1 00:00:00,240 --> 00:00:02,360 Speaker 1: Hey, guys, thanks for listening to Breaking Points with Crystal 2 00:00:02,360 --> 00:00:04,280 Speaker 1: and Sager. We're going to be totally upfront with you. 3 00:00:04,400 --> 00:00:07,240 Speaker 1: We took a big risk going independent to make this work. 4 00:00:07,320 --> 00:00:11,920 Speaker 1: We need your support to beat the corporate media CNN, Fox, MSNBC. 5 00:00:12,240 --> 00:00:15,800 Speaker 1: They are ripping this country apart. They are making millions 6 00:00:15,800 --> 00:00:18,400 Speaker 1: of dollars doing it to help support our mission of 7 00:00:18,440 --> 00:00:20,720 Speaker 1: making all of us hate each other, less hate the 8 00:00:20,760 --> 00:00:24,000 Speaker 1: corrupt ruling class more support the show. Become a Breaking 9 00:00:24,040 --> 00:00:26,560 Speaker 1: Points Premium Member today, where you get to watch and 10 00:00:26,680 --> 00:00:29,640 Speaker 1: listen to the entire show ad free and uncut, an 11 00:00:29,680 --> 00:00:32,479 Speaker 1: hour early before everyone else. You get to hear our 12 00:00:32,479 --> 00:00:35,360 Speaker 1: reactions to each other's monologues. You get to participate and 13 00:00:35,400 --> 00:00:37,960 Speaker 1: weekly ask me any things, and you don't need to 14 00:00:38,000 --> 00:00:41,080 Speaker 1: hear our annoying voices pitching you like I am right now, 15 00:00:41,159 --> 00:00:43,320 Speaker 1: So what are you waiting for? Go to Breakingpoints dot 16 00:00:43,360 --> 00:00:46,120 Speaker 1: com become a Premium member today, which is available in 17 00:00:46,159 --> 00:00:50,320 Speaker 1: the show notes. Enjoy the show, guys. All right, guys, 18 00:00:50,400 --> 00:00:55,160 Speaker 1: we have achieved a major milestone. It has officially been 19 00:00:55,560 --> 00:00:58,680 Speaker 1: six months since the launch of Breaking Points and the 20 00:00:58,800 --> 00:01:04,160 Speaker 1: revealing of great beautiful Desk and our lovely fake brick 21 00:01:04,240 --> 00:01:07,840 Speaker 1: wall and the bookshelves. Actually really like these bookshelves. I 22 00:01:07,840 --> 00:01:10,319 Speaker 1: love these bookshelves. You found bookshelves for myself. You found them. 23 00:01:10,360 --> 00:01:13,000 Speaker 1: They're pretty fancy. So anyway, we just wanted to take 24 00:01:13,000 --> 00:01:15,520 Speaker 1: a minute to tell you a little bit about the 25 00:01:15,560 --> 00:01:18,160 Speaker 1: milestones you've helped us achieve, and also just to say 26 00:01:18,400 --> 00:01:21,000 Speaker 1: thank you, because it is very easy for me to 27 00:01:21,040 --> 00:01:23,320 Speaker 1: think back to when we were stepping out on our 28 00:01:23,360 --> 00:01:26,039 Speaker 1: own and how scared we were and nervous because we 29 00:01:26,080 --> 00:01:28,200 Speaker 1: had no idea if it was really going to work out, 30 00:01:28,560 --> 00:01:30,319 Speaker 1: and you guys have been there for us in a 31 00:01:30,360 --> 00:01:33,120 Speaker 1: way that we really literally never could have imagined. So 32 00:01:33,560 --> 00:01:36,280 Speaker 1: thank you, thank you, thank you. We never in a 33 00:01:36,319 --> 00:01:38,920 Speaker 1: million years thought that it would work out like this. 34 00:01:39,160 --> 00:01:41,440 Speaker 1: And just to give you guys insight into how it's 35 00:01:41,480 --> 00:01:45,560 Speaker 1: worked out, we've had one hundred million views on YouTube 36 00:01:45,680 --> 00:01:49,360 Speaker 1: since we've watched, which truly I can't even wrap I 37 00:01:49,400 --> 00:01:51,680 Speaker 1: literally can't wrap my head around. We have never dropped 38 00:01:51,680 --> 00:01:55,520 Speaker 1: below since launch day number five on the Spotify Politics 39 00:01:55,600 --> 00:01:59,480 Speaker 1: chart for podcasts. Often we are at number one, beating 40 00:01:59,560 --> 00:02:03,919 Speaker 1: the New York Times, Ben Shapiro, all of those INPR 41 00:02:04,400 --> 00:02:06,520 Speaker 1: I mean, sometimes I look at the chart and I 42 00:02:06,560 --> 00:02:09,560 Speaker 1: can't even believe it because it's US, and then corporate media, 43 00:02:09,600 --> 00:02:11,560 Speaker 1: corporate media, corporate media, and like Ben Shapiro, Yeah, and 44 00:02:11,600 --> 00:02:13,880 Speaker 1: it's like, oh my god, I mean, spend a lot 45 00:02:13,880 --> 00:02:15,440 Speaker 1: of money on marketing too. We spent a lot of 46 00:02:15,480 --> 00:02:17,960 Speaker 1: money on marketing. And also it's been around for like 47 00:02:18,120 --> 00:02:21,760 Speaker 1: fifteen years. It's like we've been here for just six months, 48 00:02:21,800 --> 00:02:25,640 Speaker 1: six hundred and fifty six thousand subscribers on our channel, 49 00:02:26,000 --> 00:02:29,760 Speaker 1: and it's just amazing to see those benchmarks. What they 50 00:02:29,800 --> 00:02:32,960 Speaker 1: really reflect is how well and how amazing the show 51 00:02:32,960 --> 00:02:36,200 Speaker 1: has been received by so many of you who helped 52 00:02:36,240 --> 00:02:38,400 Speaker 1: us get here. We could not have built this set 53 00:02:38,639 --> 00:02:42,720 Speaker 1: without your support. We fully upgraded our studio here four 54 00:02:42,800 --> 00:02:45,680 Speaker 1: K cameras, We have new audio equipment here so that 55 00:02:45,800 --> 00:02:48,320 Speaker 1: more people can actually join us here on the set. 56 00:02:48,480 --> 00:02:51,480 Speaker 1: This is the only four K camera. Yes, that's what 57 00:02:51,480 --> 00:02:53,639 Speaker 1: they tell us. See, that's what the one. What they 58 00:02:53,639 --> 00:02:56,040 Speaker 1: tell us is that we're one of the most advanced 59 00:02:56,080 --> 00:03:00,160 Speaker 1: actually studios in the entire city. We have plans in 60 00:03:00,240 --> 00:03:03,640 Speaker 1: order to bring some more people on, expand the coverage, 61 00:03:03,919 --> 00:03:06,800 Speaker 1: make it so that we can cover the midterms exactly 62 00:03:06,880 --> 00:03:10,040 Speaker 1: the way that should be covered. That we'll have and 63 00:03:10,080 --> 00:03:12,360 Speaker 1: tell people the stories that are actually not being there, 64 00:03:12,680 --> 00:03:15,680 Speaker 1: like the amount that we are able to invest and 65 00:03:15,760 --> 00:03:18,800 Speaker 1: to bring you guys as much as we possibly can. 66 00:03:19,080 --> 00:03:21,000 Speaker 1: You have no idea how much it means. But also 67 00:03:21,040 --> 00:03:23,400 Speaker 1: we're really just getting started. So look, if you can 68 00:03:23,400 --> 00:03:26,600 Speaker 1: support us, help us get more YouTube subscribers, hit the 69 00:03:26,639 --> 00:03:29,240 Speaker 1: subscribe button there. I would love to hit one million 70 00:03:29,440 --> 00:03:30,919 Speaker 1: by the end of the year. I think it took 71 00:03:30,960 --> 00:03:33,480 Speaker 1: us twenty months when we were at the Hill in 72 00:03:33,560 --> 00:03:35,600 Speaker 1: order to hit one million, So if we could do 73 00:03:35,640 --> 00:03:38,760 Speaker 1: it in under a year, that would be amazing. Yeah, 74 00:03:38,800 --> 00:03:41,160 Speaker 1: we had a little bit of a better algorithm and 75 00:03:41,200 --> 00:03:44,000 Speaker 1: more better monetization, but look, at least we own it. 76 00:03:44,000 --> 00:03:46,080 Speaker 1: It is one undred percent hours and in many ways 77 00:03:46,120 --> 00:03:49,600 Speaker 1: it's one hundred percent of yours. What else, subscribe rate 78 00:03:49,680 --> 00:03:52,600 Speaker 1: whatever on the podcast. If you can't help us with 79 00:03:52,680 --> 00:03:56,160 Speaker 1: the premium membership, the link is in the description. Really 80 00:03:56,160 --> 00:03:58,360 Speaker 1: what it is is that, and we really are meaning this. 81 00:03:58,520 --> 00:04:01,520 Speaker 1: We are using the money or to invest into the business. 82 00:04:01,520 --> 00:04:03,840 Speaker 1: As you can see all around us, we have how 83 00:04:03,880 --> 00:04:06,360 Speaker 1: many people do we have on staff? We've got I 84 00:04:06,400 --> 00:04:12,360 Speaker 1: think seven eight? Yeah, yeah, okay, had seven or eight. 85 00:04:12,600 --> 00:04:15,840 Speaker 1: I'll just peek behind the curtain opening the kimono, Like, 86 00:04:15,880 --> 00:04:18,960 Speaker 1: we have eight people on the payroll producing this show 87 00:04:19,200 --> 00:04:21,640 Speaker 1: every single day to the highest standards that we can 88 00:04:21,839 --> 00:04:25,400 Speaker 1: muster the graphics a producer in order to pull this 89 00:04:25,440 --> 00:04:27,560 Speaker 1: stuff and look out for stories and help us book. 90 00:04:27,680 --> 00:04:29,880 Speaker 1: We have multiple people in the control room. I mean, 91 00:04:29,960 --> 00:04:32,560 Speaker 1: I remember at the beginning of the show they were 92 00:04:32,560 --> 00:04:34,719 Speaker 1: complaining about the audio and we were like, okay, we 93 00:04:34,760 --> 00:04:36,520 Speaker 1: have to hire an audio person and at an audio 94 00:04:36,520 --> 00:04:39,159 Speaker 1: person in the studio every single day, and we've even 95 00:04:39,240 --> 00:04:43,320 Speaker 1: upgraded that the board on which the entire show is run. 96 00:04:43,560 --> 00:04:45,480 Speaker 1: I know this is mundane stuff, but this is what 97 00:04:45,520 --> 00:04:48,479 Speaker 1: it really means to run a high end video production 98 00:04:48,600 --> 00:04:51,039 Speaker 1: business here in Washington. We just want you guys to 99 00:04:51,080 --> 00:04:53,240 Speaker 1: know that we're continuing to try to think of ways 100 00:04:53,320 --> 00:04:57,120 Speaker 1: not only to improve the production quality, but also to 101 00:04:57,200 --> 00:05:01,359 Speaker 1: continue to add value on the content side. And so 102 00:05:01,800 --> 00:05:04,200 Speaker 1: you know, the partnership with the Daily Poster is a 103 00:05:04,200 --> 00:05:06,239 Speaker 1: good preview of the source of things that we're thinking about. 104 00:05:06,279 --> 00:05:08,960 Speaker 1: People who we really trust, who can bring you know, 105 00:05:09,080 --> 00:05:11,279 Speaker 1: exclusive content to you guys that you're not going to 106 00:05:11,279 --> 00:05:14,840 Speaker 1: see mainstream anywhere else. That's really the sort of things 107 00:05:14,880 --> 00:05:17,800 Speaker 1: that we're thinking through right now to make sure that 108 00:05:18,040 --> 00:05:20,000 Speaker 1: you know day to day, but also as we head 109 00:05:20,040 --> 00:05:24,400 Speaker 1: into the midterm elections, that our content is second to none, 110 00:05:24,800 --> 00:05:27,479 Speaker 1: that you guys are really getting the best picture you 111 00:05:27,560 --> 00:05:30,120 Speaker 1: possibly can of what's going on in our politics and 112 00:05:30,160 --> 00:05:33,800 Speaker 1: in our country writ large. So that's what we're thinking about. 113 00:05:34,120 --> 00:05:37,400 Speaker 1: That's what we're grateful for this holiday season is you guys. 114 00:05:37,520 --> 00:05:40,560 Speaker 1: We get asked all the time, what why do we 115 00:05:40,600 --> 00:05:44,120 Speaker 1: continue to, you know, have any optimism or over the country, 116 00:05:44,240 --> 00:05:48,599 Speaker 1: And it really is you all, because something that is 117 00:05:48,640 --> 00:05:52,919 Speaker 1: so unique about this show is we really genuinely have 118 00:05:53,080 --> 00:05:57,800 Speaker 1: listeners and viewers from every corner of the political spectrum. 