1 00:00:00,120 --> 00:00:05,720 Speaker 1: This is a podcast from WOR now the wr Saturday 2 00:00:05,800 --> 00:00:06,440 Speaker 1: Morning Show. 3 00:00:06,840 --> 00:00:10,680 Speaker 2: Here's Larry Minty coming up this week on Saturday Morning. 4 00:00:10,800 --> 00:00:14,360 Speaker 2: NASA County executive Bruce Blakeman is running for governor. So 5 00:00:14,640 --> 00:00:18,599 Speaker 2: where's he been? We asked WOR host and former candidate 6 00:00:18,640 --> 00:00:23,360 Speaker 2: for governor, Rob Astorno. Space Force, a vital branch of 7 00:00:23,360 --> 00:00:27,680 Speaker 2: the military, has gotten a bad rap. Futurist Kevin Siilli 8 00:00:27,800 --> 00:00:31,080 Speaker 2: says they may be the most important branch in the 9 00:00:31,200 --> 00:00:35,120 Speaker 2: very near future. Sixteen thousand nurses are on strike in 10 00:00:35,200 --> 00:00:37,839 Speaker 2: New York. But is that ethical for a nurse to 11 00:00:37,880 --> 00:00:43,040 Speaker 2: go on strike. We'll ask bioethicist doctor Arthur Kaplan about that, 12 00:00:43,960 --> 00:00:47,520 Speaker 2: and are you thinking of retiring? Career advice expert Greg 13 00:00:47,560 --> 00:00:50,520 Speaker 2: g and Grande has some tips for you on how 14 00:00:50,640 --> 00:00:54,960 Speaker 2: to tell your boss. But let's start with WOR and 15 00:00:55,040 --> 00:01:01,080 Speaker 2: Newsmax's host Rob Astorno. So, Rob, this relation between Donald 16 00:01:01,120 --> 00:01:04,440 Speaker 2: Trump and Zoran mom Donnie. At first, I thought Zoran 17 00:01:04,480 --> 00:01:07,679 Speaker 2: mom Donnie was just being a nuisance and using a 18 00:01:07,680 --> 00:01:11,160 Speaker 2: phone number he was given. Now it seems like they're 19 00:01:11,280 --> 00:01:15,080 Speaker 2: texting back and forth to each other and calling each 20 00:01:15,080 --> 00:01:17,360 Speaker 2: other and talking to each other on the phone. Is 21 00:01:17,400 --> 00:01:20,160 Speaker 2: this a budding odd couple. Is this some kind of 22 00:01:20,200 --> 00:01:21,119 Speaker 2: weird bromance. 23 00:01:22,200 --> 00:01:24,520 Speaker 3: I want to make New York amfortable for everyone. Oh 24 00:01:24,560 --> 00:01:26,560 Speaker 3: wait wait, I was asked a different question. That's all 25 00:01:26,600 --> 00:01:30,080 Speaker 3: he says. That's all he says, but he actually answered 26 00:01:30,080 --> 00:01:31,959 Speaker 3: a different question. He says, yeah, we text a handful 27 00:01:31,959 --> 00:01:36,920 Speaker 3: of times. Next question, he it's it's really strange, but 28 00:01:37,240 --> 00:01:40,440 Speaker 3: this is Donald Trump. Honestly, anyone who knows Donald Trump. 29 00:01:40,560 --> 00:01:44,399 Speaker 4: Knows that he will basically take a call from anyone 30 00:01:44,720 --> 00:01:50,520 Speaker 4: and will will give people time that that sometimes don't 31 00:01:50,520 --> 00:01:51,559 Speaker 4: deserve it, but he will. 32 00:01:51,600 --> 00:01:55,160 Speaker 3: He's just he is opening. He opens the doors to 33 00:01:55,200 --> 00:01:57,560 Speaker 3: listen to all different points of view, which is what 34 00:01:57,640 --> 00:01:59,360 Speaker 3: people don't realize about him. 35 00:01:59,840 --> 00:02:03,480 Speaker 4: And he sometimes will make a decision that, you know, 36 00:02:03,600 --> 00:02:06,480 Speaker 4: kind of surprises people because he talked to different people. 37 00:02:07,200 --> 00:02:10,560 Speaker 3: So I mean, it's not surprising to me that they 38 00:02:10,560 --> 00:02:12,400 Speaker 3: have some sort of casual relationship. 39 00:02:12,440 --> 00:02:14,679 Speaker 4: I mean, look, whether you like it or not, Ma'm 40 00:02:14,760 --> 00:02:17,440 Speaker 4: Dommi is the mayor of New York City. Obviously, Donald 41 00:02:17,440 --> 00:02:20,440 Speaker 4: Trump has a very big soft spot for New York City. 42 00:02:20,480 --> 00:02:22,160 Speaker 4: This is where he grew up, this is where he 43 00:02:22,680 --> 00:02:24,400 Speaker 4: lived up until very recently. 44 00:02:25,200 --> 00:02:27,680 Speaker 3: So I'm not surprised. 45 00:02:27,919 --> 00:02:29,880 Speaker 4: I don't know how far it's going to get, Mam Domi, 46 00:02:30,040 --> 00:02:32,880 Speaker 4: because you know they're going to be at odds, and 47 00:02:32,919 --> 00:02:35,839 Speaker 4: they already are on some very major issues, including what's 48 00:02:35,840 --> 00:02:38,000 Speaker 4: going on right now with Ice and you know, ma'm 49 00:02:38,080 --> 00:02:42,600 Speaker 4: Dommi's ridiculous response, just like the mayor of Minneapolis to 50 00:02:42,680 --> 00:02:45,200 Speaker 4: what's going on over there and ICE's roll. 51 00:02:46,240 --> 00:02:49,400 Speaker 2: Yeah. It really is interesting because the last time they 52 00:02:49,400 --> 00:02:52,959 Speaker 2: got off the phone together, apparently Donald Trump then cut 53 00:02:53,000 --> 00:02:54,960 Speaker 2: off funding to New York City and New York State 54 00:02:56,040 --> 00:02:58,919 Speaker 2: threatened you for February first. So I'm not sure the 55 00:02:58,960 --> 00:03:03,320 Speaker 2: phone calls are doing doing any good whatsoever. Donald Trump, 56 00:03:04,000 --> 00:03:06,480 Speaker 2: he just seems to like talking to people. I think 57 00:03:06,840 --> 00:03:08,000 Speaker 2: it's honest to God. 58 00:03:08,200 --> 00:03:10,800 Speaker 4: So there have been there have been times, like in 59 00:03:10,840 --> 00:03:14,600 Speaker 4: the passage first term, where I've left the message for him, 60 00:03:15,240 --> 00:03:18,000 Speaker 4: and I would the phone would ring at like twelve 61 00:03:18,120 --> 00:03:18,840 Speaker 4: something at night. 62 00:03:18,960 --> 00:03:21,120 Speaker 3: I'm like, oh my god, it's the president. 63 00:03:22,680 --> 00:03:26,679 Speaker 4: It's like any time of day, believe me, any time 64 00:03:26,760 --> 00:03:29,600 Speaker 4: of day or night or very early morning you can 65 00:03:29,639 --> 00:03:33,600 Speaker 4: get that that call and uh and everyone has And 66 00:03:34,520 --> 00:03:37,880 Speaker 4: it's the strangest thing. It's the most surreal thing when 67 00:03:37,920 --> 00:03:40,080 Speaker 4: the president of the United States calls you, but he 68 00:03:40,120 --> 00:03:43,080 Speaker 4: will and you'll have that relationship. And if Ma'm Donnie 69 00:03:43,120 --> 00:03:45,400 Speaker 4: were smart, and I don't think he is, he wouldn't 70 00:03:45,400 --> 00:03:48,200 Speaker 4: overplay his hand. He would call him only when it's 71 00:03:48,360 --> 00:03:52,440 Speaker 4: really truly necessary to really help New York City. But 72 00:03:52,600 --> 00:03:54,400 Speaker 4: calling him to say, hey, I disagree with you on 73 00:03:54,440 --> 00:03:55,720 Speaker 4: Denizuel right, Hey. 74 00:03:55,960 --> 00:03:58,800 Speaker 3: You know, pull back your goons in Minneapolis. I mean 75 00:03:58,840 --> 00:03:59,920 Speaker 3: it's so stupid. 