1 00:00:02,200 --> 00:00:06,880 Speaker 1: Hey there, folks, we just saw the movie that so 2 00:00:07,080 --> 00:00:12,319 Speaker 1: many people were talking about Millennia. This is our very 3 00:00:13,160 --> 00:00:18,800 Speaker 1: carefully worded review with that, welcome to this episode of 4 00:00:18,920 --> 00:00:21,960 Speaker 1: Aiming and TJ. Road. I say, everybody was talking about it, 5 00:00:22,040 --> 00:00:25,759 Speaker 1: the President, the big premiere they had at the Kennedy 6 00:00:25,800 --> 00:00:28,200 Speaker 1: Center and all that, and then it wasn't expected to 7 00:00:28,200 --> 00:00:31,760 Speaker 1: do well, and let's give it it's do. It performed 8 00:00:31,880 --> 00:00:35,560 Speaker 1: beyond expectations, made a little lower seven million dollars opening weekend. 9 00:00:35,640 --> 00:00:36,919 Speaker 1: That's a big deal for a documentary. 10 00:00:36,960 --> 00:00:39,199 Speaker 2: It's a huge deal for a documentary, even one with 11 00:00:39,240 --> 00:00:41,480 Speaker 2: the hefty price tag that this one had. But yeah, 12 00:00:41,520 --> 00:00:44,479 Speaker 2: they were expecting between three and five million at best, 13 00:00:45,000 --> 00:00:47,640 Speaker 2: and it was north of seven million. Correct, There were 14 00:00:47,640 --> 00:00:50,519 Speaker 2: some astermates to say closer to eight million. So that 15 00:00:50,720 --> 00:00:54,920 Speaker 2: is a wild success for a documentary. 16 00:00:55,080 --> 00:00:56,880 Speaker 1: Yeah, I put that in right context. You hear that 17 00:00:57,000 --> 00:00:59,840 Speaker 1: seven million dollars If it was an Avengers movie, that's 18 00:01:00,120 --> 00:01:03,480 Speaker 1: total bust. This is gangbusters and one of the best 19 00:01:03,520 --> 00:01:06,600 Speaker 1: documentaries we've seen perform in a decade at the box office. 20 00:01:06,680 --> 00:01:10,480 Speaker 1: So that let's give it it's due. Now. The other 21 00:01:10,600 --> 00:01:12,440 Speaker 1: part of it is that in ropes, you have it 22 00:01:12,520 --> 00:01:16,080 Speaker 1: up right now, what's the current Okay, so it has 23 00:01:16,200 --> 00:01:19,240 Speaker 1: been just skewed by the critics out there, and the 24 00:01:19,319 --> 00:01:21,600 Speaker 1: Rotten Tomato scores are hilarious. 25 00:01:21,680 --> 00:01:26,880 Speaker 2: Yes, so the critics score is five percent, that's about 26 00:01:26,959 --> 00:01:30,759 Speaker 2: as low as I've ever seen, and the popcorn meter, 27 00:01:30,880 --> 00:01:34,959 Speaker 2: which is the audience verified reviews or ratings, are at 28 00:01:35,200 --> 00:01:36,560 Speaker 2: ninety nine percent. 29 00:01:36,760 --> 00:01:39,920 Speaker 1: That's why I say it's hilarious, and that makes perfect sense. 30 00:01:39,959 --> 00:01:43,080 Speaker 1: You go, okay, why is this possible? I don't see 31 00:01:43,080 --> 00:01:46,959 Speaker 1: that kind of We see discrepancy. Sometimes the critics are 32 00:01:47,000 --> 00:01:49,640 Speaker 1: at forty five and the audience is at seventy. Stuff 33 00:01:49,680 --> 00:01:52,559 Speaker 1: like that can't happen. This doesn't happen, and it makes 34 00:01:52,560 --> 00:01:54,560 Speaker 1: sense when you think about it. Maybe don't have to 35 00:01:54,560 --> 00:01:57,200 Speaker 1: think about it that long. Why that be such a discrepancy? 36 00:01:57,360 --> 00:02:00,280 Speaker 2: Well, look, yes it makes sense, But I also thought, 37 00:02:00,360 --> 00:02:03,120 Speaker 2: you know, what are all of these critics? And yes, 38 00:02:03,240 --> 00:02:06,560 Speaker 2: you might think people who work in the mainstream media, 39 00:02:06,600 --> 00:02:10,160 Speaker 2: according to our president at least, are all left of 40 00:02:10,280 --> 00:02:14,440 Speaker 2: center and anti administration and anti Trump, and so you 41 00:02:14,440 --> 00:02:17,320 Speaker 2: could start to think, Okay, those critics had an agenda, 42 00:02:17,639 --> 00:02:20,760 Speaker 2: and we obviously leave space for that as well. So 43 00:02:20,800 --> 00:02:22,840 Speaker 2: we wanted to go see for ourselves to have the 44 00:02:22,880 --> 00:02:26,919 Speaker 2: audience love this movie and rave about the movie as 45 00:02:27,080 --> 00:02:30,000 Speaker 2: much as they have, and to see the critics not 46 00:02:30,200 --> 00:02:32,640 Speaker 2: just say this isn't a good film, don't go see it, 47 00:02:32,720 --> 00:02:36,799 Speaker 2: but just disparage it, call it a horror movie, call 48 00:02:36,840 --> 00:02:38,000 Speaker 2: it an abomin nation. 49 00:02:38,160 --> 00:02:40,680 Speaker 3: I mean, they went off on this film. 50 00:02:41,000 --> 00:02:43,240 Speaker 1: Okay, some of that was a little much, and it 51 00:02:43,400 --> 00:02:46,520 Speaker 1: certainly you can understand robes. The people who are in 52 00:02:46,600 --> 00:02:49,600 Speaker 1: the theater, in all likelihood at least who aren't critics 53 00:02:49,960 --> 00:02:54,640 Speaker 1: citizens are probably already fans of Donald Trump and Milania Trump, 54 00:02:54,680 --> 00:02:58,840 Speaker 1: so that would make sense predisposed to like Milania a lot. 55 00:02:59,360 --> 00:03:02,920 Speaker 1: But ninety nine percent versus five percent is just not 56 00:03:03,080 --> 00:03:06,480 Speaker 1: something you see. And this this is the biggest disparity obviously, 57 00:03:06,560 --> 00:03:07,600 Speaker 1: I've ever seen one. 58 00:03:07,639 --> 00:03:10,120 Speaker 2: And it was I think that was really the driving 59 00:03:10,200 --> 00:03:13,200 Speaker 2: reason behind why we knew we had to see this 60 00:03:13,280 --> 00:03:14,200 Speaker 2: movie for ourselves. 