1 00:00:00,120 --> 00:00:06,440 Speaker 1: This is a podcast from WR now ther Saturday Morning Show. 2 00:00:06,840 --> 00:00:07,960 Speaker 1: Here's Larry Minti. 3 00:00:08,880 --> 00:00:11,280 Speaker 2: Coming up this week on Saturday Morning, you have to 4 00:00:11,360 --> 00:00:15,680 Speaker 2: hear political analysts Melissa DeRosa and her takedown of Mayor 5 00:00:15,800 --> 00:00:20,200 Speaker 2: Zurun Mam Danni after his fake budget crisis. That's coming 6 00:00:20,280 --> 00:00:23,119 Speaker 2: up in just a minute. Ben Neuberg, the founder of 7 00:00:23,160 --> 00:00:26,480 Speaker 2: Thrive Well Infusion, has a touching story of how his 8 00:00:26,640 --> 00:00:30,960 Speaker 2: business is a testament to his mother who needed infusions. 9 00:00:31,560 --> 00:00:34,640 Speaker 2: Rich DeMuro from rich on Tech talks about the big 10 00:00:34,720 --> 00:00:38,519 Speaker 2: shakeup at Amazon and how it could affect you and 11 00:00:39,000 --> 00:00:43,519 Speaker 2: WR Movie Minted hosts Joe Numeier talks about the movies 12 00:00:43,560 --> 00:00:48,160 Speaker 2: that have been enshrined in the National Registry this year. Now, 13 00:00:48,240 --> 00:00:51,960 Speaker 2: let's get the Melissa de rosa Democratic political strategist and author. 14 00:00:52,840 --> 00:00:55,400 Speaker 2: It's funny. I think a lot of us saw that 15 00:00:55,560 --> 00:01:00,840 Speaker 2: news conference talking about the budget crisis that he you know, 16 00:01:00,920 --> 00:01:04,280 Speaker 2: within two and a half weeks, and I think a 17 00:01:04,280 --> 00:01:07,040 Speaker 2: lot of us kind of rolled our eyes when the 18 00:01:07,440 --> 00:01:10,840 Speaker 2: only way to fix this was exactly what he's been 19 00:01:10,880 --> 00:01:14,679 Speaker 2: asking for and not able to get tax increases on 20 00:01:14,720 --> 00:01:18,480 Speaker 2: the rich and on corporations. You put it much better 21 00:01:18,520 --> 00:01:21,480 Speaker 2: than I did in your post piece. But I think 22 00:01:21,520 --> 00:01:23,800 Speaker 2: a lot of people are with you on this, Melissa. 23 00:01:23,920 --> 00:01:26,840 Speaker 3: Well, good morning, Larry, thank you so much for having me. Yeah. No, 24 00:01:27,000 --> 00:01:29,240 Speaker 3: I mean watching that press conference was sort of a 25 00:01:29,400 --> 00:01:33,160 Speaker 3: surreal experience. I wasn't paying attention in A friend texted 26 00:01:33,240 --> 00:01:35,240 Speaker 3: me and said, are you watched? I turned it on 27 00:01:35,319 --> 00:01:37,320 Speaker 3: and I caught it, and it was like jaw on 28 00:01:37,360 --> 00:01:41,679 Speaker 3: the ground moment, like he just discovered that there was 29 00:01:41,720 --> 00:01:45,000 Speaker 3: this deficit and it had been hiding all this time. 30 00:01:45,640 --> 00:01:49,480 Speaker 3: And of course the culprit was Eric Adams, who hid 31 00:01:49,560 --> 00:01:53,560 Speaker 3: the numbers from the public, and evil Andrew Cuomo, who, 32 00:01:53,600 --> 00:01:56,920 Speaker 3: by the way, hasn't been in office in five years. 33 00:01:56,960 --> 00:02:02,160 Speaker 3: It was just the most absurd performance art I have 34 00:02:02,360 --> 00:02:06,200 Speaker 3: ever seen. Was just consistent with who this guy is, right, 35 00:02:06,320 --> 00:02:09,440 Speaker 3: never had a job, doesn't have any experience, has never 36 00:02:09,480 --> 00:02:13,240 Speaker 3: had any responsibilities, like rich kids, son of an Oscar 37 00:02:13,280 --> 00:02:17,120 Speaker 3: Award winning director, and you know, the people of New 38 00:02:17,200 --> 00:02:19,239 Speaker 3: York City. A million people voted for him, a million 39 00:02:19,240 --> 00:02:21,560 Speaker 3: people voted against him, but he won, and now we're 40 00:02:21,600 --> 00:02:25,120 Speaker 3: stuck with him. And what we saw was an Academy 41 00:02:25,120 --> 00:02:29,000 Speaker 3: Award winning performance. It's just I think didn't go over well. 42 00:02:29,040 --> 00:02:31,120 Speaker 3: I think maybe it played to some of his fans, 43 00:02:31,120 --> 00:02:33,960 Speaker 3: but anyone with a brain in their head saw right 44 00:02:34,080 --> 00:02:37,040 Speaker 3: through what he was doing, which was, you're right, so 45 00:02:37,160 --> 00:02:39,640 Speaker 3: he has into a way to raise taxes. 46 00:02:40,200 --> 00:02:43,440 Speaker 2: He is a great performer, and that's how he won. 47 00:02:43,560 --> 00:02:48,240 Speaker 2: That's how he became mayor with his performances in the subways, 48 00:02:48,680 --> 00:02:52,600 Speaker 2: on social media, in the videos that he constantly had out. 49 00:02:53,040 --> 00:02:55,680 Speaker 2: And he's a great performer when he's on national TV, 50 00:02:55,760 --> 00:02:58,400 Speaker 2: when he's on the view, when he's on CNN, it 51 00:02:58,480 --> 00:03:02,680 Speaker 2: turns out it right away. We can tell he's an 52 00:03:02,840 --> 00:03:07,000 Speaker 2: awful manager. He's an awful administrator. 53 00:03:06,840 --> 00:03:08,920 Speaker 3: An awful man. I mean, and look, you see it 54 00:03:08,960 --> 00:03:11,840 Speaker 3: with the snowstorm, and you know, my friends in the press, 55 00:03:12,120 --> 00:03:16,200 Speaker 3: which you know, guys, come up. Your job is to 56 00:03:16,240 --> 00:03:19,040 Speaker 3: actually scrutinize this guy. It's not to cheerlead for him. 57 00:03:19,040 --> 00:03:21,400 Speaker 3: And I think far too many of the members of 58 00:03:21,440 --> 00:03:24,600 Speaker 3: the media have become like activist journalists or like our 59 00:03:24,680 --> 00:03:28,079 Speaker 3: fanboys of this kid. But you know, I saw too 60 00:03:28,080 --> 00:03:30,920 Speaker 3: many stories where people were like, he passes early test 61 00:03:31,000 --> 00:03:35,520 Speaker 3: on snowstorm. Really ten people died as a direct result 62 00:03:35,600 --> 00:03:38,200 Speaker 3: of his policies where he said we are not going 63 00:03:38,280 --> 00:03:42,280 Speaker 3: to break down homeless encampments because people have a right 64 00:03:42,400 --> 00:03:45,040 Speaker 3: to live on the streets, which I don't know what 65 00:03:45,160 --> 00:03:49,680 Speaker 3: progressive thinking says, it's kind to leave people on the 66 00:03:49,720 --> 00:03:53,680 Speaker 3: streets to die, which is exactly what happened. I mean, 67 00:03:53,720 --> 00:03:56,600 Speaker 3: this was not the snowstorm of the century, Larry Right, 68 00:03:56,680 --> 00:04:00,160 Speaker 3: It was eleven inches. We have dealt with far or 69 00:04:00,200 --> 00:04:04,120 Speaker 3: worse before and on Blasio's watch, who I didn't think 70 00:04:04,240 --> 00:04:06,680 Speaker 3: very highly of. I'm sure your audience agreed. I thought 71 00:04:06,800 --> 00:04:08,920 Speaker 3: was a bit of a bumbling buffoon when it came 72 00:04:08,960 --> 00:04:12,960 Speaker 3: to management. Anything that didn't happen under him, that didn't 73 00:04:13,000 --> 00:04:15,840 Speaker 3: happen under Eric Adams. So you know, here we have 74 00:04:15,920 --> 00:04:17,720 Speaker 3: Zora on mom dummy, and they're saying, oh, pass his 75 00:04:17,800 --> 00:04:20,720 Speaker 3: early tests based on what because he put out some 76 00:04:20,800 --> 00:04:23,960 Speaker 3: TikTok videos saying like stay home and take care of 77 00:04:24,000 --> 00:04:26,880 Speaker 3: your neighbors. The sidewalks are still a mess to day. 78 00:04:27,320 --> 00:04:30,719 Speaker 3: The crosswalks are still a mess today. People can't get 79 00:04:30,720 --> 00:04:33,960 Speaker 3: on the buses that he pretends are such an important, 80 00:04:34,160 --> 00:04:37,120 Speaker 3: you know, transit part of the city. People can't get 81 00:04:37,160 --> 00:04:40,039 Speaker 3: on the buses because the snow isn't clear for people 82 00:04:40,040 --> 00:04:42,359 Speaker 3: to get on the buses. So I think out of 83 00:04:42,360 --> 00:04:45,680 Speaker 3: the Gate. He has been a disaster and that budget. 