119 00:05:57,800 --> 00:05:59,479 Speaker 1: Oh yeah, truly. Were you looking at some of those 120 00:05:59,480 --> 00:06:02,880 Speaker 1: people's If I rapped who tagged us? So I went 121 00:06:02,880 --> 00:06:05,320 Speaker 1: through all my Instagram mentions and all the people in 122 00:06:05,360 --> 00:06:08,960 Speaker 1: their Spotify rapped it would be like breaking points and 123 00:06:09,000 --> 00:06:13,360 Speaker 1: then like Choppo trap House, breaking points, Ben Shapiro, Yeah, 124 00:06:13,480 --> 00:06:18,200 Speaker 1: breaking points, Tim Billen, breaking points some like Amy Schumer 125 00:06:18,400 --> 00:06:21,120 Speaker 1: something you know, like you people are. It's all all 126 00:06:21,120 --> 00:06:23,920 Speaker 1: over that and you can see it too on YouTube. 127 00:06:23,920 --> 00:06:26,599 Speaker 1: They'll tell you, like what other channels people are watching 128 00:06:26,640 --> 00:06:29,920 Speaker 1: other than yours, And it's like it's all. It's also 129 00:06:29,960 --> 00:06:35,000 Speaker 1: it's like Rogan, it's Jimmy Door, it's Ben Shapiro's I 130 00:06:35,040 --> 00:06:40,120 Speaker 1: mean it really is. Yeah, it's also sadly still the Hill, 131 00:06:40,120 --> 00:06:42,960 Speaker 1: which the Hill cringe, I do. Ryan's a good guy. 132 00:06:43,040 --> 00:06:46,039 Speaker 1: Ryan's great. Yeah, Emily is great. Right, we love no 133 00:06:46,120 --> 00:06:48,120 Speaker 1: Will Will. Yeah, it's all good. Yeah, it's all good. 134 00:06:48,160 --> 00:06:51,240 Speaker 1: But anyway, so it truly is across the spectrum. We 135 00:06:51,240 --> 00:06:53,200 Speaker 1: get messages all the time from people who are like, 136 00:06:53,279 --> 00:06:56,359 Speaker 1: this is my political persuasion. We're like, and you like us, Yeah, okay, 137 00:06:56,360 --> 00:07:00,000 Speaker 1: I'm like, okay, sure. Cool to the fact that that's 138 00:06:59,760 --> 00:07:02,480 Speaker 1: possible in America. I think it's something no one would 139 00:07:02,480 --> 00:07:05,680 Speaker 1: have believed. Do you remember the evangelical pastor who wrote 140 00:07:05,720 --> 00:07:08,000 Speaker 1: in and asked us to not curse during the show, 141 00:07:08,040 --> 00:07:12,080 Speaker 1: And I was like, you watch it. Another guy who's like, hey, 142 00:07:12,080 --> 00:07:14,000 Speaker 1: I'm Mormon and you know I have nine kids or 143 00:07:14,040 --> 00:07:16,480 Speaker 1: whatever in my house and he's like, please don't curse 144 00:07:16,600 --> 00:07:19,440 Speaker 1: because I put you on the big screen. I was like, wow, okay, 145 00:07:19,680 --> 00:07:22,520 Speaker 1: I never would have imagined somebody like that watching. Yeah. Yeah, hey, 146 00:07:22,640 --> 00:07:25,720 Speaker 1: it's all good. Yeah, we love that. You really take 147 00:07:25,720 --> 00:07:27,520 Speaker 1: pride in that because we know that we're going to 148 00:07:27,560 --> 00:07:30,559 Speaker 1: say things. If that's your ideological persuasion it's not like ours, 149 00:07:30,600 --> 00:07:32,240 Speaker 1: then we know we're going to say things that are 150 00:07:32,240 --> 00:07:34,280 Speaker 1: probably going to irritate you, and you stick with that anyway. 151 00:07:34,400 --> 00:07:37,600 Speaker 1: So to me, that is a really good and healthy 152 00:07:37,640 --> 00:07:42,200 Speaker 1: thing for you know, the community of breaking points, but 153 00:07:42,240 --> 00:07:43,920 Speaker 1: also for the country at large. If we could have 154 00:07:44,000 --> 00:07:46,200 Speaker 1: more of that, things might be a little better out there. 155 00:07:46,600 --> 00:07:48,560 Speaker 1: Thank you guys so much. It means the world. Love 156 00:07:48,600 --> 00:07:53,280 Speaker 1: you guys. We'll see you soon. Joining us now for 157 00:07:53,360 --> 00:07:56,040 Speaker 1: our weekly partnership with the Daily Poster. We have a 158 00:07:56,080 --> 00:07:58,440 Speaker 1: reporter for that outlet, Walker Bragman, who is out with 159 00:07:58,520 --> 00:08:00,760 Speaker 1: a great news story. Great to have you, Walk Chris Man. 160 00:08:00,840 --> 00:08:03,440 Speaker 1: Thanks for having thanks for having me on. Yeah, our pleasure. 161 00:08:03,560 --> 00:08:05,080 Speaker 1: Let's go and throw the tear sheet up on the 162 00:08:05,120 --> 00:08:08,920 Speaker 1: screen here, quotas is time to get back to the office. 163 00:08:09,040 --> 00:08:12,160 Speaker 1: Facing a primary challenger in courting real estate interest, New 164 00:08:12,200 --> 00:08:15,720 Speaker 1: York Governor Kathy Hochel is pushing to end remote work. 165 00:08:15,760 --> 00:08:19,040 Speaker 1: Just break down for us what you found here, so uh. 166 00:08:19,160 --> 00:08:23,320 Speaker 1: Interim Governor Hochel has been pushing for the for really 167 00:08:23,360 --> 00:08:26,720 Speaker 1: since since the start of the month or last month, 168 00:08:27,120 --> 00:08:29,840 Speaker 1: to end remote work in New York. Now, she she's 169 00:08:29,880 --> 00:08:33,200 Speaker 1: not laid out any concrete actions that she's going to take, 170 00:08:33,240 --> 00:08:37,360 Speaker 1: but she is encouraging employers to bring people back. Now, 171 00:08:37,400 --> 00:08:42,760 Speaker 1: what's interesting is that that push was happening simultaneously with 172 00:08:43,200 --> 00:08:47,280 Speaker 1: a surge in COVID cases. And I mean that that 173 00:08:47,400 --> 00:08:49,520 Speaker 1: to me stood out like that doesn't make sense. Why 174 00:08:49,520 --> 00:08:52,439 Speaker 1: are we Why are we encouraged? Why are why are 175 00:08:52,440 --> 00:08:55,600 Speaker 1: we not encouraging remote work at a time when you 176 00:08:55,640 --> 00:08:59,160 Speaker 1: know there's still a very real risk. Now, admittedly a 177 00:08:59,160 --> 00:09:02,480 Speaker 1: lot of people in New York City are vaccinated, but 178 00:09:02,559 --> 00:09:05,440 Speaker 1: that does not necessarily mean that the virus can't spread 179 00:09:05,559 --> 00:09:08,080 Speaker 1: or that there aren't people who are vulnerable. And I 180 00:09:08,240 --> 00:09:11,559 Speaker 1: tend to be of the mind that public policy should 181 00:09:11,679 --> 00:09:14,600 Speaker 1: factor in the most vulnerable, and this pandemic will not 182 00:09:14,679 --> 00:09:19,160 Speaker 1: be over until it's over for you know, those people. 183 00:09:20,679 --> 00:09:22,720 Speaker 1: And Walker, one of the things you're pointing to here 184 00:09:22,840 --> 00:09:26,319 Speaker 1: is that the real estate industry in particular is pressuring 185 00:09:26,800 --> 00:09:30,000 Speaker 1: Kathy Hokel very hard. What did you find in terms 186 00:09:30,000 --> 00:09:33,720 Speaker 1: of the financial connections here behind what she's pushing. So, 187 00:09:34,160 --> 00:09:38,120 Speaker 1: Hokel has has long been supported by commercial real estate interests. 188 00:09:38,640 --> 00:09:42,120 Speaker 1: But what's interesting here is that she's facing a primary 189 00:09:42,240 --> 00:09:47,880 Speaker 1: challenge from New York's Attorney General, Letitia James, and James 190 00:09:47,920 --> 00:09:51,040 Speaker 1: got a lot of real estate money too during her 191 00:09:51,200 --> 00:09:53,280 Speaker 1: during her run. So the industry, I guess, is sort 192 00:09:53,280 --> 00:09:56,440 Speaker 1: of up for grabs or maybe up for grabs. Uh. 193 00:09:56,800 --> 00:10:00,199 Speaker 1: And so this this position does track with an industry 194 00:10:00,240 --> 00:10:03,520 Speaker 1: goal of getting everybody back into offices because the pandemic 195 00:10:03,559 --> 00:10:06,959 Speaker 1: has seen a massive decline in the amount of office 196 00:10:06,960 --> 00:10:13,760 Speaker 1: space that companies need, so that hurts, that hurts property values, 197 00:10:13,840 --> 00:10:16,880 Speaker 1: and it is in their interest to get people back 198 00:10:16,920 --> 00:10:21,600 Speaker 1: to normal or the pre pandemic normal. Yeah, that was 199 00:10:22,280 --> 00:10:24,120 Speaker 1: the part that was really revealing to me because I 200 00:10:24,120 --> 00:10:28,080 Speaker 1: actually hadn't thought through the fact that anyone who has 201 00:10:28,200 --> 00:10:31,680 Speaker 1: real estate interests commercial real estate interests are very much 202 00:10:31,720 --> 00:10:35,080 Speaker 1: interested in getting people back in the office because otherwise 203 00:10:35,080 --> 00:10:37,160 Speaker 1: there just isn't as much demand for your properties and 204 00:10:37,200 --> 00:10:39,280 Speaker 1: you're not going to be able to command as higher prices. 205 00:10:39,760 --> 00:10:41,640 Speaker 1: So a lot of you've seen a lot of sort 206 00:10:41,679 --> 00:10:45,480 Speaker 1: of CNBC types making this push too, making the case 207 00:10:45,480 --> 00:10:47,920 Speaker 1: set up people really need to be back in productivity 208 00:10:48,000 --> 00:10:50,440 Speaker 1: is better. But we didn't actually find during the pandemic 209 00:10:50,440 --> 00:10:53,160 Speaker 1: when people, when white collar workers were working from home 210 00:10:53,559 --> 00:10:57,440 Speaker 1: that they were any less productive. So what is the 211 00:10:57,480 --> 00:11:00,680 Speaker 1: real case even once I mean to me, even once 212 00:11:00,679 --> 00:11:03,080 Speaker 1: we are beyond the pandemic, if we ever, you know, 213 00:11:03,120 --> 00:11:06,000 Speaker 1: get to that point, I think people have enjoyed in 214 00:11:06,000 --> 00:11:09,040 Speaker 1: some respects having the flexibility to work from home or 215 00:11:09,080 --> 00:11:12,280 Speaker 1: move out of New York into other cities and have 216 00:11:12,400 --> 00:11:15,760 Speaker 1: more flexibility within their lives. Look, I think it was 217 00:11:15,800 --> 00:11:19,200 Speaker 1: a game changer, honestly in this and how work is 218 00:11:19,280 --> 00:11:21,679 Speaker 1: going to be done. And I think we're sort of 219 00:11:21,760 --> 00:11:24,560 Speaker 1: pushing against the you know, the tide, and it's it's 220 00:11:24,559 --> 00:11:30,680 Speaker 1: somewhat futile. That said, look, I do think that this 221 00:11:30,880 --> 00:11:33,480 Speaker 1: all sort of stems from the same place that there 222 00:11:33,559 --> 00:11:37,520 Speaker 1: is this mentality in this country that business interests are 223 00:11:37,559 --> 00:11:40,319 Speaker 1: more important than human lives. And we have seen that 224 00:11:40,840 --> 00:11:44,160 Speaker 1: on display throughout the pandemic. Not just not just from 225 00:11:44,200 --> 00:11:47,120 Speaker 1: employers who want their employees back, who are calling their 226 00:11:47,160 --> 00:11:50,360 Speaker 1: employees back, or from commercial real estate interests who are 227 00:11:50,480 --> 00:11:55,200 Speaker 1: who are who are funding or lobbying politicians or or 228 00:11:56,040 --> 00:11:59,319 Speaker 1: to bring to you know, push these back to work policies. 