61 00:03:14,280 --> 00:03:16,280 Speaker 1: So we had to see it, and we did some 62 00:03:16,320 --> 00:03:18,560 Speaker 1: context here. You've seen a lot of headlines and some 63 00:03:18,639 --> 00:03:20,600 Speaker 1: places a lot of critics say I went to a 64 00:03:20,639 --> 00:03:23,200 Speaker 1: theater and it was empty, Oh, nobody was there. And 65 00:03:23,240 --> 00:03:24,800 Speaker 1: then they say, yeah, I went to the one at 66 00:03:24,840 --> 00:03:29,520 Speaker 1: Lincoln Center on the Upper West side, okay, like duh okay, fine, 67 00:03:29,760 --> 00:03:31,920 Speaker 1: but then you had reports of places like Dallas at 68 00:03:31,960 --> 00:03:36,280 Speaker 1: whatnot that did have larger crowds in those theaters. We 69 00:03:36,360 --> 00:03:41,120 Speaker 1: went full disclosure in the daytime, in the middle of 70 00:03:41,120 --> 00:03:43,120 Speaker 1: the week and a weekday, so you wouldn't expect the 71 00:03:43,120 --> 00:03:43,960 Speaker 1: full theater anyway. 72 00:03:44,160 --> 00:03:46,240 Speaker 2: Every time we go to the movies, and it could 73 00:03:46,280 --> 00:03:49,840 Speaker 2: be the biggest blockbuster ever, we always go at like 74 00:03:49,920 --> 00:03:53,480 Speaker 2: the eleven thirty am showing on a Monday, and guess what, 75 00:03:53,840 --> 00:03:57,320 Speaker 2: we're almost always one of the only people in the theater. 76 00:03:57,440 --> 00:04:00,400 Speaker 2: So it was not an exception that the theat was 77 00:04:00,440 --> 00:04:02,800 Speaker 2: mostly empty for us, because that's always what it looks 78 00:04:02,840 --> 00:04:05,040 Speaker 2: like when we choose to go to the movies. There 79 00:04:05,120 --> 00:04:09,760 Speaker 2: were I think I counted for women, and we'll get 80 00:04:09,800 --> 00:04:12,520 Speaker 2: into some of the demographics because they're very interesting. But 81 00:04:12,560 --> 00:04:14,440 Speaker 2: they were all women, and they were all I believe 82 00:04:14,480 --> 00:04:15,320 Speaker 2: age forty. 83 00:04:15,080 --> 00:04:17,120 Speaker 1: And up, and that goes exactly in line with the 84 00:04:17,160 --> 00:04:20,200 Speaker 1: demographics you're going to be talking about. So that sets 85 00:04:20,200 --> 00:04:23,400 Speaker 1: it up. We get in there with our popcorn, literally 86 00:04:23,440 --> 00:04:27,359 Speaker 1: a bucket of popcorn, diapepsy diapeps in the water, and 87 00:04:27,480 --> 00:04:31,920 Speaker 1: let's take this thing in now, robes let's go before 88 00:04:31,920 --> 00:04:35,800 Speaker 1: we get into some specific details that stand out your 89 00:04:35,920 --> 00:04:42,919 Speaker 1: general initial first response to it are initial thoughts upon 90 00:04:42,960 --> 00:04:43,800 Speaker 1: seeing Millennia. 91 00:04:44,760 --> 00:04:50,039 Speaker 2: Well, she looked perfect. She was perfectly curated from head 92 00:04:50,080 --> 00:04:52,480 Speaker 2: to toe. And look, I know that if you've read 93 00:04:52,480 --> 00:04:55,200 Speaker 2: the reviews, you know this is true. But the I 94 00:04:55,240 --> 00:04:57,919 Speaker 2: think it's it definitely was disappointing for a lot of 95 00:04:57,920 --> 00:05:00,520 Speaker 2: people who wanted to actually get to know Malania. 96 00:05:00,720 --> 00:05:02,080 Speaker 3: That was the whole point of the film. 97 00:05:02,120 --> 00:05:04,040 Speaker 2: She started out saying, you know, you all want to know, 98 00:05:04,120 --> 00:05:06,480 Speaker 2: so here it is, and you think, okay, great, We're 99 00:05:06,480 --> 00:05:08,400 Speaker 2: going to pull back the curtains. We're going to see 100 00:05:08,400 --> 00:05:10,880 Speaker 2: twenty days in the life of Malania Trump leading up 101 00:05:10,920 --> 00:05:13,880 Speaker 2: to the inauguration. This is going to be fantastic. Finally 102 00:05:14,240 --> 00:05:18,640 Speaker 2: I'm gonna get to see Milania not perfectly curated and quoifed, 103 00:05:18,839 --> 00:05:21,440 Speaker 2: and I'm going to get to hear her talk and 104 00:05:22,000 --> 00:05:24,880 Speaker 2: see her interactions with President Trump, and maybe even get 105 00:05:24,880 --> 00:05:26,840 Speaker 2: to hear Baron Trump's voice. I've never even heard his 106 00:05:26,920 --> 00:05:29,960 Speaker 2: voice before, so I was hoping for all of those things. 107 00:05:31,520 --> 00:05:32,799 Speaker 3: And none of them happened. 