84 00:04:45,920 --> 00:04:48,479 Speaker 3: You know, Michigoth this week was just the cherry on 85 00:04:48,520 --> 00:04:49,280 Speaker 3: top of the cake. 86 00:04:49,920 --> 00:04:52,240 Speaker 2: No, it was a great performance, though, you're right, you know, 87 00:04:52,320 --> 00:04:55,880 Speaker 2: do you notice he didn't even smile one time? That smile? 88 00:04:56,040 --> 00:04:59,360 Speaker 3: No, no, no, he did his solemn zoran. He's got 89 00:04:59,360 --> 00:05:01,440 Speaker 3: a few. You know, there was the time when he 90 00:05:01,600 --> 00:05:04,520 Speaker 3: was pretending that there was all of this islamophobia. Meanwhile 91 00:05:04,560 --> 00:05:07,760 Speaker 3: you have actual anti Semitism raging across New York City, 92 00:05:08,000 --> 00:05:14,120 Speaker 3: people crashing into synagogues, hurling things that rabbis chanting, discussing 93 00:05:14,240 --> 00:05:17,279 Speaker 3: things that people walking into temples. And then you know, 94 00:05:17,320 --> 00:05:19,479 Speaker 3: he got up to that microphone and he cried he 95 00:05:19,520 --> 00:05:23,880 Speaker 3: had those fake phony crocodile tears. The zoron we got 96 00:05:24,160 --> 00:05:28,080 Speaker 3: this week was the solemn zoran, like I've just discovered 97 00:05:28,560 --> 00:05:31,520 Speaker 3: this bit. They've been hiding these this budget problem and 98 00:05:31,839 --> 00:05:34,560 Speaker 3: how garah Meyer hide something like this, and now we 99 00:05:34,680 --> 00:05:38,320 Speaker 3: must all come together and tax the rich in the corporations. 100 00:05:38,720 --> 00:05:41,720 Speaker 3: And you know he had this stat Larry that he kept, 101 00:05:41,720 --> 00:05:43,880 Speaker 3: and this is where he tried to pivot to blaming Cuomo, 102 00:05:44,320 --> 00:05:46,560 Speaker 3: who Zary said, oh, you know, there's been these systemic 103 00:05:46,640 --> 00:05:50,200 Speaker 3: shifts over the years where you've got fifty four percent 104 00:05:50,320 --> 00:05:53,640 Speaker 3: of taxes paid to New York State by New York City, 105 00:05:53,960 --> 00:05:56,839 Speaker 3: but we only get forty percent back. Except that's not 106 00:05:57,040 --> 00:05:59,960 Speaker 3: the truth. That's the number of people who work in 107 00:06:00,120 --> 00:06:02,480 Speaker 3: New York City, but a lot of those people live 108 00:06:02,640 --> 00:06:05,880 Speaker 3: in Long Islands. They live in Westchester, they live in Connecticut, 109 00:06:06,200 --> 00:06:08,680 Speaker 3: they live in New Jersey, and they don't actually benefit 110 00:06:08,720 --> 00:06:10,680 Speaker 3: from any of the services in New York City, but 111 00:06:10,720 --> 00:06:13,320 Speaker 3: they still pay the taxes there. When you do the 112 00:06:13,360 --> 00:06:17,960 Speaker 3: actual resident to what you get back, the ratio is 113 00:06:18,040 --> 00:06:20,880 Speaker 3: much smaller. It's about forty one to forty six percent. 114 00:06:20,920 --> 00:06:24,200 Speaker 3: And given the concentrated wealth in New York City, that's 115 00:06:24,320 --> 00:06:28,559 Speaker 3: nothing surrounding error. The reality is Long Island is actually 116 00:06:28,600 --> 00:06:31,040 Speaker 3: the people that get short changed. They carry much of 117 00:06:31,080 --> 00:06:33,880 Speaker 3: the load for upstate New York. So the whole thing 118 00:06:34,040 --> 00:06:37,240 Speaker 3: was performative. What he really wants is to raise taxes. 119 00:06:37,360 --> 00:06:40,039 Speaker 3: It's not about the why, it's the what. It's because 120 00:06:40,040 --> 00:06:44,280 Speaker 3: it's ideological. It's his you know, allegiance to the extremists 121 00:06:44,320 --> 00:06:47,360 Speaker 3: and the Democratic socialists of America, who all they really 122 00:06:47,400 --> 00:06:50,440 Speaker 3: care about is class warfare. It's not about what you 123 00:06:50,520 --> 00:06:54,080 Speaker 3: actually produce or do for people. And that's also evident 124 00:06:54,160 --> 00:06:56,240 Speaker 3: in the fact that he went out with Kathy Hockel 125 00:06:56,320 --> 00:06:59,880 Speaker 3: and the declared mission accomplished when he said, oh, we 126 00:07:00,080 --> 00:07:03,320 Speaker 3: got universal child's care, when he ran on free childcare 127 00:07:03,400 --> 00:07:06,440 Speaker 3: for every child starting at six weeks, and this like 128 00:07:06,600 --> 00:07:09,840 Speaker 3: handshake deal he got with Hochel is for essentially a 129 00:07:09,880 --> 00:07:13,960 Speaker 3: pilot program for two thousand slots for two year olds 130 00:07:14,000 --> 00:07:16,320 Speaker 3: in a state with over two hundred and twenty thousand 131 00:07:16,360 --> 00:07:19,320 Speaker 3: two year old. Wow about substance. 132 00:07:19,000 --> 00:07:23,400 Speaker 2: Man, well done, that was really good. You are going 133 00:07:23,480 --> 00:07:26,000 Speaker 2: to be the anti mom, Donnie. 134 00:07:26,960 --> 00:07:30,520 Speaker 3: That was really Someone's got to be the resistance, Larry, 135 00:07:30,520 --> 00:07:32,840 Speaker 3: And God knows, I'm not relying on the media to 136 00:07:32,840 --> 00:07:35,640 Speaker 3: do any real scrutinizing, So anytime you want to talk facts, 137 00:07:35,680 --> 00:07:37,360 Speaker 3: I'm happy to come on and go through it with 138 00:07:37,400 --> 00:07:38,000 Speaker 3: your listeners. 139 00:07:38,080 --> 00:07:40,640 Speaker 2: Oh that's wonderful. Thanks a lot, Melissa de Rose, a 140 00:07:40,760 --> 00:07:44,800 Speaker 2: Democratic political strategist and author. We'll talk again soon still 141 00:07:44,840 --> 00:07:48,640 Speaker 2: to come. If you use Apple air tags, they just 142 00:07:48,840 --> 00:07:52,520 Speaker 2: got a little better. Rich Demurro from rich On Tech 143 00:07:52,680 --> 00:07:55,520 Speaker 2: explains next back now to. 144 00:07:55,560 --> 00:08:00,000 Speaker 1: The WOOR Saturday Morning Show with Larry Mintime. 145 00:08:00,320 --> 00:08:04,400 Speaker 2: There is a TikTok revolt. A record number of people 146 00:08:04,520 --> 00:08:08,960 Speaker 2: are canceling TikTok because of their new terms of service. 