229 00:11:59,640 --> 00:12:03,680 Speaker 1: But I'm the federal government too. I mean, our refusal 230 00:12:03,800 --> 00:12:08,680 Speaker 1: to adopt an elimination strategy has led to hundreds of 231 00:12:08,720 --> 00:12:12,959 Speaker 1: thousands of American debts, and these waves, the continued ongoing 232 00:12:13,000 --> 00:12:15,600 Speaker 1: waves of COVID that we that we keep seeming to 233 00:12:15,679 --> 00:12:19,640 Speaker 1: have and so, I I mean, it's it's a it's 234 00:12:19,679 --> 00:12:21,720 Speaker 1: a really big problem. I think it's a problem with 235 00:12:21,800 --> 00:12:24,320 Speaker 1: our with our culture. You know, it's interesting too, Walker 236 00:12:24,360 --> 00:12:28,400 Speaker 1: because she brought back what is it, she canceled elective 237 00:12:28,440 --> 00:12:31,640 Speaker 1: surgeries in response to the omicron variant. But as you're 238 00:12:31,679 --> 00:12:33,480 Speaker 1: pointing to it at the same time is saying we 239 00:12:33,559 --> 00:12:35,400 Speaker 1: have to get every New Yorker back to whards, like 240 00:12:35,440 --> 00:12:38,120 Speaker 1: you have to pick one right where people Yeah, and 241 00:12:38,120 --> 00:12:40,640 Speaker 1: this is where people lose trust, right because they see 242 00:12:41,040 --> 00:12:43,800 Speaker 1: that these two things don't go together. So then other 243 00:12:43,840 --> 00:12:46,240 Speaker 1: statements that you make them may actually be true about 244 00:12:46,280 --> 00:12:48,959 Speaker 1: say like hey, you should go get a vaccine. Well, 245 00:12:48,960 --> 00:12:51,600 Speaker 1: it unreminds me of trust when you actually are providing 246 00:12:51,720 --> 00:12:55,080 Speaker 1: accurate public health information. You Know, what's interesting to me 247 00:12:55,280 --> 00:13:00,520 Speaker 1: is that the the push to to the order that 248 00:13:00,600 --> 00:13:04,600 Speaker 1: allows hospitals to cancel, that allows the state to cancel 249 00:13:05,160 --> 00:13:10,280 Speaker 1: elective surgeries. I mean, that's focused on maintaining hospital capacity. 250 00:13:10,320 --> 00:13:13,800 Speaker 1: We're still dealing in public policy that has acceptable losses 251 00:13:15,360 --> 00:13:17,640 Speaker 1: that's that's the basis of the policy. Right if you're 252 00:13:17,679 --> 00:13:20,559 Speaker 1: if you're concerned about keeping hospital space open, it's saying 253 00:13:20,840 --> 00:13:23,400 Speaker 1: we're not really going to contain the spread, We're just 254 00:13:23,440 --> 00:13:25,839 Speaker 1: going to mitigate the damage. And I think that is 255 00:13:25,880 --> 00:13:30,240 Speaker 1: an unacceptable public policy outlook for anywhere. I mean, New 256 00:13:30,320 --> 00:13:33,240 Speaker 1: York happens to be where I live, so so it's 257 00:13:33,280 --> 00:13:37,400 Speaker 1: really it's frustrating for me on that level. But but honestly, 258 00:13:37,880 --> 00:13:41,160 Speaker 1: anywhere that that that is the policy is really disappointing 259 00:13:41,200 --> 00:13:44,120 Speaker 1: and disheartening. I mean, we have a study back in 260 00:13:44,240 --> 00:13:48,520 Speaker 1: May suggested that nine hundred thousand Americans had died by 261 00:13:49,400 --> 00:13:53,160 Speaker 1: you know, the true count because official numbers are are undercounted. 262 00:13:53,240 --> 00:13:56,439 Speaker 1: Every epidemiologist I've spoken to has said the official numbers, 263 00:13:56,880 --> 00:13:59,640 Speaker 1: you know, they provide a baseline, but they're they're more 264 00:13:59,679 --> 00:14:03,440 Speaker 1: than more than likely undercounted. So I think it's I 265 00:14:03,440 --> 00:14:05,959 Speaker 1: think it's a real I think it's a real uh 266 00:14:06,440 --> 00:14:09,040 Speaker 1: disappointing thing to see from the new governor who came 267 00:14:09,040 --> 00:14:13,920 Speaker 1: in promising that she would be different from her predecessor, 268 00:14:14,000 --> 00:14:17,760 Speaker 1: you know, open and honest and whatnot, and we're we're 269 00:14:17,800 --> 00:14:21,600 Speaker 1: seeing we're not seeing that play out well. I think 270 00:14:21,640 --> 00:14:24,840 Speaker 1: we probably have a slightly different view about you know, 271 00:14:25,240 --> 00:14:28,400 Speaker 1: what the real what the realistic position is in terms 272 00:14:28,400 --> 00:14:30,800 Speaker 1: of COVID policies. But where we I one hundred percent 273 00:14:30,840 --> 00:14:34,040 Speaker 1: agree with you is that real estate interests should not 274 00:14:34,120 --> 00:14:36,840 Speaker 1: be driving or any other profit motive, whether it's from 275 00:14:36,840 --> 00:14:39,520 Speaker 1: the healthcare industry or from real estate interests, should be 276 00:14:39,600 --> 00:14:42,320 Speaker 1: driving the decisions that are being made. They should truly 277 00:14:42,320 --> 00:14:45,440 Speaker 1: be weighed based on public health and also quality of life. 278 00:14:45,520 --> 00:14:47,960 Speaker 1: You know, even after the pandemic is over, if people 279 00:14:47,960 --> 00:14:50,720 Speaker 1: were just as productive working remotely and they want to 280 00:14:50,720 --> 00:14:52,960 Speaker 1: move somewhere else, they want to have that different lifestyle, 281 00:14:53,120 --> 00:14:56,120 Speaker 1: they should be entitled to it, and it shouldn't be 282 00:14:56,160 --> 00:14:58,560 Speaker 1: real estate interest or the boss class who are really 283 00:14:58,560 --> 00:15:02,400 Speaker 1: determining what that future work looks like going forward. Walker, 284 00:15:02,480 --> 00:15:04,800 Speaker 1: Thank you for the great go ahead. I was just 285 00:15:04,840 --> 00:15:06,960 Speaker 1: gonna say, at the very least, we should be encouraging 286 00:15:07,040 --> 00:15:10,200 Speaker 1: remote work because that that is something that can simple 287 00:15:10,360 --> 00:15:14,720 Speaker 1: tangibly affects spread and you know, look something like eighty 288 00:15:14,760 --> 00:15:17,440 Speaker 1: percent of office jobs in New York City are are 289 00:15:17,560 --> 00:15:22,120 Speaker 1: remote capable. Yeah, simple, great point. Absolutely, Thank you for 290 00:15:22,200 --> 00:15:24,560 Speaker 1: great Thanks for having me on our pleasure. Glad to 291 00:15:24,560 --> 00:15:28,240 Speaker 1: have you very much and thank you guys for watching. 292 00:15:28,320 --> 00:15:30,000 Speaker 1: Have a great day, and we'll have more for you later. 293 00:15:32,360 --> 00:15:36,560 Speaker 1: So Andrew Yang joined YouTuber David Pacman. Actually pretty interesting 294 00:15:36,680 --> 00:15:38,960 Speaker 1: interview all the way around that I recommend you guys 295 00:15:39,040 --> 00:15:41,440 Speaker 1: check out in its entirety. It's about twenty five minutes long. 296 00:15:41,480 --> 00:15:42,800 Speaker 1: Do it on double speed. It takes to you even 297 00:15:42,840 --> 00:15:45,160 Speaker 1: less than that. But there were some of his comments 298 00:15:45,160 --> 00:15:49,200 Speaker 1: in particular that caught a lot of people's attention on Twitter. 299 00:15:49,440 --> 00:15:52,600 Speaker 1: Of course, Andrew is going forward with the Forward Party. 300 00:15:52,640 --> 00:15:55,320 Speaker 1: He sort of left the Democratic Party, and his focus 301 00:15:55,400 --> 00:15:59,840 Speaker 1: primarily is on election reforms, So rank choice voting and 302 00:16:00,000 --> 00:16:02,480 Speaker 1: making sure that you know, people don't just have to 303 00:16:02,520 --> 00:16:04,840 Speaker 1: pick between the Democratic Party and the Republican Party is 304 00:16:04,880 --> 00:16:06,840 Speaker 1: kind of the focus of what he's up to. So 305 00:16:06,960 --> 00:16:09,960 Speaker 1: Pacman asked him, effectively, well, what would your coalition be, 306 00:16:10,080 --> 00:16:12,160 Speaker 1: who are you looking to appeal to, and who are 307 00:16:12,200 --> 00:16:15,080 Speaker 1: you willing to work with on this project. Let's take 308 00:16:15,080 --> 00:16:16,920 Speaker 1: a listen to a little bit of that to make 309 00:16:16,960 --> 00:16:21,280 Speaker 1: it really specific. If people on the right say the 310 00:16:21,320 --> 00:16:26,240 Speaker 1: Republican Party is too centrist, I'm an extreme white supremacist 311 00:16:26,360 --> 00:16:28,560 Speaker 1: or something like that, but I think we need to 312 00:16:28,600 --> 00:16:31,280 Speaker 1: get you know, we need single transferable vote or whatever 313 00:16:31,320 --> 00:16:34,240 Speaker 1: in campaign, you still welcome that because you're on the 314 00:16:34,280 --> 00:16:38,800 Speaker 1: same page on that one issue. Yeah, if they're going 315 00:16:38,840 --> 00:16:42,600 Speaker 1: to help us transition to a more effective democracy, you know, 316 00:16:42,640 --> 00:16:44,880 Speaker 1: I don't need to know what their stance is on 317 00:16:44,960 --> 00:16:46,680 Speaker 1: things that I disagree with. People have a sense of 318 00:16:46,720 --> 00:16:50,080 Speaker 1: where I'm coming from, Okay, But right now I believe 319 00:16:50,160 --> 00:16:55,080 Speaker 1: that there is an existential threat to the country as 320 00:16:55,120 --> 00:16:57,320 Speaker 1: a result of the greatest design flaw in the history 321 00:16:57,320 --> 00:17:01,000 Speaker 1: of the world. And if if you will help us 322 00:17:01,440 --> 00:17:05,000 Speaker 1: resolve that design flaw, then we can have a discussion 323 00:17:05,040 --> 00:17:07,920 Speaker 1: about anything else under the sun at a time when 324 00:17:08,200 --> 00:17:11,280 Speaker 1: the democracy actually will stand the test of time. Very 325 00:17:11,359 --> 00:17:16,520 Speaker 1: obviously controversial answer, very provocative on Twitter, Very provocative answer, 326 00:17:16,520 --> 00:17:19,159 Speaker 1: and he goes on to explain, like, listen, you know, 327 00:17:19,359 --> 00:17:21,840 Speaker 1: he obviously thinks these people are imhorrant, and he thinks 328 00:17:21,880 --> 00:17:24,000 Speaker 1: they will He has confidence that they will lose in 329 00:17:24,080 --> 00:17:27,680 Speaker 1: the marketplace of ideas. So if they're partnering up for 330 00:17:27,760 --> 00:17:30,760 Speaker 1: something like ranked choice voting and open primary, something that 331 00:17:30,800 --> 00:17:34,440 Speaker 1: would open the way to multi party democracy, they're effectively 332 00:17:34,560 --> 00:17:38,359 Speaker 1: signing their own political irrelevance because they're going to be 333 00:17:38,400 --> 00:17:42,680 Speaker 1: relegated to some like you know, extremist fringe party that's 334 00:17:42,720 --> 00:17:46,119 Speaker 1: going to garner very little electoral support. But ultimately, I 335 00:17:46,160 --> 00:17:48,320 Speaker 1: mean there's kind of this bigger and I really the 336 00:17:48,359 --> 00:17:50,240 Speaker 1: interview was very interesting pac And ask him a bunch 337 00:17:50,280 --> 00:17:52,160 Speaker 1: of interesting questions that I think you guys will find 338 00:17:52,960 --> 00:17:55,840 Speaker 1: insightful as well, about tech censorship and all sorts of things. 