108 00:05:34,360 --> 00:05:40,920 Speaker 1: None. So before you even I mean, content wise, it 109 00:05:41,400 --> 00:05:46,480 Speaker 1: was fairly shocking from what you were expecting to what 110 00:05:46,520 --> 00:05:50,280 Speaker 1: you actually got, and this wasn't. I felt it never 111 00:05:50,360 --> 00:05:53,279 Speaker 1: felt like a documentary, and the feeling of it to 112 00:05:53,360 --> 00:05:58,320 Speaker 1: me was a reality show. A reality show where certain 113 00:05:58,360 --> 00:06:01,480 Speaker 1: things are it's supposed to be real, but it certainly. 114 00:06:01,120 --> 00:06:02,920 Speaker 3: Feels staged without any drama. 115 00:06:03,480 --> 00:06:08,239 Speaker 1: There was zero drama conflict of any kind. 116 00:06:08,320 --> 00:06:11,920 Speaker 2: And that's what make reality shows good and interesting and entertaining. 117 00:06:12,000 --> 00:06:14,240 Speaker 1: I think you pointed it out. There was something that 118 00:06:14,279 --> 00:06:16,680 Speaker 1: one of the designers was stressing for a second, and 119 00:06:16,720 --> 00:06:17,919 Speaker 1: that felt like drama. 120 00:06:18,200 --> 00:06:22,320 Speaker 3: I was like, is this like in the film? 121 00:06:22,560 --> 00:06:27,920 Speaker 1: This was perfectly packaged presentation of Milania And they didn't 122 00:06:27,960 --> 00:06:29,760 Speaker 1: want you to see a flaw and. 123 00:06:29,720 --> 00:06:32,800 Speaker 3: We didn't, and that is but that was the flaw 124 00:06:33,440 --> 00:06:34,640 Speaker 3: of the film for. 125 00:06:34,520 --> 00:06:38,000 Speaker 1: Me, because I went in genuine I am fascinated by 126 00:06:38,040 --> 00:06:43,160 Speaker 1: this woman, and I walked away still fascinating, fascinated. You 127 00:06:43,240 --> 00:06:46,719 Speaker 1: don't actually feel one way or another because you don't 128 00:06:46,839 --> 00:06:50,560 Speaker 1: get anything to react to or feel. Of course, she 129 00:06:50,800 --> 00:06:54,640 Speaker 1: is a fashion icon, and we see it repeatedly and 130 00:06:54,680 --> 00:06:58,320 Speaker 1: repeatedly and repeatedly in this film. But romees it gave. 131 00:06:58,839 --> 00:07:03,640 Speaker 1: I was fairly sunned. We were stunned at how little 132 00:07:04,040 --> 00:07:06,960 Speaker 1: we see in a documentary. There are times robes they 133 00:07:07,040 --> 00:07:12,640 Speaker 1: played long stretches of the inauguration like film footage we 134 00:07:12,720 --> 00:07:15,760 Speaker 1: have seen plenty of times before. Why do I need 135 00:07:15,800 --> 00:07:18,080 Speaker 1: fifteen minutes here when I'm trying to learn about her 136 00:07:19,160 --> 00:07:24,960 Speaker 1: beautifully shot great right? All that, I was stunned at 137 00:07:24,960 --> 00:07:25,760 Speaker 1: how little we got. 138 00:07:26,120 --> 00:07:30,240 Speaker 2: I yes, agreed, because we knew going in obviously the 139 00:07:30,240 --> 00:07:32,960 Speaker 2: bad reviews. We had a level of expectation about what 140 00:07:33,000 --> 00:07:35,360 Speaker 2: we weren't going to get, and still it fell even 141 00:07:35,440 --> 00:07:38,760 Speaker 2: further short than those expectations. And I look at it 142 00:07:38,800 --> 00:07:42,080 Speaker 2: as a missed opportunity. There was a real opportunity to 143 00:07:42,240 --> 00:07:45,440 Speaker 2: show us Malania Trump as a human, as a woman, 144 00:07:45,560 --> 00:07:48,480 Speaker 2: as a mother, as a wife. And all I saw 145 00:07:48,760 --> 00:07:51,840 Speaker 2: was that she knows how to hem, She knows where 146 00:07:51,880 --> 00:07:54,160 Speaker 2: the hemline should go and address, and she knows how 147 00:07:54,200 --> 00:07:57,000 Speaker 2: she likes her collars, and she likes you know, she 148 00:07:57,080 --> 00:08:01,680 Speaker 2: has a very specific way of designing and curating herself 149 00:08:01,720 --> 00:08:02,320 Speaker 2: in the White House. 150 00:08:02,360 --> 00:08:03,040 Speaker 3: That's what I got. 151 00:08:03,160 --> 00:08:07,280 Speaker 1: That's not sarcasm. What you just said was accurate, what 152 00:08:07,560 --> 00:08:10,000 Speaker 1: the highlight was. And I'm just making sure nobody heard 153 00:08:10,040 --> 00:08:11,800 Speaker 1: you and thinking you were in some kind of way 154 00:08:11,800 --> 00:08:14,880 Speaker 1: being facetious there no no, no, no, no, we learned 155 00:08:15,480 --> 00:08:18,800 Speaker 1: this about her like that is what she is skilled at. 156 00:08:19,120 --> 00:08:25,320 Speaker 1: I'm saying how they were highlighting things robes that I 157 00:08:25,360 --> 00:08:28,600 Speaker 1: didn't want to know about her. I know she is 158 00:08:28,720 --> 00:08:31,600 Speaker 1: perfectly curated, and I'm sure she has tailors around and 159 00:08:31,640 --> 00:08:34,680 Speaker 1: I see all that. I wanted to know what she's 160 00:08:34,720 --> 00:08:36,880 Speaker 1: like as a mother, what if she is in handling 161 00:08:36,920 --> 00:08:39,960 Speaker 1: and taking care of Donald Trump? I And maybe it 162 00:08:40,040 --> 00:08:42,960 Speaker 1: wasn't supposed to be that type of personal intimate thing. 163 00:08:43,040 --> 00:08:46,200 Speaker 1: It was something else, and maybe they did exactly what 164 00:08:46,240 --> 00:08:46,840 Speaker 1: they wanted. 165 00:08:47,280 --> 00:08:50,200 Speaker 2: I just wouldn't it have been amazing though, to have 166 00:08:50,280 --> 00:08:54,120 Speaker 2: seen her and relate and be able to relate. 