1 00:00:01,120 --> 00:00:05,880 Speaker 1: Morning Run with Amy and TJ and iHeartRadio Podcast. Good 2 00:00:05,880 --> 00:00:10,120 Speaker 1: morning everyone, and welcome to Morning Run. It is Monday, 3 00:00:10,240 --> 00:00:13,440 Speaker 1: November twenty fourth. I'm Amy Robots and I'm TJ Holmes. 4 00:00:13,480 --> 00:00:16,040 Speaker 1: Always favorite of the week, Monday. Love it, love it, 5 00:00:16,079 --> 00:00:16,319 Speaker 1: love it. 6 00:00:16,360 --> 00:00:18,520 Speaker 2: We get to start a new start fresh, no matter 7 00:00:18,560 --> 00:00:20,840 Speaker 2: what went wrong last week, we get a chance to 8 00:00:20,840 --> 00:00:23,200 Speaker 2: do it again. And we got Thanksgiving this week. 9 00:00:23,320 --> 00:00:25,279 Speaker 1: That is a great way to look at having a 10 00:00:25,400 --> 00:00:26,640 Speaker 1: case of the Mondays. 11 00:00:26,720 --> 00:00:28,600 Speaker 2: Yes, okay, bad news though, it's going to be some 12 00:00:28,600 --> 00:00:32,080 Speaker 2: weather heads up. We do need to let you all though. 13 00:00:32,120 --> 00:00:34,320 Speaker 2: If I'm sure you're catching up, but if you haven't 14 00:00:34,479 --> 00:00:36,279 Speaker 2: taken a peek and you're traveling this week, there are 15 00:00:36,280 --> 00:00:38,560 Speaker 2: going to be i think three weather systems they're pointing 16 00:00:38,560 --> 00:00:40,960 Speaker 2: to that are going to cause problems all across the country. 17 00:00:41,280 --> 00:00:44,440 Speaker 2: Was it Robes, It's in rain and snow in California, 18 00:00:44,520 --> 00:00:46,199 Speaker 2: all that stuff starting to move east, and then some 19 00:00:46,240 --> 00:00:48,239 Speaker 2: stuff in the South is starting to move up and 20 00:00:48,320 --> 00:00:51,080 Speaker 2: east as well. So the whole country almost is going. 21 00:00:51,000 --> 00:00:52,880 Speaker 1: To get a little something and coming on the worst 22 00:00:52,960 --> 00:00:56,240 Speaker 1: travel days of the year unfortunately, where most people are 23 00:00:56,280 --> 00:00:58,600 Speaker 1: in their cars according to Triple A. 24 00:00:58,600 --> 00:01:01,400 Speaker 2: All right, so just the head up on that's Also 25 00:01:01,520 --> 00:01:05,360 Speaker 2: this morning an update on that big botulism outbreak and 26 00:01:05,400 --> 00:01:10,399 Speaker 2: this is a scary update. Also, three hundred kids kidnapped 27 00:01:10,840 --> 00:01:13,399 Speaker 2: in Nigeria. We'll give you the latest, including the fact 28 00:01:13,400 --> 00:01:16,920 Speaker 2: that some of those kids they said, escaped on their own. 29 00:01:16,959 --> 00:01:18,800 Speaker 2: We'll give you the latest there. Also, as a reminder, 30 00:01:18,840 --> 00:01:22,080 Speaker 2: always subscribe click that button that says follow on the 31 00:01:22,080 --> 00:01:24,480 Speaker 2: top right corner of your Apple podcast app on our 32 00:01:24,480 --> 00:01:26,560 Speaker 2: show page. There'll be a lot of updates this week 33 00:01:26,600 --> 00:01:28,399 Speaker 2: and you can make sure they all come right to 34 00:01:28,480 --> 00:01:30,000 Speaker 2: you without you having to go on them down. 35 00:01:30,200 --> 00:01:34,480 Speaker 1: Also on the Run this morning, the Pope, Slenderman, Shador Sanders, 36 00:01:34,520 --> 00:01:39,600 Speaker 1: Kevin Spacey, JFK's granddaughter, an accused college football player, and 37 00:01:39,800 --> 00:01:44,520 Speaker 1: TSA agents will all be running with us this morning. 38 00:01:44,560 --> 00:01:46,959 Speaker 2: And let's start there with something that we rarely do, 39 00:01:47,160 --> 00:01:51,720 Speaker 2: Robes on the morning Run News podcast. Our lead story 40 00:01:51,840 --> 00:01:54,680 Speaker 2: is a positive one and it's just gets this as 41 00:01:54,720 --> 00:01:57,160 Speaker 2: a great one and we're happy to pass along. And 42 00:01:57,200 --> 00:01:59,560 Speaker 2: it could be good news for you air travelers as 43 00:01:59,600 --> 00:02:03,280 Speaker 2: well at the airport because want the TSA workers being 44 00:02:03,320 --> 00:02:04,600 Speaker 2: a really good move today. 45 00:02:04,440 --> 00:02:07,440 Speaker 1: Wrote I would hope so they got some really good 46 00:02:07,600 --> 00:02:12,520 Speaker 1: news and some really great I guess something in the 47 00:02:12,520 --> 00:02:15,680 Speaker 1: mail that they actually looked forward to from the government. 48 00:02:15,520 --> 00:02:18,280 Speaker 2: And they earned and they deserve. Yes, TSA workers, we 49 00:02:18,320 --> 00:02:21,280 Speaker 2: are told are going to all have their money today. 50 00:02:21,320 --> 00:02:23,560 Speaker 2: They're going to all have their back pay. They told 51 00:02:23,600 --> 00:02:25,400 Speaker 2: us the last couple of days that ninety percent of 52 00:02:25,440 --> 00:02:29,880 Speaker 2: TSA workers had received their back pay. But today the 53 00:02:29,919 --> 00:02:33,280 Speaker 2: rest should all have it fully covered for all those 54 00:02:33,360 --> 00:02:36,360 Speaker 2: forty three days that they went without getting paid and 55 00:02:36,440 --> 00:02:37,760 Speaker 2: working security at airports. 