339 00:17:56,240 --> 00:18:00,720 Speaker 1: But you know, it gets to this bigger instinct in 340 00:18:01,040 --> 00:18:06,280 Speaker 1: recent American politics where rather than expecting the voters to 341 00:18:06,400 --> 00:18:09,760 Speaker 1: judge the politicians, the politicians are being asked to like 342 00:18:10,200 --> 00:18:14,320 Speaker 1: judge the VOTERSCT and like cleanse their coalitions of anyone 343 00:18:14,320 --> 00:18:16,440 Speaker 1: who might be outside. Look, if you're an extreme white 344 00:18:16,440 --> 00:18:19,119 Speaker 1: supprominent white natural, like, that's obviously not an edge case. 345 00:18:19,640 --> 00:18:23,840 Speaker 1: But also there's so much shaming and calling if you 346 00:18:23,840 --> 00:18:25,760 Speaker 1: don't use the right language, if you're not there on 347 00:18:25,800 --> 00:18:29,000 Speaker 1: every single issue, then you're also supposed to be pushed 348 00:18:29,000 --> 00:18:32,560 Speaker 1: down in the circle. And it's quite antithetical to having 349 00:18:32,600 --> 00:18:35,600 Speaker 1: any sort of solidarity and having a coalition to actually 350 00:18:35,640 --> 00:18:38,000 Speaker 1: get things done. Yeah. Look, I mean, I'm sure we'll 351 00:18:38,000 --> 00:18:41,440 Speaker 1: get roasted four too, but that's how politics works. He's like, look, 352 00:18:41,640 --> 00:18:45,360 Speaker 1: on this personal design question, anybody who wants to work 353 00:18:45,359 --> 00:18:48,480 Speaker 1: with me, I'll take their vote after that. In this, 354 00:18:48,680 --> 00:18:50,720 Speaker 1: you know, I mean, frankly, in the system that Yang 355 00:18:50,760 --> 00:18:53,320 Speaker 1: is advocating for, these people would actually have less power 356 00:18:53,359 --> 00:18:56,800 Speaker 1: than they would in a partisan That's exactly right now. 357 00:18:56,880 --> 00:18:59,280 Speaker 1: They have influence within the party if you have a 358 00:18:59,359 --> 00:19:02,200 Speaker 1: strong group which is really dedicated. I've talked a lot 359 00:19:02,200 --> 00:19:04,440 Speaker 1: here about Nasim teled is tearing to me the minority 360 00:19:04,920 --> 00:19:08,720 Speaker 1: and a dictatorship of the small minority, and then the 361 00:19:08,960 --> 00:19:11,119 Speaker 1: idea that they could then vote in a fairy Parson 362 00:19:11,160 --> 00:19:14,720 Speaker 1: primary setting the rules and the preferences for the entire population. 363 00:19:15,040 --> 00:19:17,359 Speaker 1: I mean, under the rules that Yang is proposing, that 364 00:19:17,400 --> 00:19:19,480 Speaker 1: actually would be neutered, and it would make it so 365 00:19:19,520 --> 00:19:22,440 Speaker 1: we would have a less extreme amount of politics in 366 00:19:22,600 --> 00:19:25,800 Speaker 1: our actual democratic design. So, if you do care about 367 00:19:25,920 --> 00:19:29,359 Speaker 1: silencing or at least, you know, trying to modify or 368 00:19:29,400 --> 00:19:33,639 Speaker 1: stop the influence of people who have abhorrent views, this 369 00:19:33,680 --> 00:19:36,760 Speaker 1: would probably be the best way in order to get 370 00:19:36,800 --> 00:19:39,040 Speaker 1: that done. But of course nobody thinks about it from 371 00:19:39,040 --> 00:19:42,119 Speaker 1: an actual policy and practical point of view. And Yang, 372 00:19:42,440 --> 00:19:45,000 Speaker 1: to his credit, what I really like about this current 373 00:19:45,000 --> 00:19:47,800 Speaker 1: iteration of Andrew Yang is after losing the you know, 374 00:19:47,840 --> 00:19:50,359 Speaker 1: the New York primary, he seems to be returning to 375 00:19:50,520 --> 00:19:52,720 Speaker 1: what made him him in the first place. And I 376 00:19:52,760 --> 00:19:56,360 Speaker 1: think that having that honesty, having and really the willingness 377 00:19:56,400 --> 00:19:58,480 Speaker 1: to just have a conversation with anybody under the sun, 378 00:19:58,640 --> 00:20:01,280 Speaker 1: which I think is very important. He is being pressed 379 00:20:01,280 --> 00:20:03,280 Speaker 1: and asked questions which you would never hear from the 380 00:20:03,280 --> 00:20:06,000 Speaker 1: corporate media, and then answering them, I think truthfully to 381 00:20:06,119 --> 00:20:09,600 Speaker 1: his actual stated aim. So I very much welcome you know, 382 00:20:09,680 --> 00:20:11,679 Speaker 1: this current iteration. I think it was very brave of 383 00:20:11,760 --> 00:20:14,040 Speaker 1: him to say so, despite the fact that he's going 384 00:20:14,080 --> 00:20:16,080 Speaker 1: to get attacked for it. I think it's exactly the 385 00:20:16,160 --> 00:20:18,280 Speaker 1: right attitude that you have to have if you're being 386 00:20:18,280 --> 00:20:20,480 Speaker 1: really serious about what you want to get done. Yeah, 387 00:20:20,520 --> 00:20:23,760 Speaker 1: and having them as like they're voting for this and 388 00:20:23,880 --> 00:20:27,240 Speaker 1: some ballad initiative whatever is different than having people with, 389 00:20:27,400 --> 00:20:29,840 Speaker 1: you know, abhorrent views who are helping to drive the 390 00:20:30,040 --> 00:20:33,480 Speaker 1: direction of whatever you're doing, etc. Like That's obviously a 391 00:20:33,560 --> 00:20:37,160 Speaker 1: very different scenario. There's also something very interesting that happens 392 00:20:37,520 --> 00:20:40,520 Speaker 1: when Pacman asked him this question, which is that you 393 00:20:40,600 --> 00:20:44,000 Speaker 1: actually see Andrew sit for a second and think before responding, 394 00:20:44,040 --> 00:20:47,600 Speaker 1: which is like It's amazing how unusual it is for 395 00:20:47,640 --> 00:20:49,919 Speaker 1: people to actually be sort of grappling with something in 396 00:20:49,960 --> 00:20:53,719 Speaker 1: real time and not just spew out whatever talking points 397 00:20:53,760 --> 00:20:56,920 Speaker 1: or cover story they think you ultimately want to hear. Now, 398 00:20:57,000 --> 00:20:59,360 Speaker 1: as you know, for me, the jury is a little 399 00:20:59,400 --> 00:21:02,240 Speaker 1: bit more still out on the new project on whether 400 00:21:02,280 --> 00:21:05,080 Speaker 1: it's going to be effective. I also think that he 401 00:21:05,119 --> 00:21:08,120 Speaker 1: really needs to get, you know, any sort of big 402 00:21:08,160 --> 00:21:10,639 Speaker 1: money influence out of and say he's not going to 403 00:21:10,720 --> 00:21:14,400 Speaker 1: take large scale corporation, you know, corporate money or large 404 00:21:14,400 --> 00:21:17,480 Speaker 1: scale donations, because I do think that those things ultimately 405 00:21:17,520 --> 00:21:20,640 Speaker 1: could influence the direction in a nefarious way. I'm much 406 00:21:20,640 --> 00:21:24,120 Speaker 1: more concerned about that sort of influence ultimately. So again 407 00:21:24,160 --> 00:21:26,520 Speaker 1: I have questions about the project in particular, but I 408 00:21:26,520 --> 00:21:29,240 Speaker 1: did think this exchange was interesting and it is the 409 00:21:29,280 --> 00:21:31,879 Speaker 1: sort of thing that I'm sure he knew in that 410 00:21:32,000 --> 00:21:34,120 Speaker 1: moment that like, this is not going to sound good, 411 00:21:34,160 --> 00:21:36,120 Speaker 1: and people are gonna cut it and they're gonna, you know, 412 00:21:36,280 --> 00:21:37,840 Speaker 1: they're gonna hate it, and it's going to turn off 413 00:21:37,840 --> 00:21:40,480 Speaker 1: a certain percentage of the population. But he comes with 414 00:21:40,520 --> 00:21:43,840 Speaker 1: what he believes the correct and the honest answer is here. 415 00:21:43,880 --> 00:21:47,240 Speaker 1: So pretty interesting exchange, Very interesting all right, guys, enjoy 416 00:21:47,280 --> 00:21:51,440 Speaker 1: your day. We'll have more for you later. All right, guys, 417 00:21:51,440 --> 00:21:55,680 Speaker 1: we've got a new potential Rachel Delagal or Elizabeth Warren 418 00:21:56,400 --> 00:21:59,720 Speaker 1: type situation on our hands. This one out of our 419 00:21:59,760 --> 00:22:03,600 Speaker 1: friend neighbors to the north. A Canadian woman who had 420 00:22:03,680 --> 00:22:08,720 Speaker 1: risen to a top level position within the government has 421 00:22:08,760 --> 00:22:12,800 Speaker 1: been outed as a fraud. She's been claiming indigenous heritage 422 00:22:13,240 --> 00:22:15,320 Speaker 1: for years. Let's go ahead and throw this New York 423 00:22:15,359 --> 00:22:19,480 Speaker 1: Post tear sheet up on the screen. Canada's Indigenous health expert, 424 00:22:19,520 --> 00:22:23,560 Speaker 1: Carrie Barrassa, loses job when her ancestry claims proved false. 425 00:22:24,040 --> 00:22:26,800 Speaker 1: Here's the opening bit here. A Canadian medical researcher who 426 00:22:26,880 --> 00:22:30,240 Speaker 1: rose to become the nation's top voice on indigenous health 427 00:22:30,240 --> 00:22:32,480 Speaker 1: has been ousted from her government job and her university 428 00:22:32,480 --> 00:22:38,240 Speaker 1: professorship after suspicious colleagues investigated her increasingly fanciful claims of 429 00:22:38,320 --> 00:22:42,240 Speaker 1: Native American heritage and learned she was a fraud. She 430 00:22:42,440 --> 00:22:46,160 Speaker 1: was suspended on November first, five days after the state 431 00:22:46,240 --> 00:22:51,200 Speaker 1: owned Canadian Broadcasting Corporation published a lengthy expose on her background. 432 00:22:51,720 --> 00:22:53,840 Speaker 1: I also read the expose because this is one of 433 00:22:53,880 --> 00:22:57,160 Speaker 1: these stories that I'm just like, how do you why 434 00:22:57,480 --> 00:22:59,520 Speaker 1: and how and how do you think you're going to 435 00:22:59,560 --> 00:23:02,520 Speaker 1: get away with this? Let's go ahead and throw that 436 00:23:02,600 --> 00:23:07,080 Speaker 1: investigation up on the screen and effectively, what happened here, 437 00:23:07,280 --> 00:23:10,480 Speaker 1: as best as we can figure out, is she originally 438 00:23:10,480 --> 00:23:15,560 Speaker 1: claimed to be part of the Mayti nation and even 439 00:23:15,640 --> 00:23:20,800 Speaker 1: convinced her sister that they had this ancestry. She brought 440 00:23:20,800 --> 00:23:23,280 Speaker 1: in someone who was an expert who gave them some 441 00:23:23,320 --> 00:23:25,960 Speaker 1: sort of lineage that persuaded the sister at least for 442 00:23:26,080 --> 00:23:30,399 Speaker 1: a time, that they did have this indigenous ancestry. But 443 00:23:30,520 --> 00:23:35,480 Speaker 1: when Collie started to get suspicious is when the sister decided, like, 444 00:23:35,640 --> 00:23:37,399 Speaker 1: I did my own research and I don't think I 445 00:23:37,440 --> 00:23:40,119 Speaker 1: can claim this anymore. That this does not seem like 446 00:23:40,160 --> 00:23:42,639 Speaker 1: it is a true reflection of, you know, where our 447 00:23:42,680 --> 00:23:45,919 Speaker 1: people ultimately came from. And then you couple that with 448 00:23:46,000 --> 00:23:49,720 Speaker 1: the fact that on top of the initial claims about 449 00:23:49,720 --> 00:23:54,760 Speaker 1: the Maiti ancestry, she started to add on other tribal 450 00:23:54,800 --> 00:23:57,919 Speaker 1: lineages that she was affiliated with. So let's take a 451 00:23:57,960 --> 00:24:00,359 Speaker 1: look at this was a TEDx talk that raised a 452 00:24:00,400 --> 00:24:03,080 Speaker 1: lot of out eyebrows at the time, where she's claiming 453 00:24:03,280 --> 00:24:06,440 Speaker 1: a lot of different ancestries that it turns out she 454 00:24:06,760 --> 00:24:08,480 Speaker 1: was not connected to at all. Let's take a look 455 00:24:08,480 --> 00:24:11,920 Speaker 1: at that. I'm bear Klan, I'm Anishabi METI from treaty 456 00:24:11,960 --> 00:24:15,160 Speaker 1: for a territory, and I want to acknowledge the territory 457 00:24:15,160 --> 00:24:19,320 Speaker 1: that I'm in, Treaty six, territory home to the Cree 458 00:24:19,359 --> 00:24:24,200 Speaker 1: peoples and homeland of the Mate nation. I also want 459 00:24:24,200 --> 00:24:27,320 Speaker 1: to acknowledge my ancestors, who are clearly here with me. 460 00:24:29,480 --> 00:24:32,720 Speaker 1: So it turns out that her people are actually like 461 00:24:33,119 --> 00:24:38,440 Speaker 1: Russian and Eastern European and