167 00:08:53,800 --> 00:08:56,679 Speaker 3: To her she wanted to look. I can't see what 168 00:08:56,679 --> 00:08:57,079 Speaker 3: she wanted. 169 00:08:57,160 --> 00:08:59,440 Speaker 2: It seemed as though, based on the film and what 170 00:08:59,480 --> 00:09:03,840 Speaker 2: they present to audience members, they wanted her to appear 171 00:09:04,200 --> 00:09:08,840 Speaker 2: almost like royalty queen like and up on a pedestal 172 00:09:09,120 --> 00:09:13,840 Speaker 2: above us all and focused on her role taking care 173 00:09:13,880 --> 00:09:16,560 Speaker 2: of us and taking care of her image. 174 00:09:16,679 --> 00:09:21,280 Speaker 3: And it just fell so far below. 175 00:09:21,000 --> 00:09:24,280 Speaker 2: Or beneath what I was hoping for, because I just wanted, 176 00:09:24,400 --> 00:09:26,960 Speaker 2: like I think all of us, regardless of politics, I 177 00:09:27,120 --> 00:09:30,079 Speaker 2: want to like the first lady. I want to root 178 00:09:30,160 --> 00:09:34,360 Speaker 2: for her. I love seeing women, and she's gorgeous. Like 179 00:09:34,520 --> 00:09:35,720 Speaker 2: the thing is what I. 180 00:09:35,679 --> 00:09:36,360 Speaker 3: Saw in the film. 181 00:09:36,400 --> 00:09:40,120 Speaker 2: I already knew she's beautiful, she's stunning, she was a model. 182 00:09:40,200 --> 00:09:42,960 Speaker 2: You don't need to prove that to us. You are gorgeous. 183 00:09:43,320 --> 00:09:47,200 Speaker 2: You were given incredible DNA and you've done really wonderful 184 00:09:47,200 --> 00:09:49,960 Speaker 2: things with it. But I didn't need to know that. 185 00:09:50,080 --> 00:09:51,520 Speaker 2: I already knew that. 186 00:09:51,520 --> 00:09:54,920 Speaker 1: That's it what I saw, I already knew that's it. 187 00:09:55,400 --> 00:09:57,840 Speaker 1: That's the review. You could probably write that and keep 188 00:09:57,840 --> 00:09:59,640 Speaker 1: it pushing and don't have to say much more. And 189 00:09:59,679 --> 00:10:02,120 Speaker 1: that's fine if that's what they wanted to put out. 190 00:10:02,160 --> 00:10:03,800 Speaker 1: But we were just saying what we saw with our 191 00:10:03,840 --> 00:10:07,520 Speaker 1: own eyes, that we are fans. Robes of All's Fair, 192 00:10:08,160 --> 00:10:11,920 Speaker 1: Kim Kardashian's show on Hulu. I bring that up because 193 00:10:11,960 --> 00:10:17,280 Speaker 1: that's another show that was horribly reviewed, But I say 194 00:10:17,320 --> 00:10:21,240 Speaker 1: it in this way. Robes, it had the documentary at 195 00:10:21,320 --> 00:10:27,240 Speaker 1: least had this over the top fashion opulence at times. 196 00:10:27,720 --> 00:10:33,560 Speaker 1: Feel to these introductory shots, these big opening it felt 197 00:10:33,920 --> 00:10:36,480 Speaker 1: this over the It really did feel like that showed 198 00:10:36,559 --> 00:10:36,960 Speaker 1: me at time. 199 00:10:37,040 --> 00:10:40,160 Speaker 2: Yes it you know, the look of it just and 200 00:10:40,240 --> 00:10:42,360 Speaker 2: by the way, as you pointed out earlier, the shots 201 00:10:42,360 --> 00:10:45,160 Speaker 2: and the cinematography were gorgeous, but most of the time 202 00:10:45,200 --> 00:10:48,439 Speaker 2: I felt like I was watching an out of touch 203 00:10:48,520 --> 00:10:55,880 Speaker 2: with reality fashion like almost a music video, because there 204 00:10:55,960 --> 00:10:59,240 Speaker 2: was just there was wonderful music of my favorite songs, 205 00:10:59,440 --> 00:11:02,560 Speaker 2: from Michael Jackson to I Forgot. 206 00:11:02,559 --> 00:11:03,760 Speaker 3: They just had a bunch. I was like, oh, I 207 00:11:03,760 --> 00:11:05,000 Speaker 3: love the song. Oh I love this song. 208 00:11:05,520 --> 00:11:09,400 Speaker 2: But basically that is what the director had to put 209 00:11:09,480 --> 00:11:12,480 Speaker 2: because all we saw were I think you said fifty 210 00:11:12,520 --> 00:11:14,600 Speaker 2: to eighty percent. I think it was seventy five percent. 211 00:11:14,679 --> 00:11:17,440 Speaker 2: Foreshore of the film, and this is not an exaggeration. 212 00:11:18,240 --> 00:11:21,600 Speaker 2: Is her walking, and the only thing that changes is 213 00:11:21,640 --> 00:11:24,160 Speaker 2: either the cameras behind her, so you see her gorgeous 214 00:11:24,200 --> 00:11:27,760 Speaker 2: hair as she's walking in her stilettos, or maybe you 215 00:11:27,800 --> 00:11:29,400 Speaker 2: get a thing from the front and you see her 216 00:11:29,440 --> 00:11:32,200 Speaker 2: holding Donald Trump's hand but she's walking like a model, 217 00:11:32,559 --> 00:11:36,959 Speaker 2: or sometimes the camera was off afar, like maybe behind 218 00:11:37,000 --> 00:11:39,760 Speaker 2: the scenes and you're seeing her walking. But literally it 219 00:11:39,800 --> 00:11:42,200 Speaker 2: was just from one walking shot to the next, to 220 00:11:42,240 --> 00:11:44,079 Speaker 2: the point where our jaws dropped. I was like, you've 221 00:11:44,080 --> 00:11:46,600 Speaker 2: got to be kidding me. She's still walking. 