147 00:08:09,840 --> 00:08:13,720 Speaker 2: Rich de Muro from rich on Tech explains, Rich, I'm 148 00:08:13,760 --> 00:08:16,280 Speaker 2: excited to talk to you about this. I am a 149 00:08:16,440 --> 00:08:19,680 Speaker 2: big air tag fan. I have air tags on everything. 150 00:08:19,720 --> 00:08:22,400 Speaker 2: As a matter of fact, there are two air tags 151 00:08:22,400 --> 00:08:26,400 Speaker 2: within handreach of me right now. So what is this 152 00:08:27,920 --> 00:08:29,360 Speaker 2: new update for the air tags. 153 00:08:29,960 --> 00:08:32,240 Speaker 4: Yeah, good morning to you, Larry. I hope you're thawing 154 00:08:32,280 --> 00:08:36,520 Speaker 4: out from the storm. Air tags have been very popular. 155 00:08:36,559 --> 00:08:38,480 Speaker 4: They were released about five years ago, if you can 156 00:08:38,520 --> 00:08:40,280 Speaker 4: believe it, and there has not been a new model 157 00:08:40,320 --> 00:08:43,400 Speaker 4: since then. Now we have the new air Tag two. 158 00:08:43,600 --> 00:08:45,559 Speaker 4: Apple of course doesn't call it that, They just say 159 00:08:45,600 --> 00:08:48,600 Speaker 4: it's the next generation air tag. And here are the 160 00:08:48,640 --> 00:08:52,000 Speaker 4: new features. Number one, it has a better chip inside, 161 00:08:52,280 --> 00:08:53,800 Speaker 4: which is going to mean you're gonna be able to 162 00:08:53,800 --> 00:08:57,040 Speaker 4: find it up to fifty percent further away than before. 163 00:08:57,200 --> 00:08:57,520 Speaker 2: Wow. 164 00:08:57,840 --> 00:09:00,720 Speaker 4: Bluetooth range is longer as well, a better chance of 165 00:09:00,760 --> 00:09:04,520 Speaker 4: locating it that way, and the speaker is fifty percent louder. 166 00:09:04,520 --> 00:09:06,560 Speaker 4: So that means if it's under a couch or it 167 00:09:06,640 --> 00:09:09,360 Speaker 4: fits far away, you'll be able to hear it and 168 00:09:09,400 --> 00:09:11,840 Speaker 4: then they added a new feature. You can actually use 169 00:09:11,920 --> 00:09:15,680 Speaker 4: precision finding from your Apple Watch, so you don't have 170 00:09:15,720 --> 00:09:17,400 Speaker 4: to pull out your phone if you want to track 171 00:09:17,480 --> 00:09:21,720 Speaker 4: something down. The prices are the same, the size is 172 00:09:21,800 --> 00:09:24,280 Speaker 4: the same, which means if you have any accessories, and 173 00:09:24,360 --> 00:09:27,079 Speaker 4: all the accessories out there still work with the new 174 00:09:27,120 --> 00:09:29,760 Speaker 4: air tags, but you don't have to replace them if 175 00:09:29,760 --> 00:09:31,599 Speaker 4: you already have these things. Like you said, Larry, you 176 00:09:31,679 --> 00:09:34,800 Speaker 4: got two of them right there, No need to replace them. 177 00:09:34,920 --> 00:09:36,800 Speaker 4: This is just when you're looking for some new ones. 178 00:09:37,000 --> 00:09:38,000 Speaker 4: Here are the new features. 179 00:09:38,040 --> 00:09:40,400 Speaker 2: Oh that's great. Just in case anybody doesn't know what 180 00:09:40,440 --> 00:09:42,800 Speaker 2: air tags are, there are these little tags. There are 181 00:09:42,800 --> 00:09:45,400 Speaker 2: little metal discs that you can put in your wallet 182 00:09:45,480 --> 00:09:47,920 Speaker 2: or your bag, or a hook onto your keys, or 183 00:09:48,120 --> 00:09:50,000 Speaker 2: put some on your kids to know where they are, 184 00:09:50,360 --> 00:09:53,280 Speaker 2: so you can track where something is in case you 185 00:09:53,400 --> 00:09:54,840 Speaker 2: lose or do you want to know where it is. 186 00:09:55,480 --> 00:09:57,000 Speaker 2: That that summed it up pretty. 187 00:09:56,720 --> 00:09:58,960 Speaker 4: Well, right, Yeah, you did a great job. You could 188 00:09:59,000 --> 00:09:59,640 Speaker 4: take my job. 189 00:09:59,800 --> 00:10:02,120 Speaker 2: No oh no, no no, no, let's talk about the 190 00:10:02,160 --> 00:10:03,800 Speaker 2: shakeup at Amazon. 191 00:10:04,240 --> 00:10:04,440 Speaker 5: Yeah. 192 00:10:04,480 --> 00:10:08,320 Speaker 4: So Amazon big big announcements this week, Number one, eliminating 193 00:10:08,520 --> 00:10:11,680 Speaker 4: sixteen thousand jobs. Now the company still has over a 194 00:10:11,679 --> 00:10:15,320 Speaker 4: million employees. So well, you know what, I don't quote 195 00:10:15,360 --> 00:10:17,280 Speaker 4: me on that. That sounds like a very high number. 196 00:10:17,320 --> 00:10:20,000 Speaker 4: I need to look that up, but sixteen thousand jobs. 197 00:10:20,520 --> 00:10:23,079 Speaker 4: As part of a restructuring effort, they say they want 198 00:10:23,080 --> 00:10:25,280 Speaker 4: to speed things up, they want to cut the red tape, 199 00:10:25,320 --> 00:10:27,800 Speaker 4: they want to reduce players. And this is what Amazon 200 00:10:27,880 --> 00:10:31,440 Speaker 4: is all about. They are constantly evolving their system and 201 00:10:31,480 --> 00:10:35,600 Speaker 4: their efficiency to focus on customers. And that's what they do. 202 00:10:35,679 --> 00:10:37,960 Speaker 4: They try things. If it doesn't work, they don't do 203 00:10:38,000 --> 00:10:40,400 Speaker 4: it anymore. And so we saw that again this week 204 00:10:40,600 --> 00:10:43,880 Speaker 4: with Amazon announcing that they're closing all of their Amazon 205 00:10:43,960 --> 00:10:47,800 Speaker 4: Go and their Amazon Fresh physical grocery stores. And so, 206 00:10:47,880 --> 00:10:50,000 Speaker 4: if you have one of these in your neighborhood, it's 207 00:10:50,040 --> 00:10:52,240 Speaker 4: either going to shut down as early as this weekend, 208 00:10:52,280 --> 00:10:54,640 Speaker 4: by the way, unless you're in California, they're leaving them 209 00:10:54,640 --> 00:10:57,880 Speaker 4: open a little bit longer. But some locations will turn 210 00:10:57,880 --> 00:11:00,559 Speaker 4: into Whole Foods, which I think would be pretty good 211 00:11:00,559 --> 00:11:02,120 Speaker 4: thing if you have one of these in your neighborhood. 212 00:11:02,160 --> 00:11:04,679 Speaker 2: You know, it's funny, you said, don't quote me on that, 213 00:11:05,840 --> 00:11:08,120 Speaker 2: and then I looked it up. It's one point five 214 00:11:08,320 --> 00:11:13,000 Speaker 2: six million to one point six million people worldwide work 215 00:11:13,040 --> 00:11:18,920 Speaker 2: for Amazon, that is, and that's wild acredable. I learned 216 00:11:18,920 --> 00:11:23,079 Speaker 2: something new there. What about what about the TikTok backlash? 