Czech farmer immigrants. It is fine, 462 00:24:39,000 --> 00:24:42,879 Speaker 1: totally fine. Also that this is the other part that 463 00:24:43,080 --> 00:24:46,399 Speaker 1: to me was actually the most growth. She also invented 464 00:24:46,440 --> 00:24:50,119 Speaker 1: this whole childhood of trauma that look, I don't know 465 00:24:50,200 --> 00:24:52,520 Speaker 1: if she suffered some trauma or another in her life 466 00:24:52,680 --> 00:24:56,520 Speaker 1: or not, but what she said is totally inconsistent with 467 00:24:56,920 --> 00:25:00,480 Speaker 1: who her parents actually are. Apparently they were successful, well 468 00:25:00,520 --> 00:25:04,720 Speaker 1: known middle class business owners. She had a stable upbringing, 469 00:25:04,760 --> 00:25:06,920 Speaker 1: at least from the outside as far as anyone could tell, 470 00:25:07,520 --> 00:25:12,000 Speaker 1: totally opposite the childhood of trauma that she described as 471 00:25:12,359 --> 00:25:17,359 Speaker 1: rife with violence and addiction and sexual assault and poverty 472 00:25:17,440 --> 00:25:20,040 Speaker 1: and all of these things, some of them, I mean 473 00:25:20,080 --> 00:25:23,520 Speaker 1: the poverty part is provably false. The ancestry also now 474 00:25:23,560 --> 00:25:28,680 Speaker 1: provably false. But I just really don't understand, Like I mean, 475 00:25:28,720 --> 00:25:30,960 Speaker 1: it seems like she also started leaning more into the 476 00:25:30,960 --> 00:25:33,800 Speaker 1: traditional dress, which is also part of why her colleagues 477 00:25:33,840 --> 00:25:36,680 Speaker 1: were like, what are you doing here? And they found 478 00:25:36,680 --> 00:25:40,200 Speaker 1: it particularly gross too, that she invented this whole childhood 479 00:25:40,480 --> 00:25:44,480 Speaker 1: of trauma, which kind of plays into these negative stereotypes 480 00:25:44,520 --> 00:25:47,919 Speaker 1: of that community, like every Indigenous person is, like, you know, 481 00:25:48,160 --> 00:25:51,800 Speaker 1: a violent drunk or something like that, and so it's 482 00:25:51,880 --> 00:25:55,320 Speaker 1: quite incredible. Ultimately, I mean, this lady, she's just a 483 00:25:55,359 --> 00:25:58,000 Speaker 1: con artist. That's what it really looks like. She said 484 00:25:58,040 --> 00:26:01,280 Speaker 1: that her name was morning Star Bear, like that's a 485 00:26:01,480 --> 00:26:06,760 Speaker 1: veggie burger, know, it's it's real life. Okay, Look, I'm shocked. 486 00:26:06,960 --> 00:26:09,600 Speaker 1: I don't know. This is a deep social pathology. This 487 00:26:09,680 --> 00:26:12,159 Speaker 1: is not the first time this has happened. Dolez Al 488 00:26:12,320 --> 00:26:14,920 Speaker 1: was one here in DC where I went to school. GW, 489 00:26:14,960 --> 00:26:18,320 Speaker 1: there was some professor oh really yeah, who proclaimed to 490 00:26:18,359 --> 00:26:22,160 Speaker 1: be the same thing, you know, professor of X studies. 491 00:26:22,760 --> 00:26:26,080 Speaker 1: Long claim of history. Totally false. She was just white. 492 00:26:26,520 --> 00:26:29,320 Speaker 1: I don't get it. It's okay to be Russian, Czech, 493 00:26:29,800 --> 00:26:32,359 Speaker 1: or Polish. You know, there's some oppression that happened in 494 00:26:32,400 --> 00:26:35,879 Speaker 1: those communities, especially if you're Czech, Russian or whatever. They 495 00:26:35,920 --> 00:26:38,240 Speaker 1: came over here in nineteen twelve, nineteen thirteen. You could 496 00:26:38,240 --> 00:26:40,840 Speaker 1: talk about the turmoil of the czar or whatever. Be 497 00:26:41,040 --> 00:26:43,480 Speaker 1: proud of where you're from. There's nothing wrong with being 498 00:26:43,520 --> 00:26:46,120 Speaker 1: from there. I really don't know. I mean, the fact 499 00:26:46,119 --> 00:26:48,199 Speaker 1: that her parents were business owners and she had a 500 00:26:48,200 --> 00:26:51,080 Speaker 1: middle class childhood shows that one of the best ways 501 00:26:51,080 --> 00:26:53,959 Speaker 1: you can get ahead in current culture is to claim 502 00:26:54,080 --> 00:26:57,399 Speaker 1: trauma and to claim some sort of special status. And 503 00:26:57,520 --> 00:27:02,680 Speaker 1: I'm not minimizing people's actual trauma, but you know, Harper's 504 00:27:02,680 --> 00:27:06,440 Speaker 1: magazine just came out with a big cover edition yesterday, 505 00:27:06,480 --> 00:27:10,000 Speaker 1: I think, called Against Trauma, and it was exactly around 506 00:27:10,040 --> 00:27:13,520 Speaker 1: how the social pathologizing of the idea of trauma entering 507 00:27:13,560 --> 00:27:16,920 Speaker 1: everybody's life has created all this like weird speak about 508 00:27:16,960 --> 00:27:19,600 Speaker 1: the way people talk about screwed up childhoods or whatever. 509 00:27:19,680 --> 00:27:22,439 Speaker 1: And I'm not minimizing it once again, but it also 510 00:27:22,760 --> 00:27:24,639 Speaker 1: claims a way to have social status. And when you 511 00:27:24,640 --> 00:27:27,720 Speaker 1: have social status, then you have freaks and narcissists like 512 00:27:27,760 --> 00:27:30,760 Speaker 1: this who glom onto it and use it and exploit 513 00:27:30,800 --> 00:27:33,159 Speaker 1: it all the way to the very top of the 514 00:27:33,680 --> 00:27:36,920 Speaker 1: of the value chain. And I mean it's repulsive how 515 00:27:36,920 --> 00:27:38,840 Speaker 1: far she actually got with this. Well, she got to 516 00:27:38,960 --> 00:27:43,119 Speaker 1: actually have the benefit of the privilege that comes with 517 00:27:43,160 --> 00:27:46,000 Speaker 1: her class status and not having that trauma. Again, I 518 00:27:46,000 --> 00:27:47,879 Speaker 1: don't know every in and out of her childhood, and 519 00:27:48,000 --> 00:27:49,919 Speaker 1: no one does to say that like there's no trauma. 520 00:27:49,960 --> 00:27:52,679 Speaker 1: But certainly the story she was she claimed is is 521 00:27:53,000 --> 00:27:55,919 Speaker 1: what she claimed is totally bs. Yes, right, So she 522 00:27:56,000 --> 00:27:59,240 Speaker 1: gets to have the benefit of that upbringing and then 523 00:27:59,320 --> 00:28:03,720 Speaker 1: gets to you, is this feigned identity to carve out 524 00:28:03,960 --> 00:28:07,080 Speaker 1: uh sort of you know, a brand for herself? Which 525 00:28:07,200 --> 00:28:10,159 Speaker 1: is it? Really? Is? It really is something? And I 526 00:28:10,200 --> 00:28:12,919 Speaker 1: have to say to you, I mean, listen, I really 527 00:28:13,080 --> 00:28:15,520 Speaker 1: you know, buy into the notion that race is there 528 00:28:15,560 --> 00:28:19,560 Speaker 1: isn't this like hard genetic these lines. Race is social 529 00:28:19,600 --> 00:28:23,840 Speaker 1: construct and all of that. So I can theoretically imagine 530 00:28:23,840 --> 00:28:28,439 Speaker 1: a person who doesn't have like technical lineage in a 531 00:28:28,480 --> 00:28:33,520 Speaker 1: certain community but authentically is culturally part of that community, 532 00:28:33,760 --> 00:28:36,399 Speaker 1: like I can. I can imagine that set of circumstances 533 00:28:36,920 --> 00:28:39,880 Speaker 1: that is clearly not what was That's not what was 534 00:28:39,920 --> 00:28:43,520 Speaker 1: going on. In fact, I would say Rachel dolijahal without 535 00:28:43,680 --> 00:28:47,200 Speaker 1: you know, recalling every detail and specifics of her particular case. 536 00:28:47,240 --> 00:28:49,800 Speaker 1: Like I would say she had more of an authentic 537 00:28:49,880 --> 00:28:52,720 Speaker 1: claim to she had really made efforts to, you know, 538 00:28:52,800 --> 00:28:55,200 Speaker 1: be part of the community and sort of live that 539 00:28:55,280 --> 00:28:58,200 Speaker 1: experience all of those things. Like I can imagine a 540 00:28:58,280 --> 00:29:01,440 Speaker 1: theoretical set of circumstances is where you would feel a 541 00:29:01,480 --> 00:29:05,400 Speaker 1: part of a culture that you didn't technically descend from. This, 542 00:29:05,520 --> 00:29:07,880 Speaker 1: ain't it. This person is just a con artist. Yeah, 543 00:29:07,920 --> 00:29:10,040 Speaker 1: no bottom line, this psycho and it just goes to 544 00:29:10,080 --> 00:29:12,400 Speaker 1: show you what gets reward in our society. It's this 545 00:29:12,440 --> 00:29:14,000 Speaker 1: stuff which you can get away with this stuff for 546 00:29:14,040 --> 00:29:16,200 Speaker 1: a long time. I mean, look, credit to the news. 547 00:29:16,320 --> 00:29:19,080 Speaker 1: I guess Canada's news is not as woke as our news, 548 00:29:19,080 --> 00:29:20,800 Speaker 1: so credit to them. There's no way that we've done 549 00:29:20,800 --> 00:29:24,080 Speaker 1: this here in the US. So I'm glad Elizabeth Warren 550 00:29:24,120 --> 00:29:26,560 Speaker 1: Diddles she kind of closed herself. I was gonna say 551 00:29:26,600 --> 00:29:28,680 Speaker 1: she played herself. There's no way the New York Times 552 00:29:28,680 --> 00:29:31,800 Speaker 1: and all them would actually dug into happy to ask 553 00:29:31,840 --> 00:29:35,320 Speaker 1: her about it. I will always give credit to that 554 00:29:35,360 --> 00:29:37,400 Speaker 1: guy for ask I mean, here's what I would say, 555 00:29:37,560 --> 00:29:40,600 Speaker 1: like still the best that if you if you had 556 00:29:40,600 --> 00:29:44,280 Speaker 1: to pick an identity in America and presumably in Canada, 557 00:29:44,360 --> 00:29:46,640 Speaker 1: the thing that you would want is to be a 558 00:29:46,960 --> 00:29:50,400 Speaker 1: rich person, right, I mean, that's the best thing. So 559 00:29:50,440 --> 00:29:53,760 Speaker 1: she got to have the class tess. And then because 560 00:29:53,800 --> 00:29:56,000 Speaker 1: it's probably profiting off of this too, that's the other 561 00:29:56,040 --> 00:29:58,719 Speaker 1: thing in terms of or at least socially, and her 562 00:29:58,840 --> 00:30:01,680 Speaker 1: job and all that relied on this, So you know, yeah, 563 00:30:01,680 --> 00:30:05,280 Speaker 1: her job, her chosen field, this was very advantageous, one 564 00:30:05,360 --> 00:30:10,280 Speaker 1: hundred percent. Anyway, these people of psycho hard to understand. 565 00:30:10,640 --> 00:30:12,320 Speaker 1: How do you not think you're going to get caught? 566 00:30:12,960 --> 00:30:14,959 Speaker 1: And her whole fan and by the way, her whole family. 567 00:30:15,480 --> 00:30:17,880 Speaker 1: They wouldn't say much on the record, but they said 568 00:30:17,960 --> 00:30:20,760 Speaker 1: enough to be like this is bullshit and we want 569 00:30:20,880 --> 00:30:24,040 Speaker 1: nothing to do with it, including the sister and the parents. Well, 570 00:30:24,240 --> 00:30:27,040 Speaker 1: you know, I hope somebody who's actually what do they 571 00:30:27,040 --> 00:30:29,360 Speaker 1: call them in Canada, It's not Native, it's a first 572 00:30:29,920 --> 00:30:32,280 Speaker 1: or whatever, right, So I hope somebody who is actually 573 00:30:32,320 --> 00:30:35,400 Speaker 1: first nation gets this post. There actually are a lot 574 00:30:35,440 --> 00:30:40,640 Speaker 1: of problems or first nation and Native also here, massive discrimination, poverty, 575 00:30:40,880 --> 00:30:43,000 Speaker 1: you know, the way these people have been treated terrible. 