56 00:02:37,840 --> 00:02:40,240 Speaker 1: And doesn't that just give you peace of mind when 57 00:02:40,280 --> 00:02:42,760 Speaker 1: you know you actually are going to be able to 58 00:02:42,800 --> 00:02:45,400 Speaker 1: afford Thanksgiving and Christmas that had to be on so 59 00:02:45,520 --> 00:02:47,680 Speaker 1: many of their minds for so long. 60 00:02:47,760 --> 00:02:50,359 Speaker 2: I kind of wished we were traveling today. I would 61 00:02:50,440 --> 00:02:52,160 Speaker 2: love to go through there and see what the mood 62 00:02:52,240 --> 00:02:54,200 Speaker 2: is like. But also just say thank you once again 63 00:02:54,280 --> 00:02:56,320 Speaker 2: for you to We've traveled a bit during the shutdown 64 00:02:56,360 --> 00:02:57,680 Speaker 2: and it was some tense time. 65 00:02:57,760 --> 00:03:00,400 Speaker 1: Yeah, airport, it definitely had its impact on the moods 66 00:03:00,400 --> 00:03:03,120 Speaker 1: of TSA workers and that's understandable, all right. Next up 67 00:03:03,200 --> 00:03:06,560 Speaker 1: on the run, a concerning update about that botulism outbreak 68 00:03:06,600 --> 00:03:10,679 Speaker 1: linked to baby Formula by Heart recalled all of its 69 00:03:10,720 --> 00:03:13,680 Speaker 1: baby formula. Earlier this month because of a botulism link. 70 00:03:13,960 --> 00:03:17,080 Speaker 1: At least thirty babies have been sickened in fifteen states, 71 00:03:17,120 --> 00:03:21,080 Speaker 1: but now California officials say they've identified at least six 72 00:03:21,440 --> 00:03:25,679 Speaker 1: other babies who had by heart formula. But get this, 73 00:03:26,200 --> 00:03:30,880 Speaker 1: they were sickened with botulism at least nine months ago. 74 00:03:31,160 --> 00:03:35,160 Speaker 2: Terrifying, same stuff here, So that is well outside this 75 00:03:35,360 --> 00:03:38,840 Speaker 2: current outbreak. So they're trying to track this down, figure 76 00:03:38,840 --> 00:03:40,640 Speaker 2: this out, and this could have been going on for 77 00:03:40,720 --> 00:03:44,440 Speaker 2: a while undetected. So far, they have not, though, made 78 00:03:44,480 --> 00:03:48,960 Speaker 2: a definitive link between those current sick babies and the 79 00:03:49,400 --> 00:03:52,600 Speaker 2: current outbreak. But that's a hell of a coincidence, it 80 00:03:52,640 --> 00:03:53,520 Speaker 2: certainly is. 81 00:03:53,320 --> 00:03:55,840 Speaker 1: That's some scary stuff too, to think what you're giving 82 00:03:55,840 --> 00:03:58,520 Speaker 1: your child for nourishment is actually sickening them and you 83 00:03:58,560 --> 00:03:59,520 Speaker 1: didn't even know that. 84 00:03:59,520 --> 00:04:02,480 Speaker 2: That was thek no deaths reported as part of the 85 00:04:02,560 --> 00:04:04,880 Speaker 2: Thankfully I'll break Thankfully Continuing on the run now with 86 00:04:04,880 --> 00:04:08,440 Speaker 2: Pope Leo. He is pleading for the release of hundreds 87 00:04:08,720 --> 00:04:12,680 Speaker 2: of school kids kidnapped by armed gunmen from their Catholic 88 00:04:12,720 --> 00:04:14,400 Speaker 2: school over the weekend in Nigeria. 89 00:04:14,560 --> 00:04:17,640 Speaker 1: Three hundred students were taken Friday and this morning, authority 90 00:04:17,680 --> 00:04:20,200 Speaker 1: say fifty of those kids were able to escape, but 91 00:04:20,240 --> 00:04:22,920 Speaker 1: at least two hundred and fifty students and twelve teachers 92 00:04:22,960 --> 00:04:25,320 Speaker 1: are missing. Those kids are between the ages of ten 93 00:04:25,440 --> 00:04:29,080 Speaker 1: and eighteen. No claim of responsibility, but certainly we have 94 00:04:29,160 --> 00:04:33,159 Speaker 1: seen this in Nigeria before. Back in twenty fourteen, Boko Haram, 95 00:04:33,720 --> 00:04:38,640 Speaker 1: one of the terrorist organizations there, definitely claimed responsibility and 96 00:04:38,680 --> 00:04:41,280 Speaker 1: we also saw it was more young girls who were 97 00:04:41,279 --> 00:04:44,200 Speaker 1: trying to go to school. Many of them escaped and 98 00:04:44,600 --> 00:04:47,720 Speaker 1: it was a harrowing, harrowing situation for families who were 99 00:04:47,720 --> 00:04:48,880 Speaker 1: trying to find their daughters. 100 00:04:49,040 --> 00:04:50,039 Speaker 2: That was all young girls. 