanted to get to. 262 00:13:10,960 --> 00:13:12,560 Speaker 2: Where didn't that go? Hip? 263 00:13:12,600 --> 00:13:18,880 Speaker 4: Anonymous? And like the hippopotamus? I guess one hundred bucks? Oh, 264 00:13:18,920 --> 00:13:22,280 Speaker 4: our boss dropped the hundred bucks. Thank you to our boss, Steve. 265 00:13:22,480 --> 00:13:23,079 Speaker 4: Thank you very much. 266 00:13:23,080 --> 00:13:23,559 Speaker 2: Thanks Steve. 267 00:13:23,880 --> 00:13:26,920 Speaker 1: Appreciate here's how much good betes roll your little uh 268 00:13:27,040 --> 00:13:27,840 Speaker 1: drum roll for us. 269 00:13:27,840 --> 00:13:32,240 Speaker 2: Will you should learn that as there. 270 00:13:32,280 --> 00:13:35,200 Speaker 1: We were training there in Dunkirk, World War One veteran Gladys. 271 00:13:35,240 --> 00:13:36,160 Speaker 1: Thank you for your service. 272 00:13:37,800 --> 00:13:40,959 Speaker 2: Thirty eight and eighteen dollars. There you go, thirty eight 273 00:13:41,000 --> 00:13:45,840 Speaker 2: thousand dollars. We're barely two days in. Everyone's gonna help 274 00:13:45,840 --> 00:13:48,200 Speaker 2: a lot of kids to have a lot of great experiences. 275 00:13:49,120 --> 00:13:51,040 Speaker 4: We're exposed to a lot of people, a lot of 276 00:13:51,080 --> 00:13:53,079 Speaker 4: stations all over the place. If you just go to 277 00:13:53,160 --> 00:13:55,480 Speaker 4: Armstrong and getdy dot com, twenty five bucks. Come on, 278 00:13:55,520 --> 00:13:57,000 Speaker 4: you're gonna spend that much when you go through the 279 00:13:57,000 --> 00:13:58,200 Speaker 4: Starbucks drive through today. 280 00:13:58,320 --> 00:14:03,360 Speaker 1: Twenty five bucks, fifty bucks something again, pittances, Oh, Armstrong 281 00:14:03,400 --> 00:14:05,079 Speaker 1: a getty dot com donate now. 282 00:14:05,120 --> 00:14:06,160 Speaker 2: The button's super easy. 283 00:14:06,880 --> 00:14:09,720 Speaker 4: I wonder if Hay to find had you heard any 284 00:14:10,679 --> 00:14:13,000 Speaker 4: spin on the jobs numbers that are out today? 285 00:14:13,520 --> 00:14:15,400 Speaker 1: Number, so I attempted to take them in. It's a 286 00:14:15,400 --> 00:14:17,560 Speaker 1: full time job trying to understand the jobs numbers. 287 00:14:17,679 --> 00:14:21,320 Speaker 4: Yeah, the US added sixty four thousand jobs in November. 288 00:14:22,560 --> 00:14:26,320 Speaker 4: The unemployment rate rose a little bit. It's four point 289 00:14:26,440 --> 00:14:30,160 Speaker 4: six percent. It's the highest in four years, fueling questions 290 00:14:30,160 --> 00:14:35,760 Speaker 4: about America's economy underlying strength. All Right, it's always all 291 00:14:35,800 --> 00:14:37,960 Speaker 4: the numbers that come out every month, are always fueling questions. 292 00:14:38,040 --> 00:14:38,440 Speaker 2: Of course, the. 293 00:14:40,040 --> 00:14:44,080 Speaker 1: Federal government employees employment shrank by six thousand November, adding 294 00:14:44,080 --> 00:14:46,040 Speaker 1: to a massive loss of one hundred and sixty two 295 00:14:46,080 --> 00:14:50,280 Speaker 1: thousand federal jobs in October. Federal government employment is down 296 00:14:50,280 --> 00:14:52,480 Speaker 1: by two hundred and seventy one thousand since January. Yeah, 297 00:14:52,880 --> 00:14:55,480 Speaker 1: I'm reminded of how enormous the federal government is. 298 00:14:55,680 --> 00:14:58,800 Speaker 4: Well, the adding of sixty four thousand jobs was ahead 299 00:14:58,920 --> 00:15:01,840 Speaker 4: of the expectation, which I don't get that whole thing, 300 00:15:01,880 --> 00:15:04,080 Speaker 4: but they were expecting forty five and they got sixty four, 301 00:15:04,160 --> 00:15:05,000 Speaker 4: So you bought. 302 00:15:05,000 --> 00:15:08,720 Speaker 1: The unemployment rate rose more than expected. That's what I'm 303 00:15:08,760 --> 00:15:15,120 Speaker 1: telling That's what my little joke about a full time job. Overall, 304 00:15:15,120 --> 00:15:17,760 Speaker 1: economists describe the current labor market as a low fire, 305 00:15:17,880 --> 00:15:19,080 Speaker 1: low higher environment. 306 00:15:19,840 --> 00:15:26,920 Speaker 2: That's good because it rhymes. That is true. 307 00:15:27,120 --> 00:15:28,760 Speaker 4: They put a lot of work into making sure you 308 00:15:28,840 --> 00:15:31,040 Speaker 4: got rhyming phrases or alliteration. 309 00:15:31,680 --> 00:15:34,880 Speaker 1: Sure, alliteration is very important. Oh, that reminds me. Had 310 00:15:34,880 --> 00:15:36,680 Speaker 1: we had a pre show meeting tipping point? 311 00:15:36,920 --> 00:15:37,120 Speaker 2: What? 312 00:15:37,280 --> 00:15:40,560 Speaker 1: Oh boy, we had a pre show meeting worthy You know, 313 00:15:40,640 --> 00:15:43,000 Speaker 1: I was somewhat annoyed by the fact that the gender 314 00:15:43,040 --> 00:15:45,360 Speaker 1: Bending Madness Update, which is coming up in just a 315 00:15:45,400 --> 00:15:48,560 Speaker 1: couple of minutes and it's a blockbuster, also has it 316 00:15:48,720 --> 00:15:52,040 Speaker 1: shares the word madness with a campus Madness update, and 317 00:15:52,840 --> 00:15:56,640 Speaker 1: Katie decided or suggested campus chaos update. 