217 00:11:23,160 --> 00:11:26,240 Speaker 2: I know TikTok has been a little controversial because it's 218 00:11:26,240 --> 00:11:29,120 Speaker 2: ties to China. Does this backlash have anything to do 219 00:11:29,200 --> 00:11:29,360 Speaker 2: with that? 220 00:11:30,120 --> 00:11:33,120 Speaker 4: Well, now it is. You know, they made the change 221 00:11:33,200 --> 00:11:37,760 Speaker 4: to being owned by US entities and so, but people 222 00:11:37,800 --> 00:11:39,559 Speaker 4: still don't like it. And the reason I don't like 223 00:11:39,600 --> 00:11:42,280 Speaker 4: it is because number One, they say that the people 224 00:11:42,320 --> 00:11:46,720 Speaker 4: that own this this app now they don't like Larry Ellison, 225 00:11:46,760 --> 00:11:49,120 Speaker 4: it's oracle, it's linked to some other people that that 226 00:11:49,320 --> 00:11:54,040 Speaker 4: some people don't appreciate. Number Two, the new terms of service, 227 00:11:55,040 --> 00:11:58,640 Speaker 4: they collect precise location now and all kinds of data 228 00:11:58,679 --> 00:12:01,560 Speaker 4: about the users that people don't like their And then 229 00:12:01,600 --> 00:12:04,120 Speaker 4: people are saying they're being censored. They're saying some of 230 00:12:04,160 --> 00:12:06,800 Speaker 4: the stuff they post on there is being censored, not 231 00:12:06,840 --> 00:12:09,160 Speaker 4: shown to people, or they can't even search for certain 232 00:12:09,200 --> 00:12:12,040 Speaker 4: things on there anymore. And so people have been deleting 233 00:12:12,080 --> 00:12:15,319 Speaker 4: the app. They've been vocal about their unhappiness with TikTok. 234 00:12:15,360 --> 00:12:16,719 Speaker 4: But I will tell you, Larry, I think at the 235 00:12:16,800 --> 00:12:19,080 Speaker 4: end of the day, this app is going to survive. 236 00:12:19,200 --> 00:12:21,360 Speaker 4: This is just a bump in the road, right. 237 00:12:21,240 --> 00:12:24,440 Speaker 2: Because there's so many users, they can lose twenty percent 238 00:12:24,480 --> 00:12:26,520 Speaker 2: and still be extremely popular, right. 239 00:12:26,880 --> 00:12:28,480 Speaker 4: Yeah, And I'm not even sure they're going to lose 240 00:12:28,520 --> 00:12:30,840 Speaker 4: that many people. I mean, people are emailing me saying, Rich, 241 00:12:30,880 --> 00:12:32,800 Speaker 4: I'm deleting this app. I don't want to accept the 242 00:12:32,840 --> 00:12:35,160 Speaker 4: new terms of service. But you know, we've heard this 243 00:12:35,240 --> 00:12:37,760 Speaker 4: before with a lot of these social media apps that 244 00:12:37,880 --> 00:12:42,480 Speaker 4: change things, people generally come back because they like the product. 245 00:12:43,520 --> 00:12:45,920 Speaker 2: You know what, this is a perfect story that you 246 00:12:46,040 --> 00:12:49,280 Speaker 2: have here for what we're going through right now. We 247 00:12:49,400 --> 00:12:51,800 Speaker 2: just had a big winter storm. We have another one. 248 00:12:52,040 --> 00:12:54,120 Speaker 2: Nobody knows if it's going to hit us or not. 249 00:12:54,640 --> 00:12:58,320 Speaker 2: Wouldn't it be great if you have a a app 250 00:12:58,400 --> 00:13:00,440 Speaker 2: you can count on to tell you the way on 251 00:13:00,480 --> 00:13:02,959 Speaker 2: your phone. But who knows. There's so many of them 252 00:13:03,000 --> 00:13:05,079 Speaker 2: out there. Which one do you get? 253 00:13:05,520 --> 00:13:08,120 Speaker 4: There are so many. I mean, people have a very 254 00:13:08,920 --> 00:13:12,520 Speaker 4: interesting relationship with their weather apps. Like my wife loves weather. 255 00:13:12,679 --> 00:13:15,400 Speaker 4: She checks it every day, all day, all the time. 256 00:13:15,480 --> 00:13:19,760 Speaker 4: I mean she she's like a forecaster basically. But you know, 257 00:13:19,840 --> 00:13:22,000 Speaker 4: all these apps are different. My friend over at nine 258 00:13:22,000 --> 00:13:25,160 Speaker 4: to five Google Ben shown he actually you know he 259 00:13:25,240 --> 00:13:27,480 Speaker 4: lives in North Carolina where all these you know, the 260 00:13:27,520 --> 00:13:30,360 Speaker 4: storm was hit pretty bad. So he downloaded a whole 261 00:13:30,360 --> 00:13:33,800 Speaker 4: bunch of apps, ACU Weather, Weather Underground, hyper Local, dark 262 00:13:33,840 --> 00:13:37,800 Speaker 4: Sky Forica, which I haven't really heard of, the Weather Channel, 263 00:13:38,040 --> 00:13:40,920 Speaker 4: and then Google's Pixel weather app. And he said that 264 00:13:41,400 --> 00:13:43,560 Speaker 4: the Pixel app that they've hyped so much with this 265 00:13:43,640 --> 00:13:47,880 Speaker 4: AI forecasting actually was the worst. He said that ACU 266 00:13:48,000 --> 00:13:51,040 Speaker 4: Weather and Weather Channel turned out to be the best. 267 00:13:51,640 --> 00:13:54,280 Speaker 4: And I discovered on the ACU weather app they actually 268 00:13:54,320 --> 00:13:57,319 Speaker 4: offer a ninety day forecast, which is just insane. I've 269 00:13:57,360 --> 00:13:59,080 Speaker 4: never heard of that, but you do have to be 270 00:13:59,120 --> 00:14:02,120 Speaker 4: a paying subscriber. Apple was not part of this, but 271 00:14:02,160 --> 00:14:03,920 Speaker 4: they did buy a company a couple of years ago 272 00:14:04,000 --> 00:14:09,000 Speaker 4: called dark Sky, which people love for their hyper local forecasts. 273 00:14:09,280 --> 00:14:11,480 Speaker 4: So that's part of Apple Weather now. And I'm just 274 00:14:11,480 --> 00:14:14,120 Speaker 4: going to toss one more out there that I personally love, 275 00:14:14,400 --> 00:14:20,760 Speaker 4: especially for storms approaching. It's called Tomorrow tom r row Io, 276 00:14:21,120 --> 00:14:23,880 Speaker 4: and this one is great for not only storms, but 277 00:14:24,800 --> 00:14:29,440 Speaker 4: storm tracking like hurricanes. It is my favorite Tomorrow. In fact, 278 00:14:29,920 --> 00:14:33,840 Speaker 4: when we had a hurricane, a major storm here in 279 00:14:33,920 --> 00:14:37,400 Speaker 4: Los Angeles, in the Los Angeles area, they actually I 280 00:14:37,440 --> 00:14:38,880 Speaker 4: saw it there first and I was like, wait, what's 281 00:14:38,920 --> 00:14:41,160 Speaker 4: happening here? We're having a tropical storm come near us, 282 00:14:41,560 --> 00:14:42,840 Speaker 4: And it was on that app. 283 00:14:43,160 --> 00:14:46,040 Speaker 2: Rich DeMuro rich on Tech has heard Sunday nights from 284 00:14:46,080 --> 00:14:49,480 Speaker 2: eight to eleven on WOR. You can also reach out 285 00:14:49,600 --> 00:14:53,600 Speaker 2: at rich on Tech on Instagram. He is the founder 286 00:14:53,680 --> 00:14:57,840 Speaker 2: of a business that saves thousands of lives. We'll talk 287 00:14:57,960 --> 00:15:01,240 Speaker 2: with Ben Neuberg, the founder and the CEO of Thrive 288 00:15:01,280 --> 00:15:06,400 Speaker 2: Well Infusion. Now, we don't usually get good movies from 289 00:15:06,440 --> 00:15:10,960 Speaker 2: Hollywood in January, but Movie Minute host Joe Neumeyer says 290 00:15:11,040 --> 00:15:15,680 Speaker 2: the movies release this month have been surprisingly good. Joe 291 00:15:15,720 --> 00:15:17,720 Speaker 2: is coming up on Saturday Morning. 