1 00:00:00,120 --> 00:00:03,720 Speaker 1: This is a podcast from WOR. Back now to the 2 00:00:03,960 --> 00:00:08,840 Speaker 1: WOR Saturday Morning Show with Larry MINTI. Welcome back. Nurses 3 00:00:08,840 --> 00:00:12,000 Speaker 1: have been on strike at five New York City hospitals 4 00:00:12,000 --> 00:00:16,919 Speaker 1: for almost a week. Is it ethical for nurses to strike? Well, 5 00:00:17,000 --> 00:00:20,480 Speaker 1: we happen to have a bioethicist to ask that very question. 6 00:00:20,600 --> 00:00:25,560 Speaker 1: Doctor Arthur Kaplan is a professor of bioethics at NYU's 7 00:00:25,680 --> 00:00:28,800 Speaker 1: Land Gone Medical Center. Doctor, I think you know what 8 00:00:28,840 --> 00:00:31,240 Speaker 1: I'm going to ask. You can men get pregnant? 9 00:00:31,400 --> 00:00:34,000 Speaker 2: Well, there are many biological No. 10 00:00:34,200 --> 00:00:40,600 Speaker 1: I really thought that was about to happen. You had 11 00:00:40,640 --> 00:00:42,320 Speaker 1: me pulled there for half a second. 12 00:00:45,159 --> 00:00:48,240 Speaker 2: I mean, there are certainly people who you know, undergo 13 00:00:48,440 --> 00:00:54,920 Speaker 2: procedures and bring along their capability to get pregnant, I 14 00:00:54,960 --> 00:01:00,360 Speaker 2: guess in different appearances or something. But no, then cannot 15 00:01:00,400 --> 00:01:02,200 Speaker 2: get pregnant. Women get pregnant. 16 00:01:02,600 --> 00:01:05,600 Speaker 1: It must, we do know. I would think as a 17 00:01:05,640 --> 00:01:12,280 Speaker 1: medical professional, this would upset you that politics get so 18 00:01:12,400 --> 00:01:18,480 Speaker 1: involved in medicine these days. In both sides, political influence 19 00:01:19,080 --> 00:01:24,399 Speaker 1: has been involved in medical treatments. It's been involved in 20 00:01:24,440 --> 00:01:28,039 Speaker 1: medical dialogue, and certainly in some of the things coming 21 00:01:28,040 --> 00:01:33,360 Speaker 1: out of Washington. Politics and medicine should be on islands 22 00:01:33,560 --> 00:01:34,520 Speaker 1: away from each other. 23 00:01:34,840 --> 00:01:36,920 Speaker 2: Well, I agree with that. You know, I'll give you 24 00:01:37,480 --> 00:01:41,240 Speaker 2: a different one. That drives me nuts. People keep saying 25 00:01:41,280 --> 00:01:43,440 Speaker 2: trumpas say that there are only two genders. That's it. 26 00:01:43,920 --> 00:01:46,399 Speaker 2: Now we know that isn't true because there are people 27 00:01:46,480 --> 00:01:49,520 Speaker 2: born with mixed genes and chromosomes. And the group that's 28 00:01:49,520 --> 00:01:52,200 Speaker 2: had a hard time with it is the Olympics. Right. 29 00:01:52,240 --> 00:01:55,960 Speaker 2: They're constantly trying to put some people into the male 30 00:01:56,120 --> 00:01:58,160 Speaker 2: or the female category, and they don't know whether they 31 00:01:58,160 --> 00:02:02,600 Speaker 2: should look at their physical trades, their gems, their hormones 32 00:02:02,680 --> 00:02:05,440 Speaker 2: and so on. So there is a tiny number of 33 00:02:05,480 --> 00:02:07,320 Speaker 2: people that follow in the sort of I don't know 34 00:02:07,360 --> 00:02:11,640 Speaker 2: what to call it, gray zone. That's biological reality. That's 35 00:02:11,680 --> 00:02:15,000 Speaker 2: just how it is. So you know, whether you want 36 00:02:15,280 --> 00:02:18,680 Speaker 2: people competing in sports to have to meet certain moves, 37 00:02:19,360 --> 00:02:21,360 Speaker 2: you can set the holes, but you don't want to 38 00:02:21,360 --> 00:02:24,800 Speaker 2: distort the biological reality in the other direction and say, well, 39 00:02:24,840 --> 00:02:27,040 Speaker 2: everybody clearly is one of the other. There were all 40 00:02:27,040 --> 00:02:31,480 Speaker 2: these racers and people who were x X Y and 41 00:02:31,520 --> 00:02:34,880 Speaker 2: so forth. They're trying to compete as women or men 42 00:02:34,960 --> 00:02:37,520 Speaker 2: or whatever they want to do. There are some fuzzy 43 00:02:38,120 --> 00:02:40,280 Speaker 2: gray zone people. I guess is the way I put it. 44 00:02:40,320 --> 00:02:41,639 Speaker 2: That's just the way it is. 45 00:02:41,919 --> 00:02:44,720 Speaker 1: Yeah, I'm thinking about the last Olympics. Remember there was 46 00:02:44,760 --> 00:02:48,160 Speaker 1: a female boxer who won and was just destroying everybody, 47 00:02:48,160 --> 00:02:51,600 Speaker 1: and it turned out she had high male hormones, but 48 00:02:52,160 --> 00:02:56,160 Speaker 1: she had female genital she was born with female genital. Yeah, 49 00:02:56,840 --> 00:02:58,079 Speaker 1: that's exactly what you're talking about. 