101 00:04:50,160 --> 00:04:51,599 Speaker 1: It was a young girls ago. 102 00:04:51,680 --> 00:04:53,920 Speaker 2: Yes, some of them still never been found to this day. 103 00:04:54,000 --> 00:04:56,640 Speaker 2: And again to this day, we can all remember Boko Haram, 104 00:04:56,760 --> 00:05:00,480 Speaker 2: Boca Haram. Everybody can recall that devastating time. Schools have 105 00:05:00,560 --> 00:05:03,160 Speaker 2: been closed across Nigeria and they are trying to figure 106 00:05:03,200 --> 00:05:05,000 Speaker 2: this out. But so far, as of this recording, nobody 107 00:05:05,000 --> 00:05:08,159 Speaker 2: had claimed responsibility, have said what they want at this point. 108 00:05:08,320 --> 00:05:11,160 Speaker 2: Continuing on the run here now, one of the then 109 00:05:11,520 --> 00:05:15,200 Speaker 2: twelve year old girls convicted in that shocking slender Man 110 00:05:15,440 --> 00:05:19,760 Speaker 2: stabbing attack escaped from her group home over the weekend, 111 00:05:20,279 --> 00:05:24,000 Speaker 2: but she's already been recaptured. Morgan Geyser. It's now twenty 112 00:05:24,080 --> 00:05:26,840 Speaker 2: three years old, but she cut off her ankle monitor 113 00:05:27,240 --> 00:05:30,039 Speaker 2: left her Wisconsin group home and was last seen with 114 00:05:30,080 --> 00:05:31,720 Speaker 2: an acquaintance Saturday night. 115 00:05:31,920 --> 00:05:34,719 Speaker 1: Yes, so, as you might imagine, it prompted a massive 116 00:05:34,760 --> 00:05:36,520 Speaker 1: man hunt, but she was only on the run for 117 00:05:36,760 --> 00:05:40,680 Speaker 1: one day. She was recaptured last night in Illinois, about 118 00:05:40,720 --> 00:05:44,720 Speaker 1: twenty five miles from Chicago. Guys repleaded guilty to murder 119 00:05:44,800 --> 00:05:47,760 Speaker 1: after excuse me to attempted murder after she and a 120 00:05:47,800 --> 00:05:50,440 Speaker 1: friend stabbed a classmate. They said it was to impress 121 00:05:50,480 --> 00:05:54,240 Speaker 1: the online fictional boogeyman known as the slender Man. These 122 00:05:54,240 --> 00:05:57,160 Speaker 1: girls were in sixth grade. They believe this guy existed. 123 00:05:57,240 --> 00:05:59,080 Speaker 2: They did a movie on this scape did. 124 00:05:58,920 --> 00:06:02,560 Speaker 1: Absolutely and some scary stuff. She was placed in a 125 00:06:02,560 --> 00:06:06,120 Speaker 1: psychiatric facility in twenty eighteen, but this year she was 126 00:06:06,160 --> 00:06:10,080 Speaker 1: placed in a group home as part of a conditional release. Again, 127 00:06:10,160 --> 00:06:12,400 Speaker 1: all those girls were just twelve years old at the 128 00:06:12,440 --> 00:06:16,320 Speaker 1: time of the stabbing. But this was something that made 129 00:06:16,360 --> 00:06:20,760 Speaker 1: international headlines, and frankly, I had no idea that she 130 00:06:20,920 --> 00:06:23,120 Speaker 1: was on her way to being fully released. 131 00:06:23,640 --> 00:06:26,240 Speaker 2: I didn't again, forgot the story, did not realize she's 132 00:06:26,279 --> 00:06:28,320 Speaker 2: been spending all this time in a psychiatric facility. I 133 00:06:28,360 --> 00:06:29,800 Speaker 2: believe the other young lady was. 134 00:06:29,880 --> 00:06:30,839 Speaker 1: Has already been released. 135 00:06:30,880 --> 00:06:34,640 Speaker 2: Huh as well, But that's the one that look she 136 00:06:34,760 --> 00:06:38,400 Speaker 2: was They just just and who was arguing. You told 137 00:06:38,440 --> 00:06:39,760 Speaker 2: me that did not want her released. 138 00:06:40,080 --> 00:06:42,760 Speaker 1: The prosecutors they wanted her to stay. She actually was 139 00:06:42,800 --> 00:06:47,160 Speaker 1: sentenced to forty years in a psychiatric facility. Because guys, 140 00:06:47,160 --> 00:06:49,240 Speaker 1: are the one who escaped. She is the one who 141 00:06:49,279 --> 00:06:52,520 Speaker 1: did the stabbing, that's right, as another other one just watched. 142 00:06:53,120 --> 00:06:55,760 Speaker 1: Not that that's okay too, But Geyser was the one 143 00:06:55,760 --> 00:06:57,680 Speaker 1: who actually committed the violent act. 144 00:06:57,760 --> 00:07:00,320 Speaker 2: I'm remembering more kid. But they said she was just 145 00:07:00,320 --> 00:07:02,360 Speaker 2: standing by, but she was egging her on. Yes, Oh 146 00:07:02,440 --> 00:07:04,240 Speaker 2: my goodness. All right, continuing on the run here now, 147 00:07:04,279 --> 00:07:07,560 Speaker 2: the White House reporting progress and weekend talks to end 148 00:07:07,560 --> 00:07:10,320 Speaker 2: the war between Russia and Ukraine. Secretary of State Marco 149 00:07:10,400 --> 00:07:13,480 Speaker 2: Rubio and high ranking Ukrainian officials met for talks in 150 00:07:13,520 --> 00:07:15,960 Speaker 2: Switzerland over the weekend, and those talks are being described 151 00:07:16,000 --> 00:07:18,200 Speaker 2: as quote highly productive. 152 00:07:18,240 --> 00:07:21,040 Speaker 1: President Trump has offered a twenty eight point piece plan 153 00:07:21,200 --> 00:07:24,000 Speaker 1: and is urging Ukraine to get on board, but critics 154 00:07:24,000 --> 00:07:28,360 Speaker 1: say the plan is just too heavily weighted towards Russia. 