76 00:04:01,080 --> 00:04:03,600 Speaker 2: Yeah, it kind of shows you that he's a rookie. Hey, 77 00:04:03,640 --> 00:04:05,360 Speaker 2: I have my contacts out. Why don't you give me 78 00:04:05,400 --> 00:04:13,080 Speaker 2: the President's phone number real quick? And I want to 79 00:04:13,080 --> 00:04:15,840 Speaker 2: talk to you about something else this race for governor, 80 00:04:15,960 --> 00:04:18,760 Speaker 2: because you've been through this before, so you will have 81 00:04:18,800 --> 00:04:21,880 Speaker 2: a first hand account of what's going on. Bruce Blakeman 82 00:04:21,960 --> 00:04:25,400 Speaker 2: makes the announcement, you know, at least aphonic drops out 83 00:04:25,440 --> 00:04:29,560 Speaker 2: of the race, and now we have a primary going on. 84 00:04:29,640 --> 00:04:33,000 Speaker 2: It's it's kind of officially started, right and they both announced 85 00:04:33,040 --> 00:04:36,360 Speaker 2: that they're running and and nothing like. I haven't heard 86 00:04:36,400 --> 00:04:38,680 Speaker 2: really that much from Bruce Blakeman. Every once in a 87 00:04:38,720 --> 00:04:41,359 Speaker 2: while he's interviewed somewhere, but he was doing that before. 88 00:04:42,160 --> 00:04:45,880 Speaker 2: What is happening? Do they are they just out building support. 89 00:04:46,120 --> 00:04:49,120 Speaker 2: Is he traveling the state or making phone calls talking 90 00:04:49,160 --> 00:04:51,960 Speaker 2: to donors and talking to people that he wants to 91 00:04:52,040 --> 00:04:54,600 Speaker 2: endorse them. 92 00:04:53,640 --> 00:04:55,040 Speaker 3: So all the above is true. 93 00:04:55,760 --> 00:04:58,479 Speaker 4: Wednesday night, we had an event in White Plains that 94 00:04:58,560 --> 00:04:59,039 Speaker 4: I was with. 95 00:04:59,080 --> 00:05:00,960 Speaker 3: Bruce introduced him and we. 96 00:05:00,920 --> 00:05:04,280 Speaker 4: Had a full crowd, and people are curious because they 97 00:05:04,279 --> 00:05:06,479 Speaker 4: don't know much about him, and that's just gonna be 98 00:05:06,480 --> 00:05:09,839 Speaker 4: the case, especially up in New York, upstate New York. 99 00:05:10,600 --> 00:05:13,640 Speaker 4: Since he left after it was probably about eight thirty 100 00:05:13,680 --> 00:05:16,200 Speaker 4: or so on Wednesday night, he left White Plains and 101 00:05:16,240 --> 00:05:18,840 Speaker 4: he drove up to Saratoga, So he spent time up 102 00:05:18,839 --> 00:05:21,120 Speaker 4: in Saratoga and in North Country where he's got to 103 00:05:21,120 --> 00:05:22,840 Speaker 4: get to know the leaders, got to get to know 104 00:05:23,600 --> 00:05:26,640 Speaker 4: and have a press conference and meet Breath. 105 00:05:27,200 --> 00:05:28,680 Speaker 5: So he's doing that and he's. 106 00:05:28,560 --> 00:05:31,320 Speaker 4: Building the building blocks. It's early, it's still very early. 107 00:05:31,400 --> 00:05:33,080 Speaker 4: This is when you do all those things. 108 00:05:33,600 --> 00:05:34,160 Speaker 3: The media. 109 00:05:34,360 --> 00:05:37,000 Speaker 4: The media starts coming into play later on. I mean 110 00:05:37,000 --> 00:05:40,440 Speaker 4: they're disinterested generally, especially down here. The New York City 111 00:05:40,480 --> 00:05:43,719 Speaker 4: media is the worst. Okay, they're just they're just really bad. 112 00:05:44,440 --> 00:05:47,080 Speaker 4: And upstate you can get media coverage if he goes 113 00:05:47,080 --> 00:05:48,680 Speaker 4: to Buffalo or Rochester every time. 114 00:05:48,520 --> 00:05:50,159 Speaker 3: He goes up there, they're gonna they're gonna cover it, 115 00:05:50,480 --> 00:05:51,200 Speaker 3: which is good. 116 00:05:51,800 --> 00:05:54,479 Speaker 4: Down here, it's just a totally different ball game, you know, 117 00:05:54,760 --> 00:05:56,240 Speaker 4: And that's just the way it is. 118 00:05:56,279 --> 00:05:56,359 Speaker 3: So. 119 00:05:57,120 --> 00:05:58,800 Speaker 4: But he hadn't a vent in Brooklyn the other day. 120 00:05:59,000 --> 00:06:01,479 Speaker 4: Did the media really pick up fun it? Probably not right, 121 00:06:01,640 --> 00:06:04,720 Speaker 4: but he was doing a big education thing. So this 122 00:06:04,800 --> 00:06:10,120 Speaker 4: is the building block stage, the fundraising stage, and basically 123 00:06:10,160 --> 00:06:13,039 Speaker 4: the blocking and tackling stage until you get to when 124 00:06:13,040 --> 00:06:14,320 Speaker 4: everyone starts paying attention. 125 00:06:15,200 --> 00:06:17,640 Speaker 2: I agree with you about the media in New York, 126 00:06:17,640 --> 00:06:20,360 Speaker 2: and I'm so disappointed. I remember I used to work 127 00:06:20,400 --> 00:06:22,960 Speaker 2: here at WABC as a street reporter on an anchor, 128 00:06:23,000 --> 00:06:25,919 Speaker 2: and I was here at WPIX not too long ago, 129 00:06:26,000 --> 00:06:31,560 Speaker 2: and I am really shocked at how the dilution of 130 00:06:31,640 --> 00:06:34,360 Speaker 2: the media and how they don't ask the right questions. 131 00:06:34,440 --> 00:06:38,479 Speaker 2: They don't ask follow up questions. Rob, I don't understand 132 00:06:38,480 --> 00:06:41,000 Speaker 2: what's going on unless they're just not paying people anymore. 133 00:06:41,839 --> 00:06:44,239 Speaker 3: I would have loved for them to ask the wrong question. 134 00:06:44,320 --> 00:06:46,920 Speaker 3: They never asked any questions. Good it never showed up. 135 00:06:48,160 --> 00:06:50,840 Speaker 2: Oh no, you're talking about Blakeman. I mean, on a 136 00:06:50,920 --> 00:06:53,679 Speaker 2: daily basis, they might as well have showed up because 137 00:06:53,680 --> 00:06:55,880 Speaker 2: if they showed up, they wouldn't have covered it right anyway, 138 00:06:56,200 --> 00:07:00,800 Speaker 2: So it is amazing that there's no follow ups. It's 139 00:07:00,839 --> 00:07:03,760 Speaker 2: amazing that they didn't hold mom Downy's feet to the fire. 140 00:07:03,839 --> 00:07:06,080 Speaker 2: He got to talk in circles and they let him. 141 00:07:06,480 --> 00:07:09,800 Speaker 4: You played that cut before of Caroline Levitt, which was fantastic. 