292 00:15:18,480 --> 00:15:23,120 Speaker 1: Here's Larry Minting with more of the WOOR Saturday Morning Show. 293 00:15:23,520 --> 00:15:28,080 Speaker 2: Their motto is they save lives drip by drip. Thrive 294 00:15:28,120 --> 00:15:31,680 Speaker 2: Well Infusion has grown into a huge medical company that 295 00:15:31,760 --> 00:15:35,520 Speaker 2: has saved thousands of lives, but it all started with 296 00:15:35,600 --> 00:15:40,560 Speaker 2: a very personal mission to save one life. Here's Ben Neubergh, 297 00:15:40,680 --> 00:15:44,640 Speaker 2: founder and CEO of Thrive Well Infusion. Ben, it's great 298 00:15:44,640 --> 00:15:45,160 Speaker 2: to talk to you. 299 00:15:45,560 --> 00:15:47,760 Speaker 6: Yeah, great talking to you, Larry. Thanks for having me. 300 00:15:47,880 --> 00:15:49,960 Speaker 2: I'll tell you what God bless you for what you do. 301 00:15:50,360 --> 00:15:53,520 Speaker 2: You make what could be a bad experience a little 302 00:15:53,520 --> 00:15:56,280 Speaker 2: bit better for people that have to get infusions. It 303 00:15:56,400 --> 00:15:59,280 Speaker 2: was such a great idea. I know you founded this company. 304 00:15:59,520 --> 00:16:00,680 Speaker 2: How did you come up with this? 305 00:16:01,640 --> 00:16:06,200 Speaker 6: So I did it with my brother and doctor sen Gupta. 306 00:16:06,240 --> 00:16:08,880 Speaker 6: We got together and the main reason for doing it 307 00:16:08,920 --> 00:16:13,280 Speaker 6: was our mom. She was getting treatments in a hospital facility, 308 00:16:14,360 --> 00:16:20,880 Speaker 6: fusion facility for her rheumatoid arthritis treatments, and we started 309 00:16:20,880 --> 00:16:23,880 Speaker 6: to realize like this was a serious process just to 310 00:16:23,920 --> 00:16:27,120 Speaker 6: get a forty five minute in fusion that was maintenance 311 00:16:27,160 --> 00:16:30,400 Speaker 6: those therapies for the rest of our life. And we said, 312 00:16:30,400 --> 00:16:31,880 Speaker 6: there's got to be a better way to do this. 313 00:16:32,920 --> 00:16:36,680 Speaker 6: And we started to take our own time, money, and 314 00:16:36,720 --> 00:16:40,320 Speaker 6: effort and figuring out a way around a very complex 315 00:16:40,360 --> 00:16:44,800 Speaker 6: healthcare system as we know today, in developing a private 316 00:16:44,840 --> 00:16:50,280 Speaker 6: treatment room and more suitable facility for somebody of my 317 00:16:50,360 --> 00:16:55,480 Speaker 6: mom's stature, being our mom. And we ventured out to 318 00:16:55,560 --> 00:16:58,600 Speaker 6: doing it, and next thing you know, we had people 319 00:16:58,640 --> 00:17:00,320 Speaker 6: coming in off the street asking if we can do 320 00:17:00,360 --> 00:17:02,760 Speaker 6: it because we had private treatment rooms versus what the 321 00:17:02,760 --> 00:17:08,159 Speaker 6: hospitals were offering, and the complexities of the healthcare system 322 00:17:08,200 --> 00:17:11,000 Speaker 6: make it very difficult for patients to get on therapy 323 00:17:11,960 --> 00:17:15,199 Speaker 6: through the complex authorization process. And we took that and 324 00:17:15,240 --> 00:17:18,719 Speaker 6: we started to figure out ways around and maneuver and 325 00:17:18,760 --> 00:17:20,520 Speaker 6: get that done in a more efficient way. 326 00:17:21,280 --> 00:17:24,560 Speaker 2: And what made you continue on with this? I mean, 327 00:17:24,600 --> 00:17:26,840 Speaker 2: you did it for your mom, but you continued on. 328 00:17:27,680 --> 00:17:30,000 Speaker 2: And I know that your God bless her and your 329 00:17:30,000 --> 00:17:32,880 Speaker 2: mom passed on, but you continued with this. You thought 330 00:17:32,880 --> 00:17:34,919 Speaker 2: it was that important to do this for other people. 331 00:17:35,400 --> 00:17:37,639 Speaker 6: Yeah, what happened was, you know, we did it for 332 00:17:37,760 --> 00:17:40,800 Speaker 6: my mom, and then when we looked up my mom 333 00:17:41,040 --> 00:17:45,000 Speaker 6: a year and a year in probably about fourteen fifteen 334 00:17:45,000 --> 00:17:47,960 Speaker 6: months after she was going through the treatments with us, 335 00:17:48,320 --> 00:17:53,200 Speaker 6: she was diagnosed with pancreatic cancer stage four and had 336 00:17:53,240 --> 00:17:57,600 Speaker 6: passed away, thank you, and had passed away. And me 337 00:17:57,720 --> 00:17:59,960 Speaker 6: and my brothers and my sister who were sitting there 338 00:18:00,000 --> 00:18:03,240 Speaker 6: and we were talking. It was like probably about a 339 00:18:03,240 --> 00:18:05,239 Speaker 6: week and a half after when we decided, you know, 340 00:18:06,000 --> 00:18:09,119 Speaker 6: do we you know, stop doing this because our mission 341 00:18:09,200 --> 00:18:13,080 Speaker 6: was basically for my mom and there really wasn't any 342 00:18:13,119 --> 00:18:15,240 Speaker 6: other incentives in it. You know, I was in the 343 00:18:15,280 --> 00:18:18,399 Speaker 6: jewelry business, my brother was in the construction business. You know, 344 00:18:19,160 --> 00:18:22,240 Speaker 6: we weren't guys in healthcare business, we weren't guys navigating 345 00:18:22,240 --> 00:18:28,000 Speaker 6: the system. Do we just pass this on or do 346 00:18:28,160 --> 00:18:31,720 Speaker 6: we continue to go forward in her name? And we 347 00:18:31,800 --> 00:18:33,800 Speaker 6: made a decision to go forward in her name because 348 00:18:33,800 --> 00:18:36,080 Speaker 6: we turned around and saw that we had tens of 349 00:18:36,119 --> 00:18:39,040 Speaker 6: thousands of patients and we're like, we can't let these 350 00:18:39,080 --> 00:18:42,159 Speaker 6: people down. Mom wouldn't want that, So we continue to 351 00:18:42,200 --> 00:18:42,760 Speaker 6: go forward. 352 00:18:43,359 --> 00:18:45,560 Speaker 2: Yeah, what is it like when you go for an 353 00:18:45,560 --> 00:18:48,680 Speaker 2: infusion because you've been through this in the hospital as 354 00:18:48,720 --> 00:18:51,960 Speaker 2: compared to going to a thrive well center. 355 00:18:52,119 --> 00:18:55,760 Speaker 6: That's a great question. You know, some hospitals have better 356 00:18:56,440 --> 00:19:00,959 Speaker 6: suitable environments these days. And again, everybody who is in 357 00:19:01,040 --> 00:19:05,360 Speaker 6: healthcare is every nurse and every doctors out there there 358 00:19:05,359 --> 00:19:09,600 Speaker 6: really are all heroes. They're really doing God's work. And 359 00:19:09,600 --> 00:19:13,560 Speaker 6: I want to preference that because we just do it better. 