318 00:15:56,720 --> 00:15:58,280 Speaker 2: I like that. That's a good So that's the new. 319 00:15:58,240 --> 00:16:00,320 Speaker 1: Name, and it's got a literation, so that makes it 320 00:16:00,360 --> 00:16:00,920 Speaker 1: more true. 321 00:16:01,960 --> 00:16:04,080 Speaker 2: Is that the way it works? Yes? Oh yeah, with 322 00:16:04,240 --> 00:16:06,360 Speaker 2: the rimes are right, Yeah, everybody knows that. 323 00:16:06,440 --> 00:16:09,320 Speaker 1: So anyway, we certainly hope you're gainfully employed if you'd 324 00:16:09,360 --> 00:16:10,880 Speaker 1: like to be, and if you're not, we wish you well. 325 00:16:12,280 --> 00:16:13,840 Speaker 2: Been there, done that, hated it. 326 00:16:16,600 --> 00:16:19,600 Speaker 4: So the three big stories, they got a new lead 327 00:16:19,720 --> 00:16:22,280 Speaker 4: in the search for the Brown University shooter. Okay, I 328 00:16:22,320 --> 00:16:26,320 Speaker 4: think that is going to be turned out to be disappointingly, 329 00:16:26,440 --> 00:16:31,880 Speaker 4: frustratingly mundane and just another kind of crazy, adjacent, angry 330 00:16:31,920 --> 00:16:35,040 Speaker 4: person who decided to kill people. Those stories are horrifying. 331 00:16:35,080 --> 00:16:37,280 Speaker 4: I don't know what we do about that. In the 332 00:16:37,600 --> 00:16:41,960 Speaker 4: Rob Reiner story, his son is going to be charged 333 00:16:42,000 --> 00:16:46,360 Speaker 4: with murder probably today, a couple murders. And the only 334 00:16:46,720 --> 00:16:49,360 Speaker 4: greater significance I can see to that story is what 335 00:16:49,400 --> 00:16:51,600 Speaker 4: do we do with drug addicts? Who are out there 336 00:16:51,600 --> 00:16:54,160 Speaker 4: on the street and we know they're drug addicts and 337 00:16:54,200 --> 00:16:58,520 Speaker 4: they're dangerous, and they they're still doing the thing. 338 00:16:58,560 --> 00:16:59,760 Speaker 2: What do we do with that crowd? 339 00:17:00,240 --> 00:17:03,640 Speaker 1: If that young man couldn't be saved by compassion and 340 00:17:03,680 --> 00:17:07,360 Speaker 1: rehab and money, what do we do right. 341 00:17:07,440 --> 00:17:09,360 Speaker 4: For the average person on the street where you don't 342 00:17:09,359 --> 00:17:11,760 Speaker 4: have even close to the resources to throw at them. 343 00:17:12,440 --> 00:17:14,680 Speaker 4: That's the big question about the Rob Reiner thing. To me, 344 00:17:14,800 --> 00:17:18,360 Speaker 4: that's what we should be discussing rather than his celebrity. 345 00:17:19,600 --> 00:17:20,760 Speaker 1: Armstrong and Getty. 346 00:17:22,520 --> 00:17:25,080 Speaker 2: I hope your Christmas is holly and jolly. I really 347 00:17:25,160 --> 00:17:29,679 Speaker 2: do again. It rhymes, so it's more true. That's what 348 00:17:29,720 --> 00:17:30,520 Speaker 2: we've discovered. 349 00:17:30,960 --> 00:17:34,040 Speaker 1: Hey, how about a gender bending madness update. Oh it's 350 00:17:34,040 --> 00:17:34,719 Speaker 1: the blockbuster. 351 00:17:34,960 --> 00:17:41,640 Speaker 2: I kept hearing about this thing called by the loco. 352 00:17:42,480 --> 00:17:49,159 Speaker 2: We're a brave among sane people. 353 00:17:51,040 --> 00:17:53,560 Speaker 1: The craze, the trend feels like it's over, but man 354 00:17:53,720 --> 00:17:57,159 Speaker 1: institutions are doubling down on the madness. Uh, there's all 355 00:17:57,200 --> 00:17:59,280 Speaker 1: sorts of stuff to get to, so leticious dive right in. 356 00:17:59,359 --> 00:18:03,000 Speaker 1: First of all, a transidentified male serving a twenty two 357 00:18:03,080 --> 00:18:05,840 Speaker 1: year sentence for the violent murder of his own mother 358 00:18:06,440 --> 00:18:10,439 Speaker 1: was quietly transferred into a minimum security Illinois women's prison 359 00:18:10,680 --> 00:18:14,400 Speaker 1: with a mother baby unit. John Wesley Finegan, who began 360 00:18:14,440 --> 00:18:18,160 Speaker 1: calling himself Hannah Dagne in twenty fourteen, approximately five years 361 00:18:18,200 --> 00:18:20,200 Speaker 1: into his prison term, was transferred to. 362 00:18:20,160 --> 00:18:22,120 Speaker 2: The Kush Women's Prison. Wow. 363 00:18:22,160 --> 00:18:26,800 Speaker 1: Recently, yes, a story that ten years ago, every human 364 00:18:26,840 --> 00:18:29,359 Speaker 1: on earth would have said, what, that's the stupidest. 365 00:18:28,800 --> 00:18:29,360 Speaker 4: Thing I've ever heard. 366 00:18:29,400 --> 00:18:34,120 Speaker 2: Again, you got to undo that before ten years from 367 00:18:34,119 --> 00:18:34,960 Speaker 2: now they'll say. 368 00:18:34,760 --> 00:18:37,120 Speaker 4: It, or ten years ago women's groups should have been 369 00:18:38,200 --> 00:18:39,640 Speaker 4: marching over that sort of thing. 