222 00:11:47,320 --> 00:11:50,800 Speaker 1: Okay, you all this is one This is not a criticism, 223 00:11:50,840 --> 00:11:54,120 Speaker 1: it's an observation, and you can call the criticism, but 224 00:11:54,200 --> 00:11:57,839 Speaker 1: this is an observation. To the point it got comical. 225 00:11:58,040 --> 00:12:04,520 Speaker 1: We were laughing, could not believe how it's You're right, folks, 226 00:12:04,559 --> 00:12:07,920 Speaker 1: it's an hour and forty four minutes. And every time 227 00:12:07,960 --> 00:12:11,760 Speaker 1: you see her, seventy five percent of the time she 228 00:12:12,200 --> 00:12:15,240 Speaker 1: is in motion, she is walking. You need to see 229 00:12:15,240 --> 00:12:18,440 Speaker 1: a close up of the shoes. We see everything going up. 230 00:12:18,640 --> 00:12:21,080 Speaker 1: How many times do we see her hair and not 231 00:12:21,160 --> 00:12:23,760 Speaker 1: see her face? Kind of that too many times? 232 00:12:23,880 --> 00:12:27,960 Speaker 2: Too many times, it was it was comical. And the 233 00:12:28,000 --> 00:12:30,240 Speaker 2: other shots were her getting in and out of vehicles. 234 00:12:30,679 --> 00:12:33,440 Speaker 2: Those are the other shots. And then when you did 235 00:12:33,480 --> 00:12:35,559 Speaker 2: have Trump, and by the way, when Trump did come 236 00:12:35,640 --> 00:12:39,840 Speaker 2: onto the screen, it made it finally somewhat interesting. 237 00:12:40,280 --> 00:12:41,880 Speaker 3: He spoke a little bit to the camera. 238 00:12:41,960 --> 00:12:44,360 Speaker 2: We got to see a few little exchanges, but sometimes 239 00:12:44,400 --> 00:12:48,120 Speaker 2: when they were actually talking and walking and music was blaring, 240 00:12:48,559 --> 00:12:50,600 Speaker 2: those are the moments I actually wanted to hear what 241 00:12:50,640 --> 00:12:52,440 Speaker 2: was he saying to her? What was she saying to him? 242 00:12:52,600 --> 00:12:55,199 Speaker 2: So it was actually frustrating because the one time you 243 00:12:55,280 --> 00:12:59,000 Speaker 2: might actually get to see some intimate exchanges that weren't performative. 244 00:12:59,720 --> 00:13:01,960 Speaker 3: They were masked with music. 245 00:13:02,400 --> 00:13:05,120 Speaker 1: One of the funniest. He did have some moment and 246 00:13:05,160 --> 00:13:08,080 Speaker 1: you even mentioned like nice moments, sweet moments. It seems 247 00:13:08,160 --> 00:13:12,240 Speaker 1: like he's been disarmed to a certain degree. The only 248 00:13:12,280 --> 00:13:15,600 Speaker 1: time I've ever been around him, she was next to him, 249 00:13:16,120 --> 00:13:20,400 Speaker 1: and he was charming, He was fun, and there was 250 00:13:20,440 --> 00:13:24,440 Speaker 1: something that she adds some element of warmth to him 251 00:13:25,120 --> 00:13:27,760 Speaker 1: in those moments, and you see that nice. 252 00:13:27,800 --> 00:13:30,520 Speaker 2: Yes, he seemed to soften when when he was around 253 00:13:30,559 --> 00:13:33,160 Speaker 2: Malania in a way that I appreciated. 254 00:13:33,160 --> 00:13:34,240 Speaker 3: It was nice seeing that. 255 00:13:34,920 --> 00:13:37,800 Speaker 2: I would have liked to have seen her just in 256 00:13:37,880 --> 00:13:43,480 Speaker 2: sweatpants or in anything other than high fashion and stilettos, 257 00:13:43,520 --> 00:13:46,160 Speaker 2: Like give me a little like she was sitting on 258 00:13:46,200 --> 00:13:48,680 Speaker 2: her couch watching the news in stilettos. 259 00:13:49,000 --> 00:13:50,280 Speaker 3: No woman does that. 260 00:13:50,600 --> 00:13:51,040 Speaker 1: She does. 261 00:13:51,400 --> 00:13:54,520 Speaker 2: No, she does not, not when the cameras aren't there, 262 00:13:54,679 --> 00:13:57,280 Speaker 2: She is not sitting in her living room watching the 263 00:13:57,320 --> 00:13:59,840 Speaker 2: news in stilettos. 264 00:14:00,840 --> 00:14:01,760 Speaker 3: I guarantee it. 265 00:14:02,840 --> 00:14:05,920 Speaker 1: We did mention that, to the point you pointed it 266 00:14:05,920 --> 00:14:07,800 Speaker 1: out to me about the shoes. I don't know. Halfway 267 00:14:07,800 --> 00:14:10,040 Speaker 1: through the movie, so I'm staring. I say, oh, yeah, 268 00:14:10,040 --> 00:14:14,400 Speaker 1: we're gonna see her in some tennis shoes, some fashion 269 00:14:14,559 --> 00:14:18,200 Speaker 1: shoot something. There was a slipper. 270 00:14:17,800 --> 00:14:19,680 Speaker 3: Shot for like a half a second. 271 00:14:19,880 --> 00:14:22,440 Speaker 1: It really was. In an hour and forty four minutes 272 00:14:22,480 --> 00:14:26,080 Speaker 1: of this movie, it was less than five seconds in 273 00:14:26,160 --> 00:14:29,080 Speaker 1: two different shots that you see her in something other 274 00:14:29,160 --> 00:14:30,120 Speaker 1: than five inch heels. 275 00:14:30,600 --> 00:14:31,760 Speaker 3: Yeah, that's true. 276 00:14:32,000 --> 00:14:34,720 Speaker 1: That was it. So what sure if that's what she 277 00:14:34,800 --> 00:14:37,200 Speaker 1: wants to present? And I don't need you to see 278 00:14:37,200 --> 00:14:39,320 Speaker 1: me casual. I don't want you to see me casual. 