360 00:19:13,800 --> 00:19:17,960 Speaker 6: We do it the best we can. We're focused on therapeutics, 361 00:19:18,000 --> 00:19:21,160 Speaker 6: we're focused on maintenance those treatments for patients and staying 362 00:19:21,200 --> 00:19:25,000 Speaker 6: on therapy. Whereas hospitals sometimes there's a lot of things 363 00:19:25,000 --> 00:19:27,680 Speaker 6: that go around it. So when a patient gets prescribed 364 00:19:27,680 --> 00:19:31,600 Speaker 6: and when a patient gets diagnosed with unfortunately a chronic disease, 365 00:19:32,400 --> 00:19:36,719 Speaker 6: it's a life changing, life altering event, and they go 366 00:19:36,920 --> 00:19:41,000 Speaker 6: through various different things throughout their mind and they're trying 367 00:19:41,040 --> 00:19:46,800 Speaker 6: to navigate that already. It's very, very very complex, and 368 00:19:46,840 --> 00:19:50,280 Speaker 6: it takes time to navigate that alone. They're also financial 369 00:19:50,320 --> 00:19:53,160 Speaker 6: anxieties that come along with it. But that's even after 370 00:19:53,359 --> 00:19:56,960 Speaker 6: and the hospitals are so inundated and so short staffed 371 00:19:57,160 --> 00:20:02,200 Speaker 6: that they don't necessarily understand how to explain all this 372 00:20:02,640 --> 00:20:05,840 Speaker 6: to a patient because they don't have the depth that 373 00:20:05,880 --> 00:20:08,919 Speaker 6: we have. Because it's our swim lane, right, this is 374 00:20:08,960 --> 00:20:12,359 Speaker 6: the only thing we do. Hospitals are doing multiple other 375 00:20:12,440 --> 00:20:16,240 Speaker 6: things and there are multiple other categories within that segment, 376 00:20:16,920 --> 00:20:19,800 Speaker 6: and they do a great job, a phenomenal job. And 377 00:20:19,800 --> 00:20:22,520 Speaker 6: I'm never say anybody who's helping people is not doing 378 00:20:22,520 --> 00:20:25,040 Speaker 6: a phenomenal job, because they are literally giving their time 379 00:20:25,119 --> 00:20:29,280 Speaker 6: to help people, and that's a huge good deed in 380 00:20:29,320 --> 00:20:34,359 Speaker 6: anybody's part. It's just when it comes to this type 381 00:20:34,359 --> 00:20:37,280 Speaker 6: of treatment or these treatments that we do, all eighty 382 00:20:37,320 --> 00:20:41,479 Speaker 6: plus therapies that we offer, you know, we go above 383 00:20:41,520 --> 00:20:44,200 Speaker 6: and beyond and look to be the best and best 384 00:20:44,240 --> 00:20:47,159 Speaker 6: at what we can do. We have private rooms so 385 00:20:47,200 --> 00:20:49,879 Speaker 6: that when a patient comes in they come into a 386 00:20:49,920 --> 00:20:52,640 Speaker 6: private room. There are infusion lass a certain amount of time, 387 00:20:52,920 --> 00:20:55,359 Speaker 6: the patient is there for that amount of time. There's 388 00:20:55,400 --> 00:20:58,240 Speaker 6: no extra time before on intake, and you don't have 389 00:20:58,320 --> 00:21:02,640 Speaker 6: to go through layers of community. There's a direct communication, 390 00:21:03,119 --> 00:21:05,240 Speaker 6: so you know when your appointment is, you show up, 391 00:21:05,280 --> 00:21:09,199 Speaker 6: your appointment, your room is ready, you're treated. There's no 392 00:21:09,760 --> 00:21:13,320 Speaker 6: layers on the back end of discharge and you go 393 00:21:13,400 --> 00:21:16,919 Speaker 6: through all that process. It eliminates all of that and 394 00:21:16,960 --> 00:21:19,400 Speaker 6: it makes it much easier for a patient to go 395 00:21:19,520 --> 00:21:23,240 Speaker 6: through a very difficult situation but minimize the amount of 396 00:21:23,280 --> 00:21:26,520 Speaker 6: complexities that are wrapped around it. And by putting them 397 00:21:26,520 --> 00:21:29,360 Speaker 6: in a private treatment room, there's more dignity in that 398 00:21:29,840 --> 00:21:34,119 Speaker 6: there's a companion chair. There's distractions that we call, you know, 399 00:21:34,200 --> 00:21:38,680 Speaker 6: patient distractions. We call them in a good way, TV, audio, books, anything, 400 00:21:38,720 --> 00:21:42,520 Speaker 6: they could do, some snacks when allowed for their treatments, 401 00:21:43,280 --> 00:21:46,240 Speaker 6: different things like that. It's a little different in the 402 00:21:46,280 --> 00:21:49,120 Speaker 6: hospital sometimes because they're a lot more busier and they're 403 00:21:49,119 --> 00:21:52,800 Speaker 6: dealing with a lot more disease states and a lot 404 00:21:52,880 --> 00:21:57,240 Speaker 6: more movement in a hospital, and sometimes you know there 405 00:21:58,000 --> 00:22:00,199 Speaker 6: is a nurse ratio that's a little higher in a 406 00:22:00,240 --> 00:22:04,160 Speaker 6: hospital versus us. We have a very comforting nurse ratio 407 00:22:04,240 --> 00:22:04,920 Speaker 6: of two to one. 408 00:22:05,000 --> 00:22:07,480 Speaker 2: I think we all get it. Anything is better. So 409 00:22:07,560 --> 00:22:10,400 Speaker 2: if you go to a store and they sell nine 410 00:22:10,480 --> 00:22:13,200 Speaker 2: hundred different products, it's better to go to a store 411 00:22:13,200 --> 00:22:16,600 Speaker 2: that just deals with the one product. And that's sort 412 00:22:16,600 --> 00:22:19,800 Speaker 2: of what you do with infusions, that's all you deal with. 413 00:22:20,080 --> 00:22:23,560 Speaker 2: So it is going to be that much better boutique style. 414 00:22:24,040 --> 00:22:27,399 Speaker 2: Ben Newburgh, founder and CEO of Thrive Will Infusion, and 415 00:22:27,480 --> 00:22:31,480 Speaker 2: our partner in honoring those who heal with heart are 416 00:22:31,600 --> 00:22:34,800 Speaker 2: Heroes of Healing. To nominate a Hero of Healing, go 417 00:22:34,880 --> 00:22:40,320 Speaker 2: to seven ten wr dot com slash Hero. Movie Minute 418 00:22:40,320 --> 00:22:43,720 Speaker 2: host Joe Neumeyer is up next with what to watch 419 00:22:43,800 --> 00:22:45,080 Speaker 2: this weekend. 420 00:22:45,480 --> 00:22:50,160 Speaker 1: Now, more of the WOOR Saturday Morning Show and Larry Minte. 421 00:22:50,800 --> 00:22:54,680 Speaker 2: So January is traditionally not a month for great movies, 422 00:22:54,720 --> 00:22:57,800 Speaker 2: but January twenty twenty six has proved to be different, 423 00:22:57,880 --> 00:23:02,160 Speaker 2: according to Movie Minted host Joe Numeier, is the rumor true? 424 00:23:02,720 --> 00:23:04,760 Speaker 2: Is there a movie out there that you really like? 425 00:23:05,080 --> 00:23:07,359 Speaker 5: We've been talking about how weird January is. This has 426 00:23:07,400 --> 00:23:09,520 Speaker 5: actually been not a bad January, with movies like The 427 00:23:09,560 --> 00:23:12,040 Speaker 5: Bone Temple and Mercy that I thought were good. So 428 00:23:12,200 --> 00:23:14,919 Speaker 5: this week Larry comes another one. I liked Shelter. I 429 00:23:14,960 --> 00:23:18,240 Speaker 5: thought that it's a Jason Stathum movie. As an action guy, 430 00:23:18,280 --> 00:23:20,080 Speaker 5: I think his stuff really works. So this movie this 431 00:23:20,280 --> 00:23:23,280 Speaker 5: week is called Shelter, and it's kind of a basic idea. 432 00:23:23,400 --> 00:23:25,800 Speaker 5: Is a guy living alone on a lighthouse off the 433 00:23:25,840 --> 00:23:30,320 Speaker 5: British coast, and essentially bad guys come into the come 434 00:23:30,359 --> 00:23:32,760 Speaker 5: onto the island and he has to take the orphaned 435 00:23:32,840 --> 00:23:34,840 Speaker 5: girl who she and her uncle have been kind of 436 00:23:34,840 --> 00:23:37,360 Speaker 5: giving him supplies for a while. The youuncle is killed, 437 00:23:37,400 --> 00:23:39,160 Speaker 5: he has to take her as he runs from these 438 00:23:39,320 --> 00:23:42,239 Speaker 5: MI six agents. I'm not giving anything away, and so 439 