1 00:00:00,320 --> 00:00:03,400 Speaker 1: During the height of the coronavirus pandemic, New York Governor 2 00:00:03,440 --> 00:00:06,760 Speaker 1: Andrew Como sent thousands of infected elderly people to their 3 00:00:06,760 --> 00:00:11,240 Speaker 1: deaths and nursing homes. He should be ashamed of himself. Instead, 4 00:00:11,360 --> 00:00:14,760 Speaker 1: he wrote a book touting his leadership. But now the 5 00:00:14,800 --> 00:00:17,319 Speaker 1: truth has finally caught up with the governor. This is 6 00:00:17,360 --> 00:00:25,239 Speaker 1: outlowed with Jianno called off. Welcome back to Allow with 7 00:00:25,239 --> 00:00:27,880 Speaker 1: Giano Caldwell. I have a big show for you guys. 8 00:00:28,360 --> 00:00:31,760 Speaker 1: My guest this week is Janis Deane, the senior meteorologist 9 00:00:31,840 --> 00:00:34,640 Speaker 1: for Fox News Channel. She's also the bestselling author of 10 00:00:34,720 --> 00:00:37,199 Speaker 1: Mostly Sonny, How I Learned to Keep Smiling through the 11 00:00:37,320 --> 00:00:41,000 Speaker 1: Rainiest Days. In recent months, Janis has become a fearless 12 00:00:41,040 --> 00:00:43,920 Speaker 1: critic of New York Governors Andrew Como for his handling 13 00:00:43,960 --> 00:00:48,080 Speaker 1: in the coronavirus pandemic, especially his decision in March to 14 00:00:48,200 --> 00:00:51,880 Speaker 1: order nursing homes to accept infected patients. Thousands of elderly 15 00:00:51,960 --> 00:00:54,720 Speaker 1: people who died of COVID as a result. Among them 16 00:00:54,720 --> 00:00:57,240 Speaker 1: were both of janis in laws, who passed away in 17 00:00:57,280 --> 00:01:00,959 Speaker 1: New York nursing homes from the virus last year. Since then, 18 00:01:01,040 --> 00:01:04,000 Speaker 1: Janie has become such a powerful voice that a growing 19 00:01:04,080 --> 00:01:06,000 Speaker 1: number of Republicans are calling on her to run for 20 00:01:06,080 --> 00:01:10,000 Speaker 1: governor in two I'll ask her about that. I also 21 00:01:10,120 --> 00:01:13,600 Speaker 1: ask her about almost handling of the pandemic and much more. 22 00:01:14,080 --> 00:01:20,200 Speaker 1: Let's go, miss Janice Dean. How are you? I am wonderful. 23 00:01:20,360 --> 00:01:23,040 Speaker 1: It's so nice to talk to you, my friend. It's 24 00:01:23,040 --> 00:01:25,240 Speaker 1: been so long since we we've seen each other in 25 00:01:25,240 --> 00:01:28,679 Speaker 1: New York. Uh not been in studio for quite a 26 00:01:28,680 --> 00:01:33,280 Speaker 1: while myself, But it's always warm when I see you, 27 00:01:33,840 --> 00:01:35,960 Speaker 1: and your smile lights up my day. And I'm not 28 00:01:36,040 --> 00:01:38,880 Speaker 1: just saying that to say something. You're really really full 29 00:01:38,880 --> 00:01:41,880 Speaker 1: of joy and happiness. And I'm so thankful uh to 30 00:01:42,040 --> 00:01:44,400 Speaker 1: know you, to call you a friend, to be a colleague, 31 00:01:44,440 --> 00:01:46,360 Speaker 1: because I think you do bring joy to the world. 32 00:01:47,800 --> 00:01:50,360 Speaker 1: Oh what do I say to that? I feel exactly 33 00:01:50,400 --> 00:01:53,000 Speaker 1: the same way about you. I mean, it's been so 34 00:01:53,080 --> 00:01:55,600 Speaker 1: long since we've seen each other face to face in 35 00:01:55,640 --> 00:01:59,080 Speaker 1: the hallway, and when I do see you, I'm going 36 00:01:59,120 --> 00:02:02,720 Speaker 1: to give you the world biggest hog. And um, you 37 00:02:02,760 --> 00:02:05,920 Speaker 1: know you bring sunshine as well, my friend. No, I 38 00:02:06,040 --> 00:02:08,160 Speaker 1: truly appreciate that. So thank you for coming on the 39 00:02:08,360 --> 00:02:11,560 Speaker 1: allowed with Giano Caldwell and Jennie. I want to begin 40 00:02:11,840 --> 00:02:14,680 Speaker 1: by playing a clip of you from Fox News a 41 00:02:14,720 --> 00:02:17,079 Speaker 1: few days ago, just to set up the clip for 42 00:02:17,120 --> 00:02:19,959 Speaker 1: our listeners. Back in March, New York Governor Andrew Como 43 00:02:20,040 --> 00:02:24,000 Speaker 1: signed an executive order mandating nursing homes to accept elderly 44 00:02:24,040 --> 00:02:27,320 Speaker 1: people with COVID. Thousands of people died in the nursing 45 00:02:27,360 --> 00:02:31,080 Speaker 1: homes as a result, and then just this past week, 46 00:02:31,160 --> 00:02:35,080 Speaker 1: New York Attorney General James released a damning report showing 47 00:02:35,120 --> 00:02:38,720 Speaker 1: the Como's administration under report at the number of deaths 48 00:02:38,840 --> 00:02:42,160 Speaker 1: due to COVID in New York nursing homes by perhaps 49 00:02:42,240 --> 00:02:46,320 Speaker 1: fifty This could increase the number of actual deaths just 50 00:02:46,440 --> 00:02:50,400 Speaker 1: in nursing homes from from around seven hundred the current 51 00:02:50,440 --> 00:02:53,839 Speaker 1: official figure, to over thirteen thousand. And I just want 52 00:02:53,880 --> 00:02:57,200 Speaker 1: to read this one line from the report. While we 53 00:02:57,280 --> 00:03:01,480 Speaker 1: cannot bring back the individuals wel lost to this crisis, 54 00:03:01,880 --> 00:03:05,920 Speaker 1: this report seeks to offer transparency that the public deserves 55 00:03:05,960 --> 00:03:10,240 Speaker 1: and to spur increase action to protect our most vulnerable residents. 56 00:03:10,760 --> 00:03:13,080 Speaker 1: Now here's what you said in response to all of this. 57 00:03:13,680 --> 00:03:15,720 Speaker 1: I don't really know what to say. I when I 58 00:03:15,760 --> 00:03:18,200 Speaker 1: saw the report and I knew that it was coming, 59 00:03:18,240 --> 00:03:21,880 Speaker 1: probably an hour before it was released. I called my 60 00:03:21,960 --> 00:03:24,240 Speaker 1: husband and I called my sister in law, and I 61 00:03:24,280 --> 00:03:29,920 Speaker 1: said that maybe the angels one, Maybe the angels will 62 00:03:29,919 --> 00:03:33,160 Speaker 1: have their day in court, and maybe this governor will 63 00:03:33,240 --> 00:03:37,840 Speaker 1: be held accountable. Harris. I didn't want to be in 64 00:03:37,840 --> 00:03:41,560 Speaker 1: this position. I'm not a political person, but my family 65 00:03:41,680 --> 00:03:45,200 Speaker 1: was affected and I wasn't seeing the coverage. I wasn't 66 00:03:45,280 --> 00:03:49,360 Speaker 1: seeing the questions being asked of this governor. He continued 67 00:03:49,440 --> 00:03:53,240 Speaker 1: to pass the blame on everyone else and everything else, 68 00:03:53,960 --> 00:03:58,680 Speaker 1: and he still to this day, will not accept any responsibility. 69 00:03:59,120 --> 00:04:01,840 Speaker 1: And there were law suits, and there were journalists that 70 00:04:01,960 --> 00:04:04,920 Speaker 1: wanted to do good and get those numbers for all 71 00:04:04,960 --> 00:04:09,120 Speaker 1: of the families that deserved them. And finally today there 72 00:04:09,200 --> 00:04:12,600 Speaker 1: is a ray of light. There is sunshine and darkness, 73 00:04:13,040 --> 00:04:15,640 Speaker 1: and I thank this Attorney General. I know that there 74 00:04:15,680 --> 00:04:19,400 Speaker 1: have been thousands of families that have written letters and 75 00:04:19,480 --> 00:04:23,120 Speaker 1: have wanted to have answers, and I'm so grateful on 76 00:04:23,200 --> 00:04:26,279 Speaker 1: behalf of all of them for giving me love and support, 77 00:04:26,360 --> 00:04:29,039 Speaker 1: because this is never a role I thought I would 78 00:04:29,080 --> 00:04:31,960 Speaker 1: ever be in, Harris. But I'm so grateful today that 79 00:04:32,960 --> 00:04:37,400 Speaker 1: justice might be served. Wow, and I gotta tell you, 80 00:04:37,520 --> 00:04:41,040 Speaker 1: listening to that makes me want to cry. Those words 81 00:04:41,040 --> 00:04:45,799 Speaker 1: are just sincerely so powerful. And to be a fighter 82 00:04:46,560 --> 00:04:49,800 Speaker 1: for thousands of people that you don't even know, um 83 00:04:49,960 --> 00:04:52,280 Speaker 1: on behalf of your family and many many others, just 84 00:04:52,320 --> 00:04:56,440 Speaker 1: to see justice done. I mean that that's just such 85 00:04:56,480 --> 00:05:00,440 Speaker 1: an awesome, awesome action that you've taken. And I want 86 00:05:00,440 --> 00:05:03,919 Speaker 1: to thank you personally for that. And if you could 87 00:05:03,960 --> 00:05:06,680 Speaker 1: just elaborate, elaborate on what you're feeling, because it is 88 00:05:06,720 --> 00:05:09,640 Speaker 1: new report. What are your thoughts on the findings, How 89 00:05:09,680 --> 00:05:11,960 Speaker 1: are you feeling, how is your family feeling in doing 90 00:05:14,320 --> 00:05:16,800 Speaker 1: I teered up when I heard that because it's the 91 00:05:16,839 --> 00:05:20,719 Speaker 1: first time I've heard it back, and it's hard because 92 00:05:20,760 --> 00:05:25,760 Speaker 1: that's raw. That was raw emotion. I remember Harris asking 93 00:05:25,760 --> 00:05:29,440 Speaker 1: me or the producer of Harris's show, UM, Rachel, who 94 00:05:29,480 --> 00:05:34,000 Speaker 1: I love, Rachel mcintee, who I've worked with for seventeen years, 95 00:05:34,040 --> 00:05:36,000 Speaker 1: and she emailed me and she said, will you come 96 00:05:36,000 --> 00:05:41,000 Speaker 1: on with Harris? UM? And the report had just been issued, 97 00:05:41,200 --> 00:05:44,520 Speaker 1: so I was looking over it, UM and I hadn't 98 00:05:44,560 --> 00:05:46,760 Speaker 1: read all of it, but I knew what it what 99 00:05:46,920 --> 00:05:51,960 Speaker 1: it had, and it had information that we have been 100 00:05:52,000 --> 00:05:56,599 Speaker 1: wanting for months. For ten months, we knew this governor 101 00:05:56,720 --> 00:06:03,000 Speaker 1: was hiding the numbers. And to know that the Attorney General, 102 00:06:03,080 --> 00:06:06,480 Speaker 1: who was a Democrat by the way, who was endorsed 103 00:06:06,880 --> 00:06:12,000 Speaker 1: by Cuomo, who conducted her own investigation into this governor 104 00:06:12,040 --> 00:06:15,400 Speaker 1: and came up with the answers we've been wanting for 105 00:06:15,560 --> 00:06:18,960 Speaker 1: so many months. It was like a ray of light. 