370 00:18:40,160 --> 00:18:42,240 Speaker 2: Absolutely outraged. 371 00:18:43,160 --> 00:18:45,920 Speaker 1: Another tidbit here, a shortest story than I'm going to 372 00:18:45,960 --> 00:18:47,400 Speaker 1: get to the main thing I wanted to get to. 373 00:18:47,440 --> 00:18:48,919 Speaker 2: But a. 374 00:18:51,040 --> 00:18:55,200 Speaker 1: Woman's group has been formed at Cambridge University, The Cambridge 375 00:18:55,280 --> 00:18:58,479 Speaker 1: University Society of Women, an association for female students at 376 00:18:58,520 --> 00:19:01,160 Speaker 1: the university, quote providing a place for free speech, discussion 377 00:19:01,240 --> 00:19:05,840 Speaker 1: and association among women. Here's the problem, they said, no women, 378 00:19:06,080 --> 00:19:08,120 Speaker 1: biologic biological sex is. 379 00:19:08,119 --> 00:19:09,160 Speaker 2: Real and immutable. 380 00:19:09,480 --> 00:19:12,960 Speaker 1: In other words, men who call themselves trans cannot become women, 381 00:19:13,000 --> 00:19:17,560 Speaker 1: therefore cannot join the Cambridge University Society of Women. Within 382 00:19:17,680 --> 00:19:21,120 Speaker 1: forty eight hours of its founding, more than thirty other 383 00:19:21,280 --> 00:19:26,680 Speaker 1: societies at Cambridge had signed a document denouncing it. This 384 00:19:26,760 --> 00:19:31,800 Speaker 1: is in the present day, friends, So on the universities 385 00:19:31,840 --> 00:19:35,919 Speaker 1: in some governments Blue states, they are pushing this stuff hard. 386 00:19:36,440 --> 00:19:38,000 Speaker 2: We need to push back. 387 00:19:40,040 --> 00:19:43,480 Speaker 1: The groups who signed the agreement to decriede quote feminism 388 00:19:43,520 --> 00:19:49,440 Speaker 1: without intersectionality as not effective, considerate, or productive and reiterated 389 00:19:49,480 --> 00:19:52,720 Speaker 1: that the underside organizations quote are safe spaces for transgender 390 00:19:52,920 --> 00:19:56,840 Speaker 1: and gender queer students. Soon after that, of petition circulated 391 00:19:57,040 --> 00:20:01,840 Speaker 1: on campus to ban the society completely. And the gal 392 00:20:01,880 --> 00:20:05,280 Speaker 1: who founded it as an undergraduate where, who says where 393 00:20:05,359 --> 00:20:07,600 Speaker 1: unless you supported what she called the omni cause of 394 00:20:07,640 --> 00:20:11,080 Speaker 1: progressive dogma, you're in the intellectual minority claiming sex based 395 00:20:11,119 --> 00:20:13,720 Speaker 1: rights and pointing to sex based depression by extension. That 396 00:20:13,840 --> 00:20:16,240 Speaker 1: was such a bad view to hold, she said, speaking 397 00:20:16,280 --> 00:20:20,160 Speaker 1: of her experience in undergrad unbelievable. But here's the part 398 00:20:20,160 --> 00:20:23,400 Speaker 1: I really wanted to get to about the social contagion 399 00:20:23,400 --> 00:20:27,880 Speaker 1: of adolescent girls identifying as transgender or whatever queer. 400 00:20:27,600 --> 00:20:29,160 Speaker 2: Because it's hot, it's hip. 401 00:20:30,600 --> 00:20:32,800 Speaker 1: And then we pointed out the study that came out 402 00:20:32,800 --> 00:20:35,760 Speaker 1: fairly recently. Over the past decade, the number of young 403 00:20:35,760 --> 00:20:39,640 Speaker 1: Americans identifying as transgender non binary rose sharply then declined 404 00:20:40,040 --> 00:20:42,320 Speaker 1: just as sharply cut. 405 00:20:42,080 --> 00:20:45,400 Speaker 2: In half in the space like two years. That's amazing. 406 00:20:46,359 --> 00:20:51,880 Speaker 1: This pattern invites an obvious political story transgender identification fell 407 00:20:51,880 --> 00:20:54,640 Speaker 1: out of fashion due to a cultural backlash, or it's 408 00:20:54,680 --> 00:20:57,480 Speaker 1: a lesser and or it's lesser prominence and left wing politics. 409 00:20:57,600 --> 00:21:00,920 Speaker 1: But there's another more subtle explanation for the pattern. And 410 00:21:00,960 --> 00:21:03,320 Speaker 1: this is the part that I found super interesting. As 411 00:21:03,400 --> 00:21:07,200 Speaker 1: we all right try to understand human beings, we're such 412 00:21:07,200 --> 00:21:12,480 Speaker 1: a weird species. It's all about the dynamics of signaling. 413 00:21:12,720 --> 00:21:17,080 Speaker 1: In a crowded social environment, human beings spend a surprising 414 00:21:17,119 --> 00:21:20,440 Speaker 1: amount of time sending in decoding signals about who we are, 415 00:21:21,000 --> 00:21:24,080 Speaker 1: what we value, and where we stand. We've talked about 416 00:21:24,080 --> 00:21:26,719 Speaker 1: this jack a lot, you know, virtue signaling and tribal 417 00:21:26,720 --> 00:21:29,920 Speaker 1: messaging and stuff like that. Most of these signals entail 418 00:21:30,080 --> 00:21:34,320 Speaker 1: costs we are willing to bear, like time, money, social risks, 419 00:21:34,359 --> 00:21:40,080 Speaker 1: sometimes even bodily alteration. And they mentioned various examples various cultures. 