576 00:30:43,720 --> 00:30:45,560 Speaker 1: They have some great traditions and more. Actually read a 577 00:30:45,560 --> 00:30:49,520 Speaker 1: book recently about people native communities in Alaska who have 578 00:30:49,560 --> 00:30:52,640 Speaker 1: some overlap and share with people in Canada as well 579 00:30:52,680 --> 00:30:54,520 Speaker 1: about Eskimo. I forget what this thing it's called My 580 00:30:54,640 --> 00:30:57,880 Speaker 1: Life with the Eskimo is, but a Norwegian American explorer 581 00:30:57,880 --> 00:31:01,240 Speaker 1: who went to Upper Canada and nine times fascinating stuff. Okay, 582 00:31:01,320 --> 00:31:03,640 Speaker 1: like real you could like, you know, my parents are 583 00:31:03,680 --> 00:31:06,480 Speaker 1: from India. I have a reverence for those type of cultures, 584 00:31:06,480 --> 00:31:10,480 Speaker 1: their traditions and more. And so to have people appropriate 585 00:31:10,560 --> 00:31:13,040 Speaker 1: that like literally, this is one of those real cases 586 00:31:13,040 --> 00:31:15,240 Speaker 1: where this is happening. It's disgusting. Yes, I don't know 587 00:31:15,240 --> 00:31:18,360 Speaker 1: what's say? Agreed? Right, all right, guys, enjoy your day 588 00:31:18,400 --> 00:31:23,440 Speaker 1: well more U lator. Some really interesting new data, frankly 589 00:31:23,480 --> 00:31:27,160 Speaker 1: troubling data from apartment guide dot com. They put out 590 00:31:27,200 --> 00:31:31,360 Speaker 1: their monthly rent report and some pretty stunning numbers about 591 00:31:31,440 --> 00:31:34,520 Speaker 1: just how much rents have spiked across the country. Let's 592 00:31:34,520 --> 00:31:36,600 Speaker 1: go ahead and throw this map up to start with. 593 00:31:37,160 --> 00:31:40,040 Speaker 1: So what you see here is the increase in rent 594 00:31:40,120 --> 00:31:44,880 Speaker 1: of one bedroom apartments in states across the country. Every 595 00:31:45,000 --> 00:31:48,200 Speaker 1: single state has seen an increase, and you can see 596 00:31:48,240 --> 00:31:51,040 Speaker 1: where some of the top states are they're kind of 597 00:31:51,080 --> 00:31:54,040 Speaker 1: scattered all over. But as we Blahoma, Yeah, as we 598 00:31:54,080 --> 00:31:57,600 Speaker 1: dig into the daddy see Louisiana, you see Florida, you 599 00:31:57,640 --> 00:32:00,880 Speaker 1: see Oregon. As we dig into the data, you'll see 600 00:32:00,880 --> 00:32:03,760 Speaker 1: some of the cities that have had the highest spikes. 601 00:32:03,800 --> 00:32:06,800 Speaker 1: A lot of them are in warm weather places, which 602 00:32:06,840 --> 00:32:10,360 Speaker 1: makes sense. A lot of them also in place cities 603 00:32:10,360 --> 00:32:14,320 Speaker 1: that are relatively small, so three hundred thousand people or less. 604 00:32:14,640 --> 00:32:16,400 Speaker 1: But just to give you the top line numbers, So 605 00:32:16,640 --> 00:32:21,400 Speaker 1: overall one bedrooms, year over year, price has increased close 606 00:32:21,440 --> 00:32:24,560 Speaker 1: to twenty percent, nineteen point eight percent in one year. 607 00:32:24,960 --> 00:32:27,560 Speaker 1: Two bedrooms, the picture is not much better. Price has 608 00:32:27,560 --> 00:32:31,640 Speaker 1: increased year over year by seventeen point three percent. Just 609 00:32:31,680 --> 00:32:34,000 Speaker 1: give you a little bit more data. Here are the 610 00:32:34,040 --> 00:32:37,520 Speaker 1: top ten cities in terms of amount of increase. Those 611 00:32:37,560 --> 00:32:43,160 Speaker 1: the numbers at the top. You see Gilbert, Arizona, Long Beach, California, Riverside, California, Orlando, Florida. 612 00:32:43,240 --> 00:32:47,240 Speaker 1: Get a lot of places that are warm Birmingham, Alabama. St. Petersburg, Florida, 613 00:32:47,320 --> 00:32:52,240 Speaker 1: Huntington Beach, California, Boise, Idaho. That's one I'd been hearing about. Scottsdale, Arizona, 614 00:32:52,320 --> 00:32:56,960 Speaker 1: and Irvine, California. And finally, for the two bedroom biggest increase, 615 00:32:57,960 --> 00:33:09,320 Speaker 1: you see places like again Or Florida, Saint Petersburg, Florida, Jacksonville, Arlington, Texas, Tucson, Arizona, Garland, Texas, Reno, Nevada, 616 00:33:09,400 --> 00:33:13,040 Speaker 1: Fort Wayne, Indiana, Random, New York, New York different than 617 00:33:13,080 --> 00:33:16,160 Speaker 1: what you might have heard on the right, and Albuquerque, 618 00:33:16,400 --> 00:33:19,400 Speaker 1: New Mexico. So a couple things that I took note 619 00:33:19,400 --> 00:33:22,600 Speaker 1: of here. First of all, you see the movement to 620 00:33:22,640 --> 00:33:27,080 Speaker 1: warm weather places and driving up rent prices. You see obviously, 621 00:33:27,160 --> 00:33:31,280 Speaker 1: you know the pandemic abating and rent prices skyrocketing now 622 00:33:31,360 --> 00:33:34,000 Speaker 1: that people can actually potentially have a job and pay, 623 00:33:35,360 --> 00:33:38,600 Speaker 1: And it does defy some of the narratives out there. 624 00:33:38,640 --> 00:33:41,000 Speaker 1: I mean a lot of the places that saw huge 625 00:33:41,400 --> 00:33:44,520 Speaker 1: rent increases were actually in California, where the narrative has been, 626 00:33:44,560 --> 00:33:47,240 Speaker 1: oh California's over, Oh New York's over, and everybody's going 627 00:33:47,280 --> 00:33:51,719 Speaker 1: to Texas at least from this rent price data that 628 00:33:51,760 --> 00:33:56,160 Speaker 1: doesn't necessarily doesn't necessarily reflect that. And then the most 629 00:33:56,160 --> 00:33:58,880 Speaker 1: important piece here is, like you know, when you see 630 00:33:58,920 --> 00:34:02,240 Speaker 1: rent prices going up there much, this is a massive 631 00:34:02,320 --> 00:34:05,280 Speaker 1: hit and people's wallet it makes it so hard for 632 00:34:05,320 --> 00:34:07,640 Speaker 1: them to be able to afford the other necessities of 633 00:34:07,680 --> 00:34:10,080 Speaker 1: life in addition to just housing. I mean, housing price 634 00:34:10,120 --> 00:34:12,120 Speaker 1: goes up by twenty percent, and then your food cost 635 00:34:12,160 --> 00:34:14,160 Speaker 1: goes up by like what forty percent? I mean, it's 636 00:34:14,160 --> 00:34:16,799 Speaker 1: a total disaster. Those are the absolute basis. In a 637 00:34:16,840 --> 00:34:20,000 Speaker 1: single year, you're getting nuked. And for a lot of 638 00:34:20,000 --> 00:34:23,400 Speaker 1: people who are on month are year over year leases. 639 00:34:23,480 --> 00:34:26,520 Speaker 1: If you re signed and are up for resigning in 640 00:34:26,640 --> 00:34:30,080 Speaker 1: twenty twenty one, you probably did see a significant increase. 641 00:34:30,120 --> 00:34:31,279 Speaker 1: I have a lot of friends who this happened to. 642 00:34:31,360 --> 00:34:33,880 Speaker 1: It took advantage of COVID deals and now are you know, 643 00:34:33,920 --> 00:34:36,480 Speaker 1: are looming and seeing like, oh, you know, are we 644 00:34:36,520 --> 00:34:38,719 Speaker 1: going to be able to resign this apartment or not. 645 00:34:38,880 --> 00:34:42,040 Speaker 1: It's really becoming a problem. And they really point to 646 00:34:42,080 --> 00:34:45,160 Speaker 1: this fact. Rent inflation is here. Until twenty twenty three, 647 00:34:45,800 --> 00:34:48,520 Speaker 1: While the pandemics saw a drastic decrease in rent, the 648 00:34:48,600 --> 00:34:52,120 Speaker 1: trend quickly reversed as both renters new and old, returned 649 00:34:52,200 --> 00:34:55,200 Speaker 1: to cities. As the report shows, you're over your rent 650 00:34:55,239 --> 00:34:58,080 Speaker 1: price up by double digit nationwide, a trend that is 651 00:34:58,280 --> 00:35:01,879 Speaker 1: likely to continue. And the other thing that they point, oh, 652 00:35:02,239 --> 00:35:05,279 Speaker 1: highest increase in more than thirty years. But what they 653 00:35:05,360 --> 00:35:10,839 Speaker 1: really this captures is internal migration within states and all 654 00:35:10,880 --> 00:35:13,040 Speaker 1: over the country. Yeah, that's the totally nuts part. So 655 00:35:13,080 --> 00:35:15,799 Speaker 1: even within California, people said, Okay, I'm going to the 656 00:35:15,800 --> 00:35:18,000 Speaker 1: hotter parts of California, I'm going to the nicer parts 657 00:35:18,040 --> 00:35:20,280 Speaker 1: because I'm working from home or I have the ability 658 00:35:20,520 --> 00:35:23,840 Speaker 1: that creates this competition over scarce resources, which drives the 659 00:35:23,880 --> 00:35:26,279 Speaker 1: price up. Boise, Idaho, from what I heard, was the 660 00:35:26,320 --> 00:35:29,600 Speaker 1: same thing. Yeah, Californians who wanted to pay lower taxes 661 00:35:29,840 --> 00:35:32,080 Speaker 1: still be on the West Coast time zone, be only 662 00:35:32,120 --> 00:35:35,640 Speaker 1: like an hour long flight or whatever away from San Francisco. Boom, 663 00:35:35,640 --> 00:35:38,839 Speaker 1: they're moving to Boise. Same with Arizona, Scottsdale, Arizona. I'd 664 00:35:38,880 --> 00:35:42,319 Speaker 1: heard a lot of Californias want to be able on 665 00:35:42,320 --> 00:35:44,640 Speaker 1: that time zone or within an hour of the time 666 00:35:44,719 --> 00:35:49,200 Speaker 1: zone quick flight from home. Texas obviously was a longtime story, 667 00:35:49,200 --> 00:35:51,240 Speaker 1: but it's not just Austin. There's a lot of others. 668 00:35:51,520 --> 00:35:55,920 Speaker 1: And so that huge internal migration to Georgia, to Florida, 669 00:35:56,280 --> 00:35:59,520 Speaker 1: to Texas, across the entire Sun Belt throughout the pandemic. 670 00:36:00,080 --> 00:36:04,040 Speaker 1: As Derek Thompson said on our show if just ten 671 00:36:04,120 --> 00:36:06,920 Speaker 1: percent of the white collar workforce moves, that is the 672 00:36:07,040 --> 00:36:11,399 Speaker 1: largest internal migration in the United States since World War Two, 673 00:36:12,000 --> 00:36:15,520 Speaker 1: end population redistribution. I think the whole country changed during COVID. 674 00:36:15,560 --> 00:36:18,960 Speaker 1: I mean, it's like a totally it's like an almost 675 00:36:19,080 --> 00:36:21,640 Speaker 1: unnuanced point to make at this point, but it's true. 676 00:36:21,719 --> 00:36:23,680 Speaker 1: It's just like we had a huge, massive change and 677 00:36:23,719 --> 00:36:29,520 Speaker 1: that's disrupting everything. It's reshaped the workplace, it's reshaped, the 678 00:36:29,520 --> 00:36:32,120 Speaker 1: electoral of it is reshaped. I mean the geography and 679 00:36:32,160 --> 00:36:35,400 Speaker 1: the landscape of where people are moving to, seeming to 680 00:36:35,440 --> 00:36:39,440 Speaker 1: seek out these smaller cities which may be you know, 681 00:36:39,560 --> 00:36:43,800 Speaker 1: overall less expensive, even as the rents are apparently skyrocketing 682 00:36:43,840 --> 00:36:46,840 Speaker 1: to match some of the larger cities. And then also 683 00:36:46,960 --> 00:36:49,480 Speaker 1: part of why there's a big jump year over years 684 00:36:49,520 --> 00:36:51,960 Speaker 1: because a lot of places, New York City I know 685 00:36:52,080 --> 00:36:55,439 Speaker 1: being one of them, saw a big decrease in rent 686 00:36:55,520 --> 00:36:59,200 Speaker 1: during the pandemic, and so now things are coming back 687 00:36:59,239 --> 00:37:02,719 Speaker 1: and you're seeing you know, rents increasing beyond even where 688 00:37:02,760 --> 00:37:06,360 Speaker 1: they were before the pandemic, as people are having to 689 00:37:06,400 --> 00:37:09,719 Speaker 1: go back in some ways to work. Certainly people who 690 00:37:09,840 --> 00:37:11,840 Speaker 1: you know work service sector jobs, and those sorts of 691 00:37:11,840 --> 00:37:14,960 Speaker 1: things have to be back in the city or town, 692 00:37:15,280 --> 00:37:18,520 Speaker 1: back you know, in the workplace. So a lot of 693 00:37:18,560 --> 00:37:21,719 Speaker 1: the internal migration, as you point out, has to do 694 00:37:21,760 --> 00:37:25,040 Speaker 1: with white collar workers, who many of whom told their 695 00:37:25,080 --> 00:37:27,480 Speaker 1: employers like, I'm not coming back. Yeah, a lot of 696 00:37:27,520 --> 00:37:31,920 Speaker 1: them are like, screw you, I'm not and if you 697 00:37:32,000 --> 00:37:33,480 Speaker 1: are going to make me, then I'm going to find 698 00:37:33,520 --> 00:37:37,640 Speaker 1: another job. And because of the tight labor market, many 699 00:37:37,760 --> 00:37:40,840 Speaker 1: have been able to do that. So just another little 700 00:37:40,880 --> 00:37:44,160 Speaker 1: indicator number one of how everything getting so much more 701 00:37:44,160 --> 00:37:47,840 Speaker 1: expensive and easy, so that even the wage increases that 702 00:37:47,880 --> 00:37:51,000 Speaker 1: we have seen are being eaten into by the increased 703 00:37:51,040 --> 00:37:54,960 Speaker 1: cost of essential goods like food and gas and housing. 