279 00:14:39,720 --> 00:14:43,000 Speaker 1: That's cool, But I was hoping for those moments and 280 00:14:43,080 --> 00:14:46,480 Speaker 1: every time, even at home, right she's walking just in 281 00:14:46,560 --> 00:14:51,360 Speaker 1: and out of hallways, through golden doors and golden walls, 282 00:14:51,440 --> 00:14:58,120 Speaker 1: and it never looks chill, ever looks chill. And her 283 00:14:58,200 --> 00:15:01,400 Speaker 1: fittings when you're seeing in side the home were happening 284 00:15:01,440 --> 00:15:06,120 Speaker 1: in the same like boardroom with glass behind them to 285 00:15:06,160 --> 00:15:07,840 Speaker 1: where those went on for a. 286 00:15:07,800 --> 00:15:09,880 Speaker 3: While, and there was what will happen? 287 00:15:09,960 --> 00:15:14,840 Speaker 2: Will her lapel be wider or thinner? Where her neckline 288 00:15:14,880 --> 00:15:18,040 Speaker 2: go get tighter and crisper? Will the lines be the 289 00:15:18,040 --> 00:15:23,760 Speaker 2: way she wants them come Inauguration day? Sorry, I'm sorry. 290 00:15:23,880 --> 00:15:29,160 Speaker 1: In this one, however, Melania did have what I think 291 00:15:29,200 --> 00:15:33,320 Speaker 1: and I think we might agree, robes was her most open, 292 00:15:33,520 --> 00:15:38,840 Speaker 1: her sweetest, her most authentic, even moment, we'll explain what 293 00:15:38,960 --> 00:15:43,520 Speaker 1: that was, and we'll explain the demographics of Milania. 294 00:15:43,560 --> 00:15:54,160 Speaker 3: Stay here, Welcome back everyone. 295 00:15:54,400 --> 00:15:57,640 Speaker 2: As TJ and I talk about our time in the 296 00:15:57,640 --> 00:16:01,840 Speaker 2: theater watching the film Milania, and we mentioned, look, this 297 00:16:02,000 --> 00:16:05,000 Speaker 2: was a highly curated and I'm again this is not 298 00:16:05,680 --> 00:16:07,640 Speaker 2: me looking to criticize. 299 00:16:07,760 --> 00:16:09,960 Speaker 3: It was just, babe, can I say this? It was 300 00:16:10,040 --> 00:16:15,600 Speaker 3: just really really boring. It was boring, like there's only 301 00:16:15,680 --> 00:16:19,520 Speaker 3: so many shots of her walking with no dialogue, and 302 00:16:19,560 --> 00:16:23,720 Speaker 3: the only time you hear her voice, she's speaking in. 303 00:16:23,360 --> 00:16:28,640 Speaker 2: A way that appeared to be so forced and so contrived. 304 00:16:28,680 --> 00:16:32,200 Speaker 2: It was poetic even it almost some of the it was. 305 00:16:32,400 --> 00:16:35,400 Speaker 2: It wasn't natural, it wasn't authentic, it wasn't off the cuff. 306 00:16:35,480 --> 00:16:39,240 Speaker 2: It was again, like everything in the film, so highly 307 00:16:39,360 --> 00:16:40,560 Speaker 2: curated and orchestrated. 308 00:16:40,640 --> 00:16:42,880 Speaker 1: Again, if that's what they were going for, they succeeded. 309 00:16:42,920 --> 00:16:45,720 Speaker 1: It's not maybe not our cup of tea. I just 310 00:16:45,760 --> 00:16:48,480 Speaker 1: want to reserve that for everybody else who this was for, 311 00:16:48,800 --> 00:16:51,160 Speaker 1: or like this, or is looking for something like this. 312 00:16:51,640 --> 00:16:53,280 Speaker 1: I was just looking to know, what did you say? 313 00:16:53,360 --> 00:16:57,360 Speaker 1: You just used a great line before the break I 314 00:16:57,520 --> 00:16:59,960 Speaker 1: just it didn't give you anything. 315 00:17:00,240 --> 00:17:02,760 Speaker 3: I wanted to know. I wanted to know who she 316 00:17:03,000 --> 00:17:04,640 Speaker 3: was when the cameras aren't rolling. 317 00:17:04,680 --> 00:17:08,320 Speaker 2: That's what a documentary typically typically is for, so you 318 00:17:08,359 --> 00:17:10,800 Speaker 2: actually get to see and get to know someone and 319 00:17:11,000 --> 00:17:13,600 Speaker 2: you know, you literally pull the curtains back. That did 320 00:17:13,600 --> 00:17:16,679 Speaker 2: not happen in this There was one moment when she 321 00:17:17,000 --> 00:17:19,600 Speaker 2: and President Trump came down off of one of the 322 00:17:19,600 --> 00:17:22,840 Speaker 2: balls on the inauguration night and she had that beautiful 323 00:17:22,840 --> 00:17:25,080 Speaker 2: white and black dress. You'll get to see how it 324 00:17:25,160 --> 00:17:27,639 Speaker 2: was made and everything that want into making that dress, 325 00:17:27,680 --> 00:17:30,280 Speaker 2: if you're interested. And when she came off the stage, 326 00:17:30,320 --> 00:17:34,240 Speaker 2: they were playing Ymca and she was doing the little 327 00:17:34,320 --> 00:17:37,119 Speaker 2: dance and shaking her hips and giggling, and it was 328 00:17:37,160 --> 00:17:40,960 Speaker 2: the only time that we saw her actually kind of 329 00:17:41,200 --> 00:17:43,479 Speaker 2: let her hair down, so to speak, and show a 330 00:17:43,480 --> 00:17:49,040 Speaker 2: little personality that wasn't thought through and perfectly executed. 331 00:17:49,200 --> 00:17:50,920 Speaker 1: Well, you're right, it was cute. It was you said 332 00:17:50,920 --> 00:17:53,080 Speaker 1: she was giggling a little bit. She was cute, Well 333 00:17:53,119 --> 00:17:54,960 Speaker 1: like she was the first time in the film, having 334 00:17:55,000 --> 00:17:55,440 Speaker 1: a good time. 335 00:17:55,560 --> 00:17:57,719 Speaker 2: And I think that's when I thought, what a missed opportunity. 