106 00:06:19,080 --> 00:06:23,960 Speaker 1: But I will say it's just a door opening, because 107 00:06:24,800 --> 00:06:28,200 Speaker 1: I truly want this governor and his administration and his 108 00:06:28,320 --> 00:06:31,320 Speaker 1: Health Department to have to go in front of a 109 00:06:31,400 --> 00:06:35,200 Speaker 1: jury and have to tell the truth, the whole truth, 110 00:06:35,240 --> 00:06:39,120 Speaker 1: and nothing but the truth in front of families who 111 00:06:39,279 --> 00:06:43,279 Speaker 1: lost loved ones because of this governor's mandate to put 112 00:06:44,400 --> 00:06:48,320 Speaker 1: infected patients into nursing homes when we had no idea 113 00:06:48,400 --> 00:06:51,800 Speaker 1: that was happening, We never got a heads up, and 114 00:06:51,880 --> 00:06:54,720 Speaker 1: to have that happened for forty six days. So this 115 00:06:54,800 --> 00:07:02,240 Speaker 1: is hopefully a beginning. UM. Yesterday or Friday, the governor 116 00:07:03,240 --> 00:07:06,760 Speaker 1: held a press conference and he didn't even talk about 117 00:07:06,839 --> 00:07:09,960 Speaker 1: the a G report until reporters at the very end 118 00:07:10,000 --> 00:07:15,119 Speaker 1: we asked questions, and he went back to the old 119 00:07:15,160 --> 00:07:22,080 Speaker 1: ways of blaming everyone else, still blaming Trump Um. And 120 00:07:22,320 --> 00:07:26,680 Speaker 1: so I feel like he's learned nothing. He still won't 121 00:07:27,200 --> 00:07:31,440 Speaker 1: even though his Attorney General in New York has come 122 00:07:31,440 --> 00:07:35,760 Speaker 1: out with his damning seventy six page report, he continues 123 00:07:35,880 --> 00:07:41,160 Speaker 1: to deny and blame and not accept any accountability. So 124 00:07:41,320 --> 00:07:45,200 Speaker 1: I would like a bipartisan investigation with subpoena power where 125 00:07:45,280 --> 00:07:48,800 Speaker 1: we can put him on the stand and a jury 126 00:07:49,120 --> 00:07:54,040 Speaker 1: determines what happens next. And you believe that there was 127 00:07:54,160 --> 00:07:59,320 Speaker 1: in fact a cover up here. I do, I really do, 128 00:07:59,680 --> 00:08:02,240 Speaker 1: because if he had nothing to hide, why would he 129 00:08:02,920 --> 00:08:05,720 Speaker 1: work so hard not to give us those numbers. I mean, 130 00:08:07,120 --> 00:08:11,680 Speaker 1: he went on television and was using bad statistics because 131 00:08:11,680 --> 00:08:13,520 Speaker 1: he wouldn't give us the numbers he was alway he 132 00:08:13,520 --> 00:08:15,800 Speaker 1: would always say, oh, well, you know, New York is 133 00:08:15,880 --> 00:08:22,680 Speaker 1: forty six of fifty states in terms of nursing home deaths. 134 00:08:22,720 --> 00:08:27,360 Speaker 1: So he was using the numbers that were not legit 135 00:08:28,120 --> 00:08:32,800 Speaker 1: to help his cause in saying I didn't do anything 136 00:08:32,840 --> 00:08:37,240 Speaker 1: wrong and it wasn't my mandate to put COVID positive 137 00:08:37,240 --> 00:08:42,280 Speaker 1: patients into nursing homes. So he would lie every day, um, 138 00:08:42,720 --> 00:08:47,280 Speaker 1: and we had the Justice Department has an investigation into this. 139 00:08:47,720 --> 00:08:52,240 Speaker 1: There were several reporters using the Foil Act to get 140 00:08:52,280 --> 00:08:56,600 Speaker 1: the numbers and kept being stone walled and kept his 141 00:08:56,720 --> 00:08:59,320 Speaker 1: Health department would say, we don't have we don't have 142 00:08:59,360 --> 00:09:01,960 Speaker 1: access to the numbers. Will get back to you. We 143 00:09:01,960 --> 00:09:04,560 Speaker 1: we need to do more research. And yet when the 144 00:09:04,600 --> 00:09:07,199 Speaker 1: a G Report came out, all of a sudden, they 145 00:09:07,240 --> 00:09:10,560 Speaker 1: had the numbers, or at least part of them. I 146 00:09:10,600 --> 00:09:13,079 Speaker 1: want to turn down to the aftermath of almost lethal 147 00:09:13,200 --> 00:09:16,120 Speaker 1: executive order and how he's trying to portray himself as 148 00:09:16,120 --> 00:09:18,800 Speaker 1: a hero when he's really more of a villain. But 149 00:09:18,920 --> 00:09:23,360 Speaker 1: first he was a quick word from our sponsor now 150 00:09:23,440 --> 00:09:26,840 Speaker 1: and responses report, which was interesting to me to hear 151 00:09:26,880 --> 00:09:30,960 Speaker 1: from the governor. He was incredibly defensive. During a press conference, 152 00:09:31,000 --> 00:09:34,800 Speaker 1: he dismissed his critics as politically motivated and said this 153 00:09:34,960 --> 00:09:41,320 Speaker 1: exact quote, who cares whether or died in the hospital, 154 00:09:41,760 --> 00:09:44,959 Speaker 1: died in a nursing home. They died. How callous can 155 00:09:45,000 --> 00:09:50,359 Speaker 1: you be to make a statement like that? That's him, 156 00:09:50,400 --> 00:09:54,600 Speaker 1: That's that's him. Unfortunately, I've covered him for ten months 157 00:09:54,600 --> 00:10:00,240 Speaker 1: now and he he just has no empathy. I really 158 00:10:00,240 --> 00:10:05,480 Speaker 1: think it's a personality defect. I know that sounds that 159 00:10:05,600 --> 00:10:08,240 Speaker 1: might sound callous, but I do think that's part of 160 00:10:08,280 --> 00:10:12,319 Speaker 1: his personality, he doesn't. He isn't able to have any 161 00:10:12,400 --> 00:10:17,079 Speaker 1: empathy at all for the families. If he had come 162 00:10:17,080 --> 00:10:21,400 Speaker 1: out in the very beginning and said, I'm sorry for 163 00:10:21,480 --> 00:10:24,880 Speaker 1: your loss. I made a mistake. I got bad information. 164 00:10:25,440 --> 00:10:29,440 Speaker 1: I shouldn't have put those patients into nursing homes. I 165 00:10:29,480 --> 00:10:32,760 Speaker 1: feel so bad. Um, we wouldn't be here today. I 166 00:10:32,760 --> 00:10:34,720 Speaker 1: would have accepted that had he said, you know, we're 167 00:10:34,720 --> 00:10:37,360 Speaker 1: in the middle of a hundred year pandemic and no 168 00:10:37,400 --> 00:10:41,840 Speaker 1: one saw this coming, and I am so sorry for 169 00:10:41,880 --> 00:10:44,800 Speaker 1: your loss. Had he done that, but he's not capable 170 00:10:44,880 --> 00:10:49,520 Speaker 1: of doing that. Um, And so you know my responses. 171 00:10:50,160 --> 00:10:54,160 Speaker 1: I always assumed he really really didn't care about our families, 172 00:10:54,240 --> 00:10:59,600 Speaker 1: and now with that response, I'm sure of that. And 173 00:10:59,640 --> 00:11:02,120 Speaker 1: tried to leave both your in law's dot in New 174 00:11:02,200 --> 00:11:05,640 Speaker 1: York nursing homes from the coronavirus last year. I was 175 00:11:05,720 --> 00:11:08,440 Speaker 1: hoping you could take us back to that day and 176 00:11:08,520 --> 00:11:11,400 Speaker 1: just describe what that Tom was like for you and 177 00:11:11,440 --> 00:11:14,160 Speaker 1: your husband on a personal level, if you're comfortable doing so. 178 00:11:14,920 --> 00:11:18,880 Speaker 1: Of course, I mean it's very difficult, but I will 179 00:11:18,920 --> 00:11:22,480 Speaker 1: tell you I feel like it was his parents, my 180 00:11:22,559 --> 00:11:26,720 Speaker 1: husband's parents making indeed, that gave me the strength to continue, 181 00:11:26,800 --> 00:11:28,840 Speaker 1: because there were many times where I just thought, I'm 182 00:11:28,840 --> 00:11:31,640 Speaker 1: not going to win this fight. He's too powerful and 183 00:11:31,679 --> 00:11:34,760 Speaker 1: he has too many people protecting him. You know. I 184 00:11:34,840 --> 00:11:37,200 Speaker 1: felt sometimes like I was this little aunt with the 185 00:11:37,240 --> 00:11:43,359 Speaker 1: boulder going up the mountain, and they were great, wonderful people. Um. 186 00:11:43,480 --> 00:11:47,200 Speaker 1: And you know, I feel for people like my husband 187 00:11:47,200 --> 00:11:51,440 Speaker 1: and I who for many months didn't know how to 188 00:11:51,640 --> 00:11:55,079 Speaker 1: care for his parents properly. They were in a four 189 00:11:55,120 --> 00:11:58,440 Speaker 1: story walk up in Brooklyn for you know, over fifty years, 190 00:11:59,000 --> 00:12:02,120 Speaker 1: and their health was ailing them. And you know, my 191 00:12:02,200 --> 00:12:04,560 Speaker 1: husband had aids that would go in to try to 192 00:12:04,640 --> 00:12:07,040 Speaker 1: take care of them, but there were still trips to 193 00:12:07,080 --> 00:12:11,319 Speaker 1: the e er and trips to the hospital. So there 194 00:12:11,320 --> 00:12:13,840 Speaker 1: are many months of trying to come up with a 195 00:12:13,880 --> 00:12:16,559 Speaker 1: way that we can take care of them and have 196 00:12:16,600 --> 00:12:22,640 Speaker 1: twenty four hour care. And Sean's dad had dementia and 197 00:12:22,920 --> 00:12:27,120 Speaker 1: he his health was failing him. His mom had trouble walking, 198 00:12:27,160 --> 00:12:30,440 Speaker 1: but her mind was spry. I mean she you know, 199 00:12:31,280 --> 00:12:33,360 Speaker 1: every day he talked to her, sometimes two or three 200 00:12:33,400 --> 00:12:37,240 Speaker 1: times a day. She was just this wonderful, wonderful woman. Um. 201 00:12:37,280 --> 00:12:39,480 Speaker 1: But yeah, they both needed care. So we had to 202 00:12:39,520 --> 00:12:42,080 Speaker 1: get his dad first. In better shape to join his 203 00:12:42,160 --> 00:12:44,880 Speaker 1: mom and assisted living facility which was close to us 204 00:12:44,880 --> 00:12:47,040 Speaker 1: on Long Island, so that we could go visit them, 205 00:12:47,040 --> 00:12:50,959 Speaker 1: bring the family um, and that was the plan. So 206 00:12:51,120 --> 00:12:54,000 Speaker 1: Mickey was in a nursing home for rehab to get 207 00:12:54,040 --> 00:12:57,440 Speaker 1: him in better health to join his wife. D and 208 00:12:57,960 --> 00:13:03,120 Speaker 1: coronavirus came in shortly after that, and we were in quarantine. UM, 209 00:13:03,200 --> 00:13:05,640 Speaker 1: we weren't able to see them. We didn't even know 210 00:13:05,720 --> 00:13:08,200 Speaker 1: his father was sick until a Saturday morning in late 211 00:13:08,240 --> 00:13:11,720 Speaker 1: March when we got a call saying he wasn't feeling 212 00:13:11,720 --> 00:13:15,160 Speaker 1: well and he had a fever, and and then three 213 00:13:15,160 --> 00:13:17,960 Speaker 1: hours later we got a call saying he had died. 214 00:13:18,760 --> 00:13:21,080 Speaker 1: So we had we had no idea he was ill. 215 00:13:21,880 --> 00:13:27,880 Speaker 1: And I remember getting a phone call a week or 216 00:13:27,920 --> 00:13:30,400 Speaker 1: two before he got sick saying that he was going 217 00:13:30,400 --> 00:13:33,640 Speaker 1: to be moved to another floor to allow more to 218 00:13:33,720 --> 00:13:38,800 Speaker 1: allow more UH people in, to allow more people to 219 00:13:38,840 --> 00:13:41,200 Speaker 1: come into the nursing home. And so that was a 220 00:13:41,240 --> 00:13:44,080 Speaker 1: red flag for me, especially when I started to find 221 00:13:44,120 --> 00:13:47,440 Speaker 1: out about the governor's mandate to put infected patients into 222 00:13:47,720 --> 00:13:51,400 Speaker 1: nursing homes. So his dad, we lost his dad first, 223 00:13:51,760 --> 00:13:56,000 Speaker 1: and then my husband had to tell his mom about 224 00:13:56,679 --> 00:13:59,920 Speaker 1: his dad passing away. That was the hardest thing he 225 00:14:00,040 --> 00:14:04,640 Speaker 1: ever had to do. And she got sick and was 226 00:14:04,679 --> 00:14:07,880 Speaker 1: transported to the hospital and she was diagnosed with COVID 227 00:14:09,040 --> 00:14:12,320 Speaker 1: and she died shortly after being transported to the hospital. 228 00:14:13,800 --> 00:14:20,120 Speaker 1: And her number didn't count because the governor didn't count 229 00:14:20,280 --> 00:14:23,360 Speaker 1: those who got COVID in their elder care facilities but 230 00:14:23,440 --> 00:14:26,680 Speaker 1: died in the hospital. So that's what I've been fighting for, 231 00:14:26,800 --> 00:14:30,960 Speaker 1: That's what I have been vocal about, is the two things. 232 00:14:31,360 --> 00:14:34,920 Speaker 1: The COVID positive patients in the nursing homes for forty 233 00:14:34,960 --> 00:14:38,560 Speaker 1: six days because of the governor's executive order and the 234 00:14:38,600 --> 00:14:41,440 Speaker 1: fact that he wasn't counting those that died in the hospital. 235 00:14:42,360 --> 00:14:46,560 Speaker 1: And so the release of the a G report last 236 00:14:46,600 --> 00:14:51,840 Speaker 1: week helped bring some of those answers. So again we 237 00:14:51,920 --> 00:14:56,120 Speaker 1: see a governor who was looking to manipulate a situation 238 00:14:56,160 --> 00:15:00,040 Speaker 1: in his favor. Meanwhile your family and many other of 239 00:15:00,160 --> 00:15:07,160 Speaker 1: families and pretty much suffered the consequences. You know, this 240 00:15:07,280 --> 00:15:10,120 Speaker 1: is this is such a tough interview because it's such 241 00:15:10,160 --> 00:15:12,720 Speaker 1: a serious subject matter, and as one where you have 242 00:15:13,360 --> 00:15:17,480 Speaker 1: an official who's in power, who's decision making and still 243 00:15:17,520 --> 00:15:21,600 Speaker 1: impacting the lives of thousands of people, millions actually in 244 00:15:21,600 --> 00:15:26,000 Speaker 1: the New York State, and it's just troubling that there's 245 00:15:26,040 --> 00:15:30,800 Speaker 1: been no apology, there's been no confession. Um. In fact, 246 00:15:31,040 --> 00:15:33,400 Speaker 1: he's tried to say that he's pretty much been a 247 00:15:33,440 --> 00:15:37,720 Speaker 1: hero in a way. And I'm kind of confused about 248 00:15:37,760 --> 00:15:42,520 Speaker 1: what was the initial reasoning for this executive order as 249 00:15:42,560 --> 00:15:45,600 Speaker 1: you understand it. Do you know what the rationale was 250 00:15:45,760 --> 00:15:48,160 Speaker 1: to send COVID patients was at the idea to prevent 251 00:15:48,480 --> 00:15:52,600 Speaker 1: hospitals from being overcrowded with COVID patients. Uh, what was it? 252 00:15:52,680 --> 00:15:56,680 Speaker 1: Do you know? We don't, um, And that's one of 253 00:15:56,680 --> 00:16:00,160 Speaker 1: the reasons why I think we have to have an investigation. So, 254 00:16:01,200 --> 00:16:04,200 Speaker 1: you know, the excuse is they didn't want to overwhelm 255 00:16:04,280 --> 00:16:06,800 Speaker 1: the hospitals, that they had to put these COVID positive 256 00:16:06,800 --> 00:16:11,080 Speaker 1: patients somewhere, and that they thought the nursing homes would 257 00:16:11,120 --> 00:16:14,280 Speaker 1: have the you know, the proper facilities to do that, 258 00:16:15,360 --> 00:16:17,640 Speaker 1: the proper equipment to do that, and as it turns out, 259 00:16:17,680 --> 00:16:21,720 Speaker 1: they didn't, and they weren't allowed to test the patients 260 00:16:21,760 --> 00:16:24,680 Speaker 1: coming in. They didn't want to discriminate against the patients. 261 00:16:24,720 --> 00:16:29,960 Speaker 1: It actually says in the order you you you don't 262 00:16:30,000 --> 00:16:32,240 Speaker 1: you don't test these people, you know, you have to 263 00:16:32,280 --> 00:16:35,400 Speaker 1: accept them. And the nursing home owner owners and the 264 00:16:35,440 --> 00:16:39,480 Speaker 1: operators that I've spoken with always thought that they could 265 00:16:39,520 --> 00:16:43,520 Speaker 1: not turn them away. Uh. And the governor likes to say, well, 266 00:16:43,520 --> 00:16:46,600 Speaker 1: it was based on it was you know, the federal government, 267 00:16:46,600 --> 00:16:48,560 Speaker 1: it was the CDC and that, and that's pretty much 268 00:16:48,600 --> 00:16:53,560 Speaker 1: been proven wrong. Um. We had the Comfort Ship, we 269 00:16:53,640 --> 00:16:56,480 Speaker 1: had the Jabbt Center, and we had other makeshift hospitals 270 00:16:56,480 --> 00:17:01,520 Speaker 1: that taxpayers spent millions of dollars on to put patients in. 271 00:17:01,840 --> 00:17:05,800 Speaker 1: And my question has always been why weren't they used 272 00:17:06,600 --> 00:17:10,520 Speaker 1: for the overflow of COVID positive patients instead of putting 273 00:17:10,600 --> 00:17:13,840 Speaker 1: them into nursing homes. There was a Wall Street Journal 274 00:17:13,880 --> 00:17:17,840 Speaker 1: report that was issued a couple of months ago that 275 00:17:18,000 --> 00:17:21,640 Speaker 1: said that Cuomo was told by one of his hospital lobbyists, 276 00:17:21,640 --> 00:17:23,600 Speaker 1: who's a good friend of his and who has given 277 00:17:23,640 --> 00:17:26,879 Speaker 1: millions of dollars to his campaign, that he was the 278 00:17:26,920 --> 00:17:29,879 Speaker 1: one who suggested to put the patients into nursing homes. 279 00:17:30,560 --> 00:17:32,440 Speaker 1: So this is, you know, this is bigger than all 280 00:17:32,480 --> 00:17:35,119 Speaker 1: of us. To be honest with you, UM, I really 281 00:17:35,160 --> 00:17:42,040 Speaker 1: think that there is a money trail there's corruption. Um. 282 00:17:42,040 --> 00:17:45,240 Speaker 1: But you know, I'm only one person, and you know 283 00:17:45,359 --> 00:17:47,800 Speaker 1: I can't. I would love to be spend all of 284 00:17:47,840 --> 00:17:51,639 Speaker 1: my time trying to find these answers. Um. But but 285 00:17:51,760 --> 00:17:55,080 Speaker 1: that's you know, that's where I hope this opens up 286 00:17:55,119 --> 00:17:59,920 Speaker 1: doors to further investigations, to find truth and to help 287 00:18:00,520 --> 00:18:03,720 Speaker 1: those families feel like there is closure. We we never 288 00:18:03,800 --> 00:18:06,760 Speaker 1: had a waker a funeral, and we're Catholic, we never 289 00:18:06,800 --> 00:18:10,600 Speaker 1: had last rites. My husband never saw his parents at 290 00:18:10,640 --> 00:18:14,640 Speaker 1: the He was called when his mom was in the hospital. 291 00:18:14,680 --> 00:18:16,840 Speaker 1: She died in the hospital and he was told she 292 00:18:17,119 --> 00:18:19,680 Speaker 1: he could go see her when she had passed away 293 00:18:19,680 --> 00:18:26,520 Speaker 1: in a room in a hospital Channis. It's terrible, I 294 00:18:26,600 --> 00:18:38,720 Speaker 1: know it is. It's terrible. Wow. Oh jeez, you're a 295 00:18:38,720 --> 00:18:42,879 Speaker 1: good man, you know you are. You but I'm so sorry, 296 00:18:42,920 --> 00:18:46,640 Speaker 1: I really am. I'm really so sorry. I know you are. 297 00:18:47,000 --> 00:18:52,119 Speaker 1: And that means everything. I mean, you know, that's all 298 00:18:52,359 --> 00:18:58,720 Speaker 1: we wanted. We just wanted an apology or something. We 299 00:18:58,840 --> 00:19:01,440 Speaker 1: never we never got it, you know, we never got 300 00:19:01,480 --> 00:19:05,080 Speaker 1: it from him. For the administration, you know, they just 301 00:19:05,119 --> 00:19:09,640 Speaker 1: continue to blame others and he still continues to do that. 302 00:19:09,640 --> 00:19:13,080 Speaker 1: That's a powerful point. Janice let's take a quick break 303 00:19:13,119 --> 00:19:19,439 Speaker 1: now and continue the conversation in a moment. And you 304 00:19:19,480 --> 00:19:25,000 Speaker 1: know what's um particularly interesting about this. He wrote this book, 305 00:19:25,280 --> 00:19:29,119 Speaker 1: as you know, last year, American Crisis Leadership Lessons from 306 00:19:29,200 --> 00:19:34,040 Speaker 1: COVID nineteen Pandemic, which really should be a one sentence book, 307 00:19:34,080 --> 00:19:38,600 Speaker 1: which says, don't do what I did, um honestly. And 308 00:19:38,600 --> 00:19:41,240 Speaker 1: he's trying to portray himself like a Linking or Lincoln 309 00:19:41,400 --> 00:19:44,879 Speaker 1: or Churchill. And it's just so upsetting. And I know 310 00:19:44,960 --> 00:19:49,119 Speaker 1: you're very upset by this because there's no accountability. And 311 00:19:49,280 --> 00:19:52,399 Speaker 1: we elect these people, we put them in office with 312 00:19:52,560 --> 00:19:56,840 Speaker 1: the understanding of them leading through in situations like this, 313 00:19:57,160 --> 00:20:00,879 Speaker 1: crises like this one that we've never experienced before. But 314 00:20:00,960 --> 00:20:04,240 Speaker 1: the truth is will always be to take accountability, take 315 00:20:04,280 --> 00:20:07,679 Speaker 1: responsibility for your actions. And clearly he's not done that, 316 00:20:08,600 --> 00:20:13,480 Speaker 1: he's not at all. No. And he actually I wrote 317 00:20:13,480 --> 00:20:16,919 Speaker 1: an op ed a few weeks ago because I wanted 318 00:20:16,920 --> 00:20:21,720 Speaker 1: to write about the tragic rise of this person. You 319 00:20:21,760 --> 00:20:27,320 Speaker 1: know how media enabled him to celebrate himself amidst a crisis. 