142 00:07:09,840 --> 00:07:12,440 Speaker 4: She ripped that guy's face off in the White House 143 00:07:12,440 --> 00:07:15,520 Speaker 4: briefing room. I don't know if you played his actual 144 00:07:15,640 --> 00:07:19,720 Speaker 4: answer because she said to him, well, what do you 145 00:07:19,800 --> 00:07:23,920 Speaker 4: think about the ice situation in Minneapolis? And he said, 146 00:07:23,920 --> 00:07:26,840 Speaker 4: you're asking me my opinion? And she said, yeah, what 147 00:07:26,920 --> 00:07:29,200 Speaker 4: do you think about the story? Because of the way 148 00:07:29,240 --> 00:07:31,840 Speaker 4: he phrased his question to her, and he just went 149 00:07:31,880 --> 00:07:35,200 Speaker 4: off on basically anti ice crusade. 150 00:07:34,960 --> 00:07:38,760 Speaker 2: Called he called the officer reckless. Yes, he was reckless. 151 00:07:38,760 --> 00:07:41,600 Speaker 2: This is the word he used. Yeah, no, I agree 152 00:07:41,600 --> 00:07:43,200 Speaker 2: with you. I should have played the whole thing and 153 00:07:43,240 --> 00:07:46,840 Speaker 2: I will. Thanks for that note. Rob rob Astorino, former 154 00:07:46,920 --> 00:07:50,760 Speaker 2: Westchester County executive and host of The Rob Astorino Show 155 00:07:50,880 --> 00:07:54,760 Speaker 2: on WOR Saturday's four to five pm and host of 156 00:07:54,840 --> 00:07:59,200 Speaker 2: Saturday Agenda on Newsmax from one to three pm. A 157 00:07:59,280 --> 00:08:04,840 Speaker 2: doctor testing before Congress for transgender rights when viral for 158 00:08:05,000 --> 00:08:09,360 Speaker 2: refusing to answer if a man can get pregnant? So 159 00:08:09,600 --> 00:08:14,040 Speaker 2: we'll ask doctor Arthur Caplan from NYU's Landgone Medical Center 160 00:08:14,400 --> 00:08:16,080 Speaker 2: that very same question. 161 00:08:16,560 --> 00:08:21,120 Speaker 1: Next back now to the WOR Saturday Morning Show with 162 00:08:21,280 --> 00:08:23,080 Speaker 1: Larry Minti, welcome back. 163 00:08:23,200 --> 00:08:26,040 Speaker 2: Nurses have been on strike at five New York City 164 00:08:26,080 --> 00:08:30,080 Speaker 2: hospitals for almost a week. Is it ethical for nurses 165 00:08:30,120 --> 00:08:33,880 Speaker 2: to strike? Well, we happen to have a bioethicist to 166 00:08:33,960 --> 00:08:37,679 Speaker 2: ask that very question. Doctor Arthur Kaplan is a professor 167 00:08:37,760 --> 00:08:42,560 Speaker 2: of bioethics at NYU's land Gone Medical Center. Doctor, I 168 00:08:42,559 --> 00:08:45,240 Speaker 2: think you know what I'm gonna ask. You can men 169 00:08:45,320 --> 00:08:45,960 Speaker 2: get pregnant? 170 00:08:46,120 --> 00:08:48,719 Speaker 6: Well, there are many biological No. 171 00:08:52,960 --> 00:08:55,280 Speaker 2: I really thought that was about to happen. You had 172 00:08:55,320 --> 00:08:57,040 Speaker 2: me pulled there for half a second. 173 00:09:00,000 --> 00:09:02,959 Speaker 6: I mean, there are certainly people who you know, undergo 174 00:09:03,160 --> 00:09:09,640 Speaker 6: procedures and bring on their capability to get pregnant, I 175 00:09:09,640 --> 00:09:15,040 Speaker 6: guess in different appearances or something. But no, men cannot 176 00:09:15,080 --> 00:09:16,840 Speaker 6: get pregnant. Women get pregnant. 177 00:09:17,320 --> 00:09:20,640 Speaker 2: It must we do. I would think as a medical 178 00:09:20,679 --> 00:09:26,960 Speaker 2: professional this would upset you that politics get such so 179 00:09:27,080 --> 00:09:32,360 Speaker 2: involved in medicine these days, in both sides political political 180 00:09:32,520 --> 00:09:39,000 Speaker 2: influence has been involved in medical treatments, it's been involved 181 00:09:39,040 --> 00:09:42,480 Speaker 2: in medical dialogue and certainly in some of the things 182 00:09:42,520 --> 00:09:47,120 Speaker 2: coming out of Washington. Politics and medicine should be on 183 00:09:47,400 --> 00:09:49,240 Speaker 2: islands away from each other. 184 00:09:49,559 --> 00:09:51,640 Speaker 6: Well, I agree with that. You know, I'll give you 185 00:09:52,200 --> 00:09:55,960 Speaker 6: a different one that drives me nuts. People keep saying, 186 00:09:56,000 --> 00:09:57,680 Speaker 6: prompasay that there are only two genders. 187 00:09:57,720 --> 00:09:58,120 Speaker 5: That's it. 188 00:09:58,600 --> 00:10:00,800 Speaker 6: Now we know that isn't true, hoop, because there are 189 00:10:00,800 --> 00:10:04,000 Speaker 6: people born with mixed genes and chromosomes. And the group 190 00:10:04,040 --> 00:10:06,880 Speaker 6: that's had a hard time with it is the Olympics. Right, 191 00:10:06,920 --> 00:10:10,640 Speaker 6: They're constantly trying to put some people into the male 192 00:10:10,840 --> 00:10:12,840 Speaker 6: or the female category, and they don't know whether they 193 00:10:12,840 --> 00:10:17,280 Speaker 6: should look at their physical trades, their gems, their hormones 194 00:10:17,400 --> 00:10:20,160 Speaker 6: and so on. So there is a tiny number of 195 00:10:20,200 --> 00:10:22,080 Speaker 6: people that follow in the sort of I don't know 196 00:10:22,080 --> 00:10:26,319 Speaker 6: what to call it, gray zone. That's biological reality. That's 197 00:10:26,400 --> 00:10:29,680 Speaker 6: just how it is. So you know, whether you want 198 00:10:29,960 --> 00:10:33,200 Speaker 6: people competing in sports, they have to meet certain moves. 199 00:10:34,080 --> 00:10:36,040 Speaker 6: You can set the holes, but you don't want to 200 00:10:36,080 --> 00:10:39,520 Speaker 6: distort the biological reality in the other direction and say, well, 201 00:10:39,520 --> 00:10:41,760 Speaker 6: everybody clearly is one or the other. There were all 202 00:10:41,760 --> 00:10:46,160 Speaker 6: these racers and people who were X x Y and 203 00:10:46,240 --> 00:10:49,559 Speaker 6: so forth. They're trying to compete as women or men 204 00:10:49,640 --> 00:10:52,240 Speaker 6: or whatever they want to do. There are some fuzzy 205 00:10:52,800 --> 00:10:55,000 Speaker 6: gray zone people, I guess is the way I put it. 206 00:10:55,040 --> 00:10:56,319 Speaker 6: That's just the way it is. 207 00:10:56,640 --> 00:10:59,440 Speaker 2: Yeah, I'm thinking about the last Olympics. Remember there was 208 00:10:59,440 --> 00:11:02,880 Speaker 2: a female male boxer who won and was just destroying everybody, 209 00:11:02,880 --> 00:11:06,320 Speaker 2: and it turned out she had high male hormones, but 210 00:11:06,880 --> 00:11:10,840 Speaker 2: she had female genitally, she was born with female genital Yeah, 211 00:11:11,360 --> 00:11:12,240 Speaker 2: so that's exactly what. 212 00:11:12,200 --> 00:11:15,120 Speaker 6: You're talking about. Know, that's that's exactly what I'm talking about. 