420 00:21:40,440 --> 00:21:44,320 Speaker 1: The central claim of signaling theory, which was developed independently 421 00:21:44,320 --> 00:21:48,960 Speaker 1: in economics and evolutionary biology, interestingly enough, is that costly 422 00:21:49,119 --> 00:21:53,480 Speaker 1: signals are a more reliable indicator of underlying traits or 423 00:21:53,480 --> 00:21:54,960 Speaker 1: commitments than cheap ones. 424 00:21:56,200 --> 00:21:57,160 Speaker 2: This is because. 425 00:21:56,960 --> 00:21:59,960 Speaker 1: Cheap signals can be easily faked by those who don't 426 00:22:00,000 --> 00:22:04,920 Speaker 1: I won't possess the relevant traits. For example, and this 427 00:22:05,000 --> 00:22:08,199 Speaker 1: is an animal example from you know, evolutionary biology, the 428 00:22:08,280 --> 00:22:11,240 Speaker 1: peacock grows colorful and elaborate plumage to signal to the 429 00:22:11,240 --> 00:22:14,640 Speaker 1: PN that it is capable of surviving despite being encumbered 430 00:22:14,680 --> 00:22:16,400 Speaker 1: with such a handicap. Don't worry, I'll bring it home 431 00:22:16,400 --> 00:22:19,199 Speaker 1: to human being. So when it comes to gender, the 432 00:22:19,200 --> 00:22:23,399 Speaker 1: same principle applies. Declaring an identity is a low cost 433 00:22:23,640 --> 00:22:27,760 Speaker 1: signal to show that you're down with the group, that 434 00:22:27,800 --> 00:22:31,920 Speaker 1: you're progressive, that you're woke. It costs you practically nothing, 435 00:22:32,000 --> 00:22:34,920 Speaker 1: especially when it's a craze as compared to say, undertaking 436 00:22:35,000 --> 00:22:39,280 Speaker 1: medical transition or changing your legal documentation, or living in 437 00:22:39,320 --> 00:22:43,160 Speaker 1: ways that carry social and professional risks. Individuals who incur 438 00:22:43,480 --> 00:22:48,240 Speaker 1: those costs actually get surgery, for instance, send stronger, hard 439 00:22:48,240 --> 00:22:53,120 Speaker 1: to fake signals. Hence, when signaling environment changes when too 440 00:22:53,160 --> 00:22:56,560 Speaker 1: many others are sending that week easy to fake signal, 441 00:22:57,000 --> 00:23:01,320 Speaker 1: the payoff shifts. You don't get any credit for it anymore, 442 00:23:02,680 --> 00:23:06,359 Speaker 1: and so we see a fall in transgender identification. In 443 00:23:06,440 --> 00:23:09,720 Speaker 1: other words, you're a thirteen year old girl, do you 444 00:23:09,760 --> 00:23:11,760 Speaker 1: want to show you're down with the trans thing and 445 00:23:11,800 --> 00:23:14,200 Speaker 1: the queer thing and you're no bigot, and you're woke 446 00:23:14,280 --> 00:23:15,800 Speaker 1: and you're modern and the rest of it. 447 00:23:16,080 --> 00:23:18,000 Speaker 2: You say, yeah, I'm gender queer. 448 00:23:17,960 --> 00:23:20,879 Speaker 1: Even though you have no sexual thoughts whatsoever, or maybe 449 00:23:20,920 --> 00:23:22,560 Speaker 1: just you're an adolescent. 450 00:23:23,880 --> 00:23:24,720 Speaker 2: But then when. 451 00:23:24,640 --> 00:23:27,879 Speaker 1: Everybody's doing it, you don't get any credit for it anymore, 452 00:23:28,240 --> 00:23:30,680 Speaker 1: and the only reason you're saying it is for the 453 00:23:30,760 --> 00:23:35,280 Speaker 1: social credit. So you see a rate of transgender identification 454 00:23:35,600 --> 00:23:40,800 Speaker 1: plunge in an impossibly short time if it was all sincere. 455 00:23:41,000 --> 00:23:43,359 Speaker 4: I'm trying to think of an example of it on 456 00:23:43,440 --> 00:23:48,879 Speaker 4: the right, because you know, everybody's susceptible to the wanting 457 00:23:48,920 --> 00:23:51,280 Speaker 4: to signal to their group. Hey, I'm part of the group. 458 00:23:52,119 --> 00:23:55,840 Speaker 4: What would be an example of a like a difficult 459 00:23:55,960 --> 00:23:58,520 Speaker 4: to do signal that shows I'm really down as opposed 460 00:23:58,520 --> 00:24:00,520 Speaker 4: to a week and you know, driving a big is 461 00:24:00,520 --> 00:24:00,880 Speaker 4: that one? 462 00:24:00,960 --> 00:24:03,520 Speaker 2: I don't I don't know what it would be. Oh, 463 00:24:03,560 --> 00:24:05,560 Speaker 2: that's a really good question. I would have to newtilance 464 00:24:05,560 --> 00:24:06,200 Speaker 2: through for a while. 465 00:24:06,680 --> 00:24:08,879 Speaker 1: If anybody can come up with anything, drop us a 466 00:24:09,000 --> 00:24:11,680 Speaker 1: text four one, five, two nine five KFTC or for 467 00:24:11,840 --> 00:24:13,960 Speaker 1: one all right, I'm sorry a mailbag and I'm strong 468 00:24:13,960 --> 00:24:18,560 Speaker 1: egiddy dot com. So they've got a couple more examples. 