320 00:20:28,240 --> 00:20:32,520 Speaker 1: And he was speaking at Riverside Church and he said, 321 00:20:33,400 --> 00:20:40,399 Speaker 1: a good leader will accept his mistakes. And you know, 322 00:20:40,960 --> 00:20:44,199 Speaker 1: and and admit them. He actually said that in a 323 00:20:44,280 --> 00:20:47,520 Speaker 1: speech at Riverside Church, and I I thought to myself, 324 00:20:47,640 --> 00:20:53,159 Speaker 1: My god, does this man not you know, take his 325 00:20:53,200 --> 00:20:59,160 Speaker 1: own advice, you know? And he was. But it's it's 326 00:20:59,400 --> 00:21:02,840 Speaker 1: unbelievable to me that he was able to promote and 327 00:21:02,920 --> 00:21:05,080 Speaker 1: sell this book for months. It was on the New 328 00:21:05,160 --> 00:21:08,960 Speaker 1: York Times bestseller list. The Nursing Home issue was about 329 00:21:09,000 --> 00:21:12,200 Speaker 1: two pages of that book. And again he he blamed 330 00:21:12,200 --> 00:21:16,240 Speaker 1: everyone except himself, the person that signed the order. And 331 00:21:17,200 --> 00:21:20,680 Speaker 1: not only that, but he was revered in the media 332 00:21:21,040 --> 00:21:25,359 Speaker 1: and and never asked the questions at all. Ever, never 333 00:21:25,440 --> 00:21:28,800 Speaker 1: asked why he did it, Why didn't he use all 334 00:21:28,840 --> 00:21:31,240 Speaker 1: of the facilities given to the you know, by the 335 00:21:31,280 --> 00:21:34,800 Speaker 1: federal government, why he was why do we didn't have 336 00:21:34,840 --> 00:21:38,240 Speaker 1: the total number of seniors that died um and given 337 00:21:38,280 --> 00:21:41,360 Speaker 1: an Emmy award. I mean, it's almost like we live 338 00:21:41,359 --> 00:21:46,080 Speaker 1: in this bizarre world where, you know, instead of UM 339 00:21:46,240 --> 00:21:52,840 Speaker 1: journalists and people in the business UM asking questions, they 340 00:21:52,840 --> 00:21:56,760 Speaker 1: were celebrating this man while we were while body bags 341 00:21:56,840 --> 00:21:59,760 Speaker 1: were being piled up in storage trucks. What do you 342 00:22:00,000 --> 00:22:04,920 Speaker 1: think of the mainstream media's refusal to hold him accountable? 343 00:22:05,119 --> 00:22:08,800 Speaker 1: Of course, at Fox News channel. You're going on Tucker 344 00:22:08,920 --> 00:22:11,920 Speaker 1: Show and everyone else's show and you're holding them accountable, 345 00:22:11,920 --> 00:22:15,000 Speaker 1: and it's a very powerful spotlight. We we both know that. 346 00:22:15,480 --> 00:22:19,560 Speaker 1: But there's these other publications and media outlets. In fact, 347 00:22:20,240 --> 00:22:24,040 Speaker 1: you um were tweeting recently at NBC News and less 348 00:22:24,080 --> 00:22:26,560 Speaker 1: to hold in the Today's Show because they censor it. 349 00:22:26,600 --> 00:22:29,760 Speaker 1: One of your sensor, one of your friends who lost 350 00:22:29,760 --> 00:22:33,000 Speaker 1: a loved one in the nursing home. And as you write, 351 00:22:33,040 --> 00:22:36,600 Speaker 1: she wanted to say Andrew Como failed us in an interview, 352 00:22:36,640 --> 00:22:39,760 Speaker 1: and they told her to say New York failed us instead. 353 00:22:40,840 --> 00:22:45,320 Speaker 1: So they're still protecting him. They're still protecting him. It's 354 00:22:45,920 --> 00:22:48,880 Speaker 1: it's unbelievable. And let me just say, I'm so grateful 355 00:22:48,920 --> 00:22:52,400 Speaker 1: for Fox. I'm grateful for the New York Post. I 356 00:22:52,440 --> 00:22:56,280 Speaker 1: am grateful for some of the local journalists that really 357 00:22:56,280 --> 00:23:00,080 Speaker 1: are still doing the work of what a journal is 358 00:23:00,160 --> 00:23:02,760 Speaker 1: should do, and that is digging for answers. You know, 359 00:23:03,080 --> 00:23:07,440 Speaker 1: he only takes certain questions at his press conference from 360 00:23:07,440 --> 00:23:13,720 Speaker 1: from reporters he knows will throw him, you know, softballs. UM, 361 00:23:13,880 --> 00:23:17,480 Speaker 1: So he has been protected. Every you know, major network 362 00:23:17,520 --> 00:23:20,880 Speaker 1: that he's ever gone on, has never really asked him 363 00:23:20,880 --> 00:23:23,160 Speaker 1: the question about the nursing homes and if they do, 364 00:23:23,320 --> 00:23:26,000 Speaker 1: they let him get away with the blame game and 365 00:23:26,040 --> 00:23:30,840 Speaker 1: never following up. And to your point, my beautiful friend 366 00:23:30,840 --> 00:23:34,240 Speaker 1: who lost her mom in a nursing home, and I've 367 00:23:34,280 --> 00:23:39,240 Speaker 1: met so many wonderful families. I you know, that's one beautiful, 368 00:23:40,000 --> 00:23:44,200 Speaker 1: um thing out of this moment of tragedy, as I've 369 00:23:44,240 --> 00:23:47,320 Speaker 1: met so many wonderful new friends that have gone through 370 00:23:47,359 --> 00:23:51,800 Speaker 1: the same thing. And NBC called her up because they 371 00:23:51,840 --> 00:23:53,720 Speaker 1: were going to do a report on the a G 372 00:23:53,920 --> 00:23:58,879 Speaker 1: Report on Thursday, and she's been interviewed a few times. 373 00:23:58,920 --> 00:24:03,040 Speaker 1: She is very pub look about her story. And she 374 00:24:03,200 --> 00:24:06,080 Speaker 1: told me that they sat down with her for a 375 00:24:06,119 --> 00:24:08,919 Speaker 1: twenty minute zoom interview. It was a producer, so it 376 00:24:08,960 --> 00:24:13,040 Speaker 1: wasn't Lester Holt himself. Um, it was a producer. And 377 00:24:13,119 --> 00:24:17,440 Speaker 1: she's very vocal about Cuomo. She will start every sentence 378 00:24:17,440 --> 00:24:21,240 Speaker 1: with Andrew Cuomo. Andrew Cuomo issued this order, I blame 379 00:24:21,320 --> 00:24:25,560 Speaker 1: Andrew Cuomo for my mother's death. She's very She's always 380 00:24:25,560 --> 00:24:28,199 Speaker 1: been that way the rallies that I've been to, you know, 381 00:24:28,280 --> 00:24:31,280 Speaker 1: she has the sign that says, I blame Andrew Cuomo 382 00:24:31,359 --> 00:24:34,920 Speaker 1: for my mother's death. And so she kept saying that, 383 00:24:35,000 --> 00:24:39,200 Speaker 1: you know, Cuomo failed us. You know, I'm so grateful 384 00:24:39,240 --> 00:24:42,399 Speaker 1: for the for this report, but I blame my mother's 385 00:24:42,440 --> 00:24:47,159 Speaker 1: death on Cuomo. And the producer said to her, I 386 00:24:47,240 --> 00:24:50,800 Speaker 1: want you to stop saying Andrew Cuomo and I would 387 00:24:50,840 --> 00:24:54,040 Speaker 1: I would like you to instead say new York State 388 00:24:54,160 --> 00:24:58,679 Speaker 1: failed me, new York State failed my family. And she 389 00:24:59,320 --> 00:25:04,080 Speaker 1: the report aired and there was no Andrew Cuomo in 390 00:25:04,119 --> 00:25:07,280 Speaker 1: there at all. They took that out and the next 391 00:25:07,320 --> 00:25:10,640 Speaker 1: day she went on Facebook and she just said they 392 00:25:10,680 --> 00:25:17,000 Speaker 1: censored me. They're still protecting him, and so yeah, and 393 00:25:17,080 --> 00:25:20,119 Speaker 1: so you know what, I'm done. I'm done with um 394 00:25:20,280 --> 00:25:24,600 Speaker 1: being mr nice guy. You know if if, if you're 395 00:25:24,640 --> 00:25:29,520 Speaker 1: still protecting this man, Um, I'm going to call you out. Yes, 396 00:25:29,640 --> 00:25:35,399 Speaker 1: as you should. And interestingly enough, the nursing home debacco 397 00:25:35,440 --> 00:25:39,120 Speaker 1: wasn't his only failure. He also completely screwed up New 398 00:25:39,200 --> 00:25:42,919 Speaker 1: York's distribution of the COVID vaccines. There has been several 399 00:25:42,920 --> 00:25:46,760 Speaker 1: reports on the vaccines needing to be thrown saying that 400 00:25:46,760 --> 00:25:49,200 Speaker 1: the vaccines needed to be thrown out after basically going 401 00:25:49,280 --> 00:25:52,000 Speaker 1: bad because the state couldn't settle on who should get 402 00:25:52,000 --> 00:25:56,840 Speaker 1: the vaccine first. It was a disaster. Basically, what are 403 00:25:56,840 --> 00:26:00,840 Speaker 1: your thoughts on his failure with the vACC seen rollout? 