00:23:42,280 --> 00:23:44,480 Speaker 5: it turns out that he was part of a previous 440 00:23:44,520 --> 00:23:47,679 Speaker 5: program with British intelligence and now they're coming back to 441 00:23:47,720 --> 00:23:50,560 Speaker 5: get him. Basic idea, but I think that Statum really 442 00:23:50,600 --> 00:23:52,920 Speaker 5: makes it work. He sort of sells it, and I think, 443 00:23:52,960 --> 00:23:55,080 Speaker 5: like without having the film try and do too much, 444 00:23:55,440 --> 00:23:58,399 Speaker 5: you know, like there's cool action bits, but it doesn't 445 00:23:58,520 --> 00:24:02,160 Speaker 5: nobody's dangling off that building in Shanghai or something. It's 446 00:24:02,160 --> 00:24:04,480 Speaker 5: not like a Mission Impossible film. It's very pared down 447 00:24:04,920 --> 00:24:07,280 Speaker 5: and sharp. So I'm giving a three stars. I totally 448 00:24:07,280 --> 00:24:09,679 Speaker 5: agree with you right, He's an action star that I 449 00:24:09,720 --> 00:24:11,600 Speaker 5: feel like you want to go see those movies to 450 00:24:11,640 --> 00:24:14,119 Speaker 5: see what he does. Jar Butler's fine all these guys, 451 00:24:14,119 --> 00:24:15,720 Speaker 5: but I think Stathen is kind of one of the 452 00:24:15,720 --> 00:24:18,360 Speaker 5: guys that I think an action thing always always worth 453 00:24:18,440 --> 00:24:19,080 Speaker 5: watching with him. 454 00:24:19,359 --> 00:24:20,480 Speaker 2: What about Send Help? 455 00:24:20,720 --> 00:24:22,760 Speaker 5: This is a different one now I wish I liked 456 00:24:22,800 --> 00:24:25,320 Speaker 5: it more, so Send Help. I'm giving Shelter three stars. 457 00:24:25,359 --> 00:24:28,000 Speaker 5: I'm giving Send Help two stars. It's a fun idea. 458 00:24:28,040 --> 00:24:31,080 Speaker 5: It's about a kind of a mousey office worker played 459 00:24:31,080 --> 00:24:33,360 Speaker 5: by Rachel McAdams, who I always really like. Actually, i've 460 00:24:33,400 --> 00:24:37,760 Speaker 5: liked her for says wedding crashers, and she's crash lands 461 00:24:38,040 --> 00:24:40,720 Speaker 5: on a from a plane on an island with her boss, 462 00:24:40,760 --> 00:24:43,719 Speaker 5: and her boss is really obnoxious. They're the only two survivors, 463 00:24:43,920 --> 00:24:46,640 Speaker 5: and so the dynamic has to be sort of obviously 464 00:24:46,680 --> 00:24:48,840 Speaker 5: he's still trying to be a jerky boss, but she 465 00:24:49,000 --> 00:24:51,520 Speaker 5: actually knows survival skills and she can keep them alive. 466 00:24:51,920 --> 00:24:55,920 Speaker 5: It's a little like Misery, you know, less like Castaway 467 00:24:55,960 --> 00:24:58,560 Speaker 5: and more like the Rob Reiner film Misery, where she's 468 00:24:58,600 --> 00:25:00,720 Speaker 5: sort of he's wounded, so she's sort of has him 469 00:25:00,760 --> 00:25:02,600 Speaker 5: over a barrel in a lot of ways. It also 470 00:25:02,640 --> 00:25:04,399 Speaker 5: reminds me not to get a little too film geeky. 471 00:25:04,440 --> 00:25:05,760 Speaker 5: But it reminds me of a movie called Hell in 472 00:25:05,760 --> 00:25:09,120 Speaker 5: the Pacific from nineteen sixty eight with Lee Marvin at 473 00:25:09,119 --> 00:25:12,119 Speaker 5: the Shrimafune as a as an American and a Japanese 474 00:25:12,359 --> 00:25:15,320 Speaker 5: two Americans to American soldier and a Japanese soldier on 475 00:25:15,400 --> 00:25:17,920 Speaker 5: an island in the Pacific who start fighting each other. 476 00:25:18,840 --> 00:25:21,000 Speaker 5: I'm getting it two stars because it really bags down 477 00:25:21,000 --> 00:25:23,399 Speaker 5: in the middle, like it's really boring. The start is 478 00:25:23,440 --> 00:25:25,360 Speaker 5: really good, the ending is really good. I just really 479 00:25:25,440 --> 00:25:28,800 Speaker 5: wish that middle hour hour and fifteen minutes was better 480 00:25:28,840 --> 00:25:31,200 Speaker 5: for scent help, But you know it's it's definitely you 481 00:25:31,240 --> 00:25:33,240 Speaker 5: feel like you're on a desert island, if that helps. 482 00:25:32,960 --> 00:25:35,040 Speaker 2: You know. If I were to name my top ten 483 00:25:35,119 --> 00:25:38,840 Speaker 2: favorite movies and maybe even my top five, Rachel McAdams 484 00:25:38,920 --> 00:25:43,720 Speaker 2: is in one of them, Spotlight I Love. Yeah, she was. 485 00:25:43,720 --> 00:25:45,879 Speaker 5: Oscar nominated for that. Yeah, she was the one acting 486 00:25:45,920 --> 00:25:48,760 Speaker 5: nominee from that from that film. So and then you know, 487 00:25:48,760 --> 00:25:51,280 Speaker 5: we're talking about classic movies with Hell in the Pacific 488 00:25:51,359 --> 00:25:54,000 Speaker 5: and classic Rachel mcadam's movies. Did you see the National 489 00:25:54,000 --> 00:25:54,640 Speaker 5: Film Registry. 490 00:25:54,760 --> 00:25:57,720 Speaker 2: I'm looking at it right now as we're talking people nominee. 491 00:25:57,720 --> 00:26:00,800 Speaker 5: I always really enjoyed this because people nominated really comes 492 00:26:00,920 --> 00:26:03,439 Speaker 5: it comes from people. And what I love about this 493 00:26:03,440 --> 00:26:05,960 Speaker 5: this batch of films this year, which is just as 494 00:26:05,960 --> 00:26:09,120 Speaker 5: a recap for people. Twenty five films are chosen every year. 495 00:26:09,119 --> 00:26:11,120 Speaker 5: They've been going back to like nineteen eighty eight. There's 496 00:26:11,119 --> 00:26:13,680 Speaker 5: almost a thousand in there now. For president. They want 497 00:26:13,680 --> 00:26:16,479 Speaker 5: to be you know, where they're preserved for aesthetic reasons 498 00:26:16,520 --> 00:26:20,040 Speaker 5: or cultural or historical stuff. This year's batch is pretty good. 499 00:26:20,119 --> 00:26:23,040 Speaker 5: The thing I love is The Thing from nineteen eighty 500 00:26:23,080 --> 00:26:26,120 Speaker 5: two was the most nominated film. It's a great film 501 00:26:26,160 --> 00:26:28,760 Speaker 5: and it's so scary. I watched every Halloween. But I 502 00:26:28,800 --> 00:26:31,000 Speaker 5: love that that's the film that most people said, get 503 00:26:31,000 --> 00:26:33,440 Speaker 5: this in the film registry. It needs to be preserved. 504 00:26:33,720 --> 00:26:35,560 Speaker 2: I don't think i've ever seen The Thing. 505 00:26:36,280 --> 00:26:38,080 Speaker 5: Oh, you've got to see it. It's a remake of 506 00:26:38,119 --> 00:26:41,000 Speaker 5: the fifties movie. It's really really good. It's Kurt Russell's 507 00:26:41,000 --> 00:26:44,560 Speaker 5: directed by John Carpenter. They're on an on an Arctic 508 00:26:44,640 --> 00:26:48,160 Speaker 5: station and there's an alien there. Oh, it's fantastic, Larry, 509 00:26:48,200 --> 00:26:49,840 Speaker 5: It's great. One of the great movies. 