469 00:24:18,600 --> 00:24:22,040 Speaker 1: I think you'd probably get it at this point. The 470 00:24:22,200 --> 00:24:25,160 Speaker 1: university degree is often less about the content of Shakespeare 471 00:24:25,280 --> 00:24:29,560 Speaker 1: metaphysics than about demonstrating traits like intelligence, persistence, and conformity. 472 00:24:29,680 --> 00:24:33,239 Speaker 4: Hilarious that you suggested they teach Shakespeare anywhere, But I 473 00:24:33,280 --> 00:24:34,200 Speaker 4: get to your point. 474 00:24:34,320 --> 00:24:36,879 Speaker 1: Right anyway, So but that use that was the conventional 475 00:24:36,880 --> 00:24:39,360 Speaker 1: wisdom about a degree. 476 00:24:39,720 --> 00:24:42,480 Speaker 2: Uh, you don't need that degree for this job. 477 00:24:42,800 --> 00:24:45,199 Speaker 1: But the fact that you have the degree shows that 478 00:24:45,240 --> 00:24:47,960 Speaker 1: you're reasonably bright, you're persistent, you stuck with it and 479 00:24:48,040 --> 00:24:48,520 Speaker 1: finished it. 480 00:24:49,160 --> 00:24:52,240 Speaker 2: Uh, and you can follow rules and get with a system. 481 00:24:52,880 --> 00:24:55,480 Speaker 2: That is been my experience. 482 00:24:55,600 --> 00:25:00,520 Speaker 4: That graduate degree gets thrown around without it matter really 483 00:25:00,840 --> 00:25:03,359 Speaker 4: what the degree was in or anything like that. It's 484 00:25:03,400 --> 00:25:06,520 Speaker 4: you went to graduate school. You can use just quote 485 00:25:07,440 --> 00:25:09,400 Speaker 4: everything counts. 486 00:25:09,640 --> 00:25:14,320 Speaker 1: Right, right, But so then if degrees become a walk 487 00:25:14,359 --> 00:25:16,480 Speaker 1: in the park with great inflation and you don't even 488 00:25:16,560 --> 00:25:20,680 Speaker 1: not show up to class anymore, that signal is it's 489 00:25:20,960 --> 00:25:24,720 Speaker 1: worthless now. So anyway, I thought that was a super 490 00:25:24,760 --> 00:25:27,880 Speaker 1: interesting little melding of science and human behavior. 491 00:25:28,960 --> 00:25:30,160 Speaker 2: Let's see one more. 492 00:25:30,280 --> 00:25:31,960 Speaker 1: And I wish we had more time for this, but 493 00:25:32,480 --> 00:25:37,959 Speaker 1: it's becoming absolutely undeniable, the link between transgenderism and autism. 494 00:25:38,600 --> 00:25:41,320 Speaker 1: The number of autistic kids who are trying to figure 495 00:25:41,359 --> 00:25:43,920 Speaker 1: out who they are, why they're not like everybody, why 496 00:25:43,960 --> 00:25:48,920 Speaker 1: they don't belong. And as the parent of autistic kid, 497 00:25:49,960 --> 00:25:55,800 Speaker 1: I will tell you that being accepted is extremely important 498 00:25:56,119 --> 00:26:00,000 Speaker 1: because they don't get that. They don't get acceptance because 499 00:26:00,160 --> 00:26:03,520 Speaker 1: they are different, if you prefer the term neuro divergent. 500 00:26:04,040 --> 00:26:07,800 Speaker 1: And so if someone offers them warm acceptance and you're 501 00:26:07,880 --> 00:26:11,520 Speaker 1: one of us and we think you're cool, autistic kids 502 00:26:11,560 --> 00:26:13,600 Speaker 1: will often leap at that. 503 00:26:13,960 --> 00:26:17,000 Speaker 4: Dang it, I didn't know that that is something. So 504 00:26:17,040 --> 00:26:19,120 Speaker 4: you got a kid they're. 505 00:26:18,920 --> 00:26:22,200 Speaker 1: Lonely, They're profoundly lonely, to put it frankly. You got 506 00:26:22,200 --> 00:26:26,400 Speaker 1: a kid that's, you know, however far down the spectrum 507 00:26:26,440 --> 00:26:30,320 Speaker 1: of autism, and you're dealing with this, whoa, that's a 508 00:26:30,359 --> 00:26:36,600 Speaker 1: lot well. And to my point, though, who will offer 509 00:26:36,880 --> 00:26:43,720 Speaker 1: those lonely alienated kids immediate, warm, enthusiastic acceptance if they 510 00:26:43,840 --> 00:26:44,640 Speaker 1: agree with. 511 00:26:46,119 --> 00:26:47,640 Speaker 2: The party line? 512 00:26:48,000 --> 00:26:52,679 Speaker 1: The intersectional crowd, the transgender crowd, the radical gender theory folks, 513 00:26:52,720 --> 00:26:53,960 Speaker 1: and critical race theory. 514 00:26:54,000 --> 00:26:55,880 Speaker 4: All of a sudden, you've got a group and friends 515 00:26:55,880 --> 00:26:58,359 Speaker 4: and you're being cheered. Yeah, I can see why that'd 516 00:26:58,359 --> 00:26:59,080 Speaker 4: be very appealing. 517 00:27:00,280 --> 00:27:01,560 Speaker 2: Yeah, it's unbelievable. 