704 00:37:55,760 --> 00:37:58,960 Speaker 1: But also just the way that COVID has totally remade 705 00:37:58,960 --> 00:38:01,360 Speaker 1: and reshaped our lands, even ways that we're only beginning 706 00:38:01,360 --> 00:38:04,080 Speaker 1: to wrap our heads around completely. Career. All right, guys, 707 00:38:04,120 --> 00:38:05,680 Speaker 1: enjoy the day. We're gonna have more for you later. 708 00:38:08,200 --> 00:38:10,640 Speaker 1: Chris Christy has been on a book tour. We even 709 00:38:10,680 --> 00:38:12,719 Speaker 1: covered it here on the show. He's been trying to 710 00:38:12,760 --> 00:38:15,960 Speaker 1: hawk his book called Republican Rescue. He's painting himself, setting 711 00:38:16,000 --> 00:38:19,000 Speaker 1: himself up to run against Trump even if Trump does 712 00:38:19,280 --> 00:38:21,320 Speaker 1: run again. He says, we cannot be clinging to stop 713 00:38:21,360 --> 00:38:24,160 Speaker 1: the steal. All I completely agree with, But what did 714 00:38:24,200 --> 00:38:26,400 Speaker 1: I tell you here on the show. If that's your position, 715 00:38:26,600 --> 00:38:29,120 Speaker 1: then you ain't gonna be working in the current Republican party. 716 00:38:29,440 --> 00:38:33,200 Speaker 1: And we have this hilarious piece that we can share 717 00:38:33,239 --> 00:38:34,920 Speaker 1: with all of you. Let's put it up there on 718 00:38:34,960 --> 00:38:38,200 Speaker 1: the screen. Eric Boehler, Look, Eric Bowler is extremely cringe 719 00:38:38,200 --> 00:38:40,560 Speaker 1: in one of those resistance Democrats. But the guy's got 720 00:38:40,560 --> 00:38:42,719 Speaker 1: some reporting, and we're gonna give credit where due. A 721 00:38:42,800 --> 00:38:46,560 Speaker 1: senior publishing source with access to industries book Scan tells 722 00:38:46,560 --> 00:38:51,440 Speaker 1: me Republican Rescue sold just two thousand, two hundred and 723 00:38:51,520 --> 00:38:55,960 Speaker 1: eighty nine copies during its first week in stores, which 724 00:38:56,000 --> 00:39:02,080 Speaker 1: constitutes a colossal publishing flop that is a total disaster. 725 00:39:02,960 --> 00:39:08,280 Speaker 1: On Sunday, Republican Rescue was ranked fifteen thousand, five hundred 726 00:39:08,280 --> 00:39:13,000 Speaker 1: and forty fifth on the Amazon Kindle Store. So he's 727 00:39:13,040 --> 00:39:16,479 Speaker 1: only going to be one hundred digital copies about two 728 00:39:16,480 --> 00:39:20,719 Speaker 1: thousand copies of his book. Look, guys, like, just to 729 00:39:20,719 --> 00:39:23,000 Speaker 1: give you an example, a best just to hit the 730 00:39:23,000 --> 00:39:25,520 Speaker 1: best seller list, you only had to sell five to 731 00:39:25,560 --> 00:39:28,759 Speaker 1: ten thousand books. It's not actually that hard. So he's 732 00:39:28,800 --> 00:39:31,960 Speaker 1: not kracking any bestseller list. This is a total and 733 00:39:32,040 --> 00:39:34,400 Speaker 1: complete flop, and it just goes to show you the 734 00:39:34,440 --> 00:39:38,080 Speaker 1: appetite for what Chris Christy is selling is not there whatsoever. 735 00:39:38,200 --> 00:39:40,879 Speaker 1: I mean, it's kind of insane. And he details. I mean, 736 00:39:41,080 --> 00:39:44,120 Speaker 1: this guy was every he did every major show, making 737 00:39:44,160 --> 00:39:47,799 Speaker 1: the rounds. He was on this Week, he was on 738 00:39:47,960 --> 00:39:50,319 Speaker 1: the View, he was on Fox and Friends, he was 739 00:39:50,360 --> 00:39:52,319 Speaker 1: on Fox News, he was on Fox Business, he was 740 00:39:52,360 --> 00:39:55,239 Speaker 1: on the Daily Show, he was on HBO twice, he 741 00:39:55,360 --> 00:39:59,880 Speaker 1: was on CNBC. And so there's a lot going on 742 00:40:00,080 --> 00:40:02,919 Speaker 1: here because, first of all, it reveals none of those 743 00:40:02,920 --> 00:40:07,400 Speaker 1: places have any sway with their audience. And we actually 744 00:40:07,440 --> 00:40:11,439 Speaker 1: saw that when we were doing did a lot better 745 00:40:11,480 --> 00:40:15,680 Speaker 1: than Chris Christies and was published by really small imprint, 746 00:40:16,239 --> 00:40:19,480 Speaker 1: Ryan Grimm's Publishing mails published it, and you know, we 747 00:40:19,600 --> 00:40:22,760 Speaker 1: got it out depressed really quickly, and all of those things. 748 00:40:22,880 --> 00:40:26,440 Speaker 1: We didn't have nearly this media lineup, but we did 749 00:40:26,480 --> 00:40:29,719 Speaker 1: a couple of cable news appearances and nothing. I mean, 750 00:40:29,760 --> 00:40:35,759 Speaker 1: there are very few, very few hosts and programs where 751 00:40:35,800 --> 00:40:39,520 Speaker 1: you actually see people watch you on there and then 752 00:40:39,640 --> 00:40:42,880 Speaker 1: actually go out and buy books. And apparently none of 753 00:40:42,920 --> 00:40:47,520 Speaker 1: these places on this list make the cut whatsoever. So 754 00:40:47,600 --> 00:40:49,960 Speaker 1: it shows you how little sway they have with their audience. 755 00:40:50,040 --> 00:40:54,040 Speaker 1: Number one, number two. It shows you that there was 756 00:40:54,200 --> 00:40:59,160 Speaker 1: not only was there not Republican interest in Chris Christi, 757 00:40:59,520 --> 00:41:02,520 Speaker 1: there's also not liberal interesting Christi. It was a totally 758 00:41:02,600 --> 00:41:05,000 Speaker 1: complete misreading of the audience to think that they cared 759 00:41:05,000 --> 00:41:06,880 Speaker 1: what this man had to say at all. Because if 760 00:41:06,920 --> 00:41:10,200 Speaker 1: you're a liberal, like the guy who wrote this post, 761 00:41:10,480 --> 00:41:14,640 Speaker 1: Eric Bullert, what you see, rightfully so is someone who 762 00:41:14,719 --> 00:41:16,960 Speaker 1: stood by Trump all the way to the very end, 763 00:41:17,320 --> 00:41:19,439 Speaker 1: you know, and was there helping him with debate prep 764 00:41:19,480 --> 00:41:21,719 Speaker 1: and whatever. So you kind of look at this and go, 765 00:41:21,880 --> 00:41:24,040 Speaker 1: who is this guy to now come and pretend like 766 00:41:24,120 --> 00:41:27,799 Speaker 1: he's some hero. Liberals weren't buying it either, And then 767 00:41:27,880 --> 00:41:31,879 Speaker 1: I think, especially because Christy, if he was really trying 768 00:41:31,880 --> 00:41:34,120 Speaker 1: to sell books, the way to do it would have 769 00:41:34,120 --> 00:41:36,480 Speaker 1: been to lean into like an anti Trump, Oh yeah, 770 00:41:36,520 --> 00:41:39,840 Speaker 1: that's the only title, and have some juicy tello because 771 00:41:39,840 --> 00:41:43,760 Speaker 1: some of those books from within the White House whatever 772 00:41:44,360 --> 00:41:47,280 Speaker 1: have done well. Like in the same week they point 773 00:41:47,320 --> 00:41:50,799 Speaker 1: out that Jonathan Carl's new book Betrayal, The Final Act 774 00:41:50,800 --> 00:41:54,840 Speaker 1: of the Trump Show sold twenty four thousand hard cover copies, 775 00:41:54,880 --> 00:41:57,719 Speaker 1: which is a lot. So you know, if he was 776 00:41:57,760 --> 00:41:59,520 Speaker 1: really trying to sell books, he should have went with 777 00:41:59,600 --> 00:42:02,799 Speaker 1: some life blatantly anti Trump thing. And the fact of 778 00:42:02,840 --> 00:42:06,120 Speaker 1: the matter is that he may as well have done 779 00:42:06,160 --> 00:42:08,759 Speaker 1: that because he's nuked himself with Trump and with the 780 00:42:08,800 --> 00:42:12,880 Speaker 1: Trump base and whatever anyway to prop up a book 781 00:42:12,920 --> 00:42:15,759 Speaker 1: that ultimately people are not interested in reading because they 782 00:42:15,760 --> 00:42:18,640 Speaker 1: don't believe Chris Christy has any real answers to offer 783 00:42:18,680 --> 00:42:22,000 Speaker 1: about the future of the Republican Party. Unfortunately, that's correct. 784 00:42:22,120 --> 00:42:24,440 Speaker 1: So there you go. There you all right? All right, guys, 785 00:42:24,520 --> 00:42:28,440 Speaker 1: enjoy your day. We lot more for you later. Actor 786 00:42:28,480 --> 00:42:32,360 Speaker 1: Alec Baldwin has just given his first interview I think 787 00:42:32,520 --> 00:42:36,400 Speaker 1: since that horrific tragedy occurred on set with accidental shooting 788 00:42:36,520 --> 00:42:40,960 Speaker 1: of a popular cinematographer, he drops. He says something pretty 789 00:42:41,000 --> 00:42:44,600 Speaker 1: interesting about how this ultimately went down. At least according 790 00:42:44,600 --> 00:42:47,200 Speaker 1: to him, Let's take a lesson. She was someone who 791 00:42:47,320 --> 00:42:50,000 Speaker 1: was loved by everyone who worked with, and liked by 792 00:42:50,000 --> 00:43:01,879 Speaker 1: everyone who worked with and admired Even now, I find 793 00:43:01,920 --> 00:43:05,040 Speaker 1: it hard to believe that it. It doesn't seem real 794 00:43:05,080 --> 00:43:08,640 Speaker 1: to me. You haven't said much in public since that 795 00:43:08,680 --> 00:43:13,600 Speaker 1: tragic accident. Why speak out now? I think the big 796 00:43:13,719 --> 00:43:15,840 Speaker 1: question and the one you must have asked yourself a 797 00:43:15,880 --> 00:43:22,480 Speaker 1: thousand times, how could this have happened? You've described it 798 00:43:22,520 --> 00:43:25,160 Speaker 1: as the one natrillion shot, and the gun was in 799 00:43:25,200 --> 00:43:28,480 Speaker 1: your hand. How do you come to terms with that? 800 00:43:31,120 --> 00:43:34,319 Speaker 1: It wasn't in the script for the trigger to be pulled. Well, 801 00:43:34,360 --> 00:43:36,319 Speaker 1: the trigger wasn't pulled. I didn't pull the trigger, So 802 00:43:36,440 --> 00:43:38,600 Speaker 1: you never pulled the trigger? No, no, no, no. I 803 00:43:38,640 --> 00:43:40,879 Speaker 1: would never point a gun to pull a trigger at them. Never. 