155 00:07:28,360 --> 00:07:28,880 Speaker 2: So we'll have to. 156 00:07:28,880 --> 00:07:31,560 Speaker 1: Wait and see on that one. But next up on 157 00:07:31,600 --> 00:07:35,920 Speaker 1: the run, a college football player is accused of stabbing 158 00:07:36,320 --> 00:07:40,560 Speaker 1: two of his teammates hours before the team's game on Saturday. 159 00:07:41,120 --> 00:07:45,120 Speaker 1: Daniel Minsey, an offensive lineman for UAB, was arrested just 160 00:07:45,520 --> 00:07:47,600 Speaker 1: before the team's game against South Florida. 161 00:07:47,760 --> 00:07:50,560 Speaker 2: Yeah. Officials now with the University of Alabama Birmingham say 162 00:07:50,600 --> 00:07:53,600 Speaker 2: the players are in stable condition. They did not release 163 00:07:53,640 --> 00:07:56,720 Speaker 2: the names of those two players. Obviously, people around the 164 00:07:56,760 --> 00:08:00,720 Speaker 2: campus know exactly who has heard here. No motive was 165 00:08:00,760 --> 00:08:04,080 Speaker 2: given for this. The game went on as schedule. They 166 00:08:04,080 --> 00:08:06,080 Speaker 2: did talk to the players about this ahead of time. 167 00:08:06,120 --> 00:08:08,400 Speaker 2: Some of them were just too shaken and opted not 168 00:08:08,480 --> 00:08:10,600 Speaker 2: to go out there. They're not having a good year. 169 00:08:11,080 --> 00:08:12,680 Speaker 2: They end up getting blown out in this game. That's 170 00:08:12,680 --> 00:08:15,480 Speaker 2: besides the point, necessarily, but it goes to what has 171 00:08:15,480 --> 00:08:18,440 Speaker 2: been really a difficult stretch of time for this team. 172 00:08:18,440 --> 00:08:20,600 Speaker 2: And yes, some of them, no, I'm not going out there. 173 00:08:20,680 --> 00:08:22,720 Speaker 1: Wow, I mean more details we would think would come 174 00:08:22,760 --> 00:08:25,120 Speaker 1: out with this one, just because it's so unusual and 175 00:08:25,160 --> 00:08:28,600 Speaker 1: unheard of but certainly glad that those two players are 176 00:08:28,680 --> 00:08:32,320 Speaker 1: doing well. Next up on the run, Tatiana Schlosberg, the 177 00:08:32,320 --> 00:08:36,240 Speaker 1: granddaughter of JFK, revealed in a moving essay over the 178 00:08:36,280 --> 00:08:39,600 Speaker 1: weekend that she has been given a terminal diagnosis. She 179 00:08:39,640 --> 00:08:41,600 Speaker 1: says the doctors have told her they can keep her 180 00:08:41,600 --> 00:08:44,440 Speaker 1: alive for another year maybe. 181 00:08:44,760 --> 00:08:47,080 Speaker 2: Writing in The New York Or, Schlasberg said she was 182 00:08:47,120 --> 00:08:52,320 Speaker 2: diagnosed with a cute Mylloyd leukemia with a rare mutation. Now, 183 00:08:52,440 --> 00:08:54,040 Speaker 2: just for the sake, we will tell you it's called 184 00:08:54,080 --> 00:08:57,199 Speaker 2: inversion three. Again, I don't keep up necessarily with this 185 00:08:57,320 --> 00:08:58,240 Speaker 2: something you'd heard of. 186 00:08:58,520 --> 00:09:02,800 Speaker 1: No, I didn't know about just this specific type of disease, 187 00:09:02,800 --> 00:09:05,560 Speaker 1: but I do know blood cancers are often very difficult 188 00:09:05,600 --> 00:09:06,200 Speaker 1: to treat. 189 00:09:06,120 --> 00:09:09,080 Speaker 2: And she was diagnosed with there's a blood cancer on 190 00:09:09,200 --> 00:09:12,560 Speaker 2: the same day that her daughter was born last year. 191 00:09:12,679 --> 00:09:14,720 Speaker 2: She goes through and tells the story rose and they 192 00:09:14,840 --> 00:09:18,040 Speaker 2: noticed what something was wrong in her blood count. Blood 193 00:09:18,080 --> 00:09:21,360 Speaker 2: count that was astronomical. So I'm just it's probably tied. 194 00:09:21,400 --> 00:09:23,600 Speaker 2: You just had a baby this half she was what 195 00:09:23,720 --> 00:09:26,559 Speaker 2: wheeled off and now not ICU. But she was wheeled 196 00:09:26,559 --> 00:09:28,760 Speaker 2: off pretty quickly from her child to get taken care. 197 00:09:28,640 --> 00:09:31,080 Speaker 1: Of immediate testing went on and she's I mean, to 198 00:09:31,160 --> 00:09:33,680 Speaker 1: this day after a year and a half battle, she's 199 00:09:33,720 --> 00:09:38,960 Speaker 1: had two stem cell transplants, she's been in remission, and 200 00:09:39,000 --> 00:09:41,000 Speaker 1: then she had a recurrence. I mean, this is just 201 00:09:41,040 --> 00:09:43,760 Speaker 1: a woman who has been fighting for her life privately 202 00:09:44,040 --> 00:09:45,240 Speaker 1: for the past year and a half. We did a 203 00:09:45,280 --> 00:09:47,719 Speaker 1: podcast on it yesterday. We encourage you to listen to it. 204 00:09:47,720 --> 00:09:50,000 Speaker 1: It really is moving and if you can, please read 205 00:09:50,559 --> 00:09:54,720 Speaker 1: yes her essay Battle with My Blood. It is a 206 00:09:54,840 --> 00:09:59,080 Speaker 1: must read, especially going into this week, this week of Gratitude. 