518 00:27:01,600 --> 00:27:03,800 Speaker 1: And maybe we'll carve that one out and spend more 519 00:27:03,840 --> 00:27:06,679 Speaker 1: time on it another time because it's super interesting. But 520 00:27:06,800 --> 00:27:09,800 Speaker 1: then finally I wanted to get to this one, and 521 00:27:09,880 --> 00:27:14,199 Speaker 1: this is from the extremely responsible Free Press winging it. 522 00:27:14,320 --> 00:27:18,480 Speaker 1: What the gender doctors say in private and footage obtained 523 00:27:18,520 --> 00:27:21,640 Speaker 1: by the Free Press. Gender doctors acknowledge they perform life 524 00:27:21,680 --> 00:27:25,760 Speaker 1: altering procedures on vulnerable youth with no supportive evidence, and 525 00:27:25,800 --> 00:27:26,840 Speaker 1: they're proud of it. 526 00:27:28,119 --> 00:27:29,480 Speaker 2: They are active. 527 00:27:29,600 --> 00:27:34,920 Speaker 1: They are radical activists that want to erase the gender divisions. 528 00:27:35,040 --> 00:27:37,000 Speaker 1: That's part of critical theory if you go back to 529 00:27:37,040 --> 00:27:39,959 Speaker 1: the origins of it in the you know, you know 530 00:27:40,119 --> 00:27:44,040 Speaker 1: France Fanan and what's his name, Michelle Fuco, they wanted 531 00:27:44,080 --> 00:27:48,520 Speaker 1: to erase all binaries and all divisions between people. Will 532 00:27:48,520 --> 00:27:51,000 Speaker 1: get to some of these sick ohs and what they 533 00:27:51,720 --> 00:27:55,080 Speaker 1: think and actually say behind closed doors afterward from our 534 00:27:55,080 --> 00:27:58,119 Speaker 1: friends at Omahas Takes. Yeah, so there's going to be 535 00:27:58,160 --> 00:28:01,840 Speaker 1: a meal right at some point with either Christmas or 536 00:28:01,920 --> 00:28:03,880 Speaker 1: Christmas Eve or New. 537 00:28:03,840 --> 00:28:05,680 Speaker 4: Year's or whatever, there's gonna be a meal. There's gonna 538 00:28:05,680 --> 00:28:07,880 Speaker 4: be a big meal or a lot of meals, and 539 00:28:08,080 --> 00:28:10,960 Speaker 4: you need an idea. Omaha Steaks is the best idea, 540 00:28:11,000 --> 00:28:13,359 Speaker 4: absolutely the best stuff all around. And it's not just 541 00:28:13,440 --> 00:28:15,760 Speaker 4: steaks in case you don't know that, all that kinds 542 00:28:15,760 --> 00:28:17,520 Speaker 4: of stuff. 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So final note a video obtained by the 559 00:29:07,760 --> 00:29:09,800 Speaker 1: Free Press from the twenty twenty one conference of the 560 00:29:09,880 --> 00:29:12,360 Speaker 1: US Professional Association for Transgender Health. 561 00:29:12,400 --> 00:29:13,120 Speaker 2: That's your. 562 00:29:14,600 --> 00:29:20,480 Speaker 1: Upath, us path whatever. There's a social worker with the 563 00:29:20,520 --> 00:29:24,000 Speaker 1: transgender health program at the Oregon Health and Science University 564 00:29:24,080 --> 00:29:28,280 Speaker 1: speaking about a case of an adolescent who wants to 565 00:29:28,320 --> 00:29:30,560 Speaker 1: be made to look as if they have no sex 566 00:29:30,600 --> 00:29:34,200 Speaker 1: at all. And they were describing this eighteen year old 567 00:29:34,440 --> 00:29:36,400 Speaker 1: who was living on his own for the first time, 568 00:29:36,640 --> 00:29:41,520 Speaker 1: and he explained a desire to look like Barbie down there. Wow, 569 00:29:41,720 --> 00:29:45,600 Speaker 1: Sky was this person's name, reported being asexual, never had sex, 570 00:29:45,680 --> 00:29:47,920 Speaker 1: having no desire to have sex in the future. Indeed, 571 00:29:47,960 --> 00:29:51,360 Speaker 1: Sky did not want to feel any pleasurable sensation and 572 00:29:51,400 --> 00:29:54,480 Speaker 1: hope removal of all arogenist tissue would be possible. 573 00:29:54,520 --> 00:29:58,760 Speaker 4: Wow, that's a person with some serious issues. That is 574 00:29:58,880 --> 00:30:00,120 Speaker 4: precisely right. 575 00:30:00,640 --> 00:30:03,160 Speaker 1: And as this doctor writes in the Free Press, not 576 00:30:03,200 --> 00:30:05,000 Speaker 1: long ago, a patient like Sky would have been given 577 00:30:05,040 --> 00:30:08,480 Speaker 1: a psychological evaluation and offered mental health counseling. But in 578 00:30:08,480 --> 00:30:11,080 Speaker 1: the evolving world of gender medicine, clinicians now want to 579 00:30:11,080 --> 00:30:14,880 Speaker 1: help young people like Sky achieve their gender goals, and 580 00:30:14,920 --> 00:30:19,000 Speaker 1: they go into nullification procedures and that they're not as 581 00:30:19,080 --> 00:30:21,840 Speaker 1: accessible as they should be, and. 582 00:30:22,040 --> 00:30:26,760 Speaker 4: Nullification being there's a name for not wanting to be either. 