213 00:11:15,120 --> 00:11:17,400 Speaker 6: And you can decide let her in, don't let her in, 214 00:11:17,559 --> 00:11:20,120 Speaker 6: or it's unfair or she's too big or whatever. But 215 00:11:21,040 --> 00:11:25,360 Speaker 6: you know, the reality is there are a tiny percentage 216 00:11:25,360 --> 00:11:27,920 Speaker 6: of people super tighty you who follow in this weird 217 00:11:28,240 --> 00:11:30,800 Speaker 6: gray zone. They have more horm tesosterone than you think 218 00:11:30,840 --> 00:11:33,000 Speaker 6: they should for a female, for example, or they just 219 00:11:33,040 --> 00:11:35,600 Speaker 6: have mixed chromosomes. It's you know, some people are born 220 00:11:36,520 --> 00:11:38,680 Speaker 6: x Y. Most of us are x x x Y, 221 00:11:38,840 --> 00:11:40,920 Speaker 6: but a few of us are like x x y 222 00:11:41,160 --> 00:11:43,839 Speaker 6: Y weird things, and you got to decide how you 223 00:11:43,880 --> 00:11:45,080 Speaker 6: want to classify them. 224 00:11:45,280 --> 00:11:47,440 Speaker 2: Here's another thing. We're talking about the news, and there's 225 00:11:47,440 --> 00:11:49,360 Speaker 2: a couple of things in the news that are that 226 00:11:49,400 --> 00:11:52,440 Speaker 2: are interesting when it comes to medical ethics. Is it 227 00:11:52,520 --> 00:11:54,440 Speaker 2: ethical for nurses to strike? 228 00:11:54,840 --> 00:11:57,480 Speaker 6: Boy, is that an interesting issue. So we're entering day 229 00:11:57,480 --> 00:12:01,199 Speaker 6: four New York City big strike, right yep. On the 230 00:12:01,240 --> 00:12:05,760 Speaker 6: side of those who say yes, nurses strike and their supporters, 231 00:12:05,960 --> 00:12:08,600 Speaker 6: they say, look for the greater good, you've got to 232 00:12:08,640 --> 00:12:13,120 Speaker 6: protect staffing. These hospitals, the ones that are striking or cutting 233 00:12:13,160 --> 00:12:15,600 Speaker 6: back on the number of nurses they have on the 234 00:12:15,640 --> 00:12:20,080 Speaker 6: floors at different times, they're putting patients at risk. It's 235 00:12:20,160 --> 00:12:23,280 Speaker 6: too violent. They've got to make the place a safer 236 00:12:23,280 --> 00:12:28,240 Speaker 6: for us to work. So that's the justification. Has protect 237 00:12:28,360 --> 00:12:31,720 Speaker 6: us and do something to protect patients in the long run. 238 00:12:32,280 --> 00:12:35,360 Speaker 6: In the short run, it's not good to not have 239 00:12:35,480 --> 00:12:37,480 Speaker 6: nurses around. You know what they're trying to do, Larry, 240 00:12:37,520 --> 00:12:40,920 Speaker 6: they're trying to use substitutes, you know, stripe breakers, what 241 00:12:40,960 --> 00:12:44,320 Speaker 6: they call travel nurses. But that doesn't really work. You 242 00:12:44,360 --> 00:12:48,480 Speaker 6: can't just bring somebody into a hospital setting different specialty 243 00:12:48,559 --> 00:12:50,120 Speaker 6: areas and say, you know, well, you'll. 244 00:12:49,960 --> 00:12:50,800 Speaker 7: Be the nurse there. 245 00:12:50,960 --> 00:12:53,800 Speaker 6: Doesn't You need to know what's going on in the 246 00:12:53,840 --> 00:12:56,240 Speaker 6: particular part of the hospital where the nurses are not 247 00:12:56,679 --> 00:12:58,840 Speaker 6: I've always favored this. I don't know what you think, 248 00:12:58,880 --> 00:13:01,280 Speaker 6: but I think they ought to be under like the 249 00:13:01,320 --> 00:13:07,320 Speaker 6: police and fire, compulsory arbitration, mandatory mediation and arbitration. The 250 00:13:07,360 --> 00:13:11,360 Speaker 6: cops can't strike, fire can't strike, the military doesn't strike. 251 00:13:12,400 --> 00:13:15,200 Speaker 6: You have them have to go to a mediation. Why 252 00:13:15,240 --> 00:13:16,880 Speaker 6: don't we do this for doctors and nurses? 253 00:13:17,480 --> 00:13:20,920 Speaker 2: So you're not going to say it's ethical or ethical. 254 00:13:20,960 --> 00:13:23,640 Speaker 2: You just think it means it takes common sense to 255 00:13:23,720 --> 00:13:25,920 Speaker 2: know that they shouldn't be on strike. And there is 256 00:13:25,960 --> 00:13:28,679 Speaker 2: a way around this because we've done it with other professions. 257 00:13:29,200 --> 00:13:33,440 Speaker 6: Yeah, yeah, other essential professions. I don't putting people at risk, 258 00:13:33,800 --> 00:13:36,000 Speaker 6: and you are if you're on strike. Is a doctor, 259 00:13:36,040 --> 00:13:39,480 Speaker 6: a nurse, or a PTU or whatever in a hospital setting, Boy, 260 00:13:39,520 --> 00:13:41,520 Speaker 6: that's hard to defend. On the other hand, I get 261 00:13:41,520 --> 00:13:44,520 Speaker 6: that the nurses may feel helpless. And what more, nurses 262 00:13:44,720 --> 00:13:48,560 Speaker 6: they say these hospitals are paying, you know, not enough 263 00:13:48,600 --> 00:13:51,080 Speaker 6: money to really staff them properly, and we've got to 264 00:13:51,120 --> 00:13:54,240 Speaker 6: do something about it. Boy, that sounds like arbitration to me. 265 00:13:54,760 --> 00:13:57,439 Speaker 2: You know, I want to go back to the doctor 266 00:13:57,480 --> 00:14:00,880 Speaker 2: who wouldn't answer the question about men geting pregnant, not 267 00:14:00,920 --> 00:14:02,640 Speaker 2: because I want to deal with that, but I do 268 00:14:02,720 --> 00:14:06,200 Speaker 2: want to deal with politics being infused into medicine these days, 269 00:14:06,240 --> 00:14:08,320 Speaker 2: to the point where where a lot of people don't 270 00:14:08,360 --> 00:14:11,040 Speaker 2: know who to believe or who to follow. It's become 271 00:14:11,080 --> 00:14:12,640 Speaker 2: a problem, hasn't it. 272 00:14:12,640 --> 00:14:15,880 Speaker 6: It really is. So you get all kinds of influencers 273 00:14:16,880 --> 00:14:20,080 Speaker 6: no training out there pushing I'll tell you what today's 274 00:14:20,320 --> 00:14:23,360 Speaker 6: big deal is. You may have seen this whole milk. 275 00:14:24,440 --> 00:14:28,720 Speaker 6: Oh last twenty four hours, Kennedy, Trump, all kinds of people, 276 00:14:28,840 --> 00:14:32,840 Speaker 6: Ben Carson been having big meetings about. They're very excited 277 00:14:32,880 --> 00:14:37,520 Speaker 6: that whole milk is coming back into the American diet. 278 00:14:37,880 --> 00:14:40,720 Speaker 6: The war on fat, as they say, is over, and 279 00:14:40,800 --> 00:14:42,760 Speaker 6: we're all going to be drinking whole milk. I mean, 280 00:14:43,560 --> 00:14:48,840 Speaker 6: I don't know. Two percent milk is nice as fascination 281 00:14:49,120 --> 00:14:54,720 Speaker 6: is whole milk. But it's like this magic elixure or something, 282 00:14:54,800 --> 00:14:56,720 Speaker 6: and you're sort of like, well, should I put my 283 00:14:56,800 --> 00:14:59,160 Speaker 