207 00:09:59,240 --> 00:10:01,600 Speaker 1: It will change your perspective on life period. 208 00:10:01,679 --> 00:10:03,880 Speaker 2: We trying to find the right word. It's touching. Yes, 209 00:10:04,000 --> 00:10:07,720 Speaker 2: it's moving, but it is devastating to read like it is. 210 00:10:07,800 --> 00:10:10,800 Speaker 2: You walk away not and you don't feel uplifted now 211 00:10:10,840 --> 00:10:14,240 Speaker 2: you feel so down and sad and hurt for her, 212 00:10:14,600 --> 00:10:17,280 Speaker 2: like you hurt for this family. And she talked about that. 213 00:10:17,920 --> 00:10:21,720 Speaker 2: I'm now adding to another tragedy for Caroline Kennedy. 214 00:10:22,000 --> 00:10:25,320 Speaker 1: I know, if the think that she's actually living and 215 00:10:25,360 --> 00:10:28,160 Speaker 1: fighting with that guilt on top of you know, the 216 00:10:28,160 --> 00:10:30,720 Speaker 1: guilt of never being able to be a mother to 217 00:10:30,800 --> 00:10:33,200 Speaker 1: her children, the guilt of leaving her mom. Now who 218 00:10:33,280 --> 00:10:36,480 Speaker 1: has suffered so much loss. It is devastating. But again 219 00:10:37,840 --> 00:10:42,120 Speaker 1: it is motivating, yes, to recognize our gifts, to recognize 220 00:10:42,160 --> 00:10:45,600 Speaker 1: the fact that we don't know when our time is up. 221 00:10:45,840 --> 00:10:48,040 Speaker 1: But for those who do, they can teach us a lot. 222 00:10:48,160 --> 00:10:49,440 Speaker 2: I beg you to read it, folks, please. 223 00:10:49,640 --> 00:10:53,040 Speaker 1: Right next up on the Run, Kevin Spacey apparently is 224 00:10:53,080 --> 00:10:56,840 Speaker 1: not homeless after all, despite the headlines you saw last week. 225 00:10:57,040 --> 00:10:59,240 Speaker 1: The Oscar winner posted a video saying it would be 226 00:10:59,280 --> 00:11:02,400 Speaker 1: disingenuous of him to allow folks to believe that he 227 00:11:02,480 --> 00:11:04,720 Speaker 1: is homeless. As he put it in the colloquial sense. 228 00:11:04,920 --> 00:11:07,400 Speaker 2: He said, folks started reaching out to him. Actually after 229 00:11:07,400 --> 00:11:10,760 Speaker 2: that article posted, offering him a place to stay. Now 230 00:11:10,760 --> 00:11:13,640 Speaker 2: he did his interview with the Telegraph. The article was 231 00:11:13,679 --> 00:11:19,080 Speaker 2: titled Homeless, canceled and crooning in Cyprus. Now, I guess 232 00:11:19,160 --> 00:11:23,400 Speaker 2: that's supposed to be catchy. Technically, I guess you're homeless 233 00:11:23,440 --> 00:11:26,240 Speaker 2: if you don't have an address. But he's not living 234 00:11:26,240 --> 00:11:28,079 Speaker 2: out on the street, which is what he was trying 235 00:11:28,120 --> 00:11:30,640 Speaker 2: to clear up. Now. He blamed the outlet for creating 236 00:11:30,679 --> 00:11:34,920 Speaker 2: a knowingly misleading headline for the sake of clicks. Those 237 00:11:34,920 --> 00:11:36,400 Speaker 2: were his words in the video. He said there are 238 00:11:36,440 --> 00:11:38,880 Speaker 2: plenty of people actually living on the street, but quote, 239 00:11:39,120 --> 00:11:41,920 Speaker 2: I am not one of them, and it's a reminder 240 00:11:41,960 --> 00:11:45,040 Speaker 2: of what has happened to him in his career. Everybody 241 00:11:45,120 --> 00:11:47,760 Speaker 2: right now probably doesn't realize he has never been convicted 242 00:11:47,880 --> 00:11:50,359 Speaker 2: or found liable anywhere in a court. 243 00:11:50,360 --> 00:11:54,320 Speaker 1: For anything, for any wrongdoing. Absolutely, that is very important 244 00:11:54,320 --> 00:11:54,680 Speaker 1: to note. 245 00:11:54,720 --> 00:11:56,720 Speaker 2: All right, we will continue on this morning run in 246 00:11:56,880 --> 00:11:59,280 Speaker 2: just a second. When we come back, folks, we have 247 00:11:59,600 --> 00:12:04,920 Speaker 2: big new use for Schadour Sanders. Finally something went right 248 00:12:05,000 --> 00:12:08,359 Speaker 2: for the brother also coming up wicked. It was supposed 249 00:12:08,360 --> 00:12:12,640 Speaker 2: to be a big opening weekend. It was also would 250 00:12:12,640 --> 00:12:18,760 Speaker 2: you drink beer made from recycled water from the laundry 251 00:12:19,280 --> 00:12:22,920 Speaker 2: and from your shower? Well, one company is banking that 252 00:12:23,040 --> 00:12:24,920 Speaker 2: your answer is sure. 253 00:12:33,280 --> 00:12:38,120 Speaker 1: Continuing on our Monday morning run. Finally a win for 254 00:12:38,200 --> 00:12:43,280 Speaker 1: Shador Sanders in a figurative and literal sense. Shador started 255 00:12:43,320 --> 00:12:46,560 Speaker 1: his first game in the NFL yesterday and guess what 256 00:12:47,040 --> 00:12:47,480 Speaker 1: they won? 257 00:12:47,760 --> 00:12:52,800 Speaker 2: This is huge sharedore. Congratulations. This was his first start 258 00:12:53,240 --> 00:12:57,680 Speaker 2: and his first win as an NFL quarterback. He played 259 00:12:57,760 --> 00:12:59,920 Speaker 2: pretty well. They beat Las Vegas twenty four to ten. 260 00:13:00,200 --> 00:13:03,000 Speaker 2: Game was in Vegas. His dad was there having a 261 00:13:03,040 --> 00:13:06,360 Speaker 2: good old time in the stands, but robes even you 262 00:13:07,040 --> 00:13:11,120 Speaker 2: as maybe not so close of an NFL or football watcher, 263 00:13:11,440 --> 00:13:13,920 Speaker 2: you know Shador Sanders and his story well, and a 264 00:13:13,920 --> 00:13:17,079 Speaker 2: lot of people do. And finally something has gone well 265 00:13:17,120 --> 00:13:17,839 Speaker 2: for this young man. 266 00:13:18,000 --> 00:13:21,120 Speaker 1: Yeah, he has suffered a series of I would just say, 267 00:13:21,480 --> 00:13:28,359 Speaker 1: I mean as devastations too strong of a word, but frustrations, embarrassments, humiliations, 268 00:13:28,360 --> 00:13:31,240 Speaker 1: whatever you want to call it. But he has definitely suffered, 269 00:13:31,240 --> 00:13:34,680 Speaker 1: and so it's nice to see somebody take ownership. I 270 00:13:34,679 --> 00:13:37,360 Speaker 1: remember from the moment we started hearing about all the 271 00:13:37,360 --> 00:13:40,319 Speaker 1: folks just hating on him, hoping that his you know, 272 00:13:40,480 --> 00:13:43,680 Speaker 1: success is the best revenge. So congratulations. Next up on 273 00:13:43,720 --> 00:13:46,839 Speaker 1: the Run. As expected, Wicked did its thing at the 274 00:13:46,880 --> 00:13:49,360 Speaker 1: box office this weekend, making one hundred and fifty million 275 00:13:49,400 --> 00:13:52,160 Speaker 1: here in the US, beating the first Wicked movie. That's 276 00:13:52,160 --> 00:13:55,079 Speaker 1: pretty impressive. First time around, they made one hundred and 277 00:13:55,120 --> 00:13:58,160 Speaker 1: twelve million in the opening weekend, one hundred and fifty 278 00:13:58,240 --> 00:13:58,760 Speaker 1: this weekend. 279 00:13:58,920 --> 00:14:01,079 Speaker 2: Isn't it fair to say that it's the first one came? 280 00:14:01,160 --> 00:14:03,360 Speaker 2: Was that two years ago? Two years damn? 281 00:14:04,120 --> 00:14:06,120 Speaker 1: Time fly, time Fly. 282 00:14:06,120 --> 00:14:08,720 Speaker 2: And then it had its oscar eye camera. Okay, but 283 00:14:08,880 --> 00:14:15,080 Speaker 2: it's essentially been on a promotional run for part two 284 00:14:15,120 --> 00:14:17,760 Speaker 2: since Part one came out. We've heard heard nothing but 285 00:14:17,840 --> 00:14:21,000 Speaker 2: about these two women, all the stars, what's coming next. 286 00:14:21,840 --> 00:14:22,960 Speaker 2: That's a hell of a promotion. 287 00:14:23,040 --> 00:14:24,880 Speaker 1: And then Sexiest Man Alive didn't hurt either. 288 00:14:25,240 --> 00:14:30,160 Speaker 2: God, Yes, hell, okay, I'll admit I want to watch 289 00:14:30,240 --> 00:14:31,040 Speaker 2: this one because of him. 290 00:14:31,080 --> 00:14:33,200 Speaker 1: Yeah, Jonathan Baby sounds crazy. 291 00:14:33,280 --> 00:14:35,840 Speaker 2: I'm just wick. It's not mine lane necessary thing, but 292 00:14:35,880 --> 00:14:36,320 Speaker 2: you've got. 293 00:14:36,160 --> 00:14:38,520 Speaker 1: Girls in the house who are going to be very excited. 294 00:14:38,560 --> 00:14:40,920 Speaker 1: We actually didn't see it this weekend, but I would 295 00:14:41,000 --> 00:14:41,920 Speaker 1: like to see it this week. 296 00:14:41,960 --> 00:14:43,760 Speaker 2: There's a lot of girls in the house and this movie, 297 00:14:43,840 --> 00:14:47,720 Speaker 2: to your point, seventy women makes sense. We're in the 298 00:14:47,680 --> 00:14:50,360 Speaker 2: theaters this weekend. Yes, it's the biggest opening ever for 299 00:14:50,440 --> 00:14:54,640 Speaker 2: a Broadway musical adaptation. Add the international ticket sales, this 300 00:14:54,680 --> 00:14:57,800 Speaker 2: thing did two hundred and fifty six million dollars over 301 00:14:57,840 --> 00:14:59,920 Speaker 2: the weekend. Also, Now You See Me three came in 302 00:15:00,080 --> 00:15:03,240 Speaker 2: and second at the box office. Predator bad Lands was three, 303 00:15:03,400 --> 00:15:06,360 Speaker 2: and then The Running Man dropped the fourth. 304 00:15:07,160 --> 00:15:10,200 Speaker 1: The box office needed a boost and Wicked provided it. 305 00:15:10,240 --> 00:15:13,240 Speaker 1: So that's pretty awesome and it'll have legs through the Yeah, 306 00:15:13,280 --> 00:15:15,040 Speaker 1: because we're still gonna you know, I think, oh this 307 00:15:15,080 --> 00:15:16,760 Speaker 1: week will be huge folks who didn't get to see 308 00:15:16,760 --> 00:15:19,360 Speaker 1: it this weekend. Absolutely movies or I don't know. I 309 00:15:19,400 --> 00:15:22,040 Speaker 1: love movies on holiday weeks. So all right, for the 310 00:15:22,080 --> 00:15:23,840 Speaker 1: final what too crowded? 