404 00:26:01,080 --> 00:26:05,840 Speaker 1: Another failure? Yeah, And I said the other day that 405 00:26:06,359 --> 00:26:10,720 Speaker 1: if the nursing home issue doesn't get him, then hopefully 406 00:26:10,800 --> 00:26:15,040 Speaker 1: the fact that he is still endangering lives with not 407 00:26:15,119 --> 00:26:20,879 Speaker 1: being able to put the vaccine in people's arms, maybe 408 00:26:20,960 --> 00:26:24,520 Speaker 1: that will make people pay attention to this governor and 409 00:26:24,600 --> 00:26:28,920 Speaker 1: his failed leadership. They have had in place for many 410 00:26:29,040 --> 00:26:34,520 Speaker 1: years a plan for a vaccine rollout in this type 411 00:26:34,520 --> 00:26:38,320 Speaker 1: of situation where the counties take it over. Every county 412 00:26:38,359 --> 00:26:41,920 Speaker 1: has a plan and they have they have practiced this plan, 413 00:26:42,040 --> 00:26:46,119 Speaker 1: and it has been in place, UM. But he decided 414 00:26:46,680 --> 00:26:51,359 Speaker 1: two throw that those plans out the window and again 415 00:26:51,480 --> 00:26:54,399 Speaker 1: decide that it was going to be the private hospitals 416 00:26:54,440 --> 00:26:58,080 Speaker 1: that were in charge of administering the vaccine. And so 417 00:26:58,119 --> 00:27:01,040 Speaker 1: what does that tell you that he tells you there's 418 00:27:01,119 --> 00:27:03,720 Speaker 1: deals going on, or at least in my mind that 419 00:27:03,800 --> 00:27:07,359 Speaker 1: if he's asking the hospitals to do this instead of 420 00:27:07,440 --> 00:27:10,320 Speaker 1: the plan that was put in place for many years, 421 00:27:10,720 --> 00:27:14,399 Speaker 1: then there's some something going on. UM. And the fact 422 00:27:14,480 --> 00:27:22,160 Speaker 1: that the online appointments that you had to make were 423 00:27:22,359 --> 00:27:26,119 Speaker 1: like pulling teeth. I talked to so many people who 424 00:27:26,160 --> 00:27:28,600 Speaker 1: were trying to make appointments online for their parents and 425 00:27:28,640 --> 00:27:32,679 Speaker 1: their grandparents, and it was like you had to go 426 00:27:32,760 --> 00:27:36,760 Speaker 1: through dozens of pages to get to the very end 427 00:27:36,800 --> 00:27:39,280 Speaker 1: to try to get to a place to get the vaccine. 428 00:27:40,040 --> 00:27:44,080 Speaker 1: And to this day, their appointments are being canceled or 429 00:27:44,119 --> 00:27:47,440 Speaker 1: they're getting to the appointment and and they're there, they 430 00:27:47,440 --> 00:27:51,000 Speaker 1: don't have a place anymore. So I feel like this 431 00:27:51,080 --> 00:27:57,280 Speaker 1: is just another example of this megalomaniac who just can't 432 00:27:57,359 --> 00:28:01,520 Speaker 1: let other people lead. It's got to be him. And 433 00:28:01,680 --> 00:28:04,600 Speaker 1: the last I checked, we are supposed to be living 434 00:28:04,600 --> 00:28:09,520 Speaker 1: in a democracy, not a kingdom. You know what he's 435 00:28:09,560 --> 00:28:15,679 Speaker 1: putting lives in danger again. Um and uh, you know, 436 00:28:16,640 --> 00:28:20,640 Speaker 1: I just at some point someone's got to take over 437 00:28:21,040 --> 00:28:23,480 Speaker 1: and take this guy to task. How do you think 438 00:28:23,520 --> 00:28:26,479 Speaker 1: history review him in ten fifty years do you think 439 00:28:26,520 --> 00:28:29,600 Speaker 1: the botch COVID response will be his chief legacy? I 440 00:28:29,720 --> 00:28:32,720 Speaker 1: do you know? If you had asked me a week 441 00:28:32,760 --> 00:28:36,080 Speaker 1: ago before this a g report, you would have been 442 00:28:37,200 --> 00:28:39,400 Speaker 1: I would have said, I just think I think he's 443 00:28:39,400 --> 00:28:41,880 Speaker 1: going to get away with it. I think he's going 444 00:28:41,920 --> 00:28:44,360 Speaker 1: to get away with it because he has too much 445 00:28:44,960 --> 00:28:49,240 Speaker 1: protecting him and he bullies people. I mean, his administration 446 00:28:50,280 --> 00:28:55,000 Speaker 1: has attacked me, has attacked my sister in law, my family, 447 00:28:55,560 --> 00:29:01,240 Speaker 1: the other families, his UM, his people that he surrounds 448 00:29:01,320 --> 00:29:06,720 Speaker 1: himself with, are online on Twitter attacking all of us 449 00:29:06,760 --> 00:29:14,320 Speaker 1: instead of helping get vaccines into people's arms. You know, Uh, 450 00:29:14,720 --> 00:29:19,160 Speaker 1: it's it's really incredible. I've I've heard many stories about 451 00:29:19,480 --> 00:29:22,520 Speaker 1: reporters who get calls at midnight from one of his 452 00:29:23,680 --> 00:29:29,360 Speaker 1: UM spokespeople yelling at them saying, how dare you put 453 00:29:29,360 --> 00:29:33,080 Speaker 1: that tweet up? Take it down immediately? So he's revered 454 00:29:33,120 --> 00:29:37,440 Speaker 1: and he's feared in this town in the state. But 455 00:29:37,480 --> 00:29:39,960 Speaker 1: I've always said, I've I've got the angels on my 456 00:29:40,040 --> 00:29:44,400 Speaker 1: side Channel, I've got the angels on my side absolutely, 457 00:29:44,440 --> 00:29:48,239 Speaker 1: and I know that UM. When a reporter asked UM 458 00:29:48,640 --> 00:29:52,920 Speaker 1: someone from his administration about you specifically, uh, they were 459 00:29:53,000 --> 00:29:56,600 Speaker 1: very dismissive of you. Have you heard from the administration 460 00:29:57,480 --> 00:30:00,880 Speaker 1: directly at all? Well, the times that I have written 461 00:30:01,080 --> 00:30:05,520 Speaker 1: about the governor, they do ask his office for comment, 462 00:30:06,680 --> 00:30:10,240 Speaker 1: and several times they've come back with instead of We're 463 00:30:10,280 --> 00:30:12,760 Speaker 1: sorry for your loss, is there anything we can do, 464 00:30:13,840 --> 00:30:18,200 Speaker 1: they've said, give us the names, or give us the 465 00:30:18,320 --> 00:30:22,800 Speaker 1: nursing homes where your husband's husband's parents parents died and 466 00:30:22,840 --> 00:30:27,960 Speaker 1: the exact dates, and it was like, prove it, prove 467 00:30:28,040 --> 00:30:33,560 Speaker 1: your husband's parents died. Ye. Twice they did that. And 468 00:30:33,600 --> 00:30:37,720 Speaker 1: then there was the time where his office said she's 469 00:30:37,760 --> 00:30:44,160 Speaker 1: not a reliable, credible source except for maybe doing the weather. Yeah. Um. 470 00:30:44,240 --> 00:30:46,840 Speaker 1: And then they came after my sister in law who 471 00:30:46,840 --> 00:30:50,040 Speaker 1: has been very vocal on social media like I have, 472 00:30:50,840 --> 00:30:55,040 Speaker 1: and Rich as a party, who is his main spokesperson, 473 00:30:55,840 --> 00:30:58,680 Speaker 1: told her to get a life. He's called these families 474 00:30:58,680 --> 00:31:01,440 Speaker 1: that have had lot that have lost loved ones a 475 00:31:01,600 --> 00:31:06,520 Speaker 1: death cult. You know why where they're talking about recalling 476 00:31:06,600 --> 00:31:09,440 Speaker 1: Gavin Newsom in California, and I think they should. They 477 00:31:09,440 --> 00:31:15,440 Speaker 1: should recall this governor because his decisions are really cost 478 00:31:15,480 --> 00:31:18,800 Speaker 1: in lives and has cost so many, way too many. Now, 479 00:31:18,800 --> 00:31:21,160 Speaker 1: there have been reports that Republicans in New York and 480 00:31:21,360 --> 00:31:23,760 Speaker 1: across the country are calling on you to run for governor. 481 00:31:24,280 --> 00:31:26,000 Speaker 1: I want to ask you about that after we take 482 00:31:26,040 --> 00:31:31,720 Speaker 1: a quick break. Now, you have been all over the 483 00:31:31,720 --> 00:31:34,680 Speaker 1: place all of the media talking about your experiences. You've 484 00:31:34,720 --> 00:31:39,840 Speaker 1: called for investigations, and there's been recent reports from a 485 00:31:39,960 --> 00:31:43,840 Speaker 1: growing number of Republicans across the country and in New York. 486 00:31:43,880 --> 00:31:46,360 Speaker 1: And I'm one of those Republicans who who's made this 487 00:31:46,360 --> 00:31:49,960 Speaker 1: this statement to talking about you running for governor and 488 00:31:50,160 --> 00:31:54,000 Speaker 1: challenging Como should he seek a fourth term in two 489 00:31:54,960 --> 00:31:57,080 Speaker 1: What can you tell us any big news to break 490 00:31:57,080 --> 00:31:59,400 Speaker 1: here on Allow with Gianno Calldwell, this is the place 491 00:31:59,440 --> 00:32:06,080 Speaker 1: to do it, you know. Ah, Never in a million 492 00:32:06,200 --> 00:32:10,440 Speaker 1: years would I have thought that at some point in 493 00:32:10,520 --> 00:32:15,360 Speaker 1: my life someone would suggest me for a political office. 494 00:32:16,200 --> 00:32:21,719 Speaker 1: It's it's crazy. Um, I'm flattered, and that's very kind. 495 00:32:22,240 --> 00:32:28,280 Speaker 1: And I do believe that someone should get into politics 496 00:32:28,520 --> 00:32:32,640 Speaker 1: if they really want to make a change and they 497 00:32:32,680 --> 00:32:35,600 Speaker 1: don't want to do it for the reasons of you know, 498 00:32:35,880 --> 00:32:40,040 Speaker 1: being in power or career politicians like Cuomo. I mean 499 00:32:40,400 --> 00:32:45,880 Speaker 1: his his father was governor for many years and almost 500 00:32:45,920 --> 00:32:48,640 Speaker 1: tried to run to be a president. And I believe 501 00:32:48,680 --> 00:32:54,840 Speaker 1: this governor, this current governor, wants to be president someday. Um. 502 00:32:54,880 --> 00:32:57,680 Speaker 1: I don't think I have the fortitude to do it. 503 00:32:57,880 --> 00:33:01,680 Speaker 1: I really UM. I love my job so much at 504 00:33:01,680 --> 00:33:06,680 Speaker 1: Fox and I've been there for seventeen years and they 505 00:33:06,680 --> 00:33:09,120 Speaker 1: are like a family to me. People don't realize that, 506 00:33:09,200 --> 00:33:13,000 Speaker 1: you know that, I know that they this is something 507 00:33:13,000 --> 00:33:15,719 Speaker 1: they've never had to deal with a person that works 508 00:33:15,880 --> 00:33:19,640 Speaker 1: at the company who has had a tragedy happen and 509 00:33:19,760 --> 00:33:23,680 Speaker 1: all of a sudden have become an accidental advocate. They 510 00:33:23,680 --> 00:33:29,120 Speaker 1: have been unbelievably supportive of me and my family and 511 00:33:29,240 --> 00:33:32,160 Speaker 1: what I am trying to do. And you know, there 512 00:33:32,200 --> 00:33:34,800 Speaker 1: have been reporters that have gone to our media relations 513 00:33:34,880 --> 00:33:38,600 Speaker 1: people and said, well, you know, I see Janisteine at 514 00:33:38,600 --> 00:33:42,120 Speaker 1: these rallies with a microphone, like, you know, what's all? 515 00:33:42,320 --> 00:33:44,280 Speaker 1: What's that about? Isn't she just supposed to be the 516 00:33:44,320 --> 00:33:48,760 Speaker 1: meteorologist And they have backed me up. And I'm so 517 00:33:48,840 --> 00:33:55,560 Speaker 1: grateful for that. Um, I just again, it's very it's 518 00:33:55,560 --> 00:33:59,720 Speaker 1: it's so lovely that people would say that, And and 519 00:34:00,800 --> 00:34:03,680 Speaker 1: I think it's important that people who do run for 520 00:34:03,760 --> 00:34:07,600 Speaker 1: office have challenges in their life or something that happens 521 00:34:07,640 --> 00:34:10,880 Speaker 1: that make them really want to make an inspire change. 