50 00:02:58,360 --> 00:03:00,560 Speaker 2: That's that's exactly what I'm talking talking about it. And 51 00:03:00,560 --> 00:03:02,680 Speaker 2: you can decide let her in, don't let her in, 52 00:03:02,880 --> 00:03:05,440 Speaker 2: or it's unfair, or she's too big or whatever. But 53 00:03:06,320 --> 00:03:10,639 Speaker 2: you know, the reality is there are a tiny percentage 54 00:03:10,680 --> 00:03:14,120 Speaker 2: of people super tighty who follow in this weird gray zone. 55 00:03:14,160 --> 00:03:16,560 Speaker 2: They have more horm diesosterone than you think they should 56 00:03:16,560 --> 00:03:19,520 Speaker 2: for a female, for example, or they just have mixed chromosomes. 57 00:03:19,520 --> 00:03:22,600 Speaker 2: It's you know, some people are born x y. Most 58 00:03:22,639 --> 00:03:24,680 Speaker 2: of us are xx x y, but a few of 59 00:03:24,760 --> 00:03:27,959 Speaker 2: us are like x x y y. Weird things, and 60 00:03:28,080 --> 00:03:30,239 Speaker 2: you got to decide how you want to classify them. 61 00:03:30,600 --> 00:03:32,760 Speaker 1: Here's the thing we're talking about the news, and there's 62 00:03:32,760 --> 00:03:34,640 Speaker 1: a couple of things in the news that are that 63 00:03:34,680 --> 00:03:37,760 Speaker 1: are interesting. When it comes to medical ethics, Is it 64 00:03:37,800 --> 00:03:39,760 Speaker 1: ethical for nurses to strike? 65 00:03:40,120 --> 00:03:42,760 Speaker 2: Boy? Is that an interesting issue. So we're entering day 66 00:03:42,760 --> 00:03:45,840 Speaker 2: four New York City big strike, right yep. On the 67 00:03:46,160 --> 00:03:49,480 Speaker 2: on the side of those who say yes, nurses on 68 00:03:49,720 --> 00:03:52,920 Speaker 2: strike and their supporters, they say, look for the greater good, 69 00:03:53,400 --> 00:03:57,160 Speaker 2: you've got to protect staffing these hospitals, the ones that 70 00:03:57,160 --> 00:04:00,360 Speaker 2: are striking or cutting back on the number of versus 71 00:04:00,400 --> 00:04:03,320 Speaker 2: they have on the floors at different times, they're putting 72 00:04:03,400 --> 00:04:07,400 Speaker 2: patients at risk. It's too violent. They've got to make 73 00:04:07,440 --> 00:04:11,520 Speaker 2: the place a safer for us to work. So that's 74 00:04:11,120 --> 00:04:15,440 Speaker 2: the justification. Has protect us and do something to protect 75 00:04:15,440 --> 00:04:19,080 Speaker 2: patients in the long run. In the short run, it's 76 00:04:19,160 --> 00:04:21,800 Speaker 2: not good to not have nurses around. You know what 77 00:04:21,839 --> 00:04:24,480 Speaker 2: they're trying to do leary. They're trying to use substitutes, 78 00:04:24,600 --> 00:04:28,640 Speaker 2: you know, strike breakers, what they call travel nurses. That 79 00:04:28,720 --> 00:04:31,080 Speaker 2: doesn't really work. You can't just bring somebody into a 80 00:04:31,160 --> 00:04:35,000 Speaker 2: hospital setting different specialty areas and say, you know, well, 81 00:04:35,040 --> 00:04:37,919 Speaker 2: you'll be the nurse there. It doesn't. You need to 82 00:04:37,960 --> 00:04:40,000 Speaker 2: know what's going on in the particular part of the 83 00:04:40,000 --> 00:04:43,280 Speaker 2: hospital where the nurses are not. I've always favored this. 84 00:04:43,360 --> 00:04:44,880 Speaker 2: I don't know what you think, but I think they 85 00:04:44,880 --> 00:04:49,560 Speaker 2: ought to be under like the police and fire compulsory arbitration, 86 00:04:50,000 --> 00:04:55,160 Speaker 2: mandatory mediation and arbitration. The cops can't strike, fire can't strike, 87 00:04:55,279 --> 00:04:58,640 Speaker 2: the military doesn't strike, You have them have to go 88 00:04:58,760 --> 00:05:01,640 Speaker 2: to a mediation. Why don't we do this for doctors 89 00:05:01,640 --> 00:05:02,200 Speaker 2: and nurses? 