583 00:30:27,480 --> 00:30:30,680 Speaker 2: Nullification. That's the first time we've heard that term. We 584 00:30:30,760 --> 00:30:32,080 Speaker 2: got to talk more about that coming up. 585 00:30:32,120 --> 00:30:38,800 Speaker 4: Stay here, So wrapping up our conversation. So I was 586 00:30:39,120 --> 00:30:43,040 Speaker 4: one hundred percent aware obviously of various surgeries people get 587 00:30:43,080 --> 00:30:50,120 Speaker 4: to be a different sex, you know, present, physically, whatever 588 00:30:50,200 --> 00:30:51,080 Speaker 4: how you want to look at it. 589 00:30:51,160 --> 00:30:52,680 Speaker 2: I didn't because it can't change your sex. 590 00:30:52,760 --> 00:30:55,440 Speaker 4: I had not not come across the word nullification though, 591 00:30:55,440 --> 00:30:58,560 Speaker 4: where people want to be neither like a ken doll. Yeah, 592 00:30:58,600 --> 00:31:02,920 Speaker 4: they want to be completely non a non sexual being, 593 00:31:03,080 --> 00:31:05,760 Speaker 4: meaning neither male nor female, and that the number of 594 00:31:05,800 --> 00:31:07,920 Speaker 4: those poor metal ill people are growing in number. 595 00:31:08,520 --> 00:31:11,080 Speaker 2: What do you have you gotta urinate out of something? 596 00:31:11,080 --> 00:31:14,920 Speaker 2: Do you have a faucet? Souh. 597 00:31:16,080 --> 00:31:18,240 Speaker 1: So this this person who's giving the speech that that 598 00:31:18,400 --> 00:31:20,959 Speaker 1: when confronted with a patient like Sky who are talking 599 00:31:21,000 --> 00:31:24,360 Speaker 1: to talking about existing research and standards of care are 600 00:31:24,440 --> 00:31:26,360 Speaker 1: not enough to meet the needs of our patients, and 601 00:31:26,400 --> 00:31:27,960 Speaker 1: we need to take it to the next level to 602 00:31:28,000 --> 00:31:29,920 Speaker 1: really think about how we evolve and match the need 603 00:31:29,960 --> 00:31:32,400 Speaker 1: of our patients as their needs are being expressed to us. 604 00:31:33,200 --> 00:31:37,560 Speaker 1: And then the psychologist who is working with the young 605 00:31:37,600 --> 00:31:41,320 Speaker 1: confused young man agreed and described doing just that. Here's 606 00:31:41,320 --> 00:31:43,600 Speaker 1: where it gets sick. And here's my point. These people 607 00:31:43,640 --> 00:31:48,800 Speaker 1: are such lunatic extremist activists, the psychologists. Here's where it 608 00:31:48,840 --> 00:31:51,880 Speaker 1: gets sick. Okay, we haven't gotten sick yet. Okay, yeah, yeah, 609 00:31:51,920 --> 00:31:55,400 Speaker 1: no kidding. The psychologist told the conference that quote, it's 610 00:31:55,400 --> 00:31:58,880 Speaker 1: important to reframe the role of the mental health person 611 00:31:59,040 --> 00:32:03,520 Speaker 1: or the psychologist as a collaborator rather than a gatekeeper. 612 00:32:04,360 --> 00:32:07,680 Speaker 1: That meant, she explained, making sure that patients with serious 613 00:32:07,680 --> 00:32:11,640 Speaker 1: mental health problems such as multiple personalities in psychosis, are 614 00:32:11,760 --> 00:32:15,240 Speaker 1: not excluded from gender surgery just because the team is 615 00:32:15,320 --> 00:32:17,400 Speaker 1: quote uncomfortable operating on them. 616 00:32:17,480 --> 00:32:23,320 Speaker 4: That's the definition of the usually said as a negative phrase, 617 00:32:24,080 --> 00:32:26,040 Speaker 4: the inmates are running the asylum. 618 00:32:26,720 --> 00:32:28,200 Speaker 2: Yeah right right. 619 00:32:29,600 --> 00:32:34,480 Speaker 1: This Mary Marsiglio mayor Marsiglio was the name of the 620 00:32:34,520 --> 00:32:38,400 Speaker 1: psychologist said that being a member of the surgical team 621 00:32:38,440 --> 00:32:42,120 Speaker 1: provided the opportunity to help the patient navigate care. This 622 00:32:42,280 --> 00:32:45,120 Speaker 1: is especially necessary when what is requested by the patient 623 00:32:45,360 --> 00:32:48,280 Speaker 1: is a surgery that has not been performed before or 624 00:32:48,400 --> 00:32:49,600 Speaker 1: is of higher risk. 625 00:32:50,000 --> 00:32:52,200 Speaker 4: I would like you to cut off my foot. Well, 626 00:32:52,720 --> 00:32:55,040 Speaker 4: I don't want to be a gatekeeper. You're in charge 627 00:32:55,080 --> 00:32:57,400 Speaker 4: of your care. I'm just here to do what you ask. 628 00:32:58,720 --> 00:32:59,720 Speaker 2: Even people with. 629 00:32:59,760 --> 00:33:04,200 Speaker 1: Serious mental health problems like psychosis should not be excluded 630 00:33:04,240 --> 00:33:07,480 Speaker 1: from gender surgery just because the team is uncomfortable operating 631 00:33:07,520 --> 00:33:08,800 Speaker 1: on them and really. 632 00:33:08,560 --> 00:33:12,080 Speaker 2: Has no idea what they're doing. People are so nuts. 633 00:33:13,600 --> 00:33:15,680 Speaker 2: You've taken it so crazy far. 634 00:33:16,440 --> 00:33:20,280 Speaker 1: Yeah, I know, I know. This is beyond. This is 635 00:33:20,360 --> 00:33:26,040 Speaker 1: so far beyond, you know. And these examples are seen 636 00:33:26,160 --> 00:33:28,760 Speaker 1: but teaching teaching kids to hate their country or that 637 00:33:28,800 --> 00:33:31,040 Speaker 1: white people are responsible for all the evil in the 638 00:33:31,040 --> 00:33:34,880 Speaker 1: world or whatever. This is mutilating children. I mean, it's 639 00:33:34,920 --> 00:33:37,239 Speaker 1: not the like people become convinced that they should have 640 00:33:37,280 --> 00:33:41,120 Speaker 1: white guilt and therefore have their healthy breasts removed or 641 00:33:41,160 --> 00:33:44,000 Speaker 1: their genitals altered, or take puberty blockers that change their 642 00:33:44,000 --> 00:33:46,360 Speaker 1: bodies for the rest of their lives. I mean, this 643 00:33:46,560 --> 00:33:50,560 Speaker 1: is doctor mengelas stuff. Anyway, I'm sorry to end on 644 00:33:50,600 --> 00:33:53,560 Speaker 1: such a troubling note, but it's a gender betting madness update. 