510 00:26:49,920 --> 00:26:51,560 Speaker 2: I don't know how I missed it. I don't know 511 00:26:51,600 --> 00:26:54,520 Speaker 2: how I missed that. And I love I love the 512 00:26:54,600 --> 00:26:58,119 Speaker 2: movies that are on this list. Almost of the ones, 513 00:26:58,160 --> 00:27:03,320 Speaker 2: I know every one of them is worthy of this show. 514 00:27:03,920 --> 00:27:07,359 Speaker 5: Oh absolutely, yes, yes, yeah, yeah, what are you gonna asker? 515 00:27:07,560 --> 00:27:07,639 Speaker 4: No? 516 00:27:07,840 --> 00:27:09,520 Speaker 2: Is it like this all the time? Or is it 517 00:27:09,640 --> 00:27:11,960 Speaker 2: or they put out a list and you go not 518 00:27:12,080 --> 00:27:12,480 Speaker 2: that great? 519 00:27:12,640 --> 00:27:14,920 Speaker 5: Yeah, I mean sometimes, you know, there's things that they 520 00:27:15,000 --> 00:27:17,760 Speaker 5: go back to, you know, the Silent era. There's like, 521 00:27:17,800 --> 00:27:19,760 Speaker 5: you know, a two minute film about the subway or 522 00:27:19,800 --> 00:27:21,840 Speaker 5: something like that that's always fun. And then there's you know, 523 00:27:21,880 --> 00:27:24,280 Speaker 5: there's things like whatever Fame is in there, or Greece 524 00:27:24,600 --> 00:27:26,280 Speaker 5: or some things that you sort of don't agree with, 525 00:27:26,440 --> 00:27:28,760 Speaker 5: but realistically there's a lot of great stuff in there. 526 00:27:28,760 --> 00:27:31,560 Speaker 5: I love that Abbott Castello Meet Frankenstein is in the 527 00:27:31,640 --> 00:27:35,040 Speaker 5: National Film Registry and Star Trek to The Wrath of Khan. 528 00:27:35,200 --> 00:27:38,800 Speaker 5: This year, they've got, you know, in addition to the 529 00:27:38,800 --> 00:27:40,679 Speaker 5: ones we mentioned, The Big Chill, which is one of 530 00:27:40,680 --> 00:27:45,000 Speaker 5: my favorite films, and uh before Sunrise, Clueless and The 531 00:27:45,040 --> 00:27:47,840 Speaker 5: Incredibles that one of the best superhero movies and one 532 00:27:47,880 --> 00:27:50,560 Speaker 5: of the best Pixar movies is The Incredibles. 533 00:27:50,640 --> 00:27:53,080 Speaker 2: You know, sometimes sometimes I look at the list and 534 00:27:53,119 --> 00:27:55,520 Speaker 2: I'm thinking to myself, how did they not? How how 535 00:27:55,640 --> 00:27:58,320 Speaker 2: is that not already in there? And there's two here 536 00:27:58,440 --> 00:28:02,360 Speaker 2: White Christmas in hiasisciety, How did those two not make 537 00:28:02,400 --> 00:28:03,119 Speaker 2: it in before? 538 00:28:04,000 --> 00:28:04,240 Speaker 6: You know? 539 00:28:04,280 --> 00:28:05,840 Speaker 5: It's an interesting thing. I mean, they've only been doing 540 00:28:05,840 --> 00:28:07,680 Speaker 5: this since eighty eight and they only let twenty five 541 00:28:07,720 --> 00:28:09,640 Speaker 5: films in every year, so now there's almost a thousand 542 00:28:09,640 --> 00:28:12,040 Speaker 5: in there. But right you think a high society especially, 543 00:28:12,040 --> 00:28:14,479 Speaker 5: it's a great it's a remake of the Philadelphia Story, 544 00:28:14,800 --> 00:28:18,719 Speaker 5: and it's it's Big Crosby and Frank Sinatra and Grace Kelly. 545 00:28:18,840 --> 00:28:21,800 Speaker 5: I mean, it's it's a fantastic little film, great musical, 546 00:28:21,880 --> 00:28:23,920 Speaker 5: great songs in there. I don't know, it's just obviously 547 00:28:23,960 --> 00:28:26,359 Speaker 5: it maybe came close in previous years. So if it didn't, 548 00:28:27,040 --> 00:28:29,800 Speaker 5: you know other years that people weren't nominating the thing 549 00:28:29,880 --> 00:28:32,119 Speaker 5: so often you think that it would have gotten in. 550 00:28:32,400 --> 00:28:35,240 Speaker 5: But it's a really great, fun list, and all these 551 00:28:35,280 --> 00:28:37,359 Speaker 5: movies on here, you think, oh, these are sort of 552 00:28:37,400 --> 00:28:40,160 Speaker 5: like some something precious. No, then that's why I love that, 553 00:28:40,240 --> 00:28:42,280 Speaker 5: like Ablet Castello meet Frankenstein is in there. 554 00:28:42,400 --> 00:28:45,640 Speaker 2: Yeah, I know why Inception is in there. But Inception 555 00:28:45,800 --> 00:28:46,480 Speaker 2: hurt my head. 556 00:28:46,760 --> 00:28:47,920 Speaker 6: It was me do. 557 00:28:49,480 --> 00:28:51,880 Speaker 2: What I'm watching over my head ten years later. Oh 558 00:28:51,920 --> 00:28:54,239 Speaker 2: my god, I'm thinking too much. I just came to 559 00:28:54,360 --> 00:28:56,840 Speaker 2: enjoy a movie and I have to try to understand 560 00:28:56,880 --> 00:28:57,800 Speaker 2: what's going on here. 561 00:28:58,760 --> 00:29:01,800 Speaker 5: I agree, I agree. I'm not a fan. I wish 562 00:29:01,800 --> 00:29:03,120 Speaker 5: it was I wish I liked it more. I wish 563 00:29:03,160 --> 00:29:04,520 Speaker 5: it was smart enough to figure it out more. I 564 00:29:04,520 --> 00:29:06,440 Speaker 5: don't know. Maybe that's it, Larry, We're not smart enough 565 00:29:06,480 --> 00:29:06,920 Speaker 5: for Inception. 566 00:29:07,320 --> 00:29:09,920 Speaker 2: Yeah, I love I love your suggestions all the time. 567 00:29:10,360 --> 00:29:13,000 Speaker 2: And the reason I'm saying that is because I might 568 00:29:13,040 --> 00:29:15,239 Speaker 2: want to see that Jason Stays a movie, but if 569 00:29:15,280 --> 00:29:18,280 Speaker 2: it's not streaming, I'll probably wait for it to stream. 570 00:29:18,600 --> 00:29:21,480 Speaker 2: What is streaming right now that people should see. 571 00:29:21,600 --> 00:29:23,160 Speaker 5: One of the things I'd always think about the Oscar 572 00:29:23,200 --> 00:29:26,000 Speaker 5: films is that people sort of people forget certain films 573 00:29:25,800 --> 00:29:28,720 Speaker 5: that people that may have been fun that weren't nominated. 574 00:29:28,760 --> 00:29:30,680 Speaker 5: And this year I think roof Man was a film 575 00:29:30,720 --> 00:29:32,520 Speaker 5: that I thought was really interesting and really fun and 576 00:29:32,560 --> 00:29:35,040 Speaker 5: starts channeling hate him as in a real life case 577 00:29:35,040 --> 00:29:38,760 Speaker 5: of a guy who was accused of robberies and and 578 00:29:38,800 --> 00:29:41,160 Speaker 5: he hid out in a Toys r us and Kirsten 579 00:29:41,240 --> 00:29:44,000 Speaker 5: Dunst is in there in Peter Dinkline. It's a really interesting, 580 00:29:44,080 --> 00:29:46,760 Speaker 5: quirky film because it's it's based on a real life story, 581 00:29:46,800 --> 00:29:48,800 Speaker 5: crazy story which I always think is fun, but didn't 582 00:29:48,800 --> 00:29:50,000 Speaker 5: get any Oscar nominations. 583 00:29:50,080 --> 00:29:55,080 Speaker 2: Joe Numeier a film journalist and wo R Movie Minute host. Well, 584 00:29:55,080 --> 00:29:57,880 Speaker 2: that wraps up Saturday Morning for this week. Thanks for listening, 585 00:29:57,920 --> 00:30:01,080 Speaker 2: and thanks to Natalie Vaka and Peter Irelano for putting 586 00:30:01,120 --> 00:30:04,240 Speaker 2: the show together every week. Have a great rest of 587 00:30:04,280 --> 00:30:04,880 Speaker 2: your weekend. 588 00:30:05,320 --> 00:30:08,000 Speaker 1: This has been a podcast from WOR