311 00:15:23,880 --> 00:15:24,160 Speaker 2: Crowded? 312 00:15:24,600 --> 00:15:26,200 Speaker 1: Will you go? You know you go when we go 313 00:15:26,320 --> 00:15:28,400 Speaker 1: like at eleven am. It's it's pretty. 314 00:15:28,160 --> 00:15:29,880 Speaker 2: Cool, not a joke, folks, And we're not trying to 315 00:15:29,880 --> 00:15:32,720 Speaker 2: get just the matinate price. We just don't want people around. 316 00:15:34,000 --> 00:15:36,520 Speaker 1: All right. For the final leg of our run, beer 317 00:15:36,760 --> 00:15:41,320 Speaker 1: from recycled water. Okay, I mean recycled water. That sounds 318 00:15:41,600 --> 00:15:43,960 Speaker 1: that sounds fine to me. But what if we told 319 00:15:44,040 --> 00:15:48,560 Speaker 1: you it's made from recycled shower water and laundry water. 320 00:15:48,680 --> 00:15:49,600 Speaker 2: Doesn't make a difference to you. 321 00:15:49,760 --> 00:15:53,240 Speaker 1: Sounds different, right, it does sound different, but like, well, 322 00:15:53,280 --> 00:15:55,480 Speaker 1: we'll get into this. A San Francisco based I have 323 00:15:55,520 --> 00:15:57,920 Speaker 1: lots of thoughts. A San Francisco based company is starting 324 00:15:58,000 --> 00:16:02,920 Speaker 1: to sell what it calls shower our IPA not a 325 00:16:02,920 --> 00:16:04,640 Speaker 1: good name. I don't feel like that's gonna help sa 326 00:16:04,760 --> 00:16:07,280 Speaker 1: I don't think it will. And laundry Club Kolsh I. 327 00:16:07,280 --> 00:16:08,360 Speaker 2: Don't think that's a good name either. 328 00:16:08,360 --> 00:16:08,840 Speaker 1: I don't either. 329 00:16:09,040 --> 00:16:11,880 Speaker 2: But the beers are the first release from a fairly 330 00:16:11,920 --> 00:16:14,200 Speaker 2: new company called Epic out in the Bay Area. So 331 00:16:14,240 --> 00:16:16,760 Speaker 2: how does this work? They collect thousands of gallons of 332 00:16:16,800 --> 00:16:21,000 Speaker 2: water that goes down the drain or is lost in 333 00:16:21,040 --> 00:16:23,200 Speaker 2: the laundry. Now they just do that. You have to 334 00:16:23,280 --> 00:16:27,160 Speaker 2: have a system at a particular building to filter the water, 335 00:16:27,280 --> 00:16:29,240 Speaker 2: so it's not at all buildings. You can't just go 336 00:16:29,280 --> 00:16:31,640 Speaker 2: grab any water. But they're doing this at particular buildings. 337 00:16:31,760 --> 00:16:34,760 Speaker 2: They treat They take that water, treat it, get to 338 00:16:35,040 --> 00:16:37,480 Speaker 2: get it to the proper purification standards, and then use 339 00:16:37,480 --> 00:16:40,720 Speaker 2: it to make beer. Simple enough, But yes, specifically they 340 00:16:40,720 --> 00:16:44,000 Speaker 2: are going after water that is going down the drain 341 00:16:44,080 --> 00:16:46,480 Speaker 2: and the shower and going away in the laundry. 342 00:16:46,560 --> 00:16:49,320 Speaker 1: Where do beer makers get their water? Typically? Though, like 343 00:16:49,400 --> 00:16:53,400 Speaker 1: I actually don't know what we do with recycled water. 344 00:16:53,440 --> 00:16:57,200 Speaker 1: Could we be drinking it and ingesting it in ways 345 00:16:57,200 --> 00:16:59,440 Speaker 1: we don't even realize? Or do they have to disclose 346 00:17:00,120 --> 00:17:02,360 Speaker 1: this is coming from the shower drain, Like how do 347 00:17:02,400 --> 00:17:05,119 Speaker 1: they how do they is shower drain water and laundry 348 00:17:05,160 --> 00:17:08,600 Speaker 1: water put in a different place than sink water. 349 00:17:08,680 --> 00:17:11,840 Speaker 2: Well, it's not being toilet water, not being seen necessarily 350 00:17:11,840 --> 00:17:17,000 Speaker 2: as something you can or should be using again, So 351 00:17:17,040 --> 00:17:20,440 Speaker 2: they are going directly to the source. And what they're 352 00:17:20,440 --> 00:17:23,400 Speaker 2: doing is what you you. I'm sure they're prouds because 353 00:17:23,440 --> 00:17:25,399 Speaker 2: what you just did is the point. They are just 354 00:17:25,400 --> 00:17:28,239 Speaker 2: trying to bring attention to this idea that we are 355 00:17:28,400 --> 00:17:30,600 Speaker 2: being so wasteful. We have all this water and there's 356 00:17:30,600 --> 00:17:33,240 Speaker 2: a way to use it, and yes, you put it 357 00:17:33,280 --> 00:17:34,960 Speaker 2: in a new like when you talk about beer. 358 00:17:35,359 --> 00:17:38,920 Speaker 1: So they're hoping to get environmentalists to get behind their 359 00:17:39,040 --> 00:17:43,560 Speaker 1: beer because of the message it sends and how they're producing. 