90 00:05:02,760 --> 00:05:06,200 Speaker 1: So you're not going to say it's ethical or ethical. 91 00:05:06,279 --> 00:05:08,960 Speaker 1: You just think it means it takes common sense to 92 00:05:09,000 --> 00:05:11,240 Speaker 1: know that they shouldn't be on strike, and there is 93 00:05:11,279 --> 00:05:13,960 Speaker 1: a way around this because we've done it with other professions. 94 00:05:14,480 --> 00:05:18,720 Speaker 2: Yeah, yeah, other essential professions. I don't putting people at risk, 95 00:05:19,120 --> 00:05:21,320 Speaker 2: and you are if you're on strike as a doctor, 96 00:05:21,320 --> 00:05:23,200 Speaker 2: a nurse, or a PT, you or whatever in a 97 00:05:23,279 --> 00:05:26,480 Speaker 2: hospital setting. Boy, that's hard to defend. On the other hand, 98 00:05:26,480 --> 00:05:29,360 Speaker 2: I get that the nurses may feel helpless, and what more, 99 00:05:29,440 --> 00:05:33,440 Speaker 2: nurses they say, these hospitals are paying, you know, not 100 00:05:33,640 --> 00:05:36,280 Speaker 2: enough money to really staff them properly, and we've got 101 00:05:36,320 --> 00:05:39,280 Speaker 2: to do something about it. Boy, that sounds like arbitration 102 00:05:39,360 --> 00:05:39,560 Speaker 2: to me. 103 00:05:40,040 --> 00:05:42,719 Speaker 1: You know, I want to go back to the doctor 104 00:05:42,800 --> 00:05:46,200 Speaker 1: who wouldn't answer the question about men getting pregnant, Not 105 00:05:46,240 --> 00:05:47,960 Speaker 1: because I want to deal with that, but I do 106 00:05:48,040 --> 00:05:51,520 Speaker 1: want to deal with politics being infused into medicine these days, 107 00:05:51,520 --> 00:05:53,640 Speaker 1: to the point where where a lot of people don't 108 00:05:53,640 --> 00:05:56,320 Speaker 1: know who to believe or who to follow. It's become 109 00:05:56,360 --> 00:05:57,920 Speaker 1: a problem, hasn't it. 110 00:05:57,920 --> 00:06:02,160 Speaker 2: It really is. So you get all kinds of influencers 111 00:06:02,200 --> 00:06:05,360 Speaker 2: no training out there pushing. I'll tell you what today's 112 00:06:05,600 --> 00:06:08,680 Speaker 2: big deal is. You may have seen this whole milk. 113 00:06:09,760 --> 00:06:13,599 Speaker 2: Oh the last twenty four hours, Kennedy, Trump, all kinds 114 00:06:13,640 --> 00:06:17,080 Speaker 2: of people Ben Carson have been having big meetings about. 115 00:06:17,200 --> 00:06:21,360 Speaker 2: They're very excited that whole milk is coming back into 116 00:06:21,920 --> 00:06:24,800 Speaker 2: the American diet. The war on fat, as they say, 117 00:06:24,920 --> 00:06:27,559 Speaker 2: is over, and we're all gonna be drinking whole milk. 118 00:06:27,760 --> 00:06:31,599 Speaker 2: I mean, I don't know. Two percent milk is nice 119 00:06:33,360 --> 00:06:38,280 Speaker 2: as fascination is whole milk. But it's like this magic 120 00:06:38,760 --> 00:06:41,559 Speaker 2: elixure or something, and you're sort of like, well, should 121 00:06:41,600 --> 00:06:44,760 Speaker 2: I put my kids out of whole milk that much bad? 122 00:06:44,960 --> 00:06:49,040 Speaker 2: Is it really great? So? Yeah, a lot of I 123 00:06:49,120 --> 00:06:50,120 Speaker 2: think that if I. 124 00:06:50,120 --> 00:06:51,719 Speaker 1: Were a guest doctor, I think this has something to 125 00:06:51,720 --> 00:06:54,640 Speaker 1: do with the dairy farmers. That's probably what it is. 126 00:06:55,000 --> 00:06:56,480 Speaker 2: That's my hugs too. 127 00:06:57,800 --> 00:07:01,040 Speaker 1: Thanks a lot, Doctor Arthur Kaplan, Professor of Bioethics at 128 00:07:01,080 --> 00:07:03,880 Speaker 1: New York University, lend Gone Medical Center with us every 129 00:07:03,920 --> 00:07:06,680 Speaker 1: Thursday at nine oh five. Thanks a lot, Doctor, good 130 00:07:06,680 --> 00:07:09,800 Speaker 1: talking to you. Hey, this has been a podcast from 131 00:07:10,080 --> 00:07:10,800 Speaker 1: wor