522 00:34:12,920 --> 00:34:15,960 Speaker 1: So I'll never say never, but I will say I 523 00:34:16,040 --> 00:34:19,759 Speaker 1: do so love my job at Fox. It would be 524 00:34:19,920 --> 00:34:22,680 Speaker 1: very difficult to give that up. Yeah, that sounds like 525 00:34:22,760 --> 00:34:28,880 Speaker 1: the response of a person who's really considering. I'm listening 526 00:34:28,920 --> 00:34:33,319 Speaker 1: to everything is almost similar to what I had Lord 527 00:34:33,320 --> 00:34:35,719 Speaker 1: Trump on the podcast she told me something like that. 528 00:34:35,800 --> 00:34:39,640 Speaker 1: I'm like, okay, yeah, all right. Dean Kane just the 529 00:34:39,640 --> 00:34:42,080 Speaker 1: other day was on the podcast and he's considering running 530 00:34:42,080 --> 00:34:47,880 Speaker 1: for the Dean is great. He's amazing. Yeah, he's awesome, 531 00:34:47,920 --> 00:34:51,800 Speaker 1: Like just a genuine person, very authentic, and we appreciate that. 532 00:34:51,880 --> 00:34:55,200 Speaker 1: And you obviously are as well. Now, I know you 533 00:34:55,280 --> 00:34:58,840 Speaker 1: love your job and you do a tremendous job at it. 534 00:34:58,880 --> 00:35:00,919 Speaker 1: You also do a trem at this job at being 535 00:35:00,960 --> 00:35:04,880 Speaker 1: an advocate for people who cannot speak up for themselves. 536 00:35:04,920 --> 00:35:08,360 Speaker 1: They don't have a platform, and you've done it tremendously well. 537 00:35:08,600 --> 00:35:12,360 Speaker 1: And you've put exposure on this issue that may have 538 00:35:12,480 --> 00:35:16,000 Speaker 1: never even received it. Because of you, it is resonated 539 00:35:16,040 --> 00:35:19,239 Speaker 1: with people's hearts beyond New York State, in d C. 540 00:35:19,600 --> 00:35:23,120 Speaker 1: And all over the country, even the world. What better 541 00:35:23,239 --> 00:35:28,000 Speaker 1: person to run for office? There's somebody who's legitimately doing 542 00:35:28,040 --> 00:35:31,200 Speaker 1: it for the right reason for the people, and you 543 00:35:31,680 --> 00:35:35,160 Speaker 1: have been doing it for the people. So what what 544 00:35:35,200 --> 00:35:37,399 Speaker 1: would the main factors be that would go into your 545 00:35:37,440 --> 00:35:41,880 Speaker 1: decision about possibly doing it? That I have no clue 546 00:35:41,920 --> 00:35:47,960 Speaker 1: how to do something. I mean, I wouldn't know the 547 00:35:48,040 --> 00:35:51,200 Speaker 1: first step at all, and I would have to check 548 00:35:51,360 --> 00:35:54,000 Speaker 1: obviously with my family. I know my husband would support 549 00:35:54,040 --> 00:35:57,440 Speaker 1: me whatever decision I made, um, and you know what 550 00:35:57,480 --> 00:36:00,480 Speaker 1: my kids would think. So I haven't even gone down 551 00:36:00,520 --> 00:36:04,840 Speaker 1: that road, my friend, even thinking about it, you know, UM, 552 00:36:04,880 --> 00:36:08,480 Speaker 1: I would hope that somebody that who would take this 553 00:36:08,600 --> 00:36:11,319 Speaker 1: governor on. And to be quite honest with you, I 554 00:36:11,360 --> 00:36:13,680 Speaker 1: don't know if he's going to be able to run 555 00:36:13,760 --> 00:36:17,480 Speaker 1: for a fourth term after this. I I you know, 556 00:36:17,719 --> 00:36:21,680 Speaker 1: I feel like he might not be able to do it, 557 00:36:22,320 --> 00:36:28,279 Speaker 1: and so how about I let you know, Okay, you'll 558 00:36:28,360 --> 00:36:30,799 Speaker 1: let me know. It sounds as though maybe if he 559 00:36:30,840 --> 00:36:33,600 Speaker 1: doesn't run, maybe you you may not do it. Maybe 560 00:36:33,640 --> 00:36:35,960 Speaker 1: if he runs, I'm not I'm not sure. But in 561 00:36:36,040 --> 00:36:40,440 Speaker 1: any event, what would your political philosophy be and what 562 00:36:40,520 --> 00:36:43,480 Speaker 1: issues are most important to you? Even if I were 563 00:36:43,480 --> 00:36:46,960 Speaker 1: never to go into politics, I think one thing that 564 00:36:47,160 --> 00:36:51,760 Speaker 1: I would like to do in my career is help 565 00:36:52,800 --> 00:36:58,160 Speaker 1: the elderly, is help the nursing homes. Because the one 566 00:36:58,200 --> 00:37:01,000 Speaker 1: thing that this whole event has done is shawn a 567 00:37:01,160 --> 00:37:05,120 Speaker 1: light on the fact that we need a change in 568 00:37:05,480 --> 00:37:10,120 Speaker 1: the way these nursing homes are run. Um, there's a 569 00:37:10,160 --> 00:37:12,840 Speaker 1: lot of shady business that apparently, you know from what 570 00:37:12,920 --> 00:37:18,040 Speaker 1: I've seen that goes on, UM, and that needs to 571 00:37:18,080 --> 00:37:21,239 Speaker 1: be fixed. We need to do this so that you know, 572 00:37:22,320 --> 00:37:26,960 Speaker 1: our relatives are family members, are taken care of to 573 00:37:27,080 --> 00:37:32,680 Speaker 1: the best of our ability. You know, UM Sean's parents 574 00:37:32,680 --> 00:37:35,360 Speaker 1: were not doing well and I would have loved to 575 00:37:35,440 --> 00:37:38,640 Speaker 1: have been able to physically put them in our homes 576 00:37:38,680 --> 00:37:41,560 Speaker 1: and have aids in our homes. It wasn't possible. And 577 00:37:41,600 --> 00:37:45,480 Speaker 1: for those people who aren't able to that, maybe there 578 00:37:45,640 --> 00:37:48,720 Speaker 1: is a way to do that. Maybe we can find 579 00:37:48,960 --> 00:37:52,239 Speaker 1: funding so that we can build onto our homes to 580 00:37:52,320 --> 00:37:55,719 Speaker 1: have our loved ones you know, live with us and 581 00:37:55,800 --> 00:37:58,839 Speaker 1: have the ability to have people take care of them 582 00:37:58,840 --> 00:38:01,960 Speaker 1: in our own homes. Why can't we do that instead of, 583 00:38:02,520 --> 00:38:05,520 Speaker 1: you know, putting all of our faith into these nursing 584 00:38:05,560 --> 00:38:09,239 Speaker 1: homes that may not be doing it for the right reasons, 585 00:38:09,760 --> 00:38:14,880 Speaker 1: to take care of our beautiful relatives, you know. So, UM, 586 00:38:14,920 --> 00:38:19,440 Speaker 1: I do see my at some point being an advocate 587 00:38:20,080 --> 00:38:26,800 Speaker 1: for the elderly and people our greatest generation that deserve more, 588 00:38:27,280 --> 00:38:31,920 Speaker 1: that deserve to live in dignity, UH and and not 589 00:38:32,120 --> 00:38:37,719 Speaker 1: have something like a pandemic and bad decisions by bad leaders. 590 00:38:38,719 --> 00:38:42,560 Speaker 1: UM decide their faith absolutely and before I shift gears 591 00:38:42,600 --> 00:38:44,359 Speaker 1: because I want to talk to talk about your book. 592 00:38:44,440 --> 00:38:48,200 Speaker 1: One last question, if you were to run, would it 593 00:38:48,239 --> 00:38:51,520 Speaker 1: be as a democratic, republican independent? It's hard to tell 594 00:38:51,560 --> 00:38:54,320 Speaker 1: with you. Unlike a lot of our colleagues at Fox, 595 00:38:54,360 --> 00:38:57,799 Speaker 1: I know you you have a very high role, let's see, 596 00:38:57,840 --> 00:39:01,759 Speaker 1: as a senior meteorologist, and you when you talk about things, 597 00:39:01,800 --> 00:39:05,840 Speaker 1: even on Twitter, you don't really have a political event 598 00:39:06,080 --> 00:39:09,080 Speaker 1: of any kind. It doesn't seem like it's hard to 599 00:39:09,160 --> 00:39:12,480 Speaker 1: detect what you may be on one insure or another. 600 00:39:12,920 --> 00:39:15,239 Speaker 1: So I'm not sure if you're maybe more of a 601 00:39:15,280 --> 00:39:19,600 Speaker 1: republican independent, Democrat or what would you care to tell 602 00:39:19,680 --> 00:39:22,200 Speaker 1: us or is that a conversation for another day. I 603 00:39:22,239 --> 00:39:24,520 Speaker 1: think it might be a conversation for another day because 604 00:39:24,560 --> 00:39:28,240 Speaker 1: I do love the fact that they that people don't 605 00:39:28,280 --> 00:39:31,600 Speaker 1: know what my you know, my politics are. I always 606 00:39:31,640 --> 00:39:34,680 Speaker 1: said that the only red and blue that I see 607 00:39:34,719 --> 00:39:37,520 Speaker 1: on my map are areas of high pressure and low pressure. 