6: kids out of whole milk that much? 284 00:14:59,200 --> 00:14:59,440 Speaker 4: Bad? 285 00:15:01,000 --> 00:15:05,040 Speaker 6: So, yeah, if I were a. 286 00:15:05,040 --> 00:15:06,640 Speaker 2: Guest doctor, I think this has something to do with 287 00:15:06,640 --> 00:15:13,080 Speaker 2: the dairy farmers. That's probably what it is. Thanks a lot. 288 00:15:13,160 --> 00:15:16,760 Speaker 2: Doctor Arthur Kaplan, professor of Bioethics at New York University, 289 00:15:16,840 --> 00:15:19,880 Speaker 2: Landgo and Medical Center, with us every Thursday at nine 290 00:15:19,920 --> 00:15:22,880 Speaker 2: oh five. Thanks a lot, doctor, good talking to you. 291 00:15:22,880 --> 00:15:25,520 Speaker 2: You want a good look at the future of medicine 292 00:15:25,560 --> 00:15:30,160 Speaker 2: and science, well just look to the stars. Futurist podcast 293 00:15:30,200 --> 00:15:34,960 Speaker 2: host Kevin Sirilli will explain thinking about telling your boss 294 00:15:34,960 --> 00:15:37,880 Speaker 2: that you are retiring, There's a right way and a 295 00:15:38,040 --> 00:15:41,400 Speaker 2: wrong way to do it. According to career advice expert 296 00:15:41,840 --> 00:15:45,640 Speaker 2: Greig gan Grande, who is coming up on Saturday Morning. 297 00:15:46,000 --> 00:15:50,600 Speaker 1: Here's Larry Minting with more of the r Saturday Morning Show. 298 00:15:51,120 --> 00:15:54,200 Speaker 2: Space Force was enacted as a sixth branch of the 299 00:15:54,240 --> 00:15:58,920 Speaker 2: military under Donald Trump, and it was immediately ridiculed. But 300 00:15:59,160 --> 00:16:03,400 Speaker 2: now space may be the most important branch, according to 301 00:16:03,480 --> 00:16:08,360 Speaker 2: futurist and podcast host Kevin Surreally. Kevin, I'll tell you 302 00:16:08,400 --> 00:16:10,600 Speaker 2: what I knew you when you were a young lad 303 00:16:10,640 --> 00:16:12,600 Speaker 2: at Penn State, and look at you now. You've got 304 00:16:12,640 --> 00:16:15,520 Speaker 2: a successful podcast and you're talking about things I don't 305 00:16:15,600 --> 00:16:19,720 Speaker 2: understand at all. For some reason, you've just elevated intellectually 306 00:16:19,840 --> 00:16:24,280 Speaker 2: way behind beyond me. So congratulations, Not true. How is 307 00:16:24,320 --> 00:16:25,560 Speaker 2: the podcast doing. 308 00:16:25,760 --> 00:16:28,120 Speaker 6: It's going great. You know, we just had this month. 309 00:16:28,160 --> 00:16:31,440 Speaker 6: We're really focusing on the United States Space Force. I 310 00:16:31,480 --> 00:16:35,800 Speaker 6: was in Orlando before the holiday and I was interviewing, 311 00:16:35,960 --> 00:16:38,720 Speaker 6: you know, some of my friends from Space Force, and 312 00:16:39,240 --> 00:16:41,080 Speaker 6: you know, what they're doing and the stuff that they're 313 00:16:41,120 --> 00:16:44,640 Speaker 6: working on in just six years. I think it really 314 00:16:44,680 --> 00:16:48,640 Speaker 6: just underscores the importance of space security being national security is. 315 00:16:49,120 --> 00:16:54,640 Speaker 6: And I don't think necessarily people right now connect just 316 00:16:54,720 --> 00:16:58,800 Speaker 6: how much they rely on the technology systems that are 317 00:16:58,840 --> 00:17:02,520 Speaker 6: in outer space and everyday lives. And we really all 318 00:17:02,560 --> 00:17:06,160 Speaker 6: owe a debt of gratitude to the brave women who 319 00:17:06,200 --> 00:17:09,000 Speaker 6: are serving in the Space Force. They're called guardians. So 320 00:17:09,040 --> 00:17:12,840 Speaker 6: the Army has soldiers, the Navy has sailors, and the 321 00:17:12,880 --> 00:17:16,960 Speaker 6: Space Force has guardians. But these brave young guardians who 322 00:17:17,000 --> 00:17:20,680 Speaker 6: are protecting these systems for all of our everyday use. 323 00:17:21,359 --> 00:17:24,040 Speaker 2: I love that you said that. I just I've done 324 00:17:24,160 --> 00:17:27,359 Speaker 2: so many commentaries over the year on Space Force and 325 00:17:27,400 --> 00:17:29,439 Speaker 2: the fact that it was ridiculed from the beginning just 326 00:17:29,480 --> 00:17:32,879 Speaker 2: because Donald Trump did it, and how important it was. 327 00:17:33,040 --> 00:17:36,320 Speaker 2: Remember this was Eisenhower that talked about doing this. Reagan 328 00:17:36,359 --> 00:17:40,040 Speaker 2: talked about this with Star Wars. Everybody knew that the 329 00:17:40,080 --> 00:17:43,359 Speaker 2: war eventually would be fought in space, and that it 330 00:17:43,400 --> 00:17:46,840 Speaker 2: was important to own space and to protect space, and 331 00:17:46,880 --> 00:17:50,120 Speaker 2: to protect our spacecrafts and to protect our satellites. So 332 00:17:50,200 --> 00:17:54,119 Speaker 2: God bless them for the work they do, and the 333 00:17:54,560 --> 00:18:00,440 Speaker 2: ridicule was vicious, and the ridicule was unwarranted. Thank you 334 00:18:00,960 --> 00:18:04,000 Speaker 2: for talking about them as being American heroes. 335 00:18:04,600 --> 00:18:06,800 Speaker 6: Well, I want to thank you for that. I mean, 336 00:18:06,800 --> 00:18:10,760 Speaker 6: it's the truth. And quite frankly, I will say that 337 00:18:10,880 --> 00:18:13,879 Speaker 6: I believe that the creation of the United States Space 338 00:18:13,880 --> 00:18:17,520 Speaker 6: Force will go down in history as one of the 339 00:18:17,600 --> 00:18:24,760 Speaker 6: Trump administration's biggest pieces of legacy and success, truthfully, and 340 00:18:24,800 --> 00:18:29,239 Speaker 6: it has bipartisan support in Washington, DC. But you know, 341 00:18:29,320 --> 00:18:32,960 Speaker 6: I think I get asked a lot in promoting this 342 00:18:33,080 --> 00:18:36,480 Speaker 6: podcast and with the creation of MTF dot CV and 343 00:18:36,560 --> 00:18:38,919 Speaker 6: Meet the Future about where the jobs are for the 344 00:18:38,960 --> 00:18:42,840 Speaker 6: future if you're a young person the space forces. And 345 00:18:42,880 --> 00:18:44,560 Speaker 6: I'm not in the Space Force. You know, I did 346 00:18:44,560 --> 00:18:47,679 Speaker 6: not serve in the military, but the Space Force is 347 00:18:47,840 --> 00:18:51,919 Speaker 6: definitely a career path that if I were a teenager 348 00:18:52,080 --> 00:18:54,280 Speaker 6: or in my early twenties that I would definitely be 349 00:18:54,359 --> 00:18:57,719 Speaker 6: thinking of. I mean, the science and the technology that 350 00:18:58,040 --> 00:19:02,080 Speaker 6: requires to be a guardian. Is is truly unprecedented. These 351 00:19:02,080 --> 00:19:06,439 Speaker 6: are some of the best, most smartest, brightest young people 352 00:19:06,520 --> 00:19:09,919 Speaker 6: and the responsibilities that they have just to protect the 353 00:19:10,000 --> 00:19:13,320 Speaker 6: GPS system that we all use every day on our 354 00:19:13,440 --> 00:19:16,760 Speaker 6: ride share or you know, and obviously GPS runs everything 355 00:19:16,800 --> 00:19:20,600 Speaker 6: and from planes and trains and automobiles. So it really 356 00:19:20,720 --> 00:19:24,480 Speaker 6: is the future. And that's why it's one of the 357 00:19:24,520 --> 00:19:27,000 Speaker 6: many reasons I'm so passionate about space exploration. 