336 00:17:57,880 --> 00:18:00,480 Speaker 2: Not that you want to have your first lady and 337 00:18:00,520 --> 00:18:02,919 Speaker 2: being silly. I'm not suggesting that, but just getting to 338 00:18:02,960 --> 00:18:06,320 Speaker 2: see and know her personality beyond this. I have a 339 00:18:06,359 --> 00:18:09,120 Speaker 2: speech and I'm reading exactly what the speech writers told 340 00:18:09,119 --> 00:18:13,920 Speaker 2: me to say. I wanted to see the person behind 341 00:18:14,000 --> 00:18:16,360 Speaker 2: the first lady, and that was one small glimpse, you know. 342 00:18:16,320 --> 00:18:19,560 Speaker 1: What the other if that was one small glimpse the 343 00:18:19,600 --> 00:18:22,439 Speaker 1: other highlight for me Robes And I don't know if 344 00:18:22,440 --> 00:18:25,520 Speaker 1: this story had been out there, but during the inauguration, 345 00:18:25,920 --> 00:18:28,720 Speaker 1: there was a moment that happened between President Trump and 346 00:18:29,000 --> 00:18:31,679 Speaker 1: Malania Trump as he was making his speech. Now, if 347 00:18:31,680 --> 00:18:34,399 Speaker 1: you caught it, he's just kind of paused for a 348 00:18:34,440 --> 00:18:36,720 Speaker 1: moment and looked back at her and kind of pointed 349 00:18:37,200 --> 00:18:39,000 Speaker 1: after he had delivered a line, and she kind of 350 00:18:39,040 --> 00:18:42,479 Speaker 1: smiled back. We see in the documentary Robes where that 351 00:18:42,600 --> 00:18:44,880 Speaker 1: came from. I thought that was kind of cool. 352 00:18:44,960 --> 00:18:45,680 Speaker 3: It was really cute. 353 00:18:45,720 --> 00:18:50,040 Speaker 2: They had a rehearsal basically of the President giving his speech, 354 00:18:50,160 --> 00:18:53,840 Speaker 2: and she suggested a change in one of the lines, 355 00:18:54,400 --> 00:18:56,600 Speaker 2: and so she kind of interrupted and said, I think 356 00:18:56,600 --> 00:18:59,040 Speaker 2: you should say this, and so you see him then 357 00:19:00,080 --> 00:19:03,320 Speaker 2: cut to his speech and he says the phrase that 358 00:19:03,440 --> 00:19:06,720 Speaker 2: she suggested, and he looked back at her appointed. That 359 00:19:07,040 --> 00:19:09,280 Speaker 2: was sweet, and I just that's what. If there were 360 00:19:09,320 --> 00:19:11,679 Speaker 2: more of those moments that it would have carried the 361 00:19:11,680 --> 00:19:13,240 Speaker 2: film to a completely different place. 362 00:19:13,960 --> 00:19:17,160 Speaker 1: That was cool. I just that was sweet. She got 363 00:19:17,200 --> 00:19:22,119 Speaker 1: something into his all important inauguration speech, and he acknowledged 364 00:19:22,119 --> 00:19:24,919 Speaker 1: in that moment he stopped and gave her credit. It 365 00:19:24,960 --> 00:19:27,280 Speaker 1: was two words, I think something. Yes, it was like unifying, 366 00:19:27,440 --> 00:19:30,439 Speaker 1: unifying peace or something. Yeah, and gave a credit. So 367 00:19:30,520 --> 00:19:34,240 Speaker 1: that was something at least that we got. Now, we 368 00:19:34,240 --> 00:19:38,119 Speaker 1: talked about folks try to report that they're empty theaters. However, 369 00:19:38,400 --> 00:19:42,280 Speaker 1: theaters in places like Dallas, Orlando, Tampa, Phoenix, West Palm Beach. 370 00:19:42,320 --> 00:19:44,520 Speaker 1: I think those were the top five markets and robes. 371 00:19:44,560 --> 00:19:47,600 Speaker 1: We said, not a lot of people in our theater, 372 00:19:47,720 --> 00:19:49,159 Speaker 1: but the ones that were in there seemed to go 373 00:19:49,200 --> 00:19:50,880 Speaker 1: along with the demographic information. 374 00:19:50,960 --> 00:19:53,040 Speaker 2: Yeah, with white women over the age of forty, you 375 00:19:53,080 --> 00:19:55,119 Speaker 2: were the only man and the only black person in 376 00:19:55,160 --> 00:20:01,080 Speaker 2: the theater. Seventy two of theatergoers were women, three percent 377 00:20:01,160 --> 00:20:03,920 Speaker 2: were over the age of forty five, and seventy five 378 00:20:03,920 --> 00:20:04,720 Speaker 2: percent were white. 379 00:20:05,080 --> 00:20:06,320 Speaker 3: That totally reads. 380 00:20:06,760 --> 00:20:11,040 Speaker 2: So we mentioned the cities in which this film has 381 00:20:11,080 --> 00:20:14,440 Speaker 2: done gangbusters. I did want to point out because I 382 00:20:14,480 --> 00:20:18,520 Speaker 2: thought this was quite funny, because sometimes you just have 383 00:20:18,600 --> 00:20:20,600 Speaker 2: to be able to take a joke. But an Oregon, 384 00:20:21,320 --> 00:20:26,119 Speaker 2: there is a theater that look and it's Oregon, right, yeah, 385 00:20:26,200 --> 00:20:30,640 Speaker 2: just you know the state and where they typically stand politically, 386 00:20:30,680 --> 00:20:36,480 Speaker 2: and so so a theater there decided to try and 387 00:20:36,600 --> 00:20:40,120 Speaker 2: draw people in with some creative marketing and knowing their audience. 