608 00:39:41,080 --> 00:39:46,239 Speaker 1: I love it. I love it absolutely. Uh talking about 609 00:39:46,280 --> 00:39:49,120 Speaker 1: your best selling book, Mostly Sunny, How I Learned to 610 00:39:49,200 --> 00:39:52,759 Speaker 1: Keep Smiling through the rainiest days. For those who may 611 00:39:52,800 --> 00:39:55,960 Speaker 1: not know, could you tell us a bit about the book? 612 00:39:56,640 --> 00:40:00,000 Speaker 1: I think your message is so important especially where were 613 00:40:00,000 --> 00:40:01,719 Speaker 1: are as a country right now, a lot of people 614 00:40:01,719 --> 00:40:07,439 Speaker 1: are struggling. I wrote that book, UM because I we've 615 00:40:07,440 --> 00:40:10,279 Speaker 1: all been through challenges, right I think. I think if 616 00:40:10,280 --> 00:40:13,560 Speaker 1: you look at another human being and realize that you 617 00:40:13,680 --> 00:40:16,759 Speaker 1: have never walked in their shoes, you don't know what 618 00:40:17,480 --> 00:40:21,480 Speaker 1: happened to them, you know, throughout their lives to make 619 00:40:21,480 --> 00:40:25,520 Speaker 1: them the person that they are today. And so we 620 00:40:25,560 --> 00:40:29,839 Speaker 1: shouldn't judge. We should try not to. And I've been 621 00:40:29,880 --> 00:40:33,560 Speaker 1: through many things in my life that I've realized have 622 00:40:33,680 --> 00:40:37,840 Speaker 1: been hard times, but they've also given me strength I 623 00:40:37,880 --> 00:40:41,279 Speaker 1: never knew I had. UM. Sometimes they've put me on 624 00:40:41,320 --> 00:40:44,520 Speaker 1: a different path altogether to where I am right now, 625 00:40:44,600 --> 00:40:49,719 Speaker 1: which is my greatest role as a mom, as a wife, UM, 626 00:40:49,760 --> 00:40:54,520 Speaker 1: as a human being. And you know, and our audience, 627 00:40:54,680 --> 00:40:56,880 Speaker 1: most of the audience knows that I was diagnosed with 628 00:40:56,960 --> 00:41:00,719 Speaker 1: multiple sclerosis over fifteen years ago, and that was really 629 00:41:00,719 --> 00:41:03,680 Speaker 1: one of the darkest times in my life where I 630 00:41:03,800 --> 00:41:06,759 Speaker 1: really thought my life was over. I thought that, you know, 631 00:41:06,920 --> 00:41:08,960 Speaker 1: all of these things that I had done in my 632 00:41:09,080 --> 00:41:12,680 Speaker 1: life and my career were probably going to end because 633 00:41:12,719 --> 00:41:14,640 Speaker 1: I was going to spend the rest of my life, 634 00:41:14,880 --> 00:41:20,359 Speaker 1: likely in a wheelchair. UM. And so I looked at 635 00:41:20,880 --> 00:41:24,319 Speaker 1: during that time for books or people who could who 636 00:41:24,320 --> 00:41:28,520 Speaker 1: had been diagnosed as well with MS but were thriving 637 00:41:28,719 --> 00:41:33,080 Speaker 1: instead of, you know, going down this this path of 638 00:41:33,080 --> 00:41:36,759 Speaker 1: of uh, what was me type of thing, and you know, 639 00:41:36,960 --> 00:41:40,759 Speaker 1: just sort of took the information and forged ahead. And 640 00:41:40,840 --> 00:41:44,560 Speaker 1: I was able to find somebody who works with us, 641 00:41:44,640 --> 00:41:47,799 Speaker 1: Neil Cavuto, who was very vocal about his diagnosis with 642 00:41:48,000 --> 00:41:51,120 Speaker 1: gnosis with MS. I went into his office and I 643 00:41:51,160 --> 00:41:54,480 Speaker 1: spent probably an hour with him, and he turned the 644 00:41:54,520 --> 00:41:58,040 Speaker 1: television off and sat next to me and handed me 645 00:41:58,120 --> 00:42:00,319 Speaker 1: clean x as while I told him that, you know, 646 00:42:00,680 --> 00:42:04,280 Speaker 1: what happens to my career, what happens to my um? 647 00:42:04,320 --> 00:42:06,480 Speaker 1: You know, will I ever get married or have children? 648 00:42:06,480 --> 00:42:09,560 Speaker 1: Who's gonna want me, Who's gonna you know who? I'm 649 00:42:09,600 --> 00:42:12,440 Speaker 1: gonna be damaged goods? And he just sat there and 650 00:42:12,440 --> 00:42:15,000 Speaker 1: he listened to me, and afterwards said, you are going 651 00:42:15,040 --> 00:42:19,040 Speaker 1: to be okay. You work for a great company that 652 00:42:19,160 --> 00:42:24,200 Speaker 1: will build ramps for wheelchairs if we need them, and 653 00:42:24,760 --> 00:42:27,640 Speaker 1: you will get through this. And that was sort of 654 00:42:27,680 --> 00:42:31,040 Speaker 1: a light in my life. I will never forget him 655 00:42:31,080 --> 00:42:35,160 Speaker 1: for that. I adore that man um. But when I 656 00:42:35,200 --> 00:42:37,320 Speaker 1: wrote the book, I had that in mind. I wrote 657 00:42:37,320 --> 00:42:39,800 Speaker 1: a book so that people who were faced with challenges 658 00:42:39,840 --> 00:42:43,799 Speaker 1: and not just illness, but maybe you know, a death 659 00:42:43,800 --> 00:42:46,440 Speaker 1: in the family or some kind of issue in their life, 660 00:42:46,800 --> 00:42:49,719 Speaker 1: that where things are dark. I wanted to let them 661 00:42:49,800 --> 00:42:53,719 Speaker 1: know that things can be dark, but through those challenges 662 00:42:54,000 --> 00:42:58,040 Speaker 1: sometimes come beautiful destinations. And look at all of the 663 00:42:58,120 --> 00:43:01,200 Speaker 1: wonderful things that I have done in a published after 664 00:43:01,239 --> 00:43:05,240 Speaker 1: that dark period and after hearing just a good person 665 00:43:05,400 --> 00:43:08,680 Speaker 1: giving giving hope. So that was what that book was 666 00:43:08,719 --> 00:43:12,600 Speaker 1: all about. And Neil, for people who don't know, Neil Cavuto, 667 00:43:13,239 --> 00:43:15,719 Speaker 1: is a big part of the reason why I have 668 00:43:15,800 --> 00:43:19,640 Speaker 1: a contract with Fox News. And I'm sure you didn't 669 00:43:19,640 --> 00:43:24,200 Speaker 1: know that, UM, But Neil, I said in his office too, 670 00:43:24,239 --> 00:43:26,080 Speaker 1: and he was asking me a lot of questions and 671 00:43:26,120 --> 00:43:30,000 Speaker 1: he just thought that, UM, I had a big, bright future. 672 00:43:30,040 --> 00:43:31,719 Speaker 1: And he even told me, I think you have a 673 00:43:31,840 --> 00:43:34,960 Speaker 1: very bright future in television and that's beyond Fox News, 674 00:43:35,040 --> 00:43:38,520 Speaker 1: he told me. And I never forget how he to 675 00:43:38,680 --> 00:43:42,359 Speaker 1: me is a big brother and a mentor. UM. So 676 00:43:42,480 --> 00:43:46,040 Speaker 1: I'm thankful for for him as well. UM. You know, 677 00:43:46,120 --> 00:43:50,280 Speaker 1: we may not always agree, but who does certainly on everything. 678 00:43:50,320 --> 00:43:53,320 Speaker 1: But I really love him I do, and I'm glad 679 00:43:53,360 --> 00:43:56,640 Speaker 1: that here that he's made such a positive impact on 680 00:43:56,719 --> 00:44:00,560 Speaker 1: your life as well. Absolutely, he's one of the good guys. 681 00:44:00,680 --> 00:44:04,360 Speaker 1: He really is. He cares, He's a He is a caring, 682 00:44:04,440 --> 00:44:08,560 Speaker 1: wonderful human being that wants to help others. And sometimes 683 00:44:08,600 --> 00:44:11,319 Speaker 1: that's what we need. Sometimes we just need to sit 684 00:44:11,360 --> 00:44:13,480 Speaker 1: down and talk to somebody who can give us a 685 00:44:13,520 --> 00:44:18,799 Speaker 1: perspective and give us good advice. Um, without judgment. That 686 00:44:18,840 --> 00:44:21,280 Speaker 1: can change your day, and that can change your life, 687 00:44:21,560 --> 00:44:25,520 Speaker 1: you know, absolutely, I love I love how you said that. Now, 688 00:44:25,640 --> 00:44:30,280 Speaker 1: one last question for all of my listeners trucking through 689 00:44:30,320 --> 00:44:33,000 Speaker 1: the code right now, how bad is the rest of 690 00:44:33,000 --> 00:44:37,799 Speaker 1: the winner going to be for them? Oh? I love it. 691 00:44:38,560 --> 00:44:41,880 Speaker 1: That's a good question, my friend. And I always say 692 00:44:41,920 --> 00:44:45,520 Speaker 1: that I don't like forecasting seven days out just because 693 00:44:45,640 --> 00:44:50,080 Speaker 1: anything past seven days is really a coin toss Um. 694 00:44:50,120 --> 00:44:53,920 Speaker 1: I can give you all sorts of statistics and go 695 00:44:54,000 --> 00:44:57,480 Speaker 1: down history and what kind of jet stream we've had 696 00:44:57,480 --> 00:45:00,520 Speaker 1: in the past, and but to be it's with you, 697 00:45:00,680 --> 00:45:05,280 Speaker 1: we we don't really know past seven days. Um. You know. Again, 698 00:45:05,280 --> 00:45:07,719 Speaker 1: we can go out sort of historically and and look 699 00:45:07,760 --> 00:45:12,200 Speaker 1: at different maps of of of you know what it 700 00:45:12,239 --> 00:45:15,200 Speaker 1: looks like now in terms of what it looked like 701 00:45:15,239 --> 00:45:17,759 Speaker 1: in the past. You know, the things that we look 702 00:45:17,800 --> 00:45:21,080 Speaker 1: at in the higher layers of the atmosphere that makes 703 00:45:21,160 --> 00:45:23,759 Speaker 1: the weather. But I will tell you that we right 704 00:45:23,800 --> 00:45:26,879 Speaker 1: now are into one of the coldest periods so far 705 00:45:26,960 --> 00:45:32,880 Speaker 1: of the season. And California is getting incredible amounts of 706 00:45:32,920 --> 00:45:35,520 Speaker 1: moisture right now, which is a good news bad news situation. 707 00:45:35,520 --> 00:45:37,160 Speaker 1: It's good news because it's going to help them with 708 00:45:37,200 --> 00:45:41,000 Speaker 1: the drought, um, but they are getting an incredible amount 709 00:45:41,000 --> 00:45:44,520 Speaker 1: of rain and mountain snow spreading over much of the West. 710 00:45:44,640 --> 00:45:48,839 Speaker 1: So that's that's a really amazing weather pattern that's that's 711 00:45:48,920 --> 00:45:52,440 Speaker 1: hitting them. That doesn't happen very often. And for us, 712 00:45:52,640 --> 00:45:55,680 Speaker 1: it's it's very cold in New York and that has 713 00:45:55,760 --> 00:45:58,799 Speaker 1: sort of, um, the fact that we've had Arctic air 714 00:45:59,000 --> 00:46:02,320 Speaker 1: kind of move in. That's set the table for maybe 715 00:46:02,400 --> 00:46:07,000 Speaker 1: some snow in our not so distant future, meaning you know, 716 00:46:08,040 --> 00:46:13,960 Speaker 1: happening now, we're going to get some snow. Um, So listen. 