645 00:33:57,640 --> 00:34:00,640 Speaker 4: So earlier in the show, Joe had the break news 646 00:34:00,800 --> 00:34:03,480 Speaker 4: of an article in the New York Times Peter Baker 647 00:34:03,520 --> 00:34:06,760 Speaker 4: and others talking to Susie Wiles, who is so close 648 00:34:06,800 --> 00:34:10,280 Speaker 4: to Donald Trump, and she said a bunch of praily 649 00:34:10,360 --> 00:34:12,480 Speaker 4: shocking things about the President and other people in the 650 00:34:12,520 --> 00:34:15,600 Speaker 4: White House. She has responded, and we can get into 651 00:34:15,640 --> 00:34:17,759 Speaker 4: what she said again a little bit later if you 652 00:34:17,760 --> 00:34:20,680 Speaker 4: want to. She's the damn chief of staff. She has responded, 653 00:34:20,719 --> 00:34:22,319 Speaker 4: and she's been close to him for a long time. 654 00:34:23,160 --> 00:34:26,880 Speaker 4: The article, published early this morning is a disingenuously framed 655 00:34:26,960 --> 00:34:30,280 Speaker 4: hit piece on me and the finest president, white House staff, 656 00:34:30,280 --> 00:34:34,239 Speaker 4: and cabinet in history. Significant context was disregarded, and much 657 00:34:34,239 --> 00:34:36,080 Speaker 4: of what I and others said about the team and 658 00:34:36,120 --> 00:34:40,120 Speaker 4: the President was left out of the article. So she's 659 00:34:40,200 --> 00:34:43,600 Speaker 4: distancing herself from the article that she sat down for. 660 00:34:44,400 --> 00:34:48,000 Speaker 2: I have no doubt that's true, at least partly. 661 00:34:48,080 --> 00:34:49,520 Speaker 4: You have no doubt that it was taken out of 662 00:34:49,560 --> 00:34:53,839 Speaker 4: context or not presented exactly the way she said it. 663 00:34:54,520 --> 00:34:59,480 Speaker 1: Uh. Yeah, Whether it's seventy percent accurate and thirty percent 664 00:34:59,560 --> 00:35:02,920 Speaker 1: to jack up or vice versa. I don't know, but 665 00:35:03,040 --> 00:35:06,719 Speaker 1: for instance, her saying mister Trump has an alcoholics personality, 666 00:35:06,719 --> 00:35:10,000 Speaker 1: it's hard to imagine putting that in a context that 667 00:35:10,040 --> 00:35:11,160 Speaker 1: would soften that. 668 00:35:12,800 --> 00:35:13,280 Speaker 2: Quote. 669 00:35:13,440 --> 00:35:17,000 Speaker 1: High functioning alcoholics or alcoholics in general, their personalities are 670 00:35:17,000 --> 00:35:19,520 Speaker 1: exaggerated when they drink. And so I'm a little bit 671 00:35:19,560 --> 00:35:23,400 Speaker 1: of an expert in big personalities. While Trump does not drink, 672 00:35:23,520 --> 00:35:26,240 Speaker 1: she said, quote, he has an alcoholics personality and operates 673 00:35:26,320 --> 00:35:28,920 Speaker 1: quote with a view that there's nothing he can't do, nothing, 674 00:35:29,040 --> 00:35:29,760 Speaker 1: zero nothing. 675 00:35:34,360 --> 00:35:34,840 Speaker 2: Yeah. 676 00:35:34,920 --> 00:35:38,600 Speaker 4: I guess she's not presenting that as a negative, which 677 00:35:38,719 --> 00:35:39,359 Speaker 4: doesn't have to. 678 00:35:39,320 --> 00:35:42,399 Speaker 2: Be right right. 679 00:35:43,520 --> 00:35:47,600 Speaker 1: I mean, like by normal standards, we cite Michael Jordan 680 00:35:47,680 --> 00:35:53,319 Speaker 1: a lot. His competitiveness is borderline psycho and it made 681 00:35:53,400 --> 00:35:56,080 Speaker 1: him the greatest basketball player on earth and successful in 682 00:35:56,120 --> 00:35:56,920 Speaker 1: one championships. 683 00:35:57,040 --> 00:35:58,480 Speaker 2: Is that a bad thing or a good thing? It's 684 00:35:58,480 --> 00:36:01,120 Speaker 2: more complicated than that. Interesting. 685 00:36:01,160 --> 00:36:03,560 Speaker 4: Maybe we'll look into that more. We got a couple 686 00:36:03,600 --> 00:36:06,000 Speaker 4: of hours to go. Many segments. For some reason, you 687 00:36:06,000 --> 00:36:07,560 Speaker 4: don't get a chance to listen to them. You can 688 00:36:07,560 --> 00:36:10,080 Speaker 4: find our podcast Armstrong and Getty on demand if you 689 00:36:10,120 --> 00:36:12,680 Speaker 4: want to donate to the Scouts. Go to Armstrong and 690 00:36:12,760 --> 00:36:15,640 Speaker 4: getty dot com. It's right there on the front page, 691 00:36:15,719 --> 00:36:19,200 Speaker 4: easy to donate. We'll do a total in the coming hour. 692 00:36:20,520 --> 00:36:21,680 Speaker 1: Armstrong and Getty