388 00:20:40,760 --> 00:20:44,119 Speaker 2: So one of the messages on the films or the 389 00:20:44,119 --> 00:20:48,560 Speaker 2: cinema's marquee said, does Milania wear Prada? Find out on Friday? 390 00:20:49,200 --> 00:20:51,720 Speaker 2: That's funny, it's not bad. That's funny does not mean 391 00:20:52,119 --> 00:20:57,520 Speaker 2: that's not bad. And then another message to advertise the film, 392 00:20:57,720 --> 00:20:59,840 Speaker 2: to defeat your enemy, you must know them. 393 00:21:00,040 --> 00:21:01,320 Speaker 3: Malania starts Friday. 394 00:21:01,520 --> 00:21:02,800 Speaker 1: It's somebody I had the sense of humor. 395 00:21:02,880 --> 00:21:05,720 Speaker 2: It's okay, so it's funny, but guess what, it was 396 00:21:05,840 --> 00:21:08,560 Speaker 2: not funny to Amazon's studio Amazon. 397 00:21:08,680 --> 00:21:12,000 Speaker 3: So Amazon pulled the film, pulled the film from. 398 00:21:11,920 --> 00:21:16,480 Speaker 2: That cinema, and then so this was then what they 399 00:21:16,480 --> 00:21:20,160 Speaker 2: put up on the marquee. Amazon called our marquee made 400 00:21:20,200 --> 00:21:23,679 Speaker 2: them mad. All Milania's showings canceled. Show your support at 401 00:21:23,680 --> 00:21:24,680 Speaker 2: Whole Foods instead. 402 00:21:26,880 --> 00:21:28,560 Speaker 1: Somebody Humor. 403 00:21:28,920 --> 00:21:32,520 Speaker 2: That book is hilarious without being mean. Again, they know 404 00:21:32,640 --> 00:21:34,640 Speaker 2: their audience, they know their community. 405 00:21:34,720 --> 00:21:36,560 Speaker 1: You're not being mean. And then the other time, I 406 00:21:36,600 --> 00:21:40,479 Speaker 1: can't take a joke. Can't take a joke? Isn't that 407 00:21:40,720 --> 00:21:43,000 Speaker 1: the best way if you know your audience to get 408 00:21:43,040 --> 00:21:43,560 Speaker 1: them in here? 409 00:21:43,840 --> 00:21:48,200 Speaker 2: And couldn't Amazon have said, clever marketing will take whoever 410 00:21:48,240 --> 00:21:49,480 Speaker 2: wants to see Milania. 411 00:21:49,560 --> 00:21:51,080 Speaker 3: The more people who see it, the better. 412 00:21:51,359 --> 00:21:52,200 Speaker 1: Can't take a joke. 413 00:21:52,400 --> 00:21:54,840 Speaker 2: Couldn't Amazon have just said that? That would have been 414 00:21:55,320 --> 00:22:00,160 Speaker 2: a smart reaction. There was an again, another opportunity there. 415 00:22:00,240 --> 00:22:03,359 Speaker 2: There's an opportunity to not take yourself so seriously and 416 00:22:03,400 --> 00:22:07,240 Speaker 2: to have a little fun with the reality of trying 417 00:22:07,280 --> 00:22:09,480 Speaker 2: to show Milania in Oregon. 418 00:22:11,119 --> 00:22:15,200 Speaker 1: Take my movie and go home. Oh goodness, I wanted 419 00:22:15,200 --> 00:22:18,359 Speaker 1: to lead this last one here. This was I think, 420 00:22:18,400 --> 00:22:21,800 Speaker 1: not a mean one, but this was one of the 421 00:22:21,840 --> 00:22:25,840 Speaker 1: best ways I heard people sum up what this movie 422 00:22:26,160 --> 00:22:27,520 Speaker 1: is without being mean. 423 00:22:27,680 --> 00:22:29,840 Speaker 3: Ropes, Yes, it reads. 424 00:22:30,240 --> 00:22:34,520 Speaker 2: No good impression emerges of the former Slovenian model. No 425 00:22:34,680 --> 00:22:38,800 Speaker 2: bad impression emerges either. Radner's film achieves rather a sort 426 00:22:38,800 --> 00:22:42,199 Speaker 2: of passive distance, as you might get by pointing a 427 00:22:42,240 --> 00:22:46,080 Speaker 2: camera for close to two hours at a waterfall or 428 00:22:46,119 --> 00:22:46,959 Speaker 2: a wheat field. 429 00:22:47,880 --> 00:22:51,840 Speaker 3: That's spot on, right, spot on, get. 430 00:22:51,840 --> 00:22:55,240 Speaker 1: Up close to it. You're just watching this thing happen 431 00:22:55,359 --> 00:22:58,320 Speaker 1: in front of you. It's a pretty picture, it's great. 432 00:22:58,440 --> 00:23:01,119 Speaker 1: Look at it for a while, but you walk away 433 00:23:01,160 --> 00:23:06,000 Speaker 1: with what an understanding and insight? Nothing that and again 434 00:23:06,160 --> 00:23:10,879 Speaker 1: that thing, no good impression, no bad impression emerges. Nothing, 435 00:23:11,960 --> 00:23:14,920 Speaker 1: And that's too bad. I wanted to know, so I 436 00:23:14,960 --> 00:23:16,639 Speaker 1: really did want. 437 00:23:16,400 --> 00:23:18,919 Speaker 3: To know more about it, and I do, and I 438 00:23:19,119 --> 00:23:19,800 Speaker 3: and so did I. 439 00:23:19,920 --> 00:23:21,640 Speaker 2: You and I both have said that, and I think 440 00:23:22,000 --> 00:23:25,000 Speaker 2: even after reading the bad reviews, I was still surprised 441 00:23:25,240 --> 00:23:26,879 Speaker 2: at how boring it was. 442 00:23:29,960 --> 00:23:34,840 Speaker 1: She gets her steps in with that, Folks, check it 443 00:23:34,840 --> 00:23:37,800 Speaker 1: out by all means see for yourselves. And with that, 444 00:23:37,880 --> 00:23:40,560 Speaker 1: I am TJ. Holmes. Always appreciate your spending some time 445 00:23:40,600 --> 00:23:42,520 Speaker 1: with us, with my dear Amy Robot, talk to y'lson,