360 00:17:43,640 --> 00:17:45,439 Speaker 2: But it brings your attention to this idea of how 361 00:17:45,520 --> 00:17:48,160 Speaker 2: much we're wasting and recycled water. We talk about waste 362 00:17:48,160 --> 00:17:50,359 Speaker 2: all the time, but I mean, my mom told me 363 00:17:50,400 --> 00:17:52,200 Speaker 2: and my dad turned the water off, you wasting water 364 00:17:52,440 --> 00:17:53,800 Speaker 2: when I was at the house. But other than that, 365 00:17:53,800 --> 00:17:56,760 Speaker 2: what do they tell you? Cans, paper, cardboard, all these 366 00:17:56,760 --> 00:17:59,160 Speaker 2: things I'm told to recycle. I'm never told to recycle. 367 00:17:58,840 --> 00:18:02,560 Speaker 1: Water, that's true, But I don't think I really feel 368 00:18:03,200 --> 00:18:05,280 Speaker 1: good about drinking shower our IPA. 369 00:18:05,640 --> 00:18:08,560 Speaker 2: Okay, okay, the name is the work in progress. Folks. 370 00:18:08,600 --> 00:18:10,320 Speaker 2: Before we let you go, something we would like for 371 00:18:10,400 --> 00:18:14,280 Speaker 2: you to consider it is our quote of the day, 372 00:18:14,359 --> 00:18:16,800 Speaker 2: and this quote of the day comes to us from 373 00:18:17,520 --> 00:18:23,080 Speaker 2: Tatiana Schlosberg, the granddaughter of John F. Kennedy, who just 374 00:18:23,280 --> 00:18:25,920 Speaker 2: put out an essay over the weekend of The New Yorker. 375 00:18:25,920 --> 00:18:28,520 Speaker 2: We have been talking about and folks, a lot of worlds, 376 00:18:28,520 --> 00:18:30,199 Speaker 2: a lot of folks have been talking about her over the weekend. 377 00:18:30,240 --> 00:18:32,119 Speaker 2: But so many things in there moved us. But I 378 00:18:32,160 --> 00:18:36,919 Speaker 2: wanted to pluck out this kind of upbeat quote that 379 00:18:36,960 --> 00:18:40,600 Speaker 2: she gave us, and she said, I have never encountered 380 00:18:41,000 --> 00:18:43,920 Speaker 2: a group of people who are more competent, more full 381 00:18:43,960 --> 00:18:49,640 Speaker 2: of grace and empathy, more willing to serve others than nurses. 382 00:18:50,520 --> 00:18:55,400 Speaker 2: Nurses should take over. We talked about it when she said, like, damn, 383 00:18:55,520 --> 00:18:58,679 Speaker 2: that's it right there. Nurses are incredible. But when she 384 00:18:58,720 --> 00:19:00,919 Speaker 2: said nurses should take over, I thought that was a 385 00:19:00,920 --> 00:19:02,720 Speaker 2: sweet nod to the industry. 386 00:19:02,800 --> 00:19:06,680 Speaker 1: I agree, anyone who has spent any time being cared 387 00:19:06,680 --> 00:19:09,879 Speaker 1: for in a hospital, you walk away with such a 388 00:19:09,920 --> 00:19:13,119 Speaker 1: greater appreciation for those men and women who are there 389 00:19:13,320 --> 00:19:18,280 Speaker 1: throughout the night, no matter what, working holidays, working weekends, 390 00:19:18,359 --> 00:19:23,040 Speaker 1: working night shifts, and with smiles on their faces, doing 391 00:19:23,080 --> 00:19:29,040 Speaker 1: some of the most thankless work changing bedpants, dealing with 392 00:19:29,680 --> 00:19:32,680 Speaker 1: people who are probably not at their best in terms 393 00:19:32,760 --> 00:19:37,880 Speaker 1: of their temperament because they're in a hospital bed, perhaps uncomfortable, 394 00:19:37,960 --> 00:19:41,160 Speaker 1: and they're there to make you feel comfortable despite what's 395 00:19:41,200 --> 00:19:45,439 Speaker 1: going on in their lives. I appreciate that nod to nurses. 396 00:19:46,359 --> 00:19:47,879 Speaker 2: It was long, it was sweet, it was about her. 397 00:19:47,920 --> 00:19:49,520 Speaker 2: There was a lot in there. But I don't think 398 00:19:49,640 --> 00:19:52,400 Speaker 2: that's going to make headlines, but it's certainly jumped out 399 00:19:52,400 --> 00:19:55,040 Speaker 2: at us. So I have never encountered a group of 400 00:19:55,040 --> 00:19:57,440 Speaker 2: people who are more competent, more full of grace and empathy, 401 00:19:57,560 --> 00:20:02,040 Speaker 2: more willing to serve others than nurses. Nurses should take over. 402 00:20:02,200 --> 00:20:03,560 Speaker 2: I just thought that was a cool way. What if 403 00:20:03,600 --> 00:20:06,560 Speaker 2: a nurse was the president. What if nurses were in 404 00:20:06,640 --> 00:20:09,400 Speaker 2: the cabinet, What if mostly nurses were serving in Congress? 405 00:20:09,440 --> 00:20:12,520 Speaker 2: What of nurses? Right, there's just a mindset of temperament 406 00:20:12,600 --> 00:20:17,680 Speaker 2: that a nurse has, male female, just nurses. There's something 407 00:20:17,680 --> 00:20:20,200 Speaker 2: special about them. So glad we can make that nine. 408 00:20:20,240 --> 00:20:22,800 Speaker 2: We always appreciate you running with us, folks. For now, 409 00:20:22,840 --> 00:20:23,280 Speaker 2: I'm TJ. 410 00:20:23,359 --> 00:20:33,399 Speaker 1: Holmes and I'm Amy Roboch. Go have a wonderful Monday. Everybody,