358 00:19:27,280 --> 00:19:29,480 Speaker 2: I'll tell you what you just said a moment ago. 359 00:19:29,480 --> 00:19:33,240 Speaker 2: It has bi partisan support. Now it has bipartisan support. 360 00:19:33,480 --> 00:19:35,639 Speaker 2: Back when it was first talked about, it did not have. 361 00:19:35,720 --> 00:19:38,719 Speaker 2: It was ridiculed when he first talked about it. Remember 362 00:19:38,800 --> 00:19:43,800 Speaker 2: Netflix did a whole series, yeah, and making fun of 363 00:19:44,520 --> 00:19:47,840 Speaker 2: Space Force. So and they didn't deserve that. And you 364 00:19:47,840 --> 00:19:49,640 Speaker 2: know what, if you go back even to the Iraq 365 00:19:49,760 --> 00:19:53,280 Speaker 2: War when those smart bombs were falling, who do you think, 366 00:19:53,320 --> 00:19:55,680 Speaker 2: what do you think the guidance came from The guidance 367 00:19:55,720 --> 00:19:58,840 Speaker 2: came from satellites, They came from space. So this is 368 00:19:59,000 --> 00:20:01,720 Speaker 2: really important our future. I'm sorry I'm getting off on 369 00:20:01,800 --> 00:20:06,120 Speaker 2: a tangent here, but you are you talking about something 370 00:20:06,119 --> 00:20:07,040 Speaker 2: I'm passionate about. 371 00:20:07,320 --> 00:20:09,800 Speaker 6: No, I love it. I mean, so am I and 372 00:20:09,880 --> 00:20:12,399 Speaker 6: I think like even and you know, and one of 373 00:20:12,440 --> 00:20:14,639 Speaker 6: the things that I love the most about space that 374 00:20:14,720 --> 00:20:18,679 Speaker 6: I think the public is really the mainstream media Larry 375 00:20:18,760 --> 00:20:20,399 Speaker 6: just has not done a good job of covering this. 376 00:20:20,560 --> 00:20:23,959 Speaker 6: It's it's the potential for medical research in outer space 377 00:20:24,320 --> 00:20:28,920 Speaker 6: and that has direct results for Americans here on planet Earth. 378 00:20:28,960 --> 00:20:32,600 Speaker 6: And so if you play that out already stem cell research, 379 00:20:32,760 --> 00:20:35,679 Speaker 6: organ research to to you know, have organs in space 380 00:20:35,720 --> 00:20:40,840 Speaker 6: for the for the shortage of organs here, diseases like HIV, AIDS, dementia, 381 00:20:40,960 --> 00:20:45,879 Speaker 6: Parkinston's cancer, all of these types of illnesses. Because of 382 00:20:45,920 --> 00:20:47,960 Speaker 6: AI and because of being able to get to space 383 00:20:48,000 --> 00:20:50,639 Speaker 6: a lot faster, they are already looking at medicines and 384 00:20:50,680 --> 00:20:53,879 Speaker 6: studying that in outer space. So if you play that 385 00:20:54,080 --> 00:20:57,440 Speaker 6: through put very simply, the same way you mix ingredients 386 00:20:57,440 --> 00:20:58,920 Speaker 6: in your mixer and you put it in the oven 387 00:20:58,960 --> 00:21:01,840 Speaker 6: to bake a cake. You mix the medicine ingredients, it 388 00:21:01,960 --> 00:21:05,840 Speaker 6: bakes differently in outer space, which is why sub zero 389 00:21:05,920 --> 00:21:08,800 Speaker 6: gravity is more is important to do all of that. 390 00:21:09,080 --> 00:21:11,400 Speaker 6: But if you play that out and put simply it's 391 00:21:11,440 --> 00:21:14,640 Speaker 6: like having a pharmacy in space in the future, look 392 00:21:14,680 --> 00:21:17,960 Speaker 6: at COVID, Larry, what happened with the CCP, the Communist 393 00:21:18,240 --> 00:21:20,520 Speaker 6: Party of China? What happened with them when we were 394 00:21:20,560 --> 00:21:23,840 Speaker 6: still reliant on our medicine supply chains during COVID It 395 00:21:23,880 --> 00:21:26,359 Speaker 6: was a disaster. We were over relyingt on them. So 396 00:21:26,560 --> 00:21:30,879 Speaker 6: if China or Iran or Russia is able to own 397 00:21:31,080 --> 00:21:35,160 Speaker 6: the supply chains in cesclun or orbit, that is not good. 398 00:21:35,520 --> 00:21:38,639 Speaker 6: And so you know, we talk a lot about going 399 00:21:38,640 --> 00:21:42,520 Speaker 6: to the Moon unleashed all of this technology here for 400 00:21:42,600 --> 00:21:45,800 Speaker 6: our country. The same thing is happening with AI and 401 00:21:45,840 --> 00:21:49,040 Speaker 6: the Artimus project and eventually going to Mars. That's going 402 00:21:49,080 --> 00:21:52,680 Speaker 6: to unleash a whole new level of science, and the 403 00:21:52,720 --> 00:21:54,520 Speaker 6: Space Force is protecting all of that. 404 00:21:55,040 --> 00:21:56,720 Speaker 2: Yeah. I could talk about this all day, but let's 405 00:21:56,760 --> 00:22:00,800 Speaker 2: talk about another topic real quick. AI and all of 406 00:22:00,840 --> 00:22:04,280 Speaker 2: the money that's being generated for this country through AI. 407 00:22:04,680 --> 00:22:07,240 Speaker 2: There's from what I understand, and you know this better 408 00:22:07,240 --> 00:22:09,520 Speaker 2: than I do, there's two major hubs right one I 409 00:22:09,560 --> 00:22:11,840 Speaker 2: think it's Arizona and one in Pittsburgh right now. 410 00:22:12,000 --> 00:22:14,760 Speaker 6: Well, there's yeah, there's a for for yes, that's true. 411 00:22:14,760 --> 00:22:17,119 Speaker 6: And I think you know, other cities like Austin and 412 00:22:17,520 --> 00:22:19,960 Speaker 6: would would would fight with me and say, you know 413 00:22:20,000 --> 00:22:22,760 Speaker 6: what about all of this. But but the AI I 414 00:22:22,760 --> 00:22:24,800 Speaker 6: think right now at the start of the year and 415 00:22:24,800 --> 00:22:27,359 Speaker 6: in Upstate New York today is you know, micron Is 416 00:22:27,359 --> 00:22:32,040 Speaker 6: is you know an underway with a huge semiconductor chip 417 00:22:32,280 --> 00:22:35,640 Speaker 6: project that they're that they're underway with. But I think 418 00:22:35,760 --> 00:22:39,040 Speaker 6: chip production for AI and the data centers and the 419 00:22:39,080 --> 00:22:42,639 Speaker 6: power that that's going to require. The Trump administration today 420 00:22:43,119 --> 