717 00:46:14,520 --> 00:46:17,440 Speaker 1: So far, it's been a pretty mild winter, let's just 718 00:46:17,480 --> 00:46:21,719 Speaker 1: say that. And we're already into February, so listen. As 719 00:46:21,800 --> 00:46:23,719 Speaker 1: much as I'd like to say that the rest of 720 00:46:23,719 --> 00:46:28,280 Speaker 1: the winter might be Okay, We've had some pretty wicked 721 00:46:28,320 --> 00:46:33,600 Speaker 1: storms in February and March that bring a lot of snow. So, um, 722 00:46:33,640 --> 00:46:36,160 Speaker 1: I wish I could give you a better sort of outlook, 723 00:46:36,200 --> 00:46:39,640 Speaker 1: But um, I'm just one of those people that says, 724 00:46:40,239 --> 00:46:42,399 Speaker 1: I can show you the forecast within the next three 725 00:46:42,400 --> 00:46:44,239 Speaker 1: to four days, and even that's not going to be 726 00:46:44,320 --> 00:46:52,120 Speaker 1: sometimes very accurate. Well, I can tell you it's it's 727 00:46:52,320 --> 00:46:57,120 Speaker 1: very sunny here in Florida's so I'm glad to know 728 00:46:57,239 --> 00:46:59,680 Speaker 1: that I'm not a part of any of these snow 729 00:46:59,719 --> 00:47:03,960 Speaker 1: east states like New York, Illinois or any of those 730 00:47:04,360 --> 00:47:07,560 Speaker 1: Sunshine all day for you, my friends, you got sunshine 731 00:47:07,600 --> 00:47:12,279 Speaker 1: all days exactly. That was That was at dinner with 732 00:47:12,560 --> 00:47:15,560 Speaker 1: one of our colleagues and some friends, Lisa Booth, and 733 00:47:15,640 --> 00:47:18,920 Speaker 1: she was saying, how love Yes, she's pretty awesome. She 734 00:47:19,040 --> 00:47:21,640 Speaker 1: was saying how happy she is to be out of 735 00:47:21,640 --> 00:47:24,640 Speaker 1: New York because the weather is stable, and so is 736 00:47:24,680 --> 00:47:30,280 Speaker 1: the governors. On that note, On that note, because before 737 00:47:30,320 --> 00:47:32,799 Speaker 1: we go, can you tell everyone where they can find you, 738 00:47:32,800 --> 00:47:35,680 Speaker 1: your shows, your social media handles, and if you have 739 00:47:35,920 --> 00:47:38,880 Speaker 1: any big projects coming up, because we would love to 740 00:47:39,000 --> 00:47:41,719 Speaker 1: support them. I actually have a book coming out in 741 00:47:41,840 --> 00:47:45,319 Speaker 1: March that I would love to come and talk to 742 00:47:45,360 --> 00:47:48,600 Speaker 1: you about when it comes out. This this book I'm 743 00:47:48,680 --> 00:47:51,880 Speaker 1: so proud of because it's not about me. It is 744 00:47:51,920 --> 00:47:56,920 Speaker 1: about wonderful people doing kind things for others. And it's 745 00:47:56,960 --> 00:47:59,799 Speaker 1: called Make your Own Sunshine. And I do something on 746 00:48:00,000 --> 00:48:02,399 Speaker 1: Box News Radio called the Dean's List. I've been doing 747 00:48:02,440 --> 00:48:05,160 Speaker 1: it for years now. It's a it's a good news 748 00:48:05,160 --> 00:48:07,840 Speaker 1: story that I do every single day that I record, 749 00:48:08,480 --> 00:48:11,400 Speaker 1: and I've gotten such wonderful feedback over the years, and 750 00:48:11,440 --> 00:48:14,880 Speaker 1: I always thought to myself that that would be a 751 00:48:14,920 --> 00:48:18,520 Speaker 1: good book some days, taking my favorite Dean's lists and 752 00:48:18,600 --> 00:48:21,440 Speaker 1: putting them into a book and sort of expanding, giving 753 00:48:21,480 --> 00:48:25,359 Speaker 1: everybody their own chapter. And so that's what I've been 754 00:48:25,360 --> 00:48:30,160 Speaker 1: working on for the past year. It started pre pandemic, uh, 755 00:48:30,200 --> 00:48:34,040 Speaker 1: and then I was still writing during the pandemic. And 756 00:48:34,080 --> 00:48:37,360 Speaker 1: I will tell you it brought great joy and and 757 00:48:38,080 --> 00:48:42,160 Speaker 1: brought me sunshine during a very dark period doing these 758 00:48:42,200 --> 00:48:47,560 Speaker 1: stories about wonderful people doing extraordinary things for others. From 759 00:48:47,600 --> 00:48:53,200 Speaker 1: you know, from a woman who um had a compromised child. 760 00:48:53,320 --> 00:48:56,720 Speaker 1: She had Type two diabetes and they were very scared 761 00:48:56,920 --> 00:49:00,239 Speaker 1: of her getting COVID, so she had a sign out 762 00:49:00,239 --> 00:49:04,960 Speaker 1: of outside her her door, outside of her house that said, please, 763 00:49:05,400 --> 00:49:09,839 Speaker 1: if you're bringing a delivery, UM, put the package on 764 00:49:09,920 --> 00:49:13,480 Speaker 1: the doorstep and you know, just leave it there, because 765 00:49:13,480 --> 00:49:17,600 Speaker 1: we have a compromised person that lives at this residence 766 00:49:18,200 --> 00:49:22,279 Speaker 1: and a FedEx driver who saw the sign and who 767 00:49:22,320 --> 00:49:25,400 Speaker 1: didn't realize he was being you know, video tape or 768 00:49:25,520 --> 00:49:28,400 Speaker 1: videotaped because of you know, one of those nest cameras. 769 00:49:29,040 --> 00:49:32,160 Speaker 1: He went back to his FedEx truck and got a 770 00:49:32,560 --> 00:49:38,400 Speaker 1: you know, uh, sanitizing spray and sprayed the package and 771 00:49:38,520 --> 00:49:44,000 Speaker 1: wiped it down and left. Didn't do it, uh, you know, 772 00:49:44,080 --> 00:49:48,600 Speaker 1: to get any kind of um fanfare. He just he 773 00:49:48,719 --> 00:49:52,319 Speaker 1: had a child that was also compromised and knew that 774 00:49:52,480 --> 00:49:55,640 Speaker 1: he wanted to do anything he could h so that 775 00:49:55,719 --> 00:49:59,520 Speaker 1: the package was safe for that for that mom and 776 00:49:59,560 --> 00:50:02,880 Speaker 1: her child fild and she decided to put it on 777 00:50:02,920 --> 00:50:08,040 Speaker 1: Twitter and it went viral. And she's the first story 778 00:50:08,080 --> 00:50:10,640 Speaker 1: in the book. And I've become such good friends with her. 779 00:50:10,680 --> 00:50:14,399 Speaker 1: Actually we spoke during the pandemic. She knew what had 780 00:50:14,400 --> 00:50:18,279 Speaker 1: happened with my husband's parents. Um. She's been just such 781 00:50:18,280 --> 00:50:20,880 Speaker 1: a light in my life. But that's an example of 782 00:50:20,880 --> 00:50:23,359 Speaker 1: the type of stories that I focus on on this book. 783 00:50:23,400 --> 00:50:26,520 Speaker 1: It's called Make your Own Sunshine. It's a beautiful book. 784 00:50:26,719 --> 00:50:29,400 Speaker 1: It has a special place in my heart because I 785 00:50:29,440 --> 00:50:31,479 Speaker 1: wrote a lot of it during a really dark time 786 00:50:32,040 --> 00:50:33,799 Speaker 1: when we look forward to get in the book when 787 00:50:33,800 --> 00:50:36,319 Speaker 1: it comes out, and it comes out in March, it 788 00:50:36,400 --> 00:50:39,720 Speaker 1: does early March, early March, where we will be certainly 789 00:50:39,760 --> 00:50:42,480 Speaker 1: looking out for that. Can you give us your social 790 00:50:42,520 --> 00:50:46,759 Speaker 1: media handles please? Of course. So on Twitter I'm at Janisteine, 791 00:50:46,760 --> 00:50:48,920 Speaker 1: and I'll give you a forecast, but there's also going 792 00:50:48,960 --> 00:50:51,479 Speaker 1: to be you know, some stormy weather when it comes 793 00:50:51,520 --> 00:50:57,799 Speaker 1: to the governor. Well that that's the only story weather 794 00:50:57,880 --> 00:51:04,279 Speaker 1: we like. And then um, on Instagram, I'm at Janisteine 795 00:51:04,320 --> 00:51:08,479 Speaker 1: fancy and then on Facebook at Janisteine. So I'm gonna 796 00:51:08,520 --> 00:51:10,680 Speaker 1: have to follow you on Instagram. I didn't have your 797 00:51:10,880 --> 00:51:13,440 Speaker 1: your Instagram. Well, I'll follow you right back. What's yours? 798 00:51:13,520 --> 00:51:17,680 Speaker 1: My friend Gianno at Gianno calledwell, got it? So that's 799 00:51:17,719 --> 00:51:24,080 Speaker 1: pretty easy, right. I gotta tell you, you've um really 800 00:51:24,880 --> 00:51:30,600 Speaker 1: really provided so much hope in this conversation. I mean 801 00:51:30,880 --> 00:51:34,800 Speaker 1: we laughed together, we cried together as it's awfully sad 802 00:51:34,960 --> 00:51:39,040 Speaker 1: what has taken place. But when there's someone like you 803 00:51:39,200 --> 00:51:42,919 Speaker 1: on the front lines fighting for those who can't fight 804 00:51:43,000 --> 00:51:45,920 Speaker 1: for themselves. I think at the end of the day 805 00:51:45,960 --> 00:51:50,719 Speaker 1: it will be very sunny. So we appreciate you, Jannistein, 806 00:51:50,840 --> 00:51:53,560 Speaker 1: for all that you do and all that you mean 807 00:51:53,680 --> 00:51:55,959 Speaker 1: to all of us. So thank you so much, my friend, 808 00:51:56,000 --> 00:51:59,160 Speaker 1: for coming on. I truly appreciate you joining out Loud 809 00:51:59,200 --> 00:52:04,520 Speaker 1: with Gianno called well. You are a wonderful human, my friend, 810 00:52:04,840 --> 00:52:09,080 Speaker 1: and I I'm so grateful for your support and your 811 00:52:09,160 --> 00:52:14,640 Speaker 1: love and your constant I don't know humanity, I guess 812 00:52:14,680 --> 00:52:17,120 Speaker 1: is what I want to say, because I feel that 813 00:52:17,280 --> 00:52:20,919 Speaker 1: you are such a good person and I'm grateful. Thank 814 00:52:20,920 --> 00:52:26,520 Speaker 1: you so much. Thanks to jan Iss Deine for a 815 00:52:26,560 --> 00:52:29,200 Speaker 1: great interview. If you're enjoying the show, please leave us 816 00:52:29,200 --> 00:52:31,520 Speaker 1: a review and rate us with five stars on Apple Podcast. 817 00:52:31,880 --> 00:52:34,120 Speaker 1: If you have any questions for me, please email me 818 00:52:34,160 --> 00:52:36,719 Speaker 1: at out Loud at gengistreet sixty dot com and I'll 819 00:52:36,719 --> 00:52:39,120 Speaker 1: try to answer them in our future episodes. You can 820 00:52:39,160 --> 00:52:42,719 Speaker 1: also find me on Twitter, Instagram, and Facebook at Giano Caldwell. 821 00:52:43,120 --> 00:52:45,320 Speaker 1: And if you're interested in learning more about my story, 822 00:52:45,600 --> 00:52:47,600 Speaker 1: please pick up a copy of my best selling book 823 00:52:47,640 --> 00:52:51,120 Speaker 1: titled taken for granted, how conservatism can win back to 824 00:52:51,160 --> 00:52:55,080 Speaker 1: Americans and liberalism failed, especially thanks to our producer John Cassio, 825 00:52:55,520 --> 00:52:59,919 Speaker 1: researcher Aaron Klingman, and executive producers Debbie Myers and of course, 826 00:53:00,320 --> 00:53:02,960 Speaker 1: the former Speaker of the House of New Gingridge, all 827 00:53:03,040 --> 00:53:04,720 Speaker 1: part of the Gingridge three sixty network,