804 00:43:41,040 --> 00:43:44,200 Speaker 1: What did you think happened? How did a real bullet 805 00:43:44,200 --> 00:43:46,480 Speaker 1: get out of it? Said? I have no idea. Someone 806 00:43:46,520 --> 00:43:48,560 Speaker 1: put a live bullet in a gun, a bullet that 807 00:43:48,600 --> 00:43:51,600 Speaker 1: wasn't even supposed to be on the property. How do 808 00:43:51,600 --> 00:43:53,920 Speaker 1: you respond to actors like George Clooney You say that 809 00:43:54,000 --> 00:43:56,360 Speaker 1: every time they were handed a gun, they checked it themselves. 810 00:43:58,320 --> 00:44:01,640 Speaker 1: Your emotions are so clearly, so right there on the surface. 811 00:44:02,239 --> 00:44:06,880 Speaker 1: You felt shock, you felt anger, you felt sadness. Do 812 00:44:06,920 --> 00:44:10,640 Speaker 1: you feel guilt? You said, you're not a victim, But 813 00:44:11,040 --> 00:44:16,719 Speaker 1: is this the worst thing that's ever happened to Yes? Yeah, yeah, 814 00:44:17,800 --> 00:44:22,919 Speaker 1: because I think back and I think of what could 815 00:44:22,960 --> 00:44:28,960 Speaker 1: I have done? Alec Baldwin unscripted the news making special 816 00:44:28,960 --> 00:44:32,920 Speaker 1: event tomorrow night at eight seventh Central on ABC and 817 00:44:33,040 --> 00:44:39,319 Speaker 1: stream on Hulu. So that's the problem for it. So 818 00:44:39,400 --> 00:44:41,759 Speaker 1: the interesting thing there, obviously is he says he did 819 00:44:41,840 --> 00:44:47,400 Speaker 1: not pull the trigger very emphatically, right, which you know. 820 00:44:47,520 --> 00:44:49,799 Speaker 1: I grew up with firearms around, learned to shoot when 821 00:44:49,840 --> 00:44:50,960 Speaker 1: I was young, and all that stuff. But I am, 822 00:44:51,000 --> 00:44:55,120 Speaker 1: by no means a weapons expert. So when I initially 823 00:44:55,160 --> 00:44:57,400 Speaker 1: heard that, I thought, there's no like I mean, I 824 00:44:57,400 --> 00:44:59,680 Speaker 1: personally thought it was lying. You have to put trigger right, 825 00:45:00,320 --> 00:45:03,040 Speaker 1: That's how that works. But I will say that I 826 00:45:03,080 --> 00:45:06,799 Speaker 1: asked my dad, who is very into guns. This is 827 00:45:06,840 --> 00:45:09,400 Speaker 1: his hobby and his passion for many years. He also 828 00:45:09,560 --> 00:45:12,799 Speaker 1: is very interested in the engineering and the mechanics of it, etc. 829 00:45:13,480 --> 00:45:16,680 Speaker 1: And so I said, what people think The gun that 830 00:45:16,760 --> 00:45:19,600 Speaker 1: was used here was a cult single action? And I said, 831 00:45:19,680 --> 00:45:22,640 Speaker 1: is this possible at all? Let me read you his text. 832 00:45:22,760 --> 00:45:25,080 Speaker 1: He says, a single action means it has to be 833 00:45:25,120 --> 00:45:27,680 Speaker 1: cocked manually by pulling the hammer back. If that has 834 00:45:27,719 --> 00:45:30,360 Speaker 1: been done, then normally a light pull on the trigger 835 00:45:30,360 --> 00:45:32,239 Speaker 1: could set it off, whether by a trigger finger or 836 00:45:32,239 --> 00:45:36,320 Speaker 1: something else catching the trigger. However, for some older type revolvers, 837 00:45:36,360 --> 00:45:38,719 Speaker 1: it is considered dangerous to have a cartridge in the 838 00:45:38,760 --> 00:45:42,759 Speaker 1: cylinder where the hammer rests, because it is possible for 839 00:45:42,880 --> 00:45:45,600 Speaker 1: a bump against something to cause the gun to fire. 840 00:45:45,920 --> 00:45:48,080 Speaker 1: I hadn't thought of this before, but under this condition, 841 00:45:48,200 --> 00:45:51,320 Speaker 1: it is possible that the gun went out off without 842 00:45:51,320 --> 00:45:54,279 Speaker 1: the trigger being pulled. Most modern revolvers are designed so 843 00:45:54,320 --> 00:45:56,560 Speaker 1: that can't happen, but there are still many revolvers around 844 00:45:56,640 --> 00:45:59,440 Speaker 1: where it could, so it is possible. Baldwood may be 845 00:45:59,520 --> 00:46:02,399 Speaker 1: telling the So that's per my dad. Yeah, well, and 846 00:46:02,760 --> 00:46:05,319 Speaker 1: you know, it's interesting because what George Clooney brought up 847 00:46:05,440 --> 00:46:07,200 Speaker 1: or sorry, what George chef Nam was brought up there 848 00:46:07,200 --> 00:46:10,319 Speaker 1: about George Clooney is arguably more important to me than 849 00:46:10,360 --> 00:46:13,800 Speaker 1: all of the semantics. What Clooney actually had read this interview. 850 00:46:13,880 --> 00:46:16,480 Speaker 1: So what he points to is that he was like, 851 00:46:16,719 --> 00:46:20,319 Speaker 1: all of this stuff they're saying is completely crazy. So 852 00:46:20,360 --> 00:46:23,120 Speaker 1: he was like, I've never heard the term cold gun. 853 00:46:23,480 --> 00:46:25,799 Speaker 1: He goes, I've never heard of a lot of these 854 00:46:26,440 --> 00:46:30,200 Speaker 1: so called safety practices that they're doing there. He said 855 00:46:30,320 --> 00:46:32,800 Speaker 1: that it's very clear that a lot of the stuff 856 00:46:32,800 --> 00:46:34,960 Speaker 1: that they were doing on the set was made up 857 00:46:35,000 --> 00:46:38,520 Speaker 1: and was terrible in terms of standard safety procedure. Even 858 00:46:38,640 --> 00:46:43,520 Speaker 1: more further, he says, quote, every single time I'm handed 859 00:46:43,520 --> 00:46:46,560 Speaker 1: a gun on set, every time they hand me a gun, 860 00:46:46,719 --> 00:46:49,120 Speaker 1: I look at it, I open it, I show it 861 00:46:49,160 --> 00:46:51,440 Speaker 1: to the person I'm pointing it to, we show it 862 00:46:51,480 --> 00:46:56,080 Speaker 1: to the crew. Quote. Everyone does it, and everybody knows. 863 00:46:56,640 --> 00:47:00,560 Speaker 1: Maybe Alec did that. Hopefully he did, although initial police 864 00:47:00,560 --> 00:47:03,680 Speaker 1: reports suggests that he relied on the cold gun call 865 00:47:03,960 --> 00:47:07,319 Speaker 1: from his crew. So what we're pointing to there is 866 00:47:07,360 --> 00:47:10,520 Speaker 1: that Clooney and many other high level actors had said 867 00:47:10,520 --> 00:47:13,960 Speaker 1: in the past that they have much more stringent safety 868 00:47:14,000 --> 00:47:16,480 Speaker 1: procedures on their end and also in terms of how 869 00:47:16,560 --> 00:47:19,439 Speaker 1: they interact with the other. Thing is Alec Baldwin says, 870 00:47:19,680 --> 00:47:22,799 Speaker 1: I did not pull the trigger, but as look, once again, 871 00:47:22,880 --> 00:47:24,720 Speaker 1: I did not grow up around guns. I've spent a 872 00:47:24,840 --> 00:47:27,360 Speaker 1: very extremely I think I've been to a range like 873 00:47:27,400 --> 00:47:30,720 Speaker 1: four times. Even I know you don't put the finger 874 00:47:30,760 --> 00:47:33,920 Speaker 1: on the trigger unless you're intent on pulling it and 875 00:47:33,960 --> 00:47:36,520 Speaker 1: you're pointing it at somebody that it's you know, in 876 00:47:36,560 --> 00:47:39,640 Speaker 1: a very very dire situation, and otherwise you should have 877 00:47:39,680 --> 00:47:42,200 Speaker 1: your finger off the trigger in order to avoid even 878 00:47:42,239 --> 00:47:44,520 Speaker 1: that slight bump that your dad talked about it. So 879 00:47:44,560 --> 00:47:47,880 Speaker 1: maybe Alec Baldwin, who I assume does not even know 880 00:47:47,880 --> 00:47:50,239 Speaker 1: that much about guns, maybe he put his finger on 881 00:47:50,280 --> 00:47:53,080 Speaker 1: the trigger but did not pull the trigger. But even 882 00:47:53,080 --> 00:47:55,120 Speaker 1: that slight amount of pressure in an older type of 883 00:47:55,160 --> 00:47:57,920 Speaker 1: gun could have led to the I don't think the 884 00:47:58,000 --> 00:48:02,240 Speaker 1: term that you use, the term accident discharge or whatever. Look, 885 00:48:02,640 --> 00:48:05,560 Speaker 1: all of it is speculation. It's pretty interesting that he's 886 00:48:05,600 --> 00:48:08,680 Speaker 1: saying that he didn't pull it, but like I said, 887 00:48:08,920 --> 00:48:12,520 Speaker 1: it seems to be an amalgamation of like terrible safety 888 00:48:12,520 --> 00:48:15,600 Speaker 1: practice in the first place, live gunl bullet Now i'veamo 889 00:48:15,680 --> 00:48:18,880 Speaker 1: never should have been on the set period, inexperienced safety procedure, 890 00:48:19,520 --> 00:48:22,960 Speaker 1: other people in Hollywood calling him out hardcore being like sorry, man, 891 00:48:23,080 --> 00:48:26,160 Speaker 1: like you did not follow the stuff that we've all 892 00:48:26,200 --> 00:48:28,520 Speaker 1: been doing for years. And we also know that a 893 00:48:28,560 --> 00:48:31,200 Speaker 1: lot of members of the crew were very unhappy, unhappy 894 00:48:31,239 --> 00:48:34,200 Speaker 1: with the safety conditions, safety conditions and the work conditions, 895 00:48:34,280 --> 00:48:38,440 Speaker 1: and several had just resigned in protest over some of 896 00:48:38,480 --> 00:48:42,400 Speaker 1: the work conditions. And the armor who was supposed to 897 00:48:42,440 --> 00:48:45,520 Speaker 1: be overseeing the safety protocols was very new. This was 898 00:48:45,560 --> 00:48:48,600 Speaker 1: only her I think second movie that she had served 899 00:48:48,600 --> 00:48:52,400 Speaker 1: in that capacity, and some of the things that they 900 00:48:52,400 --> 00:48:54,479 Speaker 1: had said too, like it never should have even been 901 00:48:54,560 --> 00:48:56,879 Speaker 1: that producer who was handing a gun off. It should 902 00:48:56,960 --> 00:48:59,000 Speaker 1: have been the armor. So even some things that have 903 00:48:59,120 --> 00:49:02,799 Speaker 1: come out have been real red flags to people. Obviously, 904 00:49:03,000 --> 00:49:05,480 Speaker 1: there were a million mistakes that were made along the 905 00:49:05,520 --> 00:49:07,560 Speaker 1: way here to get to the point where it's even 906 00:49:07,640 --> 00:49:11,920 Speaker 1: relevant whether or not Alec Baldwin ultimately pulled the trigger 907 00:49:12,040 --> 00:49:16,720 Speaker 1: or bumped the trigger or something happened, because all along 908 00:49:16,760 --> 00:49:19,680 Speaker 1: the way there never should have even been live ammo 909 00:49:19,800 --> 00:49:22,720 Speaker 1: on that set at all. How does that even happen? 910 00:49:22,960 --> 00:49:25,480 Speaker 1: Is still a question that no one knows the answer 911 00:49:25,480 --> 00:49:28,000 Speaker 1: to it, at least not publicly. Still still waiting to 912 00:49:28,040 --> 00:49:30,440 Speaker 1: hear on that one. All right, So we'll watch that interview, 913 00:49:30,480 --> 00:49:32,600 Speaker 1: see if there are any other nuggets for you. In 914 00:49:32,640 --> 00:49:34,840 Speaker 1: the meantime, guys, enjoy your day. We'll have more content 915 00:49:34,920 --> 00:49:37,200 Speaker 1: for you later. Hey, guys, thanks so much for watching. 916 00:49:37,360 --> 00:49:39,160 Speaker 1: That's right. Just as a reminder, you can become a 917 00:49:39,160 --> 00:49:42,719 Speaker 1: premium subscriber today. Watch the full show, completely uncut, our 918 00:49:42,760 --> 00:49:45,000 Speaker 1: reactions to each other's monologues. You get to listen to it, 919 00:49:45,040 --> 00:49:47,280 Speaker 1: you get to ask us questions all that good stuff. 920 00:49:47,360 --> 00:49:50,040 Speaker 1: Link is right there in the description or at breakingpoints 921 00:49:50,040 --> 00:49:52,200 Speaker 1: dot com. Best of all, great way to say screw 922 00:49:52,239 --> 00:49:59,799 Speaker 1: you to the mainstream media.