00:22:47,280 Speaker 6: announcing that they are trying to really get the power 421 00:22:47,320 --> 00:22:50,440 Speaker 6: companies and the data center companies talking to each other 422 00:22:50,480 --> 00:22:53,639 Speaker 6: because it's going to require an update and modernization of 423 00:22:53,680 --> 00:22:56,440 Speaker 6: our grid and our electricity in order to harness data 424 00:22:56,480 --> 00:23:00,600 Speaker 6: centers for artificial intelligence. This is all about trans forming 425 00:23:00,880 --> 00:23:04,639 Speaker 6: and modernizing the United States infrastructure for the future. To 426 00:23:04,720 --> 00:23:07,760 Speaker 6: win the future, we invented AI, we should be able 427 00:23:07,760 --> 00:23:10,960 Speaker 6: to use AI. I do not want anyone in America 428 00:23:11,119 --> 00:23:13,720 Speaker 6: to live near a hospital that doesn't have access to 429 00:23:13,760 --> 00:23:16,040 Speaker 6: an AI data center. That's just not the world that 430 00:23:16,080 --> 00:23:16,720 Speaker 6: I want to live in. 431 00:23:16,840 --> 00:23:20,199 Speaker 2: Yeah, Kevin very Well said. Kevin's a really futurist and 432 00:23:20,359 --> 00:23:25,840 Speaker 2: host of iHeartMedia's Hello Future podcast. There's a new trend 433 00:23:25,840 --> 00:23:28,840 Speaker 2: by gen zers to quit your job by just not 434 00:23:29,000 --> 00:23:32,760 Speaker 2: showing up up next, Career advice expert Greg g and 435 00:23:32,840 --> 00:23:37,440 Speaker 2: Grande warns you could end up paying dearly for that stunt. 436 00:23:38,080 --> 00:23:39,199 Speaker 2: Greg is up next. 437 00:23:40,280 --> 00:23:45,440 Speaker 1: Here again is Larry Menty with the WOOR Saturday Morning Show. 438 00:23:45,800 --> 00:23:49,359 Speaker 2: Thinking about retiring, trying to figure out what you should 439 00:23:49,359 --> 00:23:52,679 Speaker 2: tell your boss and when is the right time. Career 440 00:23:52,720 --> 00:23:57,800 Speaker 2: advice expert Greg gm Grande has the answers. Greg, a 441 00:23:57,920 --> 00:24:01,960 Speaker 2: couple interesting emails in your email box. I'm planning to 442 00:24:02,000 --> 00:24:05,439 Speaker 2: retire soon and I don't know when or how to 443 00:24:05,560 --> 00:24:09,800 Speaker 2: tell my boss. How much notice is enough? And should 444 00:24:09,800 --> 00:24:12,840 Speaker 2: I do it in person or buy email? I want 445 00:24:12,880 --> 00:24:15,400 Speaker 2: to keep things smooth and professional. 446 00:24:15,840 --> 00:24:18,439 Speaker 7: Well, the first rule of thumb if you want. 447 00:24:18,320 --> 00:24:21,119 Speaker 5: To keep things smooth and professional is to never deliver 448 00:24:21,200 --> 00:24:24,760 Speaker 5: news like this via email. It out of respect. It 449 00:24:24,800 --> 00:24:29,679 Speaker 5: should be in person. But before you deliver news of 450 00:24:29,760 --> 00:24:35,040 Speaker 5: your intent to retire. And this is the time of 451 00:24:35,160 --> 00:24:38,040 Speaker 5: year where you know, lots of people evaluate different things 452 00:24:38,040 --> 00:24:42,719 Speaker 5: in their lives, including their career. Retirement obviously is a 453 00:24:42,840 --> 00:24:46,880 Speaker 5: huge decision. Some people don't really think it through and 454 00:24:46,600 --> 00:24:49,840 Speaker 5: don't and aren't sure that they really lined up everything 455 00:24:49,880 --> 00:24:53,280 Speaker 5: that they would do after and and they're not sure 456 00:24:53,440 --> 00:24:56,480 Speaker 5: that they've got their plan set up, and sometimes it's 457 00:24:56,520 --> 00:24:59,720 Speaker 5: done emotionally. So before you make this big decision, before 458 00:24:59,760 --> 00:25:04,359 Speaker 5: you know, defy anyone. I've seen many many people regret afterwards. 459 00:25:04,400 --> 00:25:06,040 Speaker 5: I don't know what I was thinking, I don't know 460 00:25:06,080 --> 00:25:07,800 Speaker 5: what to do with myself, and they want to come back. 461 00:25:07,840 --> 00:25:10,720 Speaker 5: So first make sure it's what you really want to do, 462 00:25:11,400 --> 00:25:16,800 Speaker 5: and then before you let your employer know, evaluate the situation. 463 00:25:17,160 --> 00:25:21,240 Speaker 5: Because lots of companies are going through layoffs right now. 464 00:25:21,840 --> 00:25:28,440 Speaker 5: Sometimes they're offering voluntary exit packages. So instead of you 465 00:25:28,640 --> 00:25:32,240 Speaker 5: just leaving with some notice, you might be able to 466 00:25:32,280 --> 00:25:36,080 Speaker 5: walk away with some severance. Because it can be tricky 467 00:25:36,160 --> 00:25:39,560 Speaker 5: for companies to lay off people who are of retirement age. 468 00:25:39,600 --> 00:25:42,400 Speaker 5: It's done all the time, but it's trickier. So if 469 00:25:42,440 --> 00:25:45,919 Speaker 5: your company is going through something like that, it's worth 470 00:25:46,560 --> 00:25:48,720 Speaker 5: talking to your boss and say, hey, listen, I know 471 00:25:48,760 --> 00:25:52,359 Speaker 5: we're laying people off, or you're offering packages. You know 472 00:25:52,560 --> 00:25:54,840 Speaker 5: I might be open to something like that. Is that 473 00:25:55,000 --> 00:25:57,840 Speaker 5: something the company is willing to consider for me? 474 00:25:58,000 --> 00:26:00,280 Speaker 7: You might be able to get yourself a little something on. 475 00:26:00,040 --> 00:26:03,320 Speaker 5: The way out rather than just saying you're you're retiring. 476 00:26:03,440 --> 00:26:06,000 Speaker 2: Well, that's great advice. As always, I just talked somebody 477 00:26:06,000 --> 00:26:09,600 Speaker 2: out of retiring just recently because they were gonna do 478 00:26:09,640 --> 00:26:11,959 Speaker 2: it for the wrong reasons. They were gonna do it 479 00:26:11,960 --> 00:26:14,320 Speaker 2: because they didn't like the boss and they didn't like 480 00:26:14,400 --> 00:26:17,760 Speaker 2: their situation. And I said to them at that point, 481 00:26:17,760 --> 00:26:20,199 Speaker 2: then what what are you gonna do? What's gonna be 482 00:26:20,200 --> 00:26:22,479 Speaker 2: the next thing? And they really had no plan. They 483 00:26:22,520 --> 00:26:24,959 Speaker 2: were just mad. They were gonna do it on emotion, 484 00:26:25,119 --> 00:26:27,640 Speaker 2: which is probably, I think you would agree, Greg, the 485 00:26:27,920 --> 00:26:29,440 Speaker 2: worst reason to retire. 486 00:26:30,400 --> 00:26:35,520 Speaker 5: You never make any major decision during an emotional moment. 487 00:26:35,640 --> 00:26:39,879 Speaker 5: You really have to step back and talk to people 488 00:26:39,960 --> 00:26:43,720 Speaker 5: and calm down. These are two important decisions. But if 489 00:26:43,760 --> 00:26:46,680 Speaker 5: you've done all that and you still want to retire 490 00:26:46,840 --> 00:26:51,440 Speaker 5: and your company isn't offering any packages, then give yourself 491 00:26:51,480 --> 00:26:53,760 Speaker 5: plenty of notice, like I wouldn't. I wouldn't if you're 492 00:26:53,800 --> 00:26:56,280 Speaker 5: planning on retiring at the end of January, I would 493 00:26:56,280 --> 00:26:59,760 Speaker 5: have had that discussion a few months before. There's no 494 00:27:00,080 --> 00:27:04,920 Speaker 5: harm in working out a longer transition period. Your employer 495 00:27:05,000 --> 00:27:09,159 Speaker 5: will respect it because you're not saying I'm retiring in December. 496 00:27:09,280 --> 00:27:12,520 Speaker 5: What you're going to say is I'm thinking of retiring 497 00:27:12,800 --> 00:27:15,360 Speaker 5: in December, when would be a good time for us 498 00:27:15,400 --> 00:27:18,400 Speaker 5: to sit down and talk about what that might look 499 00:27:18,560 --> 00:27:22,280 Speaker 5: like and when we would start a transition period. That 500 00:27:22,320 --> 00:27:24,400 Speaker 5: would be the professional way to do it, to give 501 00:27:24,440 --> 00:27:28,800 Speaker 5: yourself as much transition time as possible and give the 502 00:27:28,840 --> 00:27:30,000 Speaker 5: employer that time too. 503 00:27:30,600 --> 00:27:33,040 Speaker 2: And when they say, oh good, that's not a good sign. 504 00:27:35,320 --> 00:27:38,359 Speaker 4: Yeah, but you're talking about transition time, Sam, like you know, 505 00:27:38,400 --> 00:27:40,280 Speaker 4: I want to retire in three. 506 00:27:40,040 --> 00:27:41,520 Speaker 2: Months, Like that's my plan. 507 00:27:41,560 --> 00:27:42,680 Speaker 6: And you go to your boss and. 508 00:27:42,640 --> 00:27:45,280 Speaker 1: You say, yeah, you know in June, I want to 509 00:27:45,280 --> 00:27:46,879 Speaker 1: thinking about calling it quits. 510 00:27:46,960 --> 00:27:48,959 Speaker 2: Bah bah bah bah. And they say, well, you know what, 511 00:27:49,160 --> 00:27:52,040 Speaker 2: we could do it sooner. I mean that's their call, 512 00:27:52,119 --> 00:27:52,720 Speaker 2: not yours. 513 00:27:52,800 --> 00:27:57,840 Speaker 5: Right, Well, that's why you're not saying I am forget 514 00:27:57,880 --> 00:28:01,040 Speaker 5: about retirement. Let's just call it a resignation, right, Yes, 515 00:28:01,200 --> 00:28:07,640 Speaker 5: your employer. Your employer doesn't have to honor your resignation date. 516 00:28:07,680 --> 00:28:11,000 Speaker 5: If you walk in and say I'm resigning, retiring, whatever, 517 00:28:11,359 --> 00:28:14,160 Speaker 5: and I'm leaving in three months, your employer can say 518 00:28:14,800 --> 00:28:17,040 Speaker 5: thank you for the notice. I don't need three months. 519 00:28:17,080 --> 00:28:20,920 Speaker 5: How about three days and let's make Wednesday your last day. 520 00:28:21,400 --> 00:28:23,960 Speaker 5: That is true, Natalie, They can do that, which is 521 00:28:24,000 --> 00:28:29,040 Speaker 5: why you're going to say I am thinking of retiring, 522 00:28:29,640 --> 00:28:33,680 Speaker 5: and if I were to retire, it would be around 523 00:28:33,760 --> 00:28:34,760 Speaker 5: this timeframe. 524 00:28:34,880 --> 00:28:38,200 Speaker 1: Okay, but by the way, I am not retiring. 525 00:28:38,840 --> 00:28:41,920 Speaker 2: We didn't think so. Believe me, I thought that was 526 00:28:41,960 --> 00:28:44,239 Speaker 2: going to happen. Let me go to the other end 527 00:28:44,280 --> 00:28:48,200 Speaker 2: of the spectrum on this, because the hip thing for 528 00:28:48,280 --> 00:28:51,000 Speaker 2: the cool kids to do is to just leave their 529 00:28:51,120 --> 00:28:54,560 Speaker 2: job without notifying anybody, just not showing up. It's a 530 00:28:54,560 --> 00:28:57,440 Speaker 2: big thing on social media right now. They brag about it. 531 00:28:57,640 --> 00:29:01,040 Speaker 2: They hated their jobs, so they just left, and everybody 532 00:29:01,080 --> 00:29:04,000 Speaker 2: salutes them for it. Does that going to hurt you 533 00:29:04,080 --> 00:29:04,560 Speaker 2: later on? 534 00:29:05,160 --> 00:29:07,520 Speaker 7: Yes, it is really. 535 00:29:07,760 --> 00:29:10,640 Speaker 5: I mean, unless you were like there's no record of 536 00:29:10,720 --> 00:29:13,120 Speaker 5: where you worked and there's no way to find out. 537 00:29:13,200 --> 00:29:17,720 Speaker 5: But today it is so easy, and most employers do 538 00:29:17,960 --> 00:29:19,400 Speaker 5: thorough background. 539 00:29:18,960 --> 00:29:21,480 Speaker 7: Checks and check your social media. 540 00:29:21,520 --> 00:29:24,880 Speaker 5: So if you are bragging I'm social about how you've 541 00:29:24,920 --> 00:29:29,920 Speaker 5: ghosted your employer, I might think twice, Larry, call me crazy. 542 00:29:30,080 --> 00:29:33,000 Speaker 5: I might think twice about extending a job offered to you. 543 00:29:33,840 --> 00:29:37,480 Speaker 2: Well, I'll tell you what. Just check social media. It's 544 00:29:37,680 --> 00:29:41,280 Speaker 2: all over the place people just leaving their jobs. And 545 00:29:41,320 --> 00:29:45,400 Speaker 2: when it becomes a trend, then everybody follows course and 546 00:29:45,880 --> 00:29:47,880 Speaker 2: you're right. I look at it and I think to myself, 547 00:29:48,040 --> 00:29:50,680 Speaker 2: I feel so bamed for these people. They have no 548 00:29:50,800 --> 00:29:54,160 Speaker 2: idea what they're doing. They're just, you know, I don't 549 00:29:54,160 --> 00:29:55,720 Speaker 2: want to call them young and dumb, but they're young 550 00:29:55,720 --> 00:29:56,120 Speaker 2: and dumb. 551 00:29:57,000 --> 00:30:03,280 Speaker 5: They are documenting series of career limiting moves that hopefully 552 00:30:03,280 --> 00:30:06,440 Speaker 5: at some point they will wake up and get some 553 00:30:06,560 --> 00:30:10,200 Speaker 5: maturity and stop doing that. But yes, it will hurt them. 554 00:30:10,440 --> 00:30:13,560 Speaker 2: Greg gim Grande, career advice expert. Check them out on 555 00:30:13,720 --> 00:30:17,280 Speaker 2: go too Greg dot com. That wraps up Saturday Morning 556 00:30:17,320 --> 00:30:19,680 Speaker 2: for this week. Thanks for listening, and thanks to Natalie 557 00:30:19,760 --> 00:30:23,880 Speaker 2: Vodka and Peter Arelano for putting the show together every week. 558 00:30:24,280 --> 00:30:26,040 Speaker 2: Have a